Faculty In Artificial Intelligence And Machine Learning Bengaluru jobs in Bengaluru – Browse 4,722 openings on RoboApply Jobs
Faculty In Artificial Intelligence And Machine Learning Bengaluru jobs in Bengaluru
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Faculty in Artificial Intelligence and Machine Learning - Bengaluru
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Experience Level
Mid to Senior
Qualifications
Qualifications:• Master’s degree in a relevant field (e.g., Digital Marketing, Management, AI, or ML).• Proven experience in teaching foundational subjects in Digital Marketing and Management.• Strong knowledge of curriculum development and content creation.• Excellent communication and interpersonal skills.• Ability to mentor and guide students in a supportive and constructive manner.
About the job
Key Responsibilities:
• Deliver engaging classroom instruction and facilitate foundational courses in Digital Marketing and Management.
• Responsible for the delivery and facilitation of programs such as BBA in Digital Marketing and other related fields.
• Develop and create innovative curriculum content.
• Conduct workshops and masterclasses in Digital Marketing and related subjects.
• Provide mentoring and support to students in preparation for internships and job placements.
• Ensure compliance with partnered university standards in examination, evaluation, and academic administration.
• Mentor students on live projects, assignments, and offer personal guidance and counseling, providing offline support for feedback and doubt resolution.
• Maintain accurate class records and relevant academic data.
• Assess students’ performance and evaluate final scores, credits, and other university submissions.
• Liaise effectively with the ImaginXP Academic Head and the Dean of the partnered university.
About ImaginXP
ImaginXP is a premier Ed-Tech organization focused on equipping learners with future skills. We address the educational needs and skill gaps in the higher education landscape by providing high-quality curricula, well-trained faculty, and a digital platform featuring over 100 corporate coaches across various subjects. With over 15,000 learners enrolled in industry-oriented full-time degree programs in areas such as UX Design, Communication Design, FinTech, AI & ML, and more, we are reshaping higher education. As a virtual university, we offer live classroom access, challenges, a certification academy, events, and corporate mentors guiding students throughout their academic journey. ImaginXP is also a leader in providing high-quality training and workshops in User Experience and Design Thinking for professionals.
Key Responsibilities:• Deliver engaging classroom instruction and facilitate foundational courses in Digital Marketing and Management.• Responsible for the delivery and facilitation of programs such as BBA in Digital Marketing and other related fields.• Develop and create innovative curriculum content.• Conduct workshops and masterclasses in Digital Marketing and related subjects.• Provide mentoring and support to students in preparation for internships and job placements.• Ensure compliance with partnered university standards in examination, evaluation, and academic administration.• Mentor students on live projects, assignments, and offer personal guidance and counseling, providing offline support for feedback and doubt resolution.• Maintain accurate class records and relevant academic data.• Assess students’ performance and evaluate final scores, credits, and other university submissions.• Liaise effectively with the ImaginXP Academic Head and the Dean of the partnered university.
Join Lookout, Inc., a leading global name in cybersecurity, as we fortify enterprise defenses against human error and manipulation. Our cloud-native platform is designed for quick deployment and streamlined security operations, protecting mobile devices from the rising tide of human-centric attacks. Cybercriminals increasingly target individuals through social engineering tactics that exploit trust, curiosity, and urgency, leading them to compromise sensitive information. We specialize in Lookout Endpoint Detection and Response (EDR), which continuously monitors mobile endpoints for indications of human-centric attacks, traditional malware, software vulnerabilities, and other unusual activities. By leveraging advanced threat detection methods, including artificial intelligence (AI) and behavioral analysis, we identify potential threats before they can escalate. Lookout's backend systems are engineered to handle vast amounts of data while meeting the growing demand for data ingestion, delivery, and dynamic analysis. We seek skilled and driven engineers to develop core components and services, contributing to the advancement of our architecture. As part of our small team, you'll work on a large-scale, modern system with millions of users, allowing you to engage with cutting-edge products and services.
Join our dynamic team at Code and Theory as a Lead Machine Learning Engineer, where your expertise in large language models (LLMs), multi-agent systems, and flow engineering will drive innovation and success. We are looking for a PhD-level professional who not only possesses strong technical skills but also has a passion for mentoring and guiding our machine learning team while advocating for the latest technologies.Key Responsibilities:Lead the technical innovation process, fostering strong relationships to ensure the effective development and deployment of cutting-edge LLMs.Collaborate with cross-functional teams and stakeholders to seamlessly integrate LLMs into diverse applications and workflows, offering expert technical guidance and support.Formulate and implement extensive testing strategies to validate the performance and efficacy of LLMs across various applications.Innovate by designing and developing unique LLM architectures that align with specific business objectives and identify enhancement opportunities within existing models.Stay ahead of industry trends by researching and exploring new methodologies, algorithms, and tools.Identify, curate, and manage high-quality datasets relevant to business goals, suitable for training, validating, and testing LLMs.Investigate alternative data sources, create synthetic datasets, and develop bespoke data generation techniques.
Job Summary: We are seeking a highly skilled Staff Data Scientist with a deep understanding of the GenAI stack, particularly in audio and video generation models. In this role, you will leverage your strategic thinking abilities to independently manage and execute complex data projects, providing valuable insights and innovative solutions. The ideal candidate will demonstrate a solid grasp of data science principles and a history of utilizing data-driven strategies to propel business growth.About the Team: Join our dynamic, AI-focused team that thrives on creativity and innovation. We specialize in transforming ambitious ideas into impactful products, from rapid prototypes to scalable platforms that foster growth. Our mission is to empower creators by enhancing their narratives with cutting-edge AI systems. In this collaborative environment, you will explore the intersection of creativity and technology, crafting holistic experiences and experimenting with emerging technologies to redefine the landscape of entertainment content.
keywords-intl1 is looking for a Project Lead - Artificial Intelligence to join the team in Bengaluru, Karnataka, India. This position guides AI projects from initial planning through final delivery, working with colleagues across multiple departments. Key Responsibilities Direct artificial intelligence projects from start to finish Manage project schedules and deliverables Collaborate with teams from various areas of the company to develop AI solutions Ensure project results support the company's strategic goals Location This role is based in Bengaluru, Karnataka, India.
Join Endava as a Senior Machine Learning Engineer and play a pivotal role in developing innovative machine learning solutions that drive our clients' success. In this position, you will leverage your expertise in algorithms, data modeling, and statistical analysis to create predictive models and enhance decision-making processes.You will collaborate with cross-functional teams to implement state-of-the-art machine learning techniques and contribute to the design and architecture of scalable data systems. If you are passionate about machine learning and eager to deliver impactful results, we want to hear from you!
Join FiniteHR Consulting as an NLP Data Scientist and be at the forefront of artificial intelligence innovation. In this role, you will leverage your expertise in Natural Language Processing to develop cutting-edge solutions that drive business insights and enhance user experiences. Collaborate with cross-functional teams to analyze complex data sets and create models that understand and generate human language.
Join Consuma as a Machine Learning Engineer, where you'll be responsible for designing and enhancing AI systems that drive our innovative research platform. Your expertise will span across retrieval systems, large language models (LLMs), and intelligent workflows to elevate brand research from brief to comprehensive reports in mere minutes.
About Cognite Cognite builds AI and data solutions for industrial digitalization. The company draws on its industrial background to deliver tools that help organizations address complex challenges. With offerings such as low-code AI agents, Cognite supports digital transformation and operational improvement across sectors. The team values persistence and growth through challenge. Those who see obstacles as opportunities tend to thrive here. Cognite’s goal is ambitious: unlock $100 billion in customer value by 2035 and help reshape the global industrial landscape. Learn more about this vision in their newsroom.
About Cognite Cognite builds AI and data solutions for industrial digitalization. The team focuses on solving complex, high-impact problems using a strong mix of industrial expertise and AI tools, including low-code AI agents. These solutions help organizations move faster and operate more efficiently. The culture at Cognite values questioning assumptions, moving quickly, and taking ownership. People who see challenges as opportunities tend to succeed here. Cognite’s long-term goal is ambitious: to unlock $100 billion in customer value by 2035 and reshape how global industries operate. Learn more about this vision in their Moonshot announcement.
Join Abstrabitte Technologies Pvt Ltd as a Senior AI/ML Engineer, where you will play a pivotal role in developing cutting-edge machine learning models and artificial intelligence solutions. You will collaborate with a talented team of engineers and data scientists to innovate and deliver impactful AI applications.
Are you driven by a passion for Artificial Intelligence and eager to foster innovation within a dynamic, impact-oriented environment? Do you possess substantial experience in developing AI-driven applications and have a knack for mentoring others? If this resonates with you, we would love for you to become a part of our team at Nexthink as a Senior AI & ML Engineer!In this pivotal role as a senior member of the AI team, you will spearhead architectural decisions, set best practices, and deliver resilient, scalable AI systems, with a keen focus on AI-driven and agentic applications operating in production settings.Key ResponsibilitiesLead AI Development: Take ownership of the comprehensive design, development, and operational management of production-level AI/ML solutions, encompassing ML and NLP models, large language models (LLM), retrieval-augmented generation (RAG), and multi-agent systems. Make critical architectural decisions regarding model selection, training methodologies, retrieval techniques, orchestration frameworks, and infrastructure.AI Excellence: Develop evaluations and establish success metrics utilizing state-of-the-art AI platforms.MLOps: Apply and oversee MLOps methodologies to enhance the deployment, monitoring, and maintenance of models in production environments.Collaboration & Leadership: Partner closely with software engineers, data scientists, and product teams to synchronize AI capabilities with business objectives.Mentorship & Coaching: Provide guidance and support to junior AI engineers, nurturing a culture of continuous learning and knowledge sharing.
Who are we?Our MissionAt Altimate AI, we are a groundbreaking seed-stage startup transforming the operations of data teams by automating essential yet repetitive tasks. Our innovative AI assistant, DataPilot, is designed to reduce costs, improve data quality, and accelerate development cycles for data teams. DataPilot's AI agents integrate effortlessly into everyday workflows, providing a unique combination of AI-powered support via VSCode IDE extensions, browser-based applications, and a flexible SaaS platform. As we revolutionize development tools through AI, our product is utilized by hundreds of companies globally and is backed by a vibrant community of thousands of data professionals.Our TeamWe are a team of Silicon Valley veterans who have previously developed category-defining data and AI products cherished by numerous companies worldwide. Having closely experienced the transition from a small startup to an IPO, we are embarking on a similar journey once again, supported by distinguished advisors and venture capital firms with extensive portfolios.What We SeekWe are in search of a Machine Learning Engineer who is passionate about innovation and adept at solving complex problems that go beyond traditional coding. Ideal candidates will have a deep understanding of machine learning algorithms, data structures, and modeling techniques, along with a drive to design and enhance the core of our AI-driven solutions.
Who We AreEma is pioneering a revolutionary AI technology aimed at empowering every employee within the enterprise to unlock their full potential in creativity and productivity. Our proprietary technology enables companies to automate repetitive tasks, allowing their workforce to focus on more impactful work. Founded by former executives from Google, Coinbase, and Okta, as well as seasoned entrepreneurs, we have attracted investment from prominent backers including Accel Partners, Naspers, Section32, and renowned Silicon Valley Angels like Sheryl Sandberg, Divesh Makan, Jerry Yang, Dustin Moskovitz, David Baszucki, and Gokul Rajaram.Our team is a powerhouse of exceptional talent, featuring engineers from top tech giants like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Our members hail from prestigious institutions such as Stanford, MIT, UC Berkeley, CMU, and the Indian Institute of Technology. With robust funding from elite investors and angel backers, Ema operates from Silicon Valley and Bengaluru, India. This position offers a hybrid work model, requiring employees to work from the office three days a week.Who You AreWe seek innovative and passionate Machine Learning Engineers eager to join our dynamic team. You thrive on solving complex challenges, relish working with substantial datasets, and excel at transforming theoretical concepts into scalable practical solutions. As a collaborative team player, you also flourish in independent environments where your ideas can drive significant change. You are excited about leveraging machine learning techniques to explore the frontiers of Natural Language Processing, Information Retrieval, and related technologies. Most importantly, you are enthusiastic about contributing to a mission-driven, high-growth startup poised to make a lasting impact.Your ResponsibilitiesConceptualize, develop, and deploy machine learning models that serve as the backbone of our NLP, retrieval, ranking, reasoning, dialogue, and code-generation systems.Implement cutting-edge machine learning algorithms, including Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems, to enhance the performance of our AI solutions.Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured) and utilize insights to refine our model development.Engage across the complete lifecycle of ML model development — from problem definition and data exploration to feature engineering and model evaluation.
Join our dynamic team at Earnin as a Senior Machine Learning Engineer, where you will leverage your expertise to develop innovative machine learning solutions that empower our users. You will play a crucial role in transforming data into actionable insights, enhancing our platform's capabilities, and driving business growth.
Join Continental as an IT Engineer specializing in Machine Learning, where you will leverage cutting-edge technologies to enhance our innovative solutions. As part of our dynamic team in Bengaluru, you will work on developing and implementing machine learning models, contributing to projects that have a significant impact on the automotive industry.
Join our dynamic team at Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.
Join Tekion as a Senior Machine Learning Engineer, where you'll be at the forefront of innovation in the automotive industry. Your expertise will contribute to developing cutting-edge machine learning solutions that enhance our platform's functionality and performance. Collaborate with cross-functional teams to design and implement scalable algorithms, transforming complex data into actionable insights.
Roles & Responsibilities:Deliver engaging classroom instruction in foundational subjects of Digital Marketing and Management.Facilitate programs such as BBA in Digital Marketing and related curricula.Develop and enhance curriculum content for various courses.Conduct workshops and master classes on Digital Marketing and associated topics.Mentor students for internships and job placements, providing guidance and support.Ensure compliance with partnered university examination and evaluation standards.Offer personal support to students for project feedback and doubt resolution.Maintain accurate class records and relevant academic data.Assess students' final submissions and evaluate their performance in accordance with university standards.Collaborate with the Academic Head and Dean of the partnered university.
Join Ema as a Principal Machine Learning EngineerEma is pioneering the future of AI technology, enabling every employee within enterprises to unlock their full creative and productive potential. Our cutting-edge platform allows businesses to assign repetitive tasks to Ema, the Universal AI Employee—a robust, secure, and intelligent collaborator that seamlessly integrates across various workflows and systems.Founded by seasoned professionals from Google, Coinbase, and Okta, and supported by prominent investors and angels, Ema is headquartered in Silicon Valley and Bangalore. We operate as a hybrid team, and we expect our team members to work from the office three days a week.Role Overview & Key ResponsibilitiesThis leadership role is pivotal and encompasses architecture, execution, and organizational development, driving the direction of our AI and ML initiatives at Ema. We are in search of a technical leader in AI and ML who can translate vision into reality. As a Principal ML Engineer, you will be instrumental in shaping the machine learning roadmap, designing large-scale ML systems, fostering innovation, and ensuring the accuracy and performance of our diverse models (including LLM, SLM, and Custom Models) at scale. You will work collaboratively across teams—ranging from research and product to infrastructure and data—while mentoring senior engineers and influencing strategic and executional decisions at the company-wide level.ResponsibilitiesGuide the technical strategy for GenAI and agentic ML systems that support enterprise-grade AI agents, covering reasoning, retrieval, tool utilization, and integration with various SaaS products.Design and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation, ensuring robustness, low latency, and continuous learning.Develop and manage a multi-year ML roadmap for GenAI infrastructure, including agent frameworks, RAG systems, evaluation loops, and integration with MCP, browser, and vision pipelines.Incorporate cutting-edge ML methodologies and research (such as deep learning, large models, recommender systems, and LLMs) into Ema’s products and infrastructure.Experiment with and integrate advanced ML and LLM innovations (e.g., reasoning, memory architectures, multi-modal perception, long-context models, and autonomous agents) into the platform.Balance trade-offs among accuracy, latency, cost, interpretability, and real-world reliability throughout the agent lifecycle, from prompt design to orchestration and execution.
Key Responsibilities:• Deliver engaging classroom instruction and facilitate foundational courses in Digital Marketing and Management.• Responsible for the delivery and facilitation of programs such as BBA in Digital Marketing and other related fields.• Develop and create innovative curriculum content.• Conduct workshops and masterclasses in Digital Marketing and related subjects.• Provide mentoring and support to students in preparation for internships and job placements.• Ensure compliance with partnered university standards in examination, evaluation, and academic administration.• Mentor students on live projects, assignments, and offer personal guidance and counseling, providing offline support for feedback and doubt resolution.• Maintain accurate class records and relevant academic data.• Assess students’ performance and evaluate final scores, credits, and other university submissions.• Liaise effectively with the ImaginXP Academic Head and the Dean of the partnered university.
Join Lookout, Inc., a leading global name in cybersecurity, as we fortify enterprise defenses against human error and manipulation. Our cloud-native platform is designed for quick deployment and streamlined security operations, protecting mobile devices from the rising tide of human-centric attacks. Cybercriminals increasingly target individuals through social engineering tactics that exploit trust, curiosity, and urgency, leading them to compromise sensitive information. We specialize in Lookout Endpoint Detection and Response (EDR), which continuously monitors mobile endpoints for indications of human-centric attacks, traditional malware, software vulnerabilities, and other unusual activities. By leveraging advanced threat detection methods, including artificial intelligence (AI) and behavioral analysis, we identify potential threats before they can escalate. Lookout's backend systems are engineered to handle vast amounts of data while meeting the growing demand for data ingestion, delivery, and dynamic analysis. We seek skilled and driven engineers to develop core components and services, contributing to the advancement of our architecture. As part of our small team, you'll work on a large-scale, modern system with millions of users, allowing you to engage with cutting-edge products and services.
Join our dynamic team at Code and Theory as a Lead Machine Learning Engineer, where your expertise in large language models (LLMs), multi-agent systems, and flow engineering will drive innovation and success. We are looking for a PhD-level professional who not only possesses strong technical skills but also has a passion for mentoring and guiding our machine learning team while advocating for the latest technologies.Key Responsibilities:Lead the technical innovation process, fostering strong relationships to ensure the effective development and deployment of cutting-edge LLMs.Collaborate with cross-functional teams and stakeholders to seamlessly integrate LLMs into diverse applications and workflows, offering expert technical guidance and support.Formulate and implement extensive testing strategies to validate the performance and efficacy of LLMs across various applications.Innovate by designing and developing unique LLM architectures that align with specific business objectives and identify enhancement opportunities within existing models.Stay ahead of industry trends by researching and exploring new methodologies, algorithms, and tools.Identify, curate, and manage high-quality datasets relevant to business goals, suitable for training, validating, and testing LLMs.Investigate alternative data sources, create synthetic datasets, and develop bespoke data generation techniques.
Job Summary: We are seeking a highly skilled Staff Data Scientist with a deep understanding of the GenAI stack, particularly in audio and video generation models. In this role, you will leverage your strategic thinking abilities to independently manage and execute complex data projects, providing valuable insights and innovative solutions. The ideal candidate will demonstrate a solid grasp of data science principles and a history of utilizing data-driven strategies to propel business growth.About the Team: Join our dynamic, AI-focused team that thrives on creativity and innovation. We specialize in transforming ambitious ideas into impactful products, from rapid prototypes to scalable platforms that foster growth. Our mission is to empower creators by enhancing their narratives with cutting-edge AI systems. In this collaborative environment, you will explore the intersection of creativity and technology, crafting holistic experiences and experimenting with emerging technologies to redefine the landscape of entertainment content.
keywords-intl1 is looking for a Project Lead - Artificial Intelligence to join the team in Bengaluru, Karnataka, India. This position guides AI projects from initial planning through final delivery, working with colleagues across multiple departments. Key Responsibilities Direct artificial intelligence projects from start to finish Manage project schedules and deliverables Collaborate with teams from various areas of the company to develop AI solutions Ensure project results support the company's strategic goals Location This role is based in Bengaluru, Karnataka, India.
Join Endava as a Senior Machine Learning Engineer and play a pivotal role in developing innovative machine learning solutions that drive our clients' success. In this position, you will leverage your expertise in algorithms, data modeling, and statistical analysis to create predictive models and enhance decision-making processes.You will collaborate with cross-functional teams to implement state-of-the-art machine learning techniques and contribute to the design and architecture of scalable data systems. If you are passionate about machine learning and eager to deliver impactful results, we want to hear from you!
Join FiniteHR Consulting as an NLP Data Scientist and be at the forefront of artificial intelligence innovation. In this role, you will leverage your expertise in Natural Language Processing to develop cutting-edge solutions that drive business insights and enhance user experiences. Collaborate with cross-functional teams to analyze complex data sets and create models that understand and generate human language.
Join Consuma as a Machine Learning Engineer, where you'll be responsible for designing and enhancing AI systems that drive our innovative research platform. Your expertise will span across retrieval systems, large language models (LLMs), and intelligent workflows to elevate brand research from brief to comprehensive reports in mere minutes.
About Cognite Cognite builds AI and data solutions for industrial digitalization. The company draws on its industrial background to deliver tools that help organizations address complex challenges. With offerings such as low-code AI agents, Cognite supports digital transformation and operational improvement across sectors. The team values persistence and growth through challenge. Those who see obstacles as opportunities tend to thrive here. Cognite’s goal is ambitious: unlock $100 billion in customer value by 2035 and help reshape the global industrial landscape. Learn more about this vision in their newsroom.
About Cognite Cognite builds AI and data solutions for industrial digitalization. The team focuses on solving complex, high-impact problems using a strong mix of industrial expertise and AI tools, including low-code AI agents. These solutions help organizations move faster and operate more efficiently. The culture at Cognite values questioning assumptions, moving quickly, and taking ownership. People who see challenges as opportunities tend to succeed here. Cognite’s long-term goal is ambitious: to unlock $100 billion in customer value by 2035 and reshape how global industries operate. Learn more about this vision in their Moonshot announcement.
Join Abstrabitte Technologies Pvt Ltd as a Senior AI/ML Engineer, where you will play a pivotal role in developing cutting-edge machine learning models and artificial intelligence solutions. You will collaborate with a talented team of engineers and data scientists to innovate and deliver impactful AI applications.
Are you driven by a passion for Artificial Intelligence and eager to foster innovation within a dynamic, impact-oriented environment? Do you possess substantial experience in developing AI-driven applications and have a knack for mentoring others? If this resonates with you, we would love for you to become a part of our team at Nexthink as a Senior AI & ML Engineer!In this pivotal role as a senior member of the AI team, you will spearhead architectural decisions, set best practices, and deliver resilient, scalable AI systems, with a keen focus on AI-driven and agentic applications operating in production settings.Key ResponsibilitiesLead AI Development: Take ownership of the comprehensive design, development, and operational management of production-level AI/ML solutions, encompassing ML and NLP models, large language models (LLM), retrieval-augmented generation (RAG), and multi-agent systems. Make critical architectural decisions regarding model selection, training methodologies, retrieval techniques, orchestration frameworks, and infrastructure.AI Excellence: Develop evaluations and establish success metrics utilizing state-of-the-art AI platforms.MLOps: Apply and oversee MLOps methodologies to enhance the deployment, monitoring, and maintenance of models in production environments.Collaboration & Leadership: Partner closely with software engineers, data scientists, and product teams to synchronize AI capabilities with business objectives.Mentorship & Coaching: Provide guidance and support to junior AI engineers, nurturing a culture of continuous learning and knowledge sharing.
Who are we?Our MissionAt Altimate AI, we are a groundbreaking seed-stage startup transforming the operations of data teams by automating essential yet repetitive tasks. Our innovative AI assistant, DataPilot, is designed to reduce costs, improve data quality, and accelerate development cycles for data teams. DataPilot's AI agents integrate effortlessly into everyday workflows, providing a unique combination of AI-powered support via VSCode IDE extensions, browser-based applications, and a flexible SaaS platform. As we revolutionize development tools through AI, our product is utilized by hundreds of companies globally and is backed by a vibrant community of thousands of data professionals.Our TeamWe are a team of Silicon Valley veterans who have previously developed category-defining data and AI products cherished by numerous companies worldwide. Having closely experienced the transition from a small startup to an IPO, we are embarking on a similar journey once again, supported by distinguished advisors and venture capital firms with extensive portfolios.What We SeekWe are in search of a Machine Learning Engineer who is passionate about innovation and adept at solving complex problems that go beyond traditional coding. Ideal candidates will have a deep understanding of machine learning algorithms, data structures, and modeling techniques, along with a drive to design and enhance the core of our AI-driven solutions.
Who We AreEma is pioneering a revolutionary AI technology aimed at empowering every employee within the enterprise to unlock their full potential in creativity and productivity. Our proprietary technology enables companies to automate repetitive tasks, allowing their workforce to focus on more impactful work. Founded by former executives from Google, Coinbase, and Okta, as well as seasoned entrepreneurs, we have attracted investment from prominent backers including Accel Partners, Naspers, Section32, and renowned Silicon Valley Angels like Sheryl Sandberg, Divesh Makan, Jerry Yang, Dustin Moskovitz, David Baszucki, and Gokul Rajaram.Our team is a powerhouse of exceptional talent, featuring engineers from top tech giants like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. Our members hail from prestigious institutions such as Stanford, MIT, UC Berkeley, CMU, and the Indian Institute of Technology. With robust funding from elite investors and angel backers, Ema operates from Silicon Valley and Bengaluru, India. This position offers a hybrid work model, requiring employees to work from the office three days a week.Who You AreWe seek innovative and passionate Machine Learning Engineers eager to join our dynamic team. You thrive on solving complex challenges, relish working with substantial datasets, and excel at transforming theoretical concepts into scalable practical solutions. As a collaborative team player, you also flourish in independent environments where your ideas can drive significant change. You are excited about leveraging machine learning techniques to explore the frontiers of Natural Language Processing, Information Retrieval, and related technologies. Most importantly, you are enthusiastic about contributing to a mission-driven, high-growth startup poised to make a lasting impact.Your ResponsibilitiesConceptualize, develop, and deploy machine learning models that serve as the backbone of our NLP, retrieval, ranking, reasoning, dialogue, and code-generation systems.Implement cutting-edge machine learning algorithms, including Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems, to enhance the performance of our AI solutions.Lead the processing and analysis of large, complex datasets (structured, semi-structured, and unstructured) and utilize insights to refine our model development.Engage across the complete lifecycle of ML model development — from problem definition and data exploration to feature engineering and model evaluation.
Join our dynamic team at Earnin as a Senior Machine Learning Engineer, where you will leverage your expertise to develop innovative machine learning solutions that empower our users. You will play a crucial role in transforming data into actionable insights, enhancing our platform's capabilities, and driving business growth.
Join Continental as an IT Engineer specializing in Machine Learning, where you will leverage cutting-edge technologies to enhance our innovative solutions. As part of our dynamic team in Bengaluru, you will work on developing and implementing machine learning models, contributing to projects that have a significant impact on the automotive industry.
Join our dynamic team at Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.
Join Tekion as a Senior Machine Learning Engineer, where you'll be at the forefront of innovation in the automotive industry. Your expertise will contribute to developing cutting-edge machine learning solutions that enhance our platform's functionality and performance. Collaborate with cross-functional teams to design and implement scalable algorithms, transforming complex data into actionable insights.
Roles & Responsibilities:Deliver engaging classroom instruction in foundational subjects of Digital Marketing and Management.Facilitate programs such as BBA in Digital Marketing and related curricula.Develop and enhance curriculum content for various courses.Conduct workshops and master classes on Digital Marketing and associated topics.Mentor students for internships and job placements, providing guidance and support.Ensure compliance with partnered university examination and evaluation standards.Offer personal support to students for project feedback and doubt resolution.Maintain accurate class records and relevant academic data.Assess students' final submissions and evaluate their performance in accordance with university standards.Collaborate with the Academic Head and Dean of the partnered university.
Join Ema as a Principal Machine Learning EngineerEma is pioneering the future of AI technology, enabling every employee within enterprises to unlock their full creative and productive potential. Our cutting-edge platform allows businesses to assign repetitive tasks to Ema, the Universal AI Employee—a robust, secure, and intelligent collaborator that seamlessly integrates across various workflows and systems.Founded by seasoned professionals from Google, Coinbase, and Okta, and supported by prominent investors and angels, Ema is headquartered in Silicon Valley and Bangalore. We operate as a hybrid team, and we expect our team members to work from the office three days a week.Role Overview & Key ResponsibilitiesThis leadership role is pivotal and encompasses architecture, execution, and organizational development, driving the direction of our AI and ML initiatives at Ema. We are in search of a technical leader in AI and ML who can translate vision into reality. As a Principal ML Engineer, you will be instrumental in shaping the machine learning roadmap, designing large-scale ML systems, fostering innovation, and ensuring the accuracy and performance of our diverse models (including LLM, SLM, and Custom Models) at scale. You will work collaboratively across teams—ranging from research and product to infrastructure and data—while mentoring senior engineers and influencing strategic and executional decisions at the company-wide level.ResponsibilitiesGuide the technical strategy for GenAI and agentic ML systems that support enterprise-grade AI agents, covering reasoning, retrieval, tool utilization, and integration with various SaaS products.Design and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation, ensuring robustness, low latency, and continuous learning.Develop and manage a multi-year ML roadmap for GenAI infrastructure, including agent frameworks, RAG systems, evaluation loops, and integration with MCP, browser, and vision pipelines.Incorporate cutting-edge ML methodologies and research (such as deep learning, large models, recommender systems, and LLMs) into Ema’s products and infrastructure.Experiment with and integrate advanced ML and LLM innovations (e.g., reasoning, memory architectures, multi-modal perception, long-context models, and autonomous agents) into the platform.Balance trade-offs among accuracy, latency, cost, interpretability, and real-world reliability throughout the agent lifecycle, from prompt design to orchestration and execution.
Oct 6, 2025
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