Job Title : Data Science Developer - AI/ML
Experience : 2-4 Years
Location : Mumbai
Roles & Responsibilities:
- Collaborate with cross-functional teams to understand business needs and leverage data for solutions.
- Mine analyze and interpret data to optimize product development marketing and business strategies.
- Develop custom data models and algorithms for structured and unstructured datasets.
- Implement models and monitor performance accuracy and outcomes.
- Build multi-lingual generative AI applications and AI/ML pipelines.
- Develop processes and tools for monitoring and improving model performance.
Requisites:
- or equivalent in Electronics Computer Science Data Science AI or Machine Learning.
- Proficiency in Python for data analysis and model development.
- Experience in NLP Machine Learning Deep Learning and AI/ML application development.
- Familiarity with Git CI/CD pipelines Ansible and unit testing.
- Good to have: Streamlit for interactive apps TensorFlow/PyTorch LLM adaptation prompt-engineering Retrieval-Augmented Generation (RAG) vector databases and NLP model fine-tuning.
- Understanding of ranking techniques for search and retrieval.
- Strong analytical problem-solving and collaboration skills.
Required Skills:
AI applicationsAI/ML pipelinesCI/CD pipelinesDeep LearningMachine Learning
Job Title : Data Science Developer - AI/MLExperience : 2-4 YearsLocation : MumbaiRoles & Responsibilities: Collaborate with cross-functional teams to understand business needs and leverage data for solutions. Mine analyze and interpret data to optimize product development marketing and business st...
Job Title : Data Science Developer - AI/ML
Experience : 2-4 Years
Location : Mumbai
Roles & Responsibilities:
- Collaborate with cross-functional teams to understand business needs and leverage data for solutions.
- Mine analyze and interpret data to optimize product development marketing and business strategies.
- Develop custom data models and algorithms for structured and unstructured datasets.
- Implement models and monitor performance accuracy and outcomes.
- Build multi-lingual generative AI applications and AI/ML pipelines.
- Develop processes and tools for monitoring and improving model performance.
Requisites:
- or equivalent in Electronics Computer Science Data Science AI or Machine Learning.
- Proficiency in Python for data analysis and model development.
- Experience in NLP Machine Learning Deep Learning and AI/ML application development.
- Familiarity with Git CI/CD pipelines Ansible and unit testing.
- Good to have: Streamlit for interactive apps TensorFlow/PyTorch LLM adaptation prompt-engineering Retrieval-Augmented Generation (RAG) vector databases and NLP model fine-tuning.
- Understanding of ranking techniques for search and retrieval.
- Strong analytical problem-solving and collaboration skills.
Required Skills:
AI applicationsAI/ML pipelinesCI/CD pipelinesDeep LearningMachine Learning
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