Team Lead

Legato

8 - 13 years

10 - 15 Lacs

bengaluru

Posted:Just now| Platform:

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Skills Required

computer science san manager quality assurance gcp analytical machine learning genetics monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Develop and maintain microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions.
Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.
Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.
Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management.
Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows.
Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments.
Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment.
Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development.
Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC.
Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs.
Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling.
Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic improvements and decisions.
Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function.
Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment.

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