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Senior AI / ML Engineer - NLP / Deep Learning
ConfidentialChennai30+ days ago
Job descriptionUtilize frameworks like TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and related libraries Work with both structured and unstructured data for tasks including data wrangling, transformation, and feature extraction Deploy models on cloud platforms such as AWS, Azure, or GCP using tools like SageMaker, Vertex AI, or Azure ML Integrate AI / ML models into production systems by collaborating with cross-functional teams Ensure scalability, efficiency, and performance of deployed AI / ML solutions Keep up-to-date with emerging trends in AI, LLMs, and generative AI technologies Collaborate with engineering, data science, and business teams to implement robust, innovative AI-driven solutions Strong experience in machine learning, deep learning, NLP, and AI model development Proficiency in Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models Expertise in NLP techniques like Word2Vec, BERT, transformers, LLMs, and text classification Hands-on experience in computer vision (e.g., CNNs, OpenCV, YOLO, custom object detection models) Solid understanding of ML deployment and MLOps practices (Docker, Kubernetes, CI / CD pipelines) Experience with cloud platforms (AWS, Azure, GCP) for model deployment Proficient in SQL and NoSQL databases and big data tools such as PySpark, Databricks, Hadoop, and Kafka Familiar with API development using Django, Flask, or FastAPI for AI model integration Excellent analytical thinking, problem-solving abilities, and communication skills Experience integrating OpenAI API and building AI-powered chatbots Exposure to LLMs like GPT, LLaMA, Falcon, etc. for real-world applications Hands-on experience with generative AI models
Key Responsibilities :
AI / ML Model Development :
- Design, develop, and deploy AI / ML models for real-world applications
- Work with NLP, deep learning, and traditional machine learning algorithms to address complex business problems
- Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, and deployment
- Optimize model performance using hyperparameter tuning and evaluation techniques
Technology Implementation :
Deployment & Integration :
Innovation & Collaboration :
Required Skills :
Preferred Skills :
Skills Required
Python, Tensorflow, Pytorch, Nlp, Transformers
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