Greetings!
This is Avanish from NLB Services. We are a global recruitment company with a specialization in hiring IT professionals. One of our clients is looking for a GenAI Developer/Engineer in USA (Remote).
Position: GenAI Developer/Engineer
Location: USA (Remote)
Type: Contract
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 ML services (e.g., Workbench, Vertex AI Studio, Model Garden etc.). Design, develop, and implement Gen AI, NLP & ML 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
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/ML (e.g., Vertex AI Platform, AutoML, BigQuery ML, 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/ML (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
Avanish Pandey
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Next Level Business Services, Inc.
avanish...@recruiter.nlbtech.com