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Lead MLOps Engineer
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Lead MLOps Engineer
Location: Bangladesh, South Asia (Remote)
Department: Software Engineering
Reporting to: Engineering Lead
ABOUT NEXGEN CLOUD:
NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world's most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature.
We're a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practice what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like.
THE ROLE: Lead MLOps Engineer
This role exists because Hyperstack is scaling its AI cloud platform and building out the infrastructure that powers production ML workloads for thousands of customers. As AI Studio capabilities grow and the platform takes on increasingly complex training, fine-tuning, and inference workloads, we need someone to own the MLOps layer — the systems, tooling, and practices that make large-scale AI workloads reliable, observable, and repeatable in production. You'll have direct ownership over ML platform reliability, deployment workflow engineering, and the operational standards that underpin how AI workloads run on Hyperstack end to end.
This is a lead individual contributor role. You'll set the technical direction for MLOps on the platform, work directly with Product and Engineering, and take end-to-end ownership of the systems that make AI workloads run in production.
WHAT YOU'LL BE DOING:
Rather than a long checklist, here's what success in this role looks like:
- Own the design, implementation, and evolution of core MLOps systems across Hyperstack — including the infrastructure and workflows that underpin AI Studio
- Build and improve systems that orchestrate model training, fine-tuning, evaluation, and deployment — engineered for long-running, resource-intensive GPU workloads
- Own production readiness across ML infrastructure — monitoring, alerting, incident response, and continuous improvement based on real-world usage
- Define and embed strong MLOps practices across teams — model versioning, reproducibility, deployment safety, rollback strategies, and environment management
- Provide technical leadership through architecture decisions, implementation guidance, and shared standards — working closely with Product, Engineering, and cross-functional teams
ABOUT YOU:
We're more interested in how you think and work than in a perfect CV. You'll likely bring a combination of the following:
Essential
- Proven experience designing, building, and operating production ML infrastructure, platform systems, or MLOps workflows in cloud environments
- Hands-on Python development skills, with experience building backend systems, automation, and developer or platform tooling
- Experience supporting LLM, generative AI, or fine-tuning workflows in production — including training, evaluation, deployment, inference, and lifecycle management
- Production-grade experience with Docker, Kubernetes, CI/CD, and infrastructure-as-code in real, operational environments
- Experience owning complex, asynchronous, or resource-intensive workloads end to end — including orchestration, reliability, observability, and incident response
- Ability to work cross-functionally and provide technical leadership through influence — shaping standards, direction, and ways of working across engineering teams
Nice to Have
- Exposure to GPU-intensive, distributed, or performance-sensitive ML workloads
- Experience building internal developer platforms or tooling that improve experimentation, reproducibility, and delivery speed for ML teams
- Background in cloud infrastructure, platform products, or technically complex B2B software
WHAT WE OFFER:
- Competitive salary and annual discretionary bonus scheme
- Employee wellbeing benefits
- 25 days of holiday, plus public holidays
- Flexible working arrangements (remote or hybrid, depending on role and location)
- Real ownership and autonomy, with the trust to take initiative and experiment
- The opportunity to make a visible, meaningful impact as we scale
- Clear career progression and growth opportunities in a fast-growing company
- A collaborative, international culture built on trust, transparency, and ownership
- The chance to help shape NexGen Cloud's team, culture, and future alongside ambitious, mission-driven colleagues
MORE INFORMATION
Head over to our NexGen Cloud careers page to view current openings and follow us on LinkedIn and X to learn more about our journey, newest releases and hear exciting news in the neocloud space.
Ready to apply?
Apply to NexGen Cloud
Software Engineer, Data Infrastructure & Acquisition - Dhaka, Bangladesh
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
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Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify