What are the responsibilities and job description for the Senior AI/ML Engineer position at KPI Partners?
About KPI Partners
KPI Partners is a 5 times Gartner recognized data, analytics, and AI consulting company. We are leaders in data engineering on Azure, AWS, Google, Snowflake and Databricks. Founded in 2006, KPI has over 400 consultants and has successfully delivered over 1,000 projects to our clients. We are looking for skilled AI/ML Engineers who want to work with the best team.
Title: Senior AI/ML Engineer
Location: Seattle, WA
Job Type: Full-time/Hourly – W2
Key Skills: AI/ML, Python, and SQL
Nice to Have: AWS and Snowflake
About the Role:
Senior AI/ML Engineer with at least 10 years of experience to design, build, and deploy scalable machine learning and AI solutions that drive business impact. This role partners closely with data engineering, analytics, and product teams to operationalize advanced models and deliver intelligent, production-grade systems
Key Responsibilities:
- Strong expertise in Python and core ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Proven experience building and deploying ML models in production (MLOps, CI/CD, monitoring)
- Solid understanding of data engineering concepts (ETL, feature engineering, large-scale data processing)
- Experience with Generative AI / LLMs (e.g., RAG, fine-tuning, prompt engineering)
- Experience with cloud platforms (Azure, AWS, or GCP) and distributed computing (e.g., Spark)
- AWS and Snowflake strongly preferred
- Ability to translate business problems into ML solutions and communicate results to stakeholders
Must-Have Skills & Qualifications:
- Familiarity with tools like MLflow or Kubeflow
- Experience working on AWS and Snowflake strongly preferred.
- Knowledge of data governance, privacy, and responsible AI practices
- Background in NLP, computer vision, or recommendation systems
- Experience mentoring junior engineers and leading ML initiatives