Talent pool: Senior Machine Learning Engineer

Das ist der Job

Experience with MLOps tools and frameworks like Jupyter Notebook, Kubernetes, Kubeflow, Spark, etc.

Darum lohnt es sich

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

Ensure the solutions are robust, secure, and scalable, taking into account performance, latency, and cost optimization Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts to deliver successful ML projects Stay up-to-date with the latest advancements in ML, AI, and related technologies, identifying opportunities for innovation and differentiation Conduct research and experimentation to explore new ML algorithms, techniques, and frameworks that can enhance the company's offerings Present findings and results to internal teams and external stakeholders in a clear and concise manner What we expect: 3+ years of experience as an ML Engineer or Data Scientist, either in academia or industry Proficient in Python programming and experience with Python data science frameworks.

Strong programming skills with proven experience in implementing Python-based machine learning solutions Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn) Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter Experience with LLM fine tuning Solid knowledge of machine learning and deep learning fundamentals Experience with transformer-based language models Ability to interpret and implement research ideas and algorithms Hands‑on experience with relational SQL and NoSQL databases Upper‑Intermediate or higher level of English proficiency Ability to work with external clients and strong communication skills, including presenting in webinars and conferences Ability to mentor team members and assist in their professional development Quick learner with the ability to adapt to new technologies, frameworks, and algorithms Nice to have: Experience with designing complex multi-model and multi-modal ML applications and products Solid foundation in development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models Experience with cloud-based tools and technologies for data pipelining, model development, and deployment, particularly AWS (Amazon Web Services) Familiarity with AI/ML operational tools such as Airflow, MLFlow, H2O, etc.

Up‑to‑date publications in the areas of deep learning, distributed computing, bioinformatics, or other life sciences Domain knowledge of biology and/or chemistry We offer: Competitive compensation Remote or office work Healthcare benefits: medical insurance and paid sick leave Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Certifications paid by the company #J-18808-Ljbffr Talent Pool: Senior Machine Learning Engineer This position is currently part of the Quantori Talent Pool, meaning it's not an active opening at the moment.

However, we welcome the opportunity to discuss your interest and would be happy to chat with you about considering your CV for upcoming opportunities in this role.

Responsibilities: Engage with clients to understand their business requirements and provide expert advice on leveraging ML and AI technologies to solve their problems Design end-to-end ML solutions that address client needs, considering factors such as data acquisition, preprocessing, feature engineering, model selection, and deployment Architect scalable and reliable ML systems that can handle large volumes of data and real-time processing.

Experience in building scalable AI/ML systems for continuous training automation, computer vision, natural language processing, or similar advanced AI/ML problems Engineering experience in model tuning using CUDA/OpenCV, C++, low-level Python scripts, etc.