Business Analysis (Generative AI) Internship

Business Analysis (Generative AI)
Start Date
Starts immediatelyImmediately
Duration
2 Months
Stipend
₹ 5,000 /month
APPLY BY
19 Jan' 25
Posted today
Internship

About the internship

Selected intern's day-to-day responsibilities include:

1. Client Engagement: Conduct diagnostic studies, document workflows, and identify improvement areas at client sites.
2. Data Analysis: Analyze, clean, and visualize large datasets to generate insights for AI tasks.
3. AI Model Development: Support building and optimizing generative AI models (e.g., GANs, VAEs) to solve business problems.
4. Solution Design: Collaborate on AI-driven solutions to enhance efficiency and reduce costs.
5. Team Collaboration: Work with technical teams to align solutions with business goals.
6. Stakeholder Communication: Prepare reports, presentations, and communicate insights to technical and non-technical audiences.
7. Research: Stay updated on Generative AI trends and explore innovative applications.
8. Documentation & Support: Assist in proposals, project documentation, and provide support for ongoing tasks.
9. Professional Development: Engage in training and collaborate with mentors to meet project milestones.

Skill(s) required

Amazon Web Services (AWS) Business Analysis Data Analysis Effective Communication Google Cloud Computing Machine Learning Microsoft Azure Natural Language Processing (NLP) 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 19th Dec'24 and 23rd Jan'25

3. are available for duration of 2 months

4. are from or open to relocate to Manesar, Manesar Sub-District and neighboring cities

5. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Other requirements

Only BTech graduates should apply

Degree in data science, computer science, statistics, mathematics, engineering, or a related field (pursuing or recently completed).

Programming languages: Python or R.

Familiarity with Generative AI frameworks and libraries (e.g., TensorFlow, PyTorch, GANs, VAEs).

Knowledge of machine learning and deep learning frameworks (e.g., scikit-learn, Keras).

Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).

Analytical and Problem-Solving Skills: Ability to interpret complex data and process flows. Strong analytical mindset for deriving insights from large datasets.

Communication Skills: Strong communication skills for explaining complex concepts to both technical and non-technical audiences. Stakeholder engagement and presentation capabilities.

Organizational Skills: Ability to manage multiple tasks with attention to detail.

Client-Facing Skills: Willingness to engage in client environments and build strong relationships.

Trend Awareness: Awareness of the latest trends and advancements in Generative AI and industrial process optimization.

Preferred Skills: Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI models.

Experience with natural language processing (NLP) techniques and tools (e.g., NLTK).

Experience in project management methodologies and stakeholder coordination.

Perks

Certificate Letter of recommendation Flexible work hours Informal dress code 5 days a week

Number of openings

2

About Algo8 AI

Algo8 AI is a Canadian AI firm having undertaken and delivered over 50+ DS/AI projects. We differentiate between AI hype and the practicality of projects, published in cases by Harvard Business Review on talent utilization. Most of the data science workforce is from esteemed institutes in India and Southeast Asia. We have completed 50+ data science and AI projects including Fortune 500 companies. We have a global presence in 3 countries with diversified industry expertise and a growth rate of more than 200% Y.O.Y. Our clients are large global enterprises including Fortune 500 companies. We are the research & development partner for the Government of India, IIT Kanpur, IIT BHU, and IIT Jammu.
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