Senior AI/ML Engineer - NLP/Deep Learning

5 - 8 years

4 - 7 Lacs

Posted:2 weeks ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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:

  • Utilize 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

Deployment & Integration:

  • 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

Innovation & Collaboration:

  • 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

Required Skills:

  • 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

Preferred 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

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