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Artificial Intelligence and Machine Learning Intern

AVEVAHyderabad, Banglore7h ago
hybridinternshipentry
354 views0 applicants

Job Description

Job Title: AI/ML Intern Level: A Department: R&D Job Type: Fixed term Reports To: R&D Manager We are looking for passionate interns to join our R&D team. In this role, you will help develop AI capabilities into our existing suite of products or help build AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem. You will part of a Scrum team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI solutions for real-world problems. Assist in data collection, preprocessing, and exploratory data analysis to ensure high-quality datasets for model training and evaluation. Implement, test, and optimize machine learning algorithms using relevant libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Contribute to the development and refinement of AI pipelines, including data ingestion, feature engineering, model selection, and validation. Conduct literature reviews to stay updated on the latest trends, techniques, and developments in the field of AI and machine learning. Document technical processes, experiments, and results to facilitate knowledge sharing and reproducibility within the team. Participate in code reviews, brainstorming sessions, and team meetings to foster a collaborative and innovative working environment. Present findings, analyses, and results effectively to both technical and non-technical stakeholders. Desired Skills and Knowledge in AI/ML: Solid understanding of foundational AI and machine learning concepts, including supervised and unsupervised learning, classification, regression, clustering, and model evaluation. Familiarity with algorithms such as linear regression, logistic regression, decision trees, support vector machines, neural networks, and ensemble methods. Proficiency in programming languages commonly used in AI/ML, such as Python or R, along with experience using relevant libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Knowledge of C# and .Net would be an advantage. Knowledge of data preprocessing techniques, feature selection, and dimensionality reduction. Basic experience with data visualization tools and techniques to communicate insights from data. Understanding of deep learning architectures particularly transformer models, and foundational knowledge of Large Language Models (LLMs) and generative AI concepts. Familiarity with prompt engineering techniques for interacting with generative AI models and basic knowledge of RAG (Retrieval Augmented Generation) architectures. Awareness of emerging AI interoperability standards, such as Model Context Protocol (MCP) and Agent2Agent (A2A), and their role in building interconnected AI systems. Ability to work with version control tools such as Git, and familiarity with collaborative development practices. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent written and verbal communication skills. Prior internships, coursework projects, or research experience in AI/ML is a strong plus. Why Join AVEVA? At AVEVA, we are unlocking the power of industrial intelligence to create a more sustainable and efficient world. AVEVA Connect platform is at the heart of that transformation. As a AI/ML developer, you will help shape how AI is delivered at scale across industries. Join us in driving the next wave of industrial innovation. Eligibility Criteria Academic performance - 70% & above throughout his/her career (10th, 12th and BE/B.Tech – till date) Year of passing – 2027 Eligible branches – AI/ML No standing arrears/backlogs during interview process & joining  Locations: Hyderabad, India Bangalore, India India Benefits include: Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities.

Key Responsibilities

  • Collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI solutions for real-world problems.
  • Assist in data collection, preprocessing, and exploratory data analysis to ensure high-quality datasets for model training and evaluation.
  • Implement, test, and optimize machine learning algorithms using relevant libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Contribute to the development and refinement of AI pipelines, including data ingestion, feature engineering, model selection, and validation.
  • Conduct literature reviews to stay updated on the latest trends, techniques, and developments in the field of AI and machine learning.
  • Document technical processes, experiments, and results to facilitate knowledge sharing and reproducibility within the team.
  • Participate in code reviews, brainstorming sessions, and team meetings to foster a collaborative and innovative working environment.
  • Present findings, analyses, and results effectively to both technical and non-technical stakeholders.
  • Desired Skills and Knowledge in AI/ML:
  • Solid understanding of foundational AI and machine learning concepts, including supervised and unsupervised learning, classification, regression, clustering, and model evaluation.

About AVEVA

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