Senior ML Engineer
Bright Coders' Factory — our name speaks for us, as our software sits in the hearts of global companies. We provide customers with state-of-the-art technologies. Our potential still grows, which is proven by the Forbes Diamond and Great Place to Work Awards.
We're writing code to make people's lives easier. In BCF, you will find your place and see that your work matters. Our portfolio includes projects from more than 15 industries - so depending on your preferences and stage of career, we're definitely going to find the right one for you.
About position
At BCF Software, we are at the forefront of innovation, harnessing the power of artificial intelligence to transform industries and solve complex business challenges. We are looking for a talented Senior AI/ML Engineer to join our dynamic team and lead the development and deployment of cutting-edge machine learning models. If you are passionate about AI and enjoy working on challenging problems that require creative solutions, this is the perfect opportunity for you.
Requirements
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Advanced Programming Skills: Proficiency in Python and experience with leading machine learning frameworks such as Keras, SciPy, Scikit-learn, TensorFlow, and PyTorch.
- Cloud Computing Expertise: Hands-on experience with cloud computing platforms (Azure preferred, AWS, GCP).
- ML Lifecycle and MLOps Knowledge: Strong understanding of the entire machine learning lifecycle, with experience in MLOps and DataOps.
- GPU Cluster Experience: Proven experience in the development and management of GPU clusters for large-scale machine learning tasks.
- Version Control and CI/CD: Familiarity with version control practices, unit tests, continuous integration/continuous deployment (CI/CD), packaging, and containerization tools like Docker and Kubernetes.
- Problem-solving and Communication: Excellent problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively. Fluency in English is required.
Your responsibilities
- Architect and Oversee the AI/ML Lifecycle: Lead the end-to-end development of machine learning models, from data collection and preprocessing to deployment and monitoring, ensuring robust and scalable solutions.
- Model Deployment and Optimization: Deploy large-scale neural network models, optimizing them for performance, scalability, and efficiency in real-world applications.
- Application Development: Design and orchestrate applications leveraging large language models (LLMs) to address and solve complex business problems, driving tangible impact.
- GPU Cluster Management: Develop and manage GPU clusters to support large-scale machine learning and neural network training, ensuring high performance and resource efficiency.
- Cross-functional Collaboration: Work closely with data scientists, software engineers, and domain experts to design and implement AI-driven solutions that meet business objectives.
- Security and Compliance: Ensure that AI solutions adhere to industry best practices, security standards, and regulatory requirements, maintaining the highest levels of compliance.
- Continuous Learning: Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies to maintain our competitive edge.
Experience
Location
Senior ML Engineer
Company
TAX ID (NIP):
PL 754 31 26 298
KRS:
0000634606
REGON:
365280382
Our addresses
Opole HQ 45-837, ul. Technologiczna 2
Wroclaw 50-062, ul. PL. Solny 14A/5
Poznan 61-770, ul. Paderewskiego 6/6
Warsaw 00-503, ul. Żurawia 6/12
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