Mumbai Maharashtra Partner engineer, generative ai Jobs – 1238 Open Jobs Today

Partner Engineer, Generative AI
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Qlik Developer Data and Analytics Diverse global solutions provider corp
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3d
Software Engineer – Generative AI
Logixal —Mumbai, Maharashtra
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Partner Engineer, Generative AI

Meta -
Mumbai, Maharashtra

Apply Now

Job details

Qualifications

TensorFlow
Image processing
Azure
Rust (programming language)
Go
Law
Doctoral degree
Computer Science
Internet of things
Kubernetes
PyTorch
Computer vision
Software deployment
B.Sc
Java
Master's degree
AWS
C++
Docker
Presentation skills
C
Bachelor's degree
Machine learning
Deep learning
Natural language processing
Software development
APIs
Data science
AI
Python
Design patterns

Full job description

Meta is seeking a Partner Engineer to join Meta’s AI Partner Engineering team, a highly technical team that works with strategic partners, machine learning leaders across the industry and all major cloud service providers for building and launching new Generative AI product services and experience and taking Large Language Models (LLMs) from research to production. In this role, you will engage with some of the world's most influential companies and work closely with our Llama engineering and AI research teams. You will be required to develop technical accelerators, case studies, white papers, blogs, reference architectures, and/or presentations to evangelize Meta’s AI design patterns and best practices.

Partner Engineer, Generative AI Responsibilities:

AI Solution Development: Apply advanced AI and machine learning techniques to build and launch generative AI solutions using Meta’s state-of-the-art LLMs. Architect scalable, reliable, and modular solutions in collaboration with partners, leveraging Meta models for proof of concept and production deployments
Technical Integration & Support: Work closely with Meta’s strategic partners on deep learning and LLM integrations. Provide advanced troubleshooting, resolve complex integration challenges, and support the deployment of production-level AI applications across cloud providers (e.g., AWS, Azure, GCP)
Model Optimization & Engineering: Engage in model development, fine-tuning, evaluation, and optimization. Utilize advanced algorithms and prompt engineering to enhance model performance and ensure technical success for key solutions (e.g., Customer Care, Physical Work Supervision etc)
Reference Architectures & Tooling: Develop reference architectures, technical samples, and resources for the broader Meta developer community
Partner Advocacy & Product Feedback: Collect and champion partner feedback within Meta’s internal product development processes, ensuring partner needs are reflected in ongoing improvements
Strategic Influence & Communication: Serve as a subject matter expert with strategic influence on partners and internal teams. Effectively plan, lead, and execute projects with minimal oversight, and proactively communicate feedback, updates, and status to direct and cross-functional teams
Documentation & Evangelism: Authoring clear and concise documentation, including technical specifications, best practice guides, and presentations. Communicate complex AI concepts to both technical and non-technical stakeholders, internally and externally

Minimum Qualifications:

5+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech Processing, Conversational AI, AI-Infrastructure, Fine-tuning and optimizations of PyTorch models
Software development experience in languages like Python, Java, Go, Rust, C/C++. (at least one)
Direct experience working with Large Language Models (LLMs) beyond just API interactions
Experience with at least one deep learning framework such as PyTorch and/or JAX
Experience building cloud solutions on any cloud. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
Experience communicating and presenting to technical and business audiences

Preferred Qualifications:

BS, MS or Ph.D. degree in Computer Science or related quantitative field
Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow or MXNet)
Experience building Deep Learning - Computer Vision or Natural Language Processing or Recommender Systems models using the frameworks
Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale
Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS)
Experience of launching a product / service or application into market is a plus
Knowledge of Mobile/IoT for deploying ML models at the edge is a plus
Contributed to an Open Source project, submitted PRs for features/ fixed bugs and/or created sample applications in OSS or participated in Kaggle competition
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Apply Now

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