Data Scientist | Remote

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 Development

• Design, develop, and deploy machine learning models and data science solutions

• Work on LLM-based use cases such as prompt engineering, evaluation, fine-tuning, and model optimization

• Build and optimize pipelines for structured and unstructured data

2. LLM & Generative AI Solutions

• Develop and evaluate applications using LLMs (e.g., text generation, classification, summarization, entity extraction)

• Conduct prompt engineering and experimentation to improve model outputs

• Support model benchmarking, testing, and performance evaluation

3. Data Analysis & Insights

• Analyze large datasets to extract actionable insights and patterns

• Perform exploratory data analysis (EDA) and feature engineering

• Build data visualizations and reports for stakeholders

4. Client Engagement / Delivery

• Participate in client-facing technical discussions and presentations

• Translate business requirements into AI/ML solutions and solution architectures

• Provide 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 field

• Master’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)