QA Manual - 5 Openings

1. Strong experience in Azure – mainly Azure ML Studio, AKS, Blob Storage, ADF, ADO Pipelines.
2. Ability and experience to register and deploy ML/AI/GenAI models via Azure ML Studio.
3. Working knowledge of deploying models in AKS clusters.
4. Design and implement data processing, training, inference, and monitoring pipelines using Azure ML.
5. Excellent Python skills – environment setup and dependency management, coding as per best practices, and knowledge of automatic code review tools like linting and Black.
6. Experience with MLflow for model experiments, logging artifacts and models, and monitoring.
7. Experience in orchestrating machine learning pipelines using MLOps best practices.
8. Experience in DevOps with CI/CD knowledge (Git in Azure DevOps).
9. Experience in model monitoring (drift detection and performance monitoring).
10. Fundamentals of data engineering.
11. Docker-based deployment is good to have.

Position: Full-Stack Developer

Experience level: 5 + years

Location: Bangalore / Hyderabad

Tech stack: Node, Loopback, React

Essential Duties:

• Design and develop technical solutions that meet user needs with respect to functionality, performance, scalability, and reliability.
• Drive department best practices, guidelines implementation, and adhering to standards.
• Build and maintain medium-sized software platforms in the cloud.
• Build elegant, maintainable, well-documented, secure code.

Good to have:

• Development using a test-driven approach, AWS

Qualifications:

• 5+ years of progressive development experience as a Software Engineer.
• Bachelor's degree in Computer Science/Engineering or equivalent work experience.
• Strong hands-on development experience in Node JS and React.
• Hands-on Experience with RESTful Webservices/API and web-based applications is preferred.
• Experience implementing solutions using Agile delivery methodologies.

Hi,

We are looking for cloud solution professionals with the following skill sets;

Experience: 10+ years in cloud architecting

Location: Mumbai

Job Responsibilities:

• Analyze and understand customer business processes and workflows, define requirements and design appropriate solutions.
• Provide End 2 end cloud Solutioning along with secured infra
• Collaborate with vendors for the execution
• Well understanding on open source stack frameworks, AWS & Azure Cloud services
• Solutioning extending from green field to enterprise view
• Presentation skills with a high degree of comfort with both large and small audiences.
• High level of comfort communicating effectively across internal and external organizations
• Intermediate/advanced knowledge of the cloud services, market segments, customer base and industry verticals.
• Demonstrated experience leading or developing high quality, enterprise scale software products using a structured system development life cycle.
• Demonstrated ability to adapt to new technologies and learn quickly.
• Certified Solutions Architect( AWS / Azure)
• Recommendations on security, cost, performance, reliability and operational efficiency to accelerate challenging, mission-critical projects
• Experience migrating or transforming customer solutions to the cloud

Primary Skills :

JAVA / J2EE; Spring, Spring Boot, Microservices,Angular JS, Instream data handling, Elastics search DB, Mango DB,DevOps tools- Jenkin, github,maven build, Hands on AWS & Azure cloud services,Mobile: Native and hybrid app hands on;Docker Containers , AKS,Big data and Hbase, Data Lake , service bus, AD

Secondary Skills :

• Extensive experience in Microservices, Rest Services, JPA, Automated unit testing through tools.
• Proven design skills and expertise is required.
• Good knowledge of current / emerging technologies and trends.
• Good analytical, grasping and problem solving skills. Excellent written and verbal communication skills. High levels of initiative and creativity.
• Good communication skills with all stake holders, good team player with ability to mentor juniors

About Gobillion

Gobillion is a YCombinator backed IIM-NIT alumni co-founded social commerce startup headquartered in San Francisco, USA with offices in New Delhi, Bangalore and Guwahati. We are bringing e-commerce 2.0 to the next 400 million online customers across India, through a community and social driven approach. Our co-founding has diversified experience with prestigious organizations including McKinsey & Company, Deloitte US, EY, Adobe and SAP Labs.

Gobillion has been rapidly scaling and is backed by some of the world’s most prestigious investors from US, Europe, SE Asia and India including - YCombinator, Justin Mateen (Founder - Tinder), Pioneer Fund, Soma Capital, Venture Souq, Goodwater Capital, LetsVenture, Vikalp Sahni (Co-Founder- Gobibibo) amongst others.

We have been selected for and globally validated by the world’s leading investors/accelerators including YCombinator, Founder Institute Silicon Valley, NASSCOM 10000 Startups - India and Assam Startup. We have been named as the Top 10 Global startup for YCombinator S21 by Alex Mitchell.

Summary of role: As a Developer, you will be working alongside our product team in the conceptualization, design and development of server side components. You will be doing the following on the job

• Write clean, manageable code and maintain proper documentation
• Create, test and deploy and maintain the applications on production servers
• Continuously discover, analyze, and implement new technologies and frameworks to maximize development efficiency
• Lead team in crafting solutions in different areas and ensure timely delivery
• Ensure secure architecture for Servers

Why Join Us?

• You will have a chance to be a leader and have the responsibility to scale Gobillon across India's most fast growing cities
• The opportunity to join one of India’s fastest growing companies at an early stage - We are giving our early team members to benefit from a strong ESOP pool and be part of our growth journey
• Joining an amazing team of Gobillion rockstars from colleges like IIMs, IITs, NITs etc. and from organizations including McKinsey & Company, Deloitte US, EY, Adobe, SAP Labs, Urban Company, Udaan, Amazon, Delivery, Ninjacart, Accenture etc.
• Wear the Gobillion badge with pride - We are looking for owners with a founder’s mindset - not just employees. If you are passionate about our mission about making e-commerce social for the next 400M customers in India and serve as culture carriers - we are the right place for you!

Key Responsibilities of this Role:

• Experience with DevOps and writing REST APIs & Micro services architecture
• Strong programming expertise in Node js, Nest Js
• Good understanding of Mongo databases and other NoSql Databases and SQL Database
• Solid hold on Data structures and Algorithm
• Good understanding of System Design
• Development expertise in AWS services like Lambda, SQS, SNS
• Good understanding of DevOps and Server security
• Exposure to Cloud Platforms like AWS (preferred), Azure or Google Cloud
• Unix command line experience
• Well-versed with Software Development Life Cycle
• Demonstrate the ability to be a self-starter and learn quickly
• Excellent analytical and problem-solving skills
• Passion for learning and implementing new technologies
• Excellent understanding of software Architectures

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics