Gen AI Developer

Job Description:
Responsibilities:

• Design AI Solutions: Architect and design scalable, reliable, and high-performance AI solutions leveraging the capabilities of Google Cloud Platform.Design, develop, and implement Generative AI models and algorithms, using Huggingface LLM models (Falcon, Llama2), Google (PaLM, Gemini), Open AI
• Gen AI Model Development: Lead the development and deployment of machine learning models using GCP's AI and Client services (e.g., Workbench, Vertex AI Studio, Model Garden etc.). Design, develop, and implement Gen AI, NLP & Client models
• LLM Ops - Productionize models – model training, model deployment, model serving, model monitoring. Optimize Generative AI models for improved performance, scalability, and efficiency.
• Client Consultation
• Conduct thorough consultations with clients to comprehend their business goals, challenges, and requirements.
• Act as a trusted advisor, providing insights into how Gen AI solutions can drive value and enhance business processes.
• Prototyping and Proof of Concept
• Develop prototypes and proof of concept demonstrations to showcase the feasibility and potential impact of proposed Gen AI solutions.
• Iterate on prototypes based on client feedback and technical feasibility.
• Technical Guidance
• Provide technical leadership and guidance to clients regarding the implementation, customization, and maintenance of Gen AI solutions.
• Assist clients in understanding the technical aspects and benefits of AI technologies.
• Requirements Analysis
• Work closely with clients and internal teams to analyze and document detailed requirements for Gen AI projects.
• Translate business requirements into technical specifications and design documents.
• Stakeholder Communication
• Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Present and articulate AI solutions to CXOs with superb story telling narrative in a clear and compelling manner.
• Integration: Collaborate with cross-functional teams to seamlessly integrate Gen AI solutions into existing systems and processes.
• Infrastructure Optimization: Optimize cloud infrastructure for Gen AI workloads, ensuring cost-effectiveness and performance.
• Data Pipelines: Design and implement robust data pipelines for Gen AI model training and inference.
• Security and Compliance: Ensure that AI solutions meet security and compliance requirements, working closely with the security team.
• Documentation and Best Practices: Create and maintain documentation for architecture, design patterns, and best practices related to Generative AI on GCP.
• Stay Updated: Stay abreast of the latest trends and advancements in AI and GCP to continuously improve our offerings.
• Conduct research to stay up-to-date with the latest advancements in Generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services.
• Function as a technical or project lead and while mentoring junior engineering talent
• Gen AI Developer with Customer facing exp must

Qualifications:

• Bachelor/Master degree in Computer Science, Artificial Intelligence, Engineering, or related field (Master's or PhD preferred) with 10+ years of experience.
• 2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as Falcon, Llama2, Google PaLM. Gemini & Open AI
• 10+ years of experience architecting and implementing AI solutions on the Google Cloud Platform
• Must have 5+ Telco experience
• 8+ years of experience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
• Proficiency in GCP services relevant to AI/Client (e.g., Vertex AI Platform, AutoML, BigQuery Client, etc.).
• Strong programming skills in languages like Python and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with cloud infrastructure and services beyond AI/Client (e.g., Compute Engine, Kubernetes, etc.).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
• Knowledge of software development methodologies, such as Agile or Scrum.
• Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Preferred Qualifications:

• Google Cloud Professional AI Engineer or Architect Certification.
• Experience with DevOps practices and tools.
• Previous experience in Telco