Job description
Envision Employment Solutions is currently hiring a Senior Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary: We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications.
The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
Responsibilities: Machine Learning & NLP Development Design and develop end-to-end machine learning models, with a strong focus on NLP applications Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions Develop and optimize transformer-based models for summarization, Q&A, and document intelligence tasks Evaluate and optimize prompt engineering strategies and context efficiency Data Engineering & Pipelines Develop data pipelines using tools such as Airflow, Spark, or Dataiku Perform data wrangling and preprocessing using pandas and NumPy Design and manage feature stores Integrate and manage vector databases such as Pinecone, FAISS, or Chroma Model Deployment & Production Build and maintain RESTful APIs for serving ML models in production Deploy scalable AI services and manage CI/CD pipelines Monitor model performance, drift detection, and lifecycle management Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME Statistical & Analytical Expertise Apply advanced statistics, probability theory, and experimental design Conduct hypothesis testing and data-driven analysis to support business decisions Collaboration & Integration Work closely with product and engineering teams to embed AI solutions into production systems Collaborate with cross-functional stakeholders to deliver scalable AI capabilities Benefits & Work Setup Basic salary Family Medical Insurance Round-trip family flight tickets once per year Visa coverage Location: Dubai Work Model: Hybrid – 2 days in the office and 3 days remote.
If assigned to a project, you may be required to work from the client’s premises on a daily basis, depending on the project requirements.
Working Hours: 9 AM to 6 PM Days Off: Saturdays and Sundays Qualifications: Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or related field Minimum 4 years of experience in machine learning and data science roles Proven track record of delivering production-grade ML and NLP projects Experience leading small data science teams or technical workstreams Technical Requirements Strong programming skills in Python and R Proficiency in ML libraries including Scikit-learn, pandas, and NumPy Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers Strong expertise in transformer architectures and LLM fine-tuning Experience using LangChain or LlamaIndex for orchestration Experience deploying ML models via RESTful APIs Knowledge of model monitoring, explainability, and performance optimization Leadership and Soft Skills Ability to lead small teams or project workstreams Strong ownership mindset with focus on quality and delivery timelines Ensures alignment of technical work with business KPIs Coaches and mentors mid-level team members Strong problem-solving and collaboration skills
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