Maimsd Technology is seeking a highly skilled and experienced AI/ML Engineer with a specialization in Generative AI. This role is pivotal in spearheading 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, particularly within the Generative AI domain.
Key Responsibilities:
AI Build Plan Development:
- Conduct in-depth analysis of business requirements and identify strategic 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 (Implicit for a Lead Role):
- 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, with a specific focus on Generative AI models, across various business domains.
- Ensure the quality, accuracy, and scalability of AI models.
- Monitor model performance and implement necessary improvements and optimizations.
Technology Evaluation and Adoption:
- Stay up-to-date with the latest advancements in AI/ML technologies, particularly in Generative AI.
- Evaluate new AI tools and platforms to identify potential benefits for the organization.
- Drive the adoption of cutting-edge AI technologies across the enterprise.
Required Qualifications:
- Strong proficiency in Python, C++, and deep learning frameworks such as Keras, TensorFlow, PyTorch, etc.
- Extensive experience in machine learning algorithms (e.g., CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures.
- Proven ability to create and optimize AI models for various use cases, with a focus on Generative AI applications.
- 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 (e.g., TF/ONNX/PyTorch).
- Demonstrated exposure to Generative AI technologies and their potential applications.
Preferred Qualifications:
- Experience in leading AI projects from inception to deployment.
- Knowledge of major 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.
