▷ 3 Days Left Sr. ML Ops Platform Engineer
3 weeks 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+ 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. About the Role You'll be responsible for architecting, automating, and optimizing large-scale Data & ML pipelines on AWS, while ensuring performance, scalability, and reliability across the infrastructure. Responsibilities - Build 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 plus Required Skills - 7+ 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 CodePipeline - Experience 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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ML Ops Engineer
2 weeks ago
India People Prime Worldwide Full timeAbout Company : Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’...
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Sr. AI/ ML Engineer
1 week ago
Hyderabad, India Soulax Full timeJob Description Sr AI/ ML Engineer: We're looking for a Senior AI/ML Engineer with a strong foundation in geometric reasoning, hands-on Python and SQL expertise, and a flair for creative problem-solving. This role is ideal for someone who thrives on building innovative, agent-driven solutions and can independently devise new frameworks or approaches to solve...
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(15h Left) ML Ops
3 weeks ago
India EXL Full timePrior ~2+ years of experience working with ML Ops & DS Responsibilities & Skills: Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions). Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools. Containerize and orchestrate workloads with Docker &...
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Data Scientist
15 hours ago
Bengaluru, India NetApp Full timeJob Description About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of,...
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ML Ops
4 weeks ago
India EXL Full timePrior ~2+ years of experience working with ML Ops & DSResponsibilities & Skills:Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions).Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools.Containerize and orchestrate workloads with Docker & Kubernetes;...
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ML Ops
3 days ago
India EXL Full timePrior ~2+ years of experience working with ML Ops & DS Responsibilities & Skills : Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions) . Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools . Containerize and orchestrate workloads with Docker &...
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[3 Days Left] Principal Software Engineer
4 weeks ago
Noida, India Microsoft Full timeJob Description Are you passionate about creating innovative solutions that empower users to achieve more with Office applications Do you have a strong background in natural language processing, generative AI, and engineering If so, we are looking for a Principal ML Software Engineer to join our team, working at the intersection of generative AI and...
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▷ 3 Days Left: Java Integraton Engineer
3 weeks ago
India Tiniva - Ai Powered Travel Platform Full timeJava Integration Specialist (Bangalore) Location: Bangalore (work from Office) Experience: 3+ Years Notice Period: Immediate joiners / candidates with ≤30 days preferred About the Role We're looking for an experienced Java Integration Specialist to join our high-performance engineering team. The ideal candidate is passionate about solving complex...
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Sales Engineer
4 weeks ago
Pune, India Trident Techlabs Limited Full timeJob Description We are actively Hiring | Sales/Sr. Sales Engineer (PSG), New Delhi | Pune Position: Sales Engineer | Sr. Sales Engineer Location: New Delhi | Pune Experience: 1-3 | 3-8 years Education: BE | B Tech. in Electrical Engineer Required Skills: 1. Relevant Sales experience in Power Sector Sales /Power Distribution/Transmission 2. Sales experience...
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3 Days Left! Gen AI Architect
4 weeks ago
India IGT Solutions Full timeJob Description Job Title: Architect - Gen AI, LLM, Big Data Experience: 18+ Years Location: Pune/ Gurugram Employment Type: Full-Time / Permanent Job Summary: We are looking for an experienced Architect with deep expertise in Generative AI (Gen AI), Large Language Models (LLM), and Big Data technologies. The ideal candidate will have 18+ years of experience...