Overview
The Machine Learning Engineer plays a crucial role in our organization, leveraging advanced data analysis and modeling techniques to develop cutting-edge 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 cross-functional teams to integrate machine learning solutions into various products.
- Continuously research and evaluate state-of-the-art machine learning techniques and tools.
- Conduct A/B testing to evaluate model performance and make data-driven decisions.
- Translate business objectives into quantitative metrics and design machine learning solutions accordingly.
- Perform optimization and fine-tuning 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 real-world 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 problem-solving and analytical skills.
- Experience in handling audio/video/images content
Work Mode - WFO, 5 Days a week
Work Location - HSR Layout/Bengaluru
Skills: 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
