Hiring: Senior Data Scientist / GenAI Engineer
Experience: 512 Years
Domain: Data Science | GenAI | AI/ML
Employment Type: Full-time
Role Overview
We are looking for an experienced Data Science & GenAI professional with strong expertise in AI/ML, Large Language Models (LLMs), RAG architectures, and Cloud platforms. The ideal candidate will have a strong analytical mindset, hands-on model development experience, and the ability to translate business problems into scalable AI solutions.
Mandatory Skills
- Data Science & AI/ML
- Generative AI (GenAI)
- Python
- RAG (Retrieval Augmented Generation)
- NLP / LLMs
- Cloud Platforms: Azure / AWS / GCP (any one)
- Vector Databases
- Model Training, Inference & Deployment
Secondary / Good-to-Have Skills (Any)
- Machine Learning & Deep Learning
- ChatGPT, LangChain, Prompt Engineering
- Vector Stores, LLaMA, Transformers
- Computer Vision, OCR
- Regression, Classification, Forecasting
- Hyperparameter Tuning
- MLOps & Model Monitoring
Key Responsibilities
- Design, develop, and deploy AI/ML and GenAI solutions for real-world business problems
- Build and optimize RAG-based applications using LLMs and vector databases
- Work with structured and unstructured data for NLP, NLG, and LLM use cases
- Develop, train, fine-tune, and deploy ML/DL models at scale
- Collaborate with cross-functional teams in a fast-paced agile environment
- Ensure best practices in model performance, scalability, and governance
Technical Expertise
- Strong understanding of ML algorithms: GPTs, CNN, RNN, SVM, Naive Bayes, k-NN, Decision Forests
- Hands-on experience with TensorFlow, Keras, PyTorch, Pandas, NumPy (deep expertise in at least one)
- Experience with NLP, NLG, and LLMs such as BERT, LLaMA, GPT, PaLM, BLOOM, LaMDA, DALLE
- Proficiency in SQL & Python (Scala/Java/C++ is a plus)
- Experience with Big Data & Cloud AI services:
- AWS SageMaker, Azure Cognitive Services, Google Colab
- Hadoop, PySpark, Hive, AWS EMR
- Knowledge of NoSQL & Vector Databases: MongoDB, Cassandra, HBase, etc.
- Exposure to BI tools: Tableau, Power BI
Analytical & Soft Skills
- Strong foundation in statistics, algebra, and applied mathematics
- Excellent problem-solving and analytical thinking
- Strong business acumen with a data-driven mindset
- Excellent communication and presentation skills
Ideal Candidate
- Data-oriented professional with end-to-end AI solution experience
- Comfortable working in fast-paced, collaborative environments
- Passionate about GenAI, LLMs, and modern AI architectures
Interested candidates can share their resume or reach out directly at [Confidential Information]
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