Principal Machine Learning Engineer
1 dzień temu
O naszym kliencie
Our client is American hedging fund
Opis stanowiska
We are seeking an experienced and visionary Principal Machine Learning Engineer to join the team and drive the development of cutting-edge machine learning solutions in the R&D domain. In this role, you will play a pivotal part in shaping our ML strategy, building and mentoring a high-performing engineering team from the ground up, and delivering innovative solutions to solve complex problems.
Key Responsibilities:Technical Leadership
- Design, develop, and implement state-of-the-art machine learning models and algorithms to address real-world challenges.
- Lead the end-to-end ML lifecycle: from data preprocessing, feature engineering, and model training to deployment and monitoring in production.
- Stay at the forefront of ML research and evaluate the applicability of new methodologies, frameworks, and technologies for business needs.
- Ensure the scalability, efficiency, and reliability of ML systems in production environments.
Team Building and Mentorship
- Build and lead a world-class ML engineering team, including hiring, onboarding, and fostering a collaborative, high-performing culture.
- Provide mentorship and guidance to team members, enabling their professional growth and development.
- Establish and enforce best practices for software engineering, machine learning workflows, and collaborative development.
Project Ownership
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to identify business opportunities and define ML use cases.
- Translate ambiguous requirements into actionable technical roadmaps and deliverables.
- Oversee multiple ML projects simultaneously, ensuring alignment with organizational goals, timelines, and quality standards.
Strategic Contributions
- Shape the long-term vision and roadmap for machine learning within the organization.
- Contribute to the company's R&D initiatives by exploring new research areas and applying ML innovations to solve strategic challenges.
- Represent the organization at conferences, meetups, and in industry discussions to establish thought leadership.
Profil kandydata
Experience:
- 8+ years of experience in machine learning engineering, with a strong focus on R&D and innovation.
- Proven experience in leading and delivering large-scale ML projects from concept to production.
- Hands-on experience in building and scaling teams, ideally starting from scratch.
Technical Skills:
- Expertise in programming languages such as Python, Java, or C++ and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Deep understanding of ML techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and optimization algorithms.
- Strong background in data engineering, distributed computing, and cloud-based ML deployment (e.g., AWS, GCP, Azure).
- Proficiency in MLOps best practices, tools, and workflows (e.g., CI/CD pipelines, MLflow, Kubeflow).
Soft Skills:
- Exceptional problem-solving abilities and a strategic mindset.
- Strong communication and interpersonal skills to articulate complex ideas to technical and non-technical stakeholders.
- Ability to thrive in a fast-paced, dynamic environment while balancing strategic and hands-on responsibilities.
Oferujemy
- 100% remote
- 15% annual bonus
- B2B or UoP
- 26 Paid Days Off for B2B Contractors
- Private healthcare
- Employee Stock Purchase Plan
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