Manager AI/ML at Syncron

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

11 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science Strategy, Machine Learning, MLOps, AutoML, Team Leadership, AI/ML Architecture, Data Strategy, Predictive Models, Model Lifecycle Management, Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, MLflow

Industry

Software Development

Description

Syncron is a leading SaaS company with over 20 years of experience, specializing in aftermarket solutions. Our Service Lifecycle Management Platform offers domain-fit solutions for: Supply Chain optimization, Pricing strategy, Service Fulfillment (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 We are seeking a Manager/Senior Manger AI& ML to lead a high-impact team of data scientists, ML engineers, and AI specialists in building cutting-edge AI/ML solutions. This role requires a blend of technical expertise in DS, AI/ML, MLOps, with strong leadership capabilities. The ideal candidate will have a proven track record of deploying scalable AI/ML systems and fostering a high-performing, innovative team culture What would you do? Strategic Leadership: Develop and execute the organization's data science strategy, with a strong focus on advancing machine learning, MLOps, and AutoML practices to optimize operational workflows and model lifecycle management. Team Management: Lead, mentor, and grow a dynamic team of data scientists, ML engineers and specialists, fostering a collaborative and innovative work environment. Define and evolve the long-term AI/ML architecture roadmap, ensuring scalability, maintainability, and integration with existing systems. Data Strategy: Define and implement a roadmap for data collection, storage, and analysis, emphasizing the integration of machine learning pipelines, scalable MLOps frameworks, and AutoML systems for accelerated model development. Advanced Analytics: Oversee the deployment of predictive models, machine learning algorithms, and statistical analyses, ensuring the seamless integration of AutoML platforms for enhanced efficiency and scalability. Model Lifecycle Enhancement: Focus on improving model lifecycle time and scalability by implementing cutting-edge practices in MLOps and AutoML to reduce time-to-market and ensure robust, adaptable solutions. Who you are? / What we expect: Education: Advanced degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field; PhD preferred. Experience: Minimum 12 years of experience in data science & machine learning, with at least 3 years in a leadership role (managing teams) and proven ability to lead and collaborate with distributed and remote teams. Experience deploying ML models in production environments at scale. Developed scalable ML systems and architectures that support model reusability across multiple customers with minimal or no customization. Expertise in programming languages (Python, R, SQL), machine learning frameworks (TensorFlow, PyTorch, Scikit-learn), MLOps tools (MLflow, Kubeflow, SageMaker), and any AutoML platforms (Google AutoML, H2O.ai, Azure AutoML). Knowledge of data engineering, data pipelines and data lake/, data lakehouse and data mesh architecture. Proficient in Python for model development and data manipulation. The icing on the cake: Experience with Spark and Mage AI is a plus. Experience with LLMs, generative AI including productionalizing chatbots is a plus. Background in software engineering or DevOps is a strong advantage. Previous domain experience in Supply Chain, Pricing , Inventory and Service Fulfilment. We offer: Possibility to grow - you will have a chance to work side by side with an experienced HR Specialist Environment facilitating professional growth 🚀 Respectful and friendly work environment Internal training sessions, external conferences and training options Free English & Swedish classes Fringe benefits (private medical care, multisport card, life insurance) Flexible model of work, working hours and no micromanagement We do respect one another, and we do enjoy working together – we play pool and board games (mostly online these days), organize charity activities - to name just a few😊 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-Remote #LI-Hybrid

Responsibilities

The role involves developing and executing the organization's data science strategy, focusing on advancing machine learning, MLOps, and AutoML practices to optimize workflows and model lifecycle management. The manager will lead, mentor, and grow a team of data scientists and ML engineers while defining the long-term AI/ML architecture roadmap.