Location: San Francisco, Bay Area, CA
Employment Type: Contract
About UsSustainable 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 RoleOur 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 scalable data pipelines to preprocess and transform large datasets for AI/ML applications.
- Work closely with data scientists to translate research into production-ready ML solutions.
- 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, Google Cloud Platform, 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 Scikit-learn.
- Proficiency in data manipulation and processing libraries (Pandas, NumPy, SciPy).
- Strong understanding of predictive analytics, deep learning, and AI model development.
- Hands-on experience with big data processing technologies, including Spark, Hadoop, or Databricks.
- Proficiency in cloud platforms (AWS, Google Cloud Platform, or Azure) and MLOps best practices.
- Experience working with databases such as PostgreSQL, MySQL, MongoDB, or NoSQL databases.
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Experience with API development and integrating AI models into scalable applications.
- Proficiency in JavaScript and front-end frameworks (React, Vue, or Angular) is a plus.
- Strong problem-solving skills and ability to communicate complex technical concepts effectively.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or equivalent experience.
Why Join Us?- Work with a global high-tech AI-driven company leading in data science and machine learning.
- Engage in high-impact AI/ML projects that drive innovation and business intelligence.
- Competitive salary and career growth opportunities.
- We offer full benefits, flexible PTO, and amazing company culture!
- Be part of a diverse, inclusive, and collaborative work environment that fosters creativity and excellence.
How to ApplyIf you're an experienced Senior Python Developer passionate about AI, machine learning, and data-driven innovation, we want to hear from you!
Apply today by submitting your resume and a brief cover letter detailing your relevant experience.
Sustainable Talent is an Equal Opportunity Employer and is committed to fostering an inclusive workplace. We prohibit discrimination and harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic under applicable laws.
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