Job Description
**AI/ML Cloud Integration Engineer** — Cloud Computing / Cloud AI/ML Engineer (Mid-Level)
- **Location:** Pune
- **CTC:** ₹11.3 - ₹17.1 LPA
- **Experience required:** 4-6 years
- **Education:** M.Tech Computer Science / Cloud Certifications (AWS/Azure)
- **Job type:** Full-Time
- **Posted on:** 16-Jul-2026
**What you'll work on:**
- Applying Cloud Architecture Design in day-to-day work within the Cloud AI/ML Engineer function
- Applying Cloud Security Fundamentals in day-to-day work within the Cloud AI/ML Engineer function
- Applying Networking Basics in day-to-day work within the Cloud AI/ML Engineer function
- Applying Cost Optimization in day-to-day work within the Cloud AI/ML Engineer function
- Applying Containerization (Docker/Kubernetes) in day-to-day work within the Cloud AI/ML Engineer function
- Applying Linux Administration in day-to-day work within the Cloud AI/ML Engineer function
**What we're looking for:**
- Someone comfortable operating in a cloud engineering team building and running infrastructure that has to scale reliably
- Strong grip on the fundamentals of cloud ai/ml engineer
- Ability to work full-time out of Pune
**A few more things:**
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
If this sounds like the kind of ai/ml cloud integration engineer role you've been looking for, we'd love to hear from you.
- **Location:** Pune
- **CTC:** ₹11.3 - ₹17.1 LPA
- **Experience required:** 4-6 years
- **Education:** M.Tech Computer Science / Cloud Certifications (AWS/Azure)
- **Job type:** Full-Time
- **Posted on:** 16-Jul-2026
**What you'll work on:**
- Applying Cloud Architecture Design in day-to-day work within the Cloud AI/ML Engineer function
- Applying Cloud Security Fundamentals in day-to-day work within the Cloud AI/ML Engineer function
- Applying Networking Basics in day-to-day work within the Cloud AI/ML Engineer function
- Applying Cost Optimization in day-to-day work within the Cloud AI/ML Engineer function
- Applying Containerization (Docker/Kubernetes) in day-to-day work within the Cloud AI/ML Engineer function
- Applying Linux Administration in day-to-day work within the Cloud AI/ML Engineer function
**What we're looking for:**
- Someone comfortable operating in a cloud engineering team building and running infrastructure that has to scale reliably
- Strong grip on the fundamentals of cloud ai/ml engineer
- Ability to work full-time out of Pune
**A few more things:**
- The role blends planned, structured work with a fair share of ad-hoc problem solving as issues surface through the day.
- High performers in this role typically move into a broader or more senior position within 18-24 months.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- Expect a mix of independent work and collaborative sessions, with regular check-ins to keep priorities aligned across the team.
- There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
- A typical day starts with reviewing open items from the previous shift, syncing with the immediate team, and prioritising the day's deliverables before diving into focused work blocks.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The company invests in upskilling through internal training, certifications support, and cross-team rotations for strong performers.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
- The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
- The environment rewards initiative; people who raise their hand for new challenges tend to grow fastest.
If this sounds like the kind of ai/ml cloud integration engineer role you've been looking for, we'd love to hear from you.