MLops Process + AWS

Contract Type
Academic title
Higher degree (any)
Job description
  • Design, build, and refine machine learning (ML) and artificial intelligence (AI) models.
  • Implement MLOps practices to automate the deployment, monitoring, and maintenance of ML models.
  • Work closely with cross-functional teams to integrate AIML models into larger systems and applications.
  • Preprocess, transform, and analyze large datasets for use in AIML model development.
  • Implement data security measures such as encryption, decryption, and PII data masking.
  • Use AWS services to facilitate the development and deployment of AIML models.
  • Maintain and optimize code deployment models including Blue Green Deployment, Canary Deployment, etc.
  • Use programming languages such as Python, R, and tools like Pandas for data engineering tasks.
  • Ensure the integrity and reliability of data sources and outputs.
  • Effectively communicate complex ideas, results, and concepts to stakeholders, both technical and non-technical.
  • Minimum of 5 years of experience in deploying and automating AIML models
  • Experience with various machine learning algorithms, principles, and frameworks, including supervised, unsupervised, reinforcement learning models, and deep learning techniques.
  • Minimum of 3 years of data engineering, data science, or data analysis-related work experience.
  • Strong programming skills, particularly in Python.
  • Proficient knowledge of data preprocessing, data exploration, and feature engineering.
  • Experience with SQL, NoSQL databases, and data pipeline tools like Apache Kafka or Apache Beam.
  • Proficient understanding of software development principles, DevOps methodologies, and cloud computing.
  • Experience with infrastructure as code (IAC) tools such as Terraform or CloudFormation.
  • Familiarity with monitoring tools like Prometheus, Grafana, or ELK stack (Elasticsearch, Logstash, Kibana).
  • Understanding of data privacy, security, and governance practices.
  • Excellent communication and collaboration skills.
  • AWS specialty certification in Machine Learning or Data Analytics is preferred.
Other notes
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