Lead MLOps Engineer

About GSPANN
Headquartered in Milpitas, California (U.S.A.), GSPANN provides consulting and IT services to global clients, ranging from mid-size to Fortune 500 companies. With our experience in retail, high-technology, and manufacturing, we help our clients to transform and deliver business value by optimizing their IT capabilities, practices, and operations. Counting on our ten offices, including four global delivery centers, and approximately 1400 employees globally, we offer the intimacy of a boutique consultancy with capabilities of a large IT services firm.

AI Operations (AI Ops) Engineer
Location-Fremont, CA / Remote
Job Type-Long Term

Required Skills & Qualifications:
Experience: 8-10 years of experience in software development, with a focus on AI/ML operations, cloud infrastructure, and DevOps practices.
Python: Advanced proficiency in Python, including experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas.
APIs: Strong experience in designing, developing, and maintaining RESTful APIs for AI/ML model deployment and integration.
ML Ops: In-depth understanding of Machine Learning Operations, including model versioning, monitoring, deployment, and automation of ML workflows.
LLM Concepts: Familiarity with Large Language Models (LLMs), including experience working with transformer-based models such as GPT, BERT, or T5.
Azure Cloud: Hands-on experience with Azure Cloud services (Azure ML, Azure DevOps, Azure Functions, etc.) and cloud infrastructure management.
DevOps & CI/CD: Proficient in setting up CI/CD pipelines for AI/ML models and using tools like Jenkins, GitLab, or Azure DevOps for automation.
Data Management & Tools: Experience working with data storage and processing tools like Azure Blob Storage, Azure SQL Database, Kafka, or similar.
Version Control: Expertise with Git and version control best practices for collaborative development of AI systems.
Problem Solving: Strong analytical and troubleshooting skills, with the ability to identify root causes and optimize AI/ML models and systems.
Communication & Collaboration: Excellent communication skills and the ability to work effectively in a cross-functional team environment.

Preferred Skills:
Cloud Certifications: Azure certifications such as Azure Solutions Architect, Azure AI Engineer, or Azure DevOps Engineer.
Security & Compliance: Understanding of security best practices in AI model deployment and experience with secure handling of sensitive data in the cloud.
Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) and integration with AI/ML pipelines.
Agile Methodologies: Experience working in Agile teams, with knowledge of Scrum, Kanban, or similar frameworks.
Education:
A Bachelor's or Master s degree in Computer Science, Engineering, Data Science, or a related field is preferred.

Working at GSPANN GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry. The company does and will take an affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans, and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disability.