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Senior AI / ML Engineer - NLP / Deep Learning

Senior AI / ML Engineer - NLP / Deep Learning

ConfidentialPune
30+ days ago
Job description

We are seeking a highly skilled Senior AI / ML Engineer with extensive expertise in machine learning, deep learning, and AI model development. You will be responsible for designing, developing, and deploying end-to-end AI / ML models, with a strong focus on NLP and Python . This role requires proficiency in frameworks like TensorFlow and PyTorch , and experience with cloud-based AI solutions to solve complex business problems.

Roles & Responsibilities :

  • Design, develop, and deploy AI / ML models for real-world applications.
  • Work with NLP, deep learning , and traditional ML algorithms to solve complex business problems.
  • Develop end-to-end ML pipelines , including data preprocessing, feature engineering, model training, and deployment.
  • Optimize model performance using hyperparameter tuning and model evaluation techniques.
  • Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face , and similar frameworks.
  • Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction.
  • Deploy models in cloud environments ( AWS, Azure, or GCP ) using SageMaker, Vertex AI, or Azure ML.
  • Collaborate with cross-functional teams to integrate AI models into production systems.
  • Ensure scalability, performance, and efficiency of AI / ML solutions.
  • Stay updated with emerging AI trends and technologies to drive innovation.

Skills Required :

  • Strong experience in machine learning, deep learning, NLP , and AI model development.
  • Proficiency in Python, TensorFlow, PyTorch , and Scikit-learn .
  • Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification).
  • Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models) is a plus.
  • Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI / CD for ML models).
  • Experience in working with cloud platforms (AWS, Azure, GCP) for AI / ML model deployment.
  • Strong knowledge of SQL, NoSQL databases , and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc.).
  • Familiarity with API development using Django, Flask, or FastAPI for AI solutions.
  • Strong problem-solving, analytical, and communication skills.
  • Experience with AI-powered chatbots, OpenAI API integration , and exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications is a plus.
  • Hands-on experience in generative AI models is a plus.
  • QUALIFICATION :

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Skills Required

    Python, Tensorflow, Pytorch, Machine Learning, Computer Vision

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