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Ai Engineer
Ai EngineerNyxaLabs • Secunderabad, Republic Of India, IN
Ai Engineer

Ai Engineer

NyxaLabs • Secunderabad, Republic Of India, IN
8 hours ago
Job description

We're seeking an exceptional AI Engineer with deep expertise in TensorFlow model training to design and build next-generation AI systems. This role focuses on developing sophisticated machine learning models, particularly Large Language Models and NLP solutions, while leveraging AWS cloud infrastructure for scalable deployment.

Key Responsibilities :

  • Design and architect enterprise-scale AI / ML solutions with emphasis on custom model development and training
  • Build, train, and optimize deep learning models using TensorFlow and TensorFlow Extended (TFX)
  • Develop and fine-tune Large Language Models for domain-specific applications
  • Implement advanced NLP pipelines including text classification, named entity recognition, sentiment analysis, and language generation
  • Lead model training infrastructure design, including distributed training strategies and GPU optimization
  • Deploy and manage ML models on AWS SageMaker and AWS Bedrock platforms
  • Establish MLOps practices for model versioning, experiment tracking, and continuous training
  • Optimize model architectures for performance, accuracy, and computational efficiency
  • Conduct thorough model evaluation, validation, and performance benchmarking
  • Collaborate with data engineering teams to build robust training data pipelines
  • Mentor ML engineers and data scientists on TensorFlow best practices and model training techniques

Required Qualifications :

  • 3+ years of hands-on experience in machine learning engineering and AI architecture
  • Expert-level proficiency in TensorFlow 2.X for model development and training
  • Deep understanding of neural network architectures (Transformers, CNNs, RNNs, attention mechanisms)
  • Proven track record training large-scale models, including experience with LLMs
  • Strong expertise in Natural Language Processing and modern NLP techniques
  • Extensive experience with AWS cloud services, particularly SageMaker and Bedrock
  • Solid understanding of training optimization techniques (learning rate scheduling, regularization, gradient accumulation)
  • Experience with distributed training frameworks and multi-GPU / TPU training
  • Strong Python programming skills and experience with NumPy, Pandas, and scikit-learn
  • Knowledge of model compression techniques (quantization, pruning, distillation)
  • Preferred Skills :

  • Experience with Hugging Face Transformers, LangChain, or similar LLM frameworks
  • Familiarity with PyTorch or JAX in addition to TensorFlow
  • Knowledge of reinforcement learning from human feedback (RLHF) techniques
  • Experience with vector databases (Pinecone, Weaviate, ChromaDB) for RAG applications
  • Understanding of prompt engineering and few-shot learning strategies
  • Experience with Kubernetes and containerization (Docker) for ML workloads
  • Publications or contributions to open-source ML projects
  • Technical Skills :

  • Frameworks : TensorFlow, Keras, TensorFlow Serving, TFX
  • Cloud : AWS SageMaker, AWS Bedrock, EC2, S3, Lambda
  • Languages : Python, SQL
  • MLOps : MLflow, Weights & Biases, Kubeflow
  • Tools : Jupyter, Git, Docker, TensorBoard
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    Ai Engineer • Secunderabad, Republic Of India, IN

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