AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
- Researching and implementing scalable AI systems that meet business requirements.
- Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
- Monitoring and optimizing learning processes to improve high-performance models.
- This position may have travel requirements as needed to engage with external clients regularly.
- Strong analytical and decision-making skills to guide project direction.
- Proven experience in project management and tracking deliverable completion.
- Ability to build and maintain relationships with clients and team members.
- Excellent communication skills to convey complex ideas effectively.
- A Bachelor’s degree required (4-year degree).
- 3-6 years of full-time working experience in AI and/or Machine Learning
- Strong skills in Python
- Ability to 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 Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
- Experience with natural 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 and ML workflows, including data ingestion, transformation, and evaluation
- Experience with model retraining and feedback loop methodologies
- Experience with model and solution monitoring and reporting
- Understanding of data structures, data modelling, and software engineering best 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, with a willingness to travel for client engagements
- Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
- Experience in hybrid collaboration and emotional agility
- A track record of working with diverse teams to drive outcomes through complex problem-solving
- Knowledge of sustainability practices in technology
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
- Experience fine-tuning Generative AI models
- Experience with image processing techniques and/or speech and audio processing and analysis
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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