Machine Learning Developer - II
Machine Learning Developer - II
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Job Description
Were looking for a skilled Machine Learning Developer to play a key role in driving datadriven decisionmaking across our digital platform. This is a unique opportunity to contribute to impactful machine learning initiatives as part of a collaborative forwardthinking team.
If youre ready to make a lasting impact and thrive in a longterm contract role we want to hear from you. Apply now to be part of our journey toward innovation and excellence!
Job Responsibilities
- Develop Scalable Data Pipelines: Collaborate with engineers to build efficient data pipelines and architectures incorporating MLOps best practices for large language models (LLMs).
- Data Handling & Processing: Support data collection analysis content understanding storage and processing tasks.
- Model Development: Write code for training testing and deploying machine learning models.
- Model Monitoring: Monitor and troubleshoot machine learning models to maintain accuracy and performance.
- Requirements Analysis: Perform requirements analysis collaborate with team members and document solutions.
- Data Management: Work with largescale data sets and manage data flow between systems.
- Batch Data Processing: Organize and process large batches of text and geometric data.
- Data Insights & Visualization: Communicate findings through quantitative analysis visuals and actionable insights.
Minimum Qualifications
- Educational Background: MS in Machine Learning Artificial Intelligence Mathematics Statistics Computer Science or a related field.
- Experience: 5 years of experience in machine learning engineering or a related field.
- Deep Learning Expertise: Handson experience with training deep neural networks (e.g. CNNs transformers) and proficiency with at least one deep learning framework such as PyTorch or TensorFlow.
- LLM Knowledge: Experience with large language models (LLMs) embedding models vector databases and RetrievalAugmented Generation (RAG) systems.
- Data Modeling & Processing: Experience with data modeling architecture and processing including handling 2D/3D geometric data.
- Cloud & Platform Proficiency: Proficiency in AWS cloud services including SageMaker Studio for scalable data processing and model development.
- Algorithm Understanding: Strong understanding of fundamental computer science algorithms and their scalability.
- Programming Skills: Proficient in coding covering both procedural and dataanalyticsoriented languages (like Python).
- SolutionOriented Mindset: Ability to convert theoretical concepts into practical prototypeready solutions.
APPLY NOW!
NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race colour religion sex sexual orientation gender identity national origin disability or status as protected veterans.
Employment Type
Full Time
