Applied Scientist II, Digital Acceleration
Applied Scientist II, Digital Acceleration
Posted on :
27-06-2025
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1 Vacancy
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Job Description
The Digital Acceleration (DA) team in India is seeking a talented self-driven Applied Scientist to work on prototyping optimizing and deploying ML algorithms for solving Digital business problems.
Key job responsibilities:
- Research experiment and build Proof Of Concepts advancing the state of the art in AI & ML.
- Work cross-functionally across engineering product and business teams to understand customer needs scope science work and drive science solutions from conception to customer delivery.
- Thrive in dynamic environments adapting quickly to evolving technical requirements.
- Engage in effective technical communication (written & spoken) with coordination across teams.
- Conduct thorough documentation of algorithms methodologies and findings for transparency and reproducibility.
- Publish research papers in internal and external venues of repute
- Support on-call activities for critical issues
Basic Qualifications:
- Experience building machine learning models or developing algorithms for business application
- PhD or a Masters degree and experience in CS CE ML or related field
- Rapidly prototype ML/LLM solutions evaluate feasibility and drive projects to production deployment
- Knowledge of programming languages such as C/C Python Java or Perl
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Proficiency in coding and software development with a strong focus on machine learning frameworks.
- Understanding of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc.
- Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed cross-functional team setting.
Preferred Qualifications
- 3 years of building machine learning models or developing algorithms for business application experience
- Have publications at top-tier peer-reviewed conferences or journals
- Track record of diving into data to discover hidden patterns and conducting error/deviation analysis
- Ability to develop experimental and analytic plans for data modeling processes use of strong baselines ability to accurately determine cause and effect relations
- Comfortable working in a fast paced highly collaborative dynamic work environment
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Key job responsibilities:
- Research experiment and build Proof Of Concepts advancing the state of the art in AI & ML.
- Work cross-functionally across engineering product and business teams to understand customer needs scope science work and drive science solutions from conception to customer delivery.
- Thrive in dynamic environments adapting quickly to evolving technical requirements.
- Engage in effective technical communication (written & spoken) with coordination across teams.
- Conduct thorough documentation of algorithms methodologies and findings for transparency and reproducibility.
- Publish research papers in internal and external venues of repute
- Support on-call activities for critical issues
Basic Qualifications:
- Experience building machine learning models or developing algorithms for business application
- PhD or a Masters degree and experience in CS CE ML or related field
- Rapidly prototype ML/LLM solutions evaluate feasibility and drive projects to production deployment
- Knowledge of programming languages such as C/C Python Java or Perl
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Proficiency in coding and software development with a strong focus on machine learning frameworks.
- Understanding of relevant statistical measures such as confidence intervals significance of error measurements development and evaluation data sets etc.
- Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed cross-functional team setting.
Preferred Qualifications
- 3 years of building machine learning models or developing algorithms for business application experience
- Have publications at top-tier peer-reviewed conferences or journals
- Track record of diving into data to discover hidden patterns and conducting error/deviation analysis
- Ability to develop experimental and analytic plans for data modeling processes use of strong baselines ability to accurately determine cause and effect relations
- Comfortable working in a fast paced highly collaborative dynamic work environment
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Employment Type
Full-Time
Key Skills
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