AI/ML Architect

Join gsstech-group as a Technology Engineer specializing in AI/ML Platforms, MLOps, and GenAI infrastructure. In this pivotal role, you will be responsible for designing, building, and scaling cutting-edge AI systems. We are looking for a candidate who excels in containerized environments, model serving, and cloud-based AI architecture, with an emphasis on performance, scalability, and resilience.Key Responsibilities:Design, build, and maintain containerized applications leveraging technologies such as OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Deploy and optimize AI inference engines like Triton Inference Server and vLLM for high-performance model serving.Lead the end-to-end model lifecycle management, including deployment, monitoring, scaling, and retraining workflows.Implement comprehensive monitoring, logging, and alerting systems using Prometheus and Grafana.Collaborate on projects focused on GenAI and LLM-based solutions, particularly Agentic AI solutions.Develop and automate CI/CD pipelines with tools such as Jenkins, Groovy, Ansible, and Terraform.Create automation scripts and internal tools using Python.Architect and manage AI/ML solutions on AWS, utilizing services like SageMaker and Bedrock (preferred).Enhance AI platforms across on-premise and cloud environments.Ensure systems are highly scalable, fault-tolerant, and optimized for performance.Contribute to architecture design, platform roadmap, and strategic technical decisions.

Join our dynamic team at gsstech-group as a Senior Technology Engineer, where you will leverage your expertise in AI/ML platforms, MLOps, and scalable inference systems. In this pivotal role, you will be responsible for the design, deployment, and optimization of cutting-edge AI-driven solutions in both on-premises and cloud environments, with a particular emphasis on Generative AI and Large Language Model (LLM)-based applications.Key Responsibilities:Architect, develop, and sustain containerized applications utilizing OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Integrate and fine-tune AI inference engines like Triton Inference Server and vLLM for optimal model serving performance.Oversee the complete model lifecycle management from deployment to monitoring, scaling, and maintenance in production settings.Implement comprehensive monitoring and alerting frameworks with tools such as Prometheus and Grafana.Collaborate on groundbreaking Generative AI and LLM initiatives, including Agentic AI systems.Establish and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.Create automation tools and scripts with Python to enhance system efficiency and reliability.Design and administer AI/ML solutions on AWS Cloud, utilizing services like Amazon SageMaker and AWS Bedrock (preferred).Enhance AI platforms across hybrid environments (on-premise and cloud).Ensure systems are scalable, resilient, and high-performing.Contribute to architectural design decisions and shape the future roadmap of AI platform capabilities.

About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.

Nielsen Holdings plc is looking for an AI/ML Engineer II in Bengaluru. This position involves building and deploying advanced machine learning models to address real-world problems. The work centers on turning data into insights that drive decisions and solutions. Role overview This role focuses on contributing to the design, development, and implementation of machine learning systems. Projects often require collaboration with team members and stakeholders to ensure models are effective and aligned with business needs. Key responsibilities Develop and maintain machine learning models Deploy solutions that address practical challenges using data-driven approaches Work closely with colleagues to deliver reliable, scalable results Location This position is based in Bengaluru.

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.

About AlphaSense:AlphaSense is the trusted market intelligence platform used by leading companies to eliminate uncertainty in their decision-making. Our sophisticated AI-driven search technology extracts actionable insights from a vast array of reliable content, including equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary research from our clients.In 2024, AlphaSense's acquisition of Tegus enhances our commitment to empowering professionals with AI-driven market intelligence. Together, we are set to drive innovation and expand our content offerings, enabling users to glean deeper insights from an extensive range of resources. With over 6,000 enterprise customers, including a significant portion of the S&P 500, AlphaSense is headquartered in New York City and employs more than 2,000 people globally, with offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join our dynamic team!About the RoleWe are in search of a skilled engineering leader who will revolutionize how we design and operate AI systems at scale. You will collaborate with a team of exceptional engineers dedicated to building state-of-the-art AI applications, ensuring that our innovations operate flawlessly for our enterprise clientele.This is a remarkable opportunity for a seasoned engineer who excels in developing robust platforms, mentoring talented teams, and driving engineering excellence. You will have the autonomy to shape our technical architecture while engaging with cutting-edge AI models and systems that facilitate market intelligence for some of the world’s foremost companies.What You’ll DoArchitect for Scale: Create and implement distributed systems that facilitate AI agents handling thousands of requests per hour, ensuring reliability, performance, and cost-effectiveness.Build Engineering Excellence: Develop comprehensive testing strategies, observability systems, and CI/CD pipelines that preemptively identify issues before they affect customers.Lead Through Expertise: Guide a team of intelligent, motivated engineers, sharing your expertise in developing production systems that maintain high reliability.

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.

Join our dynamic team at DigitalOcean as a Senior Cloud Support Engineer, specializing in AI/ML and database technologies. In this impactful role, you will leverage your expertise to provide exceptional technical support, troubleshoot complex issues, and collaborate with cross-functional teams to enhance our cloud services. Your contributions will be pivotal in ensuring our clients achieve their goals using our innovative infrastructure and tools.

About AlphaSense: AlphaSense empowers the world's leading companies to eliminate uncertainty in decision-making. Our AI-driven market intelligence platform delivers critical insights from a trusted array of public and private content, including equity research, company filings, event transcripts, expert calls, and news. Our commitment to innovation was further strengthened by the acquisition of Tegus in 2024, enhancing our ability to provide unparalleled insights and accelerating our growth. With over 6,000 enterprise clients, including many from the S&P 500, AlphaSense, founded in 2011 and headquartered in New York City, employs more than 2,000 individuals worldwide across various offices including the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us in making a difference!About the RoleWe are in search of a seasoned engineering leader to redefine the construction and operation of AI-powered systems at scale. In this role, you will collaborate with a team of exceptional engineers who have developed state-of-the-art AI applications. Your goal will be to instill world-class engineering practices that ensure our innovations deliver consistent reliability for our enterprise customers.This position offers a unique opportunity for an experienced engineer passionate about building resilient platforms, mentoring talented teams, and fostering engineering excellence. You will have significant autonomy to influence our technical architecture while engaging with cutting-edge AI models and systems that drive market intelligence for the leading companies globally.What You Will DoArchitect for Scale: Design and deploy distributed systems that enable AI agents to handle thousands of requests per hour, ensuring optimal reliability, performance, and cost-effectiveness.Build Engineering Excellence: Develop thorough testing strategies, observability frameworks, and CI/CD pipelines that proactively identify issues before they reach customers.Lead Through Expertise: Guide a team of bright and motivated engineers, sharing your expertise in developing production systems that maintain high availability.

About AlphaSense: AlphaSense is the trusted partner for the world's most advanced companies, empowering them to eliminate uncertainty in their decision-making processes. Our AI-driven market intelligence platform delivers crucial insights from a wide array of reliable content, including equity research, corporate filings, event transcripts, expert calls, news articles, trade journals, and proprietary research. In 2024, AlphaSense's acquisition of Tegus further strengthens our commitment to helping professionals make informed decisions with enhanced AI-powered market intelligence. Together, we will drive growth and innovation, offering users the ability to discover deeper insights from extensive content repositories. Our platform is utilized by over 6,000 enterprise clients, including a significant portion of the S&P 500. Established in 2011, AlphaSense is headquartered in New York City, boasting a global team of more than 2,000 employees across offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us in our mission!About the RoleWe are looking for a skilled engineering leader who will revolutionize our approach to developing and managing large-scale AI-powered systems. You will be part of an elite team of engineers known for creating state-of-the-art AI applications, and your goal will be to implement world-class engineering practices that guarantee the reliability of these innovations for our enterprise clientele.This is an extraordinary opportunity for a seasoned engineer who excels in building resilient platforms, mentoring talented teams, and fostering engineering excellence. You will have substantial freedom to influence our technical architecture while collaborating with cutting-edge AI models and systems that drive market intelligence for leading global companies.

About UsMindtickle stands as the premier revenue productivity platform, adeptly merging on-the-job learning with deal execution to elevate revenue per representative. Acknowledged as a frontrunner by top industry analysts, we proudly hold the title of the #1 sales onboarding and training product according to G2. Additionally, we have been honored as a Leader in the inaugural Forrester Wave™: Revenue Enablement Platforms, Q3 2024!In the role of a Senior Software Development Engineer specializing in AI/ML, you will:- Transform business inquiries and requirements into actionable technical specifications, solutions, architectures, and implementations.- Define precise problem statements and technical requirements that align business objectives with AI research goals.- Spearhead the comprehensive design, prototyping, and implementation of AI systems, ensuring they achieve performance, scalability, and reliability benchmarks.- Design solutions for Generative AI and Large Language Model integrations, focusing on prompt engineering, context management, and agentic workflows.- Develop and uphold production-quality code with extensive test coverage and robust CI/CD pipelines utilizing AWS, Kubernetes, and cloud-native infrastructures.- Establish and manage post-deployment monitoring, performance testing, and alerting frameworks to guarantee adherence to performance and quality SLAs.- Conduct meticulous design and code reviews, uphold best practices, and champion technical excellence across the team.- Mentor junior engineers and interns, cultivating a culture of continuous learning and innovation.- Collaborate intimately with product management, QA, data engineering, DevOps, and customer-facing teams to deliver cohesive AI-driven product features.

Join our innovative team at gsstech-group as a Technology Engineer specializing in Kafka and streaming platforms. We seek a talented individual with extensive knowledge of cloud technologies and CI/CD practices. The successful candidate will be adept at developing and overseeing high-performance streaming platforms and cloud-native applications, showcasing a robust knowledge of event-driven architecture and contemporary DevOps methodologies.

Join Version 1 as an AI Platform Specialist and play a crucial role in developing and optimizing AI-driven solutions. You will work with cutting-edge technologies to enhance our platform's capabilities, ensuring seamless integration and deployment of AI solutions that drive business success.

Join the Bosch Group as an AI/ML Architect, where you will lead innovative projects that harness the power of artificial intelligence and machine learning. Your expertise will drive the development of cutting-edge solutions that enhance our product offerings and improve operational efficiency. Collaborate with diverse teams to design and implement AI strategies that align with business objectives and customer needs.

Join gsstech-group as a Senior Data Engineer within our dynamic Data Engineering chapter in the Technology Platform domain. We seek a talented individual with a robust background in real-time data streaming, contemporary data platforms, and the operationalization of AI/ML technologies (AIOps, MLOps, LLMOps).In this pivotal role, you will design, build, and optimize scalable data pipelines that empower advanced analytics and AI-driven solutions.

Job Title: Senior AI ML Data Engineer for ADAS Backend Development with AzureWe are seeking a skilled Python Lead with extensive experience in Azure Cloud to oversee data-in-the-loop operations, emphasizing data traceability and sequencing.Key Responsibilities:Prioritize project requirements in alignment with stakeholder expectations. Design, develop, and maintain high-quality Python code, with a primary focus on FastAPI for API development.Manage API deployment and operations on Azure Cloud, utilizing Docker and Kubernetes for effective containerization and orchestration.Implement Infrastructure as Code (IaC) using Terraform to ensure scalable and maintainable cloud infrastructure. Collaborate with cross-functional teams to define project requirements and architecture.Conduct thorough code reviews, offer technical guidance, and mentor team members to promote continuous improvement.Uphold best practices in software development, including rigorous testing, comprehensive documentation, and effective version control.Troubleshoot and resolve complex technical challenges to ensure system reliability and performance.

About AlphaSense: AlphaSense is the go-to platform for the world’s most advanced organizations, enabling them to eliminate uncertainty in decision-making. Our sophisticated market intelligence and search capabilities, powered by proven AI technology, provide critical insights derived from reliable content sources. This expansive universe encompasses public and private materials including equity research, company filings, event transcripts, expert calls, news, trade journals, and proprietary research content from our clients.In 2024, AlphaSense enhanced its mission by acquiring Tegus, jointly aiming to empower professionals with AI-driven market intelligence for informed decision-making. This strategic partnership is set to drive growth, innovation, and expansion of content, allowing users to extract even deeper insights from a multitude of data sources. Trusted by over 6,000 enterprise clients, including a significant number of S&P 500 companies, AlphaSense was founded in 2011 and is headquartered in New York City, with over 2,000 employees across various global locations including the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join our team!About the RoleWe are on the lookout for an accomplished engineering leader to revolutionize our approach to developing and managing AI-powered systems at scale. You’ll collaborate with a team of exceptional engineers who have created state-of-the-art AI applications. Your primary objective will be to implement world-class engineering practices that guarantee the reliability of these innovations for our enterprise clients.This role presents a unique chance for a seasoned engineer who enjoys building resilient platforms, mentoring skilled teams, and fostering engineering excellence. You will have considerable autonomy to design our technical architecture while engaging with cutting-edge AI models and autonomous systems that drive market intelligence for leading global enterprises.

About the RoleAs a Software Engineer focused on Platform and Data Infrastructure, you will be pivotal in designing and maintaining the foundational elements that drive Galileo’s platform. Your expertise will be vital in tackling complex systems challenges at scale, ensuring our infrastructure remains robust, efficient, and responsive. We are on the lookout for a skilled engineer who has hands-on experience in building large-scale real-time infrastructure, crafting services and APIs capable of processing millions of queries, and addressing the unique challenges posed by high-scale systems. Familiarity with optimizing high-volume traffic across SQL and NoSQL databases, time-series databases, and object stores is essential.What You'll Be DoingDesign and scale core infrastructure by creating and optimizing distributed systems and APIs that can manage millions of real-time queries while maintaining low latency and high reliability.Develop data-rich systems by working with SQL, NoSQL, time-series, and object storage solutions, ensuring that data pipelines and retrieval processes are optimized for maximum throughput and efficiency.Enhance performance at scale through profiling and tuning systems for latency, throughput, and cost, ensuring the platform grows in alignment with customer demand.Engage in the development of real-time serving systems by designing high-throughput caching layers and efficient data lookup services to provide swift, dependable access to extensive datasets.

Join our dynamic team at Endava as an AI/ML GCP Engineer. In this role, you will leverage your expertise in artificial intelligence and machine learning to design and implement innovative solutions on the Google Cloud Platform. You will collaborate with cross-functional teams to enhance our client delivery services and drive impactful projects that utilize cutting-edge technologies.