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Machine Learning Engineer (SDE-II) (Remote)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

India

Offer summary

Qualifications:

2+ years in Machine Learning and Deep Learning, Experience with Large Language Models, Solid knowledge of Python and SQL, Familiarity with cloud platforms and DevOps, Strong understanding of ML concepts.

Key responsabilities:

Collaborate with Product Managers on features
Integrate solutions with engineering teams
Own your projects from development to deployment
Implement feedback loops for continuous improvement
Monitor services in production and optimize

Mesh

51 - 200 Employees

See more Mesh offers

Job description

Your missions

What is Mesh?

Mesh is an AI based performance enablement platform that helps teams achieve their goals faster by

inculcating the habit of regular check-ins into goals and employee 1:1s
enabling continuous feedback and constructive advice throughout the organisation
performance review in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact on the bottom line.

About The Company

Incorporated in 2020, Mesh is a B2B tech startup based out of US and India
We are backed by top VC firms such as YC, Peak XV and RTP Global
50+ customers across the world such as Canon, Comcast, Grant Thornton and Groww among others

What you’ll do

As a member of our team, you will:

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 Backend Engineers, and QA—to 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.

What you'll need

Must-Have Skills & Experience:

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 & Communication: Strong data analysis and visualization skills, with the capability to present insights effectively to stakeholders.

Nice-to-Have Skills & 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.

What else does Mesh have to offer?

We’re so glad you asked!

Competitive Salary and Equity: We offer a competitive salary package, including equity, to ensure our team is rewarded for their contributions.
Family Health Insurance: We provide thoughtful benefits to support our employees' well-being and security, including family health insurance that covers your entire family at our expense.
Investment in Growth: We believe in investing in our people's personal and professional growth. We provide ample opportunities for learning and development to help you expand your skills and advance your career.
Prime Location and Top-Notch Amenities: Our new Gurgaon office is based in a prime location on Golf Course Road and is packed with top-notch office amenities that will assist you in maximizing productivity.

If that gets you excited, now is the perfect time to join; so bring your appetite for ownership and creation and help Mesh continue to grow!

Mesh is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, creed, colour, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, or sex.