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Website:
mindtelligent.com
Job details:
Data Scientist – Databricks / AI / ML (Remote – India)About Mindtelligent
Mindtelligent is a technology consulting and AI engineering company focused on building modern data platforms, AI/ML solutions, cloud-native integrations, and enterprise automation solutions across healthcare, insurance, financial services, manufacturing, and retail industries.
We specialize in:
- Databricks Lakehouse Platform
- AI/ML and Generative AI Solutions
- AWS Cloud Engineering
- Real-time Data Engineering
- Enterprise Integration and Modernization
- Agentic AI and Intelligent Automation
We are looking for a highly motivated Data Scientist with strong Databricks expertise to join our growing AI and Data Engineering practice.
Position: Data Scientist – Databricks / AI / ML
Location: India (Remote)
Employment Type: Full-Time / Contract
Experience: 5+ Years
Shift: Flexible overlap with US teams preferred
Role Overview
We are seeking a hands-on Data Scientist who can work closely with Data Engineers, Architects, and Business Stakeholders to build scalable AI/ML solutions on the Databricks Lakehouse Platform.
The ideal candidate should have strong expertise in:
- Machine Learning
- Databricks
- PySpark
- Data Engineering concepts
- MLOps
- Generative AI
- Real-time and batch analytics
This role involves building enterprise-grade AI solutions, predictive models, intelligent data pipelines, and GenAI-powered applications using modern cloud-native technologies.
Responsibilities
- Design and develop Machine Learning and AI solutions using Databricks
- Build scalable ML pipelines using PySpark and Databricks notebooks
- Develop predictive analytics, forecasting, classification, clustering, and recommendation models
- Work with structured and unstructured datasets at enterprise scale
- Build and optimize feature engineering pipelines
- Implement MLOps pipelines using MLflow, Model Registry, and CI/CD
- Develop GenAI and RAG-based solutions using LLMs and Vector Search
- Work with Delta Lake, Unity Catalog, and Lakehouse architecture
- Collaborate with Data Engineering teams for ingestion and transformation workflows
- Build dashboards, insights, and analytical solutions for business teams
- Optimize model performance, scalability, and inference workloads
- Participate in architecture discussions and technical solution design
- Create technical documentation and best practices
Required Skills
- Strong experience with Databricks
- Strong Python and PySpark programming skills
- Experience with Machine Learning frameworks:
- Scikit-learn
- TensorFlow
- PyTorch
- XGBoost
- Experience with SQL and large-scale data processing
- Strong understanding of statistics and predictive modeling
- Experience with Delta Lake and Spark optimization
- Experience with MLflow and MLOps
- Experience working with AWS cloud services
- Experience building ETL/ELT pipelines
- Familiarity with REST APIs and microservices
- Knowledge of data governance and security best practices
Preferred Skills
- Experience with Generative AI and LLMs
- Experience with Vector Databases and RAG architectures
- Experience with:
- AWS
- Kafka
- Snowflake
- Power BI
- Airflow
- Docker
- Kubernetes
- Experience with healthcare, insurance, or financial services data
- Knowledge of Unity Catalog and data governance
- Experience with real-time streaming pipelines
Education
- Bachelor’s or Master’s degree in:
- Computer Science
- Data Science
- Engineering
- Statistics
- Mathematics
- AI/ML-related fields
Why Join Mindtelligent?
- Work on cutting-edge AI/ML and Databricks projects
- Fully remote and flexible work culture
- Opportunity to work directly with enterprise clients
- Exposure to GenAI, Agentic AI, and modern Lakehouse architectures
- Fast-growing AI-focused consulting organization
- Opportunity to influence architecture and innovation initiatives
How to Apply
Please send your resume and LinkedIn profile to:
📧 hSaluja@mindtelligent.ai
Subject Line:
Application – Data Scientist (Databricks / AI / ML)
Click on Apply to know more.