India-Remote
Open 7 months, first seen by us 214 days agoListed location: India-RemoteRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Develop and implement end-to-end AI/ML models and workflows in Palantir Foundry and AIP
Lead development and production deployment of scalable ML models
Build end-to-end data pipelines for large-scale datasets
Use Palantir AIP features such as Agent Studio and RAG workflows to ground models in data
Mentor junior engineers and help shape team processes
Develop and implement end-to-end AI/ML models and workflows within the Palantir Foundry and AIP environment
Lead the development and deployment of scalable and efficient ML models in production environments.
Build end-to-end data pipelines for collecting, processing, and analyzing large-scale datasets.
Leverage Palantir AIP features, such as Agent Studio, RAG (retrieval-augmented generation) workflows, and copilots, to ground models in relevant data sources and the Ontology.
Mentor junior engineers and contribute to the development of team processes and best practices.
What you’ll need (Required) - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field (PhD is a plus). - 5+ years of professional experience in machine learning engineering, with a strong focus on deploying machine learning models in production environments.
Open 7 monthsWe first saw this posting 214 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 214
Up longer than most. Similar jobs usually come down between day 8 and day 76.
Well past Edwards Lifesciences’s usual: its jobs come down by about day 41.
From 5,521 similar postings that came down, and 47 of Edwards Lifesciences’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 1+ years of hands on experience with Palantir Foundry ecosystem and AIP - Proficiency in programming languages such as Python, Java, C++, or similar. - Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, etc.).
- Strong understanding of machine learning algorithms, statistics, and data structures. - Experience with cloud platforms such as AWS for model deployment and data storage. - Familiarity with big data technologies like Hadoop, Spark, or similar tools is a plus.
- Experience with deep learning techniques (e.g., CNNs, RNNs, GANs, etc.). - Familiarity with MLOps and tools for model deployment and monitoring (e.g., MLflow, Kubeflow, Docker, Kubernetes). - Knowledge of data engineering practices and tools like Apache Kafka, Airflow, etc.
- Experience with cloud platforms such as AWS for model deployment and data storage. - Familiarity with big data technologies like Hadoop, Spark, or similar tools is a plus. - Solid experience with version control systems (Git) and agile development methodologies.
- Familiarity with MLOps and tools for model deployment and monitoring (e.g., MLflow, Kubeflow, Docker, Kubernetes). - Knowledge of data engineering practices and tools like Apache Kafka, Airflow, etc.
- Proficiency in programming languages such as Python, Java, C++, or similar. - Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, etc.). - Strong understanding of machine learning algorithms, statistics, and data structures.
Complete your application on edwards.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior Engineer, AI & Machine Learning job there since April 2026. It came down after 52 days.
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions.
AI Factory team focuses in developing and delivering cutting edge technologies to improve patient care. Our vision is to provide proactive care and smart recovery to our patient community who are fighting cardiovascular disease through innovative connected solutions.
In this role you will be working alongside Product Engineering Leads in developing various desktop, web and mobile software fueled by a robust AI engine that will improve patient care. We look for candidates who are not only technically competent but can share the same pride we feel for the work we do to serve our patient community.
How you will make an impact:
Participate in agile development processes, including sprint planning and daily stand-ups
Collaborate with cross-functional teams (data scientists, software engineers, product managers, business leads) to define requirements and deliver high-quality ML solutions.
Develop and implement end-to-end AI/ML models and workflows within the Palantir Foundry and AIP environment
Leverage Palantir AIP features, such as Agent Studio, RAG (retrieval-augmented generation) workflows, and copilots, to ground models in relevant data sources and the Ontology.
Conduct research on open-source tools and ML techniques relevant to the medical domain
Design, implement, and optimize advanced machine learning algorithms to solve complex business problems.
Lead the development and deployment of scalable and efficient ML models in production environments.
Drive research and experimentation to explore new ML techniques, tools, and frameworks.
Build end-to-end data pipelines for collecting, processing, and analyzing large-scale datasets.
Mentor junior engineers and contribute to the development of team processes and best practices.
Stay up-to-date with the latest trends and advancements in machine learning and AI.
What you’ll need (Required)
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field (PhD is a plus).
5+ years of professional experience in machine learning engineering, with a strong focus on deploying machine learning models in production environments.
1+ years of hands on experience with Palantir Foundry ecosystem and AIP
Proficiency in programming languages such as Python, Java, C++, or similar.
Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, etc.).
Strong understanding of machine learning algorithms, statistics, and data structures.
Experience with cloud platforms such as AWS for model deployment and data storage.
Familiarity with big data technologies like Hadoop, Spark, or similar tools is a plus.
Solid experience with version control systems (Git) and agile development methodologies.
Strong communication skills and the ability to work effectively in cross-functional teams.
What else we look for (Preferred)
Preferred certifications include Foundry Data Engineer Certification, Foundry Solution Architect Certification, or Foundry Application Developer Certification..
Experience with deep learning techniques (e.g., CNNs, RNNs, GANs, etc.).
Familiarity with MLOps and tools for model deployment and monitoring (e.g., MLflow, Kubeflow, Docker, Kubernetes).
Knowledge of data engineering practices and tools like Apache Kafka, Airflow, etc.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
India-Remote
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.