Senior Research Scientist

• Lead research and development of GenAI models and services, with a focus on real-world applications.
• Rapidly prototype and validate experimental approaches to assess feasibility and effectiveness.
• Act as a technical reference and mentor for other team members, providing guidance on best practices, architecture, and model development.
• Translate complex business requirements into clear, actionable research tasks and technical objectives.
• Design and implement robust data pipelines to support large-scale AI/ML experimentation and deployment.
• Collaborate with cross-functional teams including ML engineers, data scientists, and product managers to define research goals and translate them into deliverables.
• Conduct rigorous experimentation, benchmarking, and evaluation of GenAI models (e.g., LLMs, diffusion models).
• Stay abreast of the latest research in GenAI, NLP, and machine learning, and apply findings to improve model performance and capabilities.
• Develop high-quality, maintainable Python code for research prototypes and production systems.
• Contribute to the publication of research findings in top-tier conferences and journals (optional but encouraged).
• Support the deployment of GenAI services on cloud platforms, preferably Azure.

• Bachelor's or master's degree in computer science, Data Science, Machine Learning, or related field.
• 5+ years of professional experience in AI/ML development, with a strong focus on NLP, generative AI, and vector search.
• Strong proficiency in Python programming, with hands-on experience using libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.
• Deep understanding of machine learning fundamentals, including deep learning, optimization techniques, generative AI, NLP, LLMs, and Retrieval-Augmented Generation (RAG).
• Expertise in transformer-based models and embeddings (e.g., BERT, RoBERTa, GPT), and their application in real-world scenarios.
• Proficiency with vector databases and approximate nearest neighbor (ANN) search tools such as FAISS, Milvus, or Pinecone.
• Experience building and maintaining scalable data pipelines using tools like Pandas, Spark, or Airflow.
• Familiarity with SQL for data manipulation and analysis.
• Experience with cloud platforms (Azure preferred) and containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving skills, attention to detail, and a research-oriented mindset.
• Strong communication and collaboration skills, with the ability to work in cross-functional teams.

• Work on cutting-edge GenAI research with real-world impact.
• Be part of a collaborative, forward-thinking team at the forefront of AI innovation.
• Competitive salary and benefits package.
• Opportunities for continuous learning, research publication, and professional growth.

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

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