
PozeSCAF leverages AxDrug, an AI-driven platform, together with an in-house chemistry facility to accelerate drug discovery from hit identification to lead optimization. It uses a generative AI…

PozeSCAF leverages AxDrug, an AI-driven platform, together with an in-house chemistry facility to accelerate drug discovery from hit identification to lead optimization. It uses a generative AI…
Core offering: AI-driven drug discovery platform (AxDrug) plus in-house small-molecule synthesis services
Founded: 2019 or 2020 (sources list both 2019 and Feb 28, 2020)
Industry: Biotechnology / Drug discovery CRO
Employees: 11–50 (reported 31 in one snapshot)
Funding (reported): Seed rounds including Jan 2020 ($800k) and Jun 2023 ($1.0M); one source lists total funding $4,800,000
Founders / leadership: Dr. Ravi Kumar Muttineni (Founder & CSO); other named founders include Nagesh BDL
Small-molecule drug discovery and lead optimization for oncology and other indications.
2019
Biotechnology
$800,000
$1,000,000
Snapshot lists last funding date; consolidated ledger not fully specified
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.
Role Overview
We are looking for enthusiastic and motivated 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.
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What You’ll Do
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
Requirements:
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
Nice-to-Have Skills
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