ML Tech Lead (GenAI, AWS) 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

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

New

ML Tech Lead (GenAI)

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

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

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Data Science Manager

We’re looking for a Data Science Manager (d/f/m) to lead our central Data Scienc...

Location

Germany , Berlin

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

MSc or Ph.D. in a quantitative field (statistics, computer science, economics, or related)
5+ years of professional experience in Data Science, with hands-on technical roles and 1-2 years in a leadership or mentorship capacity
Proven track record delivering ML/GenAI solutions into production, preferably in marketplaces or tech industries
Advanced experience with Python and ML frameworks
Practical experience with GenAI technologies: Large Language Models (e.g., Gemini, GPT, PaLM, Llama, and open-source alternatives)
Amazon Bedrock for foundation model deployment
Integration with GCP Vertex AI and BigQuery, AWS Sagemaker and Bedrock
Strong background in traditional Machine Learning, NLP techniques, and MLOps best practices for production deployment in cloud environments
Proficient with SQL and NoSQL databases, with emphasis on BigQuery for scalable analytics
Experience managing and coaching technical teams

Job Responsibility

Team Leadership: Build, mentor, and lead a multidisciplinary data science team, encouraging upskilling and experimentation in GenAI, cloud computing (GCP, AWS), and modern Data Science tools
Strategic Direction: Collaborate with product and engineering leadership to define the data science strategy, with a focus on integrating GenAI technologies (e.g., Gemini, AWS Bedrock, LLMs) and cloud-native solutions into our business
Project Oversight: Oversee pipelines, prioritize GenAI and cloud-based initiatives, and ensure effective resource allocation for AI-driven innovation on GCP and AWS infrastructure
Stakeholder Management: Educate and guide stakeholders on innovative solutions using GCP, AWS, Gemini, and Bedrock
Performance Management: Foster development through coaching in cloud platforms and state-of-the-art Generative AI
Technical Leadership: Lead by example in developing and deploying advanced machine learning and GenAI models (e.g., LLMs, Gemini), using cloud-native tools (GCP Vertex AI, AWS Sagemaker/Bedrock) and scalable databases like BigQuery
GenAI Implementation: Drive hands-on prototyping and productionization of GenAI use cases, leveraging technologies such as Gemini (GCP) and Bedrock (AWS) for tasks including personalized recommendations, content generation, and automation workflows
Project Delivery: Own end-to-end delivery of data science and GenAI projects using tools like BigQuery, Vertex AI, Gemini, and cloud-based ML pipelines
Innovation: Stay on top of developments in GenAI, transformers, and cloud offerings, integrating technologies like BigQuery for big data analysis and Gemini/Bedrock for GenAI applications

What we offer

Recharge with 28 days of paid time off
Stay mobile with a €50 monthly transportation/mobility allowance
Keep growing with a development budget and access to coaching
Family first - enjoy up to 12 (non-birth parent) or 20 (birth parent) weeks of fully paid parental leave
Learn anytime, anywhere with our online and offline library
Get rewarded with an attractive base salary and participation in our annual incentive plans
Work from anywhere - up to 20 days per year from wherever you feel most productive
Prioritize your well-being with a 24/7 Employee Assistance Programme for you and your immediate family

Fulltime

Data Science Manager

We’re looking for a Data Science Manager (d/f/m) to lead our central Data Scienc...

Location

Germany , Berlin

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

MSc or Ph.D. in a quantitative field (statistics, computer science, economics, or related)
5+ years of professional experience in Data Science, with hands-on technical roles and 1-2 years in a leadership or mentorship capacity
Proven track record delivering ML/GenAI solutions into production, preferably in marketplaces or tech industries
Advanced experience with Python and ML frameworks
Practical experience with GenAI technologies: Large Language Models (e.g., Gemini, GPT, PaLM, Llama, and open-source alternatives)
Amazon Bedrock for foundation model deployment
Integration with GCP Vertex AI and BigQuery, AWS Sagemaker and Bedrock
Strong background in traditional Machine Learning, NLP techniques, and MLOps best practices for production deployment in cloud environments
Proficient with SQL and NoSQL databases, with emphasis on BigQuery for scalable analytics
Experience managing and coaching technical teams

Job Responsibility

Team Leadership: Build, mentor, and lead a multidisciplinary data science team, encouraging upskilling and experimentation in GenAI, cloud computing (GCP, AWS), and modern Data Science tools
Strategic Direction: Collaborate with product and engineering leadership to define the data science strategy, with a focus on integrating GenAI technologies (e.g., Gemini, AWS Bedrock, LLMs) and cloud-native solutions into our business
Project Oversight: Oversee pipelines, prioritize GenAI and cloud-based initiatives, and ensure effective resource allocation for AI-driven innovation on GCP and AWS infrastructure
Stakeholder Management: Educate and guide stakeholders on innovative solutions using GCP, AWS, Gemini, and Bedrock
Performance Management: Foster development through coaching in cloud platforms and state-of-the-art Generative AI
Technical Leadership: Lead by example in developing and deploying advanced machine learning and GenAI models (e.g., LLMs, Gemini), using cloud-native tools (GCP Vertex AI, AWS Sagemaker/Bedrock) and scalable databases like BigQuery
GenAI Implementation: Drive hands-on prototyping and productionization of GenAI use cases, leveraging technologies such as Gemini (GCP) and Bedrock (AWS) for tasks including personalized recommendations, content generation, and automation workflows
Project Delivery: Own end-to-end delivery of data science and GenAI projects using tools like BigQuery, Vertex AI, Gemini, and cloud-based ML pipelines
Innovation: Stay on top of developments in GenAI, transformers, and cloud offerings, integrating technologies like BigQuery for big data analysis and Gemini/Bedrock for GenAI applications

What we offer

Recharge with 28 days of paid time off
Stay mobile with a €50 monthly transportation/mobility allowance
Keep growing with a development budget and access to coaching
Family first - enjoy up to 12 (non-birth parent) or 20 (birth parent) weeks of fully paid parental leave
Learn anytime, anywhere with our online and offline library
Get rewarded with an attractive base salary and participation in our annual incentive plans
Work from anywhere - up to 20 days per year from wherever you feel most productive
Prioritize your well-being with a 24/7 Employee Assistance Programme for you and your immediate family

Fulltime

New

Machine Learning 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

What we offer

Long-term B2B collaboration
Fully remote setup
Comprehensive private medical insurance or budget for your medical needs
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

ML Tech Lead (GenAI, AWS)

Provectus

Location:
Colombia , Medellín ▼
Bogotá
Cali
Barranquilla
Bucaramanga

Category:
IT - Software Development

Contract Type:
B2B

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 13, 2026

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March 13, 2026