Who are we?
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 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!
Job description
We are seeking an experienced Senior Machine Learning Engineer to develop, deploy, and maintain real-time ML models that support our banking operations, decision automation, and credit scoring. The ideal candidate will have strong expertise in AWS, Python, and MLOps, with a proven track record of managing large-scale models while ensuring their reliability, efficiency, and compliance.
Key Responsibilities:
- Design, develop, and deploy ML models using AWS SageMaker and EKS.
- Optimize ML models for real-time decision-making in high-traffic environments.
- Ensure models comply with regulatory and security standards.
- Build and maintain CI/CD pipelines for ML model deployments.
- Automate model retraining, monitoring, and logging using AWS Lambda, Terraform, and Control-M jobs.
- Implement observability tools such as OpenSearch, FluentBit, Prometheus, Kibana, Grafana, and AWS CloudWatch.
- Develop ETL/ELT pipelines for data preprocessing and feature engineering.
- Work with AWS Redshift to process large-scale datasets for model training.
- Monitor ML models running 24/7 in production, ensuring reliability and high availability.
- Collaborate closely with engineering teams to troubleshoot and optimize production systems.
- Participate in an on-call rotation for urgent ML pipeline issues.
- Work closely with data scientists, decision engineers, and credit engineers to align ML solutions with business needs.
- Take ownership of ML solutions and provide guidance to junior engineers.
- Contribute to the ongoing AI/ML strategy.
Profile Requirements:
Technical Skills:
- 5+ years of experience in Machine Learning Engineering.
- Strong expertise in Python, PySpark, SQL, and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with AWS ML services (Amazon SageMaker, EKS, Lambda, Redshift, Control-M, Terraform).
- Proficient in MLOps practices (CI/CD pipelines with GitHub Actions, Docker, Kubernetes).
- Familiarity with observability and monitoring tools: OpenSearch, FluentBit, Kibana, Prometheus, Grafana, CloudWatch.
- Strong understanding of real-time ML applications in financial environments.
- Experience in building and maintaining ETL pipelines in a cloud environment.
Soft Skills:
- Leadership & Ownership – Ability to work independently and drive ML initiatives.
- Problem-Solving – Strong troubleshooting skills for ML model failures in production.
- Strong Communication – Ability to work effectively with cross-functional teams.
- Agility – Adaptability to a fast-paced, high-stakes environment.
- Banking Industry Experience (Preferred) – Understanding of financial risk modeling and credit scoring models.
What We Offer:
- Opportunities for professional growth and development.
- A collaborative and innovative work environment.
- The chance to make a significant impact in the banking industry through advanced ML solutions.
You enjoy taking on challenges every day, and you are skilled at working independently and collaborating with your colleagues to bring added value to your projects. Thanks to a management approach and a personalized HR policy, you will be accompanied in the construction of your career within the company. Your interpersonal skills will be important assets for success in the function and to evolve within our group.
Amaris Consulting is committed to promoting diversity within its workforce and creating an inclusive work environment. We consider applications from all qualified individuals, regardless of their gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or any other characteristic. Special attention will be given to candidates with disabilities.