Job Description
Turing.com
Work from Home Web Developer Jobs in Hyderabad
Turing.com • Hyderabad, Telangana • via Turing
8 days ago
Full–time
No Degree Mentioned
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Job description
We, at Turing, are looking for experienced web developers who will be responsible for designing, developing, testing, publishing, and maintaining web applications and websites. Get the best web development jobs in Hyderabad and collaborate with industry veterans while working at top U.S. firms.
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Mesh
SDE - II (ML)
Mesh • San Francisco, CA, United States • via Instahyre
Full–time
No Degree Mentioned
Apply on Instahyre
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Qualifications
Machine Learning Expertise: At least 2 years of hands-on experience in Machine Learning and Deep Learning, and overall professional experience of over 3 years, with a strong emphasis on deploying models and applications to production environments
Fine-tuning: Experience in fine-tuning Small Language Models (SLMs) and leveraging them alongside LLMs for data curation
Open Source Savvy: Familiarity with open-source deep learning models and their application in various projects
Microservices Development: Experience in coding and deploying Python-based microservices
AWS Experience: Practical experience working with AWS cloud services
Responsibilities
Strategize with Product Leaders: Partner with Product Managers to conceptualize and deliver cutting-edge intelligence features that elevate our product's value
Experiment and iterate to validate your ideas
Integrate Seamlessly: Work closely with front-end and back-end engineering teams to ensure your solutions are smoothly integrated, delivering impactful features to our users
Own the Process: Take full ownership of your projects, from initial development through to deployment, upholding the highest standards of quality throughout
Continuously Improve: Implement robust feedback loops within your solutions, learning from user interactions to refine and enhance your models over time
Craft Elegant Code: Write clean, maintainable code with automated testing and deployment pipelines, ensuring a seamless and scalable workflow
Drive Timely Delivery: Manage your project timelines effectively, coordinating with cross-functional teams including Product Managers, Front-end and back-end engineers, and QAto bring your innovations to production on schedule
Communicate Proactively: As a key member of a distributed team, excel in communication, documentation, and time management, ensuring you are always in sync with your colleagues
Monitor and Optimize: Set up and maintain vigilant monitoring for your services in production, allowing us to proactively address any issues and maintain seamless operations
Job description
Responsibilities:
• Strategize with Product Leaders: Partner with Product Managers to conceptualize and deliver cutting-edge intelligence features that elevate our product's value. Experiment and iterate to validate your ideas.
• Integrate Seamlessly: Work closely with front-end and back-end engineering teams to ensure your solutions are smoothly integrated, delivering impactful features to our users.
• Own the Process: Take full ownership of your projects, from initial development through to deployment, upholding the highest standards of quality throughout.
• Continuously Improve: Implement robust feedback loops within your solutions, learning from user interactions to refine and enhance your models over time.
• Craft Elegant Code: Write clean, maintainable code with automated testing and deployment pipelines, ensuring a seamless and scalable workflow.
• Drive Timely Delivery: Manage your project timelines effectively, coordinating with cross-functional teams including Product Managers, Front-end and back-end engineers, and QAto bring your innovations to production on schedule.
• Communicate Proactively: As a key member of a distributed team, excel in communication, documentation, and time management, ensuring you are always in sync with your colleagues.
• Monitor and Optimize: Set up and maintain vigilant monitoring for your services in production, allowing us to proactively address any issues and maintain seamless operations.
Requirements:
• Machine Learning Expertise: At least 2 years of hands-on experience in Machine Learning and Deep Learning, and overall professional experience of over 3 years, with a strong emphasis on deploying models and applications to production environments. A minimum of 1 year of experience with Large Language Models (LLMs), whether open or closed source, is highly preferred.
• Prompt Engineering: Proficiency in prompt engineering with LLMs, including experience in taking these solutions live in production.
• End-to-end ML Lifecycle Management: Demonstrated experience across the entire ML lifecycle from model evaluation to collecting feedback from production, and implementing continuous improvements.
• Core ML Knowledge: Strong understanding of key ML concepts and metrics, such as precision, recall, F1 score, and class imbalance.
• Programming Proficiency: Solid working knowledge of Python and SQL, with a focus on writing clean, maintainable code and adhering to best engineering practices, including developing tests for AI solutions.
• Cloud and ML Operations: Experience with cloud platforms and deploying ML solutions within them, coupled with knowledge of DevOps and MLOps tools.
• Troubleshooting Skills: Proven troubleshooting and debugging skills, especially in live production systems.
• Problem-solving acumen: Ability to translate business challenges into effective ML solutions, particularly with LLMs.
• Continuous Learning: Keen ability to stay ahead of the curve with the latest advancements in AI, and apply relevant innovations to existing problems.
• Data Analysis and Communication: Strong data analysis and visualization skills, with the capability to present insights effectively to stakeholders.
Nice-to-Have Skills and Experience:
• Fine-tuning: Experience in fine-tuning Small Language Models (SLMs) and leveraging them alongside LLMs for data curation.
• Open Source Savvy: Familiarity with open-source deep learning models and their application in various projects.
• Microservices Development: Experience in coding and deploying Python-based microservices.
• AWS Experience: Practical experience working with AWS cloud services.
