Company Name

Infosys Ltd ( Bangalore )

Job Description

• Responsibilities:

  • Ensure effective Design, Development, Validation, and Support activities to deliver high-quality services in the technology domain.

  • Gather and analyze client requirements, translate them into system requirements, and provide accurate documentation.

  • Participate in effort estimation and provide detailed inputs to Technology Leads and Project Managers.

  • Design, develop, and deploy efficient programs, systems, and ML models to support client business needs.

  • Collaborate with cross-functional teams to ensure successful delivery of AI/ML-driven solutions.

  • Contribute to continuous improvement initiatives, adopting new technologies and methodologies in Machine Learning and Data Analytics.

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  Additional Responsibilities

  • Apply design principles and software architecture fundamentals in ML solution building.

  • Understand performance engineering and optimize ML models for scalability and efficiency.

  • Apply quality processes and estimation techniques to deliver reliable outcomes.

  • Translate functional and non-functional requirements into technical/ML system requirements.

  • Write and maintain unit tests, integration tests, and ML evaluation scripts.

  • Work with SDLC and Agile methodologies in ML project execution.

  • Stay updated with the latest trends in AI/ML, Python frameworks, and cloud technologies.

  • Demonstrate strong logical thinking, analytical skills, and problem-solving ability.

  • Collaborate effectively with team members and clients.

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  Technical and Professional Requirements

  • Primary Skills: Machine Learning → Python

  • Strong understanding of Python libraries (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch).

  • Hands-on experience with data preprocessing, model building, training, validation, and deployment.

  • Knowledge of data structures, algorithms, and optimization techniques.

  • Experience in working with databases, APIs, and cloud platforms (Azure preferred).

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  Preferred Skills

  • Machine Learning → Python

  • Experience with Natural Language Processing (NLP), Computer Vision, or Deep Learning.

  • Familiarity with big data frameworks (Spark, Hadoop) and MLOps practices.

  • Exposure to Azure ML Studio, Databricks, or other cloud AI platforms.

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