Sr. Artificial Intelligence Engineer Job in
- Kpr sugar apperals
- 8 to 12 Yrs
- All India
- 10 months ago
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Job Description
- Artificial Intelligence Engineer Senior Level Location: [Remote] Job Type: [Part Time/Contract] Experience: 8+ Years Job Summary: We are seeking a highly skilled Artificial Intelligence Engineer with deep hands-on expertise in AI/ML, deep learning, and advanced AI architectures. The ideal candidate will have extensive experience in designing, developing, and deploying AI-driven solutions using cutting-edge technologies. You will work with large-scale datasets, optimize AI models, and integrate AI into real-world applications across various industries. Key Responsibilities: Architect, design, and implement AI-driven solutions for complex real-world problems. Develop and optimize machine learning (ML) and deep learning (DL) models for NLP, Computer Vision, Speech Processing, and Generative AI applications. Build, train, fine-tune, and deploy transformer-based models (BERT, GPT, LLaMA, Stable Diffusion, etc.). Work with large-scale datasets, ensuring high-quality preprocessing, feature engineering, and model optimization. Utilize cloud AI services (AWS SageMaker, Azure ML, GCP Vertex AI) for model deployment and scalability. Develop high-performance deep learning pipelines leveraging PyTorch, TensorFlow, JAX, ONNX, and Hugging Face frameworks. Optimize AI models using quantization, pruning, and distillation techniques for efficiency and deployment on edge devices. Implement and optimize MLOps pipelines for model lifecycle management, CI/CD, monitoring, and retraining. Develop AI solutions with LLMs (Large Language Models), Generative AI, and Reinforcement Learning (RL). Ensure AI models comply with ethical AI principles, security policies, and regulatory frameworks. Required Skills & Experience: 8+ years of hands-on experience in AI, ML, and Deep Learning. Expert in Machine Learning & Deep Learning frameworks: PyTorch, TensorFlow, JAX, ONNX. Strong experience in Large Language Models (LLMs) and Generative AI: OpenAI GPT, BERT, T5, DALLE, etc. Advanced knowledge of Neural Networks, CNNs, RNNs, GANs, Autoencoders, and Attention Mechanisms. Experience in Natural Language Processing (NLP), Computer Vision (CV), and Reinforcement Learning (RL). Expertise in Model Optimization Techniques: Quantization, Pruning, Knowledge Distillation. Proficiency in AI-based Data Engineering: Feature extraction, dimensionality reduction, and anomaly detection. Experience with cloud-based AI services: AWS SageMaker, Azure ML, GCP Vertex AI. Strong programming skills in Python (NumPy, Pandas, Scikit-learn, FastAPI, Flask) and C++ (optional). Hands-on experience with AI Infrastructure & Deployment: Kubernetes, Docker, TensorRT, MLflow, Kubeflow. Deep understanding of vector databases and embedding models (FAISS, Pinecone, ChromaDB). Proven experience in AI security & ethical AI compliance. Job Types: Part-time, Freelance Contract length: 48 months Expected hours: No less than 5 per week Benefits: Flexible schedule Work from home Schedule: US shift Work Location: Remote Application Deadline: 10/03/2025 Expected Start Date: 03/03/2025,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Sr. Artificial Intelligence Engineer Job inContact Details:
Company: Staffbee SolutionsLocation(s): All India
Keyskills: ML Deep Learning NLP Computer Vision Speech Processing JAX Pruning Feature extraction Dimensionality reduction Anomaly detection Python NumPy Flask Kubernetes Docker AI PyTorch TensorFlow BERT Pandas
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