What are the responsibilities and job description for the Senior ML Engineer position at KPG99 INC?
Senior Machine Learning Engineer (Sr. ML Engineer)
Location: Hybrid – Las Vegas, Nevada
Duration: 6 Months (Contract-to-Hire)
Work Authorization: USC / GC / GC-EAD
About the Role
We are seeking a Senior Machine Learning Engineer to join a high-impact team working on diverse and evolving use cases across forecasting, optimization, and emerging generative AI applications. This role requires a hands-on engineer who thrives in ambiguous environments, can independently solve open-ended problems, and effectively communicate solutions to both technical and business stakeholders.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field (Master’s preferred)
- 5 years of hands-on experience in Machine Learning Engineering
- Strong programming skills in Python (mandatory) and SQL
- Experience with ML frameworks: TensorFlow, PyTorch, or scikit-learn
- Hands-on experience with GCP or Databricks (Databricks required if from AWS/Azure background)
- Strong experience in MLOps, including CI/CD, Git, and automated deployments
- Experience with distributed systems (Spark, Delta Lake, Kubernetes)
- Familiarity with MLflow, feature stores, and model registries
- Experience in model monitoring, drift detection, and retraining pipelines
- Strong foundation in statistical analysis, forecasting, and optimization techniques
- Experience working with modern ML approaches such as embeddings, vector databases, and GenAI
- Ability to work in ambiguous, fast-paced environments with minimal guidance
Preferred Skills
- Experience with time-series forecasting and demand prediction
- Exposure to recommendation systems and optimization algorithms
- Experience in regulated environments with ML governance practices
- Familiarity with A/B testing and experimentation frameworks
- Exposure to Generative AI and retrieval-augmented systems