Senior Machine Learning Engineer

Mode: ContractJob Description:Design complex systems to train and run machine learning models using industry best practicesDefine projects and scope for engineering teams and guide them through completionDevelop identify and report intellectual property through patent applications invention disclosures white papers and presentationsDemonstrate effective respectful and honest communication when collaborating with colleagues including executives clients and peers from other companies and institutionsContribute to all phases of product development and delivery from analysis and design through successful deploymentSupport company initiatives and prioritize projects that align with its longterm technical visionCollaborate with product teams architects and others to understand the opportunities and limitations of AI machine learning and data engineeringParticipate in peer design and code reviewsShow initiative in identifying and driving improvements and innovations that create value and advance the IT organizationRaise peer performance through training mentoring and promotion of best practices may serve as a team leadResponsible for the design development and implementation of short and long term solutions for information technology needs through new and existing applications system architecture network systems and application infrastructureThe role is often involved in modifying or adapting existing designs reviewing technology requirements and business processes and coding testing debugging and implementing software solutionsThese roles are typically project based and deliver technology changes within the businessKey SkillsBig Data Analytics Deep understanding of the domain or industry in which machine learning solutions are applied enabling the business to develop impactful big data solutionsCollaboration Engages internal stakeholders including Data Scientists business leaders Product Managers and executives to understand requirements and present technical solutions Collaborates with software engineering data engineering and business intelligence teams to integrate machine learning solutions into larger systemsCloud Computing Proficiency in data architecture design data strategy development data orchestration data integration ETL development data modeling parallel processing and performance optimizationApplication Development Programming Reviews code for quality performance and efficiency optimizes critical parts of the codebase and establishes Software Development Lifecycle best practices for the teamArtificial Intelligence Designs scalable and maintainable machine learning architectures and frameworks for the organizations products and services Defines the technical vision and roadmap for the MLE team in alignment with organizational goals and industry trendsTechnical Leadership Leads and manages a team of Machine Learning Engineers Data Scientists or related roles sets clear goals provides guidance and fosters a collaborative and productive team environmentMathematics Reads and understands current machine learning research and applies innovative techniques to realworld problemsExperienceBachelors degree in a STEM field or equivalent professional experience Masters degree preferred AIML coursework preferred5 years of related work experience including proven experience leading a team of MLE DS SDE DevOps or related professionalsExperience with end-to-end ML model development from ideation through deployment ensuring best practices scalability and reliability
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