Job Title: Software Engineer (AI/ML/CV) Company: Brivo Job Category: Machine Learning Roles & Responsibilities: Description Summary In this role, you will take end\-to\-end ownership of converting complex problem statements into scalable, state\-of\-the\-art machine learning solutions. Working at the intersection of data engineering, research, and deployment, you will harness LLMs, VLMs, and Transformer architectures to build, optimize, and version high\-impact models alongside a collaborative team of ML engineers. Responsibilities * Handle all aspects of data filtering and agglomeration. * Collaborate with other ML Engineers to brainstorm on best practices, updates on SOTA models. * Handle all translation of problem requirements to choice of architecture, codebase, and datasets. Enhancements of in\-house/available open\-source repositories to meet problem requirements. * Work with data labeling teams to handle annotation metadata for your datasets. * Handle all aspects of the Machine Learning cycle including data preprocessing, augmentations, training, model and experiment versioning, ablation studies and benchmarking. As the unified global leaders in cloud\-based access control and video surveillance, we provide a comprehensive digital foundation for the built environment. By combining Brivo’s pioneering building access platform with Eagle Eye’s AI\-powered video management system (VMS), we have created a system of intelligence that protects over 600 million square feet across 90\+ countries. Every door, camera, and credential in our ecosystem acts as a real\-time sensor, leveraging AI to prevent incidents, improve operations, and enable entirely new workflows across sectors, including commercial real estate, retail, healthcare, education, and critical infrastructure. Work Location: Bengaluru, Karnataka, 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
Job Title: Intern - Data Scientist (Medical Imaging and Computer Vision) Company: nference Job Category: Machine Learning Roles & Responsibilities: We work closely with leading medical institutions like the Mayo Clinic to extract insights from medical data—such as radiology images, patient notes, and lab results. Our team consists of top\-tier talent from institutions like MIT, Harvard, IITs, IISc , and more, combining expertise in computer science, biomedical research, and clinical medicine. About The Role We are looking for a motivated Data Science Intern to join our Medical Imaging and Computer Vision team. This internship offers a unique opportunity to gain hands\-on experience developing AI models that solve real\-world healthcare challenges. Key Responsibilities Assist in developing and evaluating deep learning models for medical imaging (e.g., classification, segmentation, object detection). Support image preprocessing, annotation, and data handling workflows involving DICOM and clinical image formats. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Principal Machine Learning Engineer Company: Eli Lilly and Company Job Category: Machine Learning Roles & Responsibilities: At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life\-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. Role Overview We are looking for a Senior Principal Machine Learning Engineer to join the AI Engineering team, with a primary focus on Hands\-On Engineering (MLE) and MLOps \& Platform Reliability and GenAI \& Agentic Systems. This posting is at level R4 on our engineering ladder — see the level framing below for the expected scope of ownership and impact. Level framing: Recognized expert who mentors others; makes key technical decisions impacting multiple teams; leads resolution of highly complex challenges; cross\-functional influence; may engage with external partners as an authority. Core Responsibilities * Design and build production backend systems for agentic AI applications — API layers, backend\-for\-frontend (BFF) patterns, session/state management, and streaming for concurrent multi\-user workloads. * Lead resolution of highly complex, cross\-system technical challenges. * Set the technical bar for hands\-on engineering practice across the team. * Own GitOps and engineering\-governance standards across the team (version control, CI/CD, review, promotion). * Make key MLOps/platform decisions that affect multiple teams (e.g. deployment topology, observability strategy). * Drive triage and resolution of complex, cross\-system production incidents. * Own architecture for agentic AI systems, including routing, policy enforcement, and RAG/knowledge\-registry design. * Lead evaluation and adoption of new agent frameworks, LLMOps practices, and GenAI tooling across the team. * Implement authentication/authorization flows for agentic systems (OAuth/OIDC, on\-behalf\-of token exchange, secure credential storage). * Mentor other engineers on architecture, design patterns, and production engineering practices, and act as a role model for engineering rigor across the wider team. Key Tools \& Technologies * Cloud \& Data Infra: AWS (EC2/ECS, S3, Lambda, IAM, CloudWatch or equivalent); Databricks \& Unity Catalog * Foundational: Python; Git/GitHub; software engineering best practices; testing; SQL * MLOps \& Deployment: Docker, Kubernetes, Prefect; CI/CD (GitHub Actions); production monitoring; model versioning \& lineage; GitOps governance * GenAI \& Agentic Architecture: Claude or comparable LLMs; LangGraph or comparable agent frameworks; RAG architectures; vector databases (e.g. Pinecone); prompt engineering \& evaluation Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Applied AI Engineer ServiceNow - Lead Software Engineer I Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Lead Applied AI Engineer I \- ServiceNow Role Overview: As a ServiceNow Lead Applied AI Engineer II, you will actively engage in your engineering craft, taking a hands\-on approach to building and enhancing high\-visibility, full\-stack products that serve the business and its users. Your expertise will be pivotal in delighting customers and users, while driving tangible value across Deloitte’s product and AI investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across full\-stack software engineering and modern frameworks—together with applied AI fluency that lets you build GenAI and agentic capabilities directly into the products you deliver—consistently demonstrating your exemplary track record in delivering high\-quality, outcome\-focused solutions. The ideal candidate will be a role\-model leader and mentor, collaborating with cross\-functional teams to design, build, and ship products end to end, from concept through production. Key Responsibilities: \* Embrace and drive a culture of accountability for customer and business outcomes—and for the cost of achieving them. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high\-quality, lean designs and implementations, and owning the inference, token, and cloud cost of what you build. \* Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, low\-level architecture and component design, development, testing, integrations, and support. \* Maintain accountability for the integrity of architecture and technical stack to the enterprise standards and strategy. Manage dependencies, code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands\-on, self\-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high\-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. \* Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. \* Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning\-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. \* Possess deep expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations with all quality checks through SSDLC lifecycle. Be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. \* Quickly acquire domain\-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. \* Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well\-structured arguments and trade\-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. \* Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co\-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost\-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom\-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting\-edge internal and go\-to\-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive Work Location: Karnataka, India Availability: Full time
Job Title: Sr Engineer - AI COE Company: Tata Communications Job Category: Machine Learning Roles & Responsibilities: Role: ML Engineer Position Overview We are seeking a ML Engineer with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Agentic AI. The ideal candidate will possess 1\+ years of hands\-on experience in developing and deploying advanced data\-driven solutions. You will play a key role in our AI\-CoE team, contributing to cutting\-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services. Detailed Job Description \& Key Responsibilities * Design, develop, and deploy machine learning systems, including Generative AI models and LLMs. * Research and implement state\-of\-the\-art ML algorithms and tools. * Conduct data preprocessing, feature engineering, and statistical analysis. * Train, fine\-tune, and optimize machine learning models for performance and accuracy. * Collaborate with cross\-functional teams, including data scientists, software engineers, and domain experts. * Extend existing ML frameworks and libraries to meet project requirements. * Stay updated with the latest advancements in machine learning and AI. Skills: * Working knowledge of machine learning and deep learning skills. * Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks \& tools – PyTorch, Sci\-kit, NumPy, Gen AI tools like langchain/llamaIndex * Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. \- must have * Experience in handling databases (SQL and NoSQL) * Exposure to MLFlow, KubeFlow, Git CI/CD * Experience with containerization tools like Docker, and orchestration tools like Kubernetes * Excellent problem\-solving skills and a proactive attitude. * Strong communication and teamwork abilities. * Ability to manage multiple projects and meet deadlines Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: DATA SCIENTIST Company: TE Connectivity Job Category: Machine Learning Roles & Responsibilities: At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview We are looking for a Data Scientist who can solve business problems using Machine Learning, Statistical Modeling, and Generative AI. The role involves partnering with business stakeholders to identify opportunities, developing AI/ML solutions, building production\-grade models, and driving measurable business impact across areas such as manufacturing, supply chain, forecasting, quality, customer service, and enterprise productivity. Roles \& Responsibility AI \& Machine Learning * Design, develop, and deploy predictive and prescriptive analytics solutions. * Apply machine learning techniques including regression, classification, clustering, anomaly detection, forecasting, and optimization. * Conduct exploratory data analysis, feature engineering, and model evaluation. * Build scalable ML pipelines and monitor model performance. * Develop GenAI solutions using LLMs and foundation models. * Build RAG (Retrieval Augmented Generation) applications using vector databases and embeddings. * Utilize frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or similar agentic AI frameworks. * Evaluate and optimize prompts, retrieval strategies, and model performance. * Work with structured and unstructured data from enterprise systems. * Build data pipelines using SQL, Azure Data Factory, Databricks, or similar technologies. * Develop and deploy solutions on Azure, AWS, or cloud\-native platforms. * Collaborate with engineering teams to productionize AI solutions. * Translate business challenges into analytical frameworks and AI solutions. * Present insights and recommendations to stakeholders and leadership. * Drive adoption of AI solutions and measure business impact. About Te Connectivity TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next\-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Principal Machine Learning Engineer Company: Ema Job Category: Machine Learning Roles & Responsibilities: We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Role Overview \& Key Responsibilities This is a high\-leverage leadership role that spans architecture, execution, and org\-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large\-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM \+ SLM \+ Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company\-wide levels. Responsibilities * Lead the technical direction of GenAI and agentic ML systems that power enterprise\-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. * Architect, design, and implement scalable production pipelines for model training, fine\-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. * Define and own the multi\-year ML roadmap for GenAI infrastructure — including agent frameworks, RAG systems, world\-class evaluation loops, and integration with MCP, browser, and vision pipelines. * Identify and integrate cutting\-edge ML methods / research (deep learning, large models, recommender systems, LLMs, etc.) into Ema’s products or infrastructure. * Research, prototype, and integrate cutting\-edge ML and LLM advancements (reasoning, memory architectures, multi\-modal perception, long\-context models, autonomous agents) into the platform. * Optimize trade\-offs between accuracy, latency, cost, interpretability, and real\-world reliability across the agent lifecycle — from prompt design to orchestration and execution. * Champion engineering excellence — drive observability, reproducibility, versioning, testing, and bias\-aware development across ML and agentic systems. * Mentor and elevate senior engineers and researchers, fostering a culture of scientific rigor, experimentation, and system\-level thinking. * Collaborate cross\-functionally with product, infra, and research teams to align ML innovation with enterprise needs — enabling secure integrations, privacy\-aware deployments, and scalable use cases. * Influence data strategy — guide how retrieval indices, embeddings, structured/unstructured corpora, and feedback loops evolve to improve grounding, factuality, and reasoning depth. * Drive system scalability and performance — ensuring ML agents and RAG pipelines can operate across billions of knowledge objects, diverse APIs, and real\-time enterprise contexts. Our culture \& Values * High Bar on Quality – We value excellence and expect world\-class execution. * Ownership \& Accountability – We take full responsibility for our work and outcomes. * Impact\-Driven Approach – We set ambitious goals and measure success through real\-world impact. * Team Collaboration \& Growth – We believe in continuous learning, knowledge sharing, and supporting each other. * No Hierarchy, Just Execution – Everyone is an individual contributor, focused on delivering results. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Scientist Company: eGrove Systems Pvt. Ltd Job Category: Machine Learning Roles & Responsibilities: Job Description: Data Scientist We are looking for an experienced Data Scientist with a strong engineering background to develop, train, deploy, and maintain machine learning models in production environments. The ideal candidate should have hands\-on expertise in Python, machine learning frameworks, GCP, Kubernetes, and MLOps practices. Key Responsibilities * Develop, train, and validate machine learning models using Python. * Perform exploratory data analysis, feature engineering, and model evaluation. * Apply machine learning techniques for prediction, classification, and optimization. * Orchestrate ML inference and post\-processing pipelines using Argo Workflows on Kubernetes. * Use Vertex AI for scalable model training, hyperparameter tuning, and validation. * Build and maintain Python\-based training, inference, and feature engineering runtimes. * Optimize production inference pipelines for performance, reliability, and scalability. * Manage trained model artifacts in Google Cloud Storage (GCS). * Maintain model versioning, metadata, lineage, rollback, and auditability. * Implement model monitoring, drift detection, and retraining strategies. * Follow best practices for documentation, testing, and responsible AI. * Participate in on\-call rotations for inference infrastructure. Work Location: In person Work Location: Karnataka, India Availability: Full time
