AI/ML Engineer - Generative AI

We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives.
Responsibilities :AI Build Plan Development :- Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency.- Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation.- Prioritize AI initiatives based on business impact, feasibility, and ROI.- Collaborate with cross-functional teams to align AI strategy with overall business goals.AI Investment Strategy :- Define AI investment criteria and evaluate potential AI projects for funding.- Develop financial models to assess the ROI of AI initiatives and justify investments.- Manage AI budget allocation and track spending against the approved plan.AI Team Leadership :- Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals.- Provide technical guidance and mentorship to team members.- Foster a culture of innovation and experimentation within the AI team.AI Model Development and Deployment :- Oversee the development and deployment of AI models across various business domains.- Ensure the quality, accuracy, and scalability of AI models.- Monitor model performance and implement necessary improvements.Technology Evaluation and Adoption :- Stay up-to-date with the latest advancements in AI/ML technologies.- Evaluate new AI tools and platforms to identify potential benefits for the organization.- Drive the adoption of AI technologies across the enterprise.Required Qualifications :- Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.)- Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures.- Proven ability to create and optimize AI models for various use cases.- Deep understanding of performance and accuracy metrics for different AI models.- Experience with AI model optimization for CPUs and GPUs.- Knowledge of machine learning accelerators and related software.- Excellent communication and interpersonal skills.

- Strong analytical and problem-solving abilities.
- Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch).- Exposure to GenAI technologies and their potential applications.Preferred Qualifications :- Experience in leading AI projects from inception to deployment.- Knowledge of cloud platforms (AWS, Azure, GCP).- Experience with big data technologies and tools.- A Master's or Ph.D. degree in computer science, statistics, or a related field.