AI/ML Engineer

Job Title:

Experience:

Location:

Employment Type:

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

  LangChain, 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

  .