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AI/ML Engineer

4 hours, 10 minutes ago
Nepal, Pakistan, Philippines, Sri Lanka, Vietnam
Contract
Senior
Machine Learning Engineer
Software Development
Apache Spark AWS Azure CI/CD Computer Vision Docker Feature Engineering GCP Hadoop Hugging Face Kubeflow Kubernetes LLM Machine Learning Microservices MLflow MLOps NLP NumPy Pandas Python PyTorch SageMaker Scikit-learn SQL TensorFlow Vertex AI
Apply Now

Astro Sirens / Astro Sirens Staffing and Consulting

An IT staffing and consulting firm offering IT consulting, IT staffing, project management, CloudOps solutions, and DevOps transformation. It describes itself as providing top-notch IT talent and consulting services and matching clients with candidates for software development, network engineering, project management, and more.

IT services, staffing, and consulting
View All Jobs 8

Description

  • Design, develop, and deploy machine learning and artificial intelligence solutions.
  • Build scalable models and production-grade machine learning systems.
  • Work across the full machine learning lifecycle, including data preparation, feature engineering, training, deployment, monitoring, and continuous improvement.
  • Collaborate with engineering, data, product, and business teams on solution design and delivery.
  • Develop intelligent applications that solve real-world problems.
  • Design and maintain data pipelines and machine learning workflows in cloud environments.
  • Integrate machine learning solutions into production systems using APIs, microservices, and backend engineering concepts.
  • Support models in production and ensure they remain reliable and effective.
  • Communicate technical concepts clearly to technical and non-technical stakeholders.
  • Work effectively in a remote environment aligned with U.S. time zones.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field.
  • Minimum 5 years of professional experience in machine learning, artificial intelligence, or software engineering roles with a strong machine learning focus.
  • Strong proficiency in Python and hands-on experience with scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
  • Proven experience building, evaluating, deploying, and supporting machine learning models in production environments.
  • Strong understanding of supervised and unsupervised learning, feature engineering, model evaluation, and statistical analysis.
  • Experience designing and maintaining data pipelines and machine learning workflows in AWS, Microsoft Azure, or Google Cloud Platform.
  • Familiarity with APIs, microservices, and backend engineering concepts for production integration.
  • Strong SQL skills and experience working with large-scale structured and unstructured datasets.
  • Strong written and verbal communication skills in English.
  • Demonstrated ability to work effectively in a remote environment aligned with U.S. time zones.
  • Preferred experience with MLOps tools and practices such as MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, model monitoring, CI/CD, and lifecycle management.
  • Preferred experience with natural language processing, computer vision, recommender systems, or time-series forecasting.
  • Preferred familiarity with distributed processing technologies such as Spark, Hadoop, or Ray.
  • Preferred experience with vector databases, embeddings, retrieval pipelines, and large language model integrations.
  • Preferred exposure to generative AI frameworks and tools such as LangChain, LangGraph, Hugging Face, and OpenAI APIs.
  • Preferred experience building scalable inference services using Docker, Kubernetes, and cloud-native deployment patterns.
  • Preferred knowledge of data governance, model explainability, responsible AI practices, and model risk management.
  • Preferred experience working in fast-paced, cross-functional product or platform teams.

Benefits

  • Competitive compensation.
  • Flexible remote work aligned with U.S. time zones.
  • Opportunity to work on innovative AI and machine learning initiatives with meaningful business impact.
  • Collaborative, technically strong, and forward-looking engineering environment.
  • Long-term career growth opportunities.
  • Professional development opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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