Oferty pracy: machine learning - Szczecin, łódzkie
- SyncronZdalnie in 00-105 WarszawaSyncron is a leading SaaS company with over 20 years of experience, specializing in aftermarket solutions. Our Connected Service Experience (CSX) platform…·
- Pokaż wszystkie praca: Syncron - oferty pracy: Warszawa
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning Engineer", lokalizacja: Warszawa, mazowieckie
- OnweloZdalnie in Warszawa, mazowieckiePoznaj Onwelo: Onwelo to nowoczesna polska spółka technologiczna, która specjalizuje się w budowaniu innowacyjnych rozwiązań IT dla organizacji z szeregu…·
- Zobacz wszystkie oferty pracy praca: Onwelo – Warszawa – praca: Machine Learning Scientist - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Data Scientist (Machine Learning)", lokalizacja: Warszawa, mazowieckie
- ReSpo·VisionWarszawa, mazowieckieMachine Learning / Deep Learning Intern About the role Respo.Vision is on the lookout for a motivated Machine Learning / Deep Learning Intern with a strong…·
- Zobacz wszystkie oferty pracy praca: ReSpo·Vision – Warszawa – praca: Machine Learning Engineer - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning / Deep Learning Intern", lokalizacja: Warszawa, mazowieckie
- TidioZdalnie in Warszawa, mazowieckieZwykle odpowiada w ciągu 1 dniaLocation: Poland/Europe, remote Salary: up to 22 000 net (B2B) | up to 18 260 gross (UOP) Form of employment: Contract of employment or B2B contract (self…EmployerAktywny 3 dni temu·
- Zobacz wszystkie oferty pracy praca: Tidio – Warszawa – praca: Machine Learning Engineer - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning Analyst", lokalizacja: Warszawa, mazowieckie
- Clouds On Mars sp. z o.o.Hybrydowo in Warszawa, mazowieckieWe are looking for a Machine Learning Engineer. The candidate will be responsible for designing, developing, and deploying machine learning models. They will…·
- Pokaż wszystkie praca: Clouds On Mars sp. z o.o. - oferty pracy: Warszawa
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning Engineer", lokalizacja: Warszawa, mazowieckie
- BonapoliaZdalnie in 00-640 WarszawaData Scientist / Machine Learning Engineer We are seeking a talented Lead Data Scientist/ML Engineer to join an embedded team. In this role, you will be…·
- Zobacz wszystkie oferty pracy praca: Bonapolia – Warszawa – praca: Machine Learning Engineer - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Data Scientist / Machine Learning Engineer (short-term...", lokalizacja: Warszawa, mazowieckie
- FinatZdalnie in Warszawa, mazowieckieZakres obowiązków Umiejętność implementacji i optymalizacji różnych algorytmów ML (regresja, klasyfikacja, klasteryzacja, redukcja wymiarów, sieci neuronowe).…·
- Pokaż wszystkie praca: Finat - oferty pracy: Warszawa
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning Engineer", lokalizacja: Warszawa, mazowieckie
- OrangeHybrydowo in Warszawa, mazowieckieTwoja rola Design, develop, and deploy machine learning models and systems at scale Collaborate with data scientists and business entities to build and…·
- Pokaż wszystkie praca: Orange - oferty pracy: Warszawa
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning Engineer", lokalizacja: Warszawa, mazowieckie
- Zobacz częste pytania i odpowiedzi na temat firmy Orange
- VisaHybrydowo in Warszawa, mazowieckieCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants…EmployerAktywny 5 dni temu·
- Zobacz wszystkie oferty pracy praca: Visa – Warszawa – praca: Scientist - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "ML Scientist"
- TooplooxZdalnie in Warszawa, mazowieckieHi there! We are Tooploox and we work on projects that improve people’s lives - in line with our mission, we have already changed the way people invest their…·
- Zobacz wszystkie oferty pracy praca: Tooploox – Warszawa – praca: Machine Learning Engineer - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning Engineer (with ML Ops)", lokalizacja: Warszawa, mazowieckie
- INGWarszawa, mazowieckieWe are looking for You, if You have: An advanced degree (PhD or Masters) in a quantitative discipline, such as Computer Science, Data Science, Statistics,…·
- Zobacz wszystkie oferty pracy praca: ING – Warszawa – praca: Machine Learning Engineer - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning Senior Credit Model Developer", lokalizacja: Warszawa, mazowieckie
Wyświetl podobne oferty pracy tego pracodawcyInetum PolskaZdalnie in Warszawa, mazowieckieWymagania .NET Entity Framework. Azure. SQL. PowerShell. Motywacja i chęć do nauki oraz komunikatywność. Angielski na poziomie B2. Zadania Główne zadania:…·- Zobacz wszystkie oferty pracy praca: Inetum Polska – Warszawa – praca: Programista .NET/.NET Developer (m/k) - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Trainee .NET Software Engineer", lokalizacja: Warszawa, mazowieckie
- Lite e-CommerceHybrydowo in Warszawa, mazowieckieFounded in 2021, we are a company operating within the Żabka Digital program, which is a development area of the Żabka Group. Our specialty lies in creating…·
- Pokaż wszystkie praca: Lite e-Commerce - oferty pracy: Warszawa
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning Engineer", lokalizacja: Warszawa, mazowieckie
- Tether Operations LimitedZdalnie in Warszawa, mazowieckieJoin Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting…·
- Zobacz wszystkie oferty pracy praca: Tether Operations Limited – Warszawa – praca: Machine Learning Engineer - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Machine Learning Engineer (100% remote- Poland)", lokalizacja: Warszawa, mazowieckie
- OvivaZdalnie in Warszawa, mazowieckieWhy Oviva? To build a healthier future for all! Our mission is to provide the most accessible and effective care to people with weight-related conditions.…·
- Zobacz wszystkie oferty pracy praca: Oviva – Warszawa – praca: Data Scientist - Warszawa, mazowieckie
- Przeglądaj wynagrodzenia: wynagrodzenia na stanowisku "Clinical Data Scientist", lokalizacja: Warszawa, mazowieckie
Job Post Details
Machine Learning Engineer - job post
Opis stanowiska
Oto, co w opisie oferty pracy pokrywa się z Twoim profilem.Wymiar pracy
- Pełny etat
ŚwiadczeniaNa podstawie pełnego opisu stanowiska
- Elastyczne godziny pracy
- Pakiety i karty sportowe
- Program poleceń pracowniczych
- Prywatna opieka medyczna
- Ubezpieczenie na życie
Pełny opis stanowiska
Syncron is a leading SaaS company with over 20 years of experience, specializing in aftermarket solutions. Our Connected Service Experience (CSX) platform offers domain-fit solutions for:
- Supply Chain optimization,
- Pricing strategy,
- Service Lifecycle Management (e.g. warranty management, field service management, service parts management, knowledge management).
Our company has a global presence with offices in US, UK, Germany, France, Italy, Japan, Poland, India and group headquarters in Sweden.
We build upon the belief that our greatest strength is our People. Our unique company culture has been appreciated by our Employees.
With this we are winning the hearts and minds of world-leading organizations, such as JCB, Kubota, Electrolux, Toyota, Renault and Hitachi.
About the role
You will join a team of talented and friendly Data Scientists in Machine Learning Operation (MLOPs) and AI (Artificial Intelligence) as a Data Science Squad member.
Team develops state-of-the-art Machine Learning-powered services for automated Supply Chain optimisation, Pricing strategy improvements, and Service Lifecycle Management including Generative AI-powered Knowledge management and warranty claim fraud detection and more.
Team is performing full MLOps cycles from customer pain discovery to production.
What would you do?
- Work in cross-functional teams to research, build and deliver the most efficient AI/ML powered solutions for our client problems including Knowledge base, Supply Chain optimization and Fraud Detection.
- Work closely with researchers on all the stages MLOps including DS-Ops (Research and spikes), Data-Ops (Data discovery, Feature selection and engineering) and Model-Ops (build, test and ship production-grade models).
- Research design, implement, and deploy machine learning models and algorithms that address specific challenge within after-market, supply chain and price domains.
- Collaborate with team-members and clients globally to understand project requirements, objectives, and constraints.
- Process and analyse datasets to extract meaningful insights and features for model development.
- Design, implement and maintain industry-standard MLOps infrastructure for new and existing ML products
- Optimize and standardize ML training and validation processes, data warehousing and pipelines.
- Add automation, drift detection, logging, version control and testing pipelines to the MLOps architecture
What we expect:
- Understanding standard Machine Learning algorithms (like decision trees, neural networks, clustering, and support vector machines).
- You have good knowledge and experience of Python.
- You have deep experience with scientific libraries and frameworks such as NumPy, TensorFlow, Kubeflow, Keras, Scikit Learn, OpenCV.
- Practical industry experience deploying and maintaining ML systems in production.
- Proficiency in programming languages, frameworks, and tools, such as Python, TensorFlow, PyTorch. Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Experience working on Gen AI, LLM, knowledge base and supply chain related projects
- Experience deploying MLOps solutions and working within CI/CD frameworks
- Experience with Linux systems and cloud infrastructure (AWS, etc.)
- Experience developing embedded ML applications
- Technically curious about the emerging AI innovations.
- Capable of testing using frameworks such as PyTest.
The icing on the cake:
- Ideally an MSc or PhD in either one of Artificial Intelligence, Computer Science or Applied Mathematics.
- Knowledge of Kubernetes and Docker.
- Familiarity with different image and video data format.
- Familiar with designing, building and troubleshooting distributed and scalable systems.
- Experience in building and maintaining cloud-hosted services on AWS.
- Experience working with MLOps users and data scientists to analyse data,
- Ability to slice and dice big data with SQL using python.
- Experience working with Dag execution workflow engines like airflow, Kubeflow, etc.
- Experience with big data tools: Spark, EMR.
- Has done feature engineering with Python scientific libraries,
- Experience in running machine learning models in AWS cloud.
- Knows about model drift and data drift and how does it affect inferences.
- Managed to deliver scalable inferences.
- Understands platform thinking perspective for delivering machine learning use cases for product teams.
We offer:
- Hybrid work from Warsaw office that is centrally located (Plac Grzybowski) - depending on your plans.
- An environment that supports learning and is committed to your professional and personal development – access to internal training sessions (Friday Seminars) and LinkedIn Learning.
- Fringe benefits (private medical insurance, Multisport, life insurance).
- Employee referral program - a bonus of 1500 EUR if the referral gets hired.
- Flexible working hours.
- Being yourself in an informal, low-ego, and open working environment where you can truly make a difference and enjoy working with positive, passionate, and collaborative people, ready to share their knowledge with you.
- Scandinavian style and company culture with work-life balance and true care for your wellbeing.
- English-speaking international working environment.
- Internal training sessions, conference and training budget for every team, free English & Swedish classes.
Unsure if you meet all the job requirements but passionate about the role? Apply anyway! Syncron values diversity and welcomes all Candidates, even those with non-traditional backgrounds. We believe in transferable skills and a shared passion for success!
#LI-SYNCRON
#LI-Hybrid
#Full-Time
#Mid-Snr