Digital-Staff-Machine Learning Developer
Digital-Staff-Machine Learning Developer
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Job Description
At EY youll have the chance to build a career as unique as you are with the global scale support inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself and a better working world for all.
Position Name
ML Developer
Taleo ID
Position Level
Staff
Employment Type
Permanent
Number of Openings
1
Work Location
Kochi Chennai Noida Bangalore Pune Kolkata TVM
Position Details
As part of EY GDS Assurance Digital you will be responsible for leveraging advanced machine learning techniques to develop innovative high-impact models and solutions that drive growth and deliver significant business value.
You will be helping EYs sector and service line professionals by developing analytics enabled solutions integrating data science activities with business relevant aspects to gain insight from data.
This is a full-time Machine Learning Developer role responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle including data analysis feature engineering model training evaluation and deployment.
Requirements (including experience skills and additional qualifications)
A bachelors degree (BE/BTech/MCA & MBA) in Computer Science Engineering Information Systems Management Accounting Finance or a related field with adequate industry experience.
Technical skills requirements
- Develop and implement machine learning models including regression classification (e.g. XGBoost Random Forest) and clustering techniques.
- Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets.
- Apply dimension reduction techniques to improve model performance and interpretability.
- Utilize statistical models to design and implement effective business solutions.
- Evaluate and validate models to ensure robustness and reliability.
- Should have solid background in Python
- Familiarity with Time Series Forecasting.
- Basic experience with cloud platforms such as AWS Azure or GCP.
- Exposure to ML Ops tools and practices (e.g. MLflow Airflow Docker) is a plus
Additional skill requirements:
- Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling analysis visualization and process automation.
- Skilled in selecting and applying the most suitable standards methods tools and frameworks for specific ML tasks and use cases.
- Capable of collaborating effectively within cross-functional teams while also being able to work independently on complex ML projects.
- Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges.
- Excellent communication skills able to present complex technical concepts clearly to both technical and non-technical audiences.
What we look for
- A Team of people with commercial acumen technical experience and enthusiasm to learn new things in this fast-moving environment.
- An opportunity to be a part of market-leading multi-disciplinary team of 7200 professionals in the only integrated global assurance business worldwide.
- Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries
What working at EY offers
At EY were dedicated to helping our clients from startups to Fortune 500 companies and the work we do with them is as varied as they are.
You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus we offer:
- Support coaching and feedback from some of the most engaging colleagues around
- Opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way thats right for you
About EY
As a global leader in assurance tax transaction and advisory services were using the finance products expertise and systems weve developed to build a better working world. That starts with a culture that believes in giving you the training opportunities and creative freedom to make things better. Whenever you join however long you stay the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people well make our ambition to be the best employer by 2020 a reality.
If you can confidently demonstrate that you meet the criteria above please contact us as soon as possible.
Join us in building a better working world.
EY provides equal employment opportunities to applicants and employees without regard to race color religion sex sexual orientation gender identity national origin protected veteran status or disability status.
EY Building a better working world
EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.
Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.
Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.
Employment Type
Full-Time
