Engineer Manager - AI & ML Platform

Full Description

Job Requisition ID #

25WD85267

25WD85267 Engineer Manager - AI & ML Platform

French translation to follow!/

Position Overview

We are seeking a hands-on Engineering Manager to lead our skilled team of software and ML engineers in the design, development, and maintenance of AMP, our next generation machine learning platform.

Your management role extends beyond providing technical leadership; you will be a pivotal figure in fostering collaboration with partners and driving platform adoption.

Collaborating closely with cross-functional teams including product management, data science, and infrastructure, you will define and execute the AI/ML platform roadmap.

Your responsibilities encompass driving the technical strategy, execution, and delivery of scalable AI/ML platforms, ensuring alignment with organizational goals and priorities.

This role requires a blend of technical expertise in AI/ML technologies, strong leadership skills, and a proven track record of delivering complex projects on time and within budget.

Responsibilities

• Lead and mentor a team of engineers in the development and deployment of AI/ML solutions

• Collaborate with cross-functional teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap

• Provide sound technical guidance and drive crucial technology decisions

• Actively participate in coding review processes, and problem-solving alongside your team

• Stay updated with the latest advancements in AI/ML technologies

• Provide guidance of the design and architecture of scalable, reliable, and efficient AI/ML systems

• Ensure adherence to best practices in software development, code quality, and security standards

• Manage project timelines and resource allocation to drive deliverables

• Foster a culture of innovation, agility, collaboration, and continuous improvement within the engineering team

• Actively participate in the hiring process to attract and onboard top-tier engineering talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision

Minimum Qualifications

• BS/MS in Computer Science, Engineering, or a related field. (MS preferred)

• Minimum of 3 years of experience of software engineering, with at least 3 years in a leadership or management role

• Proven experience leading and mentoring software and ML engineering teams.

Ability to inspire, motivate, and guide team members towards achieving project goals

• Ability to align technical objectives with business goals.

Skilled at roadmap development, setting clear objectives, and prioritizing tasks

• Ability to plan, execute, and deliver projects timely and efficiently allocate resources and managing workload distribution among team members

• Skilled in identifying potential project risks and developing mitigation strategies

• Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks

• Ability to design and build scalable, high-performance systems with understanding of cloud services (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)

• Solid understanding of agile software development methodologies and management practices

• Working knowledge of CI/CD pipelines, automation tools, and practices for machine learning lifecycle management

• Excellent communication skills to effectively liaise with various stakeholders, including product managers, data scientists, and upper management

• Ability to foster a collaborative team environment

• Managers of Professional roles - and/or managers of people that manage Support roles

• Manages work for medium size team, or multiple small teams and achieves results by directing work through supervisors/team leads and professional employees

• Typically focused on areas of subject matter expertise within one discipline

• Keep their teams organized, efficient, effective, productive, and motivated through professional leadership techniques

• Responsible for managing deliverables against expected results with a timeline that is typically longer than a quarter

• Focus is more operational, and decisions are typically made within established policies, procedures and objectives

Preferred Qualifications

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, specifically AWS SageMaker or Azure Machine Learning

• Prior experience in building AI/ML platforms

• Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment

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25WD85267 Ingenieur Manager - Plateforme IA & ML

French translation to follow!/Traduction francaise a suivre !

Presentation du poste

Nous recherchons un ingenieur manager pour diriger notre equipe d'ingenieurs logiciels et ML dans la conception, le developpement et la maintenance d'AMP, notre plateforme d'apprentissage automatique de nouvelle generation.

Votre role de manager va au-dela de la direction technique ; vous serez une figure centrale dans la promotion de la collaboration avec les partenaires et l'adoption de la plateforme.

En etroite collaboration avec des equipes interfonctionnelles, notamment la gestion des produits, la science des donnees et l'infrastructure, vous definirez et executerez la feuille de route de la plateforme IA/ML.

Vos responsabilites comprennent la conduite de la strategie technique, l'execution et la livraison de plateformes IA/ML evolutives, en veillant a l'alignement avec les objectifs et les priorites de l'organisation.

Ce poste requiert une combinaison d'expertise technique dans les technologies IA/ML, de solides competences en leadership et une experience averee dans la realisation de projets complexes dans le respect des delais et du budget.

Responsabilites

• Diriger et encadrer une equipe d'ingenieurs dans le developpement et le deploiement de solutions d'IA/AA

• Collaborer avec des equipes interfonctionnelles, notamment la gestion des produits, la science des donnees, les donnees et l'infrastructure cloud, pour definir et executer la feuille de route de la plateforme d'IA/AA

• Fournir des conseils techniques avises et prendre des decisions technologiques cruciales

• Participer activement aux processus de revision du codage et a la resolution de problemes aux cotes de votre equipe

• Se tenir au courant des dernieres avancees en matiere de technologies d'IA/AA

• Fournir des conseils sur la conception et l'architecture de systemes d'IA/ML evolutifs, fiables et efficaces

• Veiller au respect des meilleures pratiques en matiere de developpement de logiciels, de qualite du code et de normes de securite

• Gerer les delais des projets et l'allocation des ressources pour obtenir des resultats

• Favoriser une culture d'innovation, d'agilite, de collaboration et d'amelioration continue au sein de l'equipe d'ingenierie

• Participer activement au processus de recrutement pour attirer et integrer les meilleurs talents en ingenierie, en veillant a ce que l'equipe possede les competences et l'expertise necessaires pour concretiser la vision de la plateforme IA/AA

Qualifications minimales

• Licence/Master en informatique, ingenierie ou dans un domaine connexe. (Master de preference)

• Au moins 3 ans d'experience en genie logiciel, dont au moins 3 ans dans un role de direction ou de gestion

• Experience averee dans la direction et l'encadrement d'equipes d'ingenierie en logiciels et en AA Capacite a inspirer, motiver et guider les membres de l'equipe vers la realisation des objectifs du projet

• Capacite a aligner les objectifs techniques sur les objectifs commerciaux.

Competences en matiere d'elaboration de feuilles de route, de definition d'objectifs clairs et de hierarchisation des taches

• Capacite a planifier, executer et livrer des projets en temps voulu et de maniere efficace, a allouer des ressources et a gerer la repartition de la charge de travail entre les membres de l'equipe

• Competences en matiere d'identification des risques potentiels des projets et d'elaboration de strategies d'attenuation

• Solide experience en IA/ML avec une expertise en apprentissage profond, en modelisation statistique et en reseaux neuronaux

• Capacite a concevoir et a construire des systemes evolutifs et performants avec une bonne comprehension des services cloud (AWS, GCP, Azure) et des technologies de conteneurisation (Docker, Kubernetes)

• Solide comprehension des methodologies de developpement logiciel agiles et des pratiques de gestion

• Connaissance pratique des pipelines CI/CD, des outils d'automatisation et des pratiques de gestion du cycle de vie de l'apprentissage automatique

• Excellentes competences en communication pour assurer une liaison efficace avec les differentes parties prenantes, notamment les chefs de produit, les scientifiques des donnees et la direction generale

• Capacite a favoriser un environnement d'equipe collaboratif

• Gestionnaires de Roles professionnels - et/ou gestionnaires de personnes qui gerent des Roles de soutien

• Gere le travail d'une equipe de taille moyenne ou de plusieurs petites equipes et obtient des resultats en dirigeant le travail par l'intermediaire de superviseurs/chefs d'equipe et d'employes professionnels

• Generalement axe sur des domaines d'expertise dans une discipline

• Garde ses equipes organisees, efficaces, productives et motivees grace a des techniques de leadership professionnel

• Responsable de la gestion des livrables par rapport aux resultats attendus avec un calendrier generalement plus long qu'un trimestre

• L'accent est davantage mis sur les operations et les decisions sont generalement prises dans le cadre de politiques, de procedures et d'objectifs etablis

Qualifications preferees

• Connaissance des plateformes cloud telles que AWS, Azure ou Google Cloud Platform, en particulier AWS SageMaker ou Azure Machine Learning

• Experience prealable dans la creation de plateformes d'IA/ML

• Comprehension des principes et des pratiques MLOps pour gerer et automatiser efficacement les workflows d'apprentissage automatique, y compris le versionnage, la surveillance et le deploiement des modeles

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