Job Location: Delhi, Ghaziabad, Gurgaon, Greater Noida, Noida
Job Detail:
About the internship
Selected intern’s day-to-day responsibilities include:
1. Conduct literature reviews and stay updated with the latest advancements in AI/ML research.
2. Assist in designing, implementing, and evaluating machine learning models and algorithms.
3. Collect, preprocess, and analyze large datasets to extract meaningful insights.
4. Develop prototypes and proof-of-concept implementations to demonstrate feasibility and efficacy.
5. Participate in brainstorming sessions and contribute creative ideas to solve complex problems.
6. Stay organized and manage multiple tasks effectively to meet project deadlines.
Adhere to best practices in research ethics, data privacy, and intellectual property protection.
7. Strong understanding of machine learning concepts and algorithms.
8. Understanding of machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
9. Familiarity with data manipulation and analysis tools (e.g., pandas, NumPy).
10. Excellent analytical and problem-solving skills.
11. Effective communication and teamwork abilities.
12. Self-motivated with a passion for learning and innovation.
Skill(s) required
Deep Learning Machine Learning Natural Language Processing (NLP) Neural Networks Python
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 18th May’24 and 22nd Jun’24
3. are available for duration of 6 months
4. have relevant skills and interests
Perks
Certificate Informal dress code
Number of openings
6
About Isourse
Isourse is a tech start-up. We provide one-stop solutions to our customers for all their tech & infra needs, primarily for supply chain, logistics, and the e-fulfillment industry. We firmly believe in understanding the requirements of the customer & thereupon, designing the best-customized solution for them, and aiming to offer the highest possible standard of service.
We do that by giving our clients undivided attention whenever required. Our advanced technology promotes performance, safety, and ease of use in every market we serve. That makes us an engineering and technology company with a keen focus on recruiting talent in those fields. But the same vertical integration business model that keeps all design and manufacturing processes in-house also gives us the incentive to hire top performers from different backgrounds, including operations, finance, accounting, information technology, sales, marketing, and communications.
