ML Engineer

Posted about 2 months agoViewed

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💎 Seniority level: Middle, 3+ years

📍 Location: Worldwide

🔍 Industry: AI and data strategy

🏢 Company: CloudHire👥 11-50 Recruiting Web Design Software

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSDockerPythonSQLCloud ComputingGCPKubernetesMachine LearningNumpyPyTorchData engineeringSparkTensorflowCI/CDMicroservicesData modeling

Requirements:

3+ years of experience in machine learning, deep learning, or AI model development
Strong Python skills – Proficiency in TensorFlow, PyTorch, Scikit-learn, and NumPy
Experience with big data frameworks (Spark, Dask, Kafka, or Ray)
Cloud expertise – Hands-on experience with AWS SageMaker, GCP Vertex AI, or Azure ML
Familiarity with SQL, NoSQL, and distributed data storage (Snowflake, BigQuery, MongoDB, or Redis)
Experience with Docker, Kubernetes, and CI/CD pipelines for ML model deployment
Strong problem-solving and research skills – Ability to optimize ML models for real-world applications

Responsibilities:

Design and optimize machine learning models for data distribution, anomaly detection, and predictive analytics
Implement end-to-end data processing workflows for real-time and batch inference using Python, TensorFlow, PyTorch, and cloud-based ML platforms
Work with large-scale datasets using Spark, Dask, or Ray to enhance data ingestion, transformation, and storage efficiency
Deploy ML models into production using APIs, microservices, and containerized environments (Docker, Kubernetes)
Stay ahead of ML advancements, test new approaches, and improve model performance for accuracy, efficiency, and scalability

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