AI Engineer

6 - 11 years

8 - 13 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Roles & responsibilities:

We are seeking a highly motivated AI Engineer AI with a keen interest in Generative AI and Data Science. This role is designed for fresh graduates or entry-level professionals who want to build expertise in AI model development, data analytics, and cutting-edge AI technologies. You will work closely with senior engineers and data scientists on real-world projects, gaining hands-on experience in AI research, model development, and deployment-
  • Assist in developing and fine-tuning Generative AI models (e.g., GPT, GANs, VAEs, Diffusion models).
  • Work with large datasets to preprocess, clean, and analyze data for AI applications.
  • Develop and optimize machine learning models for various AI-driven solutions.
  • Collaborate with cross-functional teams to integrate AI models into products and services.
  • Conduct literature reviews and research on the latest AI advancements.
  • Write clean, efficient, and well-documented code for AI models and data pipelines.
  • Participate in brainstorming and problem-solving sessions to enhance AI solutions.
  • Test and validate AI models for accuracy, efficiency, and robustness.
  • Stay updated with emerging trends in AI, deep learning, and data science.

Required Skills & Qualifications:

  • Bachelor s/Master s degree in Computer Science, Data Science, AI, Machine Learning, Mathematics, or a related field.
  • Strong programming skills in Python (TensorFlow, PyTorch, NumPy, Pandas, Scikit-learn).
  • Knowledge of deep learning architectures and experience with neural networks.
  • Familiarity with NLP, image processing, and generative models.
  • Understanding of data preprocessing, feature engineering, and statistical analysis.
  • Experience with SQL, NoSQL databases, and cloud platforms (AWS, Azure, GCP) is a plus.
  • Strong problem-solving and analytical skills with a passion for AI and innovation.
  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Hands-on experience with Transformer models (GPT, BERT, LLaMA, etc.).
  • Knowledge of Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
  • Familiarity with MLOps, model deployment, and API development.
  • Participation in AI hackathons, research projects, or open-source contributions.

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