178 ml ops opportunities in Bengaluru updated today
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· Page 1 / 9It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Role: MLOps Platform Engineer Experience: +5 years Overview: We are seeking a skilled MLOps Platform Engineer to build and maintain a robust platfo
Role Name: MLOps Engineer At Kapture CX, we are looking for an MLOps Engineer in our AI/ML Team . Who are we? Kapture CX is a leading SaaS platform that helps enterprises automate and elevate customer experience through intelligent, AI-powered solutions. We partner with enterprises across industries
Roles and Responsibilities Design and develop generative AI models using various techniques such as language modeling, text generation, image synthesis, etc. Collaborate with cross-functional teams to integrate generative AI solutions into existing systems. Develop and maintain large language models
Company Description DataZymes is revolutionizing the pharma industry with data-driven digital products that address the inefficiencies of traditional consulting and technology solutions. Focused on creating the best user experiences for working with data, DataZymes enables individuals to address com
Greetings from Teknikoz Experience: 5+Years Job Overview We are seeking a Sr. MLOps Engineer with 5+ years of experience to design, automate, and manage the lifecycle of machine learning models. This role is focused on building high-performance, scalable ML infrastructure on Microsoft Azure that bri
Company Description DataZymes is revolutionizing the pharma industry with data-driven digital products that address the inefficiencies of traditional consulting and technology solutions. Focused on creating the best user experiences for working with data, DataZymes enables individuals to address com
Schneider Electric India Pvt. Ltd. is looking for Lead, ML Ops Engineer to join our dynamic team and embark on a rewarding career journey Develop and implement scalable data pipelines using Azure Data Factory. Design and deploy machine learning models using Python and PySpark. Collaborate with cross
Mandatory Skills : ML, Azure, AWS or GCP,PaaS, SaaS, IaaS,Python/R, SQL JOB DESCRIPTION As a Manager/Senior Manager for MLOps, you will manage multiple projects of varying complexity and ensure on-time and on-budget delivery for clients. He/ she will lead a team working across cross-functional group
Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology so
Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology so
Role Overview: We are looking for a highly skilled MLOps / AI Engineer to design, build, and deploy scalable machine learning and Generative AI systems in production. The role involves owning the end-to-end ML lifecycle, from data pipelines and model training to deployment, monitoring, and optimizat
Job Description Job Description Summary GE HealthCare's Chief Data and Analytics Office (CDAO) delivers innovative data, insights, and AI solutions across the organization. Our Enterprise AI team drives a diverse portfolio of Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (Ge
Schneider ElectricWe are your Energy Technology Partner : we electrify, automate and digitalize every industry, business and home, driving efficiency and sustainability for all. At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. And artifici
Description We are looking for an MLOps Engineer with 3 5 years of experience building and operating production ML systems, with meaningful exposure to the pharma or healthcare domain. You will be responsible for taking data science outputs and making them robust, scalable, and maintainable in produ
Senior Associate – MLOps / LLMOps Engineer Role: Senior Associate – MLOps / LLMOps Engineer Level: Senior Associate Tower: AI Platform Engineering & MLOps (AI Managed Services) Experience: 5–10 years Key Skills: AWS Cloud & Infrastructure; MLOps & LLMOps; Dev Ops & CI/CD; Model & Artifact Versioning
We are your Energy Technology Partner : we electrify, automate and digitalize every industry, business and home, driving efficiency and sustainability for all. At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future. And artifici
JD Machine Learning Operations (ML Ops) Engineer Role Overview The ML Ops Engineer is responsible for operationalizing machine learning models by building reliable, scalable, and governed pipelines that support the full ML lifecycle from development to production. The role ensures models are deploye
ProcDNADescription We are looking for an MLOps Engineer with 3–5 years of experience building and operating production ML systems, with meaningful exposure to the pharma or healthcare domain. You will be responsible for taking data science outputs and making them robust, scalable, and maintainable in pro
We are looking for talented professionals with strong expertise in Generative AI, Agentic AI systems, and Machine Learning to design and build intelligent, scalable, and production-grade AI solutions. This includes working on LLM-based applications, multi-agent systems, and end-to-end ML pipelines.
We are looking for talented professionals with strong expertise in Generative AI, Agentic AI systems, and Machine Learning to design and build intelligent, scalable, and production-grade AI solutions. This includes working on LLM-based applications, multi-agent systems, and end-to-end ML pipelines.
InfosysStrong proficiency in Python, Git, Bash scripting, Docker and ML flow/Airflow/Kubeflow, Data bricks MLOps/DevOps Working knowledge with implementation and support experience - 1 or 2 projects a minimum Hands-on experience in building and maintaining end-to-end ML pipelines including CI/CD pipeline,
At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are sk
SmartsheetFor over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re
We are looking for smart, self-driven, high energy people with top notch communication skills, intellectual curiosity and passion for technology in Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (Financial Services), strong business acumen and exc
Req ID: 367276 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI/ML Developer to join our team in Bangalore, Karnātaka (I
Skills and Background EXPERIENCE: 3-10 years building and delivering production ML or AI systems with measurable business impact. Experience in regulated industries (financial services, insurance, healthcare) is a plus. Demonstrated success owning and shipping multiple stable AI/ML releases in compl
Tech MahindraRole: AI/ML Experience: 5-10 Years Location. : Bangalore If interested pls share your cv's directly to bp00835635@techmahindra.com AI/ML Engineer Mandatory Skills Python TensorFlow/PyTorch basics Understanding of ML algorithms Preferred Skills Exposure to data preprocessing tools (Pandas, NumPy) Bas
₹5,40,000 – ₹8,60,000/year
Estimation confidence: Low
Estimate based on market data for Bengaluru. Actual salaries may vary depending on experience, company, and area.
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