AI/ML Engineer - Generative AI

Job Description

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.