Collaborate with the AI research team to design and develop AI models tailored to address specific challenges in the food industry.
Conduct research and experiments to explore novel approaches in LLM and Deep Learning for solving real-world problems related to food production, distribution, and consumption.
Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring accuracy, reliability, and scalability.
Implement algorithms and techniques for natural language processing, logic reasoning, and mathematical modeling to extract valuable insights from diverse sources of data.
Develop APIs for seamless integration of AI models with existing systems and third-party tools, ensuring compatibility, efficiency, and reliability.
Integrate AI solutions with third-party tools and platforms to enhance functionality and performance, leveraging APIs and SDKs for seamless data exchange and collaboration.
Perform quality assurance (QA) testing to validate the functionality, performance, and reliability of AI models, APIs, and integrated systems.
Utilize Python stack and Conda-like technologies for development, ensuring consistency, reproducibility, and scalability of AI solutions.
Collaborate with cross-functional teams to identify requirements, define specifications, and prioritize features for API development and integration.
Stay updated on the latest advancements in AI, LLM, and Deep Learning research, as well as emerging tools and technologies for API creation and integration.
Qualifications:
Currently pursuing or recently graduated from a top-tier college or university, with a focus on computer science, artificial intelligence, machine learning, or related fields.
Strong understanding of AI concepts, including machine learning algorithms, deep learning architectures, and natural language processing techniques.
Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks for AI development.
Experience with API development and integration, including RESTful APIs, web services, and data exchange protocols.
Familiarity with third-party tools and platforms for AI development, such as cloud services (AWS, Azure, Google Cloud), data analytics tools, and collaboration platforms.
Knowledge of Python stack and tech frameworks like Conda for development and environment management.
Excellent analytical and problem-solving skills, with a keen interest in tackling complex challenges and driving innovation.
Ability to work independently as well as collaboratively in a team environment, with strong communication and interpersonal skills.
Startup mindset with a passion for entrepreneurship, adaptability to dynamic and fast-changing environments, and a willingness to take on diverse responsibilities.
Prior experience or coursework in LLM and Deep Learning applications in the food industry is a plus, but not required.
Benefits:
Accommodation and free food provided for candidates outside Lucknow.
Monthly stipend of 4000 INR.
Opportunity for hands-on experience and mentorship from industry experts in AI and technology.
Potential for full-time employment with FoodNEST(S) Technologies upon successful completion of the internship.
Chance to be part of a dynamic and innovative startup that is reshaping the future of the food industry through technology-driven solutions.