AI/ML Engineer, Databricks

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🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 14%

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DysrupIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Enterprise • SaaS • Cybersecurity

DysrupIT is a global cloud services and IT solutions firm that helps organizations adopt cloud technologies and transition to as-a-Service business models. The company provides enterprise cloud, managed services, application engineering, cybersecurity, and data analytics & information management, serving SMBs through multinational enterprises with Microsoft and other cloud platforms. DysrupIT also emphasizes community impact, talent development, and long-term partnerships to deliver secure, scalable, and business-aligned technology outcomes.

📋 Description

• Build and productionize feature pipelines and training/serving pipelines for ML and GenAI use cases using MLflow • Support delivery of Generative AI and agentic systems on Databricks, including data preparation for RAG pipelines, vector search integration, and Databricks Genie Spaces • Stand up new AI use cases end to end on Databricks, from data preparation through working prototype • Work alongside data scientists to move ideas from notebooks to production • Build reusable Databricks templates and accelerators for RAG, agentic assistants, forecasting, and personalisation use cases • Optimize Databricks jobs, clusters, and workflows for cost, performance, and reliability at production scale • Work directly with client engineering teams and stakeholders to gather requirements and troubleshoot issues • Hand over documentation and runbooks

🎯 Requirements

• 3+ years of experience as an ML Engineer or in a similar role • Meaningful hands-on experience on the Databricks platform • Strong Python and PySpark skills • Ability to write production-quality Spark jobs, not just notebooks • Practical experience delivering production Generative AI or agentic systems • Experience with RAG architectures, LLM orchestration frameworks such as LangChain or LangGraph, and AgentOps tooling • Extensive hands-on industry data science and ML experience using pandas, scikit-learn, and PyTorch • Background supporting large-scale consumer or enterprise ML systems, including recommenders, ranking, forecasting, or personalisation • Experience with MLflow or a comparable tool for experiment tracking, model registry, and model serving • Solid SQL skills • Experience with cloud data platforms such as Azure, AWS, or GCP • Comfortable working directly with clients or cross-functional stakeholders to scope and deliver technical work • Practical experience with Delta Lake and lakehouse/medallion architecture patterns preferred • Working knowledge of Unity Catalog or equivalent data governance and access-control tooling preferred • Prior consulting or professional services experience in AI/ML delivery preferred • Familiarity with experimentation and A/B testing pipelines built on Databricks preferred • Exposure to causal inference or applied statistics preferred • Databricks Certified Machine Learning Associate or Professional preferred • Databricks Certified Generative AI Engineer Associate preferred

🏖️ Benefits

• Government-mandated benefits plus supplemental Health Insurance • Collaborative and professional work environment • Career growth opportunities within a growing organization • Remote work arrangement • Training to support employee growth and career advancement

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