Description

You will design, train, and optimize ML and NLP models to solve complex business problems.

This role is hybrid.

Responsibilities

• Design and optimize ML/NLP models using PyTorch, Scikit-learn, and Transformer architectures.
• Clean, preprocess, and analyze large datasets using SQL and Python.
• Collaborate with engineers to integrate AI models into production systems.
• Deploy AI/ML solutions on cloud platforms including AWS, GCP, or Azure.
• Maintain awareness of advancements in NLP and ML frameworks.

Required Skills

• 1-3 years of experience in Data Science or NLP (freshers with strong NLP projects are welcome).
• Proficiency in Python programming.
• Experience with PyTorch, Scikit-learn, and NLP libraries including NLTK, SpaCy, and Hugging Face.
• Strong expertise in SQL for data manipulation and analysis.
• Experience with Big Data processing using Spark, Pandas, or Dask.
• Basic knowledge of cloud platforms such as AWS, GCP, or Azure.
• Familiarity with LLM frameworks.
• Knowledge of MLOps tools like Airflow or MLflow.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with Transformer models like BERT and GPT.

Key Skills

Education

Any Graduate