Overview:
The Machine Learning Engineer plays a crucial role in our organization leveraging advanced data analysis and modeling techniques to develop cuttingedge machine learning solutions. This role is instrumental in driving innovation and improving our products and services through the application of predictive modeling recommendation systems and other machine learning algorithms.
Key Responsibilities:
- Design and develop machine learning models and algorithms.
- Collect preprocess and analyze large datasets to extract meaningful insights.
- Implement and optimize neural networks and deep learning algorithms.
- Deploy machine learning models into production environments.
- Collaborate with crossfunctional teams to integrate machine learning solutions into various products.
- Continuously research and evaluate stateoftheart machine learning techniques and tools.
- Conduct A/B testing to evaluate model performance and make datadriven decisions.
- Translate business objectives into quantitative metrics and design machine learning solutions accordingly.
- Perform optimization and finetuning of machine learning models for performance and accuracy.
- Contribute to the development of scalable infrastructure for data processing and model deployment.
Required Qualifications:
- Proven experience in developing and deploying machine learning models in realworld applications.
- Proficiency in Python R or similar programming languages for data analysis and modeling.
- Solid understanding of statistical analysis hypothesis testing and experimental design.
- Experience with popular machine learning frameworks such as TensorFlow Keras or PyTorch.
- Knowledge of big data technologies and tools such as Hadoop Spark or Hive.
- Ability to work with unstructured data and perform feature engineering.
- Strong understanding of neural networks deep learning and reinforcement learning.
- Excellent problemsolving and analytical skills.
- Experience in handling audio/video/images content
Work Mode WFO 5 Days a week
Work Location HSR Layout/Bengaluru
deep learning,statistical analysis,hypothesis testing,pytorch,hive,modeling,neural networks,analytical skills,r,tensorflow,unstructured data,computer vision,keras,big data technologies,feature engineering,data analysis,problem-solving,hadoop,python,experimental design,reinforcement learning,spark,machine learning