Who we are looking for:

            We are seeking a dynamic Senior IT Leader to oversee from concept to production innovative initiatives in the AI space that support our strategic business objectives.

Experience:

• 5+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management.
• Experience developing AI/ML systems at scale in production or in high-impact research environments.
• Proficiency in natural language processing, especially in LLMs and Generative AI systems.
• Familiarity with the common frameworks and tools such as PyTorch or TensorFlow.
• Proven experience with transformer models and an understanding of their underlying principles
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.

Skills:

• Solid understanding of machine learning algorithms and techniques, including supervised learning, unsupervised learning, and deep learning.
• Ability to work with large-scale datasets and implement scalable ML solutions.
• Strong problem-solving skills and ability to think critically about complex technical challenges.
• Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
• Strong analytical and quantitative skills, with attention to detail.
• Excellent leadership capable of mentoring and driving team performance and strong engagement capabilities with senior stakeholders.

Education:

• Master’ s degree in Computer Science or related field

Note: The role requires a minimum of three days per week working from the office

**Minimum Salary:**​

zł282,000 Annual

The minimum salary quoted above applies to the role in the primary location specified. If the candidate ultimately works outside of this primary location, the applicable minimum salary may differ.​

Salary will be determined based on factors such as the position, type of work performed, individual skills, job description, working hours, diligence, initiative, self-management, length of employment, availability, and the quantity and quality of work delivered, as well as other objective and non-discriminatory criteria relevant to State Street employees.​

In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.​

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**We Offer:**​

• Permanent contract from day one​
• Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​
• Gold Medical Package for employees and their families (partner and children)​
• Premium life insurance package and private pension plan​
• Wide range of soft skills training, technical workshops, language classes and development programs​
• Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​
• Variety of well-being programs​
• Additional benefits available depending on the seniority of the role

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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