AI Engineer

2 days ago

Hyderabad, India Tek Support Full time

Job Title: AI Engineer Experience Required: 10+ Years Location: Remote Position Overview: We are seeking an experienced AI Engineer Traineer with over a decade of expertise in designing, developing, and deploying artificial intelligence and machine learning solutions. The role involves architecting end-to-end AI systems, applying advanced models to real-world problems, and ensuring scalability, accuracy, and compliance with industry standards. The candidate will be responsible for driving AI initiatives across enterprise applications, collaborating with cross-functional teams, and integrating AI into digital transformation programs. Key Responsibilities: Designed and implemented advanced machine learning, deep learning, and natural language processing (NLP) models for business-critical applications. Built and optimized scalable AI pipelines, from data ingestion and preprocessing to model training, deployment, and monitoring. Deployed AI models using MLOps frameworks with CI/CD, versioning, and automated retraining strategies. Applied computer vision, reinforcement learning, and generative AI for domain-specific use cases. Optimized model performance, accuracy, and interpretability through feature engineering and hyperparameter tuning. Integrated AI solutions with cloud environments (AWS SageMaker, Azure ML, Google Vertex AI). Established AI governance, bias detection, and compliance frameworks to ensure ethical and transparent use of AI. Collaborated with data scientists, software engineers, and business stakeholders to translate requirements into scalable AI solutions. Published documentation, conducted technical reviews, and supported knowledge transfer across teams. Drove innovation by evaluating emerging AI technologies and applying them to enterprise needs. Top Skills & Competencies: Programming: Python, R, Java, C++ Machine Learning & Deep Learning: TensorFlow, PyTorch, Keras, Scikit-learn Natural Language Processing: Transformers, Hugging Face, spaCy, NLTK Generative AI: LLMs, diffusion models, prompt engineering Computer Vision: OpenCV, YOLO, Detectron2 Data Engineering: Spark, Hadoop, Kafka, SQL/NoSQL databases MLOps & Deployment: MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines Cloud Platforms: AWS SageMaker, Azure ML, Google Vertex AI Governance & Compliance: Model monitoring, bias detection, explainability, AI ethics frameworks Strong analytical, problem-solving, and collaboration skills

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