An application made for this job — a tailored resume and cover letter that speak straight to the posting.
ALLPS is seeking a Machine Learning Engineer to design, develop, and deploy ML models in a remote, globally distributed team. You will work with TensorFlow, PyTorch, Scikit-learn, Keras and Python to deliver solutions on AWS and GCP, while upholding data privacy and security standards.
The role offers exposure to international clients and a fast-paced AI-driven environment. You will collaborate with data scientists and product teams, communicate complex concepts clearly, and stay current with
Job Title: Machine Learning Engineer
We are seeking an experienced Machine Learning Engineer with a minimum of 2+ years of hands-on experience to join our dynamic team. The ideal candidate should possess expertise in various machine learning libraries such as TensorFlow, Scikit-learn, Keras, and PyTorch, using Python as the primary programming language.
In addition, candidates must be proficient in cloud computing platforms like AWS and GCP. Experience in cybersecurity and data privacy is highly desirable to ensure our machine learning models are built with robust security measures and adhere to strict privacy standards.
As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models that drive our business objectives.
Your role will involve:
Strong communication skills are essential as this is a remote position. The ability to work independently, manage priorities, and meet deadlines is crucial for success in this role.
If you are passionate about machine learning and want to make a significant impact on our products and services, we would love to hear from you!
Who We Are : ALLPS is a Switzerland-based technology and AI company focused on building high-quality remote IT teams and AI-powered hiring solutions for global enterprises. Founded in 2017 and headquartered in Zurich, the company operates across Europe, India, and international markets, helping organizations accelerate digital transformation through talent, software, and AI solutions.
What to Expect : After an initial application review, shortlisted candidates go through an AI-powered video screening to assess communication skills, relevant experience, business judgment, and role-specific expertise. Selected candidates then participate in discussions with the HR and functional teams, followed by a technical or leadership round focused on practical problem-solving, collaboration, and alignment with our fast-paced technology-driven culture. We value clear communication throughout the process and aim to provide candidates with a smooth, professional, and engaging hiring experience from application to onboarding.
Why you will love it here : We are building the future of AI-powered hiring and remote technology teams. Our culture combines innovation, ownership, collaboration, and continuous learning in a fast-moving global environment.We believe in empowering people with the freedom to innovate, contribute ideas, and work on impactful projects that shape the future of recruitment and AI technology. Our teams work across international markets, collaborating closely with clients, engineers, product teams, and AI specialists.Benefits & PerksCompetitive compensation packageRemote work environmentExposure to international clients and projectsOpportunity to work with emerging AI technologies and enterprise SaaS platformsCareer growth and learning opportunitiesHigh-impact roles with ownership and decision-making exposureCollaborative and inclusive team cultureWork-life balance with flexible and outcome-driven environmentOpportunity to contribute directly to product innovation and company growth
This takes about 5 minutes to complete.
We match your CV and responses to the role using AI-assisted technology.
Some roles include a short AI-assisted video screening interview. You can complete it right after applying or within the time frame in your confirmation email.
A recruiter or hiring team member reviews every application and video interview - AI supports the process but never makes the final decision.