Job Summary

An excellent opportunity for a Data Scientist to work on Generative AI (Gen AI) and Machine Learning (ML) projects, for a reputed organization. This role involved working closely with stakeholders across departments to improve business processes and deliver impactful AI-driven outcomes.

Mandatory Skill-set

• Degree in Information Technology, Computer Science, Engineering, Business or Data Science;
• Must have 3 years of experience in a Data Science role, preferably within AWS cloud environments;
• Able to translate technical concepts into business use cases and obtain buy-in from stakeholders for the AI/ML use cases;
• Experience in designing for GenAI models, including metrices and human-in-a-loop evaluation;
• Must have exposure in SQL, Python, and Spark, AWS;
• Must have experience in supervised and unsupervised ML techniques such as regression, clustering, and tree-based models;
• Deep understanding of feature engineering, hyperparameter tuning, and model evaluation methods;
• Hands-on experience implementing MLOps practices on AWS as well as AWS bedrock;
• Familiarity with data warehouses and big data tools such as Redshift, BigQuery, Snowflake, Hive, S3;

Desired Skill-set

• AWS certifications;
• Prior experience in financial services, telecommunications, or consulting industries.

Responsibilities

• Own AI/ML use cases from ideation to production, including continuous monitoring and enhancement;
• Serve as a Gen AI technical specialist within the Data Science team, designing and implementing models to support advisor sales journeys and operational efficiency;
• Collaborate cross-functionally with data engineers, analysts, product teams, and business stakeholders to design and deliver robust AI/ML solutions;
• Translate business problems into technical requirements through proactive stakeholder engagement;
• Maintain detailed documentation covering dataset preparation, modeling approach, performance metrics, and workflow processes;
• Ensure all AI/ML solutions comply with data privacy laws (e.g., PDPA) and AI governance policies;
• Promote innovation and continuous improvement across AI/ML models and processes.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

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