Artificial Intelligence Intern
Assetcues Solutions Private Limited
Pune, Maharashtra, India · પૂર્ણ-સમય ઇન્ટર્નશિપ
અરજી કરનારા સૌ પ્રથમ બનો
- સ્ટાઇપેન્ડ
- સ્ટાઈપેન્ડ: INR 10,000 – INR 20,000 / મહિનો
- સમયગાળો
- ૬ મહિના
- શરૂઆત
- તરત જ
- ઓપનિંગ્સ
- 2
Candidates must be available full-time onsite in Pune, able to start between July 14 and August 18, 2026, commit to a six-month internship, and possess relevant AI-related skills and interests.
- કાર્ય મોડ
- ઓફિસમાં
- શિક્ષણ
- Currently pursuing or recently completed degree in Computer Science, Artificial Intelligence, Data Science, or related technical disciplines.
- ફરી શરૂ કરો
- અરજી કરવી જરૂરી છે
ઇન્ટર્નશિપ વિશે
About the Internship
Join AssetCues as an Artificial Intelligence Intern where your primary role will involve developing, testing, and refining AI-driven solutions to enhance business capabilities. You will engage in hands-on tasks including implementing AI models to address unique business challenges and advance product functionalities.
Responsibilities
- Create and test AI models tailored to solve specified business issues or improve product features.
- Train, assess, and optimize machine learning models targeting areas such as natural language processing (NLP) and computer vision.
- Leverage large language models (LLMs) and generative AI tools to build prototypes, aid software development, and streamline automated workflows.
- Collaborate closely with engineering teams to integrate AI components into existing software frameworks and identify opportunities for enhancement.
- Maintain clear documentation regarding model designs, experiments, and technical insights for team communication and project tracking.
- Continuously monitor advancements in AI and machine learning fields to propose innovative solutions for ongoing initiatives.
Eligibility Criteria
- Applicants must be available for a full-time, in-office internship based in Pune.
- Internship commencement should be between July 14, 2026, and August 18, 2026, lasting for six months.
- Candidates should possess relevant technical skills and a strong interest in AI domains.
- Applicants must either be currently pursuing or have recently completed degrees in Computer Science, Artificial Intelligence, Data Science, or related fields.
Qualifications and Skills
- Deep understanding of the machine learning lifecycle, data structures, and core algorithms.
- Strong programming skills in Python along with experience using libraries such as NumPy, Pandas, and Scikit-learn.
- Experience working with deep learning frameworks like PyTorch or TensorFlow.
- Competency in using AI development tools with critical evaluation of outputs.
- Portfolio demonstrating projects involving machine learning, NLP, or AI applications.
- Familiarity with API integration to connect AI models with external services.
- Hands-on experience building and deploying AI-related web services using FastAPI or Flask.
- Knowledge of LLM orchestration frameworks such as LangChain or LangGraph for constructing agentic workflows.
- Basic database management skills for handling model-related data storage and retrieval.
- Understanding of cloud platforms like AWS, Azure, or Google Cloud Platform for AI deployment and operations.
- Exceptional attention to detail, innovative problem-solving abilities, and a proactive attitude toward learning.
Compensation and Benefits
The internship offers a monthly stipend ranging from INR 10,000 to INR 20,000. Additional advantages include a certificate of internship completion, a letter of recommendation, and the flexibility to dress informally at the workplace.
About AssetCues
AssetCues is a globally recognized AI-powered asset management platform designed specifically for CFO offices to maintain accurate, real-time records of physical asset existence, status, location, and custody. Its client base spans industries such as pharmaceuticals, manufacturing, banking, and hospitality. With offices spread across the USA, UAE, and India and partnerships worldwide, AssetCues delivers comprehensive asset management solutions on an international scale.