Search for Machine Learning Engineer roles in Ann Arbor with a focus on LLMs, offering a salary range of $115,000 to $130,000, requiring expertise in Python and cloud platforms like AWS.

Okay, I've searched for Machine Learning Engineer roles in Ann Arbor with a focus on LLMs, offering a salary range of $115,000 to$ 130,000, requiring expertise in Python and cloud platforms like AWS. I have found 42 positions for you.

Machine Learning Engineer

Ann Arbor, MI

$115000+

$130000-

Python

Cloud Platforms (AWS)

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Machine Learning Engineer role with a focus on Large Language Models (LLMs) is critical for driving the development of innovative AI solutions that leverage advanced machine learning techniques. The core responsibility lies in architecting, building, and deploying these technologies to solve complex problems across various industries. Candidates will collaborate cross-functionally, necessitating both deep technical skills and the ability to communicate insights effectively to diverse stakeholders. The successful candidate will face challenges related to optimizing existing models, ensuring scalable production systems, and staying abreast of rapidly evolving LLM research. Success in this position will involve delivering high-impact solutions that adhere to best practices in ML systems, deploying state-of-the-art tools, and fostering a culture of knowledge sharing and continuous improvement within the team.

Company Analysis:

Harnham operates within the dynamic and competitive landscape of data and AI recruitment, positioning itself as a specialist provider catering to diverse talent needs across multiple industry verticals. The company underscores its commitment to quality by offering bespoke solutions, from recruitment to training, which reflects a culture centered on expertise and agility. This role as a Machine Learning Engineer aligns well with Harnham's innovative ethos, which prioritizes cutting-edge problem-solving capabilities in data science. Given their focus on generative AI and LLMs, working here promises a fast-paced environment conducive to continuous learning and impactful technology development. The role is likely situated within a cross-functional team, offering visibility to leadership as projects influence overall company objectives of pioneering advancements in AI technology. Employees are expected to exhibit a strong alignment with the company's mission to drive success through exceptional data talent and innovative solutions.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Can you describe a challenging project you worked on involving large language models and how you approached it?
Tell me about a time when you had to explain a complex technical concept to a non-technical stakeholder. What was the concept, and how did you ensure their understanding?
Describe an instance where you faced difficulty optimizing a machine learning model in production. What steps did you take to troubleshoot and resolve the issue?
How would you prioritize tasks when managing multiple projects aimed at deploying ML/LLM solutions simultaneously?
What methodologies do you follow to fine-tune pre-trained LLMs? Can you give a specific example?
How do you approach building and maintaining ML pipelines with tools like MLFlow or Airflow? Could you describe a project where you implemented such a pipeline?
Imagine you are tasked with improving the performance of an existing LLM for a specific application. How would you go about assessing the current model and designing your optimization strategy?
Suppose a new research paper presents a method that could enhance your existing systems. How would you evaluate its applicability to your current projects?
What interests you most about working with Harnham and contributing to AI advancements in the context of the job description?
How do your career goals align with our mission to provide exceptional data talent solutions and drive innovation in AI?
What specific skills or experiences make you a strong fit for this role within Harnham's innovative team?
Can you share how you stay current with developments in machine learning, particularly in LLMs, and how this influences your work?
If given the chance to lead in the implementation of a new LLM project, what key metrics would you track to evaluate its success?
What are your thoughts on the future of generative AI, and how do you see your role contributing to that vision?
Are there any questions you have about our company culture or the team you would be working with?

Job Details

Overview Company

Senior Machine Learning Engineer

$115k/y-$130k/y

Harnham

2 days ago

Highlight

HybridFull-timeSenior

Summary

Harnham is seeking a Machine Learning Engineer with a focus on Large Language Models (LLMs) to join their team in Ann Arbor, MI. The role involves architecting, building, and deploying high-impact machine learning systems.

About the Role

As a Senior Machine Learning Engineer specializing in LLMs, you will lead the development of ML/LLM solutions for tasks like summarization, classification, Q&A, and RAG. You will collaborate on transformer models, fine-tune and optimize pre-trained LLMs, and build ML pipelines. You will also partner with MLOps/DevOps to ensure scalable, secure production systems, deploy models using Docker and Kubernetes, and develop scalable data pipelines. Staying updated with LLM/AI research and documenting workflows are also key responsibilities.

About You

Required:

MSc or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or related STEM field.
Proven experience with LLMs and transformer-based architectures.
Expertise in developing and deploying ML models in production environments.
Strong Python programming skills; familiarity with ML/AI libraries.
Experience with cloud platforms (AWS preferred), container orchestration (Kubernetes), and distributed data processing.
Hands-on experience with ML tools including MLFlow, Airflow, and experiment tracking systems.
Solid understanding of DevOps and CI/CD pipelines for ML systems.
Strong communication skills with the ability to articulate technical details to non-technical stakeholders.

Preferred:

Experience in retrieval-augmented generation (RAG), vector databases, and embedding models.
Exposure to open-source LLM deployment frameworks like LangChain or LlamaIndex.
Knowledge of reinforcement learning from human feedback (RLHF), prompt engineering, and evaluation metrics for generative models.
Prior work in regulated or high-security environments (finance, healthcare, etc.) is a plus.

Benefits

Base Salary: $115k–$130k
15% Annual Bonus
Hybrid work setup
Generous benefits package including health, dental, and vision insurance
Professional development budget and opportunities to attend top AI conferences

Harnham

Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com

Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions.

Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.

Our five core services:

ATD - Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a
Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.
Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.
Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM’s and AI. Highly bespoke, customised to your team learning requirements and budgets.

Ann Arbor, MI