Provectus

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.

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.

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.