Data Engineer-AI,ML
- Posted a month ago
- Over 100 applicants have applied
Job Description
- Responsibilities: Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform. Engage in cutting-edge research and development to enhance the performance and efficiency of generative AI models. Design and maintain machine learning pipelines for training and deploying models, leveraging Azure services such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Services. Collaborate with cross-functional teams to integrate AI capabilities into a wide range of applications, emphasizing Python or .Net development in Azure or AWS. Stay updated with the latest trends and advancements in AI, machine learning, Azure technologies, and Python programming. Analyze complex datasets, employing Azures data processing and analytics capabilities to refine model accuracy and effectiveness. Implement strategies for large-scale data processing and model training in the Azure cloud, using .Net or Python or AWS as the primary programming language. Mentor junior team members in AI, machine learning, Python on Azure or AWS Platform or .Net on Azure platform. Competencies: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. At least 5 years of experience in data science, with a specific focus on AI and machine learning. Demonstrated experience in building and deploying generative AI models, like ChatGPT. Proficient in .Net or Python programming, with a strong background in using Python for machine learning and AI development. Extensive experience with AWS or Azure cloud services. Solid understanding of generative AI principles, natural language processing, and machine learning frameworks like TensorFlow or PyTorch. Experience in handling large datasets and familiarity with big data technologies. Exceptional analytical and problem-solving skills. Strong communication skills and the ability to lead initiatives. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, Orion, we or us) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (Notice) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy.
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About Company
Orion is a leading digital transformation and product development services firm. Headquartered in Edison, NJ, we have a global team of 6400 associates, with engineers in 14 major delivery centres across North America, EMEA, APAC and LATAM. For over 30 years, Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility at scale.​ Our Mission is to be a trusted partner who inspires and accelerates digital innovation. We work with a wide range of clients across many industries including hi-tech, telecom and media, professional services, financial services, healthcare and life sciences, sports and entertainment, and education. Our business has more than tripled over the last three years. ​ We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint.
Skills:
Deep Learning, Neural Networks, Image Processing, Virtual Agents, Design and implement scalable and efficient AI solutions, Chatbots, Natural language processing techniques and tools, AI frameworks and libraries such as TensorFlow or PyTorch
Skills:
Python, machine learning fundamentals, model training, inference pipelines, evaluation pipelines, production-quality code
Skills:
Azure Functions, Python, Azure DevOps, Node.js, C Sharp, Git, RAG systems, deployment automation, Azure Key Vault, App Insights, Azure OpenAI, IaC, Azure AI Foundry, LLM APIs, Azure App Service, cloud-native Azure environments, Azure Resource Groups, Logic Apps, Azure AI Document Intelligence, Azure API Management APIM, CI CD pipelines, Azure Cognitive Search, Azure AI services, Azure Storage Accounts, Responsible AI, Event Grid
Skills:
Data Engineer, AWS, AWS Glue, Etl, Pyspark, Airflow, Llm, Ai
Skills:
Aws Lambda, Apis, Microservices, Nlp, Data Quality, MLops, Docker, Kubernetes, AI ML solutions, AWS Bedrock, vector databases, CI CD, RAG pipelines, machine learning models