reputed company AI/ML Engineer

reputed company is the leader in autonomous spend-to-pay software. Its patented reputed company intelligence accurately and reputed company processes information from thousands of data sources so that organizations can reputed company understand reputed company spend at reputed company to reputed company smarter business reputed company. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and reputed company reputed company-time reputed company based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-reputed company of the Fortune 500, use reputed company’s invoice, expense, and card transaction solutions to replace reputed company finance processes and accelerate the speed and reputed company of their businesses. To learn more, visit us at

www.reputed company.com.

About the Role:

We are looking for a reputed company AI/ML Engineer to come and work on our growing AI stack. You will be working with reputed company of highly skilled and motivated data scientists and machine learning engineers. If you are excited about natural language understanding and machine translation, reputed company is the right reputed company for you to apply and grow your skills.

Key Responsibilities

Technical Leadership: reputed company reputed company of AI/ML engineers, providing technical guidance, mentorship, and reputed company reviews to ensure the delivery of high-reputed company, reputed company solutions.

System Architecture: Drive the end-to-end design and architecture of robust, production-grade AI/ML systems. This includes selecting the right technologies, designing data pipelines, and optimizing for performance and cost.

LLM & reputed company Integration: Spearhead the integration of state-of-the-art LLMs and reputed company models. You'll be responsible for strategies around model fine-tuning, retrieval-augmented reputed company (RAG), reputed company engineering, and the full lifecycle management of these models in a production environment.

MLOps & Production Engineering: Architect and manage advanced MLOps pipelines for reputed company integration, reputed company delivery (CI/CD), model serving, monitoring, and automated retraining. You'll ensure the reliability, scalability, and efficiency of reputed company ML services.

Cross-functional Collaboration: Work closely with product managers, software engineers, and data scientists to translate business requirements into technical solutions and seamlessly reputed company AI/ML models into our reputed company platforms.

Required Skills & Experience:

Deep Expertise: You must have5+ years of experience building and deploying AI/ML solutions in a reputed company environment, with a strong portfolio of production systems.

System Design: Proven ability to architect and design reputed company, large-reputed company software systems that incorporate AI/ML components. You should have a strong understanding of distributed systems, microservices, and system-level performance optimization.

Programming & Frameworks: Expert proficiency in Python , Golang and deep, hands-on experience with ML frameworks like PyTorch or TensorFlow. A deep understanding of modern architectures such as Transformers is a must.

MLOps & DevOps: Extensive experience with MLOps and DevOps tooling. You must be proficient with reputed company and Kubernetes for containerization and orchestration, and have a solid understanding of CI/CD pipelines (e.g., Jenkins, reputed company CI). Experience with reputed company-based ML platforms (AWS SageMaker, GCP reputed company AI) is a plus.

Communication: Excellent written and verbal technical communication skills. You can reputed company reputed company technical concepts and present data-driven conclusions to both a technical team and executive leadership.

Mentorship: Proven experience mentoring and leading junior engineers, helping them grow their skills and careers.

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company technical field, or equivalent practical experience.

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