Senior Data Scientist (AI & ML)

• Design, develop, deploy, and maintain scalable AI/ML models using Python and frameworks like Django/Flask.
• Build and optimize data pipelines and APIs to integrate machine learning models into production systems.
• Work across multiple AI domains including NLP, Computer Vision, and Generative AI to deliver impactful solutions.
• Perform data preprocessing, feature engineering, model training, hyperparameter tuning, and performance evaluation.
• Collaborate with engineering, product, and business teams to drive AI product development and insights.
• Implement MLOps best practices for automation, reproducibility, and scalability using Docker, MLflow, Kubernetes, and Azure.
• Develop and maintain robust CI/CD workflows for ML systems.
• Document model architectures, experiments, and deployment processes; maintain version control (Git).
  

Required Qualifications

• 5–10 years of hands-on experience in AI/ML development and deployment.
• Strong proficiency in Python and experience with web frameworks (Django/Flask).
• Deep expertise in Machine Learning, Deep Learning, NLP, and Computer Vision using TensorFlow/PyTorch and scikit-learn.
• Experience with Generative AI, LangChain, RAG, and LLMs is a strong plus.
• Strong knowledge of SQL/NoSQL databases, REST API development, and data visualization tools (Power BI/Tableau).
• Hands-on experience with MLOps/DevOps tools such as Docker, Kubernetes, MLflow, Git, and Azure cloud services.
• Excellent analytical, problem-solving, and communication skills.
• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field (Master’s preferred).
  

Preferred Skills

• Experience in building scalable microservices and cloud-native AI solutions.
• Familiarity with data engineering tools (Apache Spark, Airflow) is a plus.
• Knowledge of monitoring and logging tools for ML systems.
• Publications, open-source contributions, or a strong portfolio of AI projects.