Lead Engineer-AI/ML

8 - 12 years

12 - 17 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Roles and Responsibilities
  • Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation.
  • Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training.
  • Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs.
  • Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization.
  • Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production.
  • Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability.
  • Document and communicate technicals pecifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices.
  • Qualifications Required
  • Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus.
  • Experience: 8-12 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models.
  • Skills and Experience Required
  • GenerativeAI: Transformer Models, GANs, VAEs, Text Generation, Image Generation
  • Machine Learning: Algorithms, Deep Learning, Neural Networks
  • Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, Tensor Flow
  • MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure)
  • Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning
  • Why you'll love working with us:
  • Opportunity to work on technical challenges with global impact.
  • Vast opportunities for self-development, including online university access and sponsored certifications.
  • Sponsored Tech Talks &Hackathons to foster innovation and learning.
  • Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
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