Senior Principal Consultant ML Engineers

Inviting applications for the role of Senior Principal Consultant - ML Engineers!

In this role, lead the automation and orchestration of our machine learning infrastructure and CI/CD pipelines on public cloud (preferably AWS). This role is essential for enabling scalable, secure, and reproducible deployments of both classical AI/ML models and Generative AI solutions in production environments.

Responsibilities

• Develop and maintain CI/CD pipelines for AI/GenAI models on AWS using GitHub Actions and CodePipeline. (Not Limited to)

• Automate infrastructure provisioning using IAC. (Terraform, Bicep Etc)

• Any cloud platform - Azure or AWS

• Package and deploy AI/GenAI models on (SageMaker, Lambda, API Gateway).

• Write Python scripts for automation, deployment, and monitoring.

• Engaging in the design, development and maintenance of data pipelines for various AI use cases

• Active contribution to key deliverables as part of an agile development team

• Set up model monitoring, logging, and alerting (e.g., drift, latency, failures).

• Ensure model governance, versioning, and traceability across environments.

• Collaborating with others to source, analyse, test and deploy data processes

• Experience in GenAI project

Qualifications we seek in you!

Minimum Qualifications

• experience with MLOps practices.

• Degree/qualification in Computer Science or a related field, or equivalent work experience

• Experience developing, testing, and deploying data pipelines

• Strong Python programming skills.

• Hands-on experience in deploying 2 - 3 AI/GenAI models in AWS.

• Familiarity with LLM APIs (e.g., OpenAI, Bedrock) and vector databases.

• Clear and effective communication skills to interact with team members, stakeholders and end users

Preferred Qualifications/ Skills

• Experience with Docker-based deployments.

• Exposure to model monitoring tools (Evidently, CloudWatch).

• Familiarity with RAG stacks or fine-tuning LLMs.

• Understanding of GitOps practices.

• Knowledge of governance and compliance policies, standards, and procedures