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Urgent! Grid Dynamics - Staff Engineer - MLOps Job Opening In Hyderabad – Now Hiring GRID DYNAMICS PRIVATE LIMITED

Grid Dynamics Staff Engineer MLOps



Job description

<p><p><b>Job Role : </b> Lead MLOps Engineer<br/><br/><b>Location : </b> : </b>7+ Years<br/><br/><b>Roles & Responsibilities : </b><br/><br/>- Chunking (primarily focused on VectorDB storage).<br/><br/>- Document Parsing and OCR<br/><br/>- Document Parsing with VLMs (Vision Language Models)<br/><br/>- Function Calling with LLMs<br/><br/>- Retrieval Augmented Generation<br/><br/>- Traditional Search (BM25, NER based parsers, Keyword based search index)<br/><br/>- Semantic Search (Embeddings, Embedding models)<br/><br/>- Fine Tuning using LoRA<br/><br/>- Merging multiple LoRA adapters using MergeKit<br/><br/>- Quantising LLMs<br/><br/>- Prompt Engineering techniques<br/><br/>- 4+ years with Azure (ML pipeline components), Azure Databricks, Azure DevOps.<br/><br/>- Proven experience of design and deployment of end-to-end ML pipelines.<br/><br/>- Experience with building infrastructure for classic DS models and/or LLM/SLMs.<br/><br/>- 4+ years with orchestration (e., Kubeflow, Airflow, Azure Data Factory) and CI/CD for ML.<br/><br/>- Experience deploying containerized ML solutions (e., Docker/Kubernetes).<br/><br/>- Knowledge of model and data versioning (e., MLflow, DVC).<br/><br/>- Knowledge of MLSecOps (security in the context of MLOps)<br/><br/>- Experience with Infrastructure as a Code (e., Terraform, CloudFormation).<br/><br/>- Knowledge of MLOps for LLM/SLM<br/><br/>- Experience in ML system/architecture design (load balancing, caching, failover).<br/><br/>- Knowledge in building scalable, resilient ML architectures.<br/><br/>- Cross-team collaboration experience (data science, engineering, DevOps).<br/><br/>- Experience with monitoring/logging for production models (e., Prometheus, Grafana, ELK stack).<br/><br/><b>Qualifications : </b><br/><br/>- 7+ years in ML Ops / DevOps / data engineering<br/><br/>- Strong Python skills, plus experience with MLflow, Kubeflow, or Airflow<br/><br/>- Hands-on with Docker, Kubernetes, and cloud platforms<br/><br/>- Knowledge of data and model versioning tools (e., DVC, MLflow)<br/><br/><b>We offer : </b><br/><br/>- Opportunity to work on bleeding-edge projects<br/><br/>- Work with a highly motivated and dedicated team<br/><br/>- Competitive salary<br/><br/>- Flexible schedule<br/><br/>- Benefits package - medical insurance, sports<br/><br/>- Corporate social events<br/><br/>- Professional development opportunities<br/><br/>- Well-equipped office<br/></p><br/></p> (ref:hirist.tech)


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