Senior/Lead Data Scientist - Machine Learning/Deep Learning

About the Opportunity :

We are looking for an exceptional Senior / Lead Data Scientist with expertise in Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI (LLMs) to design and deploy AI-driven solutions at scale.

This role offers the opportunity to work on cutting-edge GenAI use cases from building intelligent assistants and automated content generation systems to deploying enterprise-grade AI models across industries.

You will combine strong technical depth in Python, R, Spark, and cloud ML services with a research-oriented mindset and the ability to translate abstract problems into tangible business outcomes.

This role bridges AI innovation and production-grade deployment, contributing directly to the companys data science roadmap and transformation journey.

What Youll Do :

- Design, develop, and deploy machine learning, deep learning, and natural language processing models across diverse business use cases.

- Architect and implement Generative AI (GenAI) solutions leveraging LLMs (GPT, BERT, LLaMA, Claude, Gemini) for domain-specific tasks.

- Build, fine-tune, and evaluate large language models for text summarization, question answering, semantic search, and prompt engineering.

- Perform feature engineering, model training, and hyperparameter optimization for predictive analytics and AI solutions.

- Collaborate with engineering and DevOps teams to operationalize models using MLOps frameworks (MLflow, Kubeflow, Vertex AI, or Azure ML).

- Develop and automate ETL and data processing pipelines in Python, R, or Spark for large-scale datasets.

- Apply statistical modeling, hypothesis testing, and causal inference to derive actionable insights.

- Implement data visualization and storytelling dashboards using Power BI, Tableau, or Plotly.

- Work with cloud AI services (Azure ML, AWS Sagemaker, GCP Vertex AI) for scalable model deployment and experimentation.

- Collaborate cross-functionally with business leaders, analysts, and product teams to define and prioritize AI-driven opportunities.

- Document model development, experimentation, and validation for reproducibility and compliance.

What You Bring :

- 2 to 12 years of experience in Data Science, Machine Learning, or AI Research with hands-on production experience.

- Proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) or R for model development and analytics.

- Strong understanding of LLMs, transformer architectures, and prompt engineering for Generative AI applications.

- Hands-on experience in NLP, text analytics, and semantic modeling.

- Expertise in statistical modeling, predictive analytics, and data mining.

- Practical experience with Spark or other distributed data processing frameworks.

- Knowledge of MLOps, including model deployment, monitoring, and lifecycle management.

- Familiarity with cloud-based AI environments Azure ML, AWS Sagemaker, or GCP Vertex AI.

- Strong problem-solving skills with the ability to work independently and in teams.

- Excellent communication, documentation, and stakeholder engagement skills.

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related technical discipline.

Preferred Skills :

- Experience with Retrieval-Augmented Generation (RAG), vector databases (FAISS, Pinecone, Weaviate), and knowledge graph embeddings.

- Research exposure to multi-modal AI, vision-language models, or reinforcement learning.

- Familiarity with data governance, AI ethics, and responsible AI practices.

- Hands-on experience building end-to-end GenAI prototypes integrated into business workflows or chat-based interfaces.

- Published work or participation in AI/ML research conferences or open-source projects.

Why Join Us :

This is an opportunity to be part of an elite data science team driving AI innovation and applied intelligence across industries.

As a Senior or Lead Data Scientist, youll architect intelligent solutions that leverage large language models, deep learning frameworks, and MLOps practices to deliver measurable business impact.

Youll operate in an environment that values research-led experimentation, technical autonomy, and collaborative innovation.

Whether developing next-generation GenAI applications or optimizing ML pipelines at scale, youll play a defining role in shaping how organizations harness the power of AI to transform the way they work, decide, and grow

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