Demo

ML Engineer

Aroha Technologies
Atlanta, GA Full Time
POSTED ON 2/4/2025
AVAILABLE BEFORE 4/4/2025

Job Details

Job Title: ML Engineer
Job Location: Atlanta GA or Los Angeles CA,

Note :Need 10 Years of exp
Skills required
- Strong understanding of machine learning algorithms and techniques, such as supervised and unsupervised learning, deep learning. Deep knowledge in NLP and GenAI.
- Strong programming skills in languages such as Python. Must be an expert in writing ML code.
- Working experience with full-stack web development (Flask, Panel).
- Proficiency in data manipulation and analysis using SQL and Spark.
- Hands-on experience in state-of-the-art ML and DL as applied to large-scale datasets.
- Hands-on experience with ML frameworks and libraries (PyTorch, Scikit-learn, NLTK, llama-index, lingchi).
- Solid understanding of feature engineering and model evaluation techniques.
- Hands-on experience with cloud computing platforms (AWS).
- Hands-on experience with data orchestration tools and CI/CD (Github).
- Expert in deploying and monitoring ML models and can take care of MLOps.
- Proven experience as a Machine Learning Engineer with minimum of 5 years of relevant experience.
Preferred Qualifications:
- We are looking for someone with 5-10 years of experience in ML, GenAI, and software development.
- Working experience with big data technologies (Spark).
- Working knowledge of cloud computing platforms (AWS, Databricks).
- Experience with cloud ML platforms (Databricks ML).
- Hands-on experience with data orchestration tools and CI/CD (Databricks Workflow, MLFlow, GitHub Action, GitLab).
- Working knowledge of full-stack web development using FastAPI, Panel, Flask.
- Expert in deploying and monitoring ML models in mass production setting.
- Ability to drive projects.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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