Sr. Data Scientist - AI/ML Job

Key Responsibilities

• Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI.
• Develop data strategies including preprocessing, feature engineering, and scalable data pipelines.
• Apply MLOps best practices for model development, deployment, and monitoring.
• Collaborate with stakeholders to understand business problems and define data-driven solutions.
• Stay current with the latest advancements in AI/ML and evaluate their potential applications.
• Ensure models are explainable, ethical, and compliant with regulatory requirements.

Primary (Must-Have) Skills

• Strong foundation in Mathematics, Statistics, and Machine Learning theory.
• Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers).
• Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive).
• Strong knowledge of SQL and building data pipelines.
• Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform).
• Hands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot).
• Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring).

Secondary (Good-to-Have) Skills

• Programming experience in Java/Scala/R.
• Familiarity with web/backend integration (REST APIs, Django, FastAPI, Spring Boot).
• Knowledge of data governance, ethics, and compliance in AI.
• Strong business acumen and ability to translate insights into strategies.
• Excellent communication and collaboration skills.

Qualifications

• Bachelor’s/Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field.
• 4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments.