On-site
Full Time
Build and optimize production-grade models, ensuring seamless integration and continuous improvement.
Develop scalable pipelines for data ingestion, feature engineering, and model training.
Collaborate with product owners and stakeholders to translate business challenges into technical solutions that drive strategic impact.
Champion best practices in experimentation, reproducibility, and model evaluation.
Stay ahead of emerging AI trends, integrating innovations like Generative AI into real-world applications.
Communicate complex concepts clearly to non-technical audiences, enabling informed decisions.
Proven track record of delivering production-ready AI solutions with measurable business impact.
Hands-on experience with Generative AI is a strong plus.
Proficiency in Python, SQL, and frameworks like LangChain, TensorFlow, PyTorch, Scikit-learn.
Familiarity with cloud ML platforms (Azure ML, Google Cloud AI) and tools like Databricks, MLflow.
Solid understanding of CI/CD for ML, model versioning, monitoring, and automation pipelines.
Ability to influence stakeholders, communicate technical insights effectively, and work cross-functionally.
A curious learner who thrives in ambiguity, embraces challenges, and continuously seeks improvement.
Strong business acumen and problem-solving skills with a bias for action.
If this role excites you, we'd love to hear from you! Apply now to start the conversation and learn more about where your career can go with us.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.
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