

Senior Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in Weehawken, NJ, for 3+ months, offering a competitive pay rate. Key skills include strong Python, AI agents, LLM, and Azure expertise. An Azure Certified AI Practitioner is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 16, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Weehawken, NJ
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π§ - Skills detailed
#Datasets #Scala #Synapse #NLP (Natural Language Processing) #Python #Data Engineering #Automation #Data Pipeline #Databricks #AI (Artificial Intelligence) #ML (Machine Learning) #Azure Machine Learning #Azure #Databases #"ETL (Extract #Transform #Load)"
Role description
Position: Lead Machine Learning Engineer
Location: Weehawken, NJ - Please prioritize candidates who are local to Weehawken, NJ.
Duration: 3+ months
Main skill: Python, AI agents, LLM, Azure (Very Strong Python Experience)
Position Overview:
We are seeking a highly skilled and experienced Lead/ Senior Machine Learning Engineer with expertise in Python and hands-on experience designing innovative solutions using Agentic systems and modeling large language models (LLMs). The ideal candidate will hold an Azure Certified AI Practitioner certification and demonstrate deep knowledge of Azureβs AI services and data engineering tools. As a critical member of our team, you will work to develop scalable data solutions, leverage cutting-edge AI technologies, and build intelligent systems that drive business innovation.
Key Responsibilities:
AI and Agentic Solutions Development:
β’ Design, develop, and implement agentic systems for real-time decision-making processes.
β’ Integrate multimodal AI agents capable of proactive problem-solving using machine learning and automation.
β’ Collaborate with stakeholders to architect solutions that align with organizational goals.
LLM Development and Optimization:
β’ Build, customize, and fine-tune large language models (LLMs) for diverse business applications.
β’ Research and experiment with LLM architectures to optimize performance for specific use cases like NLP, conversational AI, and summarization.
β’ Deploy LLMs efficiently on Azure services such as Azure Machine Learning, OpenAI Service, and Cognitive Services.
Data Engineering Expertise:
β’ Architect and maintain complex data pipelines and frameworks on Azure.
β’ Work with relational and non-relational databases to pre-process and manage datasets for AI models.
β’ Leverage Azure tools like Data Factory, Synapse Analytics, and Databricks for ETL processes and advanced analytics workflows.
Position: Lead Machine Learning Engineer
Location: Weehawken, NJ - Please prioritize candidates who are local to Weehawken, NJ.
Duration: 3+ months
Main skill: Python, AI agents, LLM, Azure (Very Strong Python Experience)
Position Overview:
We are seeking a highly skilled and experienced Lead/ Senior Machine Learning Engineer with expertise in Python and hands-on experience designing innovative solutions using Agentic systems and modeling large language models (LLMs). The ideal candidate will hold an Azure Certified AI Practitioner certification and demonstrate deep knowledge of Azureβs AI services and data engineering tools. As a critical member of our team, you will work to develop scalable data solutions, leverage cutting-edge AI technologies, and build intelligent systems that drive business innovation.
Key Responsibilities:
AI and Agentic Solutions Development:
β’ Design, develop, and implement agentic systems for real-time decision-making processes.
β’ Integrate multimodal AI agents capable of proactive problem-solving using machine learning and automation.
β’ Collaborate with stakeholders to architect solutions that align with organizational goals.
LLM Development and Optimization:
β’ Build, customize, and fine-tune large language models (LLMs) for diverse business applications.
β’ Research and experiment with LLM architectures to optimize performance for specific use cases like NLP, conversational AI, and summarization.
β’ Deploy LLMs efficiently on Azure services such as Azure Machine Learning, OpenAI Service, and Cognitive Services.
Data Engineering Expertise:
β’ Architect and maintain complex data pipelines and frameworks on Azure.
β’ Work with relational and non-relational databases to pre-process and manage datasets for AI models.
β’ Leverage Azure tools like Data Factory, Synapse Analytics, and Databricks for ETL processes and advanced analytics workflows.