Role Overview:
We are looking for an AI Engineer with a strong foundation in machine learning data analysis and growing expertise in LLMs and Generative AI. The ideal candidate should be passionate about deriving insights from data proposing impactful use cases and building intelligent solutions that create business value.
Key Responsibilities:
- Analyze structured and unstructured data to identify trends patterns and opportunities.
- Propose and validate AI/ML use cases based on business data and stakeholder requirements.
- Build evaluate and deploy machine learning models for classification regression clustering etc.
- Work with LLMs and GenAI tools to prototype and integrate intelligent solutions such as chatbots summarization and content generation.
- Collaborate with data engineers product managers and business teams to deliver end-to-end solutions.
- Ensure data quality model interpretability and ethical AI practices.
- Document experiments share findings and contribute to internal knowledge sharing.
Required Skills & Qualifications:
- Bachelors or Masters degree in Computer Science Data Science Statistics or related field.
- 2 4 years of hands-on experience in Data Science Machine Learning or AI Engineering.
- Strong proficiency in Python and ML libraries.
- Experience working with Google Gemini.
- Experience in data wrangling feature engineering and model evaluation.
- Exposure to LLMs and GenAI tools such as Hugging Face LangChain and OpenAI APIs.
- Familiarity with cloud platforms (AWS GCP or Azure) and version control tools like Git.
- Strong communication and storytelling skills with a data-driven mindset.
Role Overview: We are looking for an AI Engineer with a strong foundation in machine learning data analysis and growing expertise in LLMs and Generative AI. The ideal candidate should be passionate about deriving insights from data proposing impactful use cases and building intelligent solutions tha...
Role Overview:
We are looking for an AI Engineer with a strong foundation in machine learning data analysis and growing expertise in LLMs and Generative AI. The ideal candidate should be passionate about deriving insights from data proposing impactful use cases and building intelligent solutions that create business value.
Key Responsibilities:
- Analyze structured and unstructured data to identify trends patterns and opportunities.
- Propose and validate AI/ML use cases based on business data and stakeholder requirements.
- Build evaluate and deploy machine learning models for classification regression clustering etc.
- Work with LLMs and GenAI tools to prototype and integrate intelligent solutions such as chatbots summarization and content generation.
- Collaborate with data engineers product managers and business teams to deliver end-to-end solutions.
- Ensure data quality model interpretability and ethical AI practices.
- Document experiments share findings and contribute to internal knowledge sharing.
Required Skills & Qualifications:
- Bachelors or Masters degree in Computer Science Data Science Statistics or related field.
- 2 4 years of hands-on experience in Data Science Machine Learning or AI Engineering.
- Strong proficiency in Python and ML libraries.
- Experience working with Google Gemini.
- Experience in data wrangling feature engineering and model evaluation.
- Exposure to LLMs and GenAI tools such as Hugging Face LangChain and OpenAI APIs.
- Familiarity with cloud platforms (AWS GCP or Azure) and version control tools like Git.
- Strong communication and storytelling skills with a data-driven mindset.
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