Senior AI Data Engineer - ML Pipelines & GenAI Expert

Enexus Global Inc.; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Enexus Global Inc. is seeking a senior data engineer with a strong ML/data engineering background to design and scale production ML pipelines in a fast-paced environment in New York. You will collaborate with data scientists and ML engineers to implement robust data processing, feature engineering, and model deployment.

Ideal candidates have 5-7 years of hands-on data engineering, deep Python expertise, and experience with vector databases, embeddings, and ML tooling across cloud platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
• 5-7 years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads.
• Expert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Strong experience with Databricks, Apache Spark, and distributed computing for ML workflows.
• Deep understanding of the machine learning lifecycle, including model training, deployment, and monitoring processes.
• Experience with feature engineering, data preprocessing techniques, and ML data pipelines.
• Knowledge of vector databases, embeddings, and similarity search for AI applications.
• Proficiency in SQL for structured and unstructured data management.
• Understanding of data governance, model governance, and AI ethics principles.
• Strong analytical and problem-solving capabilities with attention to data quality.
• Excellent collaboration skills for working with data scientists, ML engineers, and architects.

Skills

Python

ML frameworks

Databricks

Apache Spark

ML lifecycle

Feature engineering

Data pipelines

Vector databases

SQL

AI governance/ethics

Collaboration

Education

Bachelor's degree in CS/DS/ML

Master's degree in related field

Tools

LangChain

HuggingFace

Azure ML

AWS SageMaker

Google Vertex AI

Neo4j

Amazon Neptune

Job description

Enexus Global Inc. is seeking a senior data engineer with a strong ML/data engineering background to design and scale production ML pipelines in a fast-paced environment in New York. You will collaborate with data scientists and ML engineers to implement robust data processing, feature engineering, and model deployment.

Ideal candidates have 5-7 years of hands-on data engineering, deep Python expertise, and experience with vector databases, embeddings, and ML tooling across cloud platforms.