Senior Data Scientist

About the Role

• We are looking for a Senior Data Scientist to come and work on our growing AI
• stack. You will be working with a team of highly skilled and motivated data scientists and machine learning engineers. If you are excited about natural
• language understanding and machine translation, AppZen is the right place for you to apply and grow your skills.

Key Responsibilities:

• Solid understanding of machine learning fundamentals, and familiar
• with standard algorithms and techniques
• Solid understanding of Python programming, including core data
• structures (lists, dicts, sets, tuples), object-oriented design, and writing
• clean, modular, and maintainable code.
• Experience with code optimization techniques, including efficient
• memory and runtime usage, vectorization (NumPy/Pandas), and
• debugging performance bottlenecks.
• Hands-on experience with LLMs such as GPT, LLaMA, or Claude,
• including evaluation and integration into production pipelines.
• Proficiency in using GenAI frameworks and tools (e.g., Hugging Face
• Transformers, LangChain, OpenAI APIs, vLLM, or AutoGen) to build,
• customize, and deploy language-based solutions.
• Ability to analyze, evaluate, and optimize LLM outputs for accuracy,
• safety, relevance, and bias mitigation in enterprise use cases.
• Work with internal and external stakeholders on program management
• Manage your own process: identify and execute on high impact projects,
• triage external requests, and make sure you bring projects to conclusion
• in time for the results to be useful
• Excellent written and verbal technical communication skills;
• communicate proposals and results in a clear manner backed by data
• and coupled with actionable conclusions to drive business decisions
• M.Tech/B.Tech. or equivalent experience in Computer Science,
• Engineering, Statistics, or other relevant technical field
• Must have 6+ years of industry experience
• You are a team player

Nice-to-Have:

• Track record of having developed novel algorithms, e.g. publications in
• one or more of the following: KDD, WWW, NIPS, ISWC, NAACL, ACL,
• SIGIR, EMNLP, ICML etc
• Good Understanding of MLOps tools/processes like ElasticSearch, Jenkins,
• Docker is plus.
• Expertise in building and fine-tuning LLM models using
• Transformers and RAG systems.