27:I[996049,["/_next/static/chunks/4066bc1c6c2349d5.js","/_next/static/chunks/95a412e391bc23e5.js","/_next/static/chunks/3bb216cbbaa0b533.js","/_next/static/chunks/9fc50f9074987e82.js","/_next/static/chunks/8b898b539081927e.js","/_next/static/chunks/1cdc3b1251aea11f.js","/_next/static/chunks/aa7cbeceb4b37dc5.js","/_next/static/chunks/b11aaec6f3f6fc09.js","/_next/static/chunks/e9929ff73971e68b.js"],"CompanyJobs"] 22:["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","d":"M19 21V5a2 2 0 00-2-2H7a2 2 0 00-2 2v16m14 0h2m-2 0h-5m-9 0H3m2 0h5M9 7h1m-1 4h1m4-4h1m-1 4h1m-5 10v-5a1 1 0 011-1h2a1 1 0 011 1v5m-4 0h4"}] 23:["$","span",null,{"className":"inline-flex items-center gap-1.5 rounded-md bg-gray-100 py-1 pr-2.5 pl-2 text-sm text-gray-600","children":[["$","svg",null,{"className":"h-4 w-4 shrink-0 text-gray-400","fill":"none","viewBox":"0 0 24 24","stroke":"currentColor","strokeWidth":2,"children":["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","d":"M17 20h5v-2a3 3 0 00-5.356-1.857M17 20H7m10 0v-2c0-.656-.126-1.283-.356-1.857M7 20H2v-2a3 3 0 015.356-1.857M7 20v-2c0-.656.126-1.283.356-1.857m0 0a5.002 5.002 0 019.288 0M15 7a3 3 0 11-6 0 3 3 0 016 0zm6 3a2 2 0 11-4 0 2 2 0 014 0zM7 10a2 2 0 11-4 0 2 2 0 014 0z"}]}],"2-10 employees"]}] 24:["$","span",null,{"className":"inline-flex items-center gap-1.5 rounded-md bg-gray-100 py-1 pr-2.5 pl-2 text-sm text-gray-600","children":[["$","svg",null,{"className":"h-4 w-4 shrink-0 text-gray-400","fill":"none","viewBox":"0 0 24 24","stroke":"currentColor","strokeWidth":2,"children":["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","d":"M13 7h8m0 0v8m0-8l-8 8-4-4-6 6"}]}],"Early Stage"]}] 25:["$","span",null,{"className":"inline-flex items-center gap-1.5 rounded-md bg-gray-100 py-1 pr-2.5 pl-2 text-sm text-gray-600","children":[["$","svg",null,{"className":"h-4 w-4 shrink-0 text-gray-400","fill":"none","viewBox":"0 0 24 24","stroke":"currentColor","strokeWidth":2,"children":["$","path",null,{"strokeLinecap":"round","strokeLinejoin":"round","d":"M8 7V3m8 4V3m-9 8h10M5 21h14a2 2 0 002-2V7a2 2 0 00-2-2H5a2 2 0 00-2 2v12a2 2 0 002 2z"}]}],"Est. ","2018"]}] 28:T499,

Women in Machine Learning & Data Science is offering an Undergraduate Research Experience Scheme in Machine Learning Systems. This paid summer internship provides students the opportunity to work on real-world challenges in various domains including data science and artificial intelligence, while developing essential research skills and gaining valuable experience.

Responsibilities:

Take the next step in your learning journey and gain research experience with our paid Summer internship scheme
Work alongside leading researchers on real-world challenges in data science, artificial intelligence, cybersecurity, computational systems, and biomedical innovation
Apply classroom knowledge to meaningful projects, develop advanced technical and analytical skills, and gain insight into postgraduate study and research careers
Work on a defined project for up to 8 weeks while being embedded in a research team with dedicated supervision and mentorship
Develop research skills, strengthen your CV, expand your professional network, and gain hands-on experience at the forefront of informatics research

Women In Machine Learning And Data Science, Mumbai

Open Positions (1)

Other

Undergraduate Research Experience Scheme in Machine Learning Systems