Sr Specialist Data Sciences Kolkata (India)

Sr Specialist Data Sciences Kolkata (India)

27 Oct
|
LTM
|
India

27 Oct

LTM

India

Job Summary

Data Scientist skills: Ability to write well designed modular and optimized code. Solid hands-on programming experience in Python (mandatory), SQL and Spark. Must have robust proficiency in Git version control. Big Data and ML engineering. Experience working with cloud service providers like Azure, AWS, Snowflake. Knowledge of commonly used data structures and algorithms. Solid foundation of Statistics and core ML algorithms at a mathematical under the hood level. Knowledge of Time Series, NLP and Deep Learning and Generative AI. Knowledge and hands-on experience in developing solutions with Large Language Models. Must have been part of projects building and deploying predictive models in production in the financial services domain (preferred), involving large and complex data sets. Must have familiarity with tools and libraries like Numpy, Pandas, PyTorch, TensorFlow and Scikitlearn. Positive to have experience working with OpenAI APIs/other LLMs. Experience working with embedding techniques and vector databases.



Work with Langchain LLMs Large Language Models and OpenAI to create advanced functionalities. Experience working with chatbots.

Experience
At least 5 years of experience in software development and leading technology projects
Proven track record of delivering projects using emerging technologies
Experience in mentoring and guiding junior team members
Experience in working with crossfunctional teams

Qualifications
Bachelors or Masters degree in Computer Science, Information Technology or related field from tier 1 or tier 2 colleges
Relevant certifications in emerging technologies

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Specialist Data Sciences Kolkata (India)
🏢 LTM
📍 India

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