Akvelon

🌎 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 Senior Machine Learning Scientist / Engineer with a strong research and engineering background in Natural Language Processing and Large Language Models (LLMs) to lead the development of advanced reasoning and summarization systems. You will drive cutting-edge innovation in multi-document understanding, reasoning LLMs, and model alignment techniques, working on greenfield challenges with meaningful, real-world applications.

Requirements:

• Substantial research experience in Reasoning LLMs, Chain of thought, Post training LLMs, RLHF, LLM Alignment, NLP areas
• Hands-on experience with training or fine‑tuning open‑source reasoning LLMs
• Deep expertise in NLP and LLM architectures
• Proven ability to design and run independent research and experimentation
• Strong Python and modern ML tooling skills
• Excellent written and verbal communication
• Ability to work autonomously

Nice to have:

• Applied research experience in Financial (Investing) domain
• PhD in Machine Learning, NLP, Computer Science, or a related field
• Applied research experience in industry
• Contributions to notable open‑source LLM projects (datasets, libraries)
• Publications and/or original research in the area
• GCP experience is strongly preferred

Overlap: up to 2PM EST (8PM CET)

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

We are looking for a Middle-level ML Ops Engineer to join an ongoing project with a Financial Services company based in New York. You will support the internal team by handling infrastructure tasks and routine ML Ops work.

Requirements:

• Solid experience with Google Cloud Platform (GCP)
• Proficiency with Vertex AI and BigQuery
• Hands-on experience deploying and supporting ML models
• Understanding of MLOps best practices and automation tools

• Good communication skills and the ability to work in a distributed team

   

Responsibilities:

• Build and maintain ML and data pipelines on GCP
• Manage and preprocess large volumes of text data
• Deploy machine learning models in both real-time and batch environments
• Support and optimize infrastructure for ML workflows in Vertex AI and BigQuery

• Collaborate with the client’s full-time engineers and ensure smooth handoffs

   

Overlap requirements: daily overlap up to 2PM EST (8PM CET)

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 meet the company’s business goals
• Internal workshops & seminars

• Corporate library (Paper/E-books) and internal English classes

   

Step into your future — apply now 🚀

We are looking for a skilled Senior Golang Engineer to join a newly formed team focused on accelerating software development while ensuring security and compliance across large-scale codebases. You will work on building and maintaining core libraries, packages, and tools in Go and Python, driving foundational improvements that impact engineering teams company-wide.

In this role, you will help introduce cutting-edge tooling, define and promote best practices, and provide hands-on guidance to platform and product teams. This is a unique opportunity to shape the developer experience at scale, strengthen code quality, and contribute to building a more efficient and secure engineering ecosystem.

 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.

Requirements:

• 6+ YoE in software development
• Expertise in Go or Python, or Java or C/C++ (extensive low-level experience)
• Experience writing and patching library code
• Strong understanding of dependency management and low-level backend optimization.

Nice to have:

• C/C++
• Experience with profiling and performance optimization and operating systems internals is a strong plus.

Responsibilities:

• Evolve and maintain the Go ecosystem across large-scale codebases
• Upgrade Go SDKs, runtimes, and core libraries
• Build and improve tooling for library management, debugging, and IDE integration
• Support linters, static analysis, and dependency management tools
• Drive best practices, documentation, and developer experience improvements
• Apply profiling and performance optimization techniques
• Collaborate with cross-functional teams and provide business-hours support on Go topics

Overlap time requirements: flexible with some bias towards US hours (10 АМ PST)

Working conditions and benefits:

• Paid vacation, sick leave (without a 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 meet the company’s business goals
• Internal workshops & seminars
• Corporate library (Paper/E-books) and internal English classes.

Step into your future – apply now 🚀

We are looking for a Senior Machine Learning Scientist / Engineer with a strong research and engineering background in Natural Language Processing and Large Language Models (LLMs) to lead the development of advanced reasoning and summarization systems. You will drive cutting-edge innovation in multi-document understanding, reasoning LLMs, and model alignment techniques, working on greenfield challenges with meaningful, real-world applications.

Requirements:

• Substantial research experience in Reasoning LLMs, Chain of thought, Post training LLMs, RLHF, LLM Alignment, NLP areas
• Hands-on experience with training or fine‑tuning open‑source reasoning LLMs
• Deep expertise in NLP and LLM architectures
• Proven ability to design and run independent research and experimentation
• Strong Python and modern ML tooling skills
• Excellent written and verbal communication

• Ability to work autonomously

   

Nice to have:

• Applied research experience in Financial (Investing) domain
• PhD in Machine Learning, NLP, Computer Science, or a related field
• Applied research experience in industry
• Contributions to notable open‑source LLM projects (datasets, libraries)
• Publications and/or original research in the area

• GCP experience is strongly preferred

   

Overlap: up to 2PM EST (8PM CET)

Project Research Focus: Fine-tuning Large Language Models for task specific behavior.

Tools: Python, HuggingFace Transformers, Unsloth, vLLM, Ray.

Challenges:

• Selecting the right evaluation approach.
• Selecting the best open source base models to use for the task.
• Selecting the best Fine-tuning approach.

Working conditions and benefits:

• Paid vacation, sick leave (without sickness list)
• Official state 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

Step into your future — apply now 🚀

🌎 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.

Requirements:

• Solid understanding of Linux systems and networking fundamentals.
• Extensive hands-on experience with Kubernetes and large-scale container orchestration.
• Proficiency with Infrastructure-as-Code tools (Terraform, Helm, Ansible, etc.).
• Strong automation and scripting skills (Python, Go, or Bash).
• Experience working with observability stacks (Prometheus, Grafana, Loki, Datadog, etc.).

Nice to have:

• Exposure to ML/AI infrastructure or GPU-based systems (CUDA, Slurm, Triton, etc.).
• Familiarity with high-performance networking (InfiniBand, NVLink) or distributed storage solutions (VAST, Weka, Ceph).
• Previous experience in customer-facing support or consulting roles.

Working conditions and benefits:

• Paid vacation, sick leave (without a 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 meet the company’s business goals
• Internal workshops & seminars
• Corporate library (Paper/E-books) and internal English classes.

Step into your future – apply now 🚀