3+ Transformer Jobs in India
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Bengaluru (Bangalore)
3 - 8 yrs
Best in industry
Python
Machine Learning (ML)Cloud Computing
Natural Language Processing (NLP)
TensorFlow
+5 more
Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!
As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.
Responsibilities:
- AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
- Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
- Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
- Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
- Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
- Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
- Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
- Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.
Requirements
- Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
- Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
- Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
- Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
- Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
- Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
- Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.
If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!
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Bengaluru (Bangalore)
2 - 5 yrs
โน4L - โน12L / yr
Named-entity recognition
Long short-term memory (LSTM)
Natural Language Processing (NLP)
BERT
NLU
+5 more
๐๐ฅ๐ข๐ ๐ข๐๐ข๐ฅ๐ข๐ญ๐ฒ ๐๐ซ๐ข๐ญ๐๐ซ๐ข๐
2-5 yrs of proven experience in ML, DL, and preferably NLP.
Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.
๐๐ก๐๐ญ ๐ฐ๐ข๐ฅ๐ฅ ๐ฒ๐จ๐ฎ ๐ฐ๐จ๐ซ๐ค ๐จ๐ง?
๐) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.
๐๐ก๐๐ญ ๐๐ซ๐ ๐ฐ๐ ๐ฅ๐จ๐จ๐ค๐ข๐ง๐ ๐๐จ๐ซ?
๐) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
๐) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
๐) Strong understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
๐) Expertise in RNN, LSTM, and other neural network architectures.
๐) DL frameworks: Tensorflow, Pytorch, Keras
๐) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
๐) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
๐) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.
๐๐ก๐ฒ ๐๐ก๐จ๐จ๐ฌ๐ ๐ฎ๐ฌ?
๐) We offer Competitive remuneration.
๐) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
๐) We offer flexibility to choose your tools, methods, and ways to collaborate.
๐) We always value and believe in new ideas and encourage creative thinking.
๐) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
๐) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
2-5 yrs of proven experience in ML, DL, and preferably NLP.
Preferred Educational Background - B.E/B.Tech, M.S./M.Tech, Ph.D.
๐๐ก๐๐ญ ๐ฐ๐ข๐ฅ๐ฅ ๐ฒ๐จ๐ฎ ๐ฐ๐จ๐ซ๐ค ๐จ๐ง?
๐) Problem formulation and solution designing of ML/NLP applications across complex well-defined as well as open-ended healthcare problems.
2) Cutting-edge machine learning, data mining, and statistical techniques to analyse and utilise large-scale structured and unstructured clinical data.
3) End-to-end development of company proprietary AI engines - data collection, cleaning, data modelling, model training / testing, monitoring, and deployment.
4) Research and innovate novel ML algorithms and their applications suited to the problem at hand.
๐๐ก๐๐ญ ๐๐ซ๐ ๐ฐ๐ ๐ฅ๐จ๐จ๐ค๐ข๐ง๐ ๐๐จ๐ซ?
๐) Deeper understanding of business objectives and ability to formulate the problem as a Data Science problem.
๐) Solid expertise in knowledge graphs, graph neural nets, clustering, classification.
๐) Strong understanding of data normalization techniques, SVM, Random forest, data visualization techniques.
๐) Expertise in RNN, LSTM, and other neural network architectures.
๐) DL frameworks: Tensorflow, Pytorch, Keras
๐) High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.
๐) Comfortable with web scraping, extracting, manipulating, and analyzing complex, high-volume, high-dimensionality data from varying sources.
๐) Experience with deploying ML models on cloud platforms like AWS or Azure.
9) Familiarity with version control with GIT, BitBucket, SVN, or similar.
๐๐ก๐ฒ ๐๐ก๐จ๐จ๐ฌ๐ ๐ฎ๐ฌ?
๐) We offer Competitive remuneration.
๐) We give opportunities to work on exciting and cutting-edge machine learning problems so you contribute towards transforming the healthcare industry.
๐) We offer flexibility to choose your tools, methods, and ways to collaborate.
๐) We always value and believe in new ideas and encourage creative thinking.
๐) We offer open culture where you will work closely with the founding team and have the chance to influence the product design and execution.
๐) And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of the users.
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Mumbai
4 - 6 yrs
โน2.8L - โน3L / yr
Electrical engineering
Electronics
PCB
Transformer
Materials management
Testing and Quality Control of Stabilizer
โข Testing and Quality Control of Transformer.
โข Servicing of all our products.
โข Inward Material Inspection.
โข PCB Testing.
โข Independent Inspection Handing.
ย โข Modification / New Development of procedures โ Products.
โขKnowledge in the products Electrical /Electronic field.
โขSelf Correspondence - email drafting, co-ordination
โข Testing and Quality Control of Transformer.
โข Servicing of all our products.
โข Inward Material Inspection.
โข PCB Testing.
โข Independent Inspection Handing.
ย โข Modification / New Development of procedures โ Products.
โขKnowledge in the products Electrical /Electronic field.
โขSelf Correspondence - email drafting, co-ordination
Read more
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