ML Tech Lead Job at Provectus (Medellín)

ML Tech Lead, GenAI

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

Location

Salary:

Not provided

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

Tech Lead

At JFrog, we’re reinventing DevOps and MLOps to help the world’s greatest compan...

Location

Israel , Netanya/Tel Aviv

Salary:

Not provided

JFrog

Expiration Date

Until further notice

Requirements

7+ years building large-scale backend or distributed systems
Strong foundation in distributed systems (consistency, replication, concurrency, fault tolerance)
Proficiency in Java / Go or similar languages
Hands-on experience with high-performance, scalable, and reliable systems
Ability to lead design discussions and influence technical direction across teams
Curiosity and willingness to work with ML systems and workload patterns
Experience with Kubernetes, container orchestration, or cloud-native infrastructure
Thrive in a collaborative, ownership-driven engineering culture

Job Responsibility

Design and evolve components for managing and distributing ML/AI models and artifacts at scale
Extend the platform to support reliable, high-performance inference and training workflows
Lead cross-team technical initiatives and serve as a reference for distributed systems and ML infra design
Write maintainable, high-quality code in performance-critical areas
Mentor engineers and drive strong engineering practices
Collaborate with adjacent teams to ensure seamless end-to-end ML platform behavior
Improve the reliability, efficiency, and observability of core services

Generative AI Tech Lead

Provectus is an AI-first consultancy that helps global enterprises adopt Machine...

Location

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in Machine Learning, Deep Learning, or NLP
2+ years in a technical leadership or team lead role
Strong expertise with LLMs (Hugging Face, OpenAI, Anthropic) and modern NLP stacks
Strong hands-on experience with AWS ML ecosystem (SageMaker, Bedrock, Lambda, S3, ECS/ECR)
Excellent Python engineering skills and proficiency with PyTorch or TensorFlow
Experience building ML systems in production, not just research
Solid knowledge of MLOps/LLMOps tools, pipelines, and deployment best practices
Strong architectural thinking and ability to design scalable ML systems
Excellent communication skills and ability to lead cross-functional teams
Passion for mentoring engineers and raising the technical bar

Job Responsibility

Lead, mentor, and grow a team of 5–10 ML, Data, and Software Engineers
Define and drive the technical roadmap for ML/AI initiatives
Foster a high-performance culture focused on ownership, learning, and engineering excellence
Work closely with Product, Data, and Platform teams to deliver end-to-end AI systems
Design, fine-tune, and deploy LLMs and ML models for real production use cases
Build systems for RAG, summarization, text generation, entity extraction, and other NLP/LLM workflows
Explore and implement emerging GenAI/LLM techniques and infrastructure
Contribute across the ML stack: NLP, deep learning, CV, RL, and classical ML
Architect and operate scalable ML/AI systems using AWS (SageMaker, Bedrock, Lambda, S3, ECS/ECR…)
Optimize model training, inference pipelines, and data workflows for scale, cost, and latency

What we offer

Sing-up bonus
10% Annual bonus
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, and public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Principal Machine Learning Tech Lead

We are looking for a highly skilled and innovative Principal Machine Learning Te...

Location

United States

Salary:

312000.00 USD / Year

Blue River Technology

Expiration Date

Until further notice

Requirements

8-12 years of experience developing high-performance ML systems
Experience shaping the technical vision for larger projects and providing guidance while contributing to core capabilities
Strong leadership and communication skills, and demonstrated experience in leading and mentoring teams
Hands-on work experience with GPU-based computing on large data sets
Extensive experience with deep learning frameworks (e.g., PyTorch)
Bachelor’s or Master’s Degree in Computer Science or a related field, graduate degree preferred

Job Responsibility

Lead the design, development, and deployment of machine learning and computer vision models that power real-time perception for autonomous agricultural robots
Own the full ML lifecycle—from dataset design and data collection through training, evaluation, model optimization, and deployment on embedded platforms
Collaborate cross-functionally with robotics engineers, software developers, and hardware teams to integrate perception systems into field-ready machines
Lead a team of CVML engineers, fostering technical growth, strong engineering practices, and a culture of experimentation and delivery
Define and execute the ML roadmap, balancing research exploration with production needs to meet performance, safety, and robustness targets in challenging environments
Prototype and validate new approaches quickly, using both real-world and synthetic data to improve detection, segmentation, and scene understanding under variable conditions (lighting, occlusion, dust, etc)
Continuously evaluate model performance in the field and refine approaches to maximize reliability and generalization across crop types, terrains, and climates

What we offer

bonus and benefit programs
inclusive workplace
programs including recruiting, mentorship, career development, and learning & development
reasonable accommodation for individuals with disabilities

Fulltime

Machine Learning Tech Lead

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

Location

Ukraine , Kyiv; Odesa

Salary:

7000.00 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 7,000 — paid in two installments: 50% upon start (USD 3,500) 50% upon completion of the trial period (USD 3,500)

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

ML Tech Lead

Provectus

Location:
Colombia , Medellín ▼
Bogotá
Cali
Barranquilla
Bucaramanga

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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Job Posted:December 11, 2025

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Job Posted:
December 11, 2025