22 jobs found for Machine Learning

Role:  Data Engineer Job DescriptionDesign, build, and maintain distributed batch and real-time data pipelines and data models.Facilitate real-life actionable use cases leveraging our data with a user- and product-oriented mindset.Be curious and eager to work across a variety of engineering specialties (i.e., Data Science, and Machine Learning to name a few).Support teams without data engineers with building decentralized data solutions and product integra

Job Description - Looking for an outstanding Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will have the opportunity to work on the Designing and developing machine learning and deep learning systems ,Running machine learning tests and experiments, Implementing appropriate ML algorithms and much more. We're a passionate team dedicated to Essential Safety who are building products that help transform people's lives.

Experience : 2-6years WHAT YOU ARE Bachelor’s or Master’s degree in Computer Science / Machine Learning / Data ScienceUnderstanding of machine-learning and operations research Ability to write robust code in Python, Java and RDeep knowledge of mathematics, probability, statistics and algorithms Understanding of data structures, data modeling and software architecture Outstanding analytical and problem-solving skillsCan Quickly prototype ideas, get things d

Position Summary:As a principal data scientist at organization, you will tackle and solve some of the hardest problems inhealthcare. Your modeling work will address use cases ranging from helping physicians make moreaccurate medical diagnoses to identifying patients who are at risk of not taking their medications. You will own the full end-to-end ML development lifecycle: engaging with stakeholders to scope outclinical and business opportunities, conceptu

Required Skills, Knowledge, Relevant Work Experience * 3- 5 year of excellent experience in the areas of Computer Vision & Machine Learning  Deep knowledge & experience of: -o Image processing, Computer Vision, Machine Learningo Stereo Camera data processing, 2D and 3D Transformationso Mono & Stereo Camera Calibration & Imagingo Object detection, tracking and recognition. Machine learning techniques, analysis, and algorithms  Proficiency in: -o Python a

Requirements: • Master’s degree in computer science, engineering, statistics, economics or equivalent with relevant 7 years of work experience• Proven ability to use modeling, optimization, machine learning or text classification algorithms• Possess a background in database design, ETL processes (SSIS) and SQL analysis (SSAS) to assist the Analytics team in formalizing their internal data flows and related reporting processes• Data virtualization, analytic

Key Responsibilities: Strong exposure and experience in Power Apps and Azure based ML using AzureDatabricks and Databases ITIL knowledge, SNOW fundamentals and Enterprise IT knowledge preferred Build algorithms / predictive models to identify trends and recommend actionableinsights Perform extensive statistical analysis on large datasets Carve out insights from huge datasets using Python Create reports dashboards with Excel / Power BI Work with Inte

Role: Data Science Engineer ResponsibilitiesProcess, analyze, and create visualizations for both structured and unstructured dataDesign and maintain algorithms for predictive modeling and recommendationsCollaborate with data engineers, product managers, and stakeholders to build robust production systemsRequired QualificationsBachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalentExcellent verbal

ACCOUNTABILITIESCreate machine learning predictive and prescriptive models (supervised and unsupervised)Understand project requirements and then guide junior team members to plan, deploy, and maintain models and applicationsUtilize cutting-edge data science techniques to build, train and optimize various predictive models based on technical specificationsData engineering and manipulation of large data setsLead, design, plan, and execute programming approac

Responsibilities:• Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning). • Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models • Define and govern data modeling and design standards, tools, bes

Job purpose:Lead and assist cross-functional & cross-regional teams to provide data analysis, monitoring, and forecasting, creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model, and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience. Accountabilities• Work cross-functionally with teams to analyze usage a

DATA ScienceYear of Exp : 5 to 8 yrsAbility to structure business problems into proper methodical analysis frameworksCan identify, develop and implement the appropriate statistical techniques, algorithms and data miningGood exposure to exploratory analysis and knack of deriving business insights & value. Comfortable with exploring large data setsExpert level knowledge in Natural Language Processing, Information Extraction and Text Mining algorithms.Strong

An exciting opportunity exists for an experienced Data Scientist to join the newly established Ed-Tech venture leading its ambitious vision to develop personalized competitive examinations cracking journey. You will take the lead with the design, creation, and installment of analytics systems. You will ideally have extensive experience building analytics products from a technology perspective.Drive the analytics solutionCreate re-usable analytics solutions

Lead a team of 4-6 engineers by providing both career guidance and technical vision for the product.Balance autonomy with guidance by giving your team the tools, context, confidence, and motivation to makedecisions effectively and independently.Lead and manage portions of Numerator’s engineering process building software to empower engineering teamsto develop and deliver high-quality products and code quickly.Have the technical capacity to partner with tec

Full Stack Engineer / Developer3–7 years relevant experienceRoles & ResponsibilitiesPRINCIPAL ACCOUNTABILITIESWork with vendors and internal parties to focus on Digitization and industry 4.0 transformation in aManufacturing Business. The role will involve, assisting in Identifying Opportunities for Digitizationand automation of workflows, developing solutions including but not limited to Extensions of ERP andMES systems, Applications integrated into curren

Qualifications:•          Bachelor’s Degree.•          8+ years of experience in information technology with 5+ years working with data.•          Strong communication skills: ability to be well-organized, clear, and concise in conversations and written communications with development team members, business analysts, and project management.•          Experience in Cloud Architecture with Big data tools and machine learning preferred.•          Advanced dim

Automation Lead – Job DescriptionRole: Automation Lead for Infrastructure run servicesThe person would be responsible to set-up & lead the Automation charter for Infrastructure Runservices, currently managed by a team of 1500 to 2000 professionals, across multiple customers.Primary charter:- Definition of Automation strategy & plan, by working with business / delivery head- Formation of a core team to implement the automation plan across the Run services-

 Data Science Lead - Forecasting Job Purpose and ImpactIntelligent Supply Chain Forecasting Lead will work collaboratively in multidisciplinary teams to define, develop, deploy and sustain complex supply chain digital solutions at scale. In this role, you will deploy predictive, prescriptive models at scale for digital supply chain products that help deliver significant value to our customers, businesses, and functions.Key Accountabilities Own and design s

Automation Lead – Job DescriptionRole: Automation Lead for Infrastructure run servicesThe person would be responsible to set-up & lead the Automation charter for Infrastructure Runservices, currently managed by a team of 1500 to 2000 professionals, across multiple customers.Primary charter:- Definition of Automation strategy & plan, by working with business / delivery head- Formation of a core team to implement the automation plan across the Run services-

Job Description: About the role:Design, develop high scalable and high performing distributed systemsWork in tandem with our engineering team to identify and implement the most optimal cloud-based solutions for the companyDefine and document best practices and strategies regarding application deployment and infrastructure maintenanceProvide guidance, thought leadership, and mentorship to developer teams to build their cloud competenciesEnsure application p

Software Engineer3–7 year experienceRoles & ResponsibilitiesPRINCIPAL ACCOUNTABILITIESWork with vendors and internal parties to focus on enterprise related solutions for automation andindustry 4.0 transformation (MES / IIOT Domain). The role will involve solving, developing andensuring continuous improvements through reports and application development. You will take directownership for the development of specific microservices or front-end modules as well

The Webex Assurance team is looking for an incident commander to join their amazing team. The incident command team provides 24x7 monitoring and support for incidents, changes, and pipeline. Service availability is key to any cloud platform, and the incident command team is a critical force to ensuring minimal customer impact during times of change or incident.What You’ll Do:• Take command of incidents by setting up or taking over a multi-functional techni