Just imagine: ML for making factories safer for workers, preventing vision loss, and reducing the spread of disease, AI for curing eye diseases - it’s about the products we’ve already developed!
Who we are:
- We are a team of more than 500 people from Ukraine, USA, Canada, Poland, Serbia, Armenia, Colombia and Costa Rica.
- We are AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps and Machine Learning.
What we do:
- We design and build AI solutions for industry-specific use cases, leveraging our expertise in data, machine learning, and cloud.
- We use Computer Vision, Natural Language Processing, and Anomaly Detection technologies to empower our clients and drive innovation.
- We help businesses design, architect, migrate, or build cloud-native applications on AWS cloud.
How we work:
- At Provectus, everyone has a voice. Share your vision and ideas, utilize cutting-edge technologies that drive positive change on a global scale, contribute to open source projects, and realize your full potential!
- We are committed to developing tech communities in every market where we operate. Join our open knowledge sharing events, tech conferences, internships and educational programs.
- Work from wherever works for you. Provectus offers a hybrid work model for our employees. Work from home or at the office, or combine the two.
Be Heard. Be Empowered. Make a Difference.
Apply now!
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· 36 views · 5 applications · 7d
AI/ML TechLead (LLMs, aws)
Full Remote · Countries of Europe or Ukraine · 5 years of experience · Upper-IntermediateWe are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a...We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
Responsibilities:
- Leadership & Management
-Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
-Drive the roadmap for machine learning projects aligned with business goals;
-Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. - Machine Learning & LLM Expertise
-Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
-Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
-Stay ahead of advancements in LLMs and apply emerging technologies;
-Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. - AWS Cloud Expertise
-Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
-Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
-Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. - Technical Execution
-Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
-Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
-Debug, troubleshoot, and optimize production ML models for performance. - Team Development & Communication
-Conduct regular code reviews and ensure engineering standards are upheld;
-Facilitate professional growth and learning for the team through continuous feedback and guidance;
-Communicate progress, challenges, and solutions to stakeholders and senior leadership.
Qualifications: - Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
- Strong expertise in AWS Cloud Services;
- Strong experience in ML/AI, including at least 2 years in a leadership role;
- Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
- Familiarity with MLOps tools and best practices;
- Excellent problem-solving and decision-making abilities;
- Strong communication skills and the ability to lead cross-functional teams;
- Passion for mentoring and developing engineers.
- Leadership & Management
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· 34 views · 5 applications · 7d
AI/ML TechLead (LLMs, aws)
Full Remote · Armenia, Colombia, Costa Rica, Ukraine · 5 years of experience · Upper-IntermediateWe are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a...We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
Responsibilities:
- Leadership & Management
-Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
-Drive the roadmap for machine learning projects aligned with business goals;
-Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. - Machine Learning & LLM Expertise
-Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
-Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
-Stay ahead of advancements in LLMs and apply emerging technologies;
-Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. - AWS Cloud Expertise
-Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
-Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
-Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. - Technical Execution
-Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
-Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
-Debug, troubleshoot, and optimize production ML models for performance. - Team Development & Communication
-Conduct regular code reviews and ensure engineering standards are upheld;
-Facilitate professional growth and learning for the team through continuous feedback and guidance;
-Communicate progress, challenges, and solutions to stakeholders and senior leadership.
Qualifications: - Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
- Strong expertise in AWS Cloud Services;
- Strong experience in ML/AI, including at least 2 years in a leadership role;
- Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
- Familiarity with MLOps tools and best practices;
- Excellent problem-solving and decision-making abilities;
- Strong communication skills and the ability to lead cross-functional teams;
- Passion for mentoring and developing engineers.
- Leadership & Management
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· 15 views · 0 applications · 9d
Machine Learning Lead (GenAI)
Full Remote · Ukraine · 5 years of experience · Upper-IntermediateAbout project Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right...About project
Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
Responsibilities:
- Leadership & Management
- Machine Learning & LLM Expertise
- AWS Cloud Expertise, Bedrock
- Technical Execution
- Team Development & Communication
Qualifications:
- Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
- Strong expertise in AWS Cloud Services;
- Strong experience in ML/AI, including at least 2 years in a leadership role;
- Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
- Familiarity with MLOps tools and best practices;
- Excellent problem-solving and decision-making abilities;
- Strong communication skills and the ability to lead cross-functional teams;
- Passion for mentoring and developing engineers.
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· 15 views · 4 applications · 7d
Middle/Senior Machine Learning Engineer
Full Remote · EU · 4 years of experience · Upper-IntermediateJoin us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride...Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Requirements:
- Comfortable with standard ML algorithms and underlying math.
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production.
- Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
- Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
- Python expertise, Docker.
- English level - strong Intermediate.
- Excellent communication and problem-solving skills.
Will be a plus:
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
- Practical experience with deep learning models.
- Experience with taxonomies or ontologies.
- Practical experience with machine learning pipelines to orchestrate complicated workflows.
- Practical experience with Spark/Dask, Great Expectations.
Responsibilities:
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
- Stay updated with the latest developments in ML and AI and propose innovative solutions.
-
· 11 views · 2 applications · 7d
Middle/Senior Machine Learning Engineer
Full Remote · Armenia, Bulgaria, Moldova, North Macedonia, Montenegro · 4 years of experience · Upper-IntermediateJoin us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride...Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Requirements:
- Comfortable with standard ML algorithms and underlying math.
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production.
- Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
- Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
- Python expertise, Docker.
- English level - strong Intermediate.
- Excellent communication and problem-solving skills.
Will be a plus:
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
- Practical experience with deep learning models.
- Experience with taxonomies or ontologies.
- Practical experience with machine learning pipelines to orchestrate complicated workflows.
- Practical experience with Spark/Dask, Great Expectations.
Responsibilities:
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
- Stay updated with the latest developments in ML and AI and propose innovative solutions.
-
· 24 views · 0 applications · 7d
Middle/Senior Machine Learning Engineer
Full Remote · Bosnia & Herzegovina, Serbia, Ukraine, Montenegro, North Macedonia · 4 years of experience · Upper-IntermediateJoin us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride...Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Requirements:
- Comfortable with standard ML algorithms and underlying math.
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production.
- Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
- Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
- Python expertise, Docker.
- English level - strong Intermediate.
- Excellent communication and problem-solving skills.
Will be a plus:
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
- Practical experience with deep learning models.
- Experience with taxonomies or ontologies.
- Practical experience with machine learning pipelines to orchestrate complicated workflows.
- Practical experience with Spark/Dask, Great Expectations.
Responsibilities:
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
- Stay updated with the latest developments in ML and AI and propose innovative solutions.
-
· 11 views · 1 application · 8d
ML Tech Lead (with GenAI and Bedrock)
Full Remote · Countries of Europe or Ukraine · 6 years of experience · Advanced/FluentProvectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases,...Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
Responsibilities:
- Leadership & Management
- Machine Learning & LLM Expertise
- AWS Cloud Expertise
- Technical Execution
- Team Development & Communication
Qualifications:
- Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
- Strong expertise in AWS Cloud Services;
- Strong experience in ML/AI, including at least 2 years in a leadership role;
- Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
- Familiarity with MLOps tools and best practices;
- Excellent problem-solving and decision-making abilities;
- Strong communication skills and the ability to lead cross-functional teams;
- Passion for mentoring and developing engineers.
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· 13 views · 1 application · 8d
Data practice leader
EU · 8 years of experience · Advanced/FluentProvectus is seeking a Data Practice Lead to drive the growth and leadership of our Data practice. This is a key leadership role responsible for managing a team of 25–30 data professionals and shaping the strategic direction of data initiatives across the...Provectus is seeking a Data Practice Lead to drive the growth and leadership of our Data practice. This is a key leadership role responsible for managing a team of 25–30 data professionals and shaping the strategic direction of data initiatives across the company.
Location: Novi Sad, Serbia, remote, office is voluntary (CANDIDATES FROM OTHER LOCATIONS WONT BE CONSIDERED)
About the Role
As the Data Practice Lead, you will:
- Lead and develop a high-performing team of 25–30 data engineers and analysts.
- Define the vision and strategic roadmap for the Data practice, aligning with the company’s overall objectives.
- Oversee the delivery of complex data engineering, analytics, and AI/ML solutions for enterprise clients.
- Partner with pre-sales and delivery teams to design innovative data solutions and win new business.
- Act as a key point of contact for stakeholders, ensuring alignment, transparency, and excellence in execution.
- Foster a culture of technical excellence, collaboration, and continuous improvement.
This role is ideal for a seasoned leader with a strong technical foundation in data and cloud technologies, combined with proven experience in managing large teams and driving strategic initiatives.
Key Responsibilities
- Build, mentor, and scale the Data practice team to support current and future business needs.
- Drive innovation within the Data practice by adopting emerging technologies and best practices.
- Ensure high-quality project delivery, meeting client expectations and timelines.
- Collaborate with other practice leads and executives to align cross-practice initiatives.
- Participate in pre-sales activities, including solution architecture design and client presentations.
- Track and manage KPIs for team performance, client satisfaction, and financial targets.
Required Skills & Experience
- 8+ years of experience in data engineering, analytics, or related fields.
- 3+ years in a leadership role managing teams of 20+ people.
- Hands-on expertise in data architectures, cloud platforms (preferably AWS), and modern data engineering tools.
- Strong understanding of data pipelines, analytics solutions, and AI/ML workflows.
- Excellent leadership, communication, and stakeholder management skills.
- Ability to work in a fast-paced, dynamic environment and make decisions under pressure.
- Experience in building and scaling data practices in consulting or service companies.
- Fluency in Russian is preferred to support team communication.
Preferred Qualifications
- Exposure to multi-region team management.
- Familiarity with pre-sales and business development processes.
What We Offer
- Competitive salary and performance bonus
- Opportunity to lead a growing practice and shape its strategic direction
- Work with cutting-edge technologies and global enterprise clients.
- Collaborative and innovative work culture.
About Provectus
Provectus is a global technology company specializing in AI, Data, and Cloud transformation. We partner with leading enterprises to deliver innovative solutions that drive business success. Our culture fosters collaboration, innovation, and growth, making Provectus an ideal place for talented individuals to thrive.
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· 122 views · 24 applications · 24d
Java tech lead
Full Remote · Countries of Europe or Ukraine · 5 years of experience · Upper-IntermediateProvectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases,...Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
We are looking for a talented Tech Lead with exceptional communication skills in English and a strong aptitude for leadership and collaboration. This is an exciting opportunity to lead a new team while working on cutting-edge technologies in a dynamic and fast-paced environment.
Responsibilities:
- Lead the design, development, and maintenance of Spring Boot applications running on Kubernetes, ensuring scalability and high performance.
- Architect and implement robust APIs using REST and GraphQL.
- Oversee database management (e.g., MySQL, Cassandra) and design and maintain CI/CD pipelines (GitLab, Nexus).
- Implement and manage monitoring systems using tools like Prometheus, Kibana, and Grafana.
- Develop and maintain cloud-native solutions leveraging AWS services.
- Occasionally assist with front-end tasks in ReactJS.
- Provide technical guidance and mentorship to your team, ensuring seamless project delivery.
Requirements:
Technical Qualifications
- Application Design: Proven experience in architecting scalable, high-performance applications for high-load environments.
- Java/Kotlin Expertise: Strong programming experience in Java 11+ and/or Kotlin development.
- Containerization and Orchestration: Strong experience with Docker, proficiency with Kubernetes.
- Build Tools: Proficiency with Maven or Gradle.
- Database Migrations: Experience with migration tools and database schema design.
- Cloud-Native Knowledge: Proficiency in serverless frameworks and AWS services; experience designing cloud-based applications.
- Monitoring/Metrics Tools: Experience with tools such as Kibana, Grafana, CloudWatch, and Prometheus for monitoring and performance metrics.
- Version Control and CI/CD: Solid understanding of GitLab and GitLab pipelines.
Frontend Basics: Basic exposure to ReactJS and front-end development.
Leadership and Soft Skills
- Demonstrated ability to lead a team of engineers effectively.
- Strong collaboration and interpersonal skills to work with cross-functional teams and clients.
Fluent English communication for client interactions and team coordination.
Nice-to-Have:
- Experience with OpenSearch.
- Exposure to performance testing tools and techniques.
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· 19 views · 3 applications · 9d
Machine Learning Tech Lead, GenAI to $7000
Full Remote · Countries of Europe or Ukraine · 5 years of experience · Upper-IntermediateProvectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases,...Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
Responsibilities:
- Leadership & Management
-Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
-Drive the roadmap for machine learning projects aligned with business goals;
-Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
- Machine Learning & LLM Expertise
-Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
-Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
-Stay ahead of advancements in LLMs and apply emerging technologies;
-Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
- AWS Cloud Expertise
-Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
-Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
-Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
- Technical Execution
-Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
-Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
-Debug, troubleshoot, and optimize production ML models for performance.
- Team Development & Communication
-Conduct regular code reviews and ensure engineering standards are upheld;
-Facilitate professional growth and learning for the team through continuous feedback and guidance;
-Communicate progress, challenges, and solutions to stakeholders and senior leadership.
Qualifications:
- Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
- Strong expertise in AWS Cloud Services;
- Strong experience in ML/AI, including at least 2 years in a leadership role;
- Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
- Familiarity with MLOps tools and best practices;
- Excellent problem-solving and decision-making abilities;
- Strong communication skills and the ability to lead cross-functional teams;
- Passion for mentoring and developing engineers.
-
· 42 views · 14 applications · 9d
Middle/Senior ML Engineer
Full Remote · Countries of Europe or Ukraine · 4 years of experience · Upper-IntermediateJoin us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride...Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Requirements:
- Comfortable with standard ML algorithms and underlying math.
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production.
- Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
- Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
- Python expertise, Docker.
- English level - strong Intermediate.
- Excellent communication and problem-solving skills.
Will be a plus:
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
- Practical experience with deep learning models.
- Experience with taxonomies or ontologies.
- Practical experience with machine learning pipelines to orchestrate complicated workflows.
- Practical experience with Spark/Dask, Great Expectations.
Responsibilities:
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
- Stay updated with the latest developments in ML and AI and propose innovative solutions.
-
· 20 views · 7 applications · 7d
Middle/Senior Machine Learning Engineer
Full Remote · Bosnia & Herzegovina, Moldova, North Macedonia, Montenegro, Ukraine · 4 years of experience · Upper-IntermediateJoin us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride...Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Requirements:
- Comfortable with standard ML algorithms and underlying math.
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production.
- Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
- Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
- Python expertise, Docker.
- English level - strong Intermediate.
- Excellent communication and problem-solving skills.
Will be a plus:
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
- Practical experience with deep learning models.
- Experience with taxonomies or ontologies.
- Practical experience with machine learning pipelines to orchestrate complicated workflows.
- Practical experience with Spark/Dask, Great Expectations.
Responsibilities:
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
- Stay updated with the latest developments in ML and AI and propose innovative solutions.
-
· 10 views · 4 applications · 1d
Senior Machine Learning Engineer
Full Remote · Countries of Europe or Ukraine · 5 years of experience · Advanced/FluentJoin us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride...Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Requirements:
- Comfortable with standard ML algorithms and underlying math.
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production.
- Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
- Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
- Python expertise, Docker.
- English level - strong Intermediate.
- Excellent communication and problem-solving skills.
Will be a plus:
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda).
- Practical experience with deep learning models.
- Experience with taxonomies or ontologies.
- Practical experience with machine learning pipelines to orchestrate complicated workflows.
- Practical experience with Spark/Dask, Great Expectations.
Responsibilities:
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
- Stay updated with the latest developments in ML and AI and propose innovative solutions.