W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.Job Overview Job ID: J36993
Specialized Area: Machine learning
Job Title: Machine learning
Location: Duration: 6 Months
Domain Exposure: Banking & Finance, Telecom, IT/Software
Work Authorization: Client: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
This specific role is responsible for designing and implementing algorithm solutions, including fusing disparate data that originates from customers, applying cutting edge analytics models, and returning results that deliver value to customers. The Machine Learning Engineer will work closely with data scientists, BigData Teams, Java Teams, project managers and backend engineers to gather requirements, understand performance characteristics, and identify usage patterns to deliver solutions.
Strong computer science fundamentals, debugging skills and knowledge of algorithmsBe able to develop significant code bases and integrate new libraries and frameworks into workExcellent foundation and demonstrable experience in recommendations and information retrieval algorithmsExperience and interest in machine learning and AI, and in working with real world data setsVery strong in Data Science ModelsDevelop scalable data processing pipelines for analytical and predictive platform servicesCollaborate with other AI scientists and machine learning engineers to find effective solutions to technical challengesAbility to access, manage, transfer, integrate and analyze complex datasets, especially using SQL or map-reduce techniquesProduction-quality developer in Python, C/C++, Java, or other general-purpose languageExperience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR)Experience with big data frameworks such as Cassandra, Spark and HadoopFamiliar with ML lifecycle tools such as MLflow, FBLearner Flow, TFX and MichelangeloDemonstrated awareness of how to succeed in ambiguous circumstancesExperience with analytics development for industrial applications in a commercial settingExperience with virtualization and containerization, including managing and deploying containers using Kubernetes/DockerFamiliar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc.Determination - even when experiments fail, the ability to try again is keyAUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AUTOMATION TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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