JOB SUMMARY:
We are seeking an experienced ML Engineer to join our team, focusing on building and deploying predictive systems within a production environment. The ideal candidate will possess a strong background in machine learning model development using Python, practical knowledge of data pipelines, and experience in crafting production-ready ML models in Microsoft Azure. Familiarity with Agile SDLC methodology is preferred. This role requires a mix of problem-solving skills, a commitment to delivery, excellent communication, and a collaborative spirit in a fast-paced team environment.
RESPONSIBILITIES AND DUTIES:
- Explore and develop use cases for ML model development based on business needs.
- Productionize Azure ML models, identifying opportunities to enhance efficiency and create new value.
- Devise strategies for model performance improvement based on feature performance and stakeholder feedback.
- Support the development and refinement of shared libraries for data scientists.
- Optimize ML models for deployment focusing on sustainability and performance.
- Contribute to the enhancement of metadata catalogs, A/B testing frameworks, and associated toolkits.
- Work cross-functionally within the AI/ML team to drive process improvements and deliver next-level enhancements.
- Collaborate with other functions to drive a long-term roadmap, improve capabilities, and broadly share results and processes.
QUALIFICATIONS:
Required:
- 3-5 years of hands-on experience in an enterprise setting.
- Experience with deep learning, NLP toolsets, including new generative AI technologies like Azure OpenAI and ChatGPT.
- Knowledge of common MLOps pipeline patterns and associated technologies.
- Proficiency in deep learning frameworks such as PyTorch, TensorFlow, Keras.
- Understanding of production systems, sustainable ML model deployments, and containerization for scaling production models.
- Fluency in Python; familiarity with production pipeline coding in Java, Go, or Scala.
- Master’s degree in Computer Science, Computational Science, or related field is preferred.
Preferred:
- Experience with generative AI technologies and Azure OpenAI deployment.
- Agile methodologies and frameworks.
- Azure cloud and Azure Machine Learning expertise.
OPPORTUNITY DETAILS:
This position offers a remarkable opportunity to contribute to the development and deployment of cutting-edge machine learning solutions within an enterprise environment. As an ML Engineer, you will have the chance to work on exciting projects, leveraging the latest technologies in AI and ML to drive significant business impact. You will be part of a dynamic team that values innovation, learning, and collaboration to improve processes and deliver exceptional results. Join us to advance your career in a role where you can make a substantial contribution to shaping the future of our analytics capabilities.
ABOUT CURATE:
At Curate Partners, we are not just a staffing agency; we are a bridge to innovation in the digital and data transformation landscape. Our mission is to match dynamic organizations with the ‘Purple Squirrels’ of the talent world—those rare, innovative drivers with unique skills that catalyze change and propel transformation journeys. With a focus on specialized talent, we empower companies and individuals alike to achieve groundbreaking success in their respective fields. Join us, and become part of a purpose-driven team committed to making a measurable impact while advancing your career alongside the most sought-after professionals in the industry.
EQUAL OPPORTUNITY EMPLOYER:
Curate Partners and their clients are committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion. We embrace the unique contributions that each ‘Purple Squirrel’ brings to our team, regardless of their age, gender, race, ethnicity, national origin, disability status, sexual orientation, or religious belief. We believe that our strength lies in our diversity and in our unified pursuit of innovation, excellence, and transformative success. We are dedicated to providing an environment where all employees and consultants feel valued, included, and empowered to bring their authentic selves to work every day. Join us in our commitment to creating a diverse, inclusive, and innovative workspace where every ‘Purple Squirrel’ can thrive.
FAQ:
- Q: What qualifications are required for ML Engineer?
- A: Required qualifications include 3-5 years of hands-on experience in an enterprise setting, proficiency in deep learning frameworks like PyTorch and TensorFlow, familiarity with Azure cloud and Azure Machine Learning, and a Master’s degree in Computer Science or related field.
- Q: What experience is preferred for the role – ML Engineer?
- A: Preferred experience includes knowledge of generative AI technologies, familiarity with Agile methodologies, expertise in Azure OpenAI deployment, and experience with production pipeline coding in Java, Go, or Scala.