Job Location: Bengaluru, Karnataka, India
Job Description
- Help us turn research into meaningful ML products that help tens of millions of users
- Improve existing ML models: everything from tweaking the dataset to replacing the entire solution with a whole new method
- Assess the risks and merits of different approaches to solving complex problems in the light of the specific requirements and time frame
- Actively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experiments
- Closely monitor the edge cases of model performance and taking active measures of explaining the reasons and possible approaches for diminishing undesirable effects
- Be actively involved in the process of productizing research experiments into enterprise-ready AI solutions
- Actively follow advancements in AI and ML, and participate in discussions about them with the ML and research teams
Requirements
What youll need
- Production experience with Python, AWS, Kubernetes, and/or Docker. Proven skill at debugging complicated systems and writing solid test cases to ensure their stability
- Experience implementing technical solutions, tackling tough engineering problems to help build our products. You enjoy solving complex engineering problems working closely with the Product team to achieve business goals.
- A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience
- Desire to learn new things, work closely with peers from different teams, and be open to teach and learn from others.
- Passion for Machine Learning and solving problems
What wed like to see
- Production experience with Machine Learning and/or Natural Language Processing
- Experience in deep-learning frameworks like TensorFlow or PyTorch
- Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams
- Experience using Athena and Redshift
Requirements
What you’ll need Production experience with Python, AWS, Kubernetes, and/or Docker. Proven skill at debugging complicated systems and writing solid test cases to ensure their stability Experience implementing technical solutions, tackling tough engineering problems to help build our products. You enjoy solving complex engineering problems working closely with the Product team to achieve business goals. A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience Desire to learn new things, work closely with peers from different teams, and be open to teach and learn from others. Passion for Machine Learning and solving problems What we’d like to see Production experience with Machine Learning and/or Natural Language Processing Experience in deep-learning frameworks like TensorFlow or PyTorch Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams Experience using Athena and Redshift
Submit CV To All Data Science Job Consultants Across Bharat For Free

