Machine Learning Engineer

Company Description

DigsFact is an AI-driven company reimagining the future with innovative solutions for property inspections and financial crime prevention. Our product InstaBud enables virtual property inspections through AI analysis of videos, helping insurers resolve claims with over 97% accuracy and saving time and costs. The PreCogs, our AI-powered tool, prevents financial crime like fraud and money laundering with a 0.98 F1 Score by analyzing transactions across various payment methods globally and applying a combination of Agentic AI and Generative AI. These advanced AI technologies deliver efficiency, security, and exceptional user experiences.

Role Description

This is a full-time remote role for a Machine Learning Engineer, with specialization in Vision Learning Models or VLMs. Responsibilities include designing, implementing, and optimizing vision learning models, particularly in domains such as deep learning frameworks, and programming skills in Python, C++ or similar language. The Machine Learning Engineer will work with cross-functional teams to enhance AI products, validate model performance, and contribute to the development of cutting-edge solutions like InstaBud and The PreCogs.

Qualifications - MUST HAVE:

• Strong foundation in Machine Learning, Deep Learning, and Algorithms
• Expertise in Core Frameworks like Hugging Face (Transformers, PEFT, TRL), LangChain, LlamaIndex, PyTorch, TensorFlow, etc.
• Experience in Computer Science principles and programming - Python, C++ or similar
• Expertise in techniques like fine-tuning (LoRA, QLoRA), RAG (Retrieval-Augmented Generation), prompt engineering, quantization (GGUF, AWQ), and / or vector databases (Pinecone, ChromaDB, Weaviate).
• Experience with deploying and optimizing AI/ML models for production - Ollama, vLLM, TGI (Text Generation Inference), Triton Inference Server, FastAPI, and / or REST API
• Excellent problem-solving and analytical skills
• Ability to work collaboratively in a distributed, remote team environment

Qualifications - NICE TO HAVE:

• Familiarity or experience with concepts like LLMOps, MLOps, Model Monitoring, Performance Monitoring, Drift Detection (Concept Drift, Data Drift), Observability
• Working knowledge or experience with Tools like Prometheus, Grafana, MLflow, Arize AI, WhyLabs, Evidently AI
• Experience with Amazon CloudWatch, SageMaker Model Monitor, or AWS X-Ray
• Master’s or Ph.D. in Computer Science, AI, Data Science, or related field preferred
• Experience in financial technology or property claim technologies is a plus