Hiring AIML Data Scientist (From tier1 Org only)

Job Description

R Skillset will be 4+ years in NLP(Natural language processing), Deep Learning, LLM, ML Algorithms, AWS Cloud (development and deployment) 2) Expertise in Python ( with Tensorflow, Keras, PyTorch, Langchain + any other ML/DL connected libraries) Here is the full JD as requested: AIML Data Scientist (B2): Candidate should have atleast 3-5 years of technical working experience in Data Science/AI-ML projects. Must have to have strong NLP, Deep-learning and LLM Development experience. Basic Computer Vision knowledge is an added benefit. Strong working knowledge of basic ML algorithms like Random Forest, SVM etc. Strong working knowledge in AWS services as Sagemaker pipelines, Step functions, Lambda Function, EC2, Bedrock, AWS logging and security services and container-based services (ECS/EKS, Fargate and AWS Batch) At least 2 years of coding experience with Python, Tensorflow, Keras, PyTorch, Conventional ML libraries like numpy, pandas and scikit-learn. Pyspark is added advantage. Working knowledge of building applications using microservices and REST APIs- Good to have previous project experience using web-frameworks such as Fast-API, Django & Flask. Exposure to data solutions and cloud technologies like Azure/AWS: Redshift, RDS, S3, Glue, Athena, EMR, Spark, Hive etc. Preferred knowledge of front-end frameworks using Streamlit/Panel. Strong communication skills with the ability to effectively convey complex technical concepts to a diverse audience.

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