[Remote] AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN Job Details | EY
Note: The job is a remote job and is open to candidates in USA. EY is a global leader in assurance, consulting, tax, and strategy services, aiming to build a better working world. They are seeking a Senior AI & Machine Learning Engineering Consultant who will be responsible for researching, building, and implementing scalable AI systems while collaborating with clients to deliver innovative AI solutions.
Responsibilities
- 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
Skills
- 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
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- A wide range of paid time off options
- Team-led and leader-enabled hybrid model
- Flexible vacation policy
- 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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