Senior MLOps Engineer
3 weeks ago
Role : Senior MLOps EngineerLocation: Noida, Gurgaon, Mumbai Pune, Bengaluru, Hyderabad - work from OfficeStart Date : Immediate***Looking for Immediate Joiner***Job Description :Key Responsibilities- Develop scalable and maintainable Python-based backend systems. - Build and optimize APIs and services using frameworks like Flask or Django. - Collaborate with cross-functional teams, including data scientists, DevOps, architecture, QA, cyber security, etc., to integrate classic ML and LLM models into production workflows. - Design and maintain efficient database schemas and queries. - Implement security and data protection best practices. - Debug, test, and improve existing systems. - Support production systems and ensure high availability. - Take full ownership of design initiatives—from concept to task breakdown. - Ensure system reliability, fault tolerance, and performance optimization.Must-Have:- 5+ years of experience as a Python developer. - Proficiency in at least one Python web framework (Flask, Django). - Strong understanding of ORM tools and relational databases. - Experience with cloud platforms (Azure preferred, AWS acceptable). - Solid SQL skills and query optimization techniques. - Bachelor's degree in Computer Science, Engineering, or equivalent. - Excellent problem-solving and collaboration skills. - Experience with Kubernetes (EKS), Docker, and CI/CD pipelines. - Experience building scalable data pipelines and integrating with ML workflows.Nice-to-Have:- Experience with big data technologies (Snowflake preferred). - Familiarity with ML libraries (scikit-learn, pandas, PySpark, and PyArrow). - Ability to design and optimize database performance. - Prior collaboration with data science teams.Soft Skills- Energetic, open-minded, and creative. - Strong self-learning ability. - Team player with excellent communication skills. - Flexible and adaptable to change. - Independent and proactive. - Fluent in English – Must
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Senior MLOps Engineer
2 weeks ago
Bengaluru, India AGCO Full timeWork Location: This position can be offered as hybrid from one of AGCO’s office locations or fully remote. Please indicate your preferred working arrangement (hybrid or remote) in your online application. Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the...
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Senior MLOps
2 weeks ago
Bengaluru, Chennai, Hyderabad, India VDart Software Services Full time ₹ 8,00,000 - ₹ 24,00,000 per yearRole & responsibilitiesPosition: - Senior MLOps / AIOps Platform EngineerExperience: - Minimum 5 years relevant in MLOps / AIOpsLocation: Hybrid Remote (1 day / week from office)Preferred candidate profileAny profile which does not proper project timelines (start date, end date & duration) and not aligning with employment timelines will be directly...
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Senior Staff Engineer: MLOps
6 days ago
Bengaluru, Karnataka, India Bean Hr Consulting Full time ₹ 20,00,000 - ₹ 25,00,000 per yearJob Title: Senior Staff Engineer MLOpsLocation: Bangalore, IndiaWork Type: Hybrid (part remote, part onsite)Experience: 11-15 yearsEmployment Type: Full-timeRole OverviewWe are looking for a Senior Staff Engineer MLOps to design, build, and maintain end-to-end ML pipelines. You will work with Data Scientists, Data Engineers, and DevOps teams to productionize...
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MLOps Engineer
1 week ago
Bengaluru, India QUARKS TECHNOSOFT PRIVATE LIMITED Full timeDescription : We are seeking a hands-on MLOps Engineer with 36 years of experience in machine learning infrastructure, automation, and deployment.You will design and manage scalable, production-grade ML systems with a strong focus on Docker, Kubernetes, CI/CD, and cloud environments.While this role primarily emphasizes MLOps and DevOps engineering, a solid...
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MLOPS Engineer
2 weeks ago
Bengaluru, Karnataka, India Cognizant Technology Solutions Full time ₹ 15,00,000 - ₹ 25,00,000 per yearRole : MLOps EngineerLocation - ChennaiKey words -SkillsetAWS SageMaker, Azure ML Studio, GCP Vertex AIPySpark, Azure DatabricksMLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipelineKubernetes, AKS, Terraform, Fast APIResponsibilitiesModel Deployment, Model Monitoring, Model RetrainingDeployment pipeline, Inference pipeline, Monitoring pipeline,...
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Senior MLOps Engineer
4 weeks ago
Bengaluru, India Kovan Technology Solutions Full timeRole : Senior MLOps Engineer Location: Noida, Gurgaon, Mumbai Pune, Bengaluru, Hyderabad - work from Office Start Date : Immediate ***Looking for Immediate Joiner*** Job Description : Key Responsibilities - Develop scalable and maintainable Python-based backend systems. - Build and optimize APIs and services using frameworks like Flask or Django. -...
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Senior Advisor – OneTru Platform
1 week ago
Bengaluru, India TransUnion LLC Full timeWhat We'll Bring: At TransUnion, we strive to create an environment where our associates lead their professional growth while having access to the resources and mentorship needed to succeed. We encourage innovation, ownership, and collaboration across all levels. As a Senior Advisor, you will have the opportunity to influence strategic decisions, shape...
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Mlops
2 weeks ago
Bengaluru, India TransUnion Full timeTransUnion's Job Applicant Privacy Notice **What We'll Bring**: A MLOps Engineer is responsible for the deployment, maintenance, and scaling of machine learning models in production environment. **What You'll Bring**: Key responsibilities: 1. Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP), 2. Build CI/CD pipelines...
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MLOps Engineer
2 weeks ago
Bengaluru, India HyrEzy Talent Solutions Full timeDetails & Specification : Experience : 1 - 6 YearsLocation : "Bangalore, Mumbai, or Gurgaon (Hybrid / Work from Office)"Mandatory Background : "B.Tech/M.Tech from IIT, NIT, BITS Pilani, or IIIT"The Company : High-Growth B2B AI SaaSAbout the Role : We are seeking a proactive and skilled MLOps Engineer to serve as the critical link between our Data Science and...
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MLOps Engineer
3 weeks ago
Bengaluru, India Capgemini Full timeResponsibilitiesExperience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model GovernanceExpert in Azure Databricks, Azure ML, Unity CatalogHands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, DockerExperience in developing standards and practices for MLOPS...