Address
Form of workAccepting Applicants from US and CanadaFull time / remote
Responsibilities:
The ideal candidate will play a crucial role in building seamless connectivity between diverse components in our Gen AI pipelines, optimizing workflows, and contributing to the development of front-end interfaces.
· 5+ years of work experience working on various cloud technologies in ML deployment area with atleast 1+ years of experience working on Software Engineering efforts for implementation of Gen AI pipelines.
· Ability to fine tune LLM models using various Software Engineering techniques.
· Proven Experience working with Langchain, Llamaindex framework.
· Design and implement end-to-end orchestration solutions for AI pipelines, ensuring smooth communication and coordination between various components.
· Develop connectors and interfaces to establish connectivity between different AI components, including data processing modules, machine learning models, and external APIs.
· Collaborate with cross-functional teams to integrate and streamline data flows.
· Implement optimization techniques for AI pipelines, including resource allocation, parallel processing, and load balancing.
· Continuously assess and enhance the performance of orchestrated systems.
· Assist in the development of front-end interfaces, such as UIs and API connections, to provide user-friendly access and control over orchestrated processes.
· Work closely with UX/UI designers to create intuitive and responsive interfaces.
· Collaborate with data scientists, Software Engineers, database engineers to understand requirements and provide technical solutions.
· Communicate effectively with team members and stakeholders throughout the development lifecycle.
Technical skills:
· Knowledge of Gen AI – Models, Development, Scalability & Deployment
· Knowledge of containerization technologies (Docker, Kubernetes).
· Understanding of machine learning concepts and frameworks.
· Experience with cloud platforms (e.g., AWS, Azure).
· Excellent problem-solving skills and the ability to work in a collaborative team environment.
Candidate Profile:
· Bachelor’s/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
· Outstanding written and verbal communication skills
· Superior analytical and problem solving skills
· Experience in working in dual shore engagement is preferred
· Must have experience in managing clients directly
· Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
· Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
· Is able to understand cross cultural differences and can work with clients across the globe
This is a remote position.
