Unisys
Senior Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include MLOps tools, big data technologies, programming in Python, R, or Java, and relevant certifications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#Programming #Mathematics #Azure #AWS (Amazon Web Services) #Deployment #Big Data #Databricks #ML (Machine Learning) #AI (Artificial Intelligence) #Cloud #Java #MLflow #Python #R #Hadoop #NLP (Natural Language Processing) #Spark (Apache Spark) #Statistics
Role description
Preferred qualifications:
Experience with MLOps tools (e.g., MLFlow, Kubeflow).
Knowledge of big data technologies (Spark, Hadoop, Databricks).
Background in NLP, computer vision, or other advanced AI techniques.
Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).
Required qualifications:
Strong programming skills in Python, R, or Java.
Hands-on experience with machine learning algorithms and frameworks.
Familiarity with major cloud platforms for AI deployment.
Strong analytical and problem‑solving skills.
Solid foundation in mathematics and statistics.
#LI-CGTS
TS-2652
Preferred qualifications:
Experience with MLOps tools (e.g., MLFlow, Kubeflow).
Knowledge of big data technologies (Spark, Hadoop, Databricks).
Background in NLP, computer vision, or other advanced AI techniques.
Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).
Required qualifications:
Strong programming skills in Python, R, or Java.
Hands-on experience with machine learning algorithms and frameworks.
Familiarity with major cloud platforms for AI deployment.
Strong analytical and problem‑solving skills.
Solid foundation in mathematics and statistics.
#LI-CGTS
TS-2652
