Job Overview
ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.
Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.
With our Client from Berlin from e-commerce sector, We are seeking for experienced ML Engineer to join the team !
Job Description
Your Responsibilities:
Collaborate with machine learning experts to develop, train, and research new models and approaches. Independently develop new machine learning pipelines (e.g., AWS Sagemaker) and integrate serverless applications. Integrate developed models into idealo’s value chain, ensuring scalability and maintainability in cooperation with other teams. Continuously optimize our cloud-native system. Make decisions about new architectures and solution approaches with the team. Develop feedback loops to generate new training data as part of the machine learning lifecycle. Participate in shaping the company’s strategy and vision, leading discussions with teams and colleagues.
Must-Haves
Profile / Requirements :
Solution-oriented mindset with the ability to question the status quo and communicate new ideas effectively. Authenticity and strong communication skills. Experience in machine learning (preferably in natural language processing, transformer models, ML Ops). Initial experience with cloud platforms (AWS, Azure, Google Cloud) with a desire to expand your expertise. Familiarity with serverless applications and Infrastructure as Code (IAC). Proficiency in Python and PyTorch. VALID EU WORK PERMIT and location in Poland
Nice-to-Haves
A proactive attitude to help idealo overcome technological challenges. Experience with image/text classification, entity resolution, or multimodal models. Skills in Java, Scala, Spark. Join us and be part of a team that’s not just working with cutting-edge technology but is also shaping the future of e-commerce. If you’re ready to bring your passion for machine learning and innovation.
Benefits
Competitive Salary
Flexible Working Hours
Remote Work
Professional Development Opportunities
Health Insurance
Pre – paid card or mulstisport
Apply now !
AO2883
Job Detail
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