CrawlJobs Logo

Middle AI/ML Engineer

provectus.com Logo

Provectus

Location Icon

Location:
Colombia , Medellín ▼

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

As a Middle ML Engineer at Provectus, you will design, build, and deploy production ML solutions for our clients — working independently on most tasks while growing toward senior technical ownership. You'll use AI coding tools daily, mentor junior engineers, and contribute to Provectus's internal AI toolkit.

Job Responsibility:

  • Build & Ship ML (55%): Design and deliver ML pipelines from experimentation to production
  • Build and optimize models — supervised, unsupervised, and generative AI
  • Write clean, tested, modular Python code
  • Deploy and monitor models
  • track performance and prevent drift
  • Contribute to LLM applications: RAG systems and agent workflows
  • Use AI coding tools on every task to move faster and write better code
  • Agentic & AI-Assisted Engineering (20%): Use Claude Code or similar AI tools to deliver client projects
  • Build with agent frameworks (Bedrock AgentCore, Strands, CrewAI, or similar)
  • Integrate or build MCP servers for internal and client use
  • Contribute features, bug fixes, or docs to the Provectus AI toolkit
  • Collaborate & Mentor (15%): Mentor junior engineers and give actionable code review feedback
  • Work closely with DevOps, Data Engineering, and Solutions Architects
  • Share knowledge through docs, presentations, or internal workshops
  • Learn & Innovate (10%): Stay current with ML research, GenAI, and agentic frameworks
  • Propose process improvements and reusable ML accelerators
  • Participate in architectural design and trade-off discussions

Requirements:

  • Solid grasp of supervised/unsupervised ML: algorithms, evaluation, trade-offs
  • Deep learning hands-on experience: CNNs, RNNs, Transformers — training and fine-tuning
  • Depth in at least one domain: NLP, Computer Vision, Recommendation, or Time Series
  • Experience building LLM apps with OpenAI, Anthropic, or Hugging Face APIs
  • Hands-on RAG design: chunking, embedding, retrieval, generation
  • Familiarity with vector databases (OpenSearch, Pinecone, Chroma, FAISS)
  • Understanding of prompt engineering and LLM evaluation
  • Proficient with AI coding tools (Claude Code, Cursor, Copilot, etc.) — beyond autocomplete
  • Experience building tool-using, stateful agents with an orchestration framework
  • Understanding of Model Context Protocol (MCP) — consume or build MCP servers
  • Can write technical specs for AI execution and review/correct AI-generated output
  • Aware of agent monitoring, evaluation, and cost optimization in production
  • Solid AWS: SageMaker, Lambda, S3, ECR, ECS, API Gateway
  • Familiarity with Amazon Bedrock (model invocation, Knowledge Bases, Agents)
  • Basic awareness of Infrastructure as Code (Terraform or CloudFormation)
  • Production ML deployment experience
  • Experiment tracking with MLflow, W&B, or similar
  • CI/CD pipelines for ML
  • model monitoring and drift detection
  • Advanced Python (async/await, OOP, packaging)
  • strong pandas, NumPy, SQL
  • Docker for containerized ML workloads
  • 1–3 years of hands-on ML engineering experience
  • At least one ML model deployed to production (or near-production)
  • Team-based or client-facing project experience
  • Demonstrated use of AI-assisted development tools
  • Education: Bachelor's/Master's in CS, Data Science, Math, or equivalent practical experience
  • Strong problem-solver — breaks complexity into testable pieces
  • Clear communicator — written docs, PRs, and explanations to non-technical stakeholders
  • Fluent English (B2+)
  • Proactive — raises blockers early and comes with proposed solutions
  • Collaborative mentor who helps without creating dependency

Nice to have:

  • AWS certifications
  • Kubernetes experience
  • GraphRAG or custom MCP server experience
  • Open-source contributions or published work on agentic systems
What we offer:
  • Competitive salary based on competencies and market rates
  • Premium AI tooling: Claude Code, Cursor, and Provectus AI toolkit
  • Mentorship from Senior ML Engineers and Tech Leads
  • Clear growth path: Mid-Level → Senior ML Engineer → Tech Lead
  • Learning budget for courses, certifications, and conferences
  • Remote-first culture
  • work on projects across LATAM, North America, and Europe
  • Health benefits

Additional Information:

Job Posted:
April 11, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Provectus - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for Middle AI/ML Engineer

Middle MLOps Engineer

Vention is a global engineering partner to tech leaders and fast-growing startup...
Location
Location
Poland , Gdansk
Salary
Salary:
8000.00 PLN / Month
ventionteams.com Logo
Vention
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in cloud platform engineering, DevOps, MLOps, or a similar field
  • Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
  • Experience building ML infrastructure and familiarity with machine learning concepts
  • Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
  • Proficiency in Python programming and familiarity with LLM/MLOps best practices
  • Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
  • A passion for collaboration, problem-solving, and fostering a culture of continuous improvement
Job Responsibility
Job Responsibility
  • Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
  • Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
  • Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
  • Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
  • Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
  • Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
  • Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies
What we offer
What we offer
  • EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
  • Licenses for AI tools: GitHub Copilot, Cursor, and others
  • Private medical care with LuxMed
  • Kafeteria MyBenefit credits for stores, restaurants, and cafés
  • Access to a Multisport membership to stay active
  • Glasses reimbursement program
  • Referral bonuses for bringing in new talent
  • Fulltime
Read More
Arrow Right

Middle MLOps Engineer

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at ...
Location
Location
Poland , Wroclaw
Salary
Salary:
8000.00 PLN / Month
ventionteams.com Logo
Vention
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in cloud platform engineering, DevOps, MLOps, or a similar field
  • Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
  • Experience building ML infrastructure and familiarity with machine learning concepts
  • Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
  • Proficiency in Python programming and familiarity with LLM/MLOps best practices
  • Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
  • A passion for collaboration, problem-solving, and fostering a culture of continuous improvement
Job Responsibility
Job Responsibility
  • Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
  • Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
  • Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
  • Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
  • Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
  • Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
  • Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies
What we offer
What we offer
  • EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
  • Licenses for AI tools: GitHub Copilot, Cursor, and others
  • Private medical care with LuxMed
  • Kafeteria MyBenefit credits for stores, restaurants, and cafés
  • Access to a Multisport membership to stay active
  • Glasses reimbursement program
  • Referral bonuses for bringing in new talent
  • Fulltime
Read More
Arrow Right

Middle MLOps Engineer

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at ...
Location
Location
Poland , Lodz
Salary
Salary:
8000.00 PLN / Month
ventionteams.com Logo
Vention
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in cloud platform engineering, DevOps, MLOps, or a similar field
  • Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
  • Experience building ML infrastructure and familiarity with machine learning concepts
  • Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
  • Proficiency in Python programming and familiarity with LLM/MLOps best practices
  • Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
  • A passion for collaboration, problem-solving, and fostering a culture of continuous improvement
Job Responsibility
Job Responsibility
  • Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
  • Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
  • Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
  • Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
  • Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
  • Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
  • Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies
What we offer
What we offer
  • EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
  • Licenses for AI tools: GitHub Copilot, Cursor, and others
  • Private medical care with LuxMed
  • Kafeteria MyBenefit credits for stores, restaurants, and cafés
  • Access to a Multisport membership to stay active
  • Glasses reimbursement program
  • Referral bonuses for bringing in new talent
  • Fulltime
Read More
Arrow Right

Middle MLOps Engineer

Join our award-winning DevOps practice, recognized as "Best DevOps Services" at ...
Location
Location
Poland , Warsaw
Salary
Salary:
8000.00 PLN / Month
ventionteams.com Logo
Vention
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in cloud platform engineering, DevOps, MLOps, or a similar field
  • Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
  • Experience building ML infrastructure and familiarity with machine learning concepts
  • Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
  • Proficiency in Python programming and familiarity with LLM/MLOps best practices
  • Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
  • A passion for collaboration, problem-solving, and fostering a culture of continuous improvement
Job Responsibility
Job Responsibility
  • Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
  • Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
  • Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
  • Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
  • Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
  • Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
  • Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies
What we offer
What we offer
  • EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
  • Licenses for AI tools: GitHub Copilot, Cursor, and others
  • Private medical care with LuxMed
  • Kafeteria MyBenefit credits for stores, restaurants, and cafés
  • Access to a Multisport membership to stay active
  • Glasses reimbursement program
  • Referral bonuses for bringing in new talent
  • Fulltime
Read More
Arrow Right

Middle MLOps Engineer

Vention is a global engineering partner to tech leaders and fast-growing startup...
Location
Location
Poland , Krakow
Salary
Salary:
8000.00 PLN / Month
ventionteams.com Logo
Vention
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in cloud platform engineering, DevOps, MLOps, or a similar field
  • Expertise in cloud platforms (e.g., Microsoft Azure), containerization technologies (Docker, Kubernetes), and CI/CD tools (ArgoCD, Azure DevOps, Helm)
  • Experience building ML infrastructure and familiarity with machine learning concepts
  • Ability to design scalable, secure, and efficient cloud systems, and familiarity with security and compliance standards in enterprise-grade cloud environments
  • Proficiency in Python programming and familiarity with LLM/MLOps best practices
  • Genuine drive to learn emerging paradigms and best practices in generative AI and agentic AI
  • A passion for collaboration, problem-solving, and fostering a culture of continuous improvement
Job Responsibility
Job Responsibility
  • Collaborate with multiple product teams to implement Security, Data Protection and MLOps strategies that fuel business growth and ensure High Availability for AI/ML workloads
  • Implement and manage Continuous Deployment (CD) pipelines using tools such as ArgoCD and Helm
  • Ensure compliance with security standards and architect and deploy scalable enterprise-grade cloud infrastructure for ML workloads using industry standard tools like Kubernetes
  • Develop and maintain Infrastructure as Code (IaC) using tools like Terraform
  • Implement robust model performance, cost, drift monitoring, and logging practices with tools like Prometheus, Langfuse, etc.
  • Build and automate end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, deployment, and monitoring
  • Champion MLOps best practices across the organization, mentoring and training stakeholders on tools and methodologies
What we offer
What we offer
  • EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
  • Licenses for AI tools: GitHub Copilot, Cursor, and others
  • Private medical care with LuxMed
  • Kafeteria MyBenefit credits for stores, restaurants, and cafés
  • Access to a Multisport membership to stay active
  • Glasses reimbursement program
  • Referral bonuses for bringing in new talent
  • Fulltime
Read More
Arrow Right

Middle Business Analyst

We are seeking a proactive Business Analyst with 3+ years of experience, eager t...
Location
Location
Salary
Salary:
Not provided
inoxoft.com Logo
Inoxoft
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Solid understanding of business analysis practices, SDLC, and Agile delivery
  • Hands-on experience working with the requirements development and management throughout the project lifecycle
  • Experience creating and maintaining requirements documentation (user stories, use cases, process diagrams, etc.)
  • Ability to clearly communicate business and user needs, explain trade-offs, and support informed decision-making
  • Comfort working with AI- and data-driven requirements, including defining inputs/outputs, understanding data dependencies, limitations, and expected behaviour of AI-powered features
  • Strong analytical thinking, attention to detail, and structured problem-solving approach
  • Confident use of documentation and collaboration tools (Jira, Confluence, FigJam, Google Docs, etc.)
Job Responsibility
Job Responsibility
  • Work closely with business stakeholders to clarify needs, align expectations, and navigate evolving requirements throughout the project lifecycle
  • Analyse inputs from multiple sources, resolve ambiguities or conflicts, and keep requirements focused on real business and user needs
  • Own requirements end-to-end from initial elicitation and documentation to validation, change handling, and ongoing updates
  • Elicit, structure, and document business, user, and solution requirements in a clear and practical way
  • Translate requirements into consistent and easy-to-understand artefacts used by the client, and design, development, and QA teams
  • Ensure requirements remain complete, consistent, and aligned across documentation, backlog, and delivered functionality
  • Collaborate closely with the Project Manager, UX/UI Designers, Developers, QAs, and AI/ML engineers to ensure a shared understanding of scope and expectations
  • Lead backlog creation, refinement, prioritisation, and ongoing maintenance in close collaboration with the PM and delivery team
  • Drive change management by analysing the impact of requirement changes and coordinating scope and backlog updates
What we offer
What we offer
  • Flexible working hours
  • 25 paid days off and 10 sick/medical leaves
  • Additional paid days off for personal events like marriage and childbirth
  • Medical insurance
  • Discount program
  • Self-development budget per year
  • Referral bonuses
  • Corporate events and gifts
  • Learning events and mentorship opportunities
  • Speaking Clubs
Read More
Arrow Right

Application Development with Java and Oracle - Vice President

We are seeking a strong and experienced Vice President to lead our Back Office E...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 13+ years of technology experience, with a significant track record in wealth management back-office technology at leading financial institutions
  • Deep, hands-on experience managing large-scale, high-throughput OLTP databases (e.g., Oracle, PostgreSQL, SQL Server) that support financial ledgers
  • Strong experience with analytical data platforms and data warehousing (e.g., Snowflake, BigQuery, Redshift) for reporting and analytics on financial data
  • Proven track record of designing and operating mission-critical data services and APIs
  • Strong data modeling skills for financial transactional systems and ledgers
  • Experience with or exposure to the application of data analytics or AI/ML for process automation, reconciliation, or anomaly detection is a plus
  • Expertise with performance measurement and monitoring tools (e.g., AppDynamics, Splunk, Prometheus, Grafana)
  • Proven ability to lead, mentor, and manage a high-performing engineering team
  • A strong, demonstrable work ethic and a deep sense of ownership, with a history of seeing complex systems through from conception to long-term operational stability
  • The ability to maintain a holistic, end-to-end view of a complex back-office ecosystem, understanding the flow of data from trade execution to final settlement and reporting
Job Responsibility
Job Responsibility
  • Lead a team of skilled engineers responsible for the design, development, and 24/7 operation of the core back-office platforms, including systems for trade processing, settlement, intra-day book-keeping, and the official wealth books and records
  • Oversee the development and management of robust data services and APIs that provide accurate, timely position, balance, and transaction status information to front-office and middle-office systems
  • Leverage modern data techniques to enhance operational efficiency. Apply analytics and, where appropriate, AI/ML to improve processes like reconciliation, identify data anomalies, and generate insights from the vast datasets within the books and records
  • Take ultimate responsibility for the accuracy, integrity, auditability, and performance of the firm's official wealth books and records
  • Champion a culture of measurement. Define, monitor, and report on key performance indicators (KPIs) across the entire ecosystem, including batch processing times, data reconciliation breaks, and API latency
  • Serve as the subject matter expert for the entire back-office ecosystem, from trade capture and settlement systems to the general ledger, sub-ledger, and downstream reporting platforms
  • Partner with global architects and business leaders to define the technical roadmap for the back-office platforms, driving the modernization of legacy systems and improving intra-day processing capabilities
  • Fulltime
Read More
Arrow Right
New

Associate Lecturer in Multi Trades

The Associate Lecturer in Property Maintenance This role involves planning, prep...
Location
Location
United Kingdom , Portsmouth
Salary
Salary:
30248.30 - 44298.68 GBP / Year
jobs.360resourcing.co.uk Logo
360 Resourcing Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum level 2 qualification in any construction trade
  • At least 5 years’ experience in Construction industry or property maintenance
  • Teaching Qualification or willing to work towards
  • Ability to meet targets within set timescales
  • Ability to work well in teams but also to work independently, with the minimum of supervision
  • Computer literate
Job Responsibility
Job Responsibility
  • To teach on a range of programmes, providing high-quality learning opportunities that meet the needs of individual students/apprentices and groups in line with the College’s strategic priorities and objectives
  • To provide flexible assessment opportunities and closely plan, monitor, track and record student/apprentice retention, achievement, and success
  • To contribute to the development and delivery of high-quality, relevant curriculum and programmes
  • Actively contributing to the development of new programmes within the curriculum area
  • Producing annual schemes of work and/or training plans for all subjects/programmes to be taught
What we offer
What we offer
  • Annual Leave: 42 days total and closure for winter shutdown period in line with Hampshire County Council school holidays & statutory bank holidays
  • Pension: Generous Teachers' pension
  • Learning & Development: Programmes by The Community Adult Education Department
  • Staff Development: Access to the College staff development programmes and CPD
  • Onsite Discounts: City of Portsmouth College Hair Salon & 50% off at the City of Portsmouth College Sports Centre
  • Online Discounts: Unidays, Student Beans, and Totum with a City of Portsmouth College email address
  • Parking: Free car parking across all campus sites (apart from Arundel)
  • Blue Light Card: providing several discounts for clothing, electrical goods, food and days out, even concert tickets!
  • Fulltime
Read More
Arrow Right
Remote jobs Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog Salaries About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy