Senior Software Engineer - Artificial Intelligence/Machine Learning

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