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Senior Machine Learning Engineer - NLP Job Opening In Bengaluru – Now Hiring Observe.AI


Job description

About Us
Observe.AI is the leading AI agent platform for customer experience.

It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business.
Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents.

It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management.
Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel.
Why Join Us
At our core, we are shaping how AI transforms real-world challenges in the contact center space.

As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers.
If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI.

You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy.
Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand.

We value curiosity, collaboration, and the courage to push boundaries.
What you’ll be doing
Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment.
Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI.
Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform.
Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale.
Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.
Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.
Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform.
Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.
What you’ll bring to the role
Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU.
An engineering mindset with the competencies of an applied scientist.
3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems.
Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications.
Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale.
Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production.
Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development
Excellent communication, collaboration skills, and presentation skills.
Experience with Spoken Language Understanding is a plus
Published papers in top NLP/ NLU conferences or workshops are a plus
Relevant open-source contributions are a plus.
Perks & Benefits
Excellent medical insurance options and free online doctor consultations
Yearly privilege and sick leaves as per Karnataka S&E Act
Generous holidays (National and Festive) recognition and parental leave policies
Learning & Development fund to support your continuous learning journey and professional development
Fun events to build culture across the organization
Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)
Our Commitment to Inclusion and Belonging
Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce.

Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy.

Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
We welcome all people.

We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals.

We seek to hire, develop, and retain talented people from all backgrounds.

Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.
If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply.

For more information, visit www.observe.ai .

Required Skill Profession

Computer Occupations


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Are You Looking for Senior Machine Learning Engineer NLP Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Observe.AI adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Senior Machine Learning Engineer NLP Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Machine Learning Engineer NLP?

Key qualifications for Senior Machine Learning Engineer NLP typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Senior Machine Learning Engineer NLP, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Senior Machine Learning Engineer NLP Job Success

Observe.AI interview tips for Senior Machine Learning Engineer   NLP

Here are some tips to help you prepare for and ace your Senior Machine Learning Engineer NLP job interview:

Before the Interview:

Research: Learn about the Observe.AI's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Machine Learning Engineer NLP interview at Observe.AI, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Observe.AI's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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