
Senior AI Development Specialist
1 week ago
We are seeking a highly experienced Machine Learning Engineer/Data Scientist to lead our ML/GenAI development.
As a senior team member, you will be responsible for designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for clients.
Key Responsibilities:
- Design, develop and operationalize existing ML models by fine tuning, personalizing it.
- 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.
Requirements:
- At least 3 years of experience in designing & building AI applications for clients and deploying them into production
- At least 5 years of Software engineering experience in building Secure, scalable and performant applications for clients.
- Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.
- Hands on customer experience with RAG solution or fine tuning of LLM model.
- Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform 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.
- 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.
Desirable Skills:
- 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
- Master's degree in statistics, machine learning or related fields.
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