Senior Machine Learning Engineer (Remote - US)

• ML Solution Development – Design, develop, and implement machine learning models and pipelines to address real-world business problems.
• Cloud & MLOps – Deploy, manage, and optimize ML workflows using AWS services, MLOps frameworks, and infrastructure-as-code tools.
• Big Data Processing – Prepare, clean, and process large datasets using Python, Pandas, PySpark, SQL, or other big data frameworks.
• Collaboration & Agile Delivery – Participate in agile ceremonies, daily standups, and cross-functional team discussions to align technical solutions with client goals.
• Model Optimization & Feature Engineering – Define features, tune hyperparameters, and apply best practices for stochastic gradient descent, deep learning architectures, and activation functions.
• Visualization & Reporting – Create visualizations and insights using SageMaker, matplotlib, seaborn, or other tools to communicate model results and performance.

• Strong experience building ML models for real-world applications, with proficiency in AWS ML services (SageMaker) or libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn.
• Experience with MLOps tools such as MLflow, Kubeflow, or Airflow.
• Proficiency in big data platforms (Spark, Hadoop) and data processing in Python, PySpark, Scala, or SQL.
• Strong understanding of feature definition, model metadata, hyperparameter tuning, and deep learning concepts.
• Experience with visualization libraries and cloud IaC tools like CloudFormation, Amazon CDK, or Terraform.
• Excellent written and verbal communication skills, with the ability to collaborate across distributed teams.
• Preferred: experience with streaming platforms, advanced analytics, and implementing ML in production environments.

• Fully remote work with global team collaboration.
• Competitive base salary: $120,000 – $135,000 per year, plus potential bonuses, equity, and other incentives.
• Medical, dental, and vision insurance for you and eligible dependents.
• 401(k) plan with company match up to 4% and immediate vesting.
• Term life and disability insurance coverage.
• Flexible Spending Accounts for healthcare and dependent care.
• Annual learning and development stipend.
• Company-issued laptop and equipment stipend.
• Unlimited paid time off (after 90-day probation) and 10 paid holidays.
• Up to 25% travel depending on project needs.

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