AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a 6-month contract, offering a pay rate of "competitive salary." Work is remote. Requires 5+ years of experience in ML, Gen AI, Python, Docker, Kubernetes, and public cloud (preferably GCP).
🌎 - Country
United States
πŸ’± - Currency
Unknown
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
May 22, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Phoenix, AZ 85032
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Langchain #Neural Networks #Public Cloud #Leadership #Programming #API (Application Programming Interface) #Python #TensorFlow #Data Science #SQL (Structured Query Language) #Cloud #GCP (Google Cloud Platform) #Spark (Apache Spark) #HTTP & HTTPS (Hypertext Transfer Protocol & Hypertext Transfer Protocol Secure) #Data Ingestion #Scala #Storage #Data Pipeline #PyTorch #Docker #Kubernetes #ML (Machine Learning) #Base #Flask
Role description
About Us: NucleusTeq is one of the fastest growing digital engineering, cloud, data & AI solutions company empowering enterprises with cutting-edge technology solutions. NuoData (a product of NucleusTeq) is at the forefront of enterprise data modernization, offering a world-class Open Lake-house and AI-driven analytics solutions. We are seeking a dynamic and results-driven AI ML Engineer with strong ML & Gen AI experience for NucleusTeq (www.nucleusteq.com (http://www.nucleusteq.com/) ). This position requires at least 5 years of relevant experience AI/ML Engineer – Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage. Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow, or similar platforms. Experience implementing and supporting end-to-end Machine Learning workflows and patterns. Expert level programming skills in Python and experience with Data Science and ML packages and frameworks. Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices. Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks. Experience and knowledge in the most recent advancements in Gen AI, including Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs). Experience building AI/ML products using technologies such as LLMs, neural networks and others. Experience with RAG and Supervised Tuning techniques. Strong distributed systems skills and knowledge. Development experience of at least one public cloud provider, Preferably GCP. Excellent analytical, written, and verbal communication skills. Tech Stack - Python, SQL, Docker & Kubernetes, Fast API, Flask, MLOps, Machine Learning, LLM's, LangChain or similar orchestrator, Vector DB or similar, GCP, Google AutoML, Vertex AI & Build tools What We Offer: Competitive base salary with performance-based incentives. Employment benefits like health Insurance, PTOs, and 401K match up to 5% High-growth, entrepreneurial environment with direct visibility to executive leadership. The ability to shape go-to-market strategies and drive strategic initiatives. A culture that values innovation, collaboration, and customer success.