
Chief AI Architect
2 days ago
We are seeking an experienced Machine Learning Engineer to join our team. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery.
The ideal candidate will have at least 3 years of experience in designing & building AI applications for customers and deploying them into production.
Key Responsibilities:
- Evaluate machine learning models and perform necessary tuning.
- Develop prompts that instruct LLM to generate relevant and accurate responses.
- Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.
- Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.
Required Skills and Qualifications:
- At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers.
- 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.
- Good understanding of natural language processing, computer vision or other deep learning techniques.
- 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.
Good to Have:
- Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.
- 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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