IT Delivery

Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks
Data science tools: Num Py, Sci Py, Pandas, Matplotlib, Tensor Flow, 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.

Technology->Agentic AI->Agent Engineering,Technology->Generative AI->Prompt Engineering,Technology->Machine Learning->Generative AI

• 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

Education: MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech

Preferred skills: Technology->Generative AI->Prompt Engineering,Technology->Machine Learning->Generative AI,Technology->Agentic AI->Agent Engineering