AI Engineer

Job Description

ABOUT THE JOB

We are seeking an experienced AI/ML Engineer to design, develop, and deploy advanced analytics, machine learning, deep learning, and Generative AI solutions that address complex business challenges within an enterprise environment.

The role focuses on delivering scalable, production-grade models that support business growth, risk management, operational efficiency, customer experience, and fraud detection initiatives. You will collaborate closely with cross-functional stakeholders, contribute to end-to-end MLOps processes, and ensure robust, secure deployment on cloud platforms in alignment with enterprise governance and compliance standards.

Your missions

• Develop and optimize advanced analytics, machine learning, deep learning, and GenAI models to address practical business problems.
• Independently design and implement analytical solutions serving objectives such as business growth, personalization, operational optimization, customer experience enhancement, or fraud detection.
• Participate in or lead the deployment of AI/ML/GenAI models and applications on cloud platforms (AWS, Azure, Google Cloud, Databricks).
• Process, visualize, and interpret data, connecting insights to business needs and recommending actionable solutions.
• Collaborate with cross-functional teams to integrate models into production environments.
• Evaluate, customize, and optimize statistical modeling, machine learning, deep learning, and GenAI algorithms for complex real-world problems.
• Apply advanced data analytics techniques including hypothesis testing, causal inference, handling data imbalance, time series analysis, inferential modeling, and vector embeddings.
• Contribute to end-to-end model development and operations processes (MLOps/LangOps), including data processing, training, evaluation, testing, deployment, and model monitoring.

About You

• Bachelor's degree in Computer Science, Information Technology, or related technical fields.
• Minimum of 35 years of experience in advanced analytics, machine learning/deep learning model development, and/or applying AI/GenAI to practical business problems.
• Proven experience in independently developing analytical models or solutions for business growth, personalization, operational optimization, customer experience enhancement, or fraud detection.
• Experience deploying AI/ML/GenAI models or applications on cloud platforms such as AWS, Azure, Google Cloud, Databricks.
• Strong experience in data processing, visualization, and interpretation, with the ability to connect insights to business needs and recommend actionable solutions.
• Preference for experience working in large organizations, banks, or technology companies.
• Solid understanding of statistical modeling, machine learning, deep learning, and GenAI algorithms, with the ability to evaluate, customize, and optimize techniques for complex real-world problems.
• In-depth knowledge and hands-on experience with advanced data analytics techniques, including hypothesis testing, causal inference, handling data imbalance, time series analysis, inferential modeling, and vector embeddings.
• Proficiency in Python and specialized libraries for machine learning, deep learning, and GenAI such as Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Hugging Face Transformers, as well as deployment tools like MLflow, Docker, and Git.
• Strong understanding of and ability to participate in implementing end-to-end model development and operations processes (MLOps/LangOps).
• English fluent. Additional languages are a plus.
• Preferred experience in NLP, computer vision, or speech.

WHY AMARIS

• Competitive salary and 13th-month salary
• 14+ annual leaves per year
• Premium healthcare insurance, starting from your probation period
• Project reviews and yearly performance appraisals
• Annual company trips
• Teambuilding activities: Team lunch/dinner, events, and celebrations, sports clubs (football, yoga, badminton, etc.)
• International team with flexible working time
• Tailor-made career path
• Technical workshops and training courses
• Mobility: Opportunities to be on-site abroad in our offices in over 60+ countries

Equal Opportunity

Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other 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!