Senior Machine Learning Engineer

Astro Sirens is an IT staffing agency based in Austin, Texas. We connect talented professionals from around the world with U.S. companies, offering exciting opportunities to work on innovative projects for top clients.We are currently seeking a Senior Data Scientist / Machine Learning Engineer to help our clients design, build, and deploy scalable machine learning solutions that drive business value. This is a remote position, and we strongly encourage and give preference to candidates based in India who are eager to collaborate with U.S.-based teams.ResponsibilitiesDesign, develop, and deploy machine learning models for real-world production use casesAnalyze large and complex datasets to extract insights that inform model development and optimizationBuild end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deploymentCollaborate with data engineers, software engineers, product managers, and business stakeholders to define machine learning requirementsImplement model monitoring, performance tracking, and retraining strategiesOptimize models for scalability, performance, and reliability in cloud-based environmentsEnsure data quality, reproducibility, and adherence to best practices in ML developmentTranslate machine learning outcomes into clear, actionable insights for technical and non-technical audiencesContribute to improving ML standards, tools, and best practices across teamsMentor junior data scientists and machine learning engineersRequirementsBachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field5+ years of experience in data science, machine learning, or applied AI rolesStrong proficiency in Python for data processing and machine learningHands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost)Strong understanding of supervised and unsupervised learning, deep learning, and model evaluation techniquesExpertise in SQL and experience with relational databases (PostgreSQL, MySQL, MS SQL)Experience deploying machine learning models into production environmentsFamiliarity with MLOps practices (model versioning, CI/CD, monitoring, retraining)Experience with cloud platforms such as AWS, GCP, or AzureUnderstanding of data governance, model ethics, and data privacy considerationsStrong communication skills with the ability to work effectively with U.S.-based stakeholdersPreferred QualificationsExperience with big data technologies (Spark, Hadoop, or similar)Knowledge of Docker, Kubernetes, and containerized ML workflowsExperience supporting ML systems at scaleBenefitsPaid Time Off (PTO)Work From HomeProfessional development opportunitiesTraining & Development ProgramsCollaborative and inclusive company cultureCompetitive salary and performance-based bonusesOriginally posted on Himalayas