EY · 15 hours ago
AI & Machine Learning Engineering Consultant - TMT Sector - Manager - Consulting - Location OPEN
Grand Rapids, MI
Full-time
Hybrid
Mid, Senior Level
$126K/yr - $230K/yr
6+ years expEY is a globally connected powerhouse of diverse teams dedicated to building a better working world. The AI & Machine Learning Engineering Consultant will lead the delivery of innovative solutions in the telecommunications, media, and technology sectors, focusing on the development and implementation of scalable AI systems and data analytics solutions for clients.
AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
Responsibilities
Leading workstream delivery and ensuring the effective management of processes and projects
Continuously improving processes by identifying innovative solutions through research and analysis
Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance 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
Qualification
Required
Extensive experience in telecommunications, media, or technology sectors, with a strong understanding of industry trends
Experience with Telecom customer lifecycle – Marketing, acquisition, onboarding, billing, customer care
Experience with Telecom network management – install, maintenance and repairs, network and call data collection, network optimization
Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications
Understanding of revenue assurance – data, systems and processes
Knowledge of regulatory and compliance considerations specific to the TMT sector
Experience with OSS/BSS systems – implementation, enhancement, maintenance and support
Familiarity with telecommunications protocols (e.g., 5G, LTE, fiber) and their implications for data science
Proven ability to design and implement machine learning solutions that enhance network performance and customer experience
Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics
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 including engineers and architects
Strong skills in Python
Extensive experience in telecommunications sector, with a strong understanding of industry trends
Proven ability to design and implement machine learning solutions that enhance network performance and customer experience
Familiarity with telecommunications protocols (e.g., 5G, LTE) and their implications for data science
Experience analyzing large-scale datasets from telecommunications networks, including call detail records and performance metrics
Knowledge of streaming video and audio technologies, including analytics and content recommendation systems
Experience with multi-modal models, including vision-language models
Understanding of customer segmentation, churn prediction, and recommendation systems tailored to media and telecommunications
Knowledge of regulatory and compliance considerations specific to the TMT sector
Experience with real-time data processing frameworks (e.g., Apache Kafka)
Familiarity with cloud-based telecommunications solutions (e.g., AWS, Azure)
Experience with network optimization algorithms and techniques
Knowledge of emerging technologies such as edge computing and IoT
Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG)
Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries
Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions
Experience with MLOps methods and platforms such as MLFlow
Experience with CI/CD and test-driven development
Experience designing, building, and maintaining ML models, frameworks, and pipelines
Experience designing and deploying end to end ML workflows on at least one major cloud computing platform
Understanding of data structures, data modelling and software engineering best practices
Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark
Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
Experience with containerization and scaling models
Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications
Deep Learning expertise
Proficiency in Mathematics, Statistics, and Operations Research
Experience with Machine Learning techniques
Knowledge of Data Architecture Design and Modelling
Familiarity with Cloud Computing environments
Skills in Technical Design Optimization
Experience with Continuous Integration and Continuous Delivery/Deployment
Understanding of Natural Language Processing and Generation
Knowledge in Image Processing and Analysis
Skills in Speech and Audio Processing and Analysis
Ability to scale models effectively
Strong relationship-building skills
Demonstrated client trust and value
Effective communication skills with impact
Digital fluency and emotional agility
Experience in hybrid collaboration
Commercial acumen and negotiation skills
Proven ability to lead teams and manage change
Strong mathematical and quantitative skills including calculus, linear algebra, and statistics
Willingness to travel to meet client obligations
BS in STEM with significant focus on AI, Computer Science, Data Science or ML
Preferred
MS in AI, Data Science or ML
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 another 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
Benefits
Medical and dental coverage
Pension and 401(k) plans
A wide range of paid time off options
Flexible vacation policy
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence when needed to support your physical, financial, and emotional well-being
Company
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.
10001+ employees
H1B Sponsorship
EY has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10242)
2024 (9877)
2023 (10966)
2022 (9394)
2021 (5652)
2020 (8849)
Funding
Current Stage
Late StageLeadership Team
Jonathan Williamson
Chief Operating Officer
Abhishek Sen
Partner
Recent News
2026-01-16
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