الصفحة الرئيسية باكستان Machine Learning Specialist

الصفحة الرئيسية باكستان Machine Learning Specialist

Machine Learning Specialist

دوام كامل في a Laimoon Verified Company في Pakistan
نُشرت يوم December 19, 2024

تفاصيل الوظيفة

Machine Learning SpecialistLocation: Lahore, PKTime Type: Full timePosted On: Posted 2 Days AgoJob Requisition ID: R40649About ContourContour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.What started as an R&D & Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore & Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!The DivisionConstellation Dealership Software is a leading provider of dealership management solutions. We are dedicated to delivering innovative software solutions that help dealerships operate more efficiently and profitably. Our culture fosters continuous learning, collaboration, and the pursuit of excellence.The PositionConstellation Dealership Software is seeking a Machine Learning Specialist to assist our Analytics group in implementing machine learning and AI solutions related to our warehoused information. This role will involve developing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams to drive innovative solutions. The selected candidate will report to the Data Architect.The chosen individual will work out of the Contour Software Lahore resource centre, as an extension of the division-based R&D department.Key ResponsibilitiesDevelop and deploy machine learning models.Analyze and interpret complex data sets to inform business decisions.Collaborate with the Data Architect to integrate machine learning solutions.Identify and troubleshoot issues related to data processing and model performance.Stay updated with the latest advancements in AI and machine learning technologies.Required SkillsProven experience of at least 3 years in machine learning, AI, data science, or a related field.Strong programming skills in Python.Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.Excellent problem-solving skills and attention to detail.Ability to work effectively in a team environment.Preferred QualificationsAdvanced degree in Computer Science, Data Science, or a related field.Experience with data warehousing solutions.Strong background in statistics and applied mathematics.Familiarity with Databricks.Exciting Benefits We Offer:Market-leading SalaryMedical Coverage - Self & DependentsParents Medical CoverageProvident FundEmployee Performance-based bonusesHome Internet SubsidyConveyance AllowanceProfit Sharing Plan (Tenured Employees Only)Life BenefitChild Care FacilityCompany Provided Lunch/DinnerProfessional Development BudgetRecreational area for in-house gamesSporadic On-shore training opportunitiesFriendly work environmentLeave EncashmentAbout UsAs a subsidiary of CSI, Contour Software serves as a dedicated Global Centre, currently housing employees and teams for more than 150 Divisional and Corporate departments. Contour employees are key players in implementing, supporting, extending, enhancing, and renewing enterprise systems that run thousands of medium and large businesses, as well as public institutions, globally!

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