Experience
4 - 12 yrs
Salary (CTC)
₹43.8L - ₹63.4L
Job Location
Bengaluru, India
Vacancy
1
Designation
Machine Learning Engineer
Job Type
ONSITE
Job Description
Responsibilities
In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions that will:
- Drive Innovation in Generative Modeling: Focus exclusively on building and optimizing generative models for international languages.
- Full-Stack Language Expertise: Own the entire generative modeling pipeline, from data preprocessing and model architecture design to training, evaluation, and deployment.
- Language Diversity: Prioritize working with a variety of popular international languages, ensuring our models are culturally and linguistically adaptable.
4+yrs of machine learning expertise.
Strong programming using Python/Objective C/Swift.
Good exposure to Deep Learning libraries like PyTorch and TensorFlow.
Thorough experience with common NLP algorithms and applications, including tokenization, language modelling, text decoding, text classifier etc.,
Preferred Qualifications
Actively exercising machine learning techniques, including implementing basic optimizers and regularizations; formulating and implementing loss functions for given tasks, applying insightful parameter tuning in model training and evaluation, reproducing and revising state-of-the-art research experiments; addressing accuracy and performance bottlenecks in distributed training and inference, and benchmarking different model compressing methods
Actively programming with high-quality codes across complex and large repositories, including implementing new optimizer or loss functions, algorithm optimizations for critical performance or accuracy, refactoring or redesigning of existing code-base for improved robustness and flexibility, processing large data set efficiently and accurately, establishing automated synthesis/training/evaluation pipeline across multiple sets of internal and external APIs, and applying common object-oriented design patterns
Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely
Experience in NLP modeling for Indian languages is desired.
Strong problem solving and drive what matters
Results oriented with a desire to work in a fast-paced and fight for excellence.
Ability to communicate effectively and innovate to the details.
Ph.D./Master/Bachelor in CS/Statistics/etc.
In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions that will:
- Drive Innovation in Generative Modeling: Focus exclusively on building and optimizing generative models for international languages.
- Full-Stack Language Expertise: Own the entire generative modeling pipeline, from data preprocessing and model architecture design to training, evaluation, and deployment.
- Language Diversity: Prioritize working with a variety of popular international languages, ensuring our models are culturally and linguistically adaptable.
4+yrs of machine learning expertise.
Strong programming using Python/Objective C/Swift.
Good exposure to Deep Learning libraries like PyTorch and TensorFlow.
Thorough experience with common NLP algorithms and applications, including tokenization, language modelling, text decoding, text classifier etc.,
Preferred Qualifications
Actively exercising machine learning techniques, including implementing basic optimizers and regularizations; formulating and implementing loss functions for given tasks, applying insightful parameter tuning in model training and evaluation, reproducing and revising state-of-the-art research experiments; addressing accuracy and performance bottlenecks in distributed training and inference, and benchmarking different model compressing methods
Actively programming with high-quality codes across complex and large repositories, including implementing new optimizer or loss functions, algorithm optimizations for critical performance or accuracy, refactoring or redesigning of existing code-base for improved robustness and flexibility, processing large data set efficiently and accurately, establishing automated synthesis/training/evaluation pipeline across multiple sets of internal and external APIs, and applying common object-oriented design patterns
Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely
Experience in NLP modeling for Indian languages is desired.
Strong problem solving and drive what matters
Results oriented with a desire to work in a fast-paced and fight for excellence.
Ability to communicate effectively and innovate to the details.
Ph.D./Master/Bachelor in CS/Statistics/etc.
No Referrers Available
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