| Senior Software Engineer || AI|ML || Sunrise, FL Onsite Day 1 at Day, New York, USA |
| Email: [email protected] |
| From: Ishavdeep Singh, Cloud Think Technologies [email protected] Reply to: [email protected] Responsibilities: Develop and implement generative AI Applications using Java and Python and leading industry tools and frameworks. Collaborate with data scientists and engineers to design and optimize AI/ML solutions. Conduct research and stay up to date with the latest advancements in generative AI and AI/ML technologies. Analyze large-scale datasets to identify patterns, trends, and insights that can be leveraged for AI model development. Optimize and fine-tune AI models to improve performance, accuracy, and efficiency. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. Collaborate with software engineers to integrate AI models into existing servicing applications and ensure scalability and reliability. Conduct code reviews and provide technical guidance and mentorship to junior team members. Stay abreast of industry best practices and emerging trends in AI/ML, Java, and Python development. Participate in cross-functional team meetings, brainstorming sessions, and knowledge sharing activities to foster innovation and continuous improvement. Cloud Technology Utilization: Leverage cloud platforms for ML and data engineering solutions. CI/CD Implementation: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes. Banking Data Expertise: Utilize knowledge of banking data for relevant data engineering tasks. Working in Agile Environments: Experience with Agile methodologies and practices. Problem-Solving and Troubleshooting: Strong analytical skills to solve problems and troubleshoot issues. Qualifications & Skills: Degree in Computer Science with 12+ years in experience Proficient in Programming Languages: Python, Java, Scala, and others. Proficient in writing clean and efficient code to implement machine learning algorithms. Deep understanding of various machine learning algorithms such as regression, classification, clustering, and deep learning Familiarity with popular ML frameworks such as TensorFlow, PyTorch, or scikit-learn Big Data Platform Proficiency: Skilled in working with Big Data platforms and Big Data lakes. Cloud Knowledge: Proficient in cloud computing technologies. Banking Data Knowledge: Familiarity with banking data structures and requirements. Architecture design and modeling: should possess strong skills in designing and modeling complex systems and architectures. Ability to create scalable, reliable, and efficient solutions that meet business requirements. Docker and Kubernetes Proficiency: Proficient with containerization and orchestration using Docker and Kubernetes. Continuous Learning: Commitment to staying updated with industry trends. Keywords: continuous integration continuous deployment artificial intelligence machine learning Senior Software Engineer || AI|ML || Sunrise, FL Onsite Day 1 [email protected] |
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| Tue Sep 17 03:19:00 UTC 2024 |