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482 Resy Jobs
Engineer II
Resy
posted 4mon ago
Job Role Insights
Key skills for the job
Job Description
Experience writing software in Python, Java or similar.
Experience with data structures, algorithms, and software design.
Exposure to Data Science including Predictive Modelling.
Develop Algorithms in multilingual conversational systems.
Solve real-world scenarios for user commands and requests by identifying the right LLM models, tooling and frameworks.
Proven experience in developing and working with large language models (GPT-3, BERT, T5, etc) and productionizing them on the cloud.
Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
Proficiency in programming languages such as Python, TensorFlow, PyTorch, and related libraries for model development and deployment.
Demonstrated ability to design, train, fine-tune, and optimize large language models for specific tasks.
Expertise in pre-processing and cleaning large datasets for training models.
Familiarity with data augmentation techniques to enhance model performance.
Knowledge of LLM operations , including evaluating model performance using appropriate metrics and benchmarks.
Ability to iterate and improve models based on evaluation results.
Experience in deploying language models in production environments and integrating them into applications, platforms, or services.
Exposure in building Predictive models using machine learning through all phases of development, from design through training, evaluation, validation, and implementation.
Experience with modern AI/ML NLP Frameworks (eg Tensorflow), Dialogue Managers (egRasa), Search (eg Google Bert, GPT-3), Parsers (eg Dialogflow).
Review architecture and provide technical guidance for engineers
Perform statistical analysis of results and refine models
Experience on various data architectures, latest tools, current and future trends in data engineering space especially Big Data, Streaming and Cloud technologies like GCP, AWS, Azure.
Hands on experience with Big Data technologies (Spark, Kafka, Hive, etc) and have at least 1 Big data implementation on platforms like Cornerstone, Teradata, etc
Experience with Visualization Tools like Tableau, Power BI, etc
Experience with complex, high volume, multi-dimensional data, as we'll as ML/AI models for unstructured, structured, and streaming datasets.
Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks
Exposure in building cloud-native platforms on modern tech stack: AWS, Java, Spring Framework, RESTful API, and container-based application.
Ability to learn new tools and paradigms in data engineering and science
Proven experience attracting, hiring, retaining, and leading top engineering talent.
Creative, passionate, and experienced leader of both people and technology
Team Management savvy (eg, planning, budgetary control, people management, vendor management, etc).
Experience with DevOps, reliability engineering, and platform monitoring
we'll versed in AGILE, DevOps and Program Management methods
Bachelors degree with a preference for Computer Science
We back our colleagues and their loved ones with benefits and programs that support their holistic we'll-being. That means we prioritize their physical, financial, and mental health through each stage of life.
Experience with data structures, algorithms, and software design.
Exposure to Data Science including Predictive Modelling.
Develop Algorithms in multilingual conversational systems.
Solve real-world scenarios for user commands and requests by identifying the right LLM models, tooling and frameworks.
Proven experience in developing and working with large language models (GPT-3, BERT, T5, etc) and productionizing them on the cloud.
Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
Proficiency in programming languages such as Python, TensorFlow, PyTorch, and related libraries for model development and deployment.
Demonstrated ability to design, train, fine-tune, and optimize large language models for specific tasks.
Expertise in pre-processing and cleaning large datasets for training models.
Familiarity with data augmentation techniques to enhance model performance.
Knowledge of LLM operations , including evaluating model performance using appropriate metrics and benchmarks.
Ability to iterate and improve models based on evaluation results.
Experience in deploying language models in production environments and integrating them into applications, platforms, or services.
Exposure in building Predictive models using machine learning through all phases of development, from design through training, evaluation, validation, and implementation.
Experience with modern AI/ML NLP Frameworks (eg Tensorflow), Dialogue Managers (egRasa), Search (eg Google Bert, GPT-3), Parsers (eg Dialogflow).
Review architecture and provide technical guidance for engineers
Perform statistical analysis of results and refine models
Experience on various data architectures, latest tools, current and future trends in data engineering space especially Big Data, Streaming and Cloud technologies like GCP, AWS, Azure.
Hands on experience with Big Data technologies (Spark, Kafka, Hive, etc) and have at least 1 Big data implementation on platforms like Cornerstone, Teradata, etc
Experience with Visualization Tools like Tableau, Power BI, etc
Experience with complex, high volume, multi-dimensional data, as we'll as ML/AI models for unstructured, structured, and streaming datasets.
Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks
Exposure in building cloud-native platforms on modern tech stack: AWS, Java, Spring Framework, RESTful API, and container-based application.
Ability to learn new tools and paradigms in data engineering and science
Proven experience attracting, hiring, retaining, and leading top engineering talent.
Creative, passionate, and experienced leader of both people and technology
Team Management savvy (eg, planning, budgetary control, people management, vendor management, etc).
Experience with DevOps, reliability engineering, and platform monitoring
we'll versed in AGILE, DevOps and Program Management methods
Bachelors degree with a preference for Computer Science
We back our colleagues and their loved ones with benefits and programs that support their holistic we'll-being. That means we prioritize their physical, financial, and mental health through each stage of life.
Minimum Qualifications
- 3 years of experience with applying Agile methodologies
- Bachelors degree in computer science, Engineering, Information Systems, or a related STEM field
- 3+ years of experience with Java, microservices, React framework.
- 3 years of experience with applying Agile methodologies
- 1 year of experience with public cloud platform (GCP, AWS) optimization, enabling managed and serverless service.
Preferred Qualifications
- Bachelors degree in computer science, Engineering, Information Systems, or a related STEM field
- 3 + years of experience with Python, microservices, React framework.
- 3+ years of experience with Python, microservices, React framework.
We back our colleagues and their loved ones with benefits and programs that support their holistic we'll-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- Support for financial-we'll-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
Employment Type: Full Time, Permanent
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