Senior Data Science Lead

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Data Science & AI/ML Job Description

Job Title: Data Scientist / AI-ML Engineer

Job Summary: We are seeking a talented and analytical Data Scientist / AI-ML Engineer to develop, deploy, and optimize machine learning models and data-driven solutions. The candidate will work with large datasets, build predictive models, develop AI applications, and provide actionable insights to support business objectives.

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources.
• Develop, train, and deploy Machine Learning (ML) and Deep Learning models.
• Build predictive analytics solutions for business problems.
• Design and implement AI solutions using NLP, Computer Vision, Generative AI, and Recommendation Systems.
• Perform data exploration, feature engineering, and model evaluation.
• Develop data pipelines and automate model training workflows.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Monitor model performance and implement improvements as required.
• Prepare reports, dashboards, and visualizations to communicate insights.
• Stay updated with emerging AI/ML technologies, tools, and industry best practices.

Required Skills

Technical Skills

• Programming: Python, R, SQL
• Machine Learning: Regression, Classification, Clustering, Time Series Forecasting
• Deep Learning: TensorFlow, PyTorch, Keras
• Data Analysis: Pandas, NumPy, Scikit-learn
• Data Visualization: Power BI, Tableau, Matplotlib, Seaborn
• Big Data Technologies: Spark, Hadoop (preferred)
• Cloud Platforms: Azure, AWS, or Google Cloud
• MLOps: Docker, Kubernetes, MLflow, CI/CD
• Generative AI: LLMs, Prompt Engineering, RAG, LangChain (preferred)

Soft Skills

• Strong analytical and problem-solving skills
• Effective communication and presentation skills
• Stakeholder management
• Team collaboration and project execution
• Ability to translate business requirements into technical solutions

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field.
• 2-8+ years of experience in Data Science, Machine Learning, or AI development.
• Experience in deploying machine learning models into production environments.
• Knowledge of statistical analysis and data modeling techniques.

Preferred Certifications

• Microsoft Certified: Azure Data Scientist Associate
• Azure AI Engineer Associate
• AWS Machine Learning Specialty
• Google Professional Machine Learning Engineer
• Databricks Machine Learning Certification