Senior machine learning developer - web .net

1886558645

COP $10 a $12,5 millones

Colombia Toda Colombia

Publicado 29 Ago 2025

Sistemas y Tecnología

Vence 28 Sep 2025

SCI Fuel Management Solutions
Industria de la empresa:
Tecnología

Descripción general

Responsibilities about the project

Define, document, and communicate technical requirements for automation and ML-driven solutions, ensuring the use of best practices across projects.

Model design, implementation & deployment
Design, build, and deploy machine learning models (predictive analytics, anomaly detection, intelligent workflows, etc.) to optimize business processes and workflows.

Testing, monitoring & improvement
Run experiments, test models, and refine them to improve accuracy, scalability, and automation reliability. Train, retrain, and monitor ML systems in production to ensure consistent performance and adaptability.

Data analysis & automation opportunities
Analyze large, complex datasets to identify automation opportunities, validate models, and support decision-making with statistical insights.

Automation pipelines & integration
Develop and maintain automation pipelines to reduce manual tasks and integrate ML models into enterprise applications, APIs, RPA platforms, and cloud services.

Collaboration & consulting
Collaborate with managers, process owners, data engineers, and software developers to translate business requirements into ML-driven solutions and ensure seamless integration into operations.

Frameworks & scalability
Extend and customize existing ML libraries and frameworks to support process automation needs. Optimize automation pipelines for performance, scalability, and sustainability.

Communication & knowledge sharing
Translate complex ML and automation concepts into clear explanations for non-technical stakeholders. Document automation flows, ML logic, and best practices to support reproducibility and continuous improvement.

Requisitos para postularse

Education & Background
Bachelor’s/Master’s in Computer Science, Data Science, Engineering, or related field (or equivalent experience). 2+ years of experience developing and deploying ML solutions, ideally in automation, operations, or business optimization. Strong foundations in ML, data mining, and visualization.

Programming & Technical Expertise
Proficiency in Python (pandas, scikit-learn, TensorFlow, PyTorch). Knowledge of predictive modeling, classification, clustering, optimization, and anomaly detection. SQL back-end experience (Azure SQL preferred) with large datasets. Familiarity with APIs, workflow automation, and RPA integration. Experience with other languages (R, Java, Julia, Scala, C++, JavaScript, Prolog, Haskell, Lisp) is a plus.

Automation & Deployment
Experience with automation tools (UiPath, Power Automate, Blue Prism). Proven ability in forecasting, anomaly detection, document processing, and workflow optimization. Knowledge of cloud AI/ML services (Azure, AWS, GCP). Hands-on with CI/CD pipelines, Git/TFS/SVN, and ML workflow deployment.

Collaboration & Communication
Strong communicator with ability to explain ML/automation concepts to technical and business teams. Experience in Agile/Scrum environments with tools like Azure DevOps.

Bonus Skills
RPA tools, time-series forecasting, NLP, Docker/Kubernetes, cloud/automation certifications (Azure, AWS, UiPath). English: Upper-intermediate to advanced.

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1886558645

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