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)
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