Senior AI Solutions Architect
1 week ago
Job DescriptionAs a Generative AI Engineer, you will be responsible for developing and implementing innovative AI solutions using modern frameworks and cloud-based tools. You will work across cross-functional teams to deliver high-impact AI/ML applications for diverse industries.The ideal candidate will have experience in developing AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.Key Responsibilities:Develop and implement AI/ML and Generative AI solutions across various domains.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.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.Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements.Maintain and enhance data infrastructure for collecting, cleaning, and analysing 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.Contribute to the development of frameworks, capabilities, and features for our global GenAI platform and TechHub.RequirementsExperience in developing AI/ML and Generative AI solutions.Expertise in modern frameworks and cloud-based tools.Knowledge of statistics, machine learning, NLP, and generative models.Ability to work with RAG techniques and tools.Experience in building scalable APIs using Python frameworks.Collaboration and communication skills.BenefitsOpportunity to work on cutting-edge AI/ML projects.Chance to collaborate with cross-functional teams.Professional growth and development opportunities.Competitive compensation and benefits package.
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