Syncron

Manager AI/ML

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SeniorZdalnie·WarszawaFull-time

#413769·Dodano dwa miesiące temu·3

Źródło: Syncron

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Tech Stack / Keywords

AIMLOpsData ScienceMachine LearningArchitectureAlgorithmsPython SQL

Firma i stanowisko

Syncron is a SaaS company specializing in aftermarket solutions with over 20 years of experience. Their Service Lifecycle Management Platform focuses on Supply Chain optimization, Pricing strategy, and Service Fulfillment. The company has a global presence with offices in multiple countries including Poland and Sweden as headquarters.

Wymagania

Advanced degree in Data Science, Machine Learning, Computer Science, Statistics, or related field; PhD preferred.
Minimum 12 years of experience in data science and machine learning.
At least 3 years of leadership experience managing distributed and remote teams.
Proven experience deploying ML models in production at scale.
Developed scalable ML systems and architectures supporting model reusability.
Expertise in programming languages Python, R, SQL.
Experience with machine learning frameworks TensorFlow, PyTorch, Scikit-learn.
Experience with MLOps tools MLflow, Kubeflow, SageMaker.
Knowledge of AutoML platforms like Google AutoML, H2O.ai, Azure AutoML.
Familiarity with data engineering, data pipelines, data lake, data lakehouse, and data mesh architectures.
Proficient in Python for model development and data manipulation.

Nice to have:

Experience with Spark and Mage AI.
Experience with large language models (LLMs) and generative AI including productionalizing chatbots.
Background in software engineering or DevOps.
Domain experience in Supply Chain, Pricing, Inventory, and Service Fulfillment.

Obowiązki

Develop and execute the organization's data science strategy focusing on machine learning, MLOps, and AutoML.
Lead, mentor, and grow a team of data scientists, ML engineers, and specialists.
Define and evolve the long-term AI/ML architecture roadmap ensuring scalability and integration.
Define and implement a roadmap for data collection, storage, and analysis with machine learning pipelines.
Oversee deployment of predictive models and machine learning algorithms integrated with AutoML platforms.
Improve model lifecycle time and scalability by applying advanced MLOps and AutoML practices.

Benefity

Environment facilitating professional growth.
Respectful and friendly work environment.
Internal training sessions, external conferences, and training options.
Free English and Swedish language classes.
Fringe benefits including private medical care, multisport card, and life insurance.
Flexible work model, working hours, and no micromanagement.

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Kursy językowe

Szkolenia wewnętrzne

Budżet konferencyjny

Elastyczne godziny

Syncron

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