Senior AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer with 4+ years of experience in data science, machine learning, and generative AI. The contract is C2C, based on the East Coast of the USA, offering competitive pay. Key skills include Python, ML Ops, and cloud platforms.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Corp-to-Corp (C2C)
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Boston, MA
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🧠 - Skills detailed
#Azure #TensorFlow #Data Science #Monitoring #GCP (Google Cloud Platform) #Python #AWS (Amazon Web Services) #Cloud #Databricks #Deployment #ML (Machine Learning) #AI (Artificial Intelligence) #PyTorch #Hugging Face #ML Ops (Machine Learning Operations) #Scala
Role description
TechYard Recruitment are working for a AI Solutions Consultancy who are a key player in the Databricks Market. Based in the East Coast of the USA and working in a C2C capacity we are seeking a Senior AI Engineers with strong expertise in data science, machine learning, and generative AI to join their team. The ideal candidate will have proven experience building, deploying, and maintaining AI/ML solutions in production environments while also engaging directly with customers to deliver impactful results. Key Responsibilities β€’ Design, develop, and deploy end-to-end machine learning and generative AI solutions in production. β€’ Lead the implementation of advanced AI models, from experimentation to scalable deployment. β€’ Own ML Ops pipelines, ensuring model performance, reliability, and monitoring in production. β€’ Collaborate with cross-functional teams to translate business needs into AI-powered solutions. β€’ Serve as a customer-facing technical expert, communicating complex AI concepts in a clear and actionable way. β€’ Continuously evaluate emerging AI/ML technologies and recommend their application to real-world problems. Qualifications β€’ 4+ years of hands-on experience in data science, machine learning, and generative AI. β€’ Strong background in productional modeling and deployment of ML systems. β€’ Expertise in ML Ops practices, tools, and infrastructure. β€’ Proven track record of implementing and scaling AI solutions in production. β€’ Excellent communication and customer-facing skills, with the ability to engage technical and non-technical stakeholders. β€’ Proficiency in Python and common ML/AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, Scikit-learn). β€’ Experience with cloud platforms (AWS, Azure, GCP). Why Join Us? β€’ Opportunity to work on cutting-edge AI/ML and generative AI projects. β€’ Collaborate with a talented, mission-driven team. β€’ Direct impact on high-visibility customer solutions. β€’ Competitive compensation and growth opportunities.