5+ years of AI/ML engineer with 2+ Years of production AI systems ( Only Local to Massachusetts)- Only w2

Overview

Hybrid
$40 - $50
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Unable to Provide Sponsorship

Skills

Artificial Intelligence
Machine Learning Operations (ML Ops)
Prompt Engineering
PyTorch
Python

Job Details

AI Engineer
Location: Boston, MA (must be local to Boston and on-site 3 days a week)
Duration: 12 months
Interview Mode: video
Work Authorization: s, s, and EADs. no H1Bs
Job Description: Responsible for designing, developing, and implementing AI systems and data pipelines.
  • AI/ML Development Expertise: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices.
  • Software Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices.
  • Data Pipeline Engineering: Extensive experience with end-to-end data pipelines using tools like Apache Airflow, Prefect, cloud platforms (AWS, Azure, Google Cloud Platform), data warehousing solutions (Snowflake, Redshift), processing frameworks (Spark, Kafka), and container technologies (Docker, Kubernetes), with proficiency in Python, SQL, and version control/CI/CD practices.
  • Machine Learning Engineering: Demonstrated experience in the full ML lifecycle including data preparation, feature engineering, model training, validation, deployment, and monitoring in production.
  • Natural Language Processing: Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications.
  • Cloud Computing: Experience deploying and scaling AI systems in cloud environments (AWS, Azure, or Google Cloud Platform), with knowledge of cloud-native AI services.
  • Solution Architecture: Ability to design scalable, secure, and efficient AI system architectures that meet enterprise requirements and performance standards.
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