Senior Python Developer- AI/ML
AI summary of the role
Senior Python Developer to build and optimize applications for AI/ML initiatives at a global high-tech client.
What you’ll do
- Develop and optimize Python-based applications that support data science and machine learning initiatives.
- Implement and deploy machine learning models using TensorFlow, PyTorch, and Scikit-learn.
- Design and build scalable data pipelines to preprocess and transform large datasets for AI/ML applications.
- Integrate ML models into cloud-based platforms (AWS, GCP, Azure) and microservices architectures.
What you’ll bring
- 7+ years of software engineering experience with a strong focus on Python development.
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Proficiency in data manipulation and processing libraries (Pandas, NumPy, SciPy).
- Hands-on experience with big data processing technologies, including Spark, Hadoop, or Databricks.
Technologies
Python · TensorFlow · PyTorch · Scikit-learn · Pandas · NumPy · Spark · Hadoop · Databricks · AWS · GCP · Azure
Source and classification
Internal deployment & tooling · Evidence for this classification:
Location: San Francisco, Bay Area, CA Employment Type: Contract About Us Sustainable Talent provides flexible workforce solutions, connecting top-tier talent with leading global organizations. We partner with some of the world’s most innovative companies to help them scale their teams with the right expertise. This opportunity is with one of our global high-tech clients, a leader in AI-driven technology and digital transformation. Our client is at the forefront of artificial intelligence, leveraging cutting-edge data science and machine learning to solve complex challenges. About the Role Our client is seeking a Python Developer to develop and optimize applications that support machine learning and data science initiatives. You’ll work on building scalable data pipelines, deploying AI models, and ensuring performance and efficiency in production environments. Collaboration with data
More from the job description
Location: San Francisco, Bay Area, CA Employment Type: Contract About Us Sustainable Talent provides flexible workforce solutions, connecting top-tier talent with leading global organizations. We partner with some of the world’s most innovative companies to help them scale their teams with the right expertise. This opportunity is with one of our global high-tech clients, a leader in AI-driven technology and digital transformation. Our client is at the forefront of artificial intelligence, leveraging cutting-edge data science and machine learning to solve complex challenges. About the Role Our client is seeking a Python Developer to develop and optimize applications that support machine learning and data science initiatives. You’ll work on building scalable data pipelines, deploying AI models, and ensuring performance and efficiency in production environments. Collaboration with data scientists and cross-functional teams will be key to transforming research into real-world solutions. If you’re passionate about AI, cloud technologies, and writing clean, efficient code, this is an exciting opportunity to contribute to cutting-edge innovation. What You’ll Do Develop and optimize Python-based applications that support data science and machine learning initiatives. Implement and deploy machine learning models using TensorFlow, PyTorch, and Scikit-learn. Design and build scala [... source excerpt omitted ...] olutions. Develop predictive analytics and deep learning solutions to enhance business intelligence and decision-making. Ensure model performance optimization and scalability in production environments. Integrate ML models into cloud-based platforms (AWS, GCP, Azure) and microservices architectures. Write clean, efficient, and well-documented Python code following software engineering best practices. Collaborate with cross-functional teams to drive innovation and improve AI-driven products. What We’re Looking For 7+ years of software engineering experience with a strong focus on Python development. Expertise in machine learning frameworks such as TensorFlow, PyTorch, and Sc
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