6 - 8 years

5 - 8 Lacs

Posted:10 hours ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

  • Design, develop, and optimize AI/ML models for predictive analytics, classification, NLP, and computer vision.
  • Perform end-of-end data analysis, including data collection, preprocessing, feature engineering, and model evaluation.
  • Build scalable machine learning pipelines and deploy models into production using MLOps best practices.
  • Work with structured and unstructured datasets to extract meaningful insights and drive decision making.
  • Develop and implement deep learning models using frameworks like TensorFlow and PyTorch.
  • Collaborate with cross functional teams, including data engineers, software developers, and business stakeholders, to deliver AI/ML solutions.
  • Implement and optimize algorithms for model accuracy, performance, and scalability.
  • Utilize cloud platforms such as AWS, Azure, or GCP for model training and deployment.
  • Apply statistical techniques and A/B testing to validate AI/ML models.
  • Ensure AI/ML solutions comply with the industrys best practices, security, and ethical AI guidelines.
  • Strong experience in Python, R, or Scala for AI/ML development.
  • Hands on experience with machine learning libraries/frameworks.
  • Experience with NLP techniques (BERT, Transformers, LLMs), computer vision, and reinforcement learning.
  • Strong understanding of MLOps, CI/CD pipelines, and containerization using Docker/Kubernetes.
  • Knowledge of model deployment tools like MLflow, TensorFlow Serving, or AWS SageMaker.
  • Familiarity with cloud computing services (AWS, Azure, GCP) and Big Data technologies.
  • Strong foundation in probability, statistics, and machine learning algorithms.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently and in a team environment.
  • Experience with Generative AI models and LLM finetuning.
  • Good to have Background in AI ethics and model explainability.
  • Good to have Certifications in AI/ML

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