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Machine Learning Engineer - Data Modeling Job Opening In Bengaluru – Now Hiring Success Pact Consulting Pvt Ltd


Job description

<p><p><b>Position : </b> ML Engineer<br/><br/><b>Experience : </b> 4-7 Years<br/><br/><b>Location : </b> Bangalore, India</p><p><br/></p><p><b>Job Summary :</b></p><p><br/></p><p>We are seeking a highly skilled ML Engineer with 4-7 years of experience in building production systems that handle significant scale.

The ideal candidate will have a deep, hands-on understanding of asynchronous and event-driven architectures and a proven track record of scaling AI/ML inference in production.

This role requires a professional who can design and implement resilient, low-latency systems that manage AI workloads, integrate multiple models, and ensure a seamless user experience.

You will be responsible for owning the end-to-end performance of critical, revenue-generating AI conversation Responsibilities :</b></p><p><b><br/></b></p><p><b>System Design & Implementation : </b> Design and implement robust, asynchronous multi-agent orchestration systems.

Build resilient inference pipelines that can gracefully degrade under heavy load.</p><p><br/><b>Latency & Performance Optimization : </b> Own the end-to-end latency from a user's message to an AI response.

Implement intelligent request routing and load balancing to optimize AI workloads.

Optimize credit data retrieval and caching strategies to enhance system speed and efficiency.</p><br/><b>Resilience & Reliability : </b> Design and implement circuit breakers and fallback strategies for AI model failures.

Migrate critical AI conversation flows from monolithic architectures to dedicated microservices to improve resilience and scalability.<br/><br/><b>Real-time Communication & Observability : </b> Implement WebSocket/streaming infrastructure for real-time chat and other communication needs.

Build comprehensive observability systems to monitor and analyze AI system performance.<br/><br/><b>Technical Leadership : </b> Debug production issues under high AI inference load.

Make technical decisions that directly affect revenue-generating conversations and customer subscription retention.</p><p><br/></p><p><b>Required Skills & Qualifications :</b></p><p><p><b><br/></b></p><b>Core Experience : </b><br/><br/></p><p>- 4+ years of experience building production systems that handle over 10k concurrent users.<br/><br/></p><p>- Proven, hands-on experience scaling ML/AI inference in production.<br/><br/><b>Mandatory Technical Skills : </b><br/><br/></p><p>- Proven experience with async/event-driven architectures, not just traditional REST APIs.<br/><br/></p><p>- Deep understanding of caching strategies using technologies like Redis, in-memory caches, or CDNs.<br/><br/></p><p>- Experience with message queues and real-time communication protocols.<br/><br/></p><p>- Proven experience building systems that integrate multiple LLM/AI models in production.<br/><br/></p><p>- Knowledge of AI model serving frameworks like TensorFlow Serving or Triton.<br/><br/><b>Professional Attributes : </b><br/><br/></p><p>- Strong problem-solving skills and experience debugging complex production issues under high load.<br/><br/></p><p>- A deep understanding of conversation state management and context handling.<br/><br/></p><p>- A mindset of ownership and a clear focus on technical decisions that drive business Skills :</b></p><p><br/></p><p>- Exposure to cutting-edge AI infrastructure challenges.</p><p><br/></p>- Direct experience with optimization techniques like batching, caching, and model </p><p>quantization.<br/><br/></p><p>- Prior experience with AI-powered conversational platforms.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


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Are You Looking for Machine Learning Engineer Data Modeling 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 Success Pact Consulting Pvt Ltd 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 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.

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Success Pact Consulting Pvt Ltd interview tips for Machine Learning Engineer   Data Modeling

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