Quantori
Talent pool: Senior Machine Learning Engineer
Remote Senior $4.7k–$12.8k/moest.
Summary
Quantori is seeking a Senior Machine Learning Engineer to join their talent pool. The role involves engaging with clients to design and architect end-to-end ML solutions, leveraging AI and advanced technologies to solve complex business problems while staying at the forefront of ML innovation.
What you'll do
- Engage with clients to understand business requirements and advise on ML and AI solutions
- Design end-to-end ML solutions including data acquisition, preprocessing, feature engineering, model selection, and deployment
- Architect scalable and reliable ML systems for large-scale data and real-time processing
- Collaborate with cross-functional teams including data scientists, software engineers, and domain experts
- Stay updated with latest advancements in ML and AI technologies
- Conduct research and experimentation on new ML algorithms and frameworks
- Present findings and results to internal teams and external stakeholders
Requirements
- 3+ years of experience as ML Engineer or Data Scientist in academia or industry
- Proficient in Python programming with strong data science framework experience
- Familiarity with ML frameworks (PyTorch, Keras) and libraries (NumPy, scikit-learn)
- Experience with LLM agents, tool using, reasoning, RAG solutions, and code interpreters
- 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 English proficiency
- Ability to work with external clients and strong communication skills
- Ability to mentor team members
- Quick learner capable of adapting to new technologies
Conditions
- Remote or office work options
- Flexible working hours
- Competitive compensation
- Healthcare benefits including medical insurance and paid sick leave
- Continuous education, mentoring, and professional development programs
- Company-paid certifications
- Team with excellent tech expertise