Pros
I recently worked at Apexon’s Ahmedabad office as an AI/ML Engineer and found the environment both stimulating and supportive. 🔹 Technical Depth & Exposure The company offers hands-on experiences across the AI/ML stack—from video annotation to model deployment. One Glassdoor reviewer highlighted that “Data Science, ML and AI opportunities are growing here” glassdoor.com +11 glassdoor.com +11 glassdoor.com +11 . This aligns with my time spent iterating on real-world ML data pipelines and training models in production. 🔹 Collaborative & Growth‑Oriented Culture Apexon fosters a dynamic, tech-forward work atmosphere. Glassdoor feedback notes it “fosters a dynamic and innovative work environment where technology professionals can thrive” glassdoor.com . That was certainly true in the AI/ML team: senior engineers and managers were always accessible and eager to share knowledge—through pair programming and tech talks, especially. 🔹 Strong Peer Network & Support The team culture here is genuinely collaborative. I often saw colleagues across data, dev, and QA teams working closely to solve problems—reinforcing that sense of shared purpose. 🔹 Benefits & Work‑Life Balance Apexon provides solid benefits and PTO policies that let you recharge effectively glassdoor.com +11 apexon.com +11 glassdoor.com +11 . This cultural emphasis on balance helped me stay productive and focused on deeper technical challenges. 🔹 Areas to Consider Compensation growth: Some reviews mention slower salary hikes, especially for newer hires glassdoor.com +1 glassdoor.com +1 . It’s wise to benchmark periodically. Project allocations: As with many tech firms, project rotations happen, and flexibility is key.
Cons
Cons are not there at Apexon