**About PozeSCAF**
PozeSCAF is a preclinical drug discovery company building an integrated AI platform to accelerate pharmaceutical research. Our technology combines advanced machine learning models, large\-scale virtual screening, proprietary compound libraries, and LLM\-integrated knowledge graphs to streamline the drug discovery pipeline from target identification to lead optimisation. We are a fast\-growing team passionate about applying cutting\-edge AI to solve real\-world problems in healthcare.
We are looking for enthusiastic and motivated **AI/ML Interns** to join our growing team. This is an excellent opportunity for recent graduates who have a solid foundation in machine learning fundamentals and hands\-on experience with ML projects. As an intern, you will work alongside our AI specialists on real\-world projects, gain exposure to production\-level ML systems, and contribute to meaningful work in drug discovery.
- Assist in building, training, and evaluating machine learning models for various prediction tasks
- Perform data preprocessing, feature engineering, and exploratory data analysis on diverse datasets
- Collaborate with senior AI engineers to prototype and iterate on model architectures
- Conduct literature reviews and implement state\-of\-the\-art ML techniques from recent publications
- Help prepare visualisations, reports, and presentations to communicate model results and insights
- *Must\-Have Qualifications**
- Recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related field
- Strong understanding of core ML fundamentals: supervised and unsupervised learning, regression, classification, clustering, model evaluation metrics, bias\-variance tradeoff, and cross\-validation
- Hands\-on experience with at least 2–3 ML projects (academic, personal, or competition\-based such as Kaggle)
- Proficiency in Python and familiarity with key ML/data science libraries such as scikit\-learn, NumPy, Pandas, and Matplotlib
- Basic understanding of deep learning concepts including neural networks, CNNs, and RNNs
- Experience using Jupyter Notebooks or similar interactive development environments
- Ability to explain ML concepts and model outputs clearly, both verbally and in writing
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with version control systems (Git/GitHub)
- Exposure to NLP, computer vision, or graph\-based machine learning
- Experience with cloud platforms (AWS, GCP, or Azure) for ML workflows
- *Performance\-driven culture**: Exceptional interns may transition into full\-time opportunities.
Location: Hyderabad
Duration: 6 months
If you're passionate about pushing the boundaries of machine learning and eager to make a tangible impact, we want to hear from you! Don't miss this opportunity to join a vibrant research community and shape the future of AI in Lifesciences. Apply now or share with someone who's ready to embark on this exciting journey!
Job Type: Internship
Contract length: 6 months
Pay: ₹12,000\.00 \- ₹15,000\.00 per month
Work Location: In person