October 17, 2023
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Singapore, Singapore
October 17, 2023
Apply NowJob description
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 7,500 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
Job Summary
AI and Machine Learning Engineers are responsible for designing, developing, and deploying artificial intelligence (AI) and machine learning (ML) systems. They work with data scientists to understand business needs and develop ML models to solve complex problems. They also work with software engineers to integrate ML models into existing systems and applications.
Responsibilities
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
Job Summary
AI and Machine Learning Engineers are responsible for designing, developing, and deploying artificial intelligence (AI) and machine learning (ML) systems. They work with data scientists to understand business needs and develop ML models to solve complex problems. They also work with software engineers to integrate ML models into existing systems and applications.
Responsibilities
- Collaborate with data scientists and product managers to understand business needs and develop ML solutions
- Design and develop ML models using a variety of algorithms and tools
- Evaluate and optimize ML models for performance and accuracy
- Deploy ML models to production environments and monitor their performance
- Work with software engineers to integrate ML models into existing systems and applications
- Stay up-to-date on the latest AI and ML technologies and best practices
- Master's degree in Computer Science, Data Science, or a related field
- Several years of experience in ML model development and deployment
- Strong programming skills in Python, R, or a similar language
- Experience with cloud computing platforms such as AWS, Azure, or GCP
- Experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn
- Excellent problem-solving and analytical skills
- Ability to work independently and as part of a team
- Experience with natural language processing (NLP)
- Experience with computer vision
- Experience with deep learning
- Experience with DevOps and CI/CD practices
