Svitla Systems, Inc.
Опис
Svitla Systems is a global digital solutions company headquartered
in California, with business and development offices throughout the US, Latin
America, Europe, and Asia. Svitla is an outspoken advocate of workplace
flexibility, best known for its well-established remote culture, individual
approach to our teammates’ professional and personal growth, and trustworthy
environment. Since 2003, Svitla has served a wide range of clients, from
innovative start-ups in California to mega-large corporations such as Ingenico,
Amplience, InvoiceASAP, and Global Citizen. At Svitla, developers work with
clients’ teams directly, building lasting and successful partnerships
as a result of seamless integration with on-site processes. Svitla Systems’
global mission is to build a business that contributes to the well-being of our
partners, personnel, and their families, improves our communities, and makes
a lasting difference in the world. Join us!
THE OPPORTUNITY
Svitla Systems Inc. is looking for a Senior ML Engineer with NLP and/or LLM for
a full-time position (40 hours per week) in Ukraine and the EU. Our client
develops intelligent devices and systems for real-time supply chain, robotics,
and computer vision operations.
We are looking for three Senior ML Engineers for a single LLM project, each
focusing on one area:
* LLM Development & Optimization
* Audio/Video Processing
* OCR & Vision-Language Models (VLM)
You should have hands-on experience in their focus area and strong skills in NLP
and/or LLMs, contributing to the success of the project.
REQUIREMENTS
* Expertise in programming, problem-solving, and machine learning (ML) and
artificial intelligence (AI).
* Strong programming skills, particularly in Python, and experience using key
data manipulation libraries such as Pandas and NumPy.
* A solid background in machine learning, particularly in classification and
retrieval tasks.
* Hands-on experience with large language models (LLMs), including fine-tuning
for specific use cases, retrieval-augmented generation (RAG), foundation
models APIs, and prompt engineering.
* Familiarity with Faiss for efficient nearest-neighbor search in retrieval
tasks.
* A strong understanding of Natural Language Processing (NLP) is preferred,
with experience in audio/voice manipulation tasks, specifically
text-to-speech (TTS) and speech-to-text (STT).
* Familiarity with the Hugging Face Transformers and Datasets libraries.
* Proficiency in using tools such as Hydra for configuration management and
Weights & Biases for tracking experiments.
* Experience with Git and GitHub for version control and a proven ability
to collaborate effectively in a team environment, particularly when working
on shared codebases and remote projects.
* Strong data management and manipulation skills and experience working
on remote servers to develop and deploy machine learning models.
RESPONSIBILITIES
* Design, develop, and deploy machine learning solutions with a focus
on Natural Language Processing (NLP) and Large Language Models (LLMs).
* Fine-tune large language models for domain-specific applications, including
retrieval-augmented generation (RAG), prompt engineering, and leveraging
foundation model APIs.
* Build and optimize classification, retrieval, and recommendation systems.
* Conduct experiments, track results, and optimize model performance using
tools such as Hydra and Weights & Biases.
* Work with audio/voice processing technologies, including text-to-speech (TTS)
and speech-to-text (STT).
* Implement efficient similarity and nearest-neighbor search using Faiss and
other retrieval frameworks.
* Collaborate with cross-functional teams to integrate ML models into
production systems and deliver scalable, real-world solutions.
* Manage and manipulate large datasets, ensuring high data quality and
reproducibility.
* Contribute to shared codebases with strong use of Git/GitHub, following best
practices for version control and code reviews.
* Prepare clear documentation, procedural guidelines, and technical reports for
both internal and external stakeholders.
* Provide mentorship and technical guidance to junior engineers where needed.
* Support the deployment and monitoring of ML systems on remote servers,
ensuring stability and continuous optimization.
WE OFFER
* US and EU projects based on advanced technologies.
* Competitive compensation based on skills and experience.
* Regular performance appraisals to support your growth.
* Flexibility in workspace, either remote or in one of our development offices.
* Comprehensive medical insurance, including dental and massages.
* Personalized learning program tailored to your interests and skill
development.
* Sport reimbursement program for onsite and online activities.
* Bonuses for recommendations of new employees.
* Bonuses for article writing, public talks, and other activities.
* 20 vacation days, 10 national holidays and 5 sick leaves.
* Maternity leave policy and family days off.
* Free tech webinars and meetups organized by Svitla.
* Welcome and anniversary presents, gifts for children, and more.
* Regular corporate events and meetups.
* Awesome team, friendly and supportive community!
in California, with business and development offices throughout the US, Latin
America, Europe, and Asia. Svitla is an outspoken advocate of workplace
flexibility, best known for its well-established remote culture, individual
approach to our teammates’ professional and personal growth, and trustworthy
environment. Since 2003, Svitla has served a wide range of clients, from
innovative start-ups in California to mega-large corporations such as Ingenico,
Amplience, InvoiceASAP, and Global Citizen. At Svitla, developers work with
clients’ teams directly, building lasting and successful partnerships
as a result of seamless integration with on-site processes. Svitla Systems’
global mission is to build a business that contributes to the well-being of our
partners, personnel, and their families, improves our communities, and makes
a lasting difference in the world. Join us!
THE OPPORTUNITY
Svitla Systems Inc. is looking for a Senior ML Engineer with NLP and/or LLM for
a full-time position (40 hours per week) in Ukraine and the EU. Our client
develops intelligent devices and systems for real-time supply chain, robotics,
and computer vision operations.
We are looking for three Senior ML Engineers for a single LLM project, each
focusing on one area:
* LLM Development & Optimization
* Audio/Video Processing
* OCR & Vision-Language Models (VLM)
You should have hands-on experience in their focus area and strong skills in NLP
and/or LLMs, contributing to the success of the project.
REQUIREMENTS
* Expertise in programming, problem-solving, and machine learning (ML) and
artificial intelligence (AI).
* Strong programming skills, particularly in Python, and experience using key
data manipulation libraries such as Pandas and NumPy.
* A solid background in machine learning, particularly in classification and
retrieval tasks.
* Hands-on experience with large language models (LLMs), including fine-tuning
for specific use cases, retrieval-augmented generation (RAG), foundation
models APIs, and prompt engineering.
* Familiarity with Faiss for efficient nearest-neighbor search in retrieval
tasks.
* A strong understanding of Natural Language Processing (NLP) is preferred,
with experience in audio/voice manipulation tasks, specifically
text-to-speech (TTS) and speech-to-text (STT).
* Familiarity with the Hugging Face Transformers and Datasets libraries.
* Proficiency in using tools such as Hydra for configuration management and
Weights & Biases for tracking experiments.
* Experience with Git and GitHub for version control and a proven ability
to collaborate effectively in a team environment, particularly when working
on shared codebases and remote projects.
* Strong data management and manipulation skills and experience working
on remote servers to develop and deploy machine learning models.
RESPONSIBILITIES
* Design, develop, and deploy machine learning solutions with a focus
on Natural Language Processing (NLP) and Large Language Models (LLMs).
* Fine-tune large language models for domain-specific applications, including
retrieval-augmented generation (RAG), prompt engineering, and leveraging
foundation model APIs.
* Build and optimize classification, retrieval, and recommendation systems.
* Conduct experiments, track results, and optimize model performance using
tools such as Hydra and Weights & Biases.
* Work with audio/voice processing technologies, including text-to-speech (TTS)
and speech-to-text (STT).
* Implement efficient similarity and nearest-neighbor search using Faiss and
other retrieval frameworks.
* Collaborate with cross-functional teams to integrate ML models into
production systems and deliver scalable, real-world solutions.
* Manage and manipulate large datasets, ensuring high data quality and
reproducibility.
* Contribute to shared codebases with strong use of Git/GitHub, following best
practices for version control and code reviews.
* Prepare clear documentation, procedural guidelines, and technical reports for
both internal and external stakeholders.
* Provide mentorship and technical guidance to junior engineers where needed.
* Support the deployment and monitoring of ML systems on remote servers,
ensuring stability and continuous optimization.
WE OFFER
* US and EU projects based on advanced technologies.
* Competitive compensation based on skills and experience.
* Regular performance appraisals to support your growth.
* Flexibility in workspace, either remote or in one of our development offices.
* Comprehensive medical insurance, including dental and massages.
* Personalized learning program tailored to your interests and skill
development.
* Sport reimbursement program for onsite and online activities.
* Bonuses for recommendations of new employees.
* Bonuses for article writing, public talks, and other activities.
* 20 vacation days, 10 national holidays and 5 sick leaves.
* Maternity leave policy and family days off.
* Free tech webinars and meetups organized by Svitla.
* Welcome and anniversary presents, gifts for children, and more.
* Regular corporate events and meetups.
* Awesome team, friendly and supportive community!