Job
Description
As an AI/ML Engineer at EpixelSoft, you will play a crucial role in designing, developing, and implementing machine learning models to enhance services in healthcare, fintech, and enterprise software domains. Your responsibilities will include: - **AI/ML Model Development**: - Design, develop, and deploy machine learning models, focusing on generative AI, deep learning, and large language models (LLMs). - Implement cutting-edge solutions such as prompt engineering, fine-tuning, and multi-agent models. - **Machine Learning Pipelines**: - Develop end-to-end machine learning pipelines integrating with backend services, data sources, and third-party APIs. - **Model Deployment & Monitoring**: - Implement processes for deploying AI models into production environments, including monitoring, optimization, and retraining strategies. - **Performance Optimization**: - Continuously improve the efficiency and scalability of machine learning algorithms and workflows to address business challenges. - **Collaboration with Cross-Functional Teams**: - Work with data scientists, software engineers, and product managers to seamlessly integrate AI solutions into business applications. - **CI/CD for Machine Learning**: - Implement and maintain CI/CD pipelines for machine learning models to ensure reliability and smooth updates. - **Infrastructure Management**: - Oversee the infrastructure for model training and deployment, ensuring efficient use of cloud services and computational resources. - **API Development & Integration**: - Build and integrate REST APIs for easy consumption of machine learning models by business applications and external services. - **Documentation & Best Practices**: - Maintain clear and concise documentation of processes, models, and code to ensure reproducibility and knowledge sharing. - **Industry Research & Innovation**: - Stay up-to-date with the latest AI/ML trends and advancements to enhance EpixelSoft's offerings. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. - Minimum of 3 years of hands-on experience in AI/ML model development, deployment, and optimization. - Strong proficiency in machine learning frameworks, programming languages, and cloud platforms. - Experience with version control, model lifecycle management, and CI/CD pipelines. - Ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders. In addition to the above, you will win us over by demonstrating a proactive approach to learning and applying new technologies, strong problem-solving skills, and delivering results under tight deadlines. Join EpixelSoft for a chance to work on cutting-edge AI/ML projects, competitive salary and benefits, collaborative environment with exposure to the latest technologies, and the opportunity to make a significant impact in various industries. As an AI/ML Engineer at EpixelSoft, you will play a crucial role in designing, developing, and implementing machine learning models to enhance services in healthcare, fintech, and enterprise software domains. Your responsibilities will include: - **AI/ML Model Development**: - Design, develop, and deploy machine learning models, focusing on generative AI, deep learning, and large language models (LLMs). - Implement cutting-edge solutions such as prompt engineering, fine-tuning, and multi-agent models. - **Machine Learning Pipelines**: - Develop end-to-end machine learning pipelines integrating with backend services, data sources, and third-party APIs. - **Model Deployment & Monitoring**: - Implement processes for deploying AI models into production environments, including monitoring, optimization, and retraining strategies. - **Performance Optimization**: - Continuously improve the efficiency and scalability of machine learning algorithms and workflows to address business challenges. - **Collaboration with Cross-Functional Teams**: - Work with data scientists, software engineers, and product managers to seamlessly integrate AI solutions into business applications. - **CI/CD for Machine Learning**: - Implement and maintain CI/CD pipelines for machine learning models to ensure reliability and smooth updates. - **Infrastructure Management**: - Oversee the infrastructure for model training and deployment, ensuring efficient use of cloud services and computational resources. - **API Development & Integration**: - Build and integrate REST APIs for easy consumption of machine learning models by business applications and external services. - **Documentation & Best Practices**: - Maintain clear and concise documentation of processes, models, and code to ensure reproducibility and knowledge sharing. - **Industry Research & Innovation**: - Stay up-to-date with the latest AI/ML trends and advancements to enhance EpixelSoft's offerings. Qualifications Required: - Bachelor's or M
