Signature IT World Inc

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a 12-month contract, offering W2 pay. Remote work is available. Requires 3+ years in Python, machine learning frameworks, data preprocessing, and automation. Preferred skills include networking technologies and MLOps experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 19, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #Automation #AI (Artificial Intelligence) #Python #PyTorch #Security #Process Automation #TensorFlow
Role description
Hi, Trust you are doing well! Please do share your resume at abhishek.t@sitwinc.com if you are looking for this role... Job Tittle : Machine Learning Engineer Work Location & Reporting Address: Remote Contract duration: 12 months only W2 (No C2C AND 1099) We have an urgent need for an ML engineer in US Need profiles immediately May we please check if any fitting profiles we may consider. 3+ years of hands-on experience in the below mentioned technologies. Technical Skills • Proficiency in Python and experience with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, VLLM, Llama). • Knowledge of data preprocessing, feature engineering, and fine-tuning ML models. • Familiarity with RESTful APIs for interacting with third-party tools and services. • Experience in developing scripts or tools for process automation. Problem-Solving Skills • Strong ability to identify inefficiencies in workflows and propose automated solutions. • Analytical skills to evaluate the performance of automated tools and pipelines. Communication and Collaboration • Effective collaboration skills to work with cross-functional teams and ensure alignment on project goals. • Strong written and verbal communication skills to document workflows and tools clearly. Optional Skills (Preferred but not mandatory): • Domain knowledge in networking technologies (e.g., routing, switching, security). • Experience with MLOps tools and infrastructure.