Acme AI Ltd. is an artificial intelligence development, fine-tuning, and capacity strengthening company founded in 2020. They specialize in computer vision, speech recognition, and GenAI, supporting global AI giants. Their services include data annotation/labelling, solution development, data collection and analysis, remote team placements (ML Engineers, LLMOps, CV Engineers, etc.), B2B consultation for business process optimization, and computational training. Acme AI boasts the largest specialized AI data workforce in Bangladesh with over 350 in-house personnel and processes over 24,000 annotation hours per month with 98.34% average accuracy. They offer offshore teams at competitive pricing, starting from USD $180/month for many roles. The company has also developed proprietary products like Cert I: DLA, BoviMetric, and Probahini+.
Acme AI Ltd. is an artificial intelligence development, fine-tuning, and capacity strengthening company founded in 2020. They specialize in computer vision, speech recognition, and GenAI, supporting global AI giants. Their services include data annotation/labelling, solution development, data collection and analysis, remote team placements (ML Engineers, LLMOps, CV Engineers, etc.), B2B consultation for business process optimization, and computational training. Acme AI boasts the largest specialized AI data workforce in Bangladesh with over 350 in-house personnel and processes over 24,000 annotation hours per month with 98.34% average accuracy. They offer offshore teams at competitive pricing, starting from USD $180/month for many roles. The company has also developed proprietary products like Cert I: DLA, BoviMetric, and Probahini+.
Looking for CloudOps heroes to support next generation AI sports analytics!
As a Senior Cloud Engineer, you will serve as the backbone of our AI and data processing infrastructure. You will design, build, and maintain a robust, secure, and scalable cloud environment that enables AI engineers to train models and allows Acme AI and partners to deliver cutting-edge sports analyses. This role is critical for translating high-volume video and data needs into a high-performance, automated, and reliable platform.
KEY RESPONSIBILITIES
General responsibilities include:
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
Product Designer
Full-timeAustin, US
Full-time • Austin, US
DevOps Engineer
ContractNew York, US
Contract • New York, US
Product Designer
Full-timeJerusalem
Full-time • Jerusalem
Frontend Developer
Full-timeNew York, US
Full-time • New York, US
DevOps Engineer
Part-timeHamburg, DE
Part-time • Hamburg, DE
AI Researcher
Part-timeTel Aviv
Part-time • Tel Aviv
Designing and implementing core cloud infrastructure components, including virtual servers, networks, and security protocols.
Ensuring the cloud environment is secure, available, and scalable for massive data loads.
Implementing Infrastructure as Code (IaC) principles using tools like Terraform.
Defining and enforcing secure, private networking and security best practices across the cloud environment.
Automating workflows for data ingestion, processing, and model training.
Setting up tools to support the workflows of AI engineers.
Developing and maintaining automated deployment pipelines (CI/CD).
Managing orchestration tools such as Prefect, Dagster, or Airflow for complex data pipelines.
Monitoring system performance, costs, and availability.
Setting up monitoring for current pipelines and critical services.
Implementing data quality tooling to ensure the integrity and reliability of sports analysis data.
Key output we are looking for are
virtual servers, networks, security protocols, and automated deployment pipelines
.EXPERIENCE + QUALIFICATION
Bachelor or equivalent degree in software or technical disciplines with 4-7 years of experience in CloudOps and related areas.
Cloud Platform Expertise: Extensive experience with cloud platforms, with a strong preference for GCP (General principles must be transferable).
Containerization & Orchestration: Proficiency in Kubernetes and Helm.
Infrastructure as Code (IaC): Hands-on experience with Terraform and building scalable cloud infrastructures.
Programming & Scripting: Strong expertise in Python.
Tools & Development: Proficiency in Git, Docker, and Rest API development.
Data & Databases: Proficiency in databases and writing complex SQL.
Workflow Orchestration: Experience with tools like Prefect, Dagster, or Airflow.
Security: Knowledge of best practices and secure, private networking in cloud environments.
Code Quality: Ability to write clean, maintainable code using Python, SQL, and Docker.
NICE TO HAVES
MLOps Experience: Experience with monitoring tools like MLFlow.
Data Platform Design: Mastery in designing high-performance data platforms and architectures.
Python Best Practices: Familiarity with static typing and PyTest.
WORK DETAILS
This is a full-time position, where you’ll be working in a supportive, fast-paced environment with access to learning and development opportunities.
Type: Full-time, onsite with some remote flexibility
Schedule: Standard 8 hours, five-days engagement under contract
Location: Acme AI Ltd, Level 5, House 385, Road 6, Mirpur DOHS, Dhaka 1216
Salary: BDT 80,000-140,000 (offered based on experience and technical test-result)
BENEFITS
Market competitive salary based on experience
Festival bonuses
Access to company health fund (upon eligibility; since health and hospitalisation insurance sucks!)
Quarterly profit-sharing (upon eligibility)
How to apply?Please lodge your applications by filling outthe Google form
following this link: https://www.acmeai.tech/career/sr-cloudops-engineerApplication Deadline:Considered on a rolling basis until 5 January 2026 at 11.59 PM
