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Senior Ai Ml Engineer

  • Job type Posted on: Jul 22, 2026
  • Experience level QTech
  • Employment type Boston, Massachusetts
  • Employment type Onsite
  • Salary Full-time
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Job Title :

Senior Ai Ml Engineer

Job Type :

Full-time

Job Location :

Boston Massachusetts United States

Remote :

No

Jobcon Logo Job Description :

Job: Senior AI/ML Engineer
Location: Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA, New York City, NY
Contact: 12+ Months
Looking for W2 candidates. No C2C
Responsibilities:
Design, develop, and deploy AI/ML models for enterprise applications.
Build scalable machine learning pipelines and data preprocessing workflows.
Develop and optimize LLM, NLP, and Generative AI solutions.
Integrate AI models with cloud platforms and production systems.
Monitor model performance, retrain models, and improve accuracy.
Collaborate with Data Engineers, Data Scientists, and software development teams.
Mandatory Skills:
8+ years of AI/ML engineering experience.
Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
Experience with LLMs, Generative AI, RAG, LangChain, and Vector Databases.
Knowledge of AWS or Azure AI/ML Services.
Experience with Docker, Kubernetes, Git, and CI/CD.
Strong SQL and data engineering fundamentals.
Preferred Skills:
MLOps use MLflow or Kubeflow.
Apache Spark or PySpark.
Hugging Face Transformers.
Databricks and Snowflake.
Knowledge Graphs and Graph Databases.
Excellent communication and problem-solving skills.

Jobcon Logo Position Details

Posted:

Jul 22, 2026

Reference Number:

443-43618

Employment:

Full-time

Salary:

Not Available

City:

Boston

Job Origin:

CIEPAL_ORGANIC_FEED

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Job: Senior AI/ML Engineer
Location: Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA, New York City, NY
Contact: 12+ Months
Looking for W2 candidates. No C2C
Responsibilities:
Design, develop, and deploy AI/ML models for enterprise applications.
Build scalable machine learning pipelines and data preprocessing workflows.
Develop and optimize LLM, NLP, and Generative AI solutions.
Integrate AI models with cloud platforms and production systems.
Monitor model performance, retrain models, and improve accuracy.
Collaborate with Data Engineers, Data Scientists, and software development teams.
Mandatory Skills:
8+ years of AI/ML engineering experience.
Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
Experience with LLMs, Generative AI, RAG, LangChain, and Vector Databases.
Knowledge of AWS or Azure AI/ML Services.
Experience with Docker, Kubernetes, Git, and CI/CD.
Strong SQL and data engineering fundamentals.
Preferred Skills:
MLOps use MLflow or Kubeflow.
Apache Spark or PySpark.
Hugging Face Transformers.
Databricks and Snowflake.
Knowledge Graphs and Graph Databases.
Excellent communication and problem-solving skills.

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