Senior ML Engineer — Production AI & Scalable Systems

dicedemo; Boston (AL); On-site; USD 130,000 - 190,000; Full time

Job summary

dicedemo is seeking a Senior Machine Learning Engineer to design, build, deploy, and scale machine learning solutions that solve complex business problems. This role sits at the intersection of ML, software engineering, data, and AI, taking models from experimentation through production, and requires strong ML expertise paired with robust software practices.

You will design end-to-end ML pipelines, develop solutions using supervised and unsupervised learning, deep learning, NLP, and Generative

Qualifications

• 5+ years of professional experience in Machine Learning Engineering, Software Engineering, Data Science, or a related technical field
• Strong programming experience with Python
• Demonstrated experience developing and deploying machine learning models into production
• Strong knowledge of machine learning algorithms, statistics, model evaluation, and feature engineering
• Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Experience building scalable production software and APIs
• Experience with AWS, Azure, and/or GCP
• Strong understanding of data structures, algorithms, software engineering principles, and distributed systems
• Experience with SQL and large-scale data processing
• Experience with containerization and deployment technologies such as Docker and Kubernetes
• Strong communication skills and ability to collaborate across engineering, data, and product teams

Responsibilities

• Design, develop, and deploy machine learning models and AI-powered applications into production
• Build end-to-end ML pipelines covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring
• Develop solutions using supervised and unsupervised learning, deep learning, NLP, recommendation systems, and/or Generative AI
• Build and optimize applications leveraging Large Language Models (LLMs)
• Develop solutions involving RAG, embeddings, vector search, fine-tuning, and prompt/model optimization
• Train, evaluate, fine-tune, and optimize machine learning models
• Develop production-quality software primarily using Python
• Work with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or JAX
• Deploy and operate models in cloud environments such as AWS, Azure, or GCP
• Build scalable APIs and services for real-time and batch model inference
• Partner with Data Scientists, Data Engineers, Software Engineers, and Product teams to translate business problems into ML solutions
• Establish model evaluation, testing, monitoring, and performance standards
• Improve model accuracy, latency, scalability, reliability, and cost efficiency
• Mentor engineers and contribute to ML engineering standards, architecture, and best practices
• Evaluate emerging AI/ML technologies and determine where they can provide meaningful business value

Skills

Python

ML Engineering

Production ML

Distributed systems

SQL

Cloud

APIs

Docker

Kubernetes

Communication

Tools

PyTorch

TensorFlow

scikit-learn

JAX

Hugging Face

LangChain

LlamaIndex

OpenAI APIs

MLflow

Kubeflow

SageMaker

Vertex AI

CUDA

Job description

dicedemo is seeking a Senior Machine Learning Engineer to design, build, deploy, and scale machine learning solutions that solve complex business problems. This role sits at the intersection of ML, software engineering, data, and AI, taking models from experimentation through production, and requires strong ML expertise paired with robust software practices.

You will design end-to-end ML pipelines, develop solutions using supervised and unsupervised learning, deep learning, NLP, and Generative