AI/ML Engineer

Job Title: AI/ML Engineer

Experience: 3-6 Years

Location: Hybrid (Pune)

Employment Type: Full-Time

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 performance.
• Develop scalable AI solutions for seamless integration into production environments.

2. Data Handling

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

3. Cloud AI/ML Deployment

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

4. Collaboration & Solutioning

• Work with cross-functional teams (product managers, data scientists, and engineers) to deliver AI-driven solutions.
• Integrate models into client-facing applications ensuring end-to-end implementation.
• Support scalable development using Docker for containerization (preferred).

5. Continuous Improvement

• Stay updated with latest advancements in AI/ML and Generative AI frameworks.
• Proactively learn and apply new tools, libraries, and methodologies to improve processes.

6. Web Scraping (Optional but Preferred)

• Implement web scraping solutions to gather data from unstructured sources for 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 with Lang-Chain, RAG frameworks, and advanced prompting strategies.
• Proficiency in CoT prompting, Model Context Protocol (MCP), and Agent-to-Agent (A2A) orchestration.
• Strong knowledge of embeddings and fine-tuning models for specific tasks.
• Solid understanding of ML algorithms and statistical analysis.
• Experience with large datasets and scalable data workflows.
• Hands-on with GCP (Vertex AI, BigQuery) or equivalent cloud platforms (AWS/Azure).
• Familiarity with Docker for deployment and containerization.
• Strong skills in data cleaning, transformation, and normalization.

Preferred Skills

• Knowledge of Reinforcement Learning from Human Feedback (RLHF).
• Familiarity with REACT frameworks.
• Experience in web scraping techniques.

Key Attributes

• Strong analytical and problem-solving abilities.
• Ability to work independently and collaboratively.
• Excellent communication skills for stakeholder interaction.
• Proactive in adopting new AI technologies and frameworks.

Job Type: Full-time

Pay: ₹1,100,000.00 - ₹1,200,000.00 per year

Application Question(s):

• How many years of work experience do you have with AI/ML ?
• Would you be fine joining us on an immediate basis?
• How many years of work experience do you have with SQL ?
• Would you be able to work on-site?
• Would you be fine with an annual package of 12LPA ?
• What's your current CTC?
• How many days of notice period do you have?

Work Location: In person