Data Scientist

Educational Qualifications:

• B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
• A masters degree in Computer Science, Artificial Intelligence, or a specialization in Deep Learning or Natural Language Processing is highly preferred.

Experience:

• 4 - 7 years of IT experience, with a minimum of 3+ years in data science.
• Proven experience in designing, pretraining, and fine-tuning large-scale deep learning models, including Large Language Models (LLMs) for NLP tasks such as text generation, summarization, and question answering.

Technical Skills:

• Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.
• Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.
• Proficiency in data preprocessing, augmentation, and handling large-scale datasets (text, image, or multimodal).
• Solid understanding of transformer architectures (e.g., BERT, GPT, LLaMA) and techniques for pretraining and fine-tuning LLMs.
• Knowledge of prompt engineering, parameter-efficient fine-tuning (LoRA, adapters), and evaluation of generative models.
• Exposure to computer vision or multimodal models is a plus.

Cloud & Infrastructure:

• Strong expertise in Azure cloud ecosystem.
• Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication skillsinterpersonal, written, visual (presentations), and verbal.
• Ability to collaborate effectively across cross-functional teams and mentor junior team members.