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Smart IT Frame LLC Logo
AI Engineer/Data Engineer

Smart IT Frame LLC

 

Somerset, NJ, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Remote
Openings: 1
Category: AI Engineer
Tenure: No Preference/Any
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Description

About the Role

We are seeking a highly skilled AI Engineer with deep expertise in Python and Databricks to design, develop, and deploy scalable machine learning and AI solutions. The ideal candidate will have hands-on experience in building data pipelines, training models, and deploying them in production environments using modern data platforms.

Key Responsibilities

  • Design, develop, and deploy machine learning and AI models at scale
  • Build and optimize data pipelines using Databricks (Spark, Delta Lake)
  • Develop high-quality, reusable, and efficient Python code for data processing and ML workflows
  • Collaborate with data scientists, data engineers, and business stakeholders to translate business needs into AI solutions
  • Implement MLOps best practices including model versioning, monitoring, and CI/CD pipelines
  • Work with large-scale structured and unstructured datasets
  • Optimize model performance and ensure scalability in distributed environments
  • Integrate ML models into production systems and APIs

Stay updated with the latest advancements in AI/ML and big data technologies

Required Skills & Qualifications

  • Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PySpark)
  • Hands-on experience with Databricks platform
  • Solid understanding of Apache Spark and distributed computing
  • Experience with ML frameworks such as TensorFlow, PyTorch, or similar
  • Knowledge of SQL and data modeling concepts
  • Experience with Delta Lake, data lakes, and ETL processes
  • Familiarity with cloud platforms (Azure, AWS, or GCP)
  • Understanding of MLOps, model deployment, and monitoring
  • Strong problem-solving and analytical skills

Preferred Qualifications

  • Experience with LLMs, NLP, or Generative AI
  • Knowledge of MLflow and experiment tracking
  • Experience with REST APIs and microservices architecture
  • Exposure to containerization tools like Docker and orchestration tools like Kubernetes
  • Experience in real-time data processing and streaming (e.g., Kafka, Spark Streaming)

Education

Any Graduate

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