Sr /lead Data Scientist

Aptus Data Labs; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading data science company in Bengaluru is looking for a Senior/Lead Data Scientist to design, develop, and implement advanced AI-driven solutions. The ideal candidate should have over 6 years of experience in AI/ML, strong proficiency in programming, and the ability to lead projects and teams. This role offers an opportunity to work on cutting-edge technologies in a collaborative environment.

Qualifications

• 6+ years of experience in Data Science, AI/ML, and related fields.
• Strong proficiency in Python, R, or similar languages.
• Proven experience in designing and deploying ML/DL models.
• Deep knowledge of NLP techniques.
• Hands-on exposure to Generative AI.
• Strong knowledge of cloud platforms.

Responsibilities

• Design, develop, and deploy end-to-end machine learning models.
• Apply advanced deep learning architectures.
• Develop and fine-tune NLP models for various tasks.
• Implement Generative AI to enhance capabilities.
• Collaborate with stakeholders to translate requirements.
• Lead and mentor junior data scientists.

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Deep Learning

Natural Language Processing (NLP)

Python

R

Data Science Libraries

Cloud Platforms

MLOps Practices

Problem-solving

Education

Master’s/PhD in Computer Science

Tools

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Hugging Face

AWS

Azure

GCP

Job description

Senior/Lead Data Scientist

Experience- 6-10 yrs

Employment Type: Full-time

About the Role

We are seeking a highly skilled Senior /lead Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). The ideal candidate will also have hands-on exposure to Generative AI (GenAI) and the ability to design, implement, and optimize advanced AI-driven solutions for real-world business problems.

This role requires both technical depth and strategic thinking, with an ability to lead projects, collaborate with cross-functional teams, and deliver scalable, impactful AI solutions.

Key Responsibilities

• Design, develop, and deploy end-to-end machine learning and AI models for diverse business use cases.
• Apply advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solving complex problems in vision, text, and structured/unstructured data.
• Develop and fine-tune NLP models for text classification, sentiment analysis, information extraction, conversational AI, and semantic search.
• Explore and implement Generative AI (LLMs, diffusion models, prompt engineering, fine-tuning, RAG pipelines, etc.) to enhance existing AI/ML capabilities.
• Collaborate with product, engineering, and business stakeholders to translate requirements into AI-driven solutions.
• Lead and mentor junior data scientists, providing technical guidance and best practices.
• Stay up to date with emerging AI/ML and GenAI frameworks, tools, and research trends.

Required Skills & Experience

• Having 6+ years of experience in Data Science, AI/ML, and related fields.
• Strong proficiency in Python, R, or similar languages with expertise in data science libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Hugging Face).
• Proven experience in designing and deploying ML/DL models in production.
• Deep knowledge of NLP techniques: embeddings, Transformers, BERT/GPT-style models, seq2seq, text generation, entity recognition.
• Hands-on exposure to Generative AI (e.g., OpenAI, Hugging Face, LangChain, vector databases, RAG, LLM fine-tuning).
• Strong knowledge of cloud platforms (AWS, Azure, GCP) for ML/AI model deployment.
• Solid understanding of MLOps practices (model versioning, monitoring, CI/CD pipelines).
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

• Master’s/PhD in Computer Science, Data Science, AI/ML, Statistics, or a related field.
• Knowledge of big data tools (Spark, Databricks, Hadoop) is a plus.
• Experience mentoring or leading a small data science team.