Senior Python Developer- AI/ML

Sustainable TalentSan Francisco, CA
46d

About The Position

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.

Requirements

  • 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, GCP, 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.
  • 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.

Nice To Haves

  • Proficiency in JavaScript and front-end frameworks (React, Vue, or Angular) is a plus.

Responsibilities

  • 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, 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.

Benefits

  • 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.
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