Are you passionate about using data to uncover insights and build intelligent systems? At Infosys, we are looking for a highly motivated and technically proficient Machine Learning Engineer with strong expertise in Python to be a part of our dynamic delivery team. If you are eager to take on real-world challenges, work closely with global clients, and play a critical role in driving digital transformation through data and AI, this is the perfect opportunity for you.
A Day in the Life of an Infoscion
- Client Engagement & Delivery Excellence. You will interface directly with clients to understand their business requirements and technical needs, ensuring all solutions meet the highest standards. Your role will involve problem resolution, managing expectations, and ensuring superior client satisfaction through quality and timely delivery.
- Solution Design & Development. From analyzing complex data to designing machine learning models, you'll be responsible for creating scalable solutions. You will participate in all phases of the project lifecycle including requirement analysis, design review, architecture validation, and implementation.
- Leadership & Collaboration. You’ll lead and mentor junior team members, guiding them towards writing clean, efficient, and well-tested code. Collaboration will be key – working alongside cross-functional teams to ensure delivery of optimized, production-ready ML solutions.
- Quality & Innovation. Perform in-depth code reviews, enforce coding standards, and contribute to best practices. Stay up-to-date with the latest ML trends and technologies and apply innovative techniques to improve model performance and system reliability.
- Risk Management & Planning. Participate in effort estimation, risk assessments, and project planning. Your analytical abilities will be essential in identifying potential technical risks and mitigating them early.
What You'll Need to Succeed
Technical Expertise
- Strong proficiency in Python, with hands-on experience in ML libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, etc.
- Solid understanding of machine learning algorithms, data preprocessing techniques, feature engineering, model evaluation, and deployment strategies.
- Ability to write modular, efficient, and testable code following SOLID principles.
- Knowledge of software quality assurance principles, version control systems (e.g., Git), and CI/CD pipelines.
Architecture & Design
- Basic to intermediate knowledge of software architecture and system design fundamentals.
- Understanding of design patterns, scalability, and system optimization techniques.
Project & Process Know-How
- Familiarity with the Agile development methodology.
- Understanding of full project lifecycle activities from development through maintenance and support.
- Exposure to testing tools and test-driven development (TDD).
Soft Skills & Business Acumen
- Excellent communication and interpersonal skills with the ability to engage both technical and non-technical stakeholders.
- Strong analytical thinking and problem-solving capabilities.
- Basic understanding of business domains to effectively align solutions with business goals.
- Ability to multi-task, prioritize responsibilities, and meet deadlines in a fast-paced environment.
Why Infosys?
At Infosys, we empower individuals to challenge the norm and think beyond the ordinary. You will be part of a global team that thrives on collaboration, innovation, and excellence. Our work environment is one that fosters continuous learning and growth, where your ideas and expertise are valued, and your impact is real.
If you're ready to be a part of a high-performance culture, building smart systems and making a meaningful difference for top-tier clients worldwide this is your chance to be a part of the Infosys story.