Technical Lead (AI/ML)
Technical Lead (AI/ML)
Amaris Consulting6-8 Years
- Posted 12 hours ago
- Be among the first 10 applicants
Job Description
Job Description
ABOUT THE JOB
You will provide technical leadership across AI initiatives, helping build high-performance, scalable, and reliable AI platforms that address complex business challenges.
At Amaris Consulting, we believe in creating a thriving, positive workplace where every team member can grow, connect, and make a real impact. Here's what you can expect when you join our dynamic community:
At Amaris Consulting, we believe that diversity and inclusion are essential to building a workplace where everyone can thrive. We are committed to creating an inclusive environment where all employees and candidates are treated with respect and have equal opportunities, regardless of their background, identity, or personal characteristics.
Who are we
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!
ABOUT THE JOB
You will provide technical leadership across AI initiatives, helping build high-performance, scalable, and reliable AI platforms that address complex business challenges.
- Design and lead end-to-end AI/ML architectures, including data pipelines, feature stores, model training, deployment, and MLOps.
- Architect high-performance ML systems using deep learning, recommendation systems, and reinforcement learning.
- Build and optimize large-scale distributed AI and data platforms using cloud-native technologies, Kubernetes, Spark, and modern ML infrastructure.
- Design and develop real-time, low-latency inference solutions for scalable AI-powered products and services.
- Drive technical decisions and engineering best practices across AI/ML initiatives.
- Establish and promote AI governance, security, model risk management, and responsible AI practices.
- Collaborate with data, engineering, and business stakeholders to translate complex business challenges into scalable AI solutions.
- Provide technical guidance and leadership to ensure AI/ML solutions are reliable, secure, and production-ready.
- 6+ years of experience in Software Engineering or ML Engineering.
- Significant experience in AI/ML Architecture, AI/ML Platforms, or Technical Leadership.
- Proven experience designing and scaling end-to-end AI/ML systems in production.
- Strong knowledge of data pipelines, feature stores, model training/serving, and MLOps.
- Deep expertise in Machine Learning system design, including Deep Learning and Recommendation Systems.
- Experience with Reinforcement Learning is a plus.
- Strong hands-on knowledge of Kubernetes, Spark, and cloud-based ML platforms.
- Experience designing real-time, low-latency inference systems at scale.
- Understanding of AI governance, model risk management, security, and responsible AI.
- Strong technical leadership, communication, and problem-solving skills.
- Ability to work independently and drive technical initiatives from architecture through production.
At Amaris Consulting, we believe in creating a thriving, positive workplace where every team member can grow, connect, and make a real impact. Here's what you can expect when you join our dynamic community:
- Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
- Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
- Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
- Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
- Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
At Amaris Consulting, we believe that diversity and inclusion are essential to building a workplace where everyone can thrive. We are committed to creating an inclusive environment where all employees and candidates are treated with respect and have equal opportunities, regardless of their background, identity, or personal characteristics.
Who are we
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective Learn about you, understand your motivations, and make sure we have the right job for you!
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!
More Info
Key Skills
AI ML Platforms
Data Pipelines
Real-time Low-latency Inference Systems
Model Training
Recommendation Systems
Feature Stores
AI ML Architecture
Cloud-based ML Platforms
