Senior AI Solutions Engineer — Forward Deployed
EY
Obtenez une réponse de cet employeur
Votre CV et votre lettre de motivation, adaptés exactement à ce que l’employeur recherche.
Avantages offerts par ce poste
Résumé du poste
EY is seeking a Senior Forward Deployed Engineer to lead AI/ML solutions for clients across cloud and on-prem environments. You will diagnose business problems, identify AI opportunities, and build scalable AI systems with a focus on data pipelines, observability, and responsible AI practices.
You will work with a multidisciplinary team, collaborate with clients, and travel as needed to deliver outcomes. Strong Python, ML, and MLOps experience are essential, with familiarity in
Qualifications
- Bachelor's degree required in a relevant field.
- 3-6 years of full-time AI/ML experience.
- Strong Python skills.
- Experience with production AI/ML on major cloud platforms.
- Proficiency with foundation models and generative AI frameworks.
- Experience with ML workflows, data ingestion, transformation, and evaluation.
- Knowledge of responsible AI practices and software engineering best practices.
- Willingness to travel for client engagements.
Responsabilités
- Translate client challenges into scoped AI opportunities and implement scalable AI/ML solutions.
- Design AI-native applications and integrate data pipelines for accuracy and cleanliness.
- Deploy, monitor, and optimize learning processes and models.
- Demonstrate measurable value and identify next use cases; travel to engage with clients as needed.
Connaissances
Formation
Outils
Description du poste
EY is seeking a Senior Forward Deployed Engineer to lead AI/ML solutions for clients across cloud and on-prem environments. You will diagnose business problems, identify AI opportunities, and build scalable AI systems with a focus on data pipelines, observability, and responsible AI practices.
You will work with a multidisciplinary team, collaborate with clients, and travel as needed to deliver outcomes. Strong Python, ML, and MLOps experience are essential, with familiarity in
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
