Senior Data Scientist

Job Title: Senior Data Scientist/Gen AI Engineer

Job Summary

To lead advanced data science initiatives, develop predictive models, and drive data-driven decision-making by extracting meaningful insights from complex datasets, enabling business growth and innovation.

Years of Experience:- 7 to 10 years

Job Requirements:

• Should be having proficiency of 5 years in Python

• Hands on experience in SQL

• Google Cloud, BigQuery, Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Cloud Data Fusion

• GenAI tools (Langchain, Langgraph)

• Proficiency in TensorFlow and PyTorch

• Skills in data preprocessing & feature engineering for AI model training

• Experience in deploying AI models into production environment

• Optimize & fine-tune generative models for performance & efficiency

• Having experience in any of the cloud services

• Should be aware of testing techniques for the models that are developed

• If they have RAG AI framework exp it will be good

Key Responsibilities

1. Develop and deploy machine learning models, predictive analytics, and AI solutions to solve business challenges.

2. Design and optimize algorithms for data processing, feature engineering, and pattern recognition.

3. Lead data exploration, mining, and visualization to uncover trends and actionable insights.

4. Collaborate with cross-functional teams to integrate data science solutions into business strategies.

5. Drive innovation by leveraging advanced statistical techniques, deep learning, and big data technologies.

6. Ensure data integrity, governance, and best practices in model development and deployment.

7. Mentor junior data scientists and promote a data-driven culture within the organization.

8. Stay ahead of industry trends and emerging technologies to enhance analytical capabilities.

Must Have Skill

Gen AI, MySQL, Python

Interested candidates are requested to share their updated CV to [Confidential Information] along with the following details:

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• Relevant Experience in Gen AI Tools:
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