🚀 We’re hiring an AI / Machine Learning Engineer (LATAM / Americas)
Backend ⚙️AI/ML 🤖DevOps ☁️Data Science 📊
Archived 2 months ago
C
Maria
Verified
Project Description:
We’re a small but fast-growing AI software development company working with international clients, and we’re expanding our remote engineering team.
Required Skills:
• 3+ years of real Python software development experience (beyond academic work).• Strong hands-on experience with ML/AI frameworks (LLMs, NLP, CV, or similar).• Ability to work end-to-end: from prototype/PoC to production-ready code.• Comfortable communicating in English with clients.• Startup or product environment experience is a plus.Budget Range: Salary range: 2,000–3,500 USD depending on seniority & fit
Timeline: Permanent role
Contact Method: https://tally.so/r/n9g0QG
Additional Details:
Work setup
• 🌎 Fully remote• 🕒 Timezone: must live and work within UTC-5 to UTC-3 (Americas)
Why join us
• You’ll build real AI products, not gimmicky demos.• High ownership, autonomy, and the chance to ship work that actually reaches users.• Small, technical team = no bureaucracy, lots of learning, direct impact.
We’re a small but fast-growing AI software development company working with international clients, and we’re expanding our remote engineering team.
Required Skills:
• 3+ years of real Python software development experience (beyond academic work).• Strong hands-on experience with ML/AI frameworks (LLMs, NLP, CV, or similar).• Ability to work end-to-end: from prototype/PoC to production-ready code.• Comfortable communicating in English with clients.• Startup or product environment experience is a plus.Budget Range: Salary range: 2,000–3,500 USD depending on seniority & fit
Timeline: Permanent role
Contact Method: https://tally.so/r/n9g0QG
Additional Details:
Work setup
• 🌎 Fully remote• 🕒 Timezone: must live and work within UTC-5 to UTC-3 (Americas)
Why join us
• You’ll build real AI products, not gimmicky demos.• High ownership, autonomy, and the chance to ship work that actually reaches users.• Small, technical team = no bureaucracy, lots of learning, direct impact.