Machine Learning Infrastructure Engineer

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Zenon Analytics Private limited


Sr. Architect / Engineering Manager / Director Engineering
Zenon Analytics Private limited • Noida, Uttar Pradesh • via HR Software For Growing Businesses | Freshteam
10 hours ago
Full–time
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Job description
Zenon AI is a global boutique consulting firm and a leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using advanced analytics and data science.

Position / Title: Senior Architect/ Engineering Manager /Director Engineering

Location: Zenon Analytics, New Delhi, India

Work Experience: 10+ years designing & developing enterprise grade advanced solutions for global customers

Academic Qualifications: Computer Science, Engineering, or related discipline from Tier-I engineering colleges such as IITs/NITs & IISc is a big plus.

The Job:
• Strong experience in building cloud enabled, highly scalable and distributed solutions using enterprise tools and technology framework such as microservices architecture
• Competent in presales activities, including creating proposals for RFPs, technical solutioning, building MVPs for demo and pricing estimation
• Leveraging industry best practices and experience, identify automation opportunities and to solve problems using AI automation tools and technologies.
• Good Understanding of technical design and architectures, development, integration, testing and deployment.
• Hands-on strong technology focus and willing to explore and learn new technologies
• Adhere to high design and coding standards, policies, and procedures.
• Good exposure in designing data models for RDBMS and NoSQL databases

The Profile:
• You possess a Degree in Computer Science, Engineering or related field from a top tier institute and have at least 10+ years of relevant experience.
• Solid Hands-on technology experience building and running large scale software products, advanced solutions, intelligent automations through complete release cycles.
• You have hands-on experience working with cloud technologies like AWS or Azure.
• Extensive experience in technologies like Python, Java, Microservices, MySQL, MongoDB, big data tech stack, and integrating with RESTful APIs.
• Well versed with Design patterns and various architectural patterns.
• Experience with Agile software development and working closely with business leads.
• Outstanding verbal/written communication skills and interpersonal skills are a must.
• Prior experience in designing reporting solutions using industry standard tools such as Tableau, Qlik, Power BI would be added plus.
• Should be aware of emerging technologies and products, e.g. MDM tools, BI tools, emerging analytics platforms, data virtualization, tokenization etc.
• Familiarity with healthcare and life sciences.
• Experience in supporting presales and solution design for global life sciences and healthcare companies is a must.
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beBee Careers


Machine Learning Infrastructure Engineer
beBee Careers • New Delhi, Delhi • via BeBee
24 hours ago
Full–time
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Job description
Achieve Efficient Inference Performance
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We are looking for a talented Software Engineer to help us achieve efficient inference performance while optimizing costs. This involves designing and implementing robust infrastructure for model deployment, serving, and optimization, as well as collaborating with ML Engineers to establish best practices for optimized model deployment.
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Your Key Responsibilities Will Include:
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• Building and optimizing model serving infrastructure with a focus on inference latency and cost optimization.">
• Architecting efficient inference pipelines that balance latency, throughput, and cost across various acceleration options.">
• Developing monitoring and observability solutions for ML systems.">
• Collaborating with ML Engineers to establish best practices for optimized model deployment.">
• Implementing cost-efficient, enterprise-scale solutions.">
• Cross-functional collaboration for continuous system improvement.">
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You Will Need:
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• 5+ years of experience in software engineering with Python.">
• Experience with ML frameworks, particularly PyTorch.">
• Experience optimizing ML models with hardware acceleration (AWS Neuron, ONNX, TensorRT).">
• Experience with AWS ML services and hardware-accelerated instances (Sagemaker, Inferentia, Trainium).">
• Proven experience building and operating AWS serverless architectures.">
• Deep understanding of event-driven processing patterns, SQS/SNS, and serverless caching solutions.">
• Experience with containerization using Docker and orchestration tools.">
• Strong knowledge of RESTful API design and implementation.">
• Proficiency in writing good-quality and secure code and being familiar with static code analysis tools.">
• Excellent analytical, conceptual, and communication skills in spoken and written English.">
• Experience applying Computer Science fundamentals in algorithm design, problem solving, and complexity analysis.">