About Moser

For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.

Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.

Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service.

Description

We are seeking a highly skilled and motivated Machine Learning Engineer/AI Developer with 3+ years of hands-on experience to join our dynamic team. The ideal candidate will have deep expertise in designing, developing, and deploying ML models and AI systems using Python, with strong proficiency in modern frameworks such as PyTorch, TensorFlow. Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and foundation model fine-tuning is essential. This role will also encompass 50% Data Engineering work such as pipeline development and python heavy ELT and thus cloud engineering experience is critical.

This role is ideal for someone who enjoys working on different types of projects - from data ingestion and transformation to model development, deployment, and monitoring. We are looking for someone who thrives in a fast-paced, collaborative environment and is passionate about pushing the boundaries of AI technology to solve complex problems.

Role Responsibilities

Data Engineering:

• Design, Develop, Deploy, and Monitor complex ETL/ELT data pipelines which may contain various required transformations of data using various languages and techniques.
• Apply and promote best practices for data engineering including governance, scalability, and deployment standards.
• Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
• Create and maintain technical documentation, operational documentation, data flow diagrams, and data mapping documents.
• Provides technical leadership and mentorship to team members.

AI & ML Engineering:

• Build, train, and deploy machine learning models across supervised, unsupervised, and reinforcement learning paradigms, selecting the right approach based on business need and data characteristics.
• Apply advanced techniques including natural language processing (NLP), computer vision, and time-series forecasting for domain-specific use cases. Models may include risk forecasting, demand forecasting, inventory optimization and equipment failure predictions.
• Implement model governance processes: versioning, audit trails, model explainability, and responsible AI practices. Apply responsible AI practices: fairness, bias mitigation, ethical considerations.
• Experience in containerization with tools such as Docker, Kubernetes for model deployment and scaling.
• Ability to monitor for model drift detection, performance monitoring, logging and observability.
• Integrate ML systems into broader data ecosystems, ensuring seamless interaction with data warehouses, APIs, and operational systems.
• Translate models into measurable client value.

Collaboration & Communication:

• Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.
• Foster a collaborative and positive team environment, contributing to team success.
• Proven ability to explain complex concepts to non-technical collaborators.
• Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of ML/AI solutions and other relevant data solutions.
• Communication and collaboration: Excellent verbal and written communication skills.

Client Engagement & Delivery

• Lead discovery sessions to understand client requirements and current state architecture
• Conduct knowledge transfer sessions and create comprehensive documentation
• Provide ongoing support and optimization recommendations post-implementation

Requirements

• Bachelor's or Master's degree in Computer Science/Engineering, Data Science, or a related field; or equivalent years professional experience.
• 3+ years of professional experience in a relevant field.
• Strong understanding of cloud platforms, with the ability to navigate clients with regulatory or maturity constraints.
• Experience designing ETL/ELT pipelines, ensuring data quality, and applying best practices in data governance.
• Strong proficiency in Python and core ML Libraries (scikit-learn, PyTorch, TensorFlow).
• Hands-on experience with LLMs, RAG architectures, and fine-tuning foundation models.
• Familiarity with MLOps practices and tooling.
• Proficiency in containerization and orchestration for model deployment.
• Demonstrated ability to communicate technical concepts to both technical and non-technical audiences.
• Demonstrated ability to learn new technologies and apply them across data engineering and/or ML engineering.

Where You'll Work

Moser has two offices in Indianapolis, IN, and one in Baltimore, MD. This position requires a hybrid/on-site work schedule. Must be able to work at least 3 days on-site at a local client.

Salary

At Moser Consulting, we believe in pay transparency and fairness. The $120k-$155k salary range for this role is not just a number—it's a reflection of the value we place on the skills and experience our employees bring to our team. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.

Benefits

For over a quarter of a century, Moser Consulting has been a beacon for top-tier IT talent who excel in self-management. Our people are our greatest asset. We don't just hire the best—we welcome them into our family, connect them with opportunities, and empower them to create innovative solutions to technology challenges.

Our unique culture is our competitive edge. It fosters happiness, health, and low stress, even in an industry known for its demands. This is why we're consistently recognized as one of the Best Places to Work in Indiana. We provide our employees with an inspiring workspace, a fun and collaborative atmosphere, and a generous compensation package. But that's not all.

We also offer a suite of benefits designed to support and enrich our employees' lives. These include:

• Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.

• Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.

• PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.

• Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.

• Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.

• Wellness Program: We promote a healthy lifestyle with our wellness program.

• Catered Lunches: Enjoy delicious catered lunches regularly.

At Moser Consulting, we don't just offer jobs—we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.

Moser Consulting is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.