14 DataMetica Jobs

Job Title: AI/ML Engineer

Experience Level: 3-6 years

Location: [Pune/Remote/Hybrid]

Type: Full-Time

Job Summary

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 LangChain, 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 (LLMvs), 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.

2. 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.

3. 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.

4. 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).

5. 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.

6. 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 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.