Machine Learning Product Manager - NewGMedia Recruitment Agency

As an ML Product Manager, you will drive your direction autonomously, make data-driven decisions, and witness your impact on the business.

Advantages of This Role for You:

Dedicated Team: Manage a specialized ML team designed to achieve your goals.
Autonomy: Make your own decisions, influence the product and processes. We are open to your ideas and trust your expertise.
Prestige: Join a multi-award-winning Gambling Company, contributing to a journey that has established 9 top iGaming brands in the markets of Tier-1 countries.

Key Responsibilities:

Identify and Prioritize Application Fields:

Collaborate with cross-functional teams to understand business needs and challenges.
Conduct market research to identify potential application fields for machine learning solutions.
Prioritize areas where machine learning can enhance operational efficiency and deliver tangible business impact.

Selection of Appropriate Approaches and Solutions:

Evaluate and recommend machine learning algorithms and techniques suitable for specific use cases.
Work closely with data scientists and engineers to design and develop scalable machine learning solutions.
Ensure alignment between business goals and technical capabilities of chosen approaches.

Creation and Launch of Solutions:

Lead the end-to-end development lifecycle of machine learning solutions, from concept to deployment.
Collaborate with software development teams to integrate machine learning models into operational systems.
Define and track key performance indicators to measure the success of implemented solutions.

Cooperation with Data Warehouse and BI Teams:

Collaborate with the Data Warehouse team to ensure the availability of high-quality and relevant datasets for training and testing machine learning models.
Work closely with the Business Intelligence team to derive actionable insights from machine learning results.
Identify opportunities for data warehouse improvements to enhance overall data management capabilities.

Stakeholder Communication and Collaboration:

Communicate effectively with stakeholders, including operational teams, executives, and technical teams, to ensure a shared understanding of project goals and progress.
Foster a collaborative environment and build strong relationships with cross-functional teams.
Act as a bridge between technical and non-technical stakeholders, translating business requirements into technical specifications.

Skills & Qualifications Required:

Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related field.
Proven experience (3 years) in product management, with a focus on machine learning solutions.
Strong understanding of machine learning concepts, algorithms, and practical applications.
Experience working in a cross-functional environment with operational teams.
Experience building a Data Warehouse or Data Lake will be a plus.
Excellent communication and leadership skills.
Ability to thrive in a dynamic and fast-paced work environment.

Your Hiring Journey:

Call with a Recruiter ➡️ Interview with CPO and Delivery Director ➡️ Final Interview with Head of Recruitment ➡️ Job offer!

Perks of Being with Us:

Time Off: 20 vacation days, 36 sick days annually.
Learning: English classes, learning compensation, conference and seminar support.
Professional Growth: Emphasis on internal promotions for career advancement.
Health Benefits: Annual budget for health expenses.
Special Occasions: Extra day off for birthdays, marriage bonus, enhanced maternity support.
Work Environment: Minimal bureaucracy, no overtime, necessary tools and tech provided.
Corporate Events: Team-building activities in a multicultural setting.
Work-Life Balance: Flexible remote, office, or hybrid work options without time tracking.