IndusInd Bank
3 weeks ago
Job Description :
We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
Job Responsibilities :
- Design, develop, and implement end-to-end machine learning systems, including data pre-processing, feature engineering, model training and evaluation, and deployment.
- Create and own cloud native API to deploy ML Models
- Exploring big data, developing and maintaining ML pipelines for internal stakeholders
- Working extensively on cloud environments (AWS, Azure etc.) for data handling and Databricks, H2ODriverless or MLOPs environment
- Advocating the application of best practices in code hygiene and code reviews
- Work in a cross-functional team of Machine Learning engineers and Data scientists to lead the design and development of large scale batch and real-time ML Services.
- Design, implement and deploy large scale data pipelines (both real time and batch) and back-end services.
- Find and advocate for Industry standards and best practices in machine learning engineering
methodologies, techniques, and technologies.
- Collaborate with data scientists, software engineers, and business stakeholders to identify
opportunities to apply machine learning to improve business outcomes.
- Participate in code and design reviews, and contribute to the development of best practices and standards for the machine learning team.
- Automate campaigns in a scalable manner to optimize compute and infrastructure cost
- Hands-on work experience on advance level of Python, Scala, SQL and big data interfaces - PySpark, Hadoop etc.
Other required skills :
- Good know-how of Machine Learning algorithms, other statistical models and feature style="">Education, Work Experience, Key Skill Set Requirements :
- Bachelor's or Master's degree in quantitative fields and computational discipline (like Computer Science, Data Science, Informatics) or a related field from Tier 1,2 college.
- 2+ years of experience in machine learning, data science, or a related field.
- Strong programming skills in Python, PySpark and experience with popular machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Excellent written and verbal communication skills, with the ability to effectively communicate
technical concepts to nontechnical stakeholders.
- A proactive problem-solver with excellent communication and collaboration skills.
- Financial industry experience is a good to have.
- Knowledge of cloud environments (AWS, Azure etc.) for data handling.
- Know-how of Databricks, H2ODriverless or MLOPs environment is a good to have.
(ref:hirist.tech)
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