๐ง Machine Learning Engineer โ Remote from LATAM ๐
Lima, PE / Mexico City, MX / Buenos Aires, AR / Bogotรก, CO-%LABEL POSITION TYPE REMOTE WITHIN%
Tekton Labs
Tekton Develops Technology and Software Solutions Around the World. We are in Peru, United States and Mexico. Software Development, Product Discovery, Technology.Join Tekton Labs: Shaping the Future of AI & MLOps
At Tekton Labs, we lead AI-driven innovation, automation, and high-impact technology projects. As a Machine Learning Engineer, you will bridge the gap between ML model development and production deployment, ensuring scalable and efficient AI solutions. If you're passionate about optimizing, deploying, and automating AI models, this is your opportunity to drive real-world impact!
๐ Key Responsibilities
๐ค ML Model Development & Optimization
- โ Develop AI models for document analysis, NLP, and LLM-based applications.
- โ Train, test, and fine-tune models using TensorFlow, PyTorch, Hugging Face.
- โ Implement feature engineering and vector databases for efficient text retrieval.
๐ MLOps & Deployment
- โ Automate the entire ML lifecycle (training, validation, deployment) using MLflow, GitHub Actions, Kubernetes.
- โ Deploy AI models as serverless APIs using Azure Functions & Kubernetes (AKS).
- โ Implement model versioning, monitoring (Azure Monitor), and drift detection.
๐ Data Processing & Storage
- โ Optimize AI workloads with Spark, Databricks, and Delta Lake.
- โ Design scalable data ingestion pipelines using Azure Data Factory, Prefect, Apache Airflow.
- โ Ensure efficient querying & retrieval of large-scale datasets for AI applications.
๐ฏ Required Qualifications & Experience
โ Must-Have:
- ๐น 3+ years of experience in machine learning model development.
- ๐น Expertise in Python, SQL, and PySpark.
- ๐น Strong knowledge of TensorFlow, PyTorch, Hugging Face, OpenAI API.
- ๐น Experience with MLOps tools (MLflow, DVC, Kubernetes, Terraform, GitHub Actions).
- ๐น Hands-on experience with cloud AI services (Azure Cognitive Services, Azure Machine Learning).
- ๐น Proficiency in data processing frameworks (Pandas, Spark, Databricks, Azure Data Factory).
โจ Nice-to-Have:
- โญ Experience with Azure Monitor & Prometheus for model monitoring.
- โญ Understanding of serverless AI deployments.
- โญ Experience optimizing large-scale AI workloads.
๐ก Soft Skills
- โ Strong problem-solving & analytical thinking.
- โ Excellent collaboration & communication skills.
- โ Ability to work with cross-functional teams (Data Scientists, DevOps, Engineers, and Product Managers).
๐ Why Join Tekton Labs?
- ๐ Work on state-of-the-art AI & MLOps projects.
- ๐ก Be part of a team that values innovation & automation.
- ๐ Opportunities for career growth & leadership.
- ๐ Flexible remote, hybrid, or onsite work arrangements.
๐ฉ Ready to Join? Apply Now!
Submit your CV & portfolio (if applicable) and be part of AI-driven innovation! ๐
* Salary range is an estimate based on our AI, ML, Data Science Salary Index ๐ฐ
Tags: Airflow APIs Azure Databricks DevOps Engineering Feature engineering GitHub Kubernetes LLMs Machine Learning MLFlow ML models MLOps NLP OpenAI Pandas Pipelines PySpark Python PyTorch Spark SQL TensorFlow Terraform
Perks/benefits: Career development
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