ML Engineer

Team Geek Solutions; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Team Geek Solutions in Bengaluru, India is seeking an ML Engineer/Data Scientist with 5+ years of experience to design and deploy end-to-end data pipelines and ML solutions. You will work with data engineers, product teams, and business stakeholders to translate analytics into scalable models and actionable insights.

The role emphasizes modern ML techniques, including deep learning, Generative AI, and LLMs, with a focus on quality data, robust preprocessing, and clear documentation for ongoing

Qualifications

• 5+ years of experience in ML/DS projects and data modeling.
• Design and build reliable data pipelines (ETL/ELT) for diverse sources.
• Collaborate with data scientists, engineers, and product teams.
• Implement data quality checks, monitoring, and error handling.
• Optimize data pipelines and database queries for performance.
• Create and maintain technical documentation for data systems.
• Ensure secure data handling and regulatory compliance.

Responsibilities

• Collect, clean, and preprocess data from diverse sources.
• Develop and refine ML models and algorithms to solve problems.
• Collaborate with cross-functional teams to identify analytic needs.
• Perform EDA to uncover patterns and insights.
• Evaluate models with appropriate metrics and iterate for accuracy.
• Document analyses, methodologies, and best practices.
• Stay updated on AI/ML trends, including DL, Generative AI, LLMs.

Skills

LLM

Algorithms

Machine learning

AI/ML

Python

SQL

Data scientist

Deep learning

EDA

Generative AI

GenAI

Tools

ETL pipelines

ELT pipelines

Data storage

SQL queries

Job description

Position: ML Engineer/Data Scientist

Notice Period: Immediate Joiner

Experience: 5+ Years

Key Responsibilities

• Collect, clean, and preprocess data from diverse sources to ensure quality and accuracy.
• Develop and refine statistical models and Machine Learning (ML) algorithms to solve real-world problems.
• Collaborate with cross-functional teams (e.g., data engineering, product, and business) to identify and understand analytical needs.
• Perform exploratory data analysis (EDA) to uncover patterns, trends, and relationships in datasets.
• Evaluate model performance using appropriate metrics, and iterate to optimize accuracy and efficiency.
• Document analyses, methodologies, and best practices to maintain clear records for future reference.
• Stay up-to-date with emerging AI/ML technologies and actively explore new approaches—especially in the areas of deep learning, Generative AI, and Large Language Models (LLMs).
• Present findings and insights to both technical and non-technical stakeholders in a clear, concise manner.

Qualifications

• Design and Build Data Pipelines: Assist in the development of reliable, efficient ETL (Extract, Transform, Load) and/or ELT pipelines that move data from a variety of internal and external sources into data storage systems.
• Data Integration and Collaboration: Work closely with data scientists, data analysts, and software engineers to ensure data is readily available and properly structured for analysis and modeling.
• Data Quality and Validation: Implement quality checks, error handling, and monitoring processes to ensure the reliability and accuracy of data.
• Optimize Performance: Contribute to the optimization of data pipelines and database queries to handle high-volume data and achieve better performance and scalability.
• Maintain Documentation: Develop and maintain technical documentation for data systems, pipelines, and processes to keep the team aligned and informed.
• Security and Compliance: Support efforts to ensure secure data handling and compliance with relevant regulations and industry best practices.
• Continuous Learning and Innovation: Stay informed about emerging data engineering tools, techniques, and technologies; share learnings with the team; and implement improvements where applicable

Skills: llm,algorithms,machine learning,ai/ml,python,sql,data scientist,deep learning,eda,generative ai,ml,genai