Senior Data Scientist

Job Summary

Job Title: Data Scientist / AI Engineer / Prompt Engineer Experience: 7+ Years Location: Noida / Hyderabad Role Overview We are looking for a highly skilled Data Scientist / AI Engineer / Prompt Engineer with 7+ years of experience in AI/ML, Generative AI, and advanced analytics. The ideal candidate will work on building intelligent systems, LLM-based applications, and data-driven solutions, driving innovation across business use cases. Key Responsibilities Data Science & Machine Learning Design, build, and deploy machine learning models for predictive analytics, classification, and forecasting Perform data exploration, feature engineering, and statistical analysis Apply advanced techniques in ML, deep learning, and NLP Evaluate model performance and ensure accuracy, scalability, and robustness AI Engineering (LLMs & GenAI) Develop and deploy AI/ML solutions using modern frameworks and cloud platforms Build LLM-powered applications (chatbots, assistants, recommendation systems) Work with models such as OpenAI, Azure OpenAI, Hugging Face, or similar Implement RAG (Retrieval-Augmented Generation) pipelines Integrate AI models into production systems and APIs Prompt Engineering Design and optimize prompts for LLMs to improve output quality and accuracy Conduct prompt experimentation, evaluation, and fine-tuning Build reusable prompt frameworks, templates, and guardrails Work on AI safety, hallucination reduction, and response optimization Data Engineering & Integration Work with data teams to build data pipelines and feature stores Process structured and unstructured data at scale Integrate AI solutions with enterprise data systems MLOps & Deployment Build end-to-end ML pipelines (training, deployment, monitoring) Implement CI/CD pipelines for ML workflows Perform model monitoring, retraining, and performance tracking Required Skills & Qualifications Core Technical Skills Strong proficiency in: Python (mandatory) Libraries: Pandas, Num Py, Scikit-learn, Tensor Flow/Py Torch Experience in: Machine Learning & Statistical Modeling Natural Language Processing (NLP) Generative AI & LLMs Hands-on experience with: LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.) Prompt Engineering techniques RAG architectures and vector databases (FAISS, Pinecone, etc.) Understanding of: Tokenization, embeddings, fine-tuning, and evaluation metrics Cloud & Platforms Experience with: Azure / AWS / GCP Familiarity with: Databricks / MLflow / Azure ML / Sage Maker Data Engineering Strong knowledge of: SQL and data querying Data pipelines and ETL/ELT processes Exposure to big data tools (Spark, Hadoop) – preferred API & Integration Experience in: Building a

Key Responsibilities

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Skill Requirements

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Other Requirements

and consuming REST APIs

Deploying models using Flask / FastAPI

Tools & Technologies:

Version control: Git / GitHub / Bitbucket

MLOps tools: MLflow, Kubeflow, Airflow

Containers: Docker (preferred)

Leadership & Collaboration:

Ability to work cross-functionally with data engineers, product teams, and business stakeholders

Experience mentoring junior team members

Strong ability to translate business problems into AI/ML solutions

Soft Skills:

Strong analytical and problem-solving mindset

Excellent communication and storytelling with data

Innovation-driven thinking and adaptability

Ability to work in a fast-paced environment

Education:

Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field

Preferred Qualifications:

Experience with enterprise AI/ML implementations

Exposure to AI governance, responsible AI, and ethics

Knowledge of multi-modal AI (text, image, audio models)

Certifications in:

AI/ML or Cloud platforms (Azure/AWS/GCP)

Why Join Us:

Work on cutting-edge Generative AI and LLM-based solutions

Opportunity to build next-gen AI products and platforms

Collaborative and innovation-driven environment