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senior ai/ml engineer jobs near medford, ma

Senior AI/ML Engineer

Velir -
Boston, MA

Quick Apply

Job Details

$150,000 - $180,000 a year
1 day ago

Qualifications

AI models
Performance monitoring
AI use case identification
Software engineering
Databricks
Data transformation pipeline development
Continuous Delivery (CD) implementation
PyTorch
Tooling
5 years
Software deployment
Software implementation
Amazon SageMaker
System design
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Snowflake
Prompt engineering
Maintaining data pipelines
System design for system development
Production systems
Machine learning cloud services
Model deployment
Supervised learning
Developing large-scale AI models
Mentoring
Azure Machine Learning
Improving predictive model accuracy
Software documentation

Full Job Description

Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world's largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics.

At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits.

Overview

Senior AI/ML Engineers are senior individual contributors who design, build, and deploy production-grade AI/ML systems for both client-facing and internal products. They partner with leadership and cross-functional teams to translate business needs into scalable ML and LLM-based solutions.

This role does not typically include direct reports but requires strong technical leadership, mentorship, and influence across teams.

Responsibilities

AI/ML System Design & Leadership

Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
Translate research and prototypes into production-ready systems
Partner with stakeholders to identify high-impact AI/ML opportunities and define optimal technical approaches
Provide technical mentorship and contribute to team upskilling

LLM & Production AI Systems

Build and operate LLM pipelines, including prompt design, fine-tuning, and evaluation
Develop RAG-based systems using embeddings, vector stores, and retrieval strategies
Design evaluation frameworks, feedback loops, and datasets to continuously improve model performance
Create reusable tooling to accelerate experimentation, deployment, and monitoring

MLOps & Deployment

Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iteration
Establish best practices for reproducibility, observability, CI/CD, and model versioning
Partner with platform/DevOps teams to ensure reliability and scalability
Promote responsible AI practices, including governance, fairness, and transparency

Cross-Functional Collaboration

Lead cross-functional initiatives across data engineering, analytics, and AI/ML
Translate complex ML concepts into clear recommendations for technical and non-technical audiences
Collaborate with clients and internal teams to plan and deliver AI/ML solutions
Contribute documentation, frameworks, and shared best practices

Project Execution

Scope and lead complex AI/ML initiatives aligned to business outcomes
Align stakeholders and drive execution across teams
Establish clear success metrics and ensure delivery of high-impact solutions

Skills & Qualifications

5–7 years of experience in ML engineering, AI engineering, or related fields, with production deployment experience
Strong programming skills in Python and SQL; experience with PyTorch and HuggingFace
Experience building LLM applications, including RAG, embeddings, and vector search
Experience with cloud platforms (AWS or Azure; e.g., SageMaker, Bedrock, Azure ML)
Strong understanding of ML fundamentals: data design, training, evaluation, and experimentation
Familiarity with LLM alignment techniques (e.g., SFT, DPO, RL)
Experience with MLOps practices: CI/CD, monitoring, retraining, and experiment tracking
Proficiency working with complex, multi-source datasets and defining evaluation strategies
Strong software engineering fundamentals (testing, modularity, code review)
Experience mentoring engineers and influencing technical direction
Strong communication skills with both technical and non-technical stakeholders

Tech Stack

Languages: Python, SQL
Frameworks: PyTorch, HuggingFace
Platforms: AWS, Azure, Snowflake, Databricks

Physical Requirements

Frequent sitting at a desk performing work on a computer
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Compensation Range: $150,000 - 180,000 annually

Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.

Core Company Values

Take the Long View - Ensure the company is built to last
Be Courageous - Make the right decisions even when they aren't the easiest decisions
Be Genuine - Bring honesty and authenticity to all that you do
Work with Focus + Passion - Display purpose and pride in your work and never stop learning

As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure.

At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.

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Overview

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Compensation Range: $150,000 - 180,000 annually

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