Average salary: Rs140,000 /yearly
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- ...business goals and objectives Lead the creation and implementation of scalable, robust, and high-performance ML architectures including MLOps, AIOps leveraging cloud native services (AWS, Azure, GCP) and open-source frameworks Design, build, and optimize machine learning...SuggestedHybrid workVisa sponsorshipRelocationWork visaFlexible hoursShift work
- ...Role: Infra Engineer (DevOps + MLOps) Location: Bengaluru, Karnataka Experience: 3–6 Years About Virallens At Virallens, we are a dynamic, tech-driven team helping businesses scale, innovate, and lead through powerful AI-first solutions. We design, develop...SuggestedFull time
- ...from Office / Hybrid)Experience : 5 to 8 YearsEmployment Type : Full-TimeAbout the Role :We are looking for a highly skilled Senior Ops/MLOps Engineer to drive the deployment, scalability, and operational excellence of GenAI, LLM, and Machine Learning workloads. This role...SuggestedFull timeHybrid workWork at office
- ...Oversee the development of robust, scalable, and secure custom AI chatbot builds and Retrieval-Augmented Generation (RAG) systems. MLOps & DevOps Oversight: Drive the implementation of MLOps principles and DevOps practices (CI/CD, automated testing) to ensure repeatable...Suggested
- ...Job Title: Customer Operations XOPS - MLOPS Manager Job Location: UniOps Bangalore About Unilever Be part of the world's most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities...SuggestedFull timeFlexible hoursShift work
Rs 1 - 4 lakhs p.a.
...Are you an MLOps Engineer ready to elevate your expertise Soul AI (by Deccan AI) is building a high-caliber network of professionals to collaborate on cutting-edge AI initiatives. This is your chance to solve real-world AI challenges alongside industry leaders. Why Join...SuggestedFull timeContract workFreelanceRemote jobFlexible hoursRs 3 - 8 lakhs p.a.
...Looking for a Sr MLOps Engineer with a strong background in Data Engineering, who aspire to be part of a Data Science & AI Operations function in R&D. This role involves applying advanced software engineering skills for the design, creation, management, and business use of...Suggested- ...MLOPS Architect Opening(12+Years and above ) Role – Offshore technical lead for MLOPs team Technical Lead to design, build, and operate cloud-native solutions on Microsoft Azure , leading end-to-end delivery across MLOps capabilities, drive architecture, engineering...Suggested
Rs 5 - 7 lakhs p.a.
...environments. Proficient in AWS services including SageMaker, S3, Glue, Lambda, and CloudFormation/Terraform. - Hands-on expertise with MLOps best practices, including model versioning, monitoring, and CI/CD for ML pipelines. Proficiency in Python and SQL; experience with...Suggested- ...just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Lead/Associate Lead - QA + MLOps & Generative AI Experience: 10+ years Location: Mumbai/Bangalore (Hybrid) Key Responsibilities: AI/ML & GenAI Testing...SuggestedContract workHybrid work
- Description : MLOps Platform Engineer will own the deployment, IaC, observability, runtime management, and cost governance across all layers of the Agentic Platform.Role & responsibilities : - Build IaC with Terraform or AWS CDK.- Implement CI/CD (CodePipeline, GitHub Actions...Suggested
- Role : MLops EngineerBuild ML components that power an enterprise tool where users assemble item/recipe-like structures from a bespoke ERP catalogue. Your models will- suggest the right items and alternatives,- pre-populate grids/forms based on a brief,- learn from user overrides...Suggested
Rs 4.5 - 8.5 lakhs p.a.
...Key Responsibilities: Research, develop, and deploy AI models in production environments. Leverage AIOps and MLOps practices for efficient model management. Contribute to DevOps practices for AI/ML using OpenShift, Azure ML, and CI/CD pipelines. Deploy and manage...Suggested- ...reproducibility standards. Experience: 5–8 years of experience in software engineering or data engineering, with at least 3+ years in MLOps. Preferred Qualifications: Experience with large-scale ML systems and distributed training. Familiarity with GenAI model...SuggestedHybrid work
- ...requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution...Suggested
- ...Perkins and Peak XV, we're redefining how businesses understand and act on the voice of their customers. About the Role As Head of MLOps at Enterpret, you'll be responsible for how LLM models are fine-tuned, how prompts are managed, how we run evals, how we optimize for...Remote jobFull time
- ...architecting, developing, and deploying scalable Machine Learning and GenAI solutions. The role focuses on end‑to‑end model lifecycle ownership, MLOps excellence, cloud-native deployment, and cross-functional collaboration to drive high‑impact AI initiatives. What You will Do:...Hybrid work
- Description : We are looking for an MLOps Engineer to join our team. In this role, you will bridge the gap between Data Science and Operations. We are not looking for a generalist software engineer; we need someone who has specifically applied DevOps principles to Machine Learningbuilding...Casual work
Rs 5 - 10 lakhs p.a.
...environments. - Proficient in AWS services including SageMaker, S3, Glue, Lambda, and CloudFormation/Terraform. - Hands-on expertise with MLOps best practices, including model versioning, monitoring, and CI/CD for ML pipelines. - Proficiency in Python and SQL; experience...- ...Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Principal Consultant -MLOps Engineer! In this role, lead the automation and orchestration of our machine learning infrastructure and CI/CD pipelines on public...
- ...Role : MLOps Engineer Location - AIA Bangalore Experience- 5 To 1 4years Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform,...
Rs 6 - 11 lakhs p.a.
~5 years of experience in MLOps and building ML pipelines ~ Deep understanding of the MLOps lifecycle and automation of ML workflows ~ Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow ~ Strong experience in GPU accelerators and CUDA for...- ...Description We are seeking a MLOps Engineer to design, build, and operate scalable machine learning and GenAI platforms. You will be responsible for enabling reliable model development, deployment, monitoring, and lifecycle management across data science and engineering...Work at office
- Experience in MLOps or related roles - Data Science - Hands-on experience with ML model deployment and monitoring - System Administration - Proven track record of implementing CI/CD pipelines - Automation Tools - Experience with version control systems (Git). Assess the...
- ...Solutions Architect – Professional, AWS Certified Machine Learning – Specialty). Roles And Responsibilities Lead and manage a team of MLOps engineers and cloud system engineers, ensuring alignment with strategic AI initiatives. Oversee the design and implementation of...
- ...(Pandas, NumPy), ML frameworks (TensorFlow, PyTorch, scikit-learn), databases (SQL & NoSQL), and big-data stacks (Spark, Hadoop). MLOps & cloud deployment mastery: Containerization (Docker, Kubernetes), CI/CD pipelines, and monitoring workflows that keep models reliable...
- ...Germany, Japan, Australia, Denmark and Sweden. Located at the center of Bangalore IT HUB, IDC is housed at state of art facility. As an MLOps (Machine Learning Operations) Engineer, you will be responsible for applying DevOps principles to the machine learning lifecycle,...Local area
- About Saarthee: Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: Our Customers’ Success. At...Work at office
- About Us We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people...
- ...efficiency for field agents. Drive the adoption of ML tools and best practices across engineering and data science teams, establishing MLOps pipelines for scalable model deployment and monitoring. Lead the architecture and development of scalable, resilient ML systems for...Full time
