Senior AI/ML Engineer
Skills
About the role
This is a remote senior AI/ML engineering role open across India for professionals with five to seven years of experience. You'll build machine learning and deep learning systems, including generative AI, large language model, and retrieval-augmented generation solutions. The work combines Python development, cloud deployment, MLOps, container orchestration, and collaboration with international client teams.
What you’ll do
- Develop and deploy machine learning and deep learning models in Python.
- Build and connect generative AI, LLM, and RAG pipelines.
- Engineer prompts for AI applications.
- Deploy AI services on cloud platforms through APIs.
- Apply MLOps practices to model deployment.
- Package and orchestrate services with Docker and Kubernetes.
- Use REST APIs and Git in software delivery.
- Contribute to architecture discussions, technical learning, and global client projects.
What they’re looking for
- Five to seven years of professional experience.
- Experience with Python and machine learning or deep learning frameworks.
- Hands-on knowledge of generative AI, LLMs, RAG, and prompt engineering.
- Experience deploying AI solutions on cloud platforms.
- Understanding of Docker, Kubernetes, REST APIs, Git, and MLOps.
- Ability to take ownership of technical decisions and work with international clients.
Nice to have
- Experience with AWS, Azure, or Google Cloud Platform.
- Knowledge of data preprocessing and cloud APIs.
What’s on offer
- Remote work across India with flexible working hours.
- Full-time employment.
- The page displays compensation of $38,600 to $51,800 USD per year.
- The company describes technical learning, architecture reviews, global projects, and ownership of technical decisions.
Questions about this role
Is this AI/ML engineer role remote?
Yes. The posting describes a remote-friendly culture and lists the role as remote across India.
How much experience is required?
The stated experience range is five to seven years.
What is the listed salary?
The page displays $38,600 to $51,800 USD per year.
Which AI technologies are involved?
The role includes LLMs, RAG, generative AI, prompt engineering, machine learning, deep learning, Docker, Kubernetes, and MLOps.
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