Senior Machine Learning Engineer

Responsibilities:

• In brief:
• As a Senior Machine Learning Engineer, you will lead our machine learning initiatives, driving innovation and implementing cutting-edge algorithms. 
• You will be responsible for the end-to-end development and deployment of machine learning models, collaborating with cross-functional teams to solve complex business problems. 


• In detail: 
• Lead the design, development, and deployment of machine learning models and algorithms. 
• Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions. 
• Conduct experiments (simple causal inference or AB tests) to evaluate model performance and contribute to data-driven decision-making. 
• Demonstrate a data product mindset, aligning solutions with business objectives and contributing to the development of data-driven products. 
• Independently handle complex projects, collaborating with senior stakeholders to deliver solutions meeting business needs. 
• Simplify model details for business owners, effectively communicating the value and impact of machine learning models on business outcomes. 
• Work closely with business and product counterparts at every stage of model development, ensuring alignment with goals and incorporating feedback. 
• Mentor and guide junior team members, fostering a culture of continuous learning and improvement. 
• Collaborate with data engineers and analysts to ensure seamless integration of machine learning models into production systems. 
• Implement scalable and efficient machine learning solutions, considering performance, reliability, and maintainability. 
• Contribute to documentation of models, algorithms, and best practices, facilitating knowledge sharing within the team. 
• Bring experience from product-based companies to enhance the relevance and effectiveness of machine learning solutions. 
• Conduct research to stay abreast of the latest advancements in ML and  and contribute to the development of organizational standards by bringing in industry best practices.

Requirements:

• At Kitopi, we value alignment with our mission and principles. The successful candidate will share these values and work in accordance with them. 
• Master's or Bachelor's degree in Computer Science, Machine Learning, or a related field. 
• Minimum of 6 years of experience as a Machine Learning Engineer, focusing on end-to-end development and deployment in a production environment. 
• Strong programming skills in Python. 
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with cloud-based services (e.g., AWS SageMaker, Google AI Platform). 
• Solid understanding of data engineering concepts and experience with big data technologies. 
• Demonstrated ability to mentor a team of machine learning professionals. 
• Excellent written and verbal communication skills, conveying complex technical concepts to both technical and non-technical stakeholders. 
• Strong project management and organizational skills, handling large projects, defining roadmaps, and collaborating with cross-functional teams. 
• Commitment to continuous learning and innovation, leveraging industry best practices and the latest technologies. 
• Experience working in a fast-paced or startup environment, adapting to rapidly changing requirements. 
• Deep familiarity with relevant technologies is a plus. 
• Passion for problem-solving, creativity, and the ability to collaborate across disciplines and backgrounds. 

Technologies We Use

• Data Warehouse / Big Data: Snowflake, ADL, and Postgres 
• Reporting: Looker and Power BI 
• Data Pipelines: Kafka, Python, SQL, Airflow, Airbyte, and DBT 
• ML Ops: Amazon SageMaker, ML Flow, Kedro and Airflow 
• Platform: AWS 
• Repository: GitHub 
• Analysis: SQL, Python, and Excel 
• Presentation: Power BI, Google Sheets, and Google Slides 
• Documentation: Confluence 
• Sprints and Backlog: Jira 

Perks & Benefits:

• Expanded tech stack
• ESOP - Employee Stock Option Plan 
• You choose a form of employment (26 paid days off on B2B)
• Additional paid days off for volunteer activities
• U-Day - time for medical check-ups, examinations, or diagnosis
• Top-notch equipment: high-end MacBook Pro + additional accessories
• Support for your development: 2 000 PLN growth annual budget available to every employee, internal initiatives: webinars/workshops, knowledge sharing sessions internal conferences (Kitopi Academy)
• Mentoring program 
• Freedom Day - time for things you are passionate about
• Free English classes
• Worksmile benefit platform (private medical healthcare, Multisport card, vouchers, etc.) 
• Life insurance 
• Wellbeing program (psychological care, physical health, and socializing activities)
• Referral bonus 
• Great office with fruit & snacks, social budget for every team & awaydays, and more!