

AI Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is an entry-level AI Machine Learning Engineer position for a contract length of "unknown" with a pay rate of "unknown." Required skills include experience with Azure, Python, and ML frameworks. Familiarity with IoT and cloud technologies is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
440
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ποΈ - Date discovered
June 24, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
San Diego, CA
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π§ - Skills detailed
#SciPy #GIT #RNN (Recurrent Neural Networks) #Data Engineering #AI (Artificial Intelligence) #Jira #Langchain #Lambda (AWS Lambda) #Matplotlib #AWS (Amazon Web Services) #IoT (Internet of Things) #Keras #NLTK (Natural Language Toolkit) #NumPy #Datadog #R #MongoDB #Version Control #ML (Machine Learning) #Spark (Apache Spark) #BERT #S3 (Amazon Simple Storage Service) #POSTMAN #Python #Cloud #Pandas #PostgreSQL #GitHub #Azure #Jupyter #PyTorch #GCP (Google Cloud Platform) #Microsoft Power BI #Programming #"ETL (Extract #Transform #Load)" #TensorFlow #BI (Business Intelligence) #EC2 #Transformers #Linux #Databricks #Deployment #RDS (Amazon Relational Database Service) #AWS EC2 (Amazon Elastic Compute Cloud) #SQL (Structured Query Language) #Azure Databricks #Visual Studio #C++ #MySQL
Role description
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AI Machine Learning Engineer
We are searching for software engineers with knowledge of AI/ML. You will be involved in working on a team who is responsible for utilizing plasma and optics to impact a major manufacturing component that builds hundreds of thousands of widgets an hour.
This is an entry level position where you will be at the forefront of designing and developing cutting edge GenAI applications.
Responsibilities:
β’ Work closely with data engineers and business stakeholders to communicate AI recommendations to senior management.
β’ Design, build and deploy state-of-the-art AI/ML models to solve complex problems.
β’ Understand key performance metrics to highlight AI/ML solution operational issues and drive improvement.
β’ Work with cross functional teams of engineers and infrastructure partners to implement solutions.
β’ Research and present ideas to improve the teams technical capabilities.
Qualifications:
β’ We are looking for someone with some of the following:
β’ Experienc with Azure, Azure Databricks
β’ Experiene with IoT
β’ Programming Language: C++, Python, Shell, SQL, R.
β’ IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat.
β’ Experience with one of ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, langchain,llama-index,kore.ai.
β’ Experience with one of DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers.
β’ BERT, T5, Sentence Transformers, Foundational models.
β’ Packages: Pandas, NumPy, Spark, Matplotlib, SciPy.
β’ Cloud Technologies: AWS (EC2, S3, RDS, ECS, Lambda), Azure(VM, Functions, ACR, AKS), Digital Ocean, GCP, Paperspace.
β’ Database: MySQL, PostgreSQL, MongoDB, ChromaDB, Pinecone, SQLite.
β’ Web Frameworks and Web Servers/ Deployment.
β’ Miscellaneous Tools and Technologies:
β’ JIRA, Auto Gluon, GitHub Actions, Github Issues, Datadog, MS Power BI, Postman, Locust, Stream lit, CUDA, cuDNN, TensorRT
β’ Version Control: Git, GitHub, DVC (Data Version Control)
β’ Operating Systems: Windows, Linux, Mac