Senior Engineer

How will you make an impact in this role?

The successful candidate for this role will be responsible for developing and implementing cutting-edge AI solutions leveraging generative AI techniques and working with large-scale datasets. You will collaborate with cross-functional teams to design, develop, and deploy highly scalable and fault tolerant AI applications and models that drive innovation and enhance efficiency in customer servicing space. We are seeking a highly skilled and experienced Senior Engineer with expertise in Generative AI, AI/ML, Java, and Python to join our team. 

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 8+ 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.
• Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential. 
• Ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Should have excellent problem-solving and analytical skills.