Job description
Luminexis.AI builds human-centered AI systems that accelerate clarity, streamline decision-making, and solve complex problems at scale. We work with organizations that need more than automation—they need intelligent infrastructure that moves as fast as they do.
About the job
Where AI Starts for Companies That Can’t Afford to Fail
Luminexis.AI delivers AI strategy and execution for organizations operating in high-stakes environments—defense, healthcare, insurance, and logistics. Through our flagship Discovery Package and the upcoming Illuminate ™ platform, we turn AI overwhelm into clarity, capability, and measurable results. We’re a fast-moving, client-first, technology-driven team looking for a proven closer to help us scale from high-trust engagements to platform-driven growth.
Position Description
We are seeking a talented AI/ML Engineer to join our AI Services Consulting team. This role requires a seasoned professional with 6-8 years of hands-on machine learning and AI development experience who can design, build, and deploy enterprise-grade AI solutions. The ideal candidate will translate business requirements into scalable AI/ML systems, lead technical implementation across diverse client environments, and drive innovation in our AI service offerings.
Key Requirements
Design & Develop AI/ML Solutions
Architect and build end-to-end machine learning pipelines from data ingestion to model deployment
Develop custom AI models including supervised, unsupervised, and deep learning algorithms
Implement natural language processing, computer vision, and predictive analytics solutions
Design scalable MLOps frameworks for model versioning, monitoring, and automated retraining
Optimize model performance for production environments with focus on latency and accuracy
Lead Technical Implementation & Integration
Collaborate with product managers, business analysts to translate functional requirements into technical specifications
Develop capabilities to integrate AI/ML solutions with existing enterprise systems (CRM, databases, APIs, etc.)
Develop RESTful APIs and microservices for AI model serving and consumption
Implement real-time and batch inference systems using cloud platforms (Azure, AWS, GCP)
Ensure security, compliance, and data governance standards in AI implementations
Drive Data Engineering & Model Operations
Build robust data preprocessing and feature engineering pipelines
Implement automated model training, validation, and deployment workflows
Design monitoring systems for model drift detection and performance tracking
Establish CI/CD pipelines for machine learning model lifecycle management
Optimize data storage and retrieval systems for large-scale AI workloads
Provide Technical Leadership & Innovation
Mentor junior engineers and guide technical decision-making across projects
Research and evaluate emerging AI technologies and frameworks
Lead proof-of-concept development for new AI service offerings
Contribute to technical architecture reviews and solution design sessions
Support pre-sales activities with technical expertise and solution demonstrations
Qualifications
Technical Expertise & Experience
6-8 years of hands-on experience in machine learning and AI development
Strong Proficiency in Python with deep knowledge of ML frameworks such as TensorFlow, PyTorch, scikit-learn
Strong experience with cloud ML platforms (Azure ML, AWS SageMaker, Google AI Platform)
Expertise in data processing tools (Spark, Pandas, SQL) and big data technologies
Experience with containerization (Docker, Kubernetes) and MLOps tools (MLflow, Kubeflow, DVC)
AI/ML Domain Knowledge
Deep understanding of machine learning algorithms, statistics, and mathematical foundations
Experience with deep learning architectures (CNNs, RNNs, Transformers, GANs)
Knowledge of NLP techniques, computer vision, and time series forecasting
Understanding of model explainability, bias detection, and ethical AI principles
Experience with A/B testing, experimentation design, and statistical analysis
Software Engineering & Architecture
Strong software development skills with experience in agile methodologies
Knowledge of system design patterns and distributed computing principles
Experience with API development, microservices architecture, and database design
Familiarity with DevOps practices and infrastructure as code
Understanding of data security, privacy regulations, and compliance requirements
Communication & Collaboration
Ability to communicate complex technical concepts to non-technical stakeholders
Experience working in cross-functional teams with business analysts and project managers
Proven track record of delivering production-ready AI solutions in enterprise environments
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
Deliverables
Technical Delivery Excellence
Successfully deliver 2-3 concurrent AI/ML projects with 99%+ uptime in production
Achieve model performance metrics that exceed baseline requirements by 15-20%
Implement scalable solutions that handle 10x traffic growth without performance degradation
Maintain code quality standards with 90%+ test coverage and zero critical security vulnerabilities
Innovation & Client Impact
Drive measurable business outcomes through AI implementations with documented ROI improvements
Contribute to 2-3 new AI service offerings or accelerators annually
Receive positive client feedback on technical expertise and solution quality
Build reusable frameworks and components that reduce project delivery time by 25%
Team Leadership & Growth
Mentor 2-3 junior engineers with demonstrated skill development and career progression
Establish technical best practices and standards adopted across the engineering team
At Luminexis.AI, we believe the best teams win—by hiring elite talent, putting the customer first, driving innovation, and acting with urgency and integrity.
Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. This job description is subject to change at any time.
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