Data & AI Engineer

Reply Chicago, IL

Company

Reply

Location

Chicago, IL

Type

Full Time

Job Description

Concept Reply is a leader in IoT solutions. We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond in all aspects of Internet of Things (IoT) and Cloud Computing. With a background in engineering and a passion for cutting-edge technology, our team of experts is committed to delivering world-class results throughout the entire value chain - from designing and developing customized IoT solutions to implementing and managing them seamlessly. We are seeking a Data & AI Engineer to join our team and contribute to the development of innovative data-driven solutions. The ideal candidate will have a passion for data analysis, machine learning, and artificial intelligence, with a strong desire to learn and grow in a dynamic environment.Responsibilities • Lead complex AI projects including a team of professionals • Support the planning and execution of data migration and integration initiatives • Assist in the design, development, and maintenance of data pipelines and ETL workflows • Work closely with data engineers and scientists to build and enhance machine learning models • Contribute to the development and deployment of AI-driven applications and services • Stay informed on emerging trends and advancements in data science and AIMinimum Requirements • Bachelor's degree • 5 years of professional experience in data engineering, AI/ML, or a related technical field • 1 year of hands-on experience supporting complex AI-related projects • Strong understanding of programming principles and data structures • Proficiency in Python (3 yrs experience) • Strong knowledge in at least one of the following areas: Generative AI services (e.g., OpenAI, Bedrock) or Computer Vision • Experience with cloud platforms like AWS, Azure, or Google Cloud • Familiarity with version control systems like Git and basic understanding of data analysis techniques and statistical methodsPreferred Qualifications • Familiarity with machine learning frameworks such as TensorFlow or PyTorch • Understanding of data preprocessing techniques and feature engineering • Experience with Snowflake • 2 years of experience leading technical projects About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $110,000 - $130,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us [email protected]. Visit our website at www.reply.com to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Date Posted

09/29/2025

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