ML Tech Lead, GenAI Job at Provectus

Machine Learning Tech Lead, GenAI

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Salary:

8000.00 USD / Month

Provectus

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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
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
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

What we offer

Annual Performance Bonus: 10% of base salary
Sign-In Bonus: USD 8,000 — paid in two installments: 50% upon start (USD 4,000) 50% upon completion of trial period (USD 4,000)

ML Tech Lead (GenAI)

As an ML Tech Lead, you'll provide technical leadership and mentorship for our M...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Technical Leadership (40%): Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentorship & Team Development (35%): Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

ML Tech Lead (GenAI)

As an ML Tech Lead, you'll provide technical leadership and mentorship for our M...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Technical Leadership (40%): Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentorship & Team Development (35%): Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
Strong track record of shipping ML-powered or LLM-integrated user-facing products
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
Strong product intuition and ability to translate complex tech into valuable user features
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Job Responsibility

Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
Mentor individuals to grow in both technical depth and product acumen
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
Champion data quality, grounding, and responsible AI practices in all deployed features

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

AI Tech Lead

Addepto is a leading AI consulting and data engineering company that builds scal...

Location

Poland , Warsaw; Cracow; Wroclaw; Bialystok

Salary:

19320.00 - 28560.00 PLN / Month

Addepto sp. z o.o.

Expiration Date

Until further notice

Requirements

6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams
Proficiency in developing ML algorithms from scratch to production deployment
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)
Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)
High proficiency in English (C1 level)
Excellent communication skills and consulting experience with direct interaction with clients
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)
Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Job Responsibility

Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives
Lead the design of AI solution architectures that meet complex business goals and drive innovation
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills
Understand clients’ needs and translate business problems into data science problems
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
Present findings and recommendations clearly and concisely to stakeholders
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery

What we offer

Work in a supportive team of passionate enthusiasts of AI & Big Data
Engage with top-tier global enterprises and cutting-edge startups on international projects
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications
Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off
Participate in team-building events and utilize the integration budget
Celebrate work anniversaries, birthdays, and milestones
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching
Get full work equipment for optimal productivity, including a laptop and other necessary devices
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups

Fulltime

New

AI Enablement and Project Specialist

As an AI Enablement and Project Specialist on our Learning, Enablement and Trans...

Location

Salary:

Not provided

Superside

Expiration Date

Until further notice

Requirements

Experience in project management or operational coordination within a creative, agency, or fast-paced environment
Hands-on familiarity with applying AI tools to project management and creative workflows
Ability to create clear, practical learning content and support live training sessions
Strong organizational skills with attention to detail and follow-through
Collaborative, adaptable mindset with comfort operating in a hybrid role
Clear written and verbal English communication skills

Job Responsibility

AI Bootcamps & Upskilling Initiatives: Collaborate closely on AI bootcamps and other upskilling initiatives, providing hands-on support in developing and delivering learning content
Learning Content Creation: Assist in the creation of engaging instructional materials that make complex AI concepts accessible and easy to grasp for creative teams
Workshops & Coaching: Facilitate and co-lead workshops or coaching sessions, helping creatives integrate AI into their daily workflows
Agile Team Support: Adapt quickly to evolving team needs and be a flexible, agile contributor across various Learning, Enablement and Transformation projects

What we offer

Remote-first company
Global community spanning 60+ countries
Fast-paced, high-energy environment
Trust, collaboration, and continuous learning
Opportunity to influence product
Stability of a thriving scale-up
Career advancement through growing responsibility and mentorship
Continuous learning opportunities
Constant mentoring
Leadership development efforts

New

Retail Wireless Consultant

Mobile Experts (ME) work as part of a Retail Team of Experts to bring the T-Mobi...

Location

United States , Auburn

Salary:

20.00 USD / Hour

T-Mobile

Expiration Date

Until further notice

Requirements

High School Diploma/GED
6 months of customer service and/or sales experience, Retail environment preferred
Customer Satisfaction Passionate customer advocate
Team Building Desire to be a part of the T-Mobile store team
Retail Sales Competitive drive and confidence to succeed in a fast-paced sales environment
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Serving and selling to our customers, while providing a best in class customer experience and building loyalty
Consistently leverages digital tools in interactions and onboarding
Completes training on T-Mobile in-store experience, new skills and processes, knowledge of systems and reference resources
Makes the most of their time on shift, consistently seeking out information between customers, learning about innovations in wireless and technology
Partners with T-Mobile employees across channels, including business and customer service

What we offer

Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits

Fulltime

New

Senior IT Infrastructure Engineer

We’re looking for an experienced Senior IT Infrastructure Engineer to design, ma...

Location

United Kingdom , Abingdon

Salary:

Not provided

AM Healthcare Group

Expiration Date

Until further notice

Requirements

10+ years in IT infrastructure roles, including 5+ years in a senior/lead capacity
Microsoft Azure, Windows Server, SQL Server, Active Directory, Group Policy, DNS, DHCP, LAN/WAN, firewalls, and VPNs
Experience with Microsoft 365, Intune, Endpoint Manager, and automation scripting (PowerShell)
Proven track record managing secure, compliant IT environments
Ability to work independently, prioritise tasks, and deliver projects on time
Degree in Computer Science, Information Technology, or equivalent experience

Job Responsibility

Implement, and maintain hybrid infrastructure solutions (Azure + on-prem) that meet performance, security, and compliance requirements
Maintain and secure Active Directory, Group Policy, DNS, DHCP, and Azure AD (Entra ID) synchronisation
Provide 2nd & 3rd Line support for IT Infrastructure & Systems
Take ownership of infrastructure projects from design through to successful delivery, ensuring clear documentation, stakeholder engagement, and post-implementation review
Collaborate closely with IT leadership, software, and clinical application teams to support digital transformation and integration objectives
Maintain alignment with Cyber Essentials Plus & GDPR
Contribute to security risk assessments, incident response, and audit readiness
Automate deployment and maintenance tasks using PowerShell, Azure Automation, or equivalent tools
Maintain infrastructure observability through tools

What we offer

Competitive market salary
Incremental holiday allowance starting at 35 days, increasing to 41 days with length of service (inclusive of bank holidays)
Death in Service (3x basic salary)
Refer a Friend incentive scheme
Enhanced Family Leave/Pay
Recognition schemes
Continuing professional development

Fulltime

ML Tech Lead, GenAI

Provectus

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for ML Tech Lead, GenAI

Machine Learning Tech Lead, GenAI

ML Tech Lead (GenAI)

ML Tech Lead (GenAI)

Senior Machine Learning Engineering Manager, Gen AI

AI Tech Lead

AI Enablement and Project Specialist

Retail Wireless Consultant

Senior IT Infrastructure Engineer

ML Tech Lead, GenAI

Provectus

Location:

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:December 11, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for ML Tech Lead, GenAI

Machine Learning Tech Lead, GenAI

ML Tech Lead (GenAI)

ML Tech Lead (GenAI)

Senior Machine Learning Engineering Manager, Gen AI

AI Tech Lead

AI Enablement and Project Specialist

Retail Wireless Consultant

Senior IT Infrastructure Engineer

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
December 11, 2025