Data Engineer

2 months ago

gurugram, India Impetus Full time

About ImpetusImpetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth.Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon.Experience- 4+ yearsJob DescriptionStrong experience in Python2+ years’ experience of working on feature/data pipelines using PySparkUnderstanding and experience around data scienceExposure to AWS cloud services such as Sagemaker, Bedrock, Kendra etc.Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practiceExperience with statistical models e.g., multinomial logistic regressionExperience of technical architecture, design, deployment, and operational level knowledgeExploratory Data AnalysisKnowledge around Model building, Hyperparameter tuning and Model performance metrics.Statistics Knowledge (Probability Distributions, Hypothesis Testing)Time series modelling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP)Good To Have:Experience researching and applying large language and Generative AI models.Experience with LangChain, LLAMAIndex, Foundation model tuning, Data Augmentation, and Performance Evaluation frameworksAble to provide analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems.Knowledge on Docker and KubernetesRoles & ResponsibilitiesGenerate actionable insights for business improvements.Ability to understand business requirements.Write clean, efficient, and reusable code following best practices.Troubleshoot and debug applications to ensure optimal performance.Write unit test casesCollaborate with cross-functional teams to define and deliver new featuresUse case derivation and solution creation from structured/unstructured data.Actively drive a culture of knowledge-building and sharing within the teamExperience applying theoretical models in an applied environment.MLOps, Data Pipeline, Data engineeringStatistics Knowledge (Probability Distributions, Hypothesis TestingQualificationDegree – Graduates/Postgraduate in CSE/IT or related field

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