AWS (SageMaker), GCP, Python, Spark, Kafka, Cassandra, HDFS, vespa.ia, ElasticSearch, TensorFlow, Airflow, GitHub Actions, BitBucket, Jenkins, Docker, Kubernetes, BigQuery.
Profisea is an Israeli boutique DevOps and Cloud company with a full cycle of services. For more than nine years, we have been implementing best practices of GitOps, DevSecOps, and FinOps, and providing Kubernetes-based infrastructure services to help businesses of all sizes —SMB, SME, or large enterprise clients to stay innovative and effective.
Requirements:
- Proven ability to design and implement cloud solutions and build MLOps pipelines on AWS.
- Hands-on experience with one or more frameworks such as Kubeflow, MLFlow, DataRobot, Airflow, etc.
- Proficient in Python, with a solid understanding of Linux and experience in frameworks like scikit-learn, Keras, PyTorch, TensorFlow, etc.
- Understanding of data science tools and experience in software development and test automation.
- Excellent written and verbal communication skills in English.
- Experience with frameworks like OpenAI SDK, Amazon Bedrock, LangChain, LlamaIndex.
- Knowledge of Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB (advantage).
- Experience with Docker and Kubernetes (advantage).
- Working knowledge of Snowflake, BigQuery, and/or Databricks (advantage).
- Familiarity with GCP or Azure (DevOps/MLOps) (advantage).
Will be a plus:
- ML certification (AWS ML Specialty or equivalent).
Responsibilities:
- Build and maintain MLOps pipelines using Amazon SageMaker and its advanced features.
- Develop cutting-edge Generative AI solutions and Proof of Concepts (POCs) with the latest architectures and technologies.
- Provision AWS resources and infrastructure to support machine learning tasks.
- Design and implement ML-focused CI/CD pipelines using tools like GitHub Actions, BitBucket, etc.
- Deploy machine learning models to production environments.
- Assist customers in solving large-scale problems through distributed training frameworks.
- Quickly adapt to new skills, tools, and technologies.
- Use and write Terraform libraries for infrastructure deployment.
- Develop and manage CI/CD pipelines across different projects, tech stacks, and scales.
- Maintain infrastructure and environments at all stages, from development to production.
- Monitor and administer security across systems.
What we Offer:
- Competitive salary
- Remote work
- Flexible schedule
- Career growth
- Sport compensations
- Professional working environment, where you’d be an essential member of our company
- Corporate culture, mutual support.
