InterSources
Azure ML/AI Architect
InterSources, Santa Clara, California, us, 95053
Hi,
Please provide me suitable resumes for below position.
Title: Azure ML Architect with experience on Data Bricks Development platform
Location: Santa Clara, CA - onsite
Duration: Long term
Need Data science candidate with Data bricks and azure
Prior Experience
Hands on experience on working in Azure cloud platformExperience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks ML platform.Understanding of implementation of architecture within Azure Big Data Analytics Al tools.Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.Good to have Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.Have good experience configuring Microservices using Docker, Kubernetes on Azure Data BricksExtensive Experience on working on Azure AI services including Data Bricks and Azure cognitive servicesExperience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.Well-versed in software development and code quality best industry practices.Experience working with Agile Development methodologies.Responsibilities:
Primary responsibility is to Architect, design and develop AI application on Azure cloud and Databricks.Lead the azure cloud architecture design for various applications depending on business requirementsHands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.Work with business users to translate functional requirements into data specificationsCollaborate with data scientists and business users to transform domain know-how into functional requirements.Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning.Collaboration and Communication:
Collaborate effectively with cross-functional teams, including researchers, DevOps architects/engineers and project managers.Documentation and Knowledge Sharing: Document code, algorithms, and processes to ensure effective knowledge transfer and maintain codebase quality.Requirements:
B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master's in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.4-6 years of IT experience with a min of 3+ years in Azure Data Bricks for development and Azure Services.Strong Expertise in the Azure cloud solutions.Strong programming skills in Python.Familiarity with statistical, ML and DL techniques and modelsHands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.Experience with ML / DL frameworks (e.g., Sklearn, TensorFlow, PyTorch) is needed.Experience with large-scale data processing, including data collection, cleaning, and preprocessing.Proficiency in working with UNIX/Linux environments and command-line tools.Strong analytical and problem-solving abilities.Excellent communication skills, interpersonal, written, visual (presentations), and verbal.
Certifications
Databricks - Machine learning professional (highly preferred)About Us:InterSources Inc , a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering
Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services,
etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a
Google Cloud partner
company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.
Please provide me suitable resumes for below position.
Title: Azure ML Architect with experience on Data Bricks Development platform
Location: Santa Clara, CA - onsite
Duration: Long term
Need Data science candidate with Data bricks and azure
Prior Experience
Hands on experience on working in Azure cloud platformExperience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks ML platform.Understanding of implementation of architecture within Azure Big Data Analytics Al tools.Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.Good to have Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.Have good experience configuring Microservices using Docker, Kubernetes on Azure Data BricksExtensive Experience on working on Azure AI services including Data Bricks and Azure cognitive servicesExperience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.Well-versed in software development and code quality best industry practices.Experience working with Agile Development methodologies.Responsibilities:
Primary responsibility is to Architect, design and develop AI application on Azure cloud and Databricks.Lead the azure cloud architecture design for various applications depending on business requirementsHands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.Work with business users to translate functional requirements into data specificationsCollaborate with data scientists and business users to transform domain know-how into functional requirements.Model Training and Evaluation: Train and fine-tune language models using appropriate machine-learning frameworks and tools.Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning.Collaboration and Communication:
Collaborate effectively with cross-functional teams, including researchers, DevOps architects/engineers and project managers.Documentation and Knowledge Sharing: Document code, algorithms, and processes to ensure effective knowledge transfer and maintain codebase quality.Requirements:
B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master's in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.4-6 years of IT experience with a min of 3+ years in Azure Data Bricks for development and Azure Services.Strong Expertise in the Azure cloud solutions.Strong programming skills in Python.Familiarity with statistical, ML and DL techniques and modelsHands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.Experience with ML / DL frameworks (e.g., Sklearn, TensorFlow, PyTorch) is needed.Experience with large-scale data processing, including data collection, cleaning, and preprocessing.Proficiency in working with UNIX/Linux environments and command-line tools.Strong analytical and problem-solving abilities.Excellent communication skills, interpersonal, written, visual (presentations), and verbal.
Certifications
Databricks - Machine learning professional (highly preferred)About Us:InterSources Inc , a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering
Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services,
etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a
Google Cloud partner
company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.