Join us in revolutionizing our products/services through the power of machine learning. As a Machine Learning Engineer, you'll be at the forefront of innovation, crafting and implementing advanced ML solutions to address intricate business challenges and elevate customer experiences.
Responsibilities
- Develop and deploy cutting-edge machine learning models and algorithms across various business domains, utilizing Python, R, or other relevant languages.
- Collaborate closely with cross-functional teams to decipher business requirements and translate them into technical solutions using ML techniques.
- Design and execute experiments to assess model performance, continually refining designs for enhanced accuracy, scalability, and efficiency.
- Utilize your expertise to clean, preprocess, and analyze extensive datasets, extracting valuable insights and features crucial for model training and validation.
Mandatory Skills Description
- 7+ years of hands-on professional MLOps engineering experience. Demonstrated proficiency in MLOps, encompassing a deep understanding of container technology, Restful API, and various model deployment techniques, along with expertise in model performance measurement in production environments.
- Expertise in MLOps, Feature Store, Model Serving. Extensive experience in the design, implementation, and operationalization of MLOps frameworks, including proficiency in feature store management and model serving.
- Proficiency in Programming and Querying Languages. Mastery in Python and SQL for efficient model development and data manipulation.
- Big Data Processing Proficiency. Skilled in big data processing tools such as Apache Spark or Databricks for handling large-scale datasets.
- Technological Proficiency. Experience with MLFlow, Azure ML services, and similar technologies for streamlined model development and deployment.
- Agile Methodologies. Familiarity with agile practices to ensure effective project management and collaboration.
Nice-to-Have Skills Description
- Natural Sense of Urgency and Collaboration. Demonstrated ability to work with urgency, fostering teamwork and collaboration to drive project success.
- Master's Degree in Computer Science or Related Field. A Master's degree in computer science or a related quantitative field would be advantageous, demonstrating a strong academic background in the field.
This role offers a unique opportunity to leverage your expertise in machine learning and data science to shape the future of our products/services. If you're passionate about innovation and thrive in a dynamic, collaborative environment, we'd love to hear from you.