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.