.png)
LM
Luis Minvielle
How to Become an AI Engineer
almost 3 years ago
AI/ML Engineer
TechniPros, LLC
Columbia, SC, United States
10 days ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Computer Vision
Microsoft Azure
Business Software
Python (Programming Language)
Machine Learning
Scrum Methodology
Tensorflow
SQL Databases
Google Cloud
+16 more
Feature Engineering
Pytorch
Large Language Models
Snowflake
Apache Spark
Model Validation
Git
Pandas
Pyspark
Scikit Learn
Kubernetes
Machine Learning Operations
Restful APIs
Data Pipelines
Docker
Databricks
Job description
- Develop, train, and deploy machine learning models for business applications.
- Build NLP and computer vision solutions using modern AI frameworks.
- Implement data pipelines for model training and inference.
- Perform feature engineering, model evaluation, and optimization.
- Collaborate with product, engineering, and analytics teams.
- Document AI solutions and follow MLOps best practices.
Requirements
- 6+ years of AI/ML development experience.
- Strong Python programming skills.
- Experience with TensorFlow, PyTorch, Scikit-learn, and Pandas.
- Hands-on experience with LLMs, OpenAI APIs, Langchain, and RAG.
- Experience with AWS, Azure, or Google Cloud Platform.
- SQL, Git, Docker, and REST APIs.
Preferred Skills
- MLflow or Kubeflow.
- Apache Spark/PySpark.
- Vector Databases (Pinecone, ChromaDB, FAISS).
- Kubernetes.
- Snowflake or Databricks. Agile/Scrum experience and strong communication skills
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists6:21 min
Investigating push inefficiencies with upstream Git experts
Jonathan Creamer · Coffee With Developers
2:07 min
Inspecting default bridge architectures and custom Docker networks
Oliver Seitz · World Congress 2025
2:03 min
Accelerating pandas dataframes using cudf module plugins
Ankit Patel · World Congress 2024
7:10 min
Exploring pathways into the machine learning engineering field
Jose Luis Latorre Millas · LIVE
56 sec
Favorite git commands and the importance of patch commits
Eileen Uchitelle +1 · Coffee With Developers
2:37 min
Optimizing technical profiles for AI sourcing and recruitment
Mina Golesorkhi · World Congress 2026 Europe
Videos
See allRelated articles
See all
.gif)
BB
Benedikt Bischof
MLOps And AI Driven Development
over 4 years ago
BR
Benjamin Ruschin
Navigating the AI Shift
about 1 year ago
.gif)
BB
Benedikt Bischof
MLOps – What’s the deal behind it?
almost 4 years ago
.png)
LM
Luis Minvielle
What Are Large Language Models?
almost 3 years ago
CH
Chris Heilmann
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
almost 2 years ago