AI/ML Engineer

Carrerlift; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Carrerlift in Bengaluru is seeking an ML Engineer to design and deploy Voice AI systems powering real-world applications and customer interactions. This role focuses on building models for speech recognition, synthesis, and understanding, and shaping autonomous agents for complex workflows.

You will move research prototypes into production, optimize systems for performance and cost, and collaborate with product and engineering to ship features at scale.

Qualifications

• Strong foundation in machine learning fundamentals and Python.
• Experience building or deploying neural networks and ML systems.
• Ability to move quickly from experimentation to shipped code.
• Problem-solving mindset and willingness to learn emerging AI technologies.
• Ability to work across the full stack from research to production infrastructure.

Responsibilities

• Design and implement machine learning models for speech recognition, synthesis, and understanding.
• Create autonomous agents capable of handling multi-step workflows and interactions
• Optimize AI systems for performance, latency, and cost in production settings
• Collaborate with product and engineering teams to ship features that serve real customers
• Debug and improve model performance using production data and feedback

Skills

Python

ML fundamentals

Neural networks

Production ML

Experimentation

Education

Bachelor's in CS/SE or related

Tools

TensorFlow

PyTorch

Job description

Batch: 2020/2021/2022/2023/2024/2025.

About the role:

• Build and deploy Voice AI systems that power real-world applications and customer interactions
• Develop agentic workflows that automate complex business processes and decision-making
• Move AI research prototypes into production environments serving at scale
• Experiment with emerging techniques and frameworks to solve customer problems

What you'll work on:

• Design and implement machine learning models for speech recognition, synthesis, and understanding
• Create autonomous agents capable of handling multi-step workflows and interactions
• Optimize AI systems for performance, latency, and cost in production settings
• Collaborate with product and engineering teams to ship features that serve real customers
• Debug and improve model performance using production data and feedback

What we're looking for:

• Strong foundation in machine learning fundamentals and Python
• Experience building or deploying neural networks and ML systems
• Comfort moving quickly from experimentation to shipped code
• Problem-solving mindset and willingness to learn emerging AI technologies
• Ability to work across the full stack from research to production infrastructure