Data Science Engineer,python,Snowflake,Machine learning

Kairos Technologies; Hyderabad, Chennai District, Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Kairos Technologies seeks a seasoned Data Scientist/AI Architect to lead the design, development, and deployment of advanced ML and GenAI solutions for enterprise-scale business challenges in Hyderabad. You will define data science strategy, drive adoption of data-driven decisions and mentor teams across functions.

The role emphasizes end-to-end model lifecycle, scalable cloud analytics, and governance frameworks. Strong background in ML, GenAI and MLOps is essential for success.

Qualifications

• 5-8 years of experience in data science, ML, and analytics.
• Proven ability to design and deploy ML/GenAI solutions at scale.
• Strong knowledge of model governance, explainability, and responsible AI.

Responsibilities

• Lead design, development and deployment of ML/GenAI solutions for enterprise-scale problems.
• Architect MLOps frameworks to enable reliable model deployment and lifecycle management.
• Drive data science strategy and adoption of data-driven decision making across functions.
• Collaborate with business leaders to identify high-value AI opportunities and define technical roadmaps.
• Mentor data scientists and ML engineers; establish best practices for governance and AB testing.

Skills

Python

Data Science

Snowflake

Education

Bachelor's or Master's in CS/DS/Statistics/Math

Job description

Years of Experience 5-8 years

Prerequisite skills Python - Data Science, Snowflake-Data Science

Job Description

Skills

• Lead the design development and deployment of advanced Machine Learning AI and Generative AI solutions for enterprisescale business problems
  Define data science strategy and drive adoption of datadriven decisionmaking across business functions
• Build predictive prescriptive forecasting recommendation and optimization models
• Lead endtoend model development lifecycle including data acquisition feature engineering training validation deployment and monitoring
• Design scalable analytics solutions on cloud and big data platforms
• Develop and implement advanced statistical machine learning and deep learning algorithms
• Architect MLOps frameworks to enable reliable model deployment and lifecycle management
• Drive development of RAGbased GenAI solutions and LLMpowered applications
• Collaborate with business leaders to identify highvalue AI and analytics opportunities\

Mentor and guide data scientists ML engineers and analytics teams

Establish best practices for model governance explainability fairness and responsible AI

Lead experimentation AB testing and hypothesisdriven analytics initiatives

Build scalable data pipelines in partnership with data engineering teams

Translate complex analytical findings into actionable business recommendations

Develop executivelevel dashboards insights and performance reporting frameworks

Optimize model performance accuracy scalability and operational efficiency

Work closely with product engineering and architecture teams to integrate AI solutions into enterprise applications

Drive innovation by evaluating emerging AI ML and GenAI technologies

Ensure data quality security compliance and governance standards are maintained

Support presales solution design and AI transformation initiatives where required

Define technical roadmaps and data science standards for the organization

Lead crossfunctional teams in Agile and DevOps environments

Publish thought leadership assets reusable frameworks and best practices

Stay current with advancements in Artificial Intelligence Data Science LLMs and cloud technologies

Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics or related discipline with 12 years of experience in Data Science Machine Learning and Advanced Analytics

Key Skills

Machine Learning Deep Learning
Statistical Modelling Advanced Analytics
Predictive Prescriptive Analytics
Generative AI Large Language Models LLMs
Retrieval Augmented Generation RAG
Natural Language Processing NLP
Time Series Forecasting
Recommendation Systems
Feature Engineering
Experiment Design AB Testing
MLOps Model Governance
AI Solution Architecture
Data Visualization Storytelling
Cloud AI Platforms
Team Leadership Thought Leadership