Provectus

About project
 

Provectus, a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning. With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries.

Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering.
 

As a Data Solutions Architect, you will lead the design, architecture, and implementation of large-scale data solutions for our clients. You will act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value.
 

Responsibilities:

     Strategic Technical Leadership

• Lead high-impact customer engagements focused on AWS Data Platform solutions;

• Define and drive technical strategies that align AWS capabilities with customer objectives, incorporating Databricks, GCP, or Azure where appropriate.

  Solution Architecture and Design

• Architect and design scalable data platforms using AWS, ensuring optimal performance, security, and cost-efficiency;
• Integrate AWS services with other solutions (Databricks, Snowflake, GCP, or Azure) as needed, selecting the right technologies and tools to meet customer needs;

• Develop and maintain comprehensive architectural documentation aligned with organizational technical standards.

  Pre-Sales Activities

• Partner with the sales team, providing technical expertise to position AWS-based data solutions effectively;
• Participate in customer meetings to assess technical needs, scope solutions, and identify growth opportunities;
• Create technical proposals, solution architectures, and presentations to support sales efforts and align with customer expectations;
• Assist in responding to RFPs/RFIs with accurate technical input and align solutions to client requirements;

• Demonstrate AWS capabilities through POCs and technical demonstrations to showcase proposed solutions.

  Customer Engagement and Relationship Management

• Build and maintain strong relationships with key customer stakeholders, acting as a trusted advisor for data platform initiatives;

• Lead discovery workshops to understand customer requirements, KPIs, and technical constraints.

  Project Leadership and Delivery

• Oversee the end-to-end implementation of AWS-based data platforms, coordinating with engineering teams to ensure successful delivery;

• Manage technical risks and develop mitigation strategies.

  Innovation and Best Practices

• Stay up-to-date with the latest developments in AWS, Databricks, GCP, Azure, and cloud technologies;

• Develop and promote best practices in data platform architecture, data pipelines, and data governance.

  Cross-Functional Collaboration

• Collaborate with AI/ML teams to integrate advanced analytics and machine learning capabilities into AWS and other cloud platforms;

• Work with DevOps teams to implement CI/CD pipelines and automation for data workflows.

  Mentorship and Knowledge Sharing

• Mentor junior architects and engineers, fostering a culture of continuous learning and professional development;

• Contribute to knowledge-sharing initiatives through technical blogs, case studies, and industry event presentations.

  Governance, Compliance, and Security

• Ensure that AWS-based data platform solutions comply with relevant security standards and regulations;
• Implement data governance frameworks to maintain data quality and integrity.
   

Requirements:

• Experience in data solution architecture;.
• Proven experience in designing and implementing large-scale data engineering solutions on AWS;
• Experience with Databricks, GCP, or Azure solutions is required;
• Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS;
• Proficient in programming languages like Python, SQL, and Scala;
• Experience with data warehousing, ETL processes, and real-time data streaming;
• Familiarity with open-source technologies and tools in data engineering;
• AWS Certified Solutions Architect – Professional (or similar) is required;
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders;
• Strong leadership and project management skills;
• Ability to work collaboratively in a cross-functional team environment.
   

Will Be a Plus:

• Certifications in Databricks, GCP, or Azure;
• Experience with AWS Migration Acceleration Programs (MAP);
• Experience with AI/ML integration in data platforms;
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field;
• Contributions to open-source projects or active participation in the data engineering community.

About project
 

Provectus, a leading AI consultancy and solutions provider specializing in Data Engineering and Machine Learning. With a focus on helping businesses unlock the power of their data, we leverage the latest technologies to build innovative data platforms that drive results. Our Data Engineering team consists of top-tier professionals who design, implement, and optimize scalable, data-driven architectures for clients across various industries.

Join us if you have the same passion for making products using AI/ML technologies, cloud services, and data engineering.
 

As a Data Solutions Architect, you will lead the design, architecture, and implementation of large-scale data solutions for our clients. You will act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value.
 

Responsibilities:

     Strategic Technical Leadership

• Lead high-impact customer engagements focused on AWS Data Platform solutions;

• Define and drive technical strategies that align AWS capabilities with customer objectives, incorporating Databricks, GCP, or Azure where appropriate.

  Solution Architecture and Design

• Architect and design scalable data platforms using AWS, ensuring optimal performance, security, and cost-efficiency;
• Integrate AWS services with other solutions (Databricks, Snowflake, GCP, or Azure) as needed, selecting the right technologies and tools to meet customer needs;

• Develop and maintain comprehensive architectural documentation aligned with organizational technical standards.

  Pre-Sales Activities

• Partner with the sales team, providing technical expertise to position AWS-based data solutions effectively;
• Participate in customer meetings to assess technical needs, scope solutions, and identify growth opportunities;
• Create technical proposals, solution architectures, and presentations to support sales efforts and align with customer expectations;
• Assist in responding to RFPs/RFIs with accurate technical input and align solutions to client requirements;

• Demonstrate AWS capabilities through POCs and technical demonstrations to showcase proposed solutions.

  Customer Engagement and Relationship Management

• Build and maintain strong relationships with key customer stakeholders, acting as a trusted advisor for data platform initiatives;

• Lead discovery workshops to understand customer requirements, KPIs, and technical constraints.

  Project Leadership and Delivery

• Oversee the end-to-end implementation of AWS-based data platforms, coordinating with engineering teams to ensure successful delivery;

• Manage technical risks and develop mitigation strategies.

  Innovation and Best Practices

• Stay up-to-date with the latest developments in AWS, Databricks, GCP, Azure, and cloud technologies;

• Develop and promote best practices in data platform architecture, data pipelines, and data governance.

  Cross-Functional Collaboration

• Collaborate with AI/ML teams to integrate advanced analytics and machine learning capabilities into AWS and other cloud platforms;

• Work with DevOps teams to implement CI/CD pipelines and automation for data workflows.

  Mentorship and Knowledge Sharing

• Mentor junior architects and engineers, fostering a culture of continuous learning and professional development;

• Contribute to knowledge-sharing initiatives through technical blogs, case studies, and industry event presentations.

  Governance, Compliance, and Security

• Ensure that AWS-based data platform solutions comply with relevant security standards and regulations;
• Implement data governance frameworks to maintain data quality and integrity.
   

Requirements:

• Experience in data solution architecture;.
• Proven experience in designing and implementing large-scale data engineering solutions on AWS;
• Experience with Databricks, GCP, or Azure solutions is required;
• Deep expertise in AWS platform services, including S3, EC2, Lambda, EMR, Glue, Redshift, AWS MSK, and EKS;
• Proficient in programming languages like Python, SQL, and Scala;
• Experience with data warehousing, ETL processes, and real-time data streaming;
• Familiarity with open-source technologies and tools in data engineering;
• AWS Certified Solutions Architect – Professional (or similar) is required;
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders;
• Strong leadership and project management skills;
• Ability to work collaboratively in a cross-functional team environment.
   

Will Be a Plus:

• Certifications in Databricks, GCP, or Azure;
• Experience with AWS Migration Acceleration Programs (MAP);
• Experience with AI/ML integration in data platforms;
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field;
• Contributions to open-source projects or active participation in the data engineering community.

We are seeking a talented and experienced Data Engineer to join our team at Provectus. As part of our diverse practices, including Data, Machine Learning, DevOps, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers. You will encounter numerous technical challenges and have the opportunity to contribute to Provectus’ open source projects, build internal solutions, and engage in R&D activities, providing an excellent environment for professional growth.
 

Requirements:

• Experience in data engineering;
• Experience working with Cloud Solutions (preferably AWS, also GCP or Azure);
• Experience with Cloud Data Platforms (e.g., Snowflake, Databricks);
• Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation;
• Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.;
• Proficiency in programming languages relevant to data engineering such as Python and SQL;
• Experience in building scalable APIs;
• Experience in building Generative AI Applications (e.g., chatbots, RAG systems);
• Familiarity with Data Governance aspects like Quality, Discovery, Lineage, Security, Business Glossary, Modeling, Master Data, and Cost Optimization;
• Advanced or Fluent English skills;
• Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.
   

Nice to Have:

• Relevant AWS, GCP, Azure, Databricks certifications;
• Knowledge of BI Tools (Power BI, QuickSight, Looker, Tableau, etc.);
• Experience in building Data Solutions in a Data Mesh architecture;
• Familiarity with classical Machine Learning tasks and tools (e.g., OCR, AWS SageMaker, MLFlow, etc.).
   

Responsibilities:

• Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals;
• Collect and manage large volumes of varied data sets;
• Work directly with Data Scientists and ML Engineers to create robust and resilient data pipelines that feed Data Products;
• Define data models that integrate disparate data across the organization;
• Design, implement, and maintain ETL/ELT data pipelines;
• Perform data transformations using tools such as Spark, Trino, and AWS Athena to handle large volumes of data efficiently;
• Develop, continuously test and deploy Data API Products with Python and frameworks like Flask or FastAPI.

About Provectus

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.

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.

Provectus helps companies adopt AI to transform the ways they operate, compete, and drive value.

The focus of the company is on building 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.

The role of a Practice Leader is crucial to the company’s Application Development practice, as it involves not only managing people but also ensuring the successful execution of projects and driving technical excellence. A Practice Leader must have sufficient technical experience to maintain and demonstrate the best market practices while keeping abreast of the latest technologies.

We are looking for candidates with strong software engineering experience in Python and demonstrated people management skills.

Technical:

• Strong understanding of Python patterns & best practices.
• Experience in building and deploying scalable web applications.
• Ability to explain every design choice one makes.
• Ability to explain decisions, status, and roadmap to non-technical customer representatives.
• Ability to create reusable components and libraries for application development.
• Experience with building backend services and APIs using Python frameworks (FastAPI, Flask, Django).
• Practical experience with AWS and other cloud platforms such as GCP or Azure.
• Practical experience with post-production support & maintenance: monitoring, troubleshooting, automation, etc.
• Experience in GenAI, ML, or Data products.
• Practical experience with variety of data sources (OLTP, OLAP, DataLake, Streaming).

Management:

• Experience in team/department leadership.
• Relationship/team building. Leadership requires building and maintaining a solid and collaborative team of individuals working toward the same goal.
• Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve goals.
• Diplomatic skills. It means more than just "communication skills" and includes ethics, empathy, compassion, and the ability to resolve conflicts.
• Calmness. Managing diverse personalities requires readiness for any objectives or misunderstandings.

Responsibilities: 

• Strategic Leadership: Develop and implement the strategic vision, ensuring alignment with business goals. Drive growth by identifying emerging trends and fostering innovation.
• Team Leadership: Lead and mentor the team, promote a collaborative culture, and manage performance through feedback and goal setting.
• Practice Development: Evolve service offerings, collaborate with sales and marketing, and pursue business opportunities to expand the practice.
• Project Delivery & Technical Excellence: Oversee the delivery of multiple projects—either directly or through the team—ensuring smooth execution and maintaining high standards of technical excellence.
• Financial Management: Oversee budgeting, forecasting, and P&L, ensuring the Practice is within budget and resources are utilized effectively.
• Staffing & Resource Management: Manage project staffing, collaborate with talent acquisition, and optimize resource utilization across projects.
• Quality Assurance: Establish best practices, conduct project reviews, and drive continuous improvement in processes and capabilities.
• Collaboration & Knowledge Sharing: Collaborate across practices, contribute to strategic company initiatives and foster a culture of internal knowledge sharing.

As a NOC engineer you will be an entry-point of communications for our customers. Also you is the first to monitor, maintain, troubleshoot and recover client’s infrastructure.

This is a good opportunity to develop your DevOps career.

Requirements:

— English level: upper intermediate

— Shift work schedule (shift 12 hours, from 9 to 21, night and day alternate, schedule 12h through 48h)

— Experience in Network management

— Knowledge of different OS: Unix, Linux, Windows

Responsibilities:

— Monitor all of our data centers, servers, applications, performance and availability

— Assess and prioritize faults, and respond or escalate accordingly

— Providing 24/7 technical support ;

— Oral and written communications with customers;.

— Follow NOC processes and procedures for efficient monitoring and communication

— Troubleshoot issues by utilizing provided toolbox and define new advanced tools

We offer:

— Opportunities for education, professional development, and growth.

— Challenging projects that let you engage with the latest technologies.

— Preparation for AWS certification exams.

— Corporate English classes and Soft skills Club.

— Internal tech events, such as Demo Days and Knowledge Sharing sessions.

— Leadership and mentorship programs.

— Udemy courses and offline training for any tech discipline.

— Minimum bureaucracy, maximum focus on results.

— Medical insurance or health club membership.

— Annual package of paid vacation and sick days.

— A friendly corporate environment that welcomes every employee into the Provectus family.

— Flexible schedule, with options such as remote work from home, and 24/7 coworking at your convenience.

— Offline and online corporate parties — we like having fun together!

— Gifts for birthdays, childbirth, weddings, and other special occasions.

— Find out more about our company: provectus.com.