Artificial Intelligence and Machine Learning Graduate
- Aveva
- 3 - 7 years
- Hyderabad
- 3 months ago
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Job Description
- We are looking for passionate graduates 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 AVEVAs 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: AvevaLocation(s): Hyderabad+ View Contact
Keyskills: python numpy machine learning pandas tensorflow c# scikit-learn aiml artificial intelligence r git exploratory data analysis support vector machine pytorch .net data visualization logistic regression machine learning algorithms ml
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