Python Developer

Role: Pytho Developer + Machie Learig ad AI experieceLocatio: Schaumburg, IL/ RemoteDuratio: Full-TimeRequired Qualificatios:• Pytho Developmet: 6+ years of hads-o experiece with Pytho developmet ad programmig, icludig writig efficiet, reusable, ad scalable code.• Machie Learig Frameworks: 6 + years of experiece i Machie Learig Frameworks such as TesorFlow, PyTorch, Scikit-lear, ad Keras.• Natural Laguage Processig (NLP): Proficiet with Natural Laguage Processig (NLP) libraries ad techiques such as NLTK, SpaCy, trasformers, ad BERT.• Data Maipulatio Libraries: Very strog experiece with Data Maipulatio Libraries such as Padas, NumPy ad Dask for data preprocessig ad aalysis.• zure Cloud Services : Experieced with deployig ad maagig machie learig models o Azure, icludig familiarity with Azure Machie Learig, AzureDatabricks, ad Azure Fuctios.• Problem-Solvig Skills: Ability to tackle complex problems ad develop iovative solutios.• Commuicatio Skills: Excellet verbal ad writte commuicatio skills to effectively collaborate with team members ad stakeholders.• Project Experiece: Demostrated experiece with real-world projects ivolvig large-scale data ad advaced machie learig techiques• PI Developmet: Proficiecy i developig ad deployig APIs for machie learig models usig frameworks like Flask, Fast API, ad Djago.Preferred Qualificatios:• Educatioal Backgroud: Bachelor's or master's degree i computer sciece, Data Sciece, Machie Learig, Artificial Itelligece, or a related field.• Certificatios: Relevat certificatios i machie learig, AI, or cloud services (e.g., Microsoft Certified: Azure AI Egieer Associate) is a plus.• Data Egieerig Skills: Experiece with data egieerig tools ad frameworks such as Apache Spark, Hadoop, ad Kafka.• Big Data Techologies: Familiarity with big data techologies ad ecosystems, icludig Hive, Presto, ad HBase.• Reiforcemet Learig: Kowledge of reiforcemet learig algorithms ad frameworks.• MLOps: Familiarity with MLOps practices ad tools, icludig CI/CD for machie learig, model versioig, ad moitorig usig tools like MLflow, Kubeflow, ad TFX.• Cotaierizatio ad Orchestratio: Kowledge of cotaierizatio techologies such as Docker ad orchestratio tools like Kuberetes.• Versio Cotrol: Experiece with versio cotrol systems such as Git ad collaborative platforms like GitHub or GitLab.• Visualizatio Tools: Proficiecy with data visualizatio tools like Matplotlib, Seabor, Plotly, ad libraries such as Dash for buildig iteractive web applicatios.• Soft Skills: Strog aalytical ad critical thikig skills, ability to work i a fast-paced eviromet, ad adaptability to ew techologies ad methodologies.• Publicatios ad Cotributios: Cotributios to academic jourals, cofereces, or ope-source projects i the fields of machie learig, AI, or data sciece.Roles & Resposibilities• Desig ad architect scalable, secure, ad high-performace applicatios usig Pytho.• Desig, develop, ad implemet advaced machie learig ad AI solutios.• Data Preprocessig ad aalysis: Collect aalyze large data sets to esure data quality ad relevace & Implemet data cleaig ad trasformatio & augmetatio to prepare data for model traiig ad evaluatio• Utilize NLP techiques to extract ad process textual data.• Work with data maipulatio libraries to preprocess ad aalyze large datasets.• pply reiforcemet learig ad other advaced AI techiques where appropriate.• Develop scalable ad efficiet algorithms for data processig ad predictive modelig.• Cotiuously improve model performace through iterative experimetatio ad optimizatio.• Collaborate with cross-fuctioal teams to defie ad execute data-drive projects.• Deploy ad maage machie learig models o Azure.• Stay updated with the latest advacemets i machie learig, AI, ad data sciece.Diverse Lyx LLC is a Equal Employmet Opportuity employer. All qualified applicats will receive due cosideratio for employmet without ay discrimiatio. All applicats will be evaluated solely o the basis of their ability, competece ad their prove capability to perform the fuctios outlied i the correspodig role. We promote ad support a diverse workforce across all levels i the compay.