Technical Lead - Machine Learning/DevOps

My client is looking for a Technology Lead for a leading AI/Machine Learning organisation.

Essential qualifications, experience, knowledge, and skills:

1. 7+ years of experience in software engineering, including leading ML, full-stack, and DevOps teams.
2. Proven experience in Machine Learning (NLP, OCR, LLMS, predictive, generative and extraction models) and Full Stack Development using MEAN stack (MongoDB / DynamoDb/Non-Relational Database, ExpressJS, Angular, NodeJS).
3. Expertise in AWS Cloud services (EC2, Lambda, S3, Elastic Beanstalk, SageMaker) and experience with infrastructure automation and containerisation tools (Terraform, CloudFormation, Docker).
4. Strong background in DevOps methodologies, CI/CD pipelines (GitLab / Jenkins), and infrastructure as code (IaC).
5. Deep understanding of Python, R, and deep learning frameworks like TensorFlow, PyTorch.
6. Experience with monitoring tools like Prometheus, Grafana, BugSnag, Google Crash Analytics or Datadog.
7. Strong leadership and problem-solving skills with a focus on scalability, security, and high availability.
8. Proven track record in managing multiple technical teams across machine learning, full-stack, MLOps and DevOps.

Desirable qualifications, experience, knowledge, and skills:

1. Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
2. Experience in a startup environment or in a healthcare technology company.
3. Familiarity with big data technologies such as Hadoop or Spark.
4. Experience with security compliance and standards (e.g., ISO, HIPAA, OWASP).
5. Familiarity with ElasticSearch, AWS Beanstalk, and AWS Lambda.

This is an exceptional mandate - please send CV if interested.