*key responsibilities*:
- architect and enforce scalable ai/ml operational frameworks to support our machine learning and analytics initiatives, ensuring scalability, efficiency, and security across the enterprise.
- build and deploy sophisticated machine learning models to unlock business opportunities and enhance predictive analytics capabilities.
- design and implement robust data architectures to support machine learning and analytics initiatives, ensuring scalability, efficiency, and security.
- develop and deploy advanced machine learning models to identify cross-sell/up-sell opportunities, forecast demand, and optimize inventory management.
- analyze and integrate disparate marketplace data, identifying patterns and insights that can drive business strategy and operational improvements.
- collaborate with cross-functional teams to understand business needs, gather requirements, and translate them into technical specifications.
- leverage snowflake for data warehousing solutions, ensuring optimal performance, data integrity, and compliance with data governance standards.
- explore and implement aws services, including sagemaker, to enhance machine learning capabilities and automate data processing workflows.
- continuously monitor, evaluate, and improve the performance of data systems and machine learning models, incorporating feedback and emerging technologies.
- provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.
*qualifications*:
- bachelor's or master's degree in computer science, data science, engineering, or a related field.
- at least 6 years of experience in related roles.
- proven experience as a data architect, machine learning engineer, or in a similar role, with a strong portfolio of successful projects.
- expertise in machine learning algorithms, data modeling, and statistical analysis.
- extensive experience in data architecture and machine learning, with a demonstrable focus on ai/ml operations and implementation of enterprise-wide data frameworks.
- proficient in using snowflake and various aws services, such as sagemaker, for data warehousing and machine learning projects.
- strong programming skills in python, sql, and other relevant languages/frameworks.
- excellent analytical, problem-solving, and project management skills.
- ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders.
- experience with implementing automated testing frameworks within the data ecosystem is a big plus.
- fluent in english, with excellent verbal and written communication skills.
- encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies.
with over 9,000 experts in 47+ offices and innovation labs worldwide, encora's technology practices include product engineering & development, cloud services, quality engineering, devsecops, data & analytics, digital experience, cybersecurity, and ai & llm engineering._
- at encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality._