Senior Data Engineer at Cognite | Bengaluru, India

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.

Cognite is at the cutting edge of industrial digitalization, creating innovative AI and data solutions that tackle some of the most challenging and impactful issues globally. With an unparalleled industrial legacy and a robust array of AI tools, including low-code AI agents, Cognite is driving digital transformation to enhance operational efficiency.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally changing the landscape of global industry.

About Cognite Cognite specializes in industrial digitalization and AI, developing data solutions that address complex industry challenges. The team combines deep industrial experience with a suite of AI tools, including accessible low-code AI agents, to speed up digital transformation and drive operational improvements. The company values curiosity and welcomes those who see obstacles as chances to move forward. Cognite’s goal is to create significant impact across industries, aiming to unlock $100 billion in customer value by 2035. Learn more about their vision in the Moonshot initiative. The Bengaluru, India office is part of this global effort, where AI, data, and creativity come together to shape a smarter, more connected industrial future.

Cognite focuses on industrial digitalization, using advanced AI and data solutions to address complex challenges worldwide. The company’s expertise spans a wide range of AI tools, including low-code AI agents, supporting businesses as they modernize operations and accelerate digital transformation. The team values curiosity, adaptability, and a mindset that sees obstacles as opportunities for growth. People who enjoy questioning the status quo and learning from challenges tend to thrive here. Cognite’s long-term vision is to unlock $100 billion in customer value by 2035. Learn more about this goal and how the company aims to reshape the industrial sector by combining AI, data, and innovation to create a smarter, more connected future.

Cognite stands at the cutting edge of industrial digitalization, developing innovative AI and data solutions that address some of the most challenging and impactful problems globally. With our exceptional industrial background and a robust range of AI capabilities, including low-code AI agents, Cognite is propelling digital transformation to facilitate significant operational enhancements.Our ambitious goal is to unlock $100 billion in customer value by 2035, fundamentally transforming the way industries operate worldwide.

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.

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.

Cognite is a leader in the realm of industrial digitalization, dedicated to creating cutting-edge AI and data solutions designed to tackle some of the most formidable and impactful challenges globally. Drawing on our unparalleled industrial expertise and a robust array of AI capabilities, including low-code AI agents, Cognite is committed to accelerating digital transformation for enhanced operational efficiencies.Our ambitious moonshot aims to unlock $100 billion in customer value by 2035 and revolutionize the way global industries operate.

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!

IntroductionAbout UsFounded in 2013, Mercari is a leading C2C marketplace based in Japan, driven by our mission to "Create value in a global marketplace where anyone can buy & sell." Since our inception, we have evolved into a prominent global player, achieving remarkable milestones such as being the first Japanese tech unicorn before our IPO in 2018. Our journey continues as we strive to expand our presence and services worldwide.Over the years, the Mercari Group has continually invested in our people and technology, transitioning from Japan's top C2C marketplace to new markets like the U.S. We have also introduced innovative services like Merpay, a mobile payment platform aimed at fostering a society where everyone can achieve their dreams through a comprehensive ecosystem, encompassing payment services and credit facilitation. Today, the Mercari Group encompasses various subsidiary businesses, including logistics, B2C platforms, blockchain, and sports team management.As we aim to enhance our services for a global audience, we recognize the need for top-tier talent. This is the motivation behind launching our India Center of Excellence. Together, we can rise to international challenges and pave the way for Mercari to become a successful global tech enterprise.Our CultureAt Mercari, our organizational culture and each employee's values guide our mission. Our core principles are encapsulated in four key values: Go Bold, All for One, Be a Pro, and Move Fast. Our foundational pillars include Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of our growth, maintaining our culture is vital to our mission. We invite you to explore the Mercari Culture Document, which outlines the behaviors and mindset that define Mercari and its employees. We are committed to fostering an environment where members from diverse backgrounds are embraced and acknowledged, allowing them to flourish while upholding Mercari's culture.Work ResponsibilitiesAs a Machine Learning Engineer specializing in the Recommendation domain, you will be responsible for developing and enhancing the functions and services of the Mercari marketplace app by building and maintaining advanced machine learning systems such as recommender systems, utilizing the necessary infrastructure and collaborative efforts within the company.

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.

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 Our TeamAt Mercari, we are on a mission to revolutionize the global marketplace by enabling everyone to buy and sell with ease. As a leading C2C marketplace company founded in Japan in 2013, we have evolved into a noteworthy player in the tech industry, becoming Japan's first tech unicorn prior to our IPO in 2018. We are dedicated to our ongoing transformation and global expansion.Our growth has been fueled by continuous investment in our people and technology, allowing us to branch out from Japan into the U.S. market. We have also successfully introduced innovative services such as Merpay, a mobile payment platform designed to empower users to achieve their dreams through a comprehensive ecosystem that transcends traditional payment services.As we strive to broaden our global reach, we recognize the importance of attracting top-tier talent, which is why we have established the India Center of Excellence. Your contributions will be pivotal in shaping our future as a successful global technology enterprise.Our ValuesAt Mercari, our culture is built on shared values that guide our actions and decisions. We embrace the principles of Go Bold, All for One, Be a Pro, and Move Fast. Our foundational pillars—Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance—are integral to our mission. We encourage you to explore our Mercari Culture Doc to understand the mindset shared by our team.Key ResponsibilitiesDesign, develop, and maintain advanced machine learning systems, particularly in the Recommendation domain, to enhance the functionality of the Mercari marketplace application.Collaborate with cross-functional teams to ensure the integration of machine learning capabilities within our platforms.Continuously optimize and refine algorithms to improve user experience and engagement.

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.

About EarnInEarnIn is a trailblazer in the earned wage access space, dedicated to creating innovative financial solutions that provide real-time flexibility for individuals navigating the challenges of living paycheck to paycheck. Our platform empowers users to access their hard-earned wages as they earn them, enabling them to manage their finances with ease—without hidden fees, interest rates, or credit checks.We take pride in our robust leadership team and our partnerships with top-tier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital. Our sound business model ensures a strong foundation for growth, making us an exciting place for talented individuals to contribute to our journey as we expand.POSITION SUMMARYAs a pivotal member of our team, the Head of Machine Learning in India will oversee the critical machine learning systems integrated into our fintech platform. These systems are essential for enhancing business decisions and enriching customer experiences across various domains—risk management, fraud detection, growth strategies, personalization, and operational efficiency. The successful candidate will ensure the reliability, performance, and scalability of these systems, translating cutting-edge research into high-performance production solutions. This position requires extensive experience in deploying machine learning at scale, a knack for thriving in dynamic environments, and a balance of theoretical knowledge with strong engineering instincts.As EarnIn continues to expand its footprint in India, you will lead a high-performing machine learning team with significant potential for growth. In your capacity as the senior ML leader on-site, you may also assume site leadership responsibilities, working closely with HR and Talent Acquisition to foster a positive culture and enhance team engagement. This role will operate on a hybrid basis from our Bengaluru office, with at least two days in the office per week. EarnIn offers competitive employee benefits, including healthcare coverage, reimbursement for internet and cell phone expenses, a learning and development stipend, and opportunities for collaboration and travel to our headquarters in Mountain View and our office in Bangkok. Our salary ranges are determined by role, level, and location.

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.