Applied AI / Machine Learning Engineer

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Position Overview

We are seeking a motivated Applied AI / Machine Learning Engineer to help develop AI-driven applications supporting advanced manufacturing and industrial process improvement initiatives.

In this role, you will design and build machine learning models, AI-assisted applications, and analytical systems that leverage operational and manufacturing data to improve process understanding, optimization, and decision-making.

Working alongside software engineers and manufacturing specialists, you will help build practical AI systems with measurable operational impact in real-world industrial environments.

Key Responsibilities

• Design, build, and maintain AI/ML applications supporting industrial and manufacturing process development
• Develop predictive models, analytical tools, and AI-assisted workflows using operational and manufacturing data
• Perform data analysis and feature engineering to support model development and optimization
• Fine-tune and deploy LLMs and AI-assisted systems for domain-specific industrial applications
• Develop and manage vector database and retrieval systems supporting RAG-based applications
• Collaborate with data systems engineers to define data structures, pipelines, and deployment requirements
• Validate and optimize AI model performance against real-world operational outcomes
• Create lightweight user-facing interfaces or APIs supporting AI-assisted workflows
• Document model architectures, training methods, testing results, and technical workflows
• Participate in experimentation, troubleshooting, and continuous improvement activities

Your Skills and Experience

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related technical field
• 5+ years of relevant professional experience in AI/ML engineering, software engineering, or data science
• Strong proficiency in Python programming
• Experience developing and deploying machine learning models in production or operational environments
• Familiarity with machine learning concepts, NLP, neural networks, and model evaluation techniques
• Experience working with SQL databases (PostgreSQL preferred)
• Ability to work collaboratively with cross-functional engineering teams
• Strong problem-solving capability and ability to work within partially defined technical problem spaces
• Strong written and verbal communication skills in English

Preferred Qualifications

• Experience with AI orchestration or pipeline frameworks (Haystack AI, LangChain, or similar)
• Experience with vector databases (ChromaDB, Weaviate, Pinecone, Milvus, or FAISS)
• Experience fine-tuning and deploying open-source LLMs
• Familiarity with retrieval-augmented generation (RAG) systems
• Experience with model optimization for edge deployment
• Familiarity with Docker, Linux, and containerized environments
• Experience building user-facing AI-assisted applications or interfaces
• Experience applying AI/ML within manufacturing, industrial, or operational environments
• Experience working in international or cross-functional engineering teams

Technical Skills Summary

LANGUAGES

• Python (primary), SQL, JavaScript/TypeScript (basic)

AI/ML FRAMEWORKS

• Haystack AI, LangChain, Hugging Face Transformers, PyTorch or TensorFlow

VECTOR DATABASES

• ChromaDB, Weaviate, FAISS, Pinecone, or similar

LLM TOOLS

• Local LLM hosting (Ollama, vLLM, llama.cpp)
• Fine-tuning techniques (LoRA, QLoRA)
• Model formats: GGUF, ONNX

EDGE & OPTIMIZATION

• Quantization, pruning, distillation, ONNX Runtime, TensorRT

DATABASES

• PostgreSQL, SQL querying and schema design

FRONT-END

• Basic UI/API development using frameworks such as Django, Nuxt.js, or Vue.js

INFRASTRUCTURE

• Docker, Docker Compose, Linux, on-premise/edge deployment environments

Soft Skills

• Intellectual curiosity and eagerness to learn industrial and manufacturing processes
• Ability to explain technical concepts clearly to non-technical stakeholders
• Self-motivated with ability to work independently and manage priorities
• Collaborative mindset and comfort working in small, cross-functional engineering teams
• Attention to detail and commitment to reproducible, well-documented work

Education

• Required: Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related STEM field
• Preferred: Relevant graduate coursework or Master’s degree
• Relevant bootcamp certificates, portfolio projects, open-source contributions, or deployed AI systems are valued

Why You'll Love Working Here

• 13th month salary 
• 18 days of paid time off per year. 
• Holiday pay 
• Professional development opportunities. 
• Annual company trip. 
• Private health insurance + annual health check