Key Responsibilities:
- Technical Delivery Modeling
- Lead end to end data science and machine learning project execution from discovery to deployment ready deliverables
- Design develop and evaluate ML models aligned to business objectives ensuring robust performance and generalization
- Perform data exploration feature engineering and model selection to improve predictive accuracy and reliability
- Establish model validation approaches track metrics and document assumptions limitations and outcomes
- Consulting Stakeholder Management
- Partner with stakeholders to translate business problems into analytical frameworks and measurable success criteria
- Communicate insights and model results clearly to technical and non technical audiences enabling decision making
- Drive solution recommendations with a focus on feasibility scalability and business impact
- Leadership Quality
- Provide technical guidance and mentorship to team members promoting strong engineering and modeling practices
- Review code experiments and outputs to ensure quality reproducibility and maintainability
- Contribute to reusable assets templates and best practices for consistent delivery across initiatives
- Minimum Qualifications
- UG education in Computers BTECH BSC BCA Computers must be included in UG
- 5 8 years of experience in Data Science Machine Learning and AI ML solution delivery
- Strong hands on experience with Python for data science workflows and model development
- Proven ability to build evaluate and improve ML models using sound statistical and analytical techniques
- Experience working with stakeholders to define problem statements success metrics and actionable outcomes
Technical Requirements:
- Technology AI Data science Machine Learning Technology AI Data science PYTHON
Additional Responsibilities:
- Experience leading teams or workstreams including mentoring technical reviews and delivery ownership
- Strong proficiency with Python data science ecosystem e
- g
- NumPy Pandas scikit learn and experiment tracking practices
- Exposure to deep learning or advanced ML techniques and frameworks e
- g
- TensorFlow PyTorch where applicable
- Ability to design scalable solution approaches and collaborate effectively in a hybrid work environment
- Strong documentation and communication skills to present insights trade offs and recommendations with clarity
Preferred Skills:
Technology->AI-Data science->Machine Learning,Technology->AI-Data science->PYTHON
