Machine Learning Engineer — Observe.AI

About this ML Engineer role at Observe.AI

Observe.AI is hiring Machine Learning Engineers in Bengaluru to build conversation intelligence systems powered by NLP and speech processing. This is a permanent, on-site role at a private AI startup where your core work is ML—not a side project. If you have 3+ years of NLP or speech ML experience, this direct-apply opportunity lets you skip the exam route and apply straight to the hiring team.

What you'll do

• Design and train NLP and speech processing models that power conversation intelligence features.
• Build and optimize machine learning pipelines using TensorFlow or PyTorch for production use.
• Work on end-to-end ML projects—from data preparation through model deployment and monitoring.
• Collaborate with product and engineering teams to translate conversation data into actionable intelligence.
• Improve model accuracy and latency for real-time speech and text analysis at scale.

Who should apply

This mid-level ML Engineer role expects 3+ years of hands-on experience in NLP, speech processing, or related machine learning domains. You should be comfortable with Python, TensorFlow or PyTorch, and have shipped ML models in production. If you've worked on speech recognition, NLP pipelines, or conversation analysis before, you're a strong fit. Fresh graduates should build these skills first.

Salary & offer in context

Observe.AI offers ₹20–40 LPA (roughly ₹1,67,000–₹3,33,000 per month) for this Bengaluru ML Engineer role. For mid-level ML engineers in India's private AI sector, this range is competitive and reflects the seniority and impact of conversation intelligence work. Senior roles in the same space often command 50+ LPA in major tech hubs.

Path to apply

This is a direct-apply role—no written exam or preliminary screening hurdles. Submit your CV and portfolio through Observe.AI's online careers portal. The application deadline is June 5, 2026, so apply soon if you're ready. Emphasize your NLP or speech ML projects and any production experience with TensorFlow or PyTorch in your cover letter.