Empleos actuales relacionados con Senior ML Engineer - Perímetro Urbano Bucaramanga - Provectus
-
Senior ML Engineer
hace 5 días
Colombia / Medellín, Antioquia / Bogotá, Capital District / Cali, Valle del Cauca / Barranquilla / Bucaramanga Metropolitan Area / Bucaramanga, Santander Provectus A tiempo completoAs a Senior ML Engineer at Provectus, you'll be responsible for designing, developing, and deploying production-grade machine learning solutions for our clients. You will work on complex ML problems, mentor junior engineers, and contribute to building ML accelerators and best practices. Core Responsibilities:1. Technical Delivery (60%) - Design and...
-
Senior Am Engineer L3
hace 1 semana
Bucaramanga, Colombia Endava A tiempo completo**Responsibilities**: - As a.NET AM Engineer in a very rich and dynamic environment, you will work closely with the Scrum and Support teams. - You will be in charge of the functional and technical support of the production environments. - L3 activities including configuration, bug fixing, and code enhancements; - Troubleshooting and providing solutions for...
-
Senior Infrastructure Engineer
hace 4 días
Bucaramanga, Colombia Endava A tiempo completo**Responsibilities**: We are on a journey to build a set of new generation database tools to build, manage and operate various databases in AWS with an “infrastructure as code” mindset and migrating databases from our On-Prem private cloud to AWS. We use various database RDBMS and NoSQL technologies. We support multiple databases platforms - running on...
-
Logistics Coordinators
hace 2 semanas
Perímetro Urbano Barranquilla, Colombia Lean Solutions Group A tiempo completoJOB SUMMARY: Provide support in the development of the different operational activities of the organization's clients regarding any process in its logistics chain. This support could be through back office activities and logistics related calls to monitor the status of the logistics process. Responsibilities Its functions are the following, however, they are...
-
HubSpot Administrator ID45674
hace 1 semana
Perímetro Urbano Barranquilla, Colombia AgileEngine A tiempo completoAgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you’re looking for a place to grow, make an...
-
Senior Backend Engineer — Python
hace 6 días
Perímetro Urbano Barranquilla, Colombia Meico S.A A tiempo completoUna empresa de tecnología busca un Desarrollador Backend Python - Fast API en Barranquilla. Los candidatos ideales deben ser profesionales en Ingeniería de Sistemas con al menos 3 años de experiencia gestionando y desarrollando. Se valorará el conocimiento de Ruby On Rails, HTML5 y CSS, así como el manejo de metodologías Scrum. Ofrecemos una...
-
Senior QA Engineer Join The Iam Team in a
hace 1 semana
Bucaramanga, Colombia Prometeo Talent A tiempo completo**About Us**: **_ Prometeo Talent_** is a #1 rated Recruitment Agency spread throughout America and Europe. We excel in connecting companies with exceptional tech and engineering professionals. Our HR and recruitment professionals are always ready to help companies and people find their right match. We have partnered with a **US-based Product Company**...
-
Operations Manager
hace 1 semana
Perímetro Urbano Barranquilla, Colombia UnifyCX A tiempo completoUnifyCX is growing and we are looking for an Operations Manager to join our motivated and ambitious team in Barranquilla, Colombia. Come be one of the pioneers at our newest location! As an Operations Manager you will be responsible for overseeing and managing day-to-day operations to ensure efficient and effective delivery of services. This role involves...
-
Logistics Coordinator
hace 1 semana
Perímetro Urbano Barranquilla, Colombia Lean Solutions Group A tiempo completoInternational Logistics Coordinator This position is available in Barranquilla, Cartagena, Bogotá, Medellín, and Bucaramanga. About Lean Solutions Group: Hey there, future heroes! If you're looking for an epic workplace, buckle up and get ready to work in a company that provides benefits aligned with your search for professional success. Picture this:...
-
TF01-ESG-Field Prof-Reservoir Eval, Assc
hace 9 horas
Perímetro Urbano Santa Marta, Colombia - A tiempo completoJob Overview We are looking for the right people – people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and...
Senior ML Engineer
hace 59 minutos
As a Senior ML Engineer at Provectus, you'll be responsible for designing, developing, and deploying production-grade machine learning solutions for our clients. You will work on complex ML problems, mentor junior engineers, and contribute to building ML accelerators and best practices. Core Responsibilities 1. Technical Delivery (60%) Design and implement end-to-end ML solutions from experimentation to production Build scalable ML pipelines and infrastructure Optimize model performance, efficiency, and reliability Write clean, maintainable, production-quality code Conduct rigorous experimentation and model evaluation Troubleshoot and resolve complex technical challenges 2. Collaboration and Contribution (25%) Mentor junior and mid-level ML engineers Conduct code reviews and provide constructive feedback Share knowledge through documentation, presentations, and workshops Collaborate with cross-functional teams (DevOps, Data Engineering, SAs) Contribute to internal ML practice development 3. Innovation and Growth (15%) Stay current with ML research and emerging technologies Propose improvements to existing solutions and processes Contribute to the development of reusable ML accelerators Participate in technical discussions and architectural decisions Requirements 1. Machine Learning Core - ML Fundamentals: supervised, unsupervised, and reinforcement learning - Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation - ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks - Deep Learning: CNNs, RNNs, Transformers 2. LLMs and Generative AI - LLM Applications: Experience building production LLM-based applications - Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies - RAG Systems: Experience building retrieval-augmented generation architectures - Vector Databases: Familiarity with embedding models and vector search - LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs 3. Data and Programming - Python: Advanced proficiency in Python for ML applications - Data Manipulation: Expert with pandas, numpy, and data processing libraries - SQL: Ability to work with structured data and databases - Data Pipelines: Experience building ETL/ELT pipelines - Big Data: Experience with Spark or similar distributed computing frameworks 4. MLOps and Production - Model Deployment: Experience deploying ML models to production environments - Containerization: Proficiency with Docker and container orchestration - CI/CD: Understanding of continuous integration and deployment for ML - Monitoring: Experience with model monitoring and observability - Experiment Tracking: Familiarity with MLflow, Weights and Biases, or similar tools 5. Cloud and Infrastructure - AWS Services: Strong experience with AWS ML services (SageMaker, Lambda, etc.) -GCP Expertise: Advanced knowledge of GCP ML and data services - Cloud Architecture: Understanding of cloud-native ML architectures - Infrastructure as Code: Experience with Terraform, CloudFormation, or similar Will be a plus Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda) Practical experience with deep learning models Experience with taxonomies or ontologies Practical experience with machine learning pipelines to orchestrate complicated workflows Practical experience with Spark/Dask, Great Expectations We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr
