Machine Translation Engineer Jobs in California (NOW HIRING)

Job Summary:
InterSources Inc is a Certified Diverse Supplier offering innovative solutions for Digital Transformations across various domains. They are seeking an Azure ML Architect who will be responsible for architecting, designing, and developing AI applications on the Azure cloud, while leading the architecture design for various applications based on business requirements.
Responsibilities:
• Your primary responsibility is to Architect, design and develop AI application on Azure cloud. Lead the azure cloud architecture design for various applications depending on business requirements.
• Prototypes and do proof of concepts (PoC) in one or all the following areas:
• LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
• Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
• You will work with a team of researchers and engineers to build state-of-the-art language models that can understand and generate human-like text.
• Work with business users to translate functional requirements into data specifications Collaborate with data scientists and business users to transform domain know-how into functional requirements.
• Collect and preprocess large-scale text corpora to train and fine-tune language models.
• Conduct data analysis to identify patterns, trends, and insights that can inform model development and improvement.
• Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications, and collaborate with the research team to design and develop state-of-the-art language models.
• Train and fine-tune language models using appropriate machine-learning frameworks and tools.
• Stay up to date with the latest advancements in the field of natural language processing and machine learning.
• Collaborate effectively with cross-functional teams, including researchers, DevOps architects/engineers and project managers.
• Communicate complex ideas and technical concepts clearly to stakeholders and team members supported by Large Language Model (LLM) technology.
• Document code, algorithms, and processes to ensure effective knowledge transfer and maintain codebase quality.
Qualifications:
Required:
• Client Architect with Experience on Data Bricks Development
• Azure Data factory, Azure Databricks, Azure Datalake
• Have good experience configuring Microservices using Docker, Kubernetes on Azure Data
• Prior Experience Hands on experience on working in Azure cloud platform.
• Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks Client 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.
• 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 Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client.
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Experience 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.
• 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 Data Science (AI/Client) with a specialization in NLP and Azure Data Bricks for development and Azure Services.
• Strong Expertise in the Azure cloud solutions.
• Strong programming skills in Python.
• Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine translation.
• Familiarity with statistical and machine learning approaches, such as neural networks, recurrent neural networks (RNN), and transformer models.
• 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.
Preferred:
• Domain Experience (If any) – Data science
• Highly preferred experience on working with Azure OpenAI services.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is highly desirable.
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.