AI Engineer Full-time

Position Description:This role involves developing and maintaining applications that ingest data from multiple engineering systems in the backend and provide an AI/ML-enabled web front end for predictive analytics, automation, and engineering insights.

Skills Required:

• Database Management:Work with databases for data storage, retrieval, and management tailored to AI/ML needs.
• Strong experience with ETL processes (e.g., Apache Kafka, Talend, or custom scripts).
• Knowledge of various database systems (SQL, NoSQL like MongoDB, Cassandra).
• Experience with data warehousing concepts and tools (e.g., Google BigQuery).
• AI/ML Integration:Incorporate machine learning models into applications to enhance functionality, including natural language processing, image recognition, and predictive analytics.
• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn for model development.
• Knowledge of chatbot development platforms like Dialogflow.
• Familiarity with frameworks like LangChain and Retrieval Augmented Generation (RAG).
• Full Stack Development:Design, develop, and maintain scalable and efficient web applications using modern frameworks (e.g., React, Angular for frontend; Node.js, Django for backend).
• Cloud Services:Proficiency in at least one major cloud platform (Google Cloud preferred) for data storage, processing, and hosting AI services.
• API Development:Develop RESTful APIs to ensure seamless integration between frontend, backend, and external services.
• DevOps:Basic understanding of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Performance Optimization:Continuously improve application performance through code refactoring, optimization of data pipelines, and tuning of machine learning models.

Skills Preferred:

• Collaboration:Work closely with data scientists, product managers, and other developers to conceptualize and execute project requirements.
• Testing and Deployment:Write unit and integration tests, manage CI/CD pipelines, and ensure smooth deployments to production environments.
• Documentation:Maintain clear documentation for systems, services, and models to support future maintenance and development.

Experience Required:

• At least 5 years of experience in Data Engineering with a focus on full stack development.
• Proven experience in developing applications with integrated AI/ML features.

Education Required:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields with a special focus on Data Engineering and AI/ML.

Education Preferred:

• Certifications in AI/ML like Google’s Professional Machine Learning Engineer are optional but beneficial.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178.

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated’s Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.