Machine Learning Product Manager in NewGMedia

As an ML Product Manager, you will drive your direction autonomously, make data-driven decisions, and witness your impact on the business.Why Join Us?- Dedicated Team: Manage a specialized ML team designed to achieve your goals.- Autonomy: Make your own decisions, and 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.Ready to craft the future of iGaming with us? Join the company where ideas transform into magnificent results!