28,929 Machine Learning Engineering jobs in India

Description

Your day to day

Essential Responsibilities:

People Management Roles:

What do you need to bring-

Minimum Qualifications:

Preferred Qualification:

Subsidiary:

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Description

Your day to day

Essential Responsibilities:

People Management Roles:

What do you need to bring-

Minimum Qualifications:

Preferred Qualification:

Subsidiary:

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Overview

At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward.

We’re looking for a Senior Lead Engineer to join the Machine Learning Experience (MLX) team! As a Capital One Senior Lead Engineer, you'll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases. You will work on building solutions to collect metadata, metrics and insights from the large scale Gen AI platform. And build intelligent and smart solutions to derive deep insights into platform's use-cases performance and compliance with industry standards.
You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components.

The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience we're creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers.

What You’ll Do:
● Architect and develop full stack solutions for monitoring, logging, and managing Generative AI , machine learning workflows and models.
● Architect, build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Foundation Models including training, pre-training, fine-tuning and prompting.
● Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI.

● Partner with product and design teams to develop and integrate advanced observability tools tailored to Gen-AI.
● Leverage cloud-based architectures and technologies to deliver solutions for platform users providing deep insights into model performance, data flow, and system health.
● Collaborate as part of a cross-functional Agile team, data scientists, ML engineers, and other stakeholders to understand requirements and translate them into scalable and maintainable solutions.
● Use programming languages like Python, Scala, or Java

● Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of machine learning models and application code.

Basic Qualifications:
● Master's Degree in Computer Science or a related field
● Minimum 12 years of experience in software engineering and solution architecture
● At least 8 years of experience designing and building data intensive solutions using distributed computing
● At least 8 years of experience programming with Python, Go, or Java
● Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems.
● Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs.

● Excellent communication skills, capable of articulating complex technical concepts to diverse audiences and driving cross-functional initiatives.
● Experience developing and deploying ML platform solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

Description

Your way to impact

As a Sr. Manager, Machine Learning Engineering in the team, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams on solution implementation, and integration within complex environments.

Your day to day

Essential Responsibilities:

People Management Roles:

Minimum Qualifications:

Preferred Qualification:

Subsidiary:

Travel Percent:

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

As a Sr. Machine Learning Ops Platform Engineer , you will be responsible for building automation and leading-edge architecture around Data and AI/ML engineering on an AWS & Kubernetes platform. Specifically, you will code and help architect a production-grade, scalable platform to be used by dozens of data scientists. You will help define and ensure best coding & CICD practices within the team of excellent and engaged engineers. You will be given creative freedom and work in supportive team environment. You will do hands-on code development and interact with business stakeholders.

Let's talk about responsibilities:

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.

Job Title: AIML Engineer
Position: SE
Experience: 5-6 yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Primary Skill-AI/ML
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.

Responsibilities
===
You are a talented ML Engineer who likes a challenge. We are looking to build ML/AI solutions that possess the transformative power to help clients adopt ML-Ops platforms into the very fabric of what they do.
From the implementation of ML/AI into critical infrastructure, all the way through to building out the latest recommendation engine
for digital marketing; the opportunity to develop, learn and create is here. You will help support the creation of thought-provoking
solutions using the likes of Kubeflow/ML-Flow and bring a good understanding of Kubernetes to deliver ML/AL at scale, but equally you
will bring the ability to work collaboratively with clients and help lead them on their journey to reap the benefits of ML/AI.
You are a self-starter, fast-learner, and bring a high level of drive and tenacity, but are down to earth and able to connect
with a wide range of internal and external stakeholders. Our junior team members are always looking for role models and
you will relish the opportunity to help shape the next generation of ML/AI specialists and support building out our growing Centre of
Excellence and lead from the front.
Requirements:
===
We are looking for great people to join a great culture. We do not expect everyone to have all of the skills below, but you re the type of person who has the ability to get there quickly:
Candidate should be proactive, problems solvers, ready to learn on their own.
Proficiency in one or more modern programming languages, mainly Python
Can work across one or more of the common cloud environments Azure/AWS/GCP
Solid understanding of a ML/AI libraries and algorithms cutting across the likes of Scikit-Learn, Keras and TensorFlow
Demonstrable experience of Kubernetes, Kubeflow/ML-flow and ability to manage containerised workflows, including performance monitoring and tuning and solid understanding of ML-Ops practices to drive production model reliability and efficiency.
Advanced knowledge of application, data, and infrastructure architecture disciplines
Understanding of architecture and design across all systems
Knowledge of industry-wide technology trends and best practices across Machine Learning, Data Movement, Security, etc.
Ability to work in large, collaborative teams to achieve organizational goals.
Passionate about building an innovative culture.
Understanding of software skills such as business analysis, development, maintenance, and software improvement
Ability to see the road ahead and design reusable code.
Must Have Skills
===
ML/AI libraries and algorithms
Python
Kubernetes, Kubeflow/ML-flow
ML-Ops practices
Cloud Knowledge
Scikit-Learn, Keras and TensorFlow
Candidate should be proactive, Problems solvers, ready to learn on their own
Good to have Skills
===
Worked on any of common cloud environments Azure/AWS/GCP
workflows
Database