Job Title: Data and AI Engineer Company: Mercedes-Benz Group Job Category: Machine Learning Roles & Responsibilities: Gesellschaft:Mercedes-Benz Research and Development India Private Limited Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. We are seeking a motivated and curious AI Engineer with a strong interest in Generative AI (GenAI) and Data Science to join our Applied AI team. In this role, you will contribute to the development and deployment of cutting-edge AI solutions leveraging Large Language Models (LLMs) and other GenAI technologies. This is an excellent opportunity for early-career professionals to gain hands-on experience in applying AI to real-world challenges across business and technical domains. Key Responsibilities * Model Development & Experimentation + Work on training, fine-tuning, and evaluating generative AI models (LLMs, diffusion models, multimodal systems). + Experiment with prompt engineering, RAG (Retrieval-Augmented Generation), and agent-based architectures. + Benchmark model performance and optimize for accuracy, efficiency, and scalability. * Prototyping & Deployment + Build proof-of-concept applications showcasing GenAI capabilities for business use cases. + Support integration of GenAI models into enterprise workflows, APIs, or platforms. + Collaborate with MLOps engineers to ensure models are production-ready. * Research & Innovation + Stay updated with the latest advancements in GenAI, NLP, and multimodal AI. + Explore new architectures, frameworks, and evaluation methods. + Contribute to knowledge sharing within the team and broader organization. * Collaboration & Stakeholder Engagement + Work closely with cross-functional teams (product, engineering, business) to understand problem statements and co-create solutions. + Translate research findings into actionable insights for business applications. + Present results and demos to both technical and non-technical stakeholders. Key Responsibilities * Model Development & Experimentation + Work on training, fine-tuning, and evaluating generative AI models (LLMs, diffusion models, multimodal systems). + Experiment with prompt engineering, RAG (Retrieval-Augmented Generation), and agent-based architectures. + Benchmark model performance and optimize for accuracy, efficiency, and scalability. * Prototyping & Deployment + Build proof-of-concept applications showcasing GenAI capabilities for business use cases. + Support integration of GenAI models into enterprise workflows, APIs, or platforms. + Collaborate with MLOps engineers to ensure models are production-ready. * Research & Innovation + Stay updated with the latest advancements in GenAI, NLP, and multimodal AI. + Explore new architectures, frameworks, and evaluation methods. + Contribute to knowledge sharing within the team and broader organization. * Collaboration & Stakeholder Engagement Kontakt Mercedes-Benz Research and Development India Private Limited Work Location: KA, India Availability: Full time
Job Title: AI Solution Architect Company: GE Vernova Job Category: Machine Learning Roles & Responsibilities: This role for strategic AI Solution Architect bridging between control systems and artificial intelligence to lead the digital transformation in control system platforms. You will be responsible for designing and implementing the end-to-end architecture that allows AI and Machine Learning models to run securely and efficiently within Gas Power Controls environments to bridge the gap between traditional Operational Technology (OT) such as Mark VIe controllers and HMI platforms with modern AI frameworks. Ensure that our AI solutions are not only innovative but also hardened, compliant with global energy standards (NERC/CIP, IEC 62443), and seamlessly integrated into the lifecycle management. Job Description =================== Roles and Responsibilities: * Architectural Leadership: Lead the design, implementation, and validation of AI-ready platform lifecycle tools, scalability and deployment of predictive and generative AI models. * Infrastructure Design: Define complex network architectures and hardware/software configurations that support both on-prem edge computing and cloud-based AI workloads. * System Hardening: Make the system ready for Installation, configuration, patching, and hardening to ensure the highest levels of cybersecurity of assets. * Cross-Functional Collaboration: Interface with cross functional team including Principal Engineers, Product Line Managers to translate business needs into technical AI requirements, maintaining delivery plans using Agile methodologies. * Global Project Coordination: Drive and coordinate multiple AI-driven programs simultaneously across a global, cross-functional environment, ensuring alignment between manufacturing, sourcing, and suppliers. * Continuous Improvement: Implement Lean process methodologies to optimize the AI development lifecycle, from data ingestion at the controller level to model inference at the HMI. * Support & Deployment: Provide high-level technical support to field personnel during the deployment of AI-enhanced control systems and HMI platforms. Work Location: TS, India Availability: Full time
Job Title: Data Solutions Architect 3rd Company: Crowe Capability Center - India Job Category: Machine Learning Roles & Responsibilities: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: A career in our Business Intelligence practice, within Data and Analytics Technology services, will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. Leveraging a collection of organizational technology capabilities, including business intelligence, data management, and data assurance, we help our clients drive innovation, growth, and change within their organization using business intelligence. Specific responsibilities include but are not limited to: Crowe is looking for a Data Solutions Architect to be a leader on our team of problem solvers with extensive consulting and industry experience. The primary focus will be helping our clients solve complex business issues from strategy to execution. Specific responsibilities include but are not limited to: * The shift timings for this role is 5:00PM - 2:00AM IST (7:30AM - 4:30PM ET) * Serve as subject matter expert on Business Intelligence engineering platforms (Ex - Microsoft SQL Server, Azure Data platform, Snowflake, DBT) demonstrating platform capabilities and promoting application of toolset to address business needs and maximize the value realized from technology investment. * Oversee the design and deployment of data pipelines, analytics platforms, and reporting frameworks that improve transparency and support decision-making. * Utilize advanced analytics, machine learning, and statistical modeling techniques to detect anomalous activity and patterns in transaction data. * Ensure data quality and integrity through best practices in data management and governance. * Mentor and lead a team of data analysts and consultants, fostering a collaborative and innovative work environment. * Provide technical guidance and career development opportunities to junior team members, ensuring high levels of performance and professional growth. * Facilitate cross-functional collaboration among teams to integrate data-driven insights into broader business strategies. * Develop and implement frameworks that align with regulatory changes and help clients stay ahead of compliance requirements. * Work with legal and compliance teams to translate regulatory requirements into actionable data analytics strategies. * Contribute to proposals and presentations for potential clients, demonstrating expertise in data analytics and regulatory compliance. * Represent the organization at industry events and conferences as a subject matter expert in data consulting. * Drive internal innovation by identifying emerging technologies and methodologies that can improve service delivery. * Participate in presales engagements to manage the vision and expectations of a client’s multiple stakeholders and create a conceptual solution design involving effort estimation, technical and functional solution, execution methodology, project plan, and team. * Participate in the systems development process, including planning and monitoring systems development efforts, coordinating activities with other groups, reviewing deliverables and communicating status to the project manager and client. * Lead and provide technical guidance and mentorship to other team members. * Architect, implement, deploy, and support analytical databases and pipelines in an Azure environment * Create proofs of concepts as necessary for architectural vision, strategy, and tool evaluation. Key Stakeholders This Role Interacts With: * Senior BI Analyst * Data Product Manager * BI Architect / Senior Architect * Data Engineers * Analytics Developers (Power BI, Tableau) * C-Suite Executives (CEO, CFO, CIO, etc.) * Clients Operations Leads and Mid-Level Managers * Data Owners, Data Stewards * Enterprise Information Management and Data Governance Team We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role’s responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination. Work Location: TS, India Availability: Full time
Job Title: AI/ML Engineer Company: Kanerika Software Job Category: Machine Learning Roles & Responsibilities: Job Description ------------------- Role: Key Responsibilities: * Build agent-based features using LLMs and frameworks such as LangChain and LangGraph, including tool calling, orchestration and memory. * Develop AI asset discovery for models, agents, prompts and AI services across cloud and AI platforms. * Implement guardrail signals and enforcement, including PII detection and redaction, toxicity and content moderation, and prompt-injection and jailbreak detection. * Build RAG pipelines, prompt templates and evaluation harnesses. * Evaluate and benchmark models and guardrail classifiers for accuracy, latency and cost. * Take new AI features from prototype to production for new product initiatives. * Integrate AI services with backend microservices through well-defined APIs. * Add observability, logging and monitoring to AI components. * Work closely with the AI Architect on design and technical decisions. i. Open Door Policy: Encourages open communication and accessibility to management. iii. Flexible Working Hours: Allows employees to have flexibility in their work schedules. iii. Disability Insurance: Offers financial support in case of disability. i. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Work Location: TS, India Availability: Full time
Job Title: AI/ML Engineer Company: WITS INNOVATION LAB Job Category: Machine Learning Roles & Responsibilities: Practical exposure to NLP, computer vision, or predictive analytics projects. Demonstrated experience in implementing Al solutions using open-source or cloudframeworks.Key Responsibilities: 1.Develop, train, and optimize AI/ML models for various use cases such as textsummarizrtion, image matching, and speech recognition. 2.Implement feature engineering pipelines and data pre-processing modules. 7.Support integration of AI components into existing government applications.Technical Competencies: Work Location: In person Work Location: DL, India Availability: Full time
Job Title: Developer, Application Company: Flex Job Category: Machine Learning Roles & Responsibilities: Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add Developer in Chennai, India. * Utilize AI-enabled analytics capabilities, including intelligent insights, automated reporting, predictive analysis, and generative AI tools, to improve decision-making and business outcomes. * Develop a strong understanding of both business processes and technical solutions, demonstrating end-to-end analytical capabilities across functional and technology domains. Work Location: TN, India Availability: Full time
Job Title: Engineer - AI (Mining Automation) Company: WSP in India Job Category: Machine Learning Roles & Responsibilities: Job Description WSP is seeking an Engineer AI (Mining Automation) to join the GCC Specialist Mining Services team, supporting the delivery of digital and automation solutions for global mining projects. Reporting to the Mining Automation Team Leader, the successful candidate will develop and implement AI-enabled workflows that improve the way mining, asset, operational, geotechnical, and technical information is processed, connected, analysed, and used for engineering decision-making. The role combines mining-domain understanding with artificial intelligence, automation, data engineering, computer vision, knowledge extraction, and graph-based retrieval. The Engineer will collaborate with multidisciplinary teams across WSP to develop practical, scalable, traceable, and responsible solutions for mine planning, operations, tailings and water management, asset performance, risk management, and engineering delivery. Responsibilities AI and Mining Automation Development * Design, develop, and implement AI-enabled automation solutions for mining engineering and operational workflows. * Work with mining specialists to identify high-value automation opportunities and convert technical requirements into practical digital solutions. * Develop intelligent workflows that integrate geological, geotechnical, mine planning, operational, asset, * Support the use of generative AI, machine learning, computer vision, and agent-based approaches to improve engineering productivity and decision support. * Create reusable components and scalable solution patterns that can be applied across global mining projects. * Develop automated pipelines to extract information from mining reports, PDFs, scanned documents, drawings, tables, figures, inspection records, and monitoring outputs. * Apply OCR, layout understanding, multimodal models, and LLM-based techniques to identify entities, attributes, relationships, measurements, risks, and supporting evidence. * Implement validation, normalization, exception-handling, and quality-control logic to improve the accuracy and consistency of extracted information. * Maintain traceability between extracted outputs and the relevant source documents, pages, figures, tables, or evidence. * Develop, validate, and support deployment of machine learning solutions for predictive analytics, anomaly detection, classification, risk assessment, optimization, and asset insights. * Apply data science and statistical methods to identify patterns, trends, and actionable insights from engineering and operational data. * Evaluate model performance, limitations, and suitability for mining use cases, working with domain experts to confirm engineering relevance. * Contribute to proof-of-concept development and the transition of successful prototypes into maintainable production solutions. Knowledge Management and Graph-Based Intelligence * Support the design of structured knowledge models that connect mining assets, technical information, operational data, risks, controls, and engineering evidence. * Contribute to knowledge graph and semantic data solutions using RDF, OWL, SPARQL, or equivalent technologies where appropriate. * Develop graph-native and hybrid retrieval workflows, including GraphRAG approaches that combine structured graph context with AI models. * Enable natural-language access to connected mining knowledge for engineering assistants, analytics tools, and decision-support applications. * Support provenance, versioning, evidence linking, and auditability of AI-generated or graph-derived outputs. * Develop and integrate solutions using Azure AI services, Azure OpenAI, Azure Machine Learning, Azure AI * Build and maintain data pipelines, APIs, connectors, and services that integrate AI workflows with engineering platforms and enterprise data environments. * Contribute to deployment, monitoring, documentation, testing, and continuous improvement of production AI applications. * Support MLOps, prompt and model evaluation, access control, data security, and responsible AI practices. * Work as part of the GCC Specialist Mining Services team to support multidisciplinary mining assignments delivered across WSP's global business. * Collaborate with the Mining Automation Team Leader, mining engineers, geotechnical specialists, tailings practitioners, data scientists, software developers, and digital teams. development within the team. About Us WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. * Maximize collaboration. * Maintain product quality and cultural integrity. * Balance community, collaboration, opportunity, productivity, and efficiency. Apply today. NOTICE TO THIRD PARTY AGENCIES: WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service. Work Location: Noida, Uttar Pradesh, India Availability: Full time
Job Title: MTS-2 Machine Learning Engineer Company: eBay Job Category: Machine Learning Roles & Responsibilities: At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. About The Team And The Role Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose-driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay — a company you can be proud to be with. As a Machine Learning Engineer, you will help build the platforms, services, APIs, data pipelines, and MLOps capabilities that bring cutting edge AI models into production at eBay scale. You will engineer the data pipelines that feed our models, build the infrastructure to train and serve them, and develop the APIs that deliver personalized experiences to millions of users. You will work at the intersection of machine learning and software engineering, solving complex challenges in system design and the operationalization of the latest Generative AI technologies. You will partner closely with Applied Researchers, Product Managers, and cross-org Engineering teams to turn prototypes into robust, scalable, low-latency systems for millions of customers. * Design, build, and operate scalable backend and ML systems supporting sponsored experiences, ranking, retrieval, and personalization. * Develop and own the MLOps pipelines for continuous integration, continuous delivery (CI/CD), training, validation, and monitoring of all production-grade models. * Engineer robust data pipelines using big data technologies to process vast datasets for model training and feature engineering. * Implement and optimize both traditional ML models and state-of-the-art Generative AI models (including LLMs) for low-latency serving and high-throughput environments. * Collaborate closely with Applied Researchers to translate novel algorithms and research prototypes into hardened, production-ready code. * Champion software engineering best practices, including code reviews, testing, and documentation, within the machine learning team. * Monitor system performance, identify and resolve production issues, and continuously improve the reliability and efficiency of our ML services. * Mentor other team members through code reviews, technical guidance, architecture design, and pair programming. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Quantitative Researcher - Early Career (INDIA) Company: Trexquant Investment LP Job Category: Machine Learning Roles & Responsibilities: Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. As a member of the Alpha Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. As a member of the Strategy team, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data you train and validate comes from actual market trading Your Responsibilities{{:}} * Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals * Parse data sets to be used for future alpha(strategy) development * Investigate and implement state-of-the-art academic research in the field of quantitative finance * Collaborate with experienced and resourceful quantitative researchers to carry out experiments and test hypothesis using simulations Work Location: Gurugram, Haryana, India Availability: Full time
Job Title: Data Engineer Snowflake - Qatar Company: Capco SAP Module: SAP HCM Roles & Responsibilities: Please note we are looking to speak to individuals already based in the Doha as a first priority.* Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.* Data Engineer (Snowflake) Location: Doha | Practice Area: Data & Analytics | Type: Permanent Shape the future of data platforms by delivering modern, cloud-native engineering solutions that enable leading financial institutions to unlock the full value of their data. The Role Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to help our clients solve complex business and technology challenges. * Design, develop and optimise scalable data pipelines and cloud-native data platforms using Snowflake and modern data engineering technologies. * Build robust ELT/ETL solutions, integrating data from multiple enterprise sources while ensuring quality, security and governance. * Collaborate with business stakeholders, architects and cross-functional delivery teams to translate business requirements into technical solutions. * Optimise Snowflake performance, cost management and data modelling to deliver efficient, high-performing data platforms. * Support client engagements through technical leadership, solution design, mentoring team members and contributing to successful project delivery. Work Location: Doha, Qatar Availability: Full time
