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.
