Senior Engineer - AI/ML

Hyderabad,India
4 - 8 Years
Full Time

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 technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices.

Qualifications Required

  • Educational Background: Bachelor’s or Master’s 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: 4 - 8 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

  • Generative AI: 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, TensorFlow
  • MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure)
  • Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

Why you'll love working with us:

  • BRING YOUR PASSION AND FUN. Corporate culture woven from highly diverse perspectives and insights.  
  • BALANCE WORK AND PERSONAL TIME LIKE A BOSS. Resources and flexibility to more easily integrate your work and your life.  
  • BECOME A CERTIFIED “SMARTY PANTS.” Ongoing training and development opportunities for even the most insatiable learner.  
  • START-UP SPIRIT (Good ten plus years, yet we maintain it) 
  • FLEXIBLE WORKING HOURS

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