
ai / ml intern
6 days ago
Job Title:
AI/ML Intern
Location:
Hyderabad
Experience:
Fresh / Up to 1 Year (Ph.D. Candidates)
Employment Type:
Internship
About Us:
Instaresz Business Services Pvt Ltd is a forward-thinking, fast-growing technology company that
thrives on building and scaling powerful SaaS products. We are looking for a Ph.D. candidate
for an AI/ML Internship to support research, prototyping, and development of advanced
machine learning and AI solutions.
Key Responsibilities:
* Assist in designing and implementing machine learning models and algorithms.
* Work on data preprocessing, analysis, and feature engineering tasks.
* Support the development of ML pipelines and model evaluation experiments.
* Collaborate with senior engineers and researchers on AI/ML projects.
* Conduct literature reviews and research on state-of-the-art ML techniques.
* Document experiments, methodologies, and results for team knowledge sharing.
* Assist in integrating models into prototypes or experimental applications.
Required Skills & Qualifications:
* Currently pursuing or recently completed a Ph.D. in Computer Science, AI, Machine
Learning, Data Science, or a related field.
* Strong foundation in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
* Understanding of supervised, unsupervised, and deep learning concepts.
* Familiarity with NLP, computer vision, or predictive analytics is a plus.
* Basic experience with cloud platforms (AWS, Azure, GCP) is preferred.
* Strong analytical, problem-solving, and research capabilities.
Preferred Certifications:
* TensorFlow Developer Certificate (optional)
* AWS Certified Machine Learning – Specialty (optional)
Additional Skills (Good to Have):
* Exposure to generative AI models (LLMs, diffusion models).
* Knowledge of reinforcement learning.
* Experience with version control (Git) and reproducible ML workflows.
Why Join Us:
* Hands-on exposure to cutting-edge AI/ML projects.
* Mentorship from senior AI/ML engineers and researchers.
* Collaborative, research-driven, and innovation-focused environment.
* Opportunity to transition into full-time roles based on performance.
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