Location
Chennai | India
Job description
Greetings from FarmwiseAI !
Join Our Innovative Team at the Forefront of GenAI
At FarmwiseAI, we're at the cutting edge of GenAI, transforming industries and lives worldwide. Our team thrives on innovation, diving into the latest in AI technologies like GPT-4, Gemini, DallE, and more. With our focus on Multilingual and Multimodal Models, especially in Indian languages, we're dedicated to making a global impact.
If you're into agri-Tech, your expertise will fuel our mission to innovate for good, from agriculture to education and finance. We're seeking individuals passionate about GenAI's power to solve real-world challenges and ready to make a difference. Join us to push the boundaries of what's possible.
Responsibilities:
- Lead GenAI projects with a focus on areas such as information retrieval, augmented generation, information extraction, machine translation, zero-shot text and image classification, and image generation and segmentation, particularly aiming to revolutionize the agri-tech sector.
- Spearhead innovative and cutting-edge initiatives in multilingual and multimodal AI systems, capable of understanding and generating natural language and images across multiple languages and modalities.
- Utilize and innovate in prompt engineering for optimal AI model outputs.
- Supervise the deployment and maintenance of AI models in cloud computing environments, especially Amazon Web Services (AWS).
- Manage data engineering tasks in collaboration with the Data Engineering team, ensuring efficient data processing and robust analysis pipelines for AI models.
- Mentor junior team members, overseeing code quality, testing, debugging, and documentation to maintain high standards and best practices throughout the project lifecycle.
- Engage in collaborations with international teams on projects involving multilingual Large Language Models.
- Drive the development of agri-tech products and the application of remote sensing technologies to elevate the farming industry with innovative solutions.
Required Skills and Experience:
- Proficiency in Python, including extensive experience with libraries related to machine learning and NLP (transformers, pyautogen, openai, langchain, llama-index, chainlit/streamlit, promptlayer).
- Experience with large language models (LLMs) and AI cloud computing, especially AWS, for scalable data storage, processing, analysis, and machine learning model deployment.
- Strong programming foundation, conversant with algorithm design, data structures, and SQL. Knowledge in Scala, TypeScript/JavaScript, and Java is a plus.
- Familiarity with Agile/Scrum/Kanban methodologies preferred.
Educational and Professional Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Mathematics, Statistics, or a related discipline.
- Minimum of 5 years of related work experience.
Personal Qualities:
- Excellent analytical, problem-solving, and communication skills.
- Ability to collaborate effectively in a multicultural environment.
- Leadership qualities with a focus on innovation and strategic thinking.
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