Systems Engineer

Key Responsibilities
* Assist in the development, training, and evaluation of AI/ML models for various business use cases.
* Work with senior engineers to build data pipelines and prepare datasets for model development.
* Support the implementation and deployment of models into production, ensuring performance, scalability, and reliability.
* Write clean, efficient, and well documented code in Python and related libraries.
* Participate in PoCs, research activities, and continuous learning of new AI frameworks and technologies.
* Collaborate with cross functional teams-including data engineering, product, and domain experts-to deliver AI features and solutions.
* Support the development of GenAI applications using frameworks like LangChain, LangGraph, Crew.ai (good to have).
* Monitor system performance, troubleshoot issues, and implement improvements to enhance reliability and efficiency.
* Follow best practices in MLOps, version control, model tracking, and testing.
Required Skills & Competencies
* Strong understanding of Machine Learning fundamentals (supervised, unsupervised learning).
* Knowledge / Experience in AI Model Engineering
* Proficiency in programming languages such as Python or Java, or C++.
* Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit Learn.
* Understanding of core concepts in one or more areas:
o Natural Language Processing (NLP)
o Computer Vision
o Generative AI models
o Deep Learning architecture
* Good understanding of data structures, algorithms, and problem solving.
* Basic familiarity with cloud platforms (Azure / AWS / GCP) is an added advantage.
* Eagerness to learn and a strong foundation in mathematics (probability, statistics, linear algebra).
Good to Have (Optional)
* Exposure to LangChain, LangGraph, Crew.ai or other agentic frameworks.
* Experience with Flask / FastAPI / Django for building ML-backed applications.
* Knowledge of version control (Git), CI/CD, or basic MLOps tools.
* Participation in AI/ML competitions, Kaggle, personal AI projects, or internships.

Educational Qualification
* B.E./B.Tech in Computer Science, Information Science, Electronics, Electrical, AI/ML, Data Science, or related fields.
* M.Tech / MS in related fields (optional for fresher hiring).
* Strong academic projects related to AI/ML will be considered a plus.

About the Role
We are looking for highly motivated individuals who are passionate about Artificial Intelligence, Machine Learning, and building intelligent systems that solve real world business problems. As part of the AI Centre of Excellence, you will work on designing, developing, and deploying AI/ML models across NLP, Computer Vision, Generative AI, and automation use cases.
This role is ideal for graduates who enjoy coding, problem solving, research, and experimentation with new AI technologies.