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Open nowPosted 5 days ago

Senior AI/ML Engineer

QueueBuster9 open roles

Where
Noida
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Your applicationOpen nowSenior AI/ML EngineerQueueBuster · Noida

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 5 days ago

The posting

Position Title: Senior AI/ML Engineer

Location: Noida

Position Type: Full time (Onsite)

Experience: 3+ Year

About Us:

QueueBuster, founded in 2016 is India’s business super app. It is a powerful Android-based Mobile POS application for all kinds of businesses. From large format retail stores to small carts and kiosks, QueueBuster has everything that you need to run your business with ease. With features like Billing, Inventory, Khata, Online Dukaan, Customers, and Loyalty, it is the most sought-after solution for every business.

Job Description:

We are seeking an accomplished Senior AI/ML Engineer to spearhead the design, development, and deployment of intelligent agent-based systems and advanced machine learning solutions. This role combines technical expertise, product-focused innovation, and hands-on engineering expertise to deliver scalable AI capabilities that power next-generation enterprise applications.

Skills and Qualifications:

Strategy & Execution

  1. Contribute to AI/ML Development - Design, build, and optimize AI/ML models and systems that align with product and business objectives
  2. Technical Road map Execution - Translate defined technical road maps into actionable engineering tasks, ensuring timely delivery of high-quality solutions
  3. Cross-Functional Collaboration - Work closely with Product, Engineering, and Business teams to implement AI-driven features and support transformation initiatives
  4. Continuous Learning & Innovation - Stay updated on emerging AI/ML technologies and apply them to enhance product capabilities and performance

AI Agent Development

  1. Architect and implement intelligent autonomous agents powered by Large Language Models (LLMs)
  2. Build agent-based systems using frameworks such as Lang-chain, AutoGPT, Crew AI, and other emerging technologies
  3. Design multi-agent collaboration frameworks and task orchestration pipelines for complex workflows.

Integration & Scalability

  1. Integrate AI agents with enterprise APIs, databases, and external systems
  2. Optimize performance, reliability, and scalability of deployed AI solutions
  3. Apply best practices in MLOps, CI/CD, and cloud-native ML workflows.

Innovation & Governance

  1. Stay updated on emerging AI/ML trends, including Generative AI, multi-modal architectures, and reinforcement learning
  2. Promote adoption of Responsible AI frameworks, ensuring fairness, transparency, and compliance
  3. Document workflows, experiments, and outcomes to support organizational knowledge sharing.

Required Skills & Qualifications:

  • Bachelor’s/Master’s/PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • 3+ years of experience in AI/ML engineering
  • Strong programming expertise in Python (experience with LangChain, TensorFlow, PyTorch, Hugging Face is a plus)
  • Proven track record of deploying ML models and agent-based systems at scale in cloud environments (AWS, Azure, GCP)
  • Solid understanding of multi-agent architectures, NLP, reinforcement learning, and workflow orchestration
  • Excellent problem-solving, analytical, and stakeholder management skills
  • Hands-on experience with Generative AI, LLM fine-tuning, and advanced deep learning architectures
  • Knowledge of Responsible AI frameworks and bias mitigation techniques
  • Contributions to open-source AI/ML projects on forecasting & credit score preferred
  • Experience in building AI platforms or internal ML tooling for product organizations

What We Offer:

  • Opportunity to lead cutting-edge AI/ML initiatives in a fast-growing product organization
  • Collaborative, innovation-driven environment with exposure to real-world enterprise challenges
  • Competitive compensation and benefits package
  • Professional growth through leadership opportunities and continuous learning
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