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 looking for a highly skilled and motivated Machine Learning and Data Engineer with 3 - 5 years of hands-on experience to join our dynamic team. The ideal candidate will have a deep expertise in designing, developing, and deploying Machine Learning models using Python and R, with a strong focus on and a foundational understanding of Generative AI (GenAI).

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. You will have the opportunity to build cutting-edge Gen AI projects and prototypes. Collaborating closely with data scientists, data engineers, and business stakeholders, you will deploy scalable solutions that empower data-driven decision-making and deliver real business impact.

A deep understanding of statistics and programming will be crucial, as you'll be working with large datasets to build, test, and fine-tune machine learning models and algorithms for maximum performance.

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.
  • Optimize and tune data processing and storage systems for performance, scalability, and reliability.
  • Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
• Machine Learning Engineering:
  • Design, develop and implement successful Machine Learning models.
  • Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
  • Review published research papers to apply to industry/client use-cases.
  • Peer review other models for improvements and optimization.
  • Run machine learning tests and experiments, and document findings and results.
  • Train, retrain, and monitor machine learning systems and models as needed.
  • Collaborate with data engineers to build scalable and efficient data pipelines for training and testing.
• Generative AI:
  • Collaborate with cross-functional teams to identify business opportunities for Generative AI solutions.
  • Build prototypes & implement solutions for Gen AI, such as: LLMs, RAGs, and AI Agents.
• Collaboration & Communication:
  • Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Proven ability to 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.

Requirements

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.
• Minimum 3 - 5 years of experience working with Machine Learning models.
• Minimum 3 – 5 years of experience working with Cloud Technologies, such as: Snowflake, Azure Data Factory, Redshift.
• Ability to write robust code in programming languages, such as: Python, SQL and R.
• Proficient in writing advanced / complex SQL statements; expertise in performance tuning and optimization of SQL queries required.
• Strong understanding of ETL/ELT fundamentals and solutions involving tools such as Azure Data Factory, Databricks, Fivetran and SSIS.
• Strong knowledge of Machine Learning frameworks and libraries, such as: TensorFlow, Keras, PyTorch, and scikit-learn.
• Basic understanding of GenAI tools and frameworks, such as: GPT, DALL-E, GANs, and how they can be applied to real-world problems for contributing to cutting-edge AI-driven projects.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Experience with cloud platforms such as AWS/Azure for deploying and managing machine learning models.
• Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights.
• A solid understanding of statistical analysis, data modeling and data visualization techniques.
• Communication and collaboration: Excellent verbal and written communication skills.
• Excellent time management and organizational skills.
• Hybrid work setting

Where You'll Work

Moser has two offices in Indianapolis, IN, and one in Baltimore, MD. This position will require a hybrid/onsite work schedule out of our downtown Indianapolis office.

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.