ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Engineer on a remote contract, requiring expertise in Machine Learning, Deep Learning, and Computer Vision. Key skills include PyTorch, TensorFlow/Keras, and NLP. Familiarity with AWS, Azure, and data engineering is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
May 22, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#GIT #Keras #NLP (Natural Language Processing) #Python #TensorFlow #Cloud #GCP (Google Cloud Platform) #Classification #Compliance #Data Engineering #Jira #PyTorch #Docker #ML (Machine Learning) #Conda #Deep Learning #GitHub #Jenkins #AWS (Amazon Web Services) #Azure
Role description
Hello Professionals,
We are looking for an ML Engineer for a remote opportunity and contract. Please find the below job description and apply for the job if you are interested.
Roles: ML Engineer
Location: Remote
Mode: Contract
Primary Skills:
• Machine Learning, Deep Learning, Computer Vision, Image and Video Processing, PyTorch, TensorFlow/Keras, Natural Language Processing (NLP), GenAI, State-of-the-Art (SOTA) Techniques, Video Segmentation, Object and Face Detection, Audio Processing, Text Processing, Multimodal Integration
Secondary Skills:
• Python, Dashboard Creation, AWS/ Azure/Google Cloud Platform (GCP), Git, GitHub, JIRA, Confluence, Slack, Jenkins, Docker.
Job Description :
• Custom classification detection recognition Models across stills and videos
• Custom embeddings models
• Metrics driven Model selection and evaluations
• Internal Benchmark establishment with curated dataset
• Drive dataset curation workstreams including data engineering with existing data
• and human labeling operations
• Implement papers on SOTA methodologies on video segmentation video
• classification object face detection
• Strong command of pytorch or tensorflowkeras
• Incorporation of Multimodal processing including audio and text
• Work with stakeholders directly to translate business problems to ML problems
• Work with legal teams on model compliance
Hello Professionals,
We are looking for an ML Engineer for a remote opportunity and contract. Please find the below job description and apply for the job if you are interested.
Roles: ML Engineer
Location: Remote
Mode: Contract
Primary Skills:
• Machine Learning, Deep Learning, Computer Vision, Image and Video Processing, PyTorch, TensorFlow/Keras, Natural Language Processing (NLP), GenAI, State-of-the-Art (SOTA) Techniques, Video Segmentation, Object and Face Detection, Audio Processing, Text Processing, Multimodal Integration
Secondary Skills:
• Python, Dashboard Creation, AWS/ Azure/Google Cloud Platform (GCP), Git, GitHub, JIRA, Confluence, Slack, Jenkins, Docker.
Job Description :
• Custom classification detection recognition Models across stills and videos
• Custom embeddings models
• Metrics driven Model selection and evaluations
• Internal Benchmark establishment with curated dataset
• Drive dataset curation workstreams including data engineering with existing data
• and human labeling operations
• Implement papers on SOTA methodologies on video segmentation video
• classification object face detection
• Strong command of pytorch or tensorflowkeras
• Incorporation of Multimodal processing including audio and text
• Work with stakeholders directly to translate business problems to ML problems
• Work with legal teams on model compliance
