Description
Job Summary
pWe are seeking a talented AI Engineer to join our team at Redsage, where you will design and develop end-to-end ML pipelines, build RAG systems, fine-tune LLMs, and deploy AI models in production environments. This role involves working closely with product and engineering teams to create impactful AI solutions for diverse industries.
Responsibilities
- Design and implement ML pipelines from data ingestion to model deployment
- Create RAG systems using document chunking, embedding generation, and vector indexing
- Fine-tune LLMs using LangChain and LlamaIndex for scalable applications
- Deploy AI/ML models to production environments using FastAPI and Docker
- Collaborate with cross-functional teams to ensure alignment with business objectives
Required Skills
- Docker
- FastAPI
- PyTorch
- TensorFlow
- Pandas
Required Skills Explained
- Docker: A containerization platform that helps in building lightweight, portable, and self-sufficient software containers.
- FastAPI: A modern, fast (high-performance) web framework for building APIs with Python 3.7+ based on standard Python type hints.
- Pandas: A software library providing fast, flexible, and expressive data structures designed to make working with structured (tabular, time-series, or other) data both easy and intuitive.
- Prompt Engineering: The art of crafting prompts for AI models to generate desired outputs efficiently.
- Python: A high-level, interpreted programming language known for its readability and ease of use, widely used in machine learning and AI projects.
- PyTorch: An open-source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
- TensorFlow: An end-to-end open-source platform for machine learning developed by Google, allowing users to build and deploy ML models easily.
Who is this for
pThis role is ideal for graduates in computer science, data science, or related fields with a strong interest in AI and software development. Candidates should have experience in machine learning frameworks and cloud technologies.
Why This Job is a Good Opportunity
ulliWork with leading AI tech transformation company in Hyderabad known for delivering enterprise-grade solutions across various sectors.liJoin a dynamic team working on cutting-edge AI products and impactful consulting solutions, contributing to the future of technology.liGain hands-on experience in developing end-to-end ML pipelines and integrating LLMs into scalable applications using industry-standard tools like LangChain and LlamaIndex.liBroad skill development across Docker, FastAPI, PyTorch, TensorFlow, and more, offering a diverse learning environment for growth.
Interview Preparation Tips
- Review the job description thoroughly to understand the key responsibilities and required skills.
- PRACTICE designing and developing ML pipelines using Python, Docker, FastAPI, PyTorch, or TensorFlow. Consider creating small projects or contributing to open-source repositories.
- Study LangChain and LlamaIndex documentation to familiarize yourself with these tools for integrating LLMs into scalable applications.
- Become proficient in prompt engineering by working on various AI model use cases and understanding how different prompts can influence the output.
Career Growth in This Role
pAs an ML Engineer at Redsage, you will start with hands-on projects that involve designing and developing end-to-end ML pipelines. With experience, you could move into more complex roles such as MLOps engineer or AI consultant, overseeing the entire lifecycle of AI models from development to deployment.pThe company's focus on diverse industries provides opportunities for specialization in specific sectors like pharma, manufacturing, FMCG, and automobiles, enhancing your marketability. Additionally, collaborations with product and engineering teams will allow you to work closely with stakeholders, contributing to business requirements and driving innovation.
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Skills
Frequently Asked Questions
What is the role of this position?This position involves designing and developing end-to-end ML pipelines, building RAG systems, fine-tuning LLMs, and deploying AI models in production.
What are the required skills for this job?Candidates should have skills in Docker, FastAPI, PyTorch, TensorFlow, and Pandas.
What is the compensation package?The salary range for this position is 6 LPA - 8 LPA.
