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, NumPy, Scikit-learn, TensorFlow/PyTorch  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 / SageMaker  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

Skill Requirements

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