Description

You will design and implement advanced machine learning, deep learning, and AI models across NLP, computer vision, recommendation systems, and generative AI.

Responsibilities

• Develop data strategies covering preprocessing, feature engineering, and scalable data pipelines.
• Apply MLOps best practices for model development, deployment, and monitoring.
• Collaborate with stakeholders to define data-driven solutions for business problems.
• Ensure models are explainable, ethical, and compliant with regulatory requirements.

Required Skills

• Strong foundation in Mathematics, Statistics, and Machine Learning theory.
• Proficiency in Python and ML frameworks (sci-kit-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).

Preferred Skills

• Programming experience in Java/Scala/R.
• Knowledge of data governance, ethics, and compliance in AI.

Key Skills

Education

Bachelor’s/Master’s/PhD