Generative AI Architect - Predictive Modeling

Job title : Generative AI Architect.

Location : Remote.

Type : Full-Time.

AI/ML & Generative AI Architect.

Job Summary :

We are seeking a highly skilled and motivated AI/ML & Generative AI Architect to join our growing team. This role requires deep expertise in artificial intelligence and machine learning with a particular focus on Generative AI, LLMs, NLP, and Recommendation & Predictive Modelling. The ideal candidate will have experience developing innovative AI solutions using modern frameworks and cloud-based tools, working across cross-functional teams, and delivering high-impact AI/ML applications for diverse industries.

Key Responsibilities :

- Design, develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.

- Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.

- Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers.

- Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain, LlamaIndex, and vector databases like FAISS and Milvus.

- Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock).

- Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework, or FastAPI.

- Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring.

- Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements.

- Maintain and enhance data infrastructure for collecting, cleaning, and analyzing large-scale datasets.

- Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.

- Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value.

- Demonstrate innovation in Private AI and Smart Agent Solutions, ensuring data privacy and intelligent automation.

- Stay current with trends and advancements in AI, GenAI, LLMs, and related fields.

Minimum Qualifications :

- 5+ years of experience using Python and relevant packages for ML and data science.

- 3+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions.

- 10+ year(s) of experience participating in projects that focused on one or more of the following areas :

- Predictive Analytics.

- Data Integrations.

- System Design and architecture.

- AI/ML.

- ML Ops.

- Strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.

- Hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.

Soft Skills :

- Strong problem-solving skills and critical thinking.

- Effective communicator capable of translating complex AI topics to stakeholders.

- Self-driven, collaborative, and adaptable to fast-paced environments.