{"id":2716398,"url":"https://alion.io/job/ey-ct-nitro-experimental-ai-engineer","title":"CT_NITRO Experimental AI Engineer","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Alpharetta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":92600,"max":173100,"currency":"USD","period":"year","gross":null,"usd_annual":173100},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Keras","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLlib","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-16T13:54:38Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-20T00:36:39Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"At EY, we’re all in to shape your future with confidence.\nWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.\nThe selected candidate\nLeads the design, development, and deployment of advanced generative AI models, including large language models (LLMs), driving innovation and solving complex business challenges\nOversees the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes\nWorks on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability\nMentors and guides junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools\nPartners with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact\nYour key responsibilities include\nImplementing AI solutions that integrate seamlessly with existing business systems to enhance functionality and user interaction.\nReviewing complex data sets to establish data quality and highlighting where data cleansing is required to remediate the data\nDesigning and implementing data models to manage data within the organization,\nMigrating data from one system to another using multiple sources, identifying and implementing storage requirements\nAnalyzing the latest trends such as cloud computing and distributed processing, and their uses in business, building industry knowledge\nPeer reviewing models and working with relevant business areas to seek their input and ensuring they are fit for the designed purpose\nAutomating important infrastructure for the data science team.\nStaying current with AI trends and suggesting improvements to existing systems and workflows.\nSkills and attributes for success\n8+ years’ experience in machine learning, large scale data acquisition, transformation, and cleaning, both structured and unstructured data\nExperience with generative LLM fine-tuning and prompt engineering.\nProficiency with data wrangling, visualization, and modeling in Python\nExperience in ML/NLP algorithms, including supervised and unsupervised learning.\nGood knowledge with cloud ecosystems, Azure is preferred \nExperience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib)\nStrong programming skills in Python \nExperience with tools in the distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus\nExperience with SQL, Document DBs and Vector DBs\nBatch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period Data \nVisualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization\nKnowledge of containerization platforms like Docker is a plus.\nExperience with Git and modern software development workflow.\nNon-Technical Skills:Strong team and business communication skills - can walk through and approach with technical clients or explain tricky concepts to non-technical people\nMust thrive in a fast-paced environment and be able to work independently. \nExcellent in communication skills\n\nEducationBachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences or related fields preferred\n\nWhat we look for\nStrong analytical skills and problem-solving ability\nA self-starter, independent-thinker, curious and creative person with ambition and passion\nExcellent inter-personal, communication, collaboration, and presentation skills\nCustomer focused \nExcellent time management skills \nPositive and constructive minded \nTakes responsibility for continuous self-learning \nTakes the lead and makes decisions in critical times and tough circumstances\nAttention to detail \nHigh levels of integrity and honesty \nWhat we offer you\nThe compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.\nWe 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 $92,600 to $173,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $111,100 to $196,800. 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.\nJoin 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.\nUnder 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.\nAre you ready to shape your future with confidence? Apply today.\nEY accepts applications for this position on an on-going basis.\nFor those living in California, please click here for additional information.\nEY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.\nEY | Building a better working world\nEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.\nEnabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.\nEY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.\nEY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.\nEY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .","description_format":"text","description_chars":7991,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible vacation policy"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-16T13:54:38Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 6,599 · green card filings: 694","filings_12m":6599,"filings_prev_12m":9468,"green_card_filings_12m":694,"median_offered_wage_usd":156073,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":894}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":22,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":{"stated_usd_annual":173100,"is_top_pay":false},"html_url":"https://alion.io/job/ey-ct-nitro-experimental-ai-engineer","json_url":"https://alion.io/job/ey-ct-nitro-experimental-ai-engineer.json","meta":{"generated_at":"2026-10-20T03:06:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3409,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-ct-nitro-experimental-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fey-ct-nitro-experimental-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fey-ct-nitro-experimental-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ey-ct-nitro-experimental-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-ct-nitro-experimental-ai-engineer"}]}