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: 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: 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: AI ML Developer Company: Scoutit Job Category: Machine Learning Roles & Responsibilities: We're looking for AI ML Developers ! Responsibilities : * Design, develop, train, and optimize Machine Learning and Deep Learning models. * Analyze structured and unstructured datasets to identify business insights and opportunities. * Build and maintain data pipelines for model training and inference. * Develop AI solutions using NLP, Computer Vision, Recommendation Systems, or Predictive Analytics. * Deploy ML models using cloud platforms and MLOps best practices. * Perform feature engineering, model evaluation, hyperparameter tuning, and performance optimization. * Collaborate with Data Scientists, Software Engineers, and business stakeholders. * Monitor model performance and retrain models as required. * Document model architecture, experiments, and deployment processes * Be a team player and work across teams. ( Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.) Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: AI/ML/GEN AI Engineer Company: Infosys Job Category: Machine Learning Roles & Responsibilities: Perform data collection, profiling, exploration data analysis (EDA), and data preparation. Apply a range of ML techniques including supervised, unsupervised, and reinforcement learning. Design, develop, and deploy machine learning models using Python and popular ML frameworks Implement NLP solutions using NLP techniques like preprocessing, tokenization, vectorization, and semantic analysis. Develop and deploy GenAI solutions such as RAG systems and Agentic AI. Monitor model performance in production and implement retraining strategies. Adhere to and implement Responsible AI principles in all ML workflows. Present analytical insights to business stakeholders and project teams. Propose ML\-based solutions and provide effort estimates for new use cases. Collaborate with data scientists and engineers on model training, evaluation, and deployment. Utilize AI services from cloud platforms such as Azure, AWS, and GCP. Work Location: Bengaluru East, Karnataka, India Availability: Full time

Job Title: AI/ML Engineer(s)-61060 Company: Hitachi Digital Services Job Category: Machine Learning Roles & Responsibilities: Job Description AI/ML Engineer(s) 5\+ years of experience in Data/AI projects (P3\) Design, develop, and train machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, and scikit\-learn Knowledge of supervised, unsupervised, and reinforcement learning techniques to address diverse business challenges Perform feature engineering and data processing to enhance model performance Deploy machine learning models into production environments, ensuring seamless integration with existing software architectures using CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (AWS or Azure) Experience with cloud platforms, containerization, and MLOps practices Programming skills in Python ETL experience prefered About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co\-create meaningful solutions to complex challenges. We turn organizations into data\-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. We help take care of your today and tomorrow with industry\-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. Work Location: Bengaluru, Karnataka, India Availability: Full time