remote
Machine Learning Engineer
Machine Learning Engineer
The Machine Learning Engineer will be responsible for developing, deploying, and maintaining advanced machine learning models, focusing on MLOps practices and AWS-based infrastructure. This role requires strong Python skills, extensive experience with ML libraries, and a deep understanding of the entire model lifecycle.
About the role
About the Role
Data Capital Incorporation is seeking a highly experienced Machine Learning Engineer to join our team. This role focuses on developing, deploying, and maintaining advanced machine learning models, with a strong emphasis on MLOps practices and AWS-based infrastructure. The ideal candidate will have a deep understanding of machine learning algorithms, excellent programming skills, and a proven track record of productionizing AI solutions.
Required Skills
- 8+ years of experience in ML Engineering or Applied Machine Learning.
- Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
- Proficient with Databricks, MLflow, and PySpark.
- Solid understanding of model lifecycle and MLOps practices.
- Experience with AWS-based data infrastructure and related DevOps practices.
- Demonstrated ability to productionize models and integrate with business systems.
- Strong understanding of mathematics and statistics relevant to machine learning and AI.
- Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.).
- Solid background in software engineering principles and best practices.
- Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.).
- Practical experience with LLMs, RAGs, and AI agent architectures.
- Proficiency with the Databricks platform for data engineering and ML pipelines.
- Advanced programming skills in Python.
- Excellent communication and teamwork abilities.
Preferred Skills
- Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions.
- Business acumen and ability to align AI solutions with organizational goals.
- Optimize compute and storage resources for performance and cost-efficiency.