Solutions Architect-Machine Learning
4 weeks ago
- Collaborate withstakeholders to understand business requirements and translate theminto machine learning solutions
- Design anddevelop machine learning models and algorithms to address specificbusiness needs
- Lead the evaluation andselection of appropriate machine learning technologies andtools
- Provide technical leadership and guidanceto development teams in implementing machine learningsolutions
- Perform data analysis and developdata models to support machine learninginitiatives
- Architect and implement scalablereliable and secure machine learning infrastructure on cloudplatforms
- Identify and address technicalchallenges and roadblocks in machine learningprojects
- Stay updated with the latestdevelopments in machine learning and contribute to theorganizations knowledge base
- Collaborate withsales and marketing teams to support presales activities and clientengagements
- Conduct training sessions andworkshops to educate internal teams on machine learning bestpractices
- Participate in the development anddelivery of technical presentations and thought leadershipcontent
- Ensure compliance with industrystandards best practices and regulatory requirements in machinelearning solutions
- Contribute to the continuousimprovement of machine learning processes andmethodologies
- Support in troubleshooting andresolving technical issues related to machine learningsolutions
- Drive innovation and contribute tothe development of intellectual property in machinelearning
- Bachelors or mastersdegree in computer science engineering mathematics or a relatedfield
- Proven experience in designing developingand deploying machine learning solutions in realworldscenarios
- Demonstrated expertise in datamodeling feature engineering and exploratory dataanalysis
- Strong proficiency in programminglanguages such as Python R or Java for machine learning and dataanalysis
- Comprehensive understanding of cloudplatforms such as AWS Azure or GCP for machine learningimplementation
- Expertise in machine learningframeworks and libraries such as TensorFlow PyTorch orscikitlearn
- Excellent problemsolving andanalytical skills with a focus on delivering innovativesolutions
- Solid understanding of softwaredevelopment methodologies and bestpractices
- Excellent communication andinterpersonal skills with the ability to collaborate effectivelyacross teams
- Proven ability to manage multiplepriorities and deliver results in a fastpaced dynamicenvironment
- Strong knowledge of statistics andprobability theory as applied to machinelearning
- Experience in deploying machinelearning models into productionenvironments
- Demonstrated ability to presentcomplex technical concepts to nontechnicalstakeholders
- Professional certifications inmachine learning cloud technologies or related areas would be aplus
- Passion for continuous learning andprofessional development in the field of machinelearning
machine learning,datamodeling,softwaredevelopment,learning,teams,data,cloud,contribute,dataanalysis,models,design,leadership
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