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    OverviewiHub-Data, IIIT Hyderabad seeks a talented Machine Learning/Deep Learning Software Engineer to join our innovative team.

Machine Learning Engineer

1 month ago

Hyderabad, Telangana, India Zallery Full time

Job Description :

We are seeking an experienced Machine Learning Engineer to join our dynamic and innovative team. As a Machine Learning Engineer, you will play a key role in developing and implementing machine learning models to solve complex business problems. You will collaborate with cross-functional teams to understand requirements as well as deliver scalable and efficient ML :

- Developed and implemented advanced machine learning models to address specific business challenges

- Explore the data and identify differences in data distribution that could impact performance when deployed

- Train, evaluate, and fine-tune machine learning models using appropriate frameworks and tools

- Work with data scientists to implement data preprocessing and feature engineering infrastructure to improve model performance

- Optimize machine learning models for scalability and efficiency, considering real-time and batch processing requirements

- Ensure code quality, maintainability, and documentation standards are met. Write clear and concise technical documentation

- Stay updated on the latest advancements in machine learning and contribute to the research and innovation within the field

- Propose and implement improvements in existing model development

- Work closely with data scientists to define collection events and data transformations needed to drive personalized learning

- Work closely with Product Owners to understand potentials and limitations of AI models developed and deployed

- Provide guidance and mentorship to junior members of the team

- Adhere to ethical standards and comply with data laws and regulations applicable to the job function

- Clearly communicate findings to senior Skills :


- Experience with Python-based AI/ML frameworks, Java, and/or R

- Experience with ML frameworks (like Keras, PyTorch, Tensorflow) and libraries (like scikit-learn)

- Experience working with large datasets, handling data preprocessing tasks, and exploring data to identify patterns and insights

- Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles

- Proficiency in cloud services like SageMaker, S3, EC2, Azure Machine Learning

- Ability to containerize machine learning applications for portability and reproducibility

- Understanding of container orchestration for managing and scaling containers in a cloud environment

- Knowledge of serverless computing for executing code without managing the underlying infrastructure

- Experience with object storage for managing large datasets

- Knowledge of databases for storing and retrieving data

- Ability to provision and manage virtual machines for machine learning tasks

- Monitoring and logging tools for tracking the performance and health of models

- Understanding of identify and access management for securing cloud resources

- Integration of machine learning workflows into CI/CD pipelines for automated deployment

- Ability to optimize costs associated cloud resources

- Hands on experience with cloud-based ML services for model training, deployment, and management

- Understanding of cloud networking for secure and efficient communication between services

- Proficiency in version control for collaboration and code management

- Excellent communication skills

- Ability to work effectively in a cross-functional team

Education, Certifications, or Special Licenses :

- Master's Degree or Ph.D. in Computer Science, Machine Learning, Applied Mathematics, Engineering or a related field

- 3 to 5 years of training or experience in AI/ML algorithm development

- Experience in technology enhanced learning solution research and Requirements (Specialized skill sets, behavioral/technical) : Experience with Python-based AI/ML frameworks, Java, and/or R

- Experience with ML frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

- Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles

- Excellent communication skills

- Ability to work effectively in a cross-functional team

(ref:hirist.tech)