Senior AI/ML Engineer

Artifintech; Boston (MA); On-site; USD 170,000 - 250,000; Full time

Job summary

Artifintech in Boston seeks a Senior AI/ML Engineer to lead design and deployment of enterprise AI/ML solutions. You will drive model development, optimize pipelines, and integrate intelligent capabilities into production systems.

The role demands expert Python, deep learning, NLP, and Generative AI skills, with cloud platform experience across AWS, Azure, or Vertex AI, and strong MLOps proficiency.

Qualifications

• 7+ years of experience in software engineering, AI, or machine learning.
• Expert-level programming skills in Python and experience with SQL.
• Strong hands-on experience with PyTorch, TensorFlow, and Scikit-learn.
• Deep understanding of machine learning algorithms, neural networks, and statistical modeling.
• Experience developing Large Language Model (LLM) applications and Generative AI solutions.
• Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and embedding models.
• Experience with Hugging Face, LangChain, or LlamaIndex.
• Proficiency in AWS SageMaker, Azure Machine Learning, or Google Vertex AI.
• Strong understanding of MLOps, MLflow, Docker, Kubernetes, and CI/CD.
• Experience with model optimization, monitoring, and production deployment.

Responsibilities

• Architect and develop scalable AI/ML solutions for complex enterprise requirements.
• Lead the development, training, evaluation, and deployment of machine learning models.
• Design advanced NLP, deep learning, and Generative AI applications.
• Build RAG pipelines and integrate LLMs with enterprise data sources.
• Establish model evaluation strategies and improve accuracy, reliability, and performance.
• Develop automated ML pipelines and production deployment workflows.
• Optimize model inference, scalability, and resource utilization.
• Mentor junior engineers and provide technical direction to development teams.
• Collaborate with data scientists, architects, product managers, and business stakeholders.
• Ensure responsible AI practices, data privacy, and model governance.

Skills

Python

Deep Learning

NLP

Generative AI

ML Pipelines

Model Deployment

Cloud Platforms

MLOps

Leadership

Architectural Design

Education

Master's or PhD in AI/ML/CS

Bachelor's in CS/Math/Engineering

Tools

PyTorch

TensorFlow

Scikit-learn

AWS SageMaker

Azure ML

Vertex AI

MLflow

Docker

Kubernetes

LangChain

LlamaIndex

Hugging Face

VectorDBs

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

This position involves leading the design and implementation of advanced AI and machine learning solutions for enterprise applications. The Senior AI/ML Engineer will drive model development, optimize machine learning pipelines, and integrate intelligent capabilities into production systems. Strong expertise in Python, deep learning, Generative AI, and cloud-based AI platforms is essential.

Advanced Technical Requirements:

7+ years of experience in software engineering, AI, or machine learning.

Expert-level programming skills in Python and experience with SQL.

Strong hands-on experience with PyTorch, TensorFlow, and Scikit-learn.

Deep understanding of machine learning algorithms, neural networks, and statistical modeling.

Experience developing Large Language Model (LLM) applications and Generative AI solutions.

Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and embedding models.

Experience with Hugging Face, LangChain, or LlamaIndex.

Proficiency in AWS SageMaker, Azure Machine Learning, or Google Vertex AI.

Strong understanding of MLOps, MLflow, Docker, Kubernetes, and CI/CD.

Experience with model optimization, monitoring, and production deployment.

Leadership & Technical Contributions:

Architect and develop scalable AI/ML solutions for complex enterprise requirements.

Lead the development, training, evaluation, and deployment of machine learning models.

Design advanced NLP, deep learning, and Generative AI applications.

Build RAG pipelines and integrate LLMs with enterprise data sources.

Establish model evaluation strategies and improve accuracy, reliability, and performance.

Develop automated ML pipelines and production deployment workflows.

Optimize model inference, scalability, and resource utilization.

Mentor junior engineers and provide technical direction to development teams.

Collaborate with data scientists, architects, product managers, and business stakeholders.

Ensure responsible AI practices, data privacy, and model governance.

Senior-Level Experience:

7–10+ years of experience in AI/ML engineering or related software development.

Demonstrated experience delivering production-grade machine learning solutions.

Strong background in deep learning, NLP, and advanced predictive modeling.

Experience designing enterprise Generative AI and LLM-based applications.

Proven ability to lead technical projects and make architecture decisions.

Experience managing end-to-end ML development and deployment lifecycles.

Strong communication, analytical, and technical leadership skills.

Academic Credentials & Professional Certifications:

Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a closely related field is preferred.

Bachelor's degree in Computer Science, Applied Mathematics, Statistics, or Engineering with substantial relevant experience is acceptable.

Certifications such as AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate are advantageous.

Published research, patents, or contributions to open-source AI/ML projects are an added advantage.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.