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Senior AI/ML & Data Engineer

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Job Title: Senior AI/ML & Data Engineer

Experience Required: 6+ Years
Employment Type: Full-Time
Location: NY,NJ,TX

 

We are seeking a highly motivated and experienced Senior AI/ML & Data Engineer to join our technology team. 

This role combines advanced Machine Learning expertise with strong data engineering capabilities. The ideal candidate will design scalable data architectures, build robust data pipelines, and develop production-grade AI/ML solutions to solve complex business problems.

 

Key Responsibilities

  • Design, develop, and deploy machine learning and deep learning models
  • Implement NLP, Computer Vision, Predictive Analytics, or Generative AI solutions
  • Perform feature engineering, model tuning, and performance optimization
  • Deploy models to production using MLOps best practices
  • Monitor, maintain, and retrain models for continuous improvement
  • Design and maintain scalable data pipelines (ETL/ELT)
  • Build and optimize data warehouses and data lakes
  • Process large-scale structured and unstructured datasets
  • Ensure data quality, governance, and security standards
  • Collaborate with business teams to translate data requirements into scalable solutions

 

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
  • Minimum 6 years of professional experience in AI/ML and Data Engineering
  • Strong programming skills in Python
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Strong experience with SQL and data modeling
  • Experience with big data tools such as Spark or Hadoop
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of data pipeline orchestration tools (Airflow or similar)
  • Experience with Docker and Kubernetes

 

Preferred Qualifications:

  • Experience with Generative AI and Large Language Models
  • Experience with real-time data streaming (Kafka or similar)
  • Knowledge of data warehouse solutions (Snowflake, Redshift, BigQuery)
  • Familiarity with CI/CD and DevOps practices
  • Strong problem-solving and communication skills

 

 

Interested candidates are encouraged to submit their updated resume along with project experience and technical skill details. 

Shortlisted applicants will be contacted for further evaluation.