Deep Learning
Amazon Web Services (AWS)A stealth startup, born from research at Stanford's Human-Centred AI Lab, is building an AI Chief of Staff, designed to revolutionize how we work.
Most companies building AI agents are automating routine work. But we want to hold AI to a higher bar – an AI that “reasons” and helps humans deal with cognitive overload.
Come work at the intersection of cutting-edge NLP, generative AI and graph learning ML techniques. Help build technology that empowers, not exhausts!
Team: Stanford founder with background in data science, investing, and startups; Staff engineer at Amazon; and top-tier AI practitioners as Advisors (ex-Head of AI at Spotify, Senior Eng Director at Pinterest, AI 2030 Global Leader among others). Harvard and Stanford engineers contributed to early product development.
Role: Founding ML Engineer, full-time
Location: India. We can sponsor visas to relocate to the US based on fit.
Compensation: Around INR 25 lakh based on experience + equity
Required Qualifications
- Bachelor’s degree or master’s (preferred) in computer science, engineering, mathematics, or a related technical field from a top-tier institution
- 3+ years of experience building and deploying ML models in production, ideally with “0 to 1” ML work
Technical
- Expertise in NLP: Hugging Face Transformers, BERT, RoBERTa, and techniques like text classification and semantic clustering.
- Experience with LLMs (e.g., GPT-4, Gemini) for prompt engineering, fine-tuning for specific use cases, content generation, and cost-optimized ML infrastructure
- Deep Learning & Graph-Based ML: Proficiency in TensorFlow, PyTorch, XGBoost, GNNs, and dynamic graph databases like Neo4j for modelling relationships
- AI-powered chatbots, integrating LLMs for natural language interaction, feedback processing, and real-time user support
- Real-Time Data Processing & Integration: Skilled in using Apache Kafka and integrating ML models into scalable, reliable back-end systems
- Cloud Deployment: Experience deploying and managing ML services on AWS, GCP, or Azure with a focus on scalability and performance optimization
Shubham Vishwakarma
Full Stack Developer - Averlon
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Mobile programming LLC is a US-based digital transformation company. We help enterprises transform ideas into innovative and intelligent solutions, governing the Internet of Things, Digital Commerce, Business Intelligence Analytics, and Cloud Programming. Bring your challenges to us, we will give you the smartest solutions. From conceptualizing and engineering to advanced manufacturing, we help customers build and scale products fit for the global marketplace.
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Provide first, second and third tier (L1, L2, L3) product support via email, Social media, and our Forums.
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Researching, diagnosing, troubleshooting and identifying solutions to resolve customer issues in using Enpass.
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Ask customers targeted questions to quickly understand the root of the problem.
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Resolving all customer issues in a time bound manner. Comply with the SLA for issue resolution.
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Work closely with technical teams to investigate complex issues and enhance the quality of existing products.
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Document and follow-up of customer suggestions for continued improvements to Development Team.
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Provide daily metrics and reports on tickets; maintain the ticketing system and the tickets.
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Constantly Improve Product Knowledgebase to use internally and a FAQ.
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Work on improvement of customer's FAQ and User manual.
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Bachelors or Masters (Computer Science / Electronics / Electrical / IT / Computer Applications / Software Engineering).
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1 to 2 years of related work experience required. Previous product support experience from a tech-oriented software product is a plus.
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Technically sound and well versed in working with different cloud services, OS configurations & settings, networking basics and in-outs of software operations.
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Knowledge of SQL, XML, JSON is a plus.
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Ability to troubleshoot the cause of technical problem in using software.
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Good interpersonal skills; well organized, detail oriented; multitasking; strong oral and written communication skills; previous experience in conducting basic troubleshooting of software via email, online web tools.
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Ability to mentor and assign and manage tasks for others.
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Ability to troubleshoot the tickets to determine the root cause of problems in a timely manner.
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Version Control Tools: Git, CVS
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- Ability to help debug and optimise code and automate routine tasks.
- Should be extremely good in communication
- Experience in dealing with difficult situations and making decisions with a sense of urgency.
- Experience in Agile and Jira will be an add on
Python
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Full Stack Developer - Averlon