Data Scientist / AI & ML Engineer

Mployee.me; Bengaluru; On-site; INR 1,200,000 - 2,100,000; Part time

Job summary

Mployee.me in Bangalore is seeking a Senior Data Scientist / AI & ML Engineer to design, develop and deploy scalable AI-powered solutions for digital services within financial tech. You will bridge research and engineering to produce production-ready systems, rapid prototypes, and innovative AI models.

The role emphasizes building end-to-end data architectures, large-scale ML pipelines, and multi-agent AI applications across on-prem and cloud environments.

Qualifications

• Bachelor’s degree in computer science or related field with 5+ years of relevant experience.
• Strong hands-on experience in machine learning, statistical analysis, and data modeling.
• Solid experience with big data technologies (Hadoop ecosystem, Spark, etc.).
• Proficiency in Python, R, or Shell scripting.
• Experience with cloud platforms: AWS / Azure / Google Cloud.
• Strong programming skills in Java and/or Scala.
• Experience with RDBMS (MySQL, PostgreSQL) and NoSQL databases (MongoDB, etc.).
• Experience building data pipelines using tools like Kafka, Flume, Spark.
• Familiarity with DevOps tools (Jenkins, CI/CD pipelines, containerization).
• Experience in distributed systems and large-scale application development.
• Knowledge of data visualization/BI tools (Tableau, Power BI, etc.).
• Strong problem-solving, communication, and stakeholder management skills.
• Experience working in Agile environments.

Responsibilities

• Design and develop AI/ML solutions to address customer and business problems.
• Build, train, and deploy machine learning and deep learning models across use cases.
• Build and deploy LLM-powered applications using prompt engineering, RAG, and fine-tuning.
• Develop scalable data architectures for large-scale data processing and analytics.
• Set up and manage big data environments for rapid prototyping (on-premises and cloud).
• Design and develop agentic AI systems (multi-agent workflows, tool-using agents, autonomous decision loops).
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Build and maintain robust data pipelines using modern data engineering tools.
• Optimize performance, reliability, and scalability of data and ML systems.
• Enable seamless data access for researchers across programming environments.
• Stay updated with the latest advancements in AI/ML, data engineering, and fintech.
• Contribute to research initiatives, PoCs, and innovation-driven projects.

Skills

Machine Learning

Big Data

Python/R

Cloud Platforms

Java/Scala

Data Pipelines

DevOps/CI-CD

Distributed Systems

SQL/NoSQL

Data Visualization

Education

Bachelor’s degree in Computer Science or related field

Master’s degree (preferred)

Tools

Hadoop ecosystem

Spark

Kafka

Flume

Jenkins

CI/CD

Docker

Kubernetes

Job description

Type of work: FTC for 2 years

Location: Bangalore

JOB SPECIFICATION

Job Title: Data Scientist / AI & ML Engineer

Designation: Senior Research Engineer (Equivalent to Senior executive) or Researcher (Equivalent to Assistant Manager ) -Based on qualifications
Reporting To: GM / Unit Leader Financial services Research

Role Overview

We are looking for a highly motivated Data Scientist / AI & ML Engineer to design, develop, and deploy scalable AI-driven solutions for real-world digital services challenges. The role involves working at the intersection of research and engineering to build production-ready systems, rapid prototypes, and innovative AI models.

Key Responsibilities

• Design and develop AI/ML solutions to address customer and business problems.
• Build, train, and deploy machine learning and deep learning models across use cases.
• Build and deploy LLM-powered applications using techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning.
• Develop scalable data architectures for large-scale data processing and analytics
• Set up and manage big data environments for rapid prototyping (on-premises and cloud)
• Design and develop agentic AI systems (multi-agent workflows, tool-using agents, autonomous decision loops)
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Build and maintain robust data pipelines using modern data engineering tools
• Optimize performance, reliability, and scalability of data and ML systems
• Enable seamless data access for researchers across programming environments
• Stay updated with the latest advancements in AI/ML, data engineering, and financial technologies
• Contribute to research initiatives, PoCs, and innovation-driven projects

Required Qualifications

• Bachelor’s degree in computer science or related field with 5+ years of relevant experience
• Strong hands-on experience in machine learning, statistical analysis, and data modeling
• Solid experience with big data technologies (Hadoop ecosystem, Spark, etc.)
• Proficiency in Python, R, or Shell scripting
• Experience with cloud platforms: AWS / Azure / Google Cloud
• Strong programming skills in Java and/or Scala
• Experience with RDBMS (MySQL, PostgreSQL) and NoSQL databases (MongoDB, etc.)
• Experience building data pipelines using tools like Kafka, Flume, Spark
• Familiarity with DevOps tools (Jenkins, CI/CD pipelines, containerization)
• Experience in distributed systems and large-scale application development
• Knowledge of data visualization/BI tools (Tableau, Power BI, etc.)
• Strong problem-solving, communication, and stakeholder management skills
• Experience working in Agile environments

Preferred Qualifications (Good to have)

• Master’s degree in Computer Science or related field
• Experience in Deep Learning and advanced AI techniques
• Proven experience in building prototypes and production-grade PoCs
• Exposure to financial services or fintech domain (preferred)
• Experience with MLOps frameworks and model lifecycle management
• Experience designing multi-agent systems and autonomous workflows
• Exposure to fine-tuning, RLHF, or model optimization techniques
• Experience with evaluation frameworks for LLMs

What We’re Looking For

• A balance of research mindset + engineering execution
• Ability to move quickly from idea prototype scalable solution
• Strong ownership and curiosity to solve real-world problems using the latest in AI.