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Job Closed

Lead AI/ML Engineer

  • Source: LinkedIn
  • YASH Technologies
  • On-site
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Job Overview:

Locations- Hyderabad

We are looking for a AI/ML Lead to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing machine learning and generative AI models to solve real-world challenges.

Key Responsibilities:

• Develop and optimize ML, NLP, Deep Learning, and Generative AI models.

• Research and implement state-of-the-art algorithms for supervised and unsupervised learning.

• Work with large-scale datasets in distributed environments.

• Understand business processes to select and apply the best ML approaches.

• Ensure scalability and performance of ML solutions.

• Collaborate with cross-functional teams, including product owners, designers, and developers.

• Solve complex data integration and deployment challenges.

• Communicate results effectively using data visualization.

• Work in global teams across different time zones.

Required Skills & Experience:

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI .

• Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers .

• Experience with LLMs (Large Language Models), model fine-tuning, and prompt engineering .

• Proficiency in Python, R, or Scala for ML development.

• Knowledge of cloud-based ML platforms (AWS, Azure, GCP).

• Experience with big data processing (Spark, Hadoop, or Dask).

• Ability to scale ML models from prototypes to production .

• Strong analytical and problem-solving skills.

If you’re passionate about pushing the boundaries of ML and GenAI , we’d love to hear from you!

Skills

  • Tensorflow
  • PyTorch
  • hugging-face
  • Transformers
  • Python
  • Scala
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Spark
  • Hadoop
  • apache-hadoop
  • dask
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