Job Title: AI/ML Engineer

Experience Level: 1-6 years
Location: [Pune]
Type: Full-Time

Job Summary

We are looking for a energetic and innovative AI/ML Engineer with expertise in Generative AI and hands-on experience in GCP or other cloud platforms. The ideal candidate will have proven experience in developing, training, fine-tuning, and deploying advanced AI/ML models. You will play a pivotal role in building scalable, production-ready solutions involving large datasets, NLP techniques, and cutting-edge frameworks such as MCP, Retrieval-Augmented Generation (RAG), and REACT (Retrieve, Extract, Adapt, Construct, Think).

This role requires a solid foundation in Python, SQL, and AI/ML development pipelines, combined with a passion for solving real-world problems using AI.

Roles & Responsibilities

1. Model Development & Training
- Design, train, and fine-tune AI/ML models, especially Generative AI and Large Language Models (LLMs), to address specific use cases.
- Build conversational AI solutions and chatbots using frameworks such as LangChain, RAG (Retrieval-Augmented Generation), and Chain-of-Thought (COT) prompting.
- Apply advanced techniques, including embeddings, fine-tuning, and custom prompting strategies.
- Incorporate REACT (Retrieve, Extract, Adapt, Construct, Think) methods to enhance model capabilities.
- Develop scalable AI solutions to integrate seamlessly into production environments.

- Data Handling

- Manage large-scale datasets for AI/ML applications, ensuring data quality, transformation, and normalization.
- Conduct data analysis, preprocessing, and munging to extract valuable insights.
- Implement scalable data engineering workflows for model development and production.

- Cloud AI/ML Deployment

- Deploy, manage, and optimize AI models on Google Cloud Platform (GCP) (or other cloud platforms like AWS/Azure).
- Leverage GCP services such as Vertex AI, BigQuery, Cloud Functions, and Dataflow for AI workflows.

- Collaboration & Solutioning

- Collaborate with cross-functional teams, including product managers,



data scientists, and software engineers, to deliver AI-driven solutions.
- Integrate models with client-facing applications, ensuring end-to-end implementation.
- Support scalable development through Docker for containerization (a plus).

- Continuous Improvement

- Stay updated with the latest advancements in AI, ML, and Generative AI frameworks, tools, and methodologies.
- Proactively learn new technologies and apply them to improve processes and solutions.

- Web Scraping (Optional but Preferred)

- Implement web scraping solutions to gather data from unstructured sources for model training and validation
- .

Required Skills & Qualifications

- 3-6 years of experience in AI/ML model development, training, and fine-tuning.
- Strong programming skills in Python and SQL.
- Hands-on experience with Generative AI, LLMs, and NLP techniques.
- Experience working with LangChain, RAG frameworks, and advanced prompting strategies.
- Proficiency in Chain-of-Thought (CoT) prompting, Model Context Protocol (MCP), and Agent-to-Agent (A2A) orchestration
- Proficiency in embeddings and fine-tuning models for specific tasks.
- Strong understanding of machine learning algorithms and statistical analysis.
- Experience working with large datasets and scalable data processing workflows.
- Hands-on experience with GCP (Vertex AI, BigQuery) or other cloud platforms (AWS/Azure).
- Knowledge of Docker for deployment and containerization.
- Solid skills in data cleaning, transformation, and normalization for data integrity.

Preferred Skills

- Familiarity with Reinforcement Learning from Human Feedback (RLHF).
- Understanding of COT (Chain-of-Thought) prompting.
- Proficiency in REACT (Retrieve, Extract, Adapt, Construct, Think) frameworks.
- Experience in web scraping techniques.

Key Attributes

- Strong analytical and problem-solving abilities.
- Ability to work independently as well as collaboratively in a team environment.
- Excellent communication skills to interact with stakeholders and cross-functional teams.
- Proactive attitude to learn and adopt new AI technologies and frameworks.

📌 Sr AI Engineer (Pune)
🏢 Datametica
📍 Pune