Sr. ML Ops Platform Engineer
6 days ago
We’re Hiring: Senior MLOps / DevOps Engineer (for one of our esteemed clients)Location: PAN India (Gurugram, Noida, Bangalore, Chennai, Hyderabad, Pune)Experience: 7+ YearsDomain: AI / ML Infrastructure & AutomationAbout the CompanyWe’re looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client’s growing team.About the RoleYou’ll be responsible for architecting, automating, and optimizing large-scale Data & ML pipelines on AWS, while ensuring performance, scalability, and reliability across the infrastructure.ResponsibilitiesBuild and maintain systems using DevOps & LLM Ops tools (Kubernetes, Docker, Terraform, AWS, Python).Architect and implement AWS-based scalable infrastructure (Lambda, EC2, Docker, Networking, Monitoring, etc.).Design and automate Data & ML pipelines with CI/CD and deployment best practices.Implement observability solutions using Prometheus, Loki, Grafana, or Datadog.Conduct POCs for new solutions and continuously improve existing architectures.Collaborate with Product, Data, and Executive teams to address infrastructure and data challenges.Drive code reviews and mentor junior engineers. Qualifications🎓 Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field. 5–7+ years of experience in AI/ML development or production-level MLOps systems Prior experience in AI-first companies or open-source ML contributions is a plusRequired Skills7+ years of experience in Software / DevOps Engineering with strong Python, SQL, and Pandas skill.Hands-on experience with AWS (Lambda, EC2, EMR, S3, Glue, Athena, RDS, IAM, Batch, Sagemaker, Airflow)Expertise in Terraform, Kubernetes, Docker, GitHub Actions, Jenkins, or CodePipelineExperience in CI/CD pipelines and working with API.Familiarity with Relational & NoSQL databases (Snowflake preferred)Exposure to Kubeflow or MLflow is an added advantage.Note: Looking for Immediate Joiners only
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Sr. ML Ops Platform Engineer
6 days ago
Gurugram, India Amicon Hub Services Full timeWe’re Hiring: Senior MLOps / DevOps Engineer (for one of our esteemed clients)Location: PAN India (Gurugram, Noida, Bangalore, Chennai, Hyderabad, Pune)Experience: 7+ YearsDomain: AI / ML Infrastructure & AutomationAbout the CompanyWe’re looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client’s growing team.About the...
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Sr. ML Ops Platform Engineer
6 days ago
gurugram, India Amicon Hub Services Full timeWe're Hiring: Senior MLOps / DevOps Engineer (for one of our esteemed clients)Location: PAN India (Gurugram, Noida, Bangalore, Chennai, Hyderabad, Pune)Experience: 7+ YearsDomain: AI / ML Infrastructure & AutomationAbout the CompanyWe're looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client's growing team.About the...
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Sr. ML Ops Platform Engineer
6 days ago
Gurugram, India Amicon Hub Services Full timeWe’re Hiring: Senior MLOps / DevOps Engineer (for one of our esteemed clients) Location: PAN India (Gurugram, Noida, Bangalore, Chennai, Hyderabad, Pune) Experience: 7+ Years Domain: AI / ML Infrastructure & Automation About the Company We’re looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client’s growing team....
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Sr. ML Ops Platform Engineer
5 days ago
Gurugram, India Amicon Hub Services Full timeWe’re Hiring: Senior MLOps / DevOps Engineer (for one of our esteemed clients) Location: PAN India (Gurugram, Noida, Bangalore, Chennai, Hyderabad, Pune) Experience: 7+ Years Domain: AI / ML Infrastructure & Automation About the Company We’re looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client’s growing team....
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ML OPs
2 weeks ago
Gurugram, India Invokhr Full timeROLE PURPOSE The ML Platform Specialist will be responsible for designing, implementing, and maintaining robust machine learning infrastructure and workflows using Databricks Lakehouse Platform. This role is critical in ensuring the smooth deployment, monitoring, and scaling of machine learning models across our organization. Must Have- Their experience with...
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ML Engineer
2 weeks ago
Gurugram, India Weekday AI Full timeThis role is for one of the Weekday's clients Min Experience: 6 years Location: Gurugram JobType: full-time We are looking for an experienced Machine Learning Engineer with 6–12 years of hands-on expertise in designing, developing, and deploying AI/ML solutions at scale. The ideal candidate is strong in end-to-end model development, has a deep...
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ML Engineer
2 weeks ago
gurugram, India Weekday AI Full timeThis role is for one of the Weekday's clientsMin Experience: 6 yearsLocation: GurugramJobType: full-timeWe are looking for an experienced Machine Learning Engineer with 6–12 years of hands-on expertise in designing, developing, and deploying AI/ML solutions at scale. The ideal candidate is strong in end-to-end model development, has a deep understanding of...
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ML Engineer
2 weeks ago
Gurugram, India Weekday AI Full timeThis role is for one of the Weekday's clients Min Experience: 6 years Location: Gurugram JobType: full-timeWe are looking for an experienced Machine Learning Engineer with 6–12 years of hands-on expertise in designing, developing, and deploying AI/ML solutions at scale. The ideal candidate is strong in end-to-end model development, has a deep understanding...
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StatusNeo - ML Engineer
2 weeks ago
Gurugram, India Nexthire Full timeJob Title: ML Engineer Experience: 9+ YearsLocation: Bangalore (On-site – 5 Days a Week)Employment Type: Full-Time About the Role: We are looking for a highly experienced and driven ML Engineer with a strong background in Generative AI, Large Language Models (LLMs) , and machine learning systems . This is a critical role where you will help design, build,...
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Devops engineer
4 weeks ago
Gurugram, India DotPe Full timeAbout the Role:We are looking for a highly skilled Dev Ops Engineer to join our technology team and drive the deployment, scaling, and reliability of large-scale production systems. The ideal candidate will have strong hands-on experience with cloud platforms, container orchestration, and CI/CD pipelines. Experience in AI/ML environments is a plus, as you...