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Sr Machine Learning Engineer

Sr Machine Learning Engineer

Xoom

5 - 7 years

5 - 8 Lacs

Chennai Bengaluru

Posted:4 hours ago| Platform:

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Skills Required

Mining Computer science Artificial Intelligence Diversity and Inclusion Machine learning Data processing Wellness Data quality Natural language processing SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Job Description

Essential Responsibilities

Develop and optimize machine learning models for various applications.
Preprocess and analyze large datasets to extract meaningful insights.
Deploy ML solutions into production environments using appropriate tools and frameworks.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models.

Minimum Qualifications

Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience.
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Several years of experience in designing, implementing, and deploying machine learning models.

Preferred Qualification

MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelors degree in engineering, science, statistics or mathematics with a strong technical background in machine learning.

Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, is required .

Candidates must possess a comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally, expertise in at least one of the following specialized areas is required Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI ( GenAI ).

Experience with Cloud frameworks such as GCP, AWS is preferred.

Experience with developing machine learning models at scale from inception to business impact

Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring

E xperience in mentoring and supporting junior data scientists or engineers .

Experience working in a multi-cultural and multi-location organization an advantage .

Team player, responsible, delivery-oriented, details-oriented , o utstanding communication skills .

Good to Have

Experience with applying LLMs, prompt design, and fine-tuning methods

Experience with developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data.

Knowledge of Payments industry, transaction risk domain.

Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications .

Subsidiary

PayPal

Travel Percent

For the majority of employees, PayPals 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

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 https//www.paypalbenefits.com .

Who We Are

Click Here 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. .

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 Join our Talent Community .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

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Sr Machine Learning Engineer