Data Scientist- Educational Qualifications

• Bachelors or Master’s degree (B.E./B.Tech/M.Tech/MCA) in Computer Science, Electronics & Communication, Electrical Engineering, or a related discipline.

- A Master’s degree in Computer Science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly desirable.

Experience

- 5+ years of overall IT experience, including at least 5+ years of hands-on experience in Data Science.

Must-Have Technical Skills
- Strong Python programming skills with practical experience using deep learning frameworks such as TensorFlow and PyTorch.
- Experience in data preprocessing, data augmentation, and managing large-scale image and video datasets for model development.
- Strong understanding of transformer architectures, RNNs, transfer learning techniques, vision transformer models (e.g., ViT), and fine-tuning of language models.
- Mandatory exposure to Natural Language Processing (NLP) techniques.
- Experience building AI agents using frameworks such as LangGraph.
- Ability to design and optimize prompt engineering workflows for large language models (e.g., GPT, Claude, LLaMA).
- Strong proficiency in Python and up-to-date software development best practices.
- Knowledge of enterprise-level AI security, compliance, and governance requirements.
- Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated model deployment.
- GenAI, agentic workflows, RAG pipelines

Nice-to-Have Technical Skills

- Understanding of and hands-on experience with Convolutional Neural Networks (CNNs) and Reinforcement Learning.

Cloud & Infrastructure
- Robust expertise in Databricks and the Azure cloud ecosystem.
- Experience working in UNIX/Linux environments,



including the use of command-line tools for scripting and automation.

Soft Skills

- Strong analytical thinking and problem-solving capabilities.
- Excellent communication skills, including interpersonal, written, visual (presentations), and verbal communication.
- Ability to collaborate effectively with cross-functional teams and mentor junior team members.

AI Engineer- We are seeking a AI Engineer to build and deliver production-grade agentic AI systems for enterprise use. The engineer will develop multi-agent workflows, integrate large language models into existing enterprise systems, and support the deployment and automation needed to run them reliably and securely in production.

This is a hands-on engineering engagement. The work centers on building agents, orchestration logic, and supporting infrastructure that performs under real production workloads, not on proof-of-concept or advisory work.

Scope of Work

- Build AI agents and multi-agent systems using frameworks with LangGraph and LangChain tools.
- Develop and tune prompt engineering workflows across multiple LLMs (GPT, Claude, LLaMA), balancing reliability, cost, and latency.
- Develop REST APIs, WebSocket services, and event-driven pipelines for real-time AI services that remain stable under load.
- Automate testing and releases through Jenkins CI/CD,



and maintain code and documentation standards using Git, Jira, and Confluence.
- Deployment of AI Application in enterprise adhering to best practices
- Use AI-augmented development tools such as Claude Code and Codex to accelerate delivery.
- Coordinate with platform, security, and product teams to deliver scalable, secure deployments.

Must-Have Skills

- 4-6 years in Machine Learning, AI, or a related field, with production systems delivered.
- At least 1 year building custom Agentic AI applications
- Strong Python skills and sound modern development practices.
- Hands-on experience with LLMs and prompt engineering across the full application lifecycle.
- Demonstrated experience building AI agents with LangGraph.
- Familiarity with at least one enterprise cloud AI platform for building and deploying agentic applications, such as Azure AI Foundry, AWS Bedrock, or Google Gemini Enterprise, including cloud-native deployment practices.
- Working knowledge of REST APIs, WebSockets, and event-driven systems.
- Proficiency with CI/CD tooling (Jenkins) and version control (Git).
- Fluency with AI-augmented development tools for rapid prototyping.
- Strong written and verbal communication, an analytical approach to problem-solving, and the ability to work independently within a cross-functional team.
- Data layer curations and integration with source system for agentic application

Good-to-Have Skills

- Familiarity with Databricks.
- Exposure to MLOps/LLMOps workflows and application monitoring.
- Knowledge of enterprise security, compliance, and governance for AI systems.
- Familiarity with code and model lifecycle management practices.

📌 Data Scientist (Bengaluru)
🏢 First Meridian Business Services
📍 Bengaluru