AI Application Designer

2 weeks ago

Hyderabad, Telangana, India beBeeDataScience Full time ₹ 20,00,000 - ₹ 25,00,000
Job Description

We are seeking a highly motivated and experienced Data Science Professional to join our team.

You will play a key role in designing, developing, and productionalizing machine learning applications by evaluating models, training, and/or fine-tuning them. You will also develop Gen AI-based solutions for customers.

Key Responsibilities:

  • Design and build AI applications for customers and deploy them into production.
  • Develop secure, scalable, and performant applications for customers.
  • Experience with document extraction using AI, conversational AI, vision AI, NLP, or Gen AI.
  • 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 performance.
  • Build and deploy scalable machine learning pipelines on cloud platforms involving data warehouses, machine learning platforms, dashboards, or CRM tools.
  • Proven experience building and deploying machine learning models in production environments for real-life applications.
  • Good understanding of natural language processing, computer vision, or other deep learning techniques.

Requirements:

  • At least 3 years of experience in designing & building AI applications for customers and deploying them into production.
  • At least 5 years of software engineering experience in building secure, scalable, and performant applications for customers.
  • 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 or equivalent.
  • Experience working with one or more public cloud platforms - namely GCP, AWS, or Azure.
  • Experience with AutoML and vision techniques.
  • Master's degree in statistics, machine learning, or related fields.

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