AI / ML / GenAI Architect
ACL DigitalBengaluru, Karnataka, India16 days ago
Job description10+ years of progressive experience in designing and implementing enterprise-grade AI / ML solutions. Minimum of 3 successful end-to-end project implementations of AI / ML / GenAI solutions in production environments, demonstrating strong business impact and scalability. Deep expertise in Generative AI architectures, including but not limited to : Large Language Models (LLMs) - prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, prompt chaining, agentic workflows. Generative Adversative Networks (GANs), Variational Autoencoders (VAEs), Diffusion Models, etc. Experience with various LLM frameworks / libraries (e.g., LangChain, LlamaIndex). Proven experience with leading cloud AI platforms (at least one of the following) : AWS : SageMaker, Comprehend, Textract, Polly, Bedrock, etc. Azure : Azure Machine Learning, Azure OpenAI Service, Cognitive Services. GCP : Vertex AI, Google Cloud AI Platform, Google Cloud Vision / Natural Language AI. Strong understanding of core Machine Learning concepts and algorithms : Supervised, Unsupervised, Reinforcement Learning, Deep Learning. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn, Hugging Face Transformers). Experience with MLOps principles and tools : CI / CD for ML, model versioning, monitoring, deployment, drift detection (e.g., MLflow, Kubeflow, Sagemaker MLOps services, Azure ML pipelines). Solid understanding of data engineering principles relevant to AI / ML workloads (data pipelines, ETL / ELT, data governance, feature stores). Strong knowledge of distributed computing frameworks (e.g., Spark, Dask) for large-scale data processing. Exceptional communication skills (written and verbal) : Ability to articulate complex technical concepts to both technical and non-technical stakeholders, conduct compelling presentations, and influence decision-making. Demonstrated experience in leading architectural design discussions and making critical technical decisions. Problem-solving mindset with the ability to troubleshoot and resolve complex technical issues in production.
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Architect • Bengaluru, Karnataka, India
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