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.
Requirements
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 NumPy, Pandas, and scikit-learn, plus familiarity with a deep learning framework (PyTorch or TensorFlow).
- 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).
About the Company
SierraCorp 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, SierraCorp is built for long-term partnership and mutual success.
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