AI Success™

Job Description

About the Role
We're looking for a sharp, fast-moving AI/ML engineer who thrives in ambiguity and gets excited about building
things from scratch. You'll be tackling greenfield projects across various ML domains - whether that's NLP,
time series forecasting, recommendation systems, or computer vision.
The path isn't always clear, and your ability to think on your feet and problem-solve in real-time will be critical.
This isn't a role for someone who needs detailed specs and hand-holding. We need someone who can figure it
out, move fast, and ship production-quality code.
What You'll Build
• AI/ML systems from the ground up - you'll own projects from conception to production
• Scalable ML pipelines and data workflows
• Production-grade models serving real users at scale
• MLOps infrastructure for training, deployment, and monitoring
• Internal tooling that makes the team more efficient
• Work primarily in the terminal - if you're comfortable in vim/neovim and live in the CLI, you'll fit right in
Required Skills
Core Technical (Non-Negotiable)
• Python - 3-5+ years production experience, this is your primary language
• AI/ML Production - Built and deployed 2-3+ ML models serving real users, not just experiments
• Cloud Platforms - Experience with AWS, Azure, GCP, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI Services)
• DevOps - Docker and Kubernetes experience
• Databases - SQL (PostgreSQL, MySQL) and NoSQL/vector databases
• Scripting - Proficient in both Bash and PowerShell for automation
ML Domains (Must have strong experience in at least 2-3 of these)
• NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt
engineering, or building LLM applications
• Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring
systems
• Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content
recommendations
• MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar
platforms
• Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data
parallelism
Working Style (Critical)
• CLI-first developer - you're comfortable (and prefer) working in the terminal
• Fast thinker - you can rapidly assess problems, prototype solutions, and iterate
• Problem solver - you don't need the answer handed to you; you figure it out
• Greenfield-ready - you're energized by building new things, not just maintaining existing systems
• Self-directed - you can take ambiguous requirements and turn them into working solutions
Nice to Have
• CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines
• Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, object detection, segmentation, or real-time inference
• Additional Languages: Go or Rust experience for performance-critical components
• Feature stores (Feast, Tecton) or advanced feature engineering
• Model optimization: quantization, pruning, knowledge distillation
• Edge deployment or resource-constrained model deployment
• Experiment frameworks for A/B testing ML models
• Contributions to open-source ML projects
• Real-time streaming data processing (Kafka, Kinesis)
What We're NOT Looking For
• Someone who needs extensive documentation before starting
• Developers who only work with GUIs
• People uncomfortable with ambiguity or rapid change
• Engineers who need constant direction
• Junior developers still learning ML fundamentals
Our Stack
Core: Python | PyTorch/TensorFlow | Scikit-learn | FastAPI/Flask | Git | Bash/PowerShell
ML/AI Tools: MLflow | Airflow/Kubeflow | Azure AI | AWS SageMaker/Bedrock | GCP Vertex AI | OCI AI
Services
Infrastructure: Docker | Kubernetes | AWS/Azure/GCP/OCI | PostgreSQL | Azure DevOps | GitHub Actions
Experience Level
• 3-5+ years in AI/ML engineering roles
• Proven track record of shipping 0-to-1 ML projects
• Production ML experience (not just research or coursework)
Why Join Us
• Real impact: Your work directly affects our product and users
• Technical freedom: Choose your tools, own your decisions
• Fast feedback loops: See your code in production within days, not months
• No red tape: Small team, direct access to leadership
• Cutting edge: Work with latest ML/AI tech, not maintaining legacy systems
• Growth: Own entire ML systems end-to-end and influence technical direction
Interview Process

1. Quick call (30 min) - culture fit, basic technical discussion
2. Technical challenge (take-home, 2-3 hours) - build something real
3. Live problem solving (60 min) - work through a realistic ML problem together
4. Team meet (30 min) - meet potential teammates
To Apply:
Send your resume and briefly describe:
1. The most challenging greenfield ML project you've built
2. Which 2-3 ML domains (from our list) do you have the most production experience in

About Numentica

At Numentica Consulting Group, we are at the forefront of driving digital transformation and innovation. Our comprehensive suite of services is designed to help businesses across various industries navigate the complexities of the modern technological landscape. With a commitment to excellence and a passion for innovation, we craft custom solutions to meet the unique needs of businesses across the Globe.

Our Business Units:

Data Services: Empower businesses with comprehensive Data & Analytics (D&A) expertise, from strategic advisory to seamless implementation.

Mahaaya: Embark on your digital transformation journey with your strategic Microsoft consulting services partner, Mahaaya.

Numentica UI: Bring your vision to life with your Product Engineering partner, Numentica UI, ensuring every facet of your product resonates with quality, innovation, and market relevance.

AI Services: Transform operations, enhance customer engagement, and drive growth through cutting-edge AI solutions.

NuStartz: Accelerate your startup success by building a high-performance technology team using our Build/Operate/Transfer (BOT) model, allowing you to focus on innovation while we handle execution.

NuForz: Develop innovative business solutions leveraging the power of the Salesforce platform with our expert guidance.

NuTalentz: Boost your projects with top-tier IT staffing. Top companies and startups trust NuTalentz to staff technology positions critical to their software project

Industry

IT & Software

Company Size

51-200 employees

Headquarters

Torrance, CA

Year Founded

2008

Website

numentica.com

Social Media

AI / ML Engineer

Job Description

About Numentica