Data Science Engineer for Scalable Machine Learning Solutions
3 weeks ago
Unlock Your Potential as a Data Science Engineer at Pythian
About the RoleWe are seeking an experienced Data Science Engineer to join our team in designing, developing, and deploying scalable machine learning solutions. As a key member of our data science team, you will focus on building and optimizing complex machine learning pipelines, integrating models into various products and client solutions, and collaborating with cross-functional teams to develop and maintain robust, efficient, and scalable systems.
Key Responsibilities- Design, develop, and maintain large-scale machine learning pipelines for internal and client-driven projects.
- Deploy machine learning models, including pre-trained models (e.g., LLMs), into production environments and ensure scalability, performance, and reliability.
- Collaborate with data scientists to translate models into production-ready systems that meet business requirements.
- Optimize and tune machine learning models for performance, cost-efficiency, and scalability.
- Integrate machine learning models with cloud platforms and other infrastructure (e.g., AWS, Google Cloud, Microsoft Azure).
- Implement model monitoring, logging, and maintenance systems to ensure continuous operation and improvement of deployed models.
- Work closely with software engineering teams to ensure seamless model integration into larger applications.
To succeed in this role, you will need:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of experience in machine learning engineering, software engineering, or a related role.
- Strong programming skills in Python, Java, or similar languages, with proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with deploying pre-trained models, such as Large Language Models (LLMs), into production environments.
- Solid understanding of data pipelines, ETL processes, and version control systems (e.g., Git).
- Experience in building scalable, distributed systems and optimizing machine learning models for performance.
- Familiarity with MLOps tools and practices, including model versioning, monitoring, and CI/CD pipelines.
- Strong communication skills and ability to collaborate with cross-functional teams, including data scientists and engineers.
- Competitive salary: $140,000 - $180,000 per year, depending on location and experience.
- An annual bonus plan and shifted work time bonus (if applicable).
- Hone your skills or learn new ones with an annual training allowance.
- 3 weeks of paid time off and flexible working hours.
- All the equipment you need to work from home, including a laptop with your choice of OS.
- A budget to personalize your work environment.
- The opportunity to blog during work hours and contribute to our community.
PYTHIAN is known for its technology-enabled data expertise covering everything from ETL to ML. We pride ourselves on our ability to deliver innovative solutions that meet the specific data goals of each client and have built meaningful partnerships with major cloud vendors AWS, Google, and Microsoft. Our powerful combination of extensive expertise in data and cloud and our ability to keep on top of the latest bleeding-edge technologies make us the perfect partner to help mid and large-sized businesses transform to stay ahead in today's rapidly changing digital economy.
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