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SabPaisa - Machine Learning Engineer/LLM Orchestrator Job Opening In India, India – Now Hiring SabPaisa


Job description

<p><p><br/><b>Role & Mission :</b><br/><br/>As our Machine Learning / LLM Orchestrator, you wont just build code fasteryoull architect the AI frameworks that empower every team member to build and deploy AI driven features independently.

You will design, fine tune and deploy large language models (LLMs), create internal tools that allow product managers and engineers to generate front end and back end components with minimal friction, and scale adaptive fraud risk models for real time transactions.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Build and fine tune local LLM engines; design automated pipelines for code generation, testing, documentation and deployment.<br/><br/>- Architect microservices and APIs that integrate AI models into our payment gateway, risk management systems and new product features.<br/><br/>- Develop adaptive machine learning models for transaction monitoring and fraud risk management.<br/><br/>- Create internal AI toolkits and frameworks enabling non engineers to develop UI/UX, backend services and ML workflows aligned with existing architecture.<br/><br/>- Establish best practices for prompt engineering, model evaluation and agent orchestration; mentor engineers and product teams.<br/><br/>- Collaborate with leadership to shape our AI strategy and roadmap.<br/><br/><b>Qualifications :</b><br/><br/>- 7-8 years of software engineering experience (backend or full stack); fintech or payments exposure is a plus.<br/><br/>- At least 2 years building, fine tuning or deploying LLMs or custom ML models.<br/><br/>- Proficiency with PyTorch or TensorFlow, and familiarity with orchestration frameworks (e.g. LangChain, LlamaIndex).<br/><br/>- Experience with CI/CD pipelines, Docker/Kubernetes and microservices.<br/><br/>- Demonstrated ability to deliver production ready AI solutions quickly and iteratively.<br/><br/>- Strong communication skills and a passion for empowering others through technology.<br/><br/><b>Why Join Us </b><br/><br/>- Shape the future of AI native fintechyour work will directly influence how our company harnesses AI at scale.<br/><br/>- High autonomy and ownership; youll define our AI frameworks and standards.<br/><br/>- Fast paced, experimentation first environment that values innovation and learning.<br/><br/>- Competitive compensation and flexible remote/hybrid working options.<br/><br/><b>About Company :</b><br/><br/>SabPaisa (SRS Live Technologies) is an RBI Authorised Payment Aggregator.<br/><br/>Founded in 2016 with headquarters in New Delhi, a corporate office in Kolkata, and regional offices across the country, it is a rapidly advancing fintech company.

SabPaisa is dedicated to providing simplified payment solutions, offering customizable options tailored to the clients unique needs.<br/><br/><b>How Are We Different :</b><br/><br/>SabPaisas dynamic, PCI-DSS and SSL-certified payment gateway offers secure online checkout with diverse optionsCards, Net-Banking, UPI, Wallets, and offline choices like e-Cash, e-NEFT & Bharat QR, available at nearly 10 Lac Cash Counters nationwide.<br/><br/>Our white-labelled payments and collection suite partners with banks like BOI, BOB, IDFC First, Canara, UBI & Indian Bank, processing over INR 94.9 billion.<br/><br/>Introduction Video : <a ://www.youtube.com/watch v=K7Z7A059faE</a><br/><br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your SabPaisa Machine Potential: Insight & Career Growth Guide


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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 SabPaisa adheres to the cultural norms as outlined by Expertini.

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The average salary range for a varies, but the pay scale is rated "Standard" in India. 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.

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Key qualifications for SabPaisa Machine Learning Engineer/LLM Orchestrator 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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SabPaisa interview tips for SabPaisa   Machine Learning Engineer/LLM Orchestrator

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Before the Interview:

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

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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.

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

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your SabPaisa Machine Learning Engineer/LLM Orchestrator interview at SabPaisa, 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 SabPaisa'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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