Top Machine Learning Jobs in Krakow

The Fund Accountant will handle trade capture, reconciliations, pricing, and assist with NAV calculations under supervision, ensuring accuracy and timely reporting.

Manage Fund Accounting operations, ensuring accurate NAV calculations, supervising a team, and ensuring compliance with company procedures.

The role involves producing monthly NAV, processing capital calls and distributions, preparing P&L allocations, and assisting in audits. Strong analytical skills and attention to detail are essential for success.

The Fund Accounting Associate will prepare reconciliations, process accruals, verify corporate actions, assist with audits, and maintain client relationships.

Assists in producing monthly and quarterly NAV for private equity funds, calculates capital calls and distributions, prepares investor P&L, reconciles markets, and assists in audits while ensuring compliance with internal controls.

The VP of Fund Accounting oversees NAV calculations, leads assigned teams, manages client relations, ensures compliance, and improves processes.

The Fund Accounting Supervisor oversees cash and position reconciliations, reviews fund pricing and compliance, mentors team members, and ensures deadlines are met.

The Private Equity Assistant Vice President oversees NAV calculation for Private Equity funds, manages client relationships, leads accounting groups, and enhances operational workflows.

The Account Manager will build and maintain client relationships, manage teams, ensure project delivery, and resolve issues while collaborating with clients in tech services.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Machine Learning Specialist will develop production systems using LLMs, integrate backend services with Python, and design data pipelines. They will also analyze user behavior and may apply computer vision techniques.

The Senior IT Business Analyst will implement AI-based solutions to enhance efficiency. Responsibilities include analyzing processes, documenting requirements, collaborating with teams, and supporting R&D initiatives.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Develop SaaS platform components, participate in Agile activities, debug complex problems, and automate tests to ensure high-quality software.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

Lead design and development of products from vehicle telematics data, collaborating across teams to enhance customer experience and maintain core platforms.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

Lead the design and implementation of scalable cloud-based data pipelines and architectures, ensuring best practices, compliance, and data quality.

As a Product Owner for Machine Learning, you'll deliver impactful analytics features for non-technical users, manage product backlogs, and collaborate with data teams.

The Lead Machine Learning Engineer will design and deploy AI/ML security solutions, optimize models, manage projects independently, and collaborate across teams.

The Investor Services Senior Administrator executes tasks in the Investor Services Department, including reviewing transactions, liaising with investors, and preparing reports.

Design and develop software solutions for AI/ML applications, propose new approaches to optimization problems, and collaborate with global teams in research and development.