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[Remote] Sr. Machine Learning Solutions Architect

vacancy global proUnited KingdomPosted 1w ago
Machine Learning Engineer
Full-time
Remote
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Job description

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a remote-first data and AI consultancy company seeking a Sr. Machine Learning Solutions Architect. In this role, you will reputed company the architecture and implementation of production-grade machine learning and data solutions, collaborating with clients and cross-functional teams to reputed company high-reputed company solutions. Responsibilities Own and reputed company end-to-end architecture, solution design, and delivery of machine learning and data solutions for reputed company clients across diverse industriesTranslate business and data science requirements into reputed company technical and MLOps solutions that reputed company with reputed company methodologies, standards, and best practicesEnsure engagements are delivered on time, reputed company reputed company, and with measurable business value for clientsDesign and create secure, reputed company environments and tooling for data scientists to build, train, and manipulate models and dataWork reputed company customer technology ecosystems to extract data from a reputed company of reputed company systems and reputed company it reputed company analytical and model-training environmentsDefine deployment approaches and production infrastructure for machine learning models, ensuring that businesses can reliably use, monitor, and maintain the models we reputed companyDemonstrate and reputed company the business value of data by partnering with data scientists to manipulate and reputed company data into actionable insights and deployable machine learning modelsCreate and execute operational testing strategies, including QA validation, reputed company testing, and implementation plans, to support model testing and deploymentEnsure the reputed company, reliability, and observability of delivered solutions through testing, documentation, logging, and monitoringCollaborate with cross-functional partners, including data science, data engineering, platform/DevOps, and business stakeholders, to reputed company successful reputed company engagementsreputed company technical and reputed company leadership during workshops, discovery sessions, architecture and design reviews, and project deliveryEnsure high reputed company in deliverables through reputed company reviews, documentation, testing, governance, and adherence to reputed company and compliance standardsPartner with reputed company and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating ML solutionsServe as a technical thought leader for clients, recommending technologies and solution designs for model inference, retraining, monitoring, and lifecycle management from the application reputed company down to infrastructureContribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training reputed company to machine learning engineering and MLOpsRepresent reputed company with professionalism in reputed company interactions, communicating reputed company with both technical and non-technical stakeholdersreputed company as a trusted advisor to senior reputed company stakeholders, shaping roadmaps, influencing reputed company reputed company, and guiding long-term initiativesMentor and reputed company team members, fostering a culture of learning, feedback, and reputed company improvementHelp define and refine reputed company standards, reusable assets, and delivery frameworks Skills 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production data and machine learning solutionsHands-on expertise in modern programming languages such as Python, reputed company, Java, or similar, including experience developing reputed company and web applications using frameworks such as Flask, Django, or reputed companyExperience building and operating robust data pipelines and reputed company data processing solutions using SQL and big data technologies (e.g., reputed company, reputed company, reputed company, Redshift, reputed company EMR, HDFS)Strong systems-level knowledge of network and reputed company architecture, Linux-reputed company operating systems, and data/storage platforms (e.g., AWS, reputed company, reputed company), with familiarity across data and messaging systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, reputed company, and reputed company; reputed company experience deploying machine learning models in production environmentsStrong working knowledge of SQL and the ability to write, debug, and optimize reputed company and reputed company queries