About the Role
We are looking for an experienced Senior Data Scientist with strong expertise in Machine Learning, MLOps, and time series forecasting. The ideal candidate should have hands-on experience building, deploying, tracking, and optimizing machine learning models using Python, MLflow, Databricks, and Azure cloud technologies. This is a part-time, fully remote opportunity for professionals who can deliver scalable, reliable, and data-driven ML solutions.

Key Responsibilities
• Develop, train, evaluate, and optimize machine learning models using Python.
• Build predictive models using XGBoost, Decision Trees, and other supervised learning algorithms.
• Develop LSTM-based models and implement time series forecasting solutions.
• Implement MLOps workflows for experiment tracking, model versioning, deployment, and monitoring using MLflow.
• Work with Databricks for large-scale data processing, model development, and experimentation.
• Write efficient SQL queries for data extraction, transformation, and analysis.
• Integrate machine learning workflows with Azure Data Lake and Azure DevOps CI/CD pipelines.
• Monitor model performance, detect data/model drift, and improve model reliability.




• Collaborate with stakeholders to translate business requirements into practical ML solutions. Required Skills
• Strong hands-on experience in Machine Learning and Predictive Analytics.
• Advanced Python programming and SQL skills.
• Practical experience with MLOps and MLflow.
• Expertise in XGBoost, Decision Trees, and model evaluation techniques.
• Experience with LSTM networks and time series forecasting.
• Working knowledge of Databricks and distributed data processing.
• Experience with Azure Data Lake and Azure DevOps.
• Understanding of model deployment, monitoring, versioning, and CI/CD practices. Preferred Qualifications
• Experience deploying production-grade machine learning solutions.
• Familiarity with cloud-based ML pipelines and automated model retraining.
• Strong analytical, problem-solving, and communication skills. Opportunity Details
• Part-time, fully remote engagement.
• Contract-based opportunity.
• Adaptable working arrangement with agreed deliverables and timelines. Interested candidates: Apply through LinkedIn with your updated resume highlighting relevant Machine Learning, MLOps, and forecasting experience.

📌 Freelance Senior Data Scientist – Machine Learning (India)
🏢 IndiTech Consulting
📍 India