Infosys AI ML Engineer Recruitment 2026
Freshers Jobs in Bangalore
| Company | Infosys |
|---|---|
| Category | IT |
| Job Type | Full Time |
| Location | Bangalore |
| Experience | 2 - 3 Years |
| Batch Eligible | Any Batch |
| Course | B.E / B.Tech / M.Tech |
Infosys Limited is a global IT services and consulting company that works with businesses on software development, digital transformation, cloud computing and emerging technologies.
For professionals interested in artificial intelligence and machine learning, Infosys offers opportunities to work on technology-driven business solutions. This AI ML Engineer opening focuses on developing machine learning models, building AI applications and helping deploy solutions that can be used in real-world business environments.
Infosys Limited is hiring an AI ML Engineer for its Bangalore location. This opportunity is suitable for professionals with 2–5 years of experience who have a strong foundation in Python, machine learning and AI model development.
In this role, you will work on building, training and improving machine learning and deep learning models. The work includes analysing datasets, preparing data for model training, developing AI-based solutions and deploying models for practical use.
Depending on the project, you may work on areas such as Natural Language Processing (NLP), Computer Vision, Recommendation Systems and Predictive Analytics. The role also involves evaluating model performance, improving accuracy, maintaining data pipelines and collaborating with data scientists, software engineers and business teams.
Candidates with knowledge of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), cloud platforms and MLOps practices may find these skills relevant to the additional responsibilities listed for this position.
- Design, develop, train and optimise machine learning and deep learning models.
- Analyse structured and unstructured data to identify useful patterns and business insights.
- Build and maintain data pipelines for model training and inference.
- Develop AI solutions involving NLP, Computer Vision, Recommendation Systems or Predictive Analytics.
- Evaluate models, perform feature engineering and tune hyperparameters to improve performance.
- Deploy machine learning models using cloud platforms and MLOps practices.
- Monitor deployed models and retrain them when required.
- Work with data scientists, software engineers and business stakeholders.
- Maintain documentation covering model architecture, experiments and deployment processes.
- Contribute to the development of reliable AI solutions that address business requirements.
Educational Qualification
- Bachelor of Engineering (BE)
- Bachelor of Technology (B.Tech)
- Master of Technology (M.Tech)
Experience
- 2–5 years of relevant professional experience.
Technical Background
- Strong programming skills in Python.
- Understanding of machine learning and deep learning concepts.
- Experience working with datasets, model development and evaluation.
- Familiarity with SQL, REST APIs and model deployment.
- Ability to work with technical teams to develop and maintain AI solutions.
Applicants should review the official Infosys vacancy to confirm any additional project-specific requirements before applying.
Programming and Data Analysis
- Python
- Pandas and NumPy
- Matplotlib
- SQL
- Git version control
Machine Learning and Deep Learning
- Scikit-learn
- XGBoost
- TensorFlow and Keras
- PyTorch
- Supervised and Unsupervised Learning
- Feature Engineering and Model Evaluation
AI Specialisations
- Natural Language Processing (NLP)
- Computer Vision
- Recommendation Systems
- Predictive Analytics
Generative AI and MLOps
- Generative AI and Large Language Models (LLMs)
- Prompt Engineering
- LangChain and Retrieval-Augmented Generation (RAG)
- Vector Databases such as Pinecone, ChromaDB and FAISS
- AWS, Microsoft Azure or Google Cloud Platform
- Docker, Kubernetes and CI/CD
- MLflow, Airflow or Kubeflow
The original listing identifies these technologies across its technical, additional and preferred requirements. Applicants should distinguish essential requirements from preferred skills when assessing their fit.
Infosys highlights the following preferred areas for this position:
- Machine Learning and AI Data Science
- Responsible AI and Ethical AI
- Generative AI and Prompt Engineering
Experience with cloud infrastructure, MLOps workflows and modern Generative AI tools can also be relevant to the additional responsibilities described in the vacancy.
Eligibles can apply for this drive online by clicking the link below. All upcoming interview details, exam schedules, and shortlisting updates will be sent directly to your registered email address.
👉 Click Here to Apply: Infosys Official website
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