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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 !
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 idealos 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 companys strategy and vision, leading discussions with teams and colleagues.
Must-Haves:- 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 PolandNice-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 thats not just working with cutting-edge technology but is also shaping the future of e-commerce. If youre ready to bring your passion for machine learning and innovation.Benefits:Competitive SalaryFlexible Working HoursRemote WorkProfessional Development OpportunitiesHealth InsurancePre - paid card or mulstisportApply now !