Advanced AI Developer

2 days ago

Jodhpur, India beBeeMachineLearning Full time

About the OpportunityWe are seeking a skilled professional to join our team as a Machine Learning Engineer. In this role, you will be responsible for designing and implementing cutting-edge machine learning models and algorithms.Key ResponsibilitiesDevelop and validate machine learning models and algorithms.Collaborate with cross-functional teams to understand project goals and objectives.Maintain data infrastructure and ensure scalability and efficiency of data-related operations.Stay up-to-date with advancements in AI and recommend ways to implement them in our operations.Communicate complex data insights clearly and understandably to non-technical stakeholders.Required Skills and QualificationsStrong foundation in computer architecture, data structures, system software, and machine learning fundamentals.Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth, and compute.Experience with Vector databases like Qdrant, ChromaDB, Pinecone, PGVector or similarExperience with Large language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral etcExperience in design, build, and optimization of agentic AI workflows that enable autonomous reasoning, decision-making, and tool interaction using frameworks like LangChain, LangGraph, CrewAI, etc.Experience in implementation and fine-tuning Generative AI solutions (e.g., LLMs, multimodal models) for various business use cases.Experience in LLM integration framework like Llamaindex, Ragas, etcExperience with ML Models from definition to deployment, including training, quantization, sparsity, model preprocessing, and deployment.Proficiency in Python development in a Linux environment and using standard development tools.Experience with deep learning frameworks (such as PyTorch, Tensorflow, Keras, Spark).Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).Experience in training, tuning, and deploying ML models for Computer Vision (e.g., ResNet), and/or Recommendation Systems (e.g., DLRM).Experience deploying ML workloads on distributed systems.Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.2-4 years of hands-on experience in AI/MLWhat We OfferA competitive compensation package, opportunities for growth and development, and a dynamic work environment.We are an equal opportunity employer and welcome applications from diverse candidates.

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