Role overview
Job description
About the role
We are hiring an ML Engineer to help build and deploy practical AI solutions. You will work with structured and unstructured data, train and evaluate models, and help integrate AI into real applications.
What we're looking for
- Support development of AI models for classification, recommendation, forecasting, or NLP tasks
- Prepare datasets, perform feature engineering, and run experiments
- Evaluate model performance and help improve accuracy, latency, and robustness
- Assist with deploying models into production environments (APIs, batch jobs, pipelines)
- Collaborate with software engineers, data engineers, and product teams
What you are looking for
- Bachelor’s or Master’s degree in CS, Data Science, AI/ML, Statistics, or related field
- Strong Python foundation
- Familiarity with ML basics (supervised/unsupervised learning, evaluation metrics)
- Experience with common libraries (NumPy, pandas, scikit-learn)
- Clear communication and curiosity
- Exposure to deep learning (PyTorch or TensorFlow)
- Understanding of model deployment (FastAPI/Flask, Docker)
- Cloud fundamentals (AWS/GCP/Azure) and basic MLOps concepts
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Seniority level
Entry level
Employment type
Full-time
Job function
Consulting, Art/Creative, and Information Technology
Industries
Staffing and Recruiting, IT Services and IT Consulting, and Construction
Tags & focus areas
Used for matching and alerts on DevFound Machine Learning Ai