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    Home/Jobs/AI Expert- Software

    AI Expert- Software

    Eccalon

    Detroit
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Machine Learning
    Python
    Java
    C++
    JavaScript
    TensorFlow
    PyTorch
    Scikit-learn
    APIs
    Microservices
    Backend Systems
    Software Architecture
    Version Control

    Description

    Eccalon is hiring an AI Expert – Software Engineering to design, develop, and integrate AI capabilities into production-grade software systems. The role combines AI/ML expertise with strong software engineering for scalable, secure, maintainable applications.

    Company: Eccalon

    Role: AI Expert – Software

    Location: Detroit, MI- Onsite

    Experience:

    • 5+ years of professional software development experience
    • Security clearance: no clearance required, must be clearable
    • Strong programming skills in Python and at least one additional language: Java, C++, or JavaScript
    • Hands-on experience integrating AI/ML models into software applications
    • Experience building APIs, microservices, or backend systems
    • Strong understanding of software architecture, version control, and CI/CD practices

    Qualification:

    • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field
    • Master’s degree or PhD in AI, Machine Learning, or a related discipline

    Responsibilities:

    • Design and develop AI-enabled software applications and platforms
    • Integrate machine learning models, LLMs, and AI services into backend and full-stack systems
    • Develop, test, and deploy AI solutions using modern software engineering best practices
    • Build and maintain data pipelines, APIs, and AI-driven services
    • Collaborate with software engineers, data scientists, DevOps, and product teams
    • Ensure AI solutions are scalable, secure, explainable, and production-ready
    • Perform model evaluation, performance tuning, and continuous improvement
    • Support cloud-based deployment and monitoring of AI systems
    • Document system architecture, models, and development processes

    Additional responsibilities:

    • Work across enterprise and mission-critical environments
    • Support AI deployment pipelines
    • Manage model monitoring and lifecycle management
    • Work in government, defense, or regulated environments

    Nice to have:

    • Experience working with large language models (LLMs) and generative AI tools
    • Familiarity with cloud platforms: AWS, Azure, or GCP
    • Experience with MLOps
    • Background supporting government, defense, or regulated environments
    • Ability to obtain and maintain a security clearance if required by contract

    More skills:

    Artificial intelligence, AI/ML, Machine learning models, Full-stack systems, Data pipelines, AI services, CI/CD, Cloud deployment, Monitoring, MLOps, Model evaluation, Performance tuning

    Other:

    • Category: Information Technology
    • Type: Full-time
    • Full-Time/Part-Time: Full-Time
    • Exempt/Non-Exempt: Exempt
    • Eccalon provides global solutions across Machine Learning, Cybersecurity, Aerospace & Defense, Material Sciences, Advance Manufacturing, Sports Science, Biotechnology, and Health & Life Sciences
    • Supportive work environment with inclusion, teamwork, and trust
    • Career advancement opportunities
    • Extensive benefits package for employees and their families
    • Focus on wellness, healthy balance, innovation, security, and mission-critical impact

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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