AI/ML Engineer

Job Description:

What You’ll Be Doing

Responsible for implementing AI/ML/DL use cases to improve the efficiency and resiliency of systems and data centers.

Identify problems related to performance, utilization, and scale in existing systems and provide innovative solutions for the same.

Work with the architect and other developers in internal and external development teams.

What We Need To See

BE (MS preferred) or equivalent experience.

Well-versed with Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) algorithms and techniques.

Hands-on experience on large language model (LLM).

Expert programming ability in Python, Go, or Java.

Strong understanding and hands-on to various anomaly detection techniques.

Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.

Good understanding of distributed systems, understanding of microservice architecture, and REST APIs.

Excellent knowledge and working experience with Docker containers. Consistent track record in developing large-scale distributed applications.

Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams.

Ways To Stand Out From The Crowd

Experienced in implementing AI.ML, and DL algorithms for solving various business problems.

Good understanding of networking, storage, and data center infrastructure domains.

Exposure to various anomaly detection techniques.

Prior development of a large software project using service-oriented architecture operating with real-time constraints.