Infosys Off Campus hiring for BE/ B.Tech/ ME/ M.Tech/ M.Sc/ MCA – 2024 & 2025 batch graduates for the role of Systems Engineer across India locations. The detailed eligibility and application process are given below.
Company Website: www.infosys.com
Job Role: Systems Engineer
Qualification: BE/ B.Tech/ ME/ M.Tech/ M.Sc/ MCA
Batch: 2024 and 2025
Experience:
Job Location:
Salary: ₹ 9.5 & 6.5 LPA (Expected)
Last Date: ASAP
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.
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:
Natural Language Processing (NLP)
Computer Vision
Generative AI models
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).
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.
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.
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Interested and eligible candidates can apply for the Recruitment Program by below link
Apply Link:
All interested and eligible candidates can apply for this drive online by the following link.
"The above Jobs Description is taken from the respective Job Companies"