Sr. AI/ML Software & Systems Engineer - Remote

IEM is looking for aFull Time - Senior AI/ML Software & Systems Engineer to lead the design and development of cutting-edge AI-powered software tools.

Primary Location:

• Live anywhere that meets remote work requirements in the United States including Puerto Rico.
• Work remotely from home or personal office location.

Essential Functions:

• Design, develop, and deploy end-to-end machine learning pipelines-from data ingestion and feature engineering to model training and production integration.
• Build robust, production-grade software tools incorporating artificial intelligence and machine learning.
• Provide technical leadership in code reviews, design discussions, and architecture planning, ensuring high quality and efficiency in software delivery.
• Mentor and guide team members, ensuring adherence to best practices in software engineering, data science, and ML.
• Collaborate with cross-functional teams (data scientists, software engineers, product managers) to translate business challenges into innovative technical solutions.
• Stay current with the latest advancements in machine learning and AI, driving continuous improvement in our tech stack and methodologies.

Minimum Qualifications:

• Experience: Fifteen (15) years of industry experience in software engineering, data science, and machine learning.
• Degree: Masters Degree or Ph.D. in Data Science, Computer Science, Engineering, Mathematics, or a related field.
• Proven track record of developing and deploying scalable AI/ML solutions in production environments.
• Expertise in multiple programming languages (e.g., Python, Java, C/C++) and familiarity with a wide range of tech stacks.
• Deep understanding of ML frameworks such as TensorFlow, PyTorch, or similar, along with experience in data processing frameworks (e.g., Apache Spark, Hadoop) and platforms (e.g. Databricks, Snowflake, Amazon Redshift, etc.).
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Exceptional problem-solving, analytical, and communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Demonstrated leadership in guiding multidisciplinary teams and projects.
• A passion for continuous learning and innovation in the rapidly evolving field of AI.
• Excellent organizational skills and a proactive approach to overcoming technical challenges.

Additional Information:

• Remote Locations:All remote work environments require the ability to maintain minimum Internet speeds of 25 Mbps upload and 3 Mbps download, as well as a ping rate of 100 ms or less during working hours, regardless of the type and number of devices using your Internet connection. You must also have account privileges and access to your Internet service provider account during working hours for the purposes of maintaining the Internet connection, if needed.

Benefits and more:

• Starting salary based on experience and location: $175,000 - $195,000
• 10 paid Holidays
• Vacation Pay
• Sick Pay
• 401 (K) plan with matching
• Company paid STD and LTD

Equal Employment Opportunity.All IEM employment decisions, including recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment, if necessary, are made without regard to an individual's race, color, religion, creed, sex (including sexual orientation, gender identity, and gender expression), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, pregnancy (including childbirth and related medical conditions), marital status, military or veteran status, citizenship or immigration status, or any other characteristic protected under applicable law.

Reasonable Accommodation.IEM is committed to providing reasonable workplace accommodations for individuals with disabilities. If you require assistance or reasonable accommodation during any part of the application or employment process, please emailIEMhumanresources@iem.comwith specific details about the requested accommodation. All accommodation requests are reviewed case-by-case in compliance with applicable law.