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Senior Machine Learning Engineer

Senior Machine Learning Engineer

STIGYAMumbai, Maharashtra, India
9 days ago
Job description

We at STGYA part of STI Aromas a Hong Kong based company are seeking a highly motivated and skilled AI / ML Engineer with a strong focus on training and fine-tuning Large Language Models (LLMs), Vision Language Models (VLMs), and Small Language Models (SLMs).

The ideal candidate will possess a deep understanding of deep learning principles, experience with state-of-the-art model architectures, and a proven track record of developing and deploying high-performance AI models. You will play a crucial role in advancing our AI capabilities and contributing to the development of innovative AI-powered products and services.

Responsibilities :

Model Training and Fine-tuning : Design, implement, and optimize training pipelines for LLMs, VLMs, and SLMs using large-scale datasets.

  • Experiment with various training techniques, including transfer learning, reinforcement learning, and parameter-efficient fine-tuning (PEFT).
  • Evaluate and improve model performance using relevant metrics and benchmarks.
  • Address model biases and ensure fairness and robustness.

Model Architecture and Development : Research and implement cutting-edge model architectures and techniques for LLMs, VLMs, and SLMs.

  • Adapt and customize existing models to meet specific application requirements.
  • Develop and maintain efficient code for model training and inference.
  • Data Management and Processing : Work with large-scale datasets, including text, images, and multimodal data.

  • Develop data preprocessing and augmentation pipelines to improve model performance.
  • Collaborate with data engineers to ensure data quality and availability.
  • Infrastructure and Deployment : Optimize model training and inference for performance and scalability.

  • Deploy trained models to production environments.
  • Monitor and maintain deployed models.
  • Work with cloud based infrastructure such as AWS, GCP, or Azure.
  • Research and Development : Stay up-to-date with the latest advancements in AI / ML, particularly in LLMs, VLMs, and SLMs.

  • Contribute to research projects and publications.
  • Collaborate with other researchers and engineers to develop innovative AI solutions.
  • Collaboration and Communication : Work closely with cross-functional teams, including product managers, data scientists, and software engineers.

  • Communicate technical concepts and findings effectively to both technical and non-technical audiences.
  • Document all work clearly and effectively.
  • Qualifications :

  • Technical Skills : Strong understanding of deep learning principles and techniques.
  • Extensive experience with training and fine-tuning LLMs, VLMs, and SLMs.
  • Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Experience with transformer-based architectures (e.g., BERT, GPT, T5, ViT).
  • Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
  • Proficiency in Python and other relevant programming languages.
  • Experience with version control systems (e.g., Git).
  • Preferred Skills : Experience with distributed training and large-scale model deployment.

  • Knowledge of natural language processing (NLP), computer vision, and multimodal learning.
  • Experience with reinforcement learning.
  • Experience with prompt engineering.
  • Experience with model quantization and pruning.
  • Soft Skills :

  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Strong passion for AI and machine learning.
  • Ability to adapt to fast changing technologies.
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    Senior Machine Learning Engineer • Mumbai, Maharashtra, India

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