AI/ML Engineer

Cloud Analytics Technologies, LLC; Boston (MA); On-site; USD 140,000 - 200,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks a Senior AI/ML Engineer to lead design and implementation of enterprise AI/ML solutions. You will drive model development, optimize pipelines, and deploy intelligent capabilities in production systems.

Expert Python, deep learning and cloud AI platforms are essential. 7+ years in AI/ML, NLP and Generative AI experience required, with leadership and strong collaboration skills.

Qualifications

• 7+ years in AI/ML engineering or software development.
• Expert Python programming and SQL experience.
• Hands-on with PyTorch, TensorFlow, and Scikit-learn.
• Experience with LLM applications and Generative AI.
• Knowledge of RAG, vector databases, and embeddings.
• Experience with Hugging Face, LangChain, or LlamaIndex.
• Proficiency in AWS SageMaker, Azure ML, or Vertex AI.
• Strong MLOps, MLflow, Docker, Kubernetes, and CI/CD.
• Model optimization, monitoring, and production deployment.
• Mentor engineers and lead projects.
• Lead development, training, evaluation and deployment of models.
• Architect scalable AI/ML solutions for enterprise needs.

Responsibilities

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

Skills

Python

Deep learning

Generative AI

Cloud platforms

SQL

PyTorch

TensorFlow

Scikit-learn

NLP

LLM applications

RAG

LangChain

LlamaIndex

AWS SageMaker

Azure ML

Vertex AI

Docker

Kubernetes

MLflow

CI/CD

Model deployment

MLOps

Mentoring

Communication

Education

Master's in AI/ML/CS

Bachelor's in CS/Math/Engineering

Tools

Hugging Face

LangChain

LlamaIndex

AWS SageMaker

Azure Machine Learning

Google Vertex AI

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

Role Description:

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.

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