Senior AI/ML Engineer

1 week ago


Bengaluru, Karnataka, India beBeeMachineLearningEngineer Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

We are seeking an experienced AI/ML professional to join our team.

As a senior member, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery.

Key Responsibilities:

  • Evaluate machine learning models and perform necessary tuning.
  • Develop prompts that instruct LLMs to generate relevant and accurate responses.
  • Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development.
  • Conduct thorough analysis to evaluate LLM responses and iteratively modify prompts to improve LLM performance.

Requirements:

  • At least 3 years of experience in designing & building AI applications
  • At least 5 years of Software engineering experience in building Secure, scalable and performant applications
  • Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.
  • Design, develop, and operationalize existing ML models by fine tuning, personalizing it.
  • Hands on customer experience with RAG solutions or fine tuning of LLM models.
  • Build and deploy scalable machine learning pipelines on cloud platforms involving data warehouses, machine learning platforms, dashboards or CRM tools.
  • Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).
  • Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.
  • Excellent communication, collaboration, and problem-solving skills.

Preferred Qualifications:

  • Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications.
  • Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.
  • Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows
  • Experience with AutoML and vision techniques.
  • Master's degree in statistics, machine learning or related fields.

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