Artificial Intelligence Engineer/Machine Learning

7 days ago

Hyderabad, Telangana, India Nexturn Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description: Senior Engineer AI/ML (Databricks Certified)

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.

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