AI Engineer

Role Overview: As an AI Engineer at Netweb Technologies, your role will involve leading the design, development, and implementation of artificial intelligence (AI) solutions within the organization. You will be responsible for driving AI initiatives, collaborating with cross-functional teams, and ensuring the successful delivery of AI projects aligning with business objectives. Key Responsibilities: - Develop and execute AI strategy and roadmap. - Identify opportunities for AI-driven innovation and competitive advantage. - Lead a team of AI engineers and data scientists in designing and implementing AI solutions. - Provide technical guidance, mentorship, and support to team members. - Architect scalable and robust AI systems, including data pipelines, machine learning models, and inference engines. - Evaluate and select appropriate AI technologies, frameworks, and tools. - Lead the end-to-end development lifecycle of AI projects, from concept to production deployment. - Collaborate with data engineers, software developers, and domain experts to integrate AI solutions into existing systems. - Oversee the development and optimization of machine learning models, deep learning algorithms, and natural language processing (NLP) solutions. - Conduct performance tuning, hyperparameter optimization, and model evaluation. - Ensure data quality, integrity, and security across AI workflows. - Implement data governance policies and best practices for AI-driven applications. - Drive experimentation and prototyping of new AI techniques, algorithms, and technologies. - Stay updated with the latest advancements in AI research and apply relevant innovations to projects. - Collaborate with stakeholders, product managers, and business leaders to understand requirements and priorities. - Communicate technical concepts, project status, and outcomes effectively to nontechnical stakeholders. Qualifications: - Bachelors or masters degree in computer science, Engineering, or related field. - Strong Knowledge in Linux. - Strong programming skills in languages such as Python, C, or C++, with experience in AI frameworks like TensorFlow, PyTorch, or Scikit-Learn. - Solid understanding of data science concepts, statistical analysis, and data visualization. - Excellent leadership, communication, and problem-solving skills. - Ability to work in a fast-paced, collaborative environment and manage multiple priorities effectively.,