Astro Sirens LLC

Senior Data Scientist / Machine Learning Engineer

Astro Sirens LLC

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Location Type: Remote

Location: India

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformHadoopKubernetesMySQLPostgresPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

  • - Design, develop, and deploy machine learning models for real-world production use cases
  • - Analyze large and complex datasets to extract insights that inform model development and optimization
  • - Build end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment
  • - Collaborate with data engineers, software engineers, product managers, and business stakeholders to define machine learning requirements
  • - Implement model monitoring, performance tracking, and retraining strategies
  • - Optimize models for scalability, performance, and reliability in cloud-based environments
  • - Ensure data quality, reproducibility, and adherence to best practices in ML development
  • - Translate machine learning outcomes into clear, actionable insights for technical and non-technical audiences
  • - Contribute to improving ML standards, tools, and best practices across teams
  • - Mentor junior data scientists and machine learning engineers

Requirements

  • - Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field
  • - 5+ years of experience in data science, machine learning, or applied AI roles
  • - Strong proficiency in Python for data processing and machine learning
  • - Hands-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 techniques
  • - Expertise in SQL and experience with relational databases (PostgreSQL, MySQL, MS SQL)
  • - Experience deploying machine learning models into production environments
  • - Familiarity with MLOps practices (model versioning, CI/CD, monitoring, retraining)
  • - Experience with cloud platforms such as AWS, GCP, or Azure
  • - Understanding of data governance, model ethics, and data privacy considerations
  • - Strong communication skills with the ability to work effectively with U.S.-based stakeholders
  • Preferred Qualifications
  • - Experience with big data technologies (Spark, Hadoop, or similar)
  • - Knowledge of Docker, Kubernetes, and containerized ML workflows
  • - Experience supporting ML systems at scale
Benefits
  • - Paid Time Off (PTO)
  • - Work From Home
  • - Professional development opportunities
  • - Training & Development Programs
  • - Collaborative and inclusive company culture
  • - Competitive salary and performance-based bonuses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningdata processingPythonscikit-learnTensorFlowPyTorchXGBoostSQLrelational databasesMLOps
Soft skills
communicationcollaborationmentoring