Job Title: Data Architect – Snowflake/Databricks Company: Systango Technologies Ltd Job Category: Machine Learning Roles & Responsibilities: Systango is a technology company listed on the NSE, delivering innovative digital solutions across Generative AI, AI/ML, Data Engineering, Analytics, Blockchain/Web3, Cloud, and FinTech. We partner with global clients to build scalable, secure, and high\-performance technology solutions.Role Overview ----------------- We are looking for an experienced Data Architect with strong expertise in Snowflake/Databricks to design and lead the implementation of scalable, cloud\-native data platforms. The ideal candidate will combine deep technical expertise in modern data architecture with hands\-on experience in data engineering, cloud ecosystems, data governance, and enterprise data strategy. You will work closely with engineering teams, business stakeholders, and client\-facing teams to translate business requirements into robust data architectures that support analytics, reporting, and AI/ML use cases.Key Responsibilities ------------------------ * Data Architecture: Define end\-to\-end data architecture, including data lakes, lakehouses, modern data warehouses, data marts, and enterprise data platforms. * Snowflake \& Databricks: Design and optimize data solutions using Snowflake OR Databricks, selecting appropriate architectural patterns based on business and technical requirements. * Data Engineering: Architect scalable batch and streaming pipelines, ETL/ELT workflows with medallion architecture, data transformations using dbt, and orchestration frameworks. * Cloud Platforms: Design data solutions on AWS, Azure, or GCP, integrating cloud storage, compute, security, and networking services. * Data Modelling: Define conceptual, logical, and physical data models, including dimensional modelling, Data Vault 2\.0, and normalized data structures. * Performance \& Cost Optimization: Optimize query performance, compute utilization, storage, workload management, and overall platform costs. * Data Governance \& Security: Establish standards for data quality, lineage, metadata management, access control, encryption, privacy, and regulatory compliance. * Architecture Standards: Define reusable architecture patterns, engineering best practices, coding standards, CI/CD processes, and data platform design principles. * Technical Leadership: Mentor data engineers and technical leads, conduct architecture reviews, and guide teams through complex technical decisions. * Stakeholder Collaboration: Work with product owners, business stakeholders, and clients to understand requirements and communicate architectural decisions effectively. * AI \& Analytics Enablement: Build data foundations that support BI, advanced analytics, machine learning, and Generative AI applications, including RAG and vector search use cases where applicable. Work Location: Madhya Pradesh, India Availability: Full time
Job Title: Sr MTS 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 Sr MTS Machine Learning Engineer, you will serve as a senior technical leader for high\-impact ML initiatives. You will help set direction, define engineering approaches, guide experimentation, and work hands\-on with researchers and engineers to bring ML systems into production. The candidate will work closely with leaders and other teams from our globally distributed Ads organization, including product managers, design, and analytics leaders to brainstorm and enable future personalized e\-commerce shopping experiences. This is a shared technical lead role across Ads teams and will support the needs of Recommendations Ads, Search Ads, and Ads Guidance. What You Will Accomplish * Provide technical leadership to a team of engineers for ML initiatives across Ads and marketplace discovery * Champion software engineering best practices, including code reviews, testing, and documentation, within the machine learning team * Design, build, and operate scalable backend and ML systems supporting sponsored experiences, ranking, retrieval, and personalization * Collaborate closely with Applied Researchers to translate novel algorithms and research prototypes into hardened, production\-ready code * Mentor other team members through code reviews, technical guidance, architecture design, and pair programming * Drive measurable customer and business impact through disciplined A/B testing and iteration Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Engineer Sr Lead, Artificial Intelligence / Machine Learning Company: FIS Global Job Category: Machine Learning Roles & Responsibilities: About the role As an Artificial Intelligence and Machine Learning Engineer, you will design and build generative artificial intelligence and agent\-based solutions used across the organization. You will develop applications powered by large language models, create automated workflows, connect artificial intelligence systems with enterprise platforms, and evaluate solutions for accuracy, reliability and safety. Your key responsibilities * Design and build generative artificial intelligence applications using open and proprietary large language models. * Develop agent\-based systems that use planning, memory, tools and orchestration to complete complex tasks. * Create multi\-agent, human\-in\-the\-loop and autonomous workflows. * Integrate artificial intelligence solutions with enterprise platforms, application programming interfaces and business workflows. * Evaluate and improve model and system performance, including accuracy, grounding, reliability and safety. Bring your ideas. Build your future. At FIS, you'll find the support, resources and opportunities to develop your career while helping shape the future of financial technology. * Internal career growth opportunities * Opportunities to innovate in fintech * Inclusive and diverse team atmosphere * Professional and personal development * Resources to contribute to your community Work Location: Pune, India Availability: Full time
Job Title: Computer Vision Engineer Company: eternal.ag Job Category: Machine Learning Roles & Responsibilities: About the Role ------------------ * Maintain and improve our perception pipeline, including detecting ripe tomatoes among dense foliage, estimating cut points on stems with sub\-centimeter accuracy, and adapting to new crop types as we expand. * Build and maintain data and model lifecycle infrastructure, from data collection and annotation to model monitoring, drift detection, and retraining across our growing robot fleet. * Create real\-time perception pipelines that process 2D/3D sensor data for robotic decision\-making with sub\-centimeter accuracy. * Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency. * Build tools for debugging, analysis, and performance evaluation of your algorithms. Root\-cause failures when things break in production. * Collaborate cross\-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end\-to\-end perception solutions. * You own your projects from prototype to production. We expect production\-quality software engineering, not just notebook experiments. We don't have separate research and engineering teams Rapid Innovation: Our software\-first approach means you'll see your models deployed to real robots in hours/days, not months. We've proven we can develop and deploy new perception capabilities over\-the\-air as crops evolve. Flexible Work Culture: Distributed team with offices in Cologne and Bengaluru, following a "follow\-the\-sun" support model for our 24/7 operations. eternal.ag* is building fully automated food production sites that can sustainably produce fresh food year\-round. Backed by world\-class investors and partnering with leading agricultural companies, we're turning the vision of fully\-autonomous greenhouses into reality. Work Location: Bengaluru, India Availability: Full time
Job Title: AI/ML Engineer (f/m/x) Company: Groupe SII Job Category: Machine Learning Roles & Responsibilities: * Regular * Hybrydowa, * Stacjonarna * Bangalore Technologie i narzędzia --------------------------- Wymagane Generatywna sztuczna inteligencja Python RAG Mile widziane AWS Poszukujemy Backend GenAI Engineerów, którzy pomogą w budowie i skalowaniu rozwiązań AI klasy enterprise. W tej roli będziesz odpowiedzialny za projektowanie i rozwój podstawowej architektury, która napędza nasze inicjatywy AI, w tym ramy wchłaniania, usługi integracyjne, projektowanie schematów, przepływy transformacji i skalowalne komponenty platformy. Odegrasz kluczową rolę w umożliwieniu rozwoju, wdrażania i optymalizacji zaawansowanych aplikacji AI/ML i Generative AI w całej organizacji. To jest możliwość pracy hybrydowej, z oczekiwaniem 3 dni w tygodniu w biurze w Bangalore. Preferowani są kandydaci gotowi do natychmiastowego rozpoczęcia pracy z uwagi na krytyczność projektu. Twoje zadania ----------------- * Tworzenie inteligentnych przepływów pracy Agentic AI przy użyciu LangGraph i LangChain w celu rozwiązania złożonych wyzwań biznesowych * Projektowanie skalowalnych architektur wieloagentowych z zaawansowanym routowaniem, pamięcią i możliwościami punktów kontrolnych * Budowanie rozwiązań RAG end\-to\-end, które dostarczają dokładne, kontekstowe i wykonalne odpowiedzi AI * Integracja AWS Bedrock, AgentCore i usług przedsiębiorstw w celu zasilania aplikacji AI gotowych do produkcji * Opracowywanie rozwiązań naturalnego języka do SQL, które przekształcają zapytania użytkowników w znaczące spostrzeżenia biznesowe * Wykorzystanie baz danych wektorowych, takich jak Pinecone, ChromaDB lub FAISS, w celu umożliwienia efektywnego wyszukiwania semantycznego i pobierania danych * Rozwój aplikacji Python o wysokiej wydajności przy użyciu FastAPI, Pydantic i nowoczesnych praktyk inżynieryjnych * Optymalizacja rozwiązań Generative AI w oparciu o modele OpenAI, Claude, Gemini i Llama w celu maksymalizacji wydajności i niezawodności Wymagania ------------- * Minimum 4\-letnie doświadczenie w rozwoju AI/ML, z silnym naciskiem na rozwiązania Generative AI * Silne doświadczenie w zakresie Generative AI i LLM, w tym OpenAI, Claude, Gemini i Llama * Praktyczna wiedza w zakresie LangGraph i LangChain, w tym orkiestracja agentów, zarządzanie pamięcią i integracja narzędzi * Udokumentowane doświadczenie z AWS Bedrock i AWS AgentCore w zakresie opracowywania i wdrażania rozwiązań AI dla przedsiębiorstw * Silna znajomość Pythona, w tym FastAPI, Pydantic i programowania asynchronicznego dla aplikacji produkcyjnych * Doświadczenie w budowaniu pipeline'ów RAG end\-to\-end oraz pracy z bazami danych wektorowymi, takimi jak Pinecone, ChromaDB, FAISS lub OpenSearch * Silna wiedza na temat SQL, NL\-do\-SQL i wzorców dostępu do danych wspomaganych AI; doświadczenie w Snowflake jest dodatkowym atutem * Doskonałe umiejętności komunikacyjne z biegłą znajomością języka angielskiego (minimum poziom B2\) Mile widziane ----------------- * Doświadczenie z AWS AgentCore, w tym Runtime, Memory i Tools Gateway * Znajomość MCP (Model Context Protocol) i frameworków komunikacji Agent\-to\-Agent (A2A) Nr oferty JOB\-XUYXM Sii zapewnia, że wszystkie decyzje związane z zatrudnieniem są podejmowane wyłącznie na podstawie kwalifikacji i kompetencji. Zobowiązujemy się do równego traktowania wszystkich osób, niezależnie od cech chronionych, oraz promowania zróżnicowanego i integracyjnego środowiska pracy. Benefity dla Ciebie ----------------------- Zróżnicowane portfolio klientów Szeroki wachlarz technologii Stabilne zatrudnienie Możliwość pracy zdalnej Kontrakty z globalnymi markami Great Place to Work w Europie Wielu ekspertów, od których możesz się uczyć Otwarty i dostępny zarząd Work Location: Karnataka, India Availability: Full time
Job Title: Deals Advisory - AI Engineer (Topic Research) - Senior Associate Company: PwC Acceleration Center India Job Category: Machine Learning Roles & Responsibilities: As a Deals Advisory \- AI Engineer \- Senior Associate, you will join our AI Research team, serving as a pivotal member in exploring AI technologies and methodologies relevant to both our business and clients. Within our Deals practice, you will engage in a collaborative environment that values curiosity and practical problem\-solving, focusing on translating AI developments into impactful insights for the firm and our clients. As a Senior Associate, you will leverage your skills to analyze complex problems, mentor junior team members, and maintain professional standards. You will build meaningful client connections and develop a deeper understanding of the business context, navigating complexity and embracing ambiguity to deliver quality work. Responsibilities * Conducting rapid experiments to evaluate emerging AI tools, models, and techniques * Designing clear hypotheses, success metrics, and evaluation criteria for AI experiments * Documenting experiment outcomes, key learnings, and limitations for internal stakeholders and clients * Producing client\-ready insights and supporting technical demos and deep dive sessions * Monitoring, evaluating, and experimenting with emerging AI technologies and trends * Utilizing Python to write maintainable code following best practices * Building agents using frameworks like LangGraph, AutoGen, and CrewAI * Deploying machine learning workloads to cloud platforms such as Azure, AWS, or GCP * Implementing automated testing pipelines for model performance * Applying knowledge of model optimization techniques, including quantization and distillation * Leveraging experience with large language models and APIs for platforms like Azure and OpenAI * Collaborating with the AI Research team to translate AI developments into impactful thought leadership Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Principal Solutions Architect Company: Northern Trust Corp. Job Category: Machine Learning Roles & Responsibilities: As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Role Summary We are seeking a Principal Solutions Architect \- Data to provide architectural leadership across enterprise data, reporting, and analytics initiatives. The role will define scalable solutions across data platforms, integration services, semantic models, and business intelligence while ensuring security, governance, performance, and operational readiness. Key Responsibilities * Own end\-to\-end solution and data architecture, including target\-state designs, conceptual and logical data models, integration patterns, data flows, security controls, lineage, and technology standards. * Partner with enterprise architects and governance teams to guide solutions through Permit to Design, Permit to Build, and Permit to Operate, ensuring design, security, risk, infrastructure, support, and operational\-readiness requirements are addressed. * Define scalable engineering and integration patterns across Snowflake, cloud platforms, APIs, batch processing, and event\-driven services, balancing resilience, performance, security, and cost. * Own reporting and analytics architecture, including Performance Reporting, Client Reporting, Power BI, and semantic models. Establish standards for Import, DirectQuery, hybrid models, aggregation, incremental refresh, caching, and query optimization. * Lead resolution of complex performance issues across source systems, data platforms, transformations, calculation layers, semantic models, and Power BI. * Define measurable non\-functional requirements for performance, scalability, availability, resilience, data freshness, observability, security, supportability, and cost. * Establish reusable patterns for data modeling, metadata, lineage, data quality, auditability, governance, and access control to reduce technical debt. * Provide architectural leadership across client, account, product, legal agreement, performance, benchmark, reference, and other strategic data domains. * Act as a senior design authority by reviewing solutions, challenging technical choices, identifying risks and dependencies, mentoring teams, and communicating decisions to business and technology stakeholders. * Maintain concise architecture deliverables, including diagrams, data models, integration flows, architecture decisions, deployment views, and operational\-readiness documentation. * Data \& Analytics: Snowflake, advanced SQL, Power BI, semantic modeling, DAX, ETL/ELT, data warehousing, data modeling, performance optimization, metadata, lineage, and data quality. * Cloud \& Integration: Microsoft Azure, cloud\-native architecture, REST APIs, microservices, batch and event\-driven integration, security, Key Vault/secrets management, observability, and resiliency patterns. * Application Engineering: Python, FastAPI or similar service frameworks, React, TypeScript/JavaScript, and modern application architecture patterns. * Architecture \& Governance: Solution and data architecture, architecture lifecycle governance including Permit to Design, Permit to Build, and Permit to Operate, non\-functional requirements, security architecture, operational readiness, and architecture decision records. * Engineering Practices: CI/CD, DevSecOps, source control, automated testing, infrastructure\-as\-code concepts, production supportability, and performance monitoring. * Leadership: Architecture reviews, design authority, technical roadmaps, mentoring, stakeholder communication, and collaboration across engineering, security, infrastructure, data governance, and enterprise architecture teams. * Investment management, asset management, financial services, or another highly governed data environment. * Performance and client reporting, benchmark and reference data, account and client hierarchies, and legal\-entity or agreement data. * Modernization of legacy reporting and analytics solutions, architecture governance, data catalogs, business glossaries, and regulatory reporting. * Applied knowledge of machine learning, artificial intelligence, and modern analytics within established security and governance standards. As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve. Work Location: Karnataka, India Availability: Full time
Job Title: Associate Research Scientist (AI/ML) Company: NielsenIQ Job Category: Machine Learning Roles & Responsibilities: Job Description We are looking for a passionate and skilled AI/ML Engineer to join our team, focusing on cutting\-edge solutions in GenAI, vector search, embeddings, and semantic similarity. In this role, you will design, develop, and optimize intelligent search systems that leverage state\-of\-the\-art machine learning and deep learning techniques. You will collaborate with cross\-functional teams to build scalable and efficient solutions that transform how we retrieve and process information. Responsibilities: NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state\-of\-the\-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100\+ markets, covering more than 90% of the world’s population. Work Location: Chennai, Tamil Nadu, India Availability: Full time
Job Title: Senior Researcher - Physical AI & Robot Learning Company: Fujitsu Job Category: Machine Learning Roles & Responsibilities: Job Description Senior Researcher \- Physical AI \& Robot Learning Job Location: Bangalore Location Flexibility: Primary Location Only Req Id: 13630 Posting Start Date: 10/28/26 Fujitsu’s R\&D vision is to create cutting\-edge technologies that support society and prioritize the flow of data. Our five key technologies are essential elements for collecting data from all parts of society, transporting it over ultra\-high\-speed and secure networks, analyzing it with trusted AI, converting it into value, and returning it to society. Central to realizing our strategy and vision are the people behind our R\&D initiatives. We strive to foster top\-notch talent in the innovation process by nurturing skilled individuals equipped to advance this cause with originality and dedication. About the Role ------------------ The successful candidate will shape novel research in robot learning and control , while connecting perception, task planning, world models, and action execution into dependable end\-to\-end robotic systems. The role is intended for researchers who can convert ambitious scientific ideas into reproducible, measurable, and deployable capabilities. * Broad familiarity across reinforcement learning, control, task planning, VLA models, and world models * Genuine research depth in at least two areas * Evidence of physical\-robot implementation is mandatory Key Responsibilities ======================== 1\. Research and Algorithm Development ------------------------------------------ * Conduct world\-class research in Physical AI, embodied intelligence, robot learning, planning, and autonomous decision\-making * Develop novel methods in: + Reinforcement learning + Imitation learning + Learning\-based control + Model\-based RL + Vision\-Language\-Action (VLA) models + World models + Long\-horizon task planning * Design agents that connect semantic reasoning and task planning with motion generation, control, and closed\-loop execution * Advance robustness, safety, generalization, adaptation, and data efficiency for robots operating under real\-world uncertainty * Train, evaluate, and deploy policies on physical robots . Simulation\-only experimentation is not sufficient for this role. * Address: + Sim\-to\-real transfer + System identification + Domain randomization + Online adaptation + Latency + Sensing uncertainty + Failure recovery * Design rigorous experiments, benchmarks, ablations, and evaluation protocols to measure task success, reliability, safety, and generalization * Produce reproducible research assets including well\-engineered code, experiment documentation, datasets, and robot demonstrations * Publish influential research at premier AI, computer vision, and robotics venues * Generate patents and contribute to technology transfer, open\-source software, datasets, and benchmark development, as appropriate * Mentor junior researchers and support research strategy * Communicate technical results clearly to expert and business stakeholders * Build collaborations with leading academic and industrial research groups * Completed PhD, or PhD expected before joining, in: + Robotics + Artificial Intelligence + Machine Learning + Computer Science + Electrical Engineering + Control + Mechanical Engineering + Or a closely related discipline * Proven publication record, including meaningful first\-author contributions at leading venues such as ICRA, IROS, RSS, CoRL, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, IEEE Transactions on Robotics, IEEE Robotics and Automation Letters, Science Robotics, Nature Machine Intelligence , or comparable venues * Ability to identify important research problems, formulate technically sound solutions, and evaluate them with scientific rigor * Demonstrated implementation and evaluation on physical robots , supported by publications, project pages, videos, open\-source code, datasets, competition results, or deployment outcomes * Hands\-on ability to diagnose the gap between algorithmic performance in simulation and behavior on real hardware * Simulation\-only experience is insufficient * High\-impact publications or research recognized by the robotics, AI, or computer vision community * Open\-source tools, datasets, or benchmarks adopted beyond the candidate's immediate research group * Leadership in major robotics projects or interdisciplinary teams * Patents, technology transfer, or successful deployment of learning\-based robotic systems * Clear evidence of translating research ideas into reliable physical\-robot capabilities Candidates should demonstrate research originality, technical depth, experimental rigor, and direct ownership of real\-robot work . Strong candidates should be able to explain their personal contribution, why the problem mattered, how their method advanced the state of the art, how it behaved on physical hardware, and what evidence supports robustness and generalization. * Curriculum vitae and complete publication list * Two or three representative papers, with a short statement explaining the candidate's contribution for collaborative work * Research statement of no more than two pages , including future research directions relevant to Physical AI * Links to robot demonstrations, project pages, open\-source repositories, code, or datasets * Optional: Brief portfolio summarizing real\-robot systems personally designed, implemented, or evaluated Relocation Supported: Yes Visa Sponsorship Approved: No Work Location: Karnataka, India Availability: Full time
Job Title: Data Scientist-Artificial Intelligence Company: IBM Job Category: Machine Learning Roles & Responsibilities: Introduction A career in IBM Consulting is built on long\-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long\-term career development while valuing your unique skills and experiences. Your Role And Responsibilities As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting\-edge technologies, with a strong focus on foundation models and large language models. Your Primary Responsibilities Will Include * Design AI Solutions: Architect and deliver AI solutions using cutting\-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer. * Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies. * Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models. * Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery. * Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI\-driven solutions. Work Location: Bengaluru, Karnataka, India Availability: Full time
