Time since we first saw it
Day 82
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,301 similar postings that came down. Coming down is not always a hire.
Reads like a ML Engineer role: putting models into production.
IND-Hyderabad-GCC
Live, first seen by us 82 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Lead end-to-end AI product development from ideation to launch
Design, deploy and monitor machine learning models in production
Develop and fine-tune generative AI models and LLMs for business applications
Build scalable, automated data pipelines for batch and real-time analytics
Communicate findings to technical and non-technical stakeholders
Lead the end-to-end product development lifecycle, from ideation to launch
Design, deploy, and monitor machine learning models in production using MLOps tools and cloud-native services.
Develop and fine-tune Generative AI models and LLMs, integrating them into business applications.
Build scalable, automated data pipelines for batch and real-time analytics
Communicate complex findings to both technical and non-technical stakeholders through visualizations, reports, and presentations.
What we need from you: - Bachelor's degree from an accredited college or university, and/or equivalent relevant experience. MS, MBA or CFA designation is a plus. - A minimum of 5 years of experience in data science, machine learning, or a related field. Wealth management industry related experience is a plus.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 82
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,301 similar postings that came down. Coming down is not always a hire.
4 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.
- Knowledge of data privacy regulations and responsible AI practices. - Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) - Strong experience with data manipulation tools (e.g., SQL, pandas).
- Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) - Strong experience with data manipulation tools (e.g., SQL, pandas). - Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib). - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices. - Detail oriented with the ability to organize and prioritize tasks to ensure timely delivery of the projects
- Strong understanding of AI technologies, including machine learning, natural language processing, and Generative AI. - Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML), containerization (Docker), and orchestration (Kubernetes). - Hands-on experience with Generative AI, LLMs, and prompt engineering.
- Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and relevant technologies. - Build scalable, automated data pipelines for batch and real-time analytics using tools like Airflow, Spark, or dbt. - Ensure compliance with data privacy and security standards in all AI solutions.
- Hands-on experience with Generative AI, LLMs, and prompt engineering. - Familiarity with modern data engineering tools (Airflow, Spark, Kafka, dbt). - Knowledge of data privacy regulations and responsible AI practices.
- Strong experience with data manipulation tools (e.g., SQL, pandas). - Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib). - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices.
Complete your application on seic.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
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.
SEI is seeking a highly skilled and experienced Senior Data Scientist to join our enterprise Artificial Intelligence team. In this role, you will lead data-driven initiatives, develop advanced models, and deliver actionable insights that directly impact our business strategy. You will work closely with cross-functional teams, mentoring junior data scientists and contributing to the overall Artificial Intelligence vision at SEI.
What you will do:
What we need from you:
What we would like from you:
SEI’s competitive advantage
To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, hybrid working environment and a work-life balance that enables you to relax, recharge and be there for the people you care about.
Our benefits include Medical Insurance, Term Life Insurance, Voluntary Provident Fund, 10 Predefined Holidays and 2 Floating Holidays in a year, Paid Time off and more.
We are a technology and asset management company delivering on our promise of building brave futures—for our clients, our communities, and ourselves. Come build your brave future at SEI.
SEI is an Equal Opportunity Employer and so much more…
After 50 years in business, SEI is a leading global provider of investment processing, investment management, and investment operations solutions. Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce. We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth. At SEI, we’re (literally) invested in your success. We offer our employees paid parental leave, paid volunteer days, professional development assistance and access to thriving employee networks.
AI Acceptable Use in the application and interview process:
SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals’ personal and professional lives. If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please ensure you have reviewed and adhere to our AI use guidelines.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
IND-Hyderabad-GCC
SEI’s competitive advantage To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, hybrid working environment and a work-life balance that enables you to relax, recharge and be there for the people you care about. Our benefits include Medical Insurance, Term Life Insurance, Voluntary Provident Fund, 10 Predefined Holidays and 2 Floating Holidays in a year, Paid Time off and more.
No clear work-authorization passage found. Eligibility is unconfirmed.