Fireblaze AI School Careers & Recruitment

Corporate Overview & History

Fireblaze AI School (commonly abbreviated as FAS) was founded in 2019 by a group of AI researchers and educators led by Dr. Ananya Rao, a former senior scientist at the Indian Institute of Science (IISc). The founding vision was to bridge the talent gap in artificial‑intelligence skills between academia and industry in India. Starting as a boutique coding boot‑camp in Bengaluru, Fireblaze quickly expanded to a multi‑city AI academy offering certificate programmes, corporate‑training modules, and a proprietary online learning platform named BlazeLearn™.

By 2021, Fireblaze secured Series A funding of USD 12 million from Sequoia Capital India and the Government of Karnataka’s Innovation Fund, enabling the launch of regional centres in Mumbai, Hyderabad, and Delhi. In 2023, the school introduced the Fireblaze AI Fellowship, a 12‑month, stipend‑supported research‑track for top‑performing graduates, in partnership with Tata Consultancy Services (TCS) and the Ministry of Electronics & Information Technology (MeitY). Today, Fireblaze AI School serves over 15,000 active learners across India and has a nascent presence in Singapore and the United Arab Emirates through strategic collaborations.

Core Business Operations & Divisions

• Academic Programs Division: Designs and delivers short‑term certification courses (3‑6 months) in Machine Learning, Deep Learning, Computer Vision, NLP, and MLOps. Programs are offered both on‑site and via the BlazeLearn™ platform.
• Corporate Training & Upskilling: Customized enterprise‑wide AI upskilling for Fortune 500 firms, startups, and government agencies. Includes on‑site workshops, blended learning, and post‑training assessment.
• Research & Fellowship Hub: Hosts the Fireblaze AI Fellowship, conducts applied AI research, publishes white‑papers, and collaborates with academic institutions.
• Technology & Product Engineering: Maintains BlazeLearn™ – a SaaS LMS powered by adaptive learning algorithms, analytics dashboards, and a marketplace for AI labs and project‑based assignments.
• Community & Outreach: Organises monthly meet‑ups, hackathons, and the annual Fireblaze AI Summit that attracts over 5,000 participants.

Career Opportunities & In‑Demand Roles

Fireblaze AI School hires across a spectrum of functions. Below is a role‑wise breakdown with typical experience levels:

Hiring & Selection Process

1. Online Application: Candidates submit a CV and a brief motivation statement through the careers portal (https://careers.fireblazeai.school).
2. Aptitude & Coding Test: For technical roles, an AI‑focused aptitude test (30 questions) followed by a timed coding challenge on HackerRank/CodeSignal.
3. Technical Interview (1‑2 rounds): Deep‑dive into data‑structures, algorithms, and domain‑specific knowledge (e.g., TensorFlow, PyTorch, curriculum design).
4. Teaching Demo / Case Study: Instructional candidates present a 15‑minute micro‑lecture; product candidates solve a real‑world product case.
5. HR & Culture Fit Interview: Behavioural questions, discussion of values (innovation, inclusivity, lifelong learning) and salary expectations.
6. Offer & On‑boarding: Conditional offer, background verification, and a 2‑week virtual onboarding program.

Salary Structure, Compensation & Benefits

Compensation at Fireblaze is market‑aligned and varies by role, experience, and location. Below are typical annual CTC ranges (in INR) for Bengaluru – the benchmark city:

Benefits include:

• Performance‑linked bonuses (up to 20% of base salary)
• Health insurance covering employee + spouse + up to 2 children
• Annual learning stipend of ₹30,000 for personal courses
• Flexible work‑from‑home policy (2‑3 days/week) and hybrid office model
• Paid parental leave (26 weeks) and childcare support
• Stock‑option pool for senior hires and fellowship participants
• Wellness programs – yoga, mental‑health counseling, and monthly tech‑talks

Application Guidelines & Eligibility

Fireblaze AI School looks for candidates who combine strong technical or pedagogical foundations with a passion for AI democratization. General eligibility criteria are:

• Educational Qualifications:
  • Technical roles – B.Tech/M.Tech/BS/MS in Computer Science, Electronics, Data Science, or equivalent. Top‑grading (≥60% CGPA) is preferred.
  • Instructional roles – M.Tech/Ph.D. in AI/ML, Mathematics, Statistics, or a related field, or a proven track‑record of teaching AI‑related curricula.
  • Business & Ops roles – MBA, BBA, or relevant professional degrees (e.g., CA, CMA) with 2+ years of experience.
• Core Skills:
  • Programming – Python, R, JavaScript; familiarity with TensorFlow, PyTorch, Keras.
  • Data handling – SQL, Pandas, NumPy, data‑visualisation tools.
  • Pedagogy – Curriculum design, LMS tools (Moodle, Canvas), assessment creation.
  • Soft skills – Communication, teamwork, problem‑solving, and a growth mindset.
• Experience: Freshers may apply for junior instructor or associate engineer roles. Mid‑level and senior positions require demonstrable project delivery, publications, or enterprise‑client handling.
• Application Process: Upload CV, cover letter, and (if applicable) a teaching demo video or GitHub portfolio link. Applications are accepted year‑round, with major intake cycles in January, May, and September.

For the latest openings, candidates should visit the official careers portal, subscribe to the newsletter, or follow Fireblaze AI School on LinkedIn and Twitter.

Job seekers interested in Fireblaze AI School recruitment notifications can review key eligibility criteria, age limits, pay scales, selection procedures, and application deadlines listed in the active vacancies below.