Machine Learning Engineer at Consuma | Bengaluru

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.

Join us as a Founding Engineer specializing in Backend Systems at Consuma, where you will have the unique opportunity to design and scale high-throughput, distributed infrastructure that powers cutting-edge AI and data products on a large scale.

Role overview Consuma is looking for a Senior Backend Engineer to join as a founding team member in Bengaluru. This role centers on designing and scaling distributed infrastructure that powers AI and data products. The work involves building backend systems capable of handling high volumes of data and supporting advanced solutions. What you will do Create backend architecture for distributed, high-throughput systems Scale infrastructure to enable AI and data-driven product features Shape technical decisions and direction as part of the early engineering team Location This position is based in Bengaluru, Karnātaka, 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 Consuma as our inaugural Account Executive, where you will spearhead the entire sales cycle and drive enterprise sales across consumer-focused sectors. This pivotal role will involve developing a robust sales pipeline, conducting product demonstrations, negotiating contracts, and successfully closing deals with enterprise clients.About UsConsuma is a cutting-edge, AI-driven research platform designed to streamline the research process for brands and research teams. We empower our clients to transform a brief into a comprehensive report within minutes, simplifying and accelerating their research endeavors.Website: https://consuma.ai

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.

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.

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.

Nielsen Company is seeking a Lead Machine Learning Engineer to join the team in Bengaluru. This individual contributor role centers on building advanced machine learning solutions that shape products and services throughout the organization. Key responsibilities Design and deploy scalable machine learning models for practical use cases Collaborate with teams from different functions to embed machine learning into core offerings Use deep knowledge of machine learning to inform data-driven decisions Location This position is located in Bengaluru.

P-1408 Join the Applied AI team at Databricks to be a key player in pioneering AI/ML-driven products. Our customers are consistently generating a wealth of assets—such as tables, notebooks, dashboards, datarooms, pipelines, SQL queries, and ML models—on our platform, with some managing hundreds of millions of these assets. Efficiently locating these assets is a critical journey for our users, enabling them to complete their tasks effectively. As our Search product evolves, we are on the lookout for a Staff Engineer to spearhead improvements in our Search Quality. In 2025, our primary goals include enhancing search ranking, refining query understanding, developing robust evaluations, and broadening asset coverage to facilitate seamless search capabilities at scale.

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.

Join Us at WisdomAIAt WisdomAI, we are dedicated to democratizing access to data and insights for everyone. We believe that data has the potential to transform decision-making, and with the advent of Generative AI, we aim to revolutionize how employees uncover insights within their organizations. As we grow, now is an exciting time to join our team. We proudly serve multiple Fortune 100 companies and as one of the early members, you will have the opportunity to significantly influence our product and engineering roadmap.Your RoleWe are in search of talented ML/NLP engineers to become part of our dynamic team. Our focus lies in tackling fundamental challenges in areas such as LLM-based code generation, document understanding, context synthesis, and LLM-based agents. Our team comprises professionals with backgrounds from industry leaders like Glean, Apple, Rubrik, Google, and Meta.Key ResponsibilitiesDevelop workflows and agentic pipelines for complex analytical tasks.Create and implement evaluation frameworks for our query processing engine.Collaborate closely with customers and founders to shape the product and engineering roadmap.Contribute to cultivating a robust engineering culture and enhancing our tech stack.

About AiDASHAiDASH is a pioneering enterprise AI firm that specializes in providing vegetation risk intelligence for electric utilities. Utilizing our exclusive VegetationAI™ technology, we deliver a comprehensive remote grid inspection and monitoring platform that adopts a SatelliteFirst approach to identify and mitigate vegetation and other hazards impacting the grid. Our proactive strategy minimizes wildfire risks and reduces the effects of storms, enabling over 140 utilities to cut costs, enhance reliability, and lower liabilities across their infrastructure. AiDASH is dedicated to protecting critical utility systems and ensuring a sustainable future for humanity. Discover more at www.aidash.com.As a Series C growth company, we are supported by esteemed investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, and others. We are honored to be recognized by Forbes for two consecutive years as one of “America’s Best Startup Employers” and to feature in Time Magazine’s “America’s Top GreenTech Companies 2024.” Recently, Deloitte Technology Fast 500™ ranked us No. 12 among companies in the San Francisco Bay Area and No. 59 overall among their top 500 for 2024.Join us in Securing Tomorrow!The RoleWe are seeking a highly experienced Staff Machine Learning Engineer to define and expand the core of our production ML ecosystem. In this capacity, you will design high-performance ML systems that drive our geospatial intelligence platform, converting extensive satellite and aerial imagery into actionable insights. Your responsibilities will encompass complete ownership—from model deployment and MLOps to infrastructure design—while collaborating closely with data science, platform engineering, and product teams to deliver dependable, scalable, and cost-effective ML solutions. If you excel at the intersection of advanced technical knowledge, system architecture, and cross-functional teamwork, this opportunity is for you.How You'll Make an Impact:ML System Architecture & Production DeploymentDesign, build, and maintain end-to-end ML pipelines for batch processing...

Join Bazaarvoice as a Senior Machine Learning Engineer and help shape the future of smart shopping experiences. In this pivotal role, you will leverage your expertise in machine learning and artificial intelligence to design and implement innovative solutions that connect brands with consumers, enhancing their shopping journey. You will be part of a dynamic team focused on harnessing user-generated content to create impactful insights and drive business growth. Work in a collaborative environment where your contributions are valued, and take part in solving the challenge of establishing genuine connections between brands and consumers.

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.