DevOps Engineer, AI

Overview

We are in search of a DevOps Engineer with a specialization in Azure AI Studio, Azure Open AI, Microsoft Copilots, AI and ML methodologies, and AWS Bedrock. In this role, you will be the guiding force behind our AI initiatives, providing expertise and leadership to all users across the organization who have AI use cases. Your focus will be on architecting, developing, and implementing advanced AI solutions while ensuring alignment with best practices and business objectives.

Responsibilities

• Responsible for maintaining the tools and processes for a large, enterprise level system in a fast-paced, agile, service-oriented environment. 
• Good understanding of the full stack software development (databases, services, REST, client-side, user interface). 
• Scale infrastructure to meet rapidly increasing demand. Monitor site stability and performance and troubleshoot site issues. 
• Build and maintain a resilient, secure, and efficient SaaS application platform to meet established SLAs. 
• Provide support to development teams that use the automated infrastructure. Collaborate with developers to bring new features and services into production. 
• Support Engineering automation efforts with development and scripting skills 
• Automate operational processes using code. 
• Emphasize automation, implement processes, procedures, and best practice guidelines for code management. 
• Manage cross-functional requirements working with Engineering, Product, Services, and other departments. 
• Drive technical designs to consensus and approval. 
• Guide teams with DevOps best practices, including improved scalability, performance, reliability, and speed to market. 
• Document and diagram workflows and environments and communicate changed both verbally and in writing. 
• Interface with leadership, Group Leads, and Lead Architects to convey infrastructure requirements, plan, and schedule deployment of tasks, and resolve any issues that impact deployment of the Application delivery systems.  
• Implement and optimize AI algorithms and models.Collaborate with cross-functional teams to understand business requirements and design effective AI solutions.
• Integrate AI technologies, such as Cognitive Services, into our platform.
• Stay up to date with the latest advancements in AI and ML and propose innovative solutions.
• Ensure the scalability, reliability, and performance of the AI platform.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 2 years of experience in AI and ML development.
• Knowledge of basic Java/Python deployment constructs. 
• Experience with cloud computing and container solutions such as Amazon EC2, Docker. 
• Experience with managing code repositories and best practices as it relates to DevOps. 
• Experience with scripting languages (Perl, Python) to develop automation tools. 
• Experience developing applications embracing Agile principles. 
• Strong understanding of software project release automation. 
• Professional with ability to properly handle confidential information. 
• Excellent written and verbal communication skills. 
• Ability to learn and quickly absorb new material, Strong troubleshooting skills. 
• Excellent verbal and written communication skills 
• Strong organizational skills and adaptive capacity for rapidly changing priorities and workloads 
• Ability to work well independently and maintain focus in a highly dynamic work environment. 
• Comfort in working with team members that are remote and located in the US, India or other geographies 
• Ability to work within a matrix organization 
• Proficiency in Azure AI Studio, Cognitive Services, Azure, AWS, AWS Bedrock, and Sage Maker.
• Strong programming skills in languages such as Python, Java, or C++.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with deep learning frameworks like TensorFlow or PyTorch.
• Experience with RAG (Retrieve, Analyze, Generate) models is a plus.
• Familiarity with developing custom AI models and algorithms.
• Knowledge of LLama (Language Learning and Multilingual Applications) custom development is highly desired.
• Experience with natural language processing (NLP) and text analytics.
• Understanding of cloud-based AI services and platforms.
• Strong understanding of machine learning techniques and frameworks.
• Proven track record of successfully delivering AI projects.
• Knowledge of data engineering and data visualization techniques.
• Familiarity with DevOps practices for AI/ML deployments.

Physical Requirements and Working Conditions:

• Remaining in a stationary position, often standing or sitting for prolonged periods.

• Repeating motions that may include the wrists, hands and/or fingers.

• Must be able to provide a dedicated, secure work area.

• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.

Mental Requirements:

• Strong problem-solving and analytical skills.

• Excellent communication and teamwork abilities.

• Ability to design and implement scalable and efficient AI solutions.

• Ability to work independently and collaborate effectively with team member.

Base compensation ranges from $85,000 to $119,000. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 7/2/2024

Applications are assessed on a rolling basis. We anticipate that the application window will close on 9/2/2024, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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