We are seeking a highly skilled Data Scientist to join our AI/LLM Delivery Unit, responsible for designing, developing, and delivering data-driven and AI-powered solutions for enterprise clients. This role combines strong analytical expertise, machine learning experience, and hands-on exposure to Large Language Models (LLMs) to support high-impact client engagements.
The ideal candidate will be both technically strong and client-facing, capable of translating business requirements into scalable AI solutions.
Key Responsibilities:
1. AI / Machine Learning Developmen
- tDesign, develop, and deploy machine learning models and data science solution
- sWork on LLM-based use cases such as prompt engineering, evaluation, fine-tuning, and model optimizatio
- nBuild and optimize pipelines for structured and unstructured data
2. LLM & Generative AI Solution
- sDevelop and evaluate applications using LLMs (e.g., text generation, classification, summarization, entity extraction
- )Conduct prompt engineering and experimentation to improve model output
- sSupport model benchmarking, testing, and performance evaluation
3. Data Analysis & Insight
- sAnalyze large datasets to extract actionable insights and pattern
- sPerform exploratory data analysis (EDA) and feature engineerin
- gBuild data visualizations and reports for stakeholders
4. Client Engagement / Deliver
- yParticipate in client-facing technical discussions and presentation
- sTranslate business requirements into AI/ML solutions and solution architecture
- sProvide consultative insights based on project learnings and industry trends
5. Collaboration & Delivery Excellence
- Work closely with cross-functional teams (engineering, QA, annotation, delivery leads)
- Support end-to-end project lifecycle: requirement gathering → development → deployment → monitoring
- Ensure quality, scalability, and reliability of AI deliverables
Qualifications
Education
- Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or related fie
- ldMaster's degree or PhD preferred, especially for advanced AI/ML roles
Experience
- 2–6+ years of experience in data science, machine learning, or AI solutions
- Experience working on AI/LLM or NLP-related projects is highly preferred
- Exposure to client-facing or delivery environments is a strong advantage
Technical Skills
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn
- Experience with ML frameworks (TensorFlow, PyTorch)
- Hands-on experience with LLMs / NLP tools (e.g., Hugging Face, OpenAI APIs, embeddings, RAG frameworks)
- Solid understanding of:Machine learning algorithms
- Data preprocessing and feature engineering
- Model evaluation and performance metrics
- Experience with SQL and large-scale datasets, Cloud platforms (AWS, Azure, or GCP)Version control (Git)
