MLOps Engineer
3 days ago
Job Description - MLOps Engineer (46 Years)We are seeking an experienced MLOps Engineer with strong expertise in LLM deployment, optimization, and scalable model serving. The ideal candidate will work at the intersection of AI/ML engineering, DevOps, and cloud infrastructure, ensuring seamless integration of large-scale AI models into production.Responsibilities :- Design, deploy, and manage Large Language Models (LLMs) in production environments.- Build and optimize scalable ML pipelines for training, fine-tuning, and inference.- Implement MLOps best practices including CI/CD for ML, experiment tracking, and automated retraining workflows.- Optimize model performance through quantization, pruning, distillation, and GPU/TPU acceleration.- Manage and monitor LLM serving infrastructure with Kubernetes, Docker, and orchestration tools.- Collaborate with data scientists and researchers to integrate models into real-world applications.- Ensure reliability, scalability, and security of deployed ML systems.- Implement observability and monitoring for model performance, drift detection, and resource utilization.Key Skills & Experience :- 4-6 years of hands-on experience in MLOps / ML Engineering.- Expertise in LLM deployment, fine-tuning, and inference optimization.- Strong knowledge of Kubernetes, Docker, MLflow, Kubeflow, Airflow, or similar platforms.- Experience with model compression, distributed training (Horovod, DeepSpeed, Ray), and serving frameworks (TensorRT, Triton Inference Server, TorchServe, Hugging Face Inference).- Proficiency in Python, PyTorch/TensorFlow, and cloud platforms (AWS/GCP/Azure).- Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).- Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus) for LLM applications.- Understanding of observability tools (Prometheus, Grafana, ELK, Datadog).Preferred :- Experience with retrieval-augmented generation (RAG) pipelines.- Knowledge of LangChain, LlamaIndex, or similar frameworks.- Exposure to multi-modal LLMs and real-time inference systems. (ref:hirist.tech)
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MLOps Engineer
6 days ago
New Delhi, India C5i Full timeJob descriptionWe are looking for an experienced MLOps Engineer to join our team in Bengaluru. The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models. This role offers the opportunity to work on cutting-edge AI solutions and drive efficiency in ML workflows.Job...
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MLOps Engineer
5 days ago
New Delhi, India Meril Full timeMLOps Engineer | Nuvo AI / Meril Life Sciences (Vapi, Gujarat)We’re looking for a passionate and skilled MLOps Engineer to join our AI & Machine Learning Division at Meril Life Sciences, where innovation meets healthcare.If you’re excited about designing scalable machine learning pipelines, automating model deployments, and ensuring reliable ML systems...
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MLOps Engineer
1 week ago
Delhi, India X4 Technology Full timeJob Title: MLOps EngineerJob Type: ContractLocation: Fully RemoteContract Length: 3-6 MonthsMLOps Engineer - Role & Responsibilities- Design, deploy and manage scalable & secure cloud infrastructure- Apply least privilege across cloud platforms (Azure, RBAC, AWS IAM)- Enable audit logging controls appropriate for GenAI/ML workloads- Implement CI/CD for data...
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MLOps Engineer
7 days ago
Delhi, India X4 Technology Full timeJob Title: MLOps EngineerJob Type: ContractLocation: Fully RemoteContract Length: 3-6 MonthsMLOps Engineer - Role & Responsibilities- Design, deploy and manage scalable & secure cloud infrastructure- Apply least privilege across cloud platforms (Azure, RBAC, AWS IAM)- Enable audit logging controls appropriate for GenAI/ML workloads- Implement CI/CD for data...
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MLops Engineer
1 week ago
Delhi, India Recro Full timeRole OverviewWe are looking for an experienced MLOps Lead with deep expertise in Azure and AWS cloud ecosystems, who can design, deploy, and manage scalable AI/ML infrastructure. The ideal candidate should bring a strong background in cloud governance, GenAI tooling, automation, and CI/CD pipelines, with hands-on experience across modern MLOps frameworks.Key...
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MLops Engineer
7 days ago
Delhi, India Recro Full timeRole OverviewWe are looking for an experienced MLOps Lead with deep expertise in Azure and AWS cloud ecosystems, who can design, deploy, and manage scalable AI/ML infrastructure. The ideal candidate should bring a strong background in cloud governance, GenAI tooling, automation, and CI/CD pipelines, with hands-on experience across modern MLOps frameworks.Key...
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Mlops engineer
5 days ago
Delhi, India X4 Technology Full timeJob Title: MLOps EngineerJob Type: ContractLocation: Fully RemoteContract Length: 3-6 MonthsMLOps Engineer - Role & Responsibilities- Design, deploy and manage scalable & secure cloud infrastructure- Apply least privilege across cloud platforms (Azure, RBAC, AWS IAM)- Enable audit logging controls appropriate for Gen AI/ML workloads- Implement CI/CD for data...
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MLOps Engineer
7 days ago
New Delhi, India Meril Full timeMLOps Engineer | Nuvo AI / Meril Life Sciences (Vapi, Gujarat) We’re looking for a passionate and skilledMLOps Engineerto join our AI & Machine Learning Division atMeril Life Sciences , where innovation meets healthcare. If you’re excited about designing scalable machine learning pipelines, automating model deployments, and ensuring reliable ML systems...
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MLOps Engineer
7 days ago
New Delhi, India X4 Technology Full timeJob Title: MLOps EngineerJob Type: ContractLocation: Fully RemoteContract Length: 3-6 MonthsMLOps Engineer - Role & Responsibilities- Design, deploy and manage scalable & secure cloud infrastructure - Apply least privilege across cloud platforms (Azure, RBAC, AWS IAM) - Enable audit logging controls appropriate for GenAI/ML workloads - Implement CI/CD for...
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MLops Engineer
7 days ago
New Delhi, India Recro Full timeRole OverviewWe are looking for an experienced MLOps Lead with deep expertise in Azure and AWS cloud ecosystems, who can design, deploy, and manage scalable AI/ML infrastructure. The ideal candidate should bring a strong background in cloud governance, GenAI tooling, automation, and CI/CD pipelines, with hands-on experience across modern MLOps frameworks.Key...
