Responsibility:
● Provide AI software engineering knowledge and technical expertise to deliver
unique software and applications.
● Productionalize state-of-the-art research into maintainable and well-engineered AI
software.
● Improve AI/Machine learning models by conducting experiments and analyzing
results to address business requirements.
...
● Coordinate with various teams to solve problems efficiently and effectively.
● Collaborate with other engineers and scientists on projects and ideas.
● Mentor freshers and interns.
Qualification Requirements:
Educational:
● Bachelor's degree with at least 7 years of experience or Master's with at least 4
years of experience. The final year project must involve the use of deep learning.
● Must have a Computer Science, Data Science, Machine Learning, or Computer
Engineering degree from a tier-1 institute (IIT/IISc if studied in India) or a University
of top world ranking (as per QS).
Technical:
● Industrial experience must be in AI/ML projects.
● Exceptional Python programming skills.
● Proficiency in deep learning frameworks such as TensorFlow / PyTorch.● Familiarity with training production-level deep learning models such as Feed
Forward neural networks, CNN, LSTM, GANs, Transformers, etc.
● Experience deploying efficient and optimized ML models with tensorrt, onnx, or
triton inference server frameworks with fast APIs.
● Prior experience in building predictive models on large amounts of tabular data or
demonstrated experience in successfully solving ML problems in either NLP or CV.
● Experience with Snowflake and Databricks is a plus.
● A high level of attention to detail and the ability to produce accurate and consistent
engineering documentation.
● Container Technologies: Kubernetes, Docker.
● Expertise in any one cloud platform: AWS, Azure, GCP.
Other:
● Strong written and verbal communication skills in English are a must.
● A desire to contribute to and maintain the company values and culture.
● Demonstrated experience working collaboratively in cross-functional teams.
● Strategic thinking with the ability to work independently and in a group under tight
deadlines`
show more
Responsibility:
● Provide AI software engineering knowledge and technical expertise to deliver
unique software and applications.
● Productionalize state-of-the-art research into maintainable and well-engineered AI
software.
● Improve AI/Machine learning models by conducting experiments and analyzing
results to address business requirements.
● Coordinate with various teams to solve problems efficiently and effectively.
● Collaborate with other engineers and scientists on projects and ideas.
● Mentor freshers and interns.
Qualification Requirements:
Educational:
● Bachelor's degree with at least 7 years of experience or Master's with at least 4
years of experience. The final year project must involve the use of deep learning.
● Must have a Computer Science, Data Science, Machine Learning, or Computer
Engineering degree from a tier-1 institute (IIT/IISc if studied in India) or a University
of top world ranking (as per QS).
Technical:
● Industrial experience must be in AI/ML projects.
● Exceptional Python programming skills.
● Proficiency in deep learning frameworks such as TensorFlow / PyTorch.● Familiarity with training production-level deep learning models such as Feed
...
Forward neural networks, CNN, LSTM, GANs, Transformers, etc.
● Experience deploying efficient and optimized ML models with tensorrt, onnx, or
triton inference server frameworks with fast APIs.
● Prior experience in building predictive models on large amounts of tabular data or
demonstrated experience in successfully solving ML problems in either NLP or CV.
● Experience with Snowflake and Databricks is a plus.
● A high level of attention to detail and the ability to produce accurate and consistent
engineering documentation.
● Container Technologies: Kubernetes, Docker.
● Expertise in any one cloud platform: AWS, Azure, GCP.
Other:
● Strong written and verbal communication skills in English are a must.
● A desire to contribute to and maintain the company values and culture.
● Demonstrated experience working collaboratively in cross-functional teams.
● Strategic thinking with the ability to work independently and in a group under tight
deadlines`
show more