Posted today · be early
AI/ML Engineer (Databricks)
DysrupIT
IndiaremotePosted today
Skill Required
AI-ML-EngineerMachine-Learning-EngineerArtificial-Intelligence-EngineerData-EngineerMachine Learning EngineerAI EngineerDatabricksAIMachine LearningEngineeringGenerative AIScikit-learnStatisticsObservabilityLangChainPyTorchSparkTestNGPythonPandasMLflowAzureUnityCloudDesign PatternsRAGSQLAWSGCPandFulltime
Key highlights
- 3+ years of ML engineering experience
- Remote work arrangement
- Supplemental Health Insurance provided
- Requires hands-on Databricks platform experience
- Competitive compensation package
Role overview
DysrupIT is a leading global-based cloud services company supporting clients in their cloud adoption and transformation to as-a-Service business models. We are seeking an AI/ML Engineer to deliver production-grade AI/ML solutions on Databricks for enterprise clients, helping them move from notebook experimentation to reliable, governed, at-scale production systems.
Responsibilities
- Build and productionize feature pipelines and training/serving pipelines for ML and GenAI use cases, using MLflow for experiment tracking and model management.
- Support the delivery of Generative AI and agentic systems on Databricks, including data preparation for RAG pipelines, vector search integration, and AI/BI tooling such as Databricks Genie Spaces.
- Help stand up new AI use cases end to end on Databricks, from data preparation through to a working prototype, working alongside data scientists to move ideas from notebook to production.
- Build reusable Databricks templates and accelerators for common AI/ML use cases (RAG, agentic assistants, forecasting, personalisation), reducing time-to-development for new client engagements.
- 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, troubleshoot issues, and hand over documentation and runbooks.
Requirements
- 3+ years of experience as an ML Engineer or in a similar role, with meaningful hands-on time on the Databricks platform.
- Strong Python and PySpark skills, with the ability to write production-quality Spark jobs, not just notebooks.
- Practical experience delivering production Generative AI or agentic systems, including RAG architectures, LLM orchestration frameworks (e.g., LangChain, LangGraph), and AgentOps tooling (evaluation, monitoring, governance).
- Extensive hands-on industry data science and ML experience using common tools such as pandas, scikit-learn, and PyTorch.
- Background supporting large-scale consumer or enterprise ML systems (recommenders, ranking, forecasting, personalisation).
- Experience with MLflow or a comparable tool for experiment tracking, model registry, and model serving.
- Solid SQL skills and experience with cloud data platforms (Azure, AWS, or GCP).
Nice to have
- Azure Databricks experience.
- Practical experience with Delta Lake and lakehouse/medallion architecture patterns.
- Working knowledge of Unity Catalog or equivalent data governance and access-control tooling.
- Prior consulting or professional services experience in AI/ML delivery.
- Familiarity with experimentation and A/B testing pipelines built on Databricks.
- Databricks Certified Machine Learning Associate or Professional.
- Databricks Certified Generative AI Engineer Associate.
Benefits
- Competitive compensation package commensurate with experience
- Government-mandated benefits plus supplemental Health Insurance
- Collaborative and professional work environment
- Career growth opportunities within a growing organization
- Remote work arrangement
Additional details
- DysrupIT is dedicated to making a positive impact in the communities it serves.
- We invest in our employees and make sure that they will have the right training to secure their growth and advancement towards their career aspirations.
- Originally posted on Himalayas
