Note: The job is a remote job and is open to candidates in USA. EY is a professional services organization providing consulting and technology services to clients. The Manager in Model Engineering will lead the design, development, deployment, and optimization of scalable AI, machine learning, generative AI, and agentic AI solutions while managing multidisciplinary teams and client engagements.
Responsibilities
- Leading AI workstreams from solution design through production deployment and ongoing optimization
- Continuously improving processes by identifying innovative solutions through research and analysis
- Managing multidisciplinary teams to deliver complex AI engineering initiatives, with accountability for quality, responsible deployment, and results
- Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure
- Identifying opportunities for additional services and managing engagement economics
Skills
- The following attributes will make a significant impact:
- Proven ability to develop solutions to complex problems and recommend changes to policies and procedures
- Strong judgment in selecting methods and techniques for obtaining results
- Experience in managing client relationships and delivering high-quality service
- Ability to lead teams effectively and manage change within the organization
- A Bachelor's degree required (4-year degree)
- 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
- 2-4 years of experience directly managing technical teams
- Strong skills in Python
- Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams
- Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
- Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
- Experience withnatural language processing and deep learning
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing,deploying, and scaling analytical solutions
- Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation
- Experience with model retraining and feedback loop methodologies
- Experience with model and solution evaluation, observability, monitoring, and reporting
- Understanding of data structures, data modeling, software engineering, and Responsible AI practices
- Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
- Excellent communication skills for conveying findings and recommendations
- Skills in Technical Design Optimization
- Strong relationship-building skills
- Demonstrated client trust and value
- Digital fluency and emotional agility
- Commercial acumen and negotiation skills
- Proven ability to lead teams and manage change
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
- Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field
- Experience working with diverse teams to deliver complex solutions
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
- Experience fine-tuning Generative AI models
- Experience in managing complex projects with multiple stakeholders
- A strong understanding of industry trends and emerging technologies
- Skills in data visualization and storytelling with data
- Experience with image processing techniques and/or speech and audio processing and analysis
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
Company Overview
Company H1B Sponsorship