Machine Learning Engineer

At KWAN, we don't just offer jobs - we provide platforms for Building a Bright Future. We work with a wide range of technologies, and can align your unique skills, passions, and professional background to place you in a project that matters. Growth is very important in KWAN, and we will guide you throughout your career journey, with an entire team of dedicated People Managers.

Currently, we are seeking a Machine Learning Engineer who's eager to continuing to evolve, thrives on challenges, and is ready to embark in a new opportunity.

Responsibilities:

• Work closely with Data Scientists to bring ML-powered services into production;
• Build robust and scalable Web-based APIs to serve our ML models;
• Help building frameworks that reuse technical solutions to known problems, while also promoting solution sharing among projects/departments;
• Evangelize the adoption of frameworks that accelerate the solution of machine learning problems at scale;
• Be part of the creation of machine learning pipelines, referencing strategies from data collection to inference services building and deployment;
• Collaborate with DevOps, software architecture, and platform teams;
• Regularly contribute to the documentation of our systems and tools.

Requirements:

• At least 5 years of experience in similar roles;
• Experience with common data science languages, such as Python or R. Excellence in at least one of these is highly desirable;
• Fluency in one at least one OOP language such as C# or Java;
• Familiarity with machine learning libraries such as TensorFlow or Scikit-Learn;
• Familiarity with streaming/messaging platforms such as Kafka or RabbitMQ;
• Experience with at least one cloud platform such as Azure, AWS, GCP, etc;
• Proficiency in using query languages such as SQL, Spark SQL, etc;
• Experience with at least one NoSQL database, such as MongoDB, Redis, Cassandra, etc;
• Experience with at least one data processing tool such as Spark, Beam, Flink, etc;
• Living in Portugal (mandatory);
• Fluency in English (both written and spoken) is mandatory.

Offer:

• Empowering and respectful work culture where every voice matters.
• Personalized Coaching Program: Provided by in-house specialists, our People Managers
• Continuous Learning: Join our tech meetups and online trainings.
• Dynamic Community Culture: From movie and quizz nights to dinners and our annual summer gathering, we believe in having fun together.
• Celebrating You: Through our Rocket Points Employee Rewards System, we constantly recognize your contributions.

If this offer resonates with your career aspirations and you're ready to embrace an exciting new challenge, we encourage you to seize this opportunity.

Not sure yet? No problem! Reach out anyway, and let our team guide you through the best opportunities we have for you.

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