Junior Machine Learning Engineer

Launch your ML career where your curiosity ships to production from day one. You will work alongside senior engineers on real-world ML problems, building features, running experiments, and shipping models to production while being mentored every step of the way. This is a hands-on role where you will be contributing to models that real users interact with immediately.

• Assist in building and iterating on ML models under guidance.
• Write clean, well-tested Python code for data preprocessing, feature engineering, and model evaluation.
• Explore datasets through Exploratory Data Analysis (EDA) to surface insights and data quality issues.
• Run A/B and offline experiments, documenting and presenting findings.
• Maintain and improve existing ML pipelines, including fixing bugs and optimizing performance.
• Collaborate with data engineers to access, clean, and transform training data.
• Participate actively in code reviews and sprint ceremonies.

Key Focus: Learn, execute, and grow under mentorship.

Required Skills:

• 0–5 years of professional or project-based experience in ML/data science.
• Proficiency in Python, including Num Py, Pandas, and scikit-learn, plus familiarity with a deep learning framework (PyTorch or Tensor Flow).
• Solid grounding in ML fundamentals, including regression, classification, and evaluation metrics.
• Familiarity with SQL for querying databases and experience using Jupyter Notebooks for analysis.
• Working knowledge of Git and collaborative development workflows.

Valuable Experience (Nice to Have):

• Internship, capstone, or Kaggle competition experience.
• Exposure to cloud platforms (AWS, GCP, or Azure).
• Familiarity with experiment tracking tools (MLflow or Weights & Biases).

Sierra Corp AI Staffing is a specialized engineering recruitment firm dedicated to solving the talent gap for high-growth startups by placing elite AI and Machine Learning engineering talent. Unlike generalist agencies, our focus is laser-sharp, exclusively covering roles at the intersection of AI and infrastructure, including ML, Data Science, and MLOps Engineers. Our technical depth is a key differentiator, as our recruiters are former engineers who thoroughly pre-vet every candidate, assessing technical depth and coding ability before submission.

We prioritize speed and precision, delivering a curated slate of qualified candidates within an average of 5–7 business days, supported by proprietary AI-powered sourcing tools. Whether you need full-time permanent hires or flexible part-time contractors, Sierra Corp is built for long-term partnership and mutual success.