Total Employees 100+
Year Founded, 2013
About the Role
We are looking for an experienced and talented Senior Machine Learning Lead to join our team.
The successful candidate will be responsible for designing, developing, and implementing cutting-edge machine learning models and systems.
They will work on a wide range of projects, from data preprocessing and feature engineering to model development and deployment.
Bachelor's, Master's, or Ph.D. in computer science, data science, machine learning, or a related field.
Experience - 6 to 8 years
Excellent communication and teamwork abilities.
Proven experience as a Machine Learning Developer or Data Scientist, with a strong portfolio of projects and models.
Proficiency in machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Strong programming skills in languages such as Python or R.
Experience with deep learning and neural networks.
Familiarity with data preprocessing and feature engineering techniques.
Excellent problem-solving and analytical skills.
Salary: As per industry standard
Machine Learning Model Development: Develop, implement, and evaluate machine learning models, including deep learning, ensemble methods, and other techniques.
Data Preprocessing and Feature Engineering: Clean, preprocess, and transform data for machine learning purposes. Engineer relevant features and perform data analysis.
Algorithm Design: Design and experiment with new machine learning algorithms and approaches to solve complex problems.
Model Optimization: Optimize models for performance, accuracy, and scalability.
Deployment: Deploy machine learning models into production, ensuring they integrate seamlessly with existing systems.
Testing and Evaluation: Design and conduct experiments to evaluate model performance. Fine-tune models as needed.
Research and Innovation: Stay updated on the latest advancements in machine learning and AI and apply innovative techniques to projects.
Documentation: Create and maintain documentation for models, code, and processes.
Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts.
Mentorship: Provide guidance and mentorship to junior team members.
Working days : Monday to Friday.
Timings: 09:30am to 06:30pm
Technology We Use
Amazon Web Services