IT Delivery

Key Responsibilities:

• Machine learning algorithms Linear regression logistic regression decision trees random forests support vector machines neural networks
• Data science tools NumPy SciPy Pandas Matplotlib TensorFlow Keras
• Cloud computing platforms AWS Azure GCP
• Natural language processing NLP Transformer models attention mechanisms word embeddings
• Computer vision Convolutional neural networks recurrent neural networks object detection
• Robotics Reinforcement learning motion planning control systems
• Data ethics Bias in machine learning fairness in algorithms
• Responsible AI Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling transparency and accountability in all stages of AI development
• Must demonstrate a commitment to upholding privacy standards mitigating bias and fostering trust within data driven initiatives
• LLM Pipeline Creation Strong experience in designing data pipelines including data preprocessing feature extraction and model integration
• Familiarity with best practices for creating efficient and scalable pipelines
• Leadership Skills Proven leadership capabilities to guide and mentor a team of developers
• Ability to provide technical direction solve challenges and inspire innovation within the team

Technical Requirements:

• Technology Agentic AI Agent Engineering Technology Generative AI Prompt Engineering Technology Machine Learning Generative AI

Additional Responsibilities:

• Knowledge of more than one technology
• Basics of Architecture and Design fundamentals
• Knowledge of Testing tools
• Knowledge of agile methodologies
• Understanding of Project life cycle activities on development and maintenance projects
• Understanding of one or more Estimation methodologies Knowledge of Quality processes
• Basics of business domain to understand the business requirements
• Analytical abilities Strong Technical Skills Good communication skills
• Good understanding of the technology and domain
• Ability to demonstrate a sound understanding of software quality assurance principles SOLID design principles and modelling methods
• Awareness of latest technologies and trends
• Excellent problem solving analytical and debugging skills

Preferred Skills:

Technology->AI-Generative AI->Prompt Engineering,Technology->AI-Generative AI->Generative AI - Basic,Technology->AI-Agentic AI->Agent Engineering