Machine Learning Manager

Summary

Join Docplanner Tech as a Machine Learning Manager and lead a team revolutionizing healthcare access through AI. You will translate Noa's objectives into actionable team goals, guide the team's roadmap, and oversee project execution. Responsibilities include managing data pipelines, ensuring legal compliance, and collaborating with cross-functional teams. The ideal candidate possesses 3+ years of team management experience in data science and 5+ years of hands-on experience in machine learning. A strong understanding of the model lifecycle and proven ability to deliver results are crucial. Docplanner offers a competitive salary, share options, flexible work arrangements, paid time off, private healthcare, and professional development opportunities.

Requirements

• 3 years experience managing a team of Data Scientists, ML Engineers, responsible for training/fine-tuning models, operating online in production
• 5+ years of hands-on experience in data science, machine learning, or AI development
• Problem-solving mindset and adaptability in dynamic environments with a focus on delivering business value to end customers
• Proven track record of delivering machine learning models or data-driven solutions in production environments
• Strong understanding of model lifecycle: data preprocessing, training, evaluation, and deployment
• Proven ability to manage timelines, prioritize tasks, and deliver results under tight deadlines
• Experience collaborating with cross-functional teams (e.g., product, marketing, engineering)

Responsibilities

• Translate Noa’s objectives into actionable team goals and foster collaboration
• Guide the team in creating and executing a prioritized roadmap to achieve objectives
• Define project scope, objectives, and deliverables, ensuring timely execution with high-quality results
• Oversee the review and validation of datasets, models, and code to maintain quality standards
• Track project progress, ensuring milestones are met and stakeholders are informed
• Collaborate with the Principal Scientist to tackle complex technical challenges and adopt cutting-edge methodologies
• Work with software engineers, DevOps, and IT to ensure seamless ML model deployment
• Partner with product managers to align solutions with business needs and deliver actionable insights
• Ensure the team has the tools, frameworks, and resources needed for success
• Manage data gathering, processing, and labeling to meet legal and business requirements
• Collaborate with the legal team to ensure compliance with legal and ethical standards
• Oversee the linguist team (via their coordinator) to ensure high-quality data annotation

Preferred Qualifications

• Experience in Speech Recognition models training/evaluating
• Being a medalist in the Informatics/Alghorytmics Olympiad & programming competition (we have some of them on the team)
• Understanding of MLOps tools and processes for maintaining production systems
• Knowledge of data privacy law (e.g., GDPR) and AI ethics principles

Benefits

• A salary adequate to your experience and skills
• Share options plan after 6 months of working with us
• True flexibility and work-life balance
• Remote or hybrid work model with or hub in Warsaw
• Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
• 20/26 days of paid time off (depending on your contract)
• Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate)
• Private healthcare plan with Signal Iduna for you and subsidized for your family
• Multisport card co-financing for you to have access to sports facilities across Poland
• Access to iFeel , a technological platform for mental wellness offering online psychological support and counseling
• Free English classes