Senior Data Scientist - MLOps

Job description
9+ years of overall Industry Experience
6+ years experience designing and developing deep learning, machine learning, optimization and statistical models using frameworks like Tensorflow, Keras, PyTorch, MXNet
Very good understanding of Generative AI Concepts
Proficiency in Generative AI frameworks such as LangChain and LlamaIndex
Hands-on Exposure to vector databases, and advanced RAG.
Hands-on explore to Knowledge Graphs is a plus.
Good Experience in Prompt Engineering
Understanding of encoder and encoder-decoder model architectures.
Knowledge of the latest techniques in this space such as LORA adaptors, PEFT, quantization
Experience in practical training cycles
Experience with GPU usage
Experience with inference accelerators
Knowledge of fine tuning LLMs including BERT and GPT based.
Role: Data Scientist
Industry Type: Software Product
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: B.Tech/B.E. in Any Specialization
PG: Any Postgraduate
Key Skills
Skills highlighted with ‘‘ are preferred keyskills
Data Science
Tensorflowdeep learningPrompt EngineeringMLOpsMXNetGenerative AI frameworksmachine learning