We are seeking a highly skilled AI Engineer with proven experience in developing, deploying, and optimizing AI models using the MosaicAI Databricks platform. The ideal candidate will have a strong background in machine learning, distributed data processing, and will be a champion of Databricks platform.
Responsibilities
- Design, build, and deploy large-scale AI/ML models using the MosaicAI Databricks environment.
- Leverage Databricks data engineering workflows for feature engineering, model training, and evaluation.
- Optimize training pipelines for efficiency, scalability, and accuracy.
- Integrate AI models into production systems using APIs and microservices.
- Collaborate with data scientists, data engineers, and MLOps teams to ensure seamless AI lifecycle management.
- Implement robust testing, monitoring, and retraining protocols for deployed models.
- Ensure adherence to compliance, security, and performance standards.
- Stay updated on advancements in AI frameworks, distributed computing, and Databricks platform updates.
Required Skills and Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- Cerified Databricks Certified Generative AI Engineer
- Proven experience developing AI solutions using MosaicAI on Databricks.
- Strong knowledge of Python, PySpark, MLflow, and Spark.
- Strong understanding and knowlege of Databricks platform features such as Unity Catalog, DLT, MosaicAI, Data Assets Bundles, etc.
- Experience with Transformer-based models, generative AI, and Databricks pipelines.
- Proficiency in integrating AI models with cloud-native architectures (AWS, Azure, or GCP).
- Solid understanding of MLOps practices, Data Assets bundles (CI/CD), and containerization (Docker, Kubernetes) on Databricks Platform.
- Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
- Strong problem-solving, analytical thinking, and communication skills.
