Data Scientist

Job Title: Data Scientist
Location: Remote
Experience: 5+ years
Job Type: Contractual
Duration: 6 Months

About the Role

We are seeking a highly skilled and innovative Data Scientist to join our forward-thinking team. The ideal candidate will be passionate about Classical Machine Learning, Conversational AI, and Deep Learning Systems, with a strong ability to translate complex mathematical challenges into scalable ML/AI solutions. You will design, develop, and optimize cutting-edge AI-based systems, with a particular focus on NLP and Large Language Models (LLMs), ensuring seamless and engaging user experiences.

Key Responsibilities

• Generative AI Solutions: Design and develop advanced AI solutions using GANs, VAEs, Transformers, and other state-of-the-art models.
• Classical ML Models: Build and optimize models such as regression, decision trees, SVMs, random forests, clustering, and gradient boosting to solve diverse business problems.
• Deep Learning Systems: Train, fine-tune, and deploy CNNs, RNNs, LSTMs, GANs, and Transformers to deliver high-performing solutions.
• NLP & LLM Optimization: Work on NLP tasks and prompt engineering to refine outcomes for LLMs (e.g., GPT, BERT, T5).
• Data Management & Feature Engineering: Process, augment, and engineer features from structured and unstructured datasets.
• Model Evaluation & Monitoring: Perform hyperparameter tuning (grid/random/Bayesian optimization), track model drift, and ensure fairness, robustness, and accuracy.
• Code & System Design Reviews: Participate in reviews to ensure scalable, efficient, and maintainable AI/ML architecture.
• Collaboration & Research: Partner with cross-functional teams and stay updated with the latest advancements in AI/ML to bring innovation into production systems.

Qualifications

• Education: Bachelor’s or Master’s in Computer Science, Data Science, Mathematics, Statistics, or related fields.
• ML/DL Expertise: Hands-on experience in classical ML techniques and deep learning systems with frameworks like TensorFlow, PyTorch, or Keras.
• NLP Expertise: Proven experience with NLP and LLMs (GPT, BERT, T5, etc.), including prompt engineering and fine-tuning.
• Programming: Strong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, Hugging Face Transformers, NLTK, or SpaCy.
• Math & Statistics: Solid foundation in probability, statistics, and optimization techniques.
• Deployment & MLOps: Experience deploying ML models into production (AWS SageMaker, Azure ML, GCP AI, or similar). Familiarity with MLOps pipelines is a plus.
• System Design: Understanding of distributed systems, parallel processing, and scalable architectures.

Soft Skills & Behavioral Attributes

• Strong team player with excellent communication skills.
• Self-motivated with ownership of responsibilities and outcomes.
• Detail-oriented with strong presentation skills.
• High level of reliability, integrity, and trustworthiness.
• Ability to manage time effectively and meet/exceed deadlines.
• Fast learner with a strong aptitude for exploring new technologies.

Why Join Us?

• Work on cutting-edge AI/ML and NLP projects with real-world impact.
• Collaborative, research-driven, and growth-oriented environment.
• Opportunity to experiment with LLMs, Generative AI, and advanced deep learning systems.
• Competitive compensation and career growth opportunities.

Job Type: Contractual / Temporary
Contract length: 3 months

Pay: ₹840,000.00 - ₹960,000.00 per year

Education:

• Bachelor's (Required)

Experience:

• ML: 5 years (Required)
• AI: 5 years (Required)
• Data science: 5 years (Required)
• NHM: 5 years (Required)

Work Location: Remote