Senior Machine Learning Engineer

🌎 Akvelon is a known USA company, with offices in places like Seattle, Mexico, Ukraine, Poland, and Serbia. Our company is an official vendor of Microsoft and Google. Our clients also include Amazon, Evernote, Intel, HP, Reddit, Pinterest, AT&T, T-Mobile, Starbucks, and LinkedIn. To work with Akvelon means to be connected with the best and brightest engineering teams from around the globe and working with an actual technology stack building Enterprise, CRM, LOB, Cloud, AI and Machine Learning, Cross-Platform, Mobile, and other types of applications customized to client’s needs and processes.

The project focuses on developing innovative solutions for the professional services industry, leveraging AI-driven technologies to optimize workflows, enhance collaboration, and improve decision-making processes. It involves creating scalable, secure platforms tailored to industry-specific needs, enabling seamless integration and efficient data management.

Requirements:

• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-Learn).
• Strong knowledge of machine learning algorithms, including regression, classification, clustering, and neural networks.
• Experience with NLP and LLMs.
• MLOps: skilled in deploying, scaling, and optimizing ML models in production environments.
• Expertise in building RAG systems using frameworks like LangChain, LlamaIndex, or similar.
• Experience with enterprise projects.

Nice to have:

• Familiarity with cloud platforms (AWS, Azure, GCP) for deploying and managing ML workflows.
• Experience with MLOps platforms like MLflow, Kubeflow.

Overlap time requirements – Till 10 AM PST

Working conditions and benefits:

• Paid vacation, sick leave (without sickness list)
• Official state holidays — 11 days considered public holidays
• Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support program (Discount, Care, Health, Legal compensation)
• Paid external training, conferences, and professional certification that meets the company’s business goals
• Internal workshops & seminars
• Corporate library (Paper/E-books) and internal English classes.