Senior ML Scientist (NLP) 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 the client’s needs and processes.

We are looking for a Machine Learning Engineer to design and implement advanced models for multi-document understanding and summarization systems. This role involves developing innovative natural language processing solutions to tackle complex, greenfield business challenges with real-world impact.

The ideal candidate combines deep expertise in Natural Language Processing and Large Language Models, with strong coding and ML experimentation skills. The candidate should be able to design smart, automated AI workflows, work with modern ML tools, and build systems that can analyze and summarize information from many documents.

Responsibilities:

• Drive research ideas from first-principles conceptualization to practical realization.
• Collaborate with engineers to design and implement solutions that balance theoretical elegance with practical constraints.
• Develop innovative strategies for creating, collecting, and assessing high-quality datasets, including synthetic data generation.
• Design robust evaluation techniques and benchmarks for assessing diverse product properties.
• Conduct experiments to evaluate new methodologies and their impact on product outcomes.
• Stay up-to-date with the latest machine learning research to inform and guide model development.
• Research, train, evaluate, and improve machine learning models for document understanding, summarization, multi-document Q/A and multi-document summarization.
• Hands-on experience with modern NLP techniques, LLMs, prompt engineering and agentic workflows.
• Analyze data to uncover patterns, correlations, and opportunities for improvement.
• Conduct applied research to develop and launch models and/or agentic workflows that enhance strategic products.

• Communicate complex findings and research results through clear, concise, and compelling explanations, tailored to both technical and non-technical audiences, to drive understanding and collaboration.

   

Requirements:

• Ability to design and execute experiments, analyze results, and refine methods for optimal performance.
• Expert knowledge of ML fundamentals including feature engineering, model selection, and evaluation metrics.
• Proven ability to design and evaluate machine learning models, benchmarks, and experiments.
• Strong coding skills in Python and experience with NLP and ML frameworks.
• Experience with ML pipelines.
• Stay current with the latest research in AI, NLP and LLMs.
• Expertise in designing and implementing end-to-end ML systems.
• 4+ years of industry experience building production NLP/ML systems.
• Strong communication and independence skills.

• Working with daily overlap till 8 pm CET (2 pm EST).

   

Nice to have:

• Databases and Fatawarehouses experience.
• Experience with ETL and Data Integration.

• Finance and Investing Domain Knowledge

   

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

Ready to take the next step? Apply now!