Senior Data Scientist

Must haves:

• Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques
• Expert knowledge of a statistical computing language such as Python, Knowledge of probability and statistics, including experimental design, predictive modelling, optimization, and causal inference
• Lead the design, development, and implementation of state-of-the-art NLP algorithms and models using Transformers and similar architectures.
• Good Understanding of MLOps tools/processes like Elasticsearch, Jenkins, Docker is plus.
• Good knowledge of Deep Learning framework like PyTorch, TensorFlow is must
•  Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
•  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
• decisionsM.Tech/B.Tech. or equivalent experience in Computer Science, Engineering, Statistics, or other relevant technical field
• Must have 4+ 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
• Expertise in building and fine-tuning LLM  models using Transformers and RAG systems