AI/ML Software Engineer

About the Role We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation. Key Responsibilities Design, develop, and deploy machine learning models into production environmentsBuild and maintain scalable ML pipelines for data processing, training, and inferenceCollaborate with cross-functional teams to identify AI-driven product opportunitiesTranslate business requirements into ML solutions and technical implementationsOptimize model performance, accuracy, and latency for real-time applicationsIntegrate AI/ML models with APIs and backend systemsMonitor model performance and implement continuous improvement strategiesEnsure best practices in data handling, model versioning, and reproducibilityStay updated with the latest advancements in AI/ML and apply them to product innovation Required Skills & Qualifications Bachelors engineering degree in Computer Science, AI, Data Science, or related fieldStrong programming skills in Python (experience with Java/Go is a plus)Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learnSolid understanding of machine learning algorithms and statistical conceptsExperience in building and deploying ML models in productionFamiliarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)Experience with data processing tools (Pandas, NumPy, Spark, etc.)Knowledge of version control systems like Git About the Role We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation. Key Responsibilities Design, develop, and deploy machine learning models into production environmentsBuild and maintain scalable ML pipelines for data processing, training, and inferenceCollaborate with cross-functional teams to identify AI-driven product opportunitiesTranslate business requirements into ML solutions and technical implementationsOptimize model performance, accuracy, and latency for real-time applicationsIntegrate AI/ML models with APIs and backend systemsMonitor model performance and implement continuous improvement strategiesEnsure best practices in data handling, model versioning, and reproducibilityStay updated with the latest advancements in AI/ML and apply them to product innovation Required Skills & Qualifications Bachelors engineering degree in Computer Science, AI, Data Science, or related fieldStrong programming skills in Python (experience with Java/Go is a plus)Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learnSolid understanding of machine learning algorithms and statistical conceptsExperience in building and deploying ML models in productionFamiliarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)Experience with data processing tools (Pandas, NumPy, Spark, etc.)Knowledge of version control systems like Git