Senior AI Data Engineer

4 weeks ago


Delhi, Delhi, India Teamified Full time

About the job :

We focus on uplifting the way organisations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes.

Additional to this we are building our own technology product offerings.

We strive to deliver the best outcomes for our customers, our partners and our people.

We are seeking a talented and experienced Senior AI Data Engineer to join our dynamic team.

As a Senior AI Data Engineer, you will be responsible for designing, developing, and implementing AI solutions to enhance our products and services.

You will work closely with our principal software engineer and platform software engineers to create cutting-edge AI models and algorithms.

Key Responsibilities :

- Design and develop our Teamified AI data architecture & API using Python (Django Framework) and other relevant python libraries

- Manage our RDBMs [SQL], NoSQL [MongoDb] and Vector [Pinecone] databases and conduct proper data governance & research

- Collaborate with our leadership, product experts and software architect to integrate AI solutions into our Teamified Platform

- Optimize AI augmentation models, context builders and prompt builders for performance, scalability, and efficiency.

- Conduct research and stay up-to-date on the latest advancements in AI and data engineering.

Requirements :

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- 3+ years of experience in AI data engineering.

- Proficiency in Python and Django Framework and other relevant tools and technologies.

- Good-to-have skills : RAG Orchestration Pipelines, LangChain, Vector Databases, PineCone,

- Strong problem-solving skills and attention to detail.

- Excellent communication and teamwork skills.

- Ability to work independently and collaboratively in a fast-paced environment.

Benefits :

- Flexibility in work hours and location, with a focus on managing energy rather than time.

- Access to online learning platforms and a budget for professional development

- A collaborative, no-silos environment, encouraging learning and growth across teams

- A dynamic social culture with team lunches, social events, and opportunities for creative input

(ref:hirist.tech)
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