AI/ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Boston (MA); Presencial; USD 97.000 - 138.000; Jornada completa

Descripción de la vacante

MACHINE LEARNING TECHNOLOGIES LLC in Boston, MA is seeking an AI/ML Engineer to lead the design and implementation of enterprise AI/ML solutions. The role focuses on model development, production deployment, and integration of intelligent capabilities with emphasis on Python, deep learning, Generative AI, and cloud platforms.

The position requires senior-level expertise in ML, NLP, LLMs, and RAG pipelines, with hands-on experience across PyTorch, TensorFlow, and Scikit-learn, and practical

Formación

• 7+ years in software engineering, AI, or ML.
• Expert Python and SQL programming.
• Hands-on with PyTorch, TensorFlow, Scikit-learn.
• Deep understanding of ML algorithms, neural networks, and stats.
• Experience with LLM apps and Generative AI solutions.
• Knowledge of RAG, vector databases, embedding models.
• Proficiency with Hugging Face, LangChain, or LlamaIndex.
• Experience with cloud ML platforms (SageMaker, Azure ML, Vertex AI).
• Strong MLOps, MLflow, Docker, Kubernetes, and CI/CD.
• Model optimization, monitoring, production deployment.

Responsabilidades

• Architect and develop scalable AI/ML solutions for enterprise needs.
• Lead development, training, evaluation, and deployment of models.
• Design NLP, deep learning, and Generative AI applications.
• Build RAG pipelines and integrate LLMs with data sources.
• Establish model evaluation strategies and improve accuracy and reliability.
• Develop automated ML pipelines and deployment workflows.
• Optimize inference, scalability, and resource use.
• Mentor engineers and guide development teams.
• Collaborate with data scientists, architects, product managers, and stakeholders.
• Ensure responsible AI, data privacy, and governance.

Conocimientos

Leadership

Mentoring

Collaboration

Strong communication

NLP

Generative AI

Cloud platforms

Educación

Master's or PhD in AI/ML/CS/DS

BS in CS/Math/Stats/Engineering

AWS/GCP/Azure certification advantageous

Herramientas

Python

SQL

PyTorch

TensorFlow

Scikit-learn

Hugging Face

LangChain

LlamaIndex

AWS SageMaker

Azure ML

Google Vertex AI

MLOps

Docker

Kubernetes

CI/CD

Model deployment

Descripción del empleo

Job Description

Job ID: J54279

Job Title: AI/ML Engineer

Location: Boston, MA

Duration: 15 Months + Extension

Domain Exposure: Banking & Finance

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

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

Bill Rate

$85/hour (C2C)

Job Type

W-2, 1099, C2C

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.

Equal Opportunity Employer

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.