Ai Ml Engineer

Onix Networking Corporation; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Onix Networking Corporation in India is seeking an experienced AI/ML Engineer to design, train, and deploy Generative AI models, with hands‑on work in GCP or other clouds. You will handle large datasets, NLP tasks, and production‑readiness requirements, from training to deployment.

The role emphasizes LangChain, RAG, CoT prompting, and REACT methodologies to build scalable AI solutions and conversational agents for real‑world applications. Collaboration with product teams is essential.

Qualifications

• 3-8 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 CoT prompting, MCP, and 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.

Responsibilities

• Design, train, and fine‑tune AI/ML models, especially Generative AI and LLMs, to address specific use cases.
• Build conversational AI solutions and chatbots using LangChain, RAG, and COT prompting.
• Apply advanced techniques including embeddings, fine‑tuning, and custom prompting strategies.
• Incorporate REACT methods to enhance model capabilities.
• Develop scalable AI solutions to integrate into production environments.
• Manage large‑scale datasets for AI/ML applications and ensure data quality.
• Conduct data analysis, preprocessing, and munging to extract insights.
• Implement scalable data engineering workflows for model development and production.
• Deploy, manage, and optimize AI models on GCP (Vertex AI, BigQuery) or other clouds.
• Collaborate with cross‑functional teams to deliver AI‑driven solutions.
• Integrate models with client‑facing applications and support Docker‑based deployment.
• Stay updated with AI/ML advancements and apply new technologies.

Skills

Python

SQL

Generative AI

LLMs

NLP techniques

LangChain

RAG frameworks

CoT prompting

MCP

A2A orchestration

embeddings

Docker

GCP

BigQuery

Tools

LangChain

Docker

GCP (Vertex AI, BigQuery)

Job description

We are looking for a dynamic 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

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

• 3-8 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.

Why Join Us?

• Opportunity to work on cutting‑edge AI/ML solutions.
• Collaborative and innovative work culture.
• Access to state‑of‑the‑art tools, frameworks, and GCP resources.
• Growth opportunities with a focus on professional development in AI/ML.Role & responsibilities