AI/ML Engineer (python) - Direct hire/Perm - Startup - 100% Onsite

Clear Point Consultants
Quincy, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Quincy, United States of America

Tech stack

Artificial Intelligence
Airflow
Data Infrastructure
Data Warehousing
Distributed Systems
Python
TensorFlow
Data Streaming
Data Ingestion
PyTorch
Spark
Kafka
Machine Learning Operations
Data Pipelines

Job description

AI/ML Engineer - Full-Time | Boston Seaport (Everyone on the R&D team is on-site 5 days a week)

We're partnering with an exciting early-stage startup to find an AI/ML Engineer for a full-time, permanent role. Our client is building something ambitious, and they need a hands-on engineer who's as comfortable architecting data pipelines as they are training models.

The Role: You'll be embedded in a lean, high-velocity team where you'll own meaningful technical problems from day one - building the data infrastructure and ML systems that power their core product.

What you'll be doing

  • Designing and maintaining scalable data pipelines for ML workloads
  • Optimizing data ingestion, throughput, and processing efficiency
  • Building, training, and deploying models using TensorFlow and PyTorch
  • Working closely with engineering and product to move quickly from experimentation to production

Requirements

  • Strong Python skills and fluency with the modern data stack
  • Hands-on experience with TensorFlow and/or PyTorch
  • Solid understanding of data pipeline architecture and best practices
  • A self-starter mindset - comfortable with ambiguity and moving fast

Bonus: experience with distributed systems or streaming tools (Kafka, Spark, Airflow, etc.)

Benefits & conditions

  • Full-time, permanent position with competitive salary + great benefits + Unlimited PTO
  • A small, high-trust team with real ownership and impact

Ground-floor opportunity to shape the technical direction of an early-stage company

Apply for this position