NAM Info Inc
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position based in Jersey City, NJ, for a long-term project. Requires a PhD, hands-on AI/ML engineering, proficiency in Python and Java, AWS experience, and expertise in LLMs and CI/CD pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New Jersey, United States
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🧠 - Skills detailed
#Agile #Python #Cloud #ML (Machine Learning) #Java #AI (Artificial Intelligence) #Jupyter #Data Science #AWS (Amazon Web Services)
Role description
Job Title: Data Science Engineer
Location: Jersey City, NJ – Onsite – Final round in person
Long Term Project
Phd mandatory
Job Description:
• Hands-on experience in AI/ML engineering or software/data development, with advanced proficiency in Python and good to have Java.
• Hands on AI and Agentic flow expertise
• Experience in Cloud (AWS) and SDLC environment.
• Demonstrated expertise in context and prompt engineering for large language models (LLMs), including prompt design and optimization.
• Experience building and managing sandbox environments (e.g., Jupyter) for experimentation and implementing CI/CD pipelines.
• Strong background in cloud platforms (preferably AWS, Bedrock) and Infrastructure-as-Code tools.
• Familiarity with explainable AI techniques, secure data handling, and effective collaboration in agile, cross-functional teams.
Mandatory Skills:
• Language: Python/Java
• Hands on AI and Agentic flow expertise
• Cloud (AWS)
• SDLC
Job Title: Data Science Engineer
Location: Jersey City, NJ – Onsite – Final round in person
Long Term Project
Phd mandatory
Job Description:
• Hands-on experience in AI/ML engineering or software/data development, with advanced proficiency in Python and good to have Java.
• Hands on AI and Agentic flow expertise
• Experience in Cloud (AWS) and SDLC environment.
• Demonstrated expertise in context and prompt engineering for large language models (LLMs), including prompt design and optimization.
• Experience building and managing sandbox environments (e.g., Jupyter) for experimentation and implementing CI/CD pipelines.
• Strong background in cloud platforms (preferably AWS, Bedrock) and Infrastructure-as-Code tools.
• Familiarity with explainable AI techniques, secure data handling, and effective collaboration in agile, cross-functional teams.
Mandatory Skills:
• Language: Python/Java
• Hands on AI and Agentic flow expertise
• Cloud (AWS)
• SDLC
