Senior ML Engineer
Antwerp, Vlaams Gewest, Belgium
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Faktion
Faktion is a boutique AI firm, and combines deep industry experience and machine learning expertise, hereby successfully enabling leading organizations to grow their top line or strengthening their bottom line, by using artificial intelligence.As a Senior Machine Learning Engineer, you will be at the forefront of developing cutting-edge AI solutions for enterprises. You will both be implementing existing models, as join the development of custom models. In this position, you will leverage your expertise in machine learning to develop solutions that improve the efficiency or profitability of our customers. You like engaging with customers and colleagues and have a passion for building meaningful solutions using machine learning.
Some key responsibilities:
In your senior role, you assume the position of tech lead on projects, guiding junior colleagues through both technical and client-related aspects. You also play a pivotal role internally, propelling our company's technical prowess and enhancing our offerings to clients
You adeptly comprehend the business needs of customers and convert these into comprehensive technical solutions
Utilize Python to implement production-ready pipelines and machine learning models in the Cloud
Investigate the latest in machine learning research and lead the internal assessment and integration of innovative tools and frameworks
Ensure the high-standard completion of projects managed by your team
Provide technical mentorship to junior machine learning engineers
Conduct workshops for clients, showcasing your knowledge and skills
Apply your expertise to assist the sales team in qualifying and securing exciting new projects
Requirements
Excellent written and verbal communication skills in native-English or native-Dutch (French is a plus).
Master's or PhD in Computer Science, Artificial Intelligence, or other quantitative field
Minimum of 5 years of experience in machine learning
Proficiency in programming languages such as Python, Java, or Scala.
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
Proven track record of developing and deploying scalable machine learning models.
Excellent problem-solving and analytical skills.
Experience with cloud computing platforms (Microsoft Azure is a plus)
Following experiences are a plus:
Publications in relevant AI/ML conferences and journals is a plus
Experience in mentoring and leading technical teams
Strong communication and teamwork abilities
Experience in one of our focus domains: GenAI, NLP, Vision, Time Series Data, MLOps, Digital Twins, Manufacturing, Finance
We offer:
A rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalization and group insurance, along with a top-tier laptop and smartphone.
Benefit from a company culture that stimulates both individual and team development, fostering your professional growth.
Utilize your innovation budget for engaging in exciting, educational, and challenging open-source projects within your guild.
Participate in (virtual) team-building activities and gatherings, a great opportunity to unwind and engage with our vibrant team initiatives.
A flexible hybrid working-policy to choose where, how, and when you want to work.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Finance Generative AI Java Machine Learning ML models MLOps NLP Open Source PhD Pipelines Python PyTorch Research Scala TensorFlow
Perks/benefits: Career development Conferences Flex hours Gear Startup environment Team events
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