Mlops Architect

**Join Us as MLOps Architect**
Are you ready to make a significant impact in an innovative environment? At ORBCOMM, we are looking for a skilled **MLOps Architect** to design and implement the technology architecture that enables deployment, scaling, and management of Generative AI and machine learning models. In this role, you’ll accelerate the journey from experimentation to production—ensuring our AI solutions are robust, maintainable, and secure.

**Why You’ll Love Working Here**:
As a key member of our team, you’ll be at the forefront of innovation in IoT, working on next-generation AI and ML technologies that power real-world outcomes. You’ll collaborate with a cross-functional team—engineering, data science, IT, and products to turn research into production systems that drive business value. You’ll be empowered to establish standards, mentor teams, and build solutions that scale globally.

With a flexible hybrid working schedule, you'll enjoy the best of both worlds—engaging in-person collaboration at our Hyderabad, India office while also benefiting from the autonomy of remote work.

**What You’ll Do**:

- Architect and design end-to-end infrastructure and reference architectures for deploying GenAI and ML models into production environments.
- Define best practices for packaging, APIs, containerization, and Infrastructure-as-Code (IaC) patterns to enable modular and reusable deployment frameworks.
- Design and build pipelines for model training, validation, deployment, rollback, and monitoring.
- Support both batch and real-time inference workloads, optimizing for cost, performance, and reliability.
- Establish monitoring, alerting, and drift detection mechanisms to maintain model health and detect anomalies.
- Automate workflows through CI/CD and continuous training pipelines, versioning, and automated testing of models.
- Collaborate with data scientists, product, and IT teams to integrate models and iterate on production insights.
- Optimize infrastructure for reliability, GPU/TPU utilization, and cost efficiency.
- Ensure governance, compliance, and responsible AI practices, including model version control, security, bias mitigation, and regulatory standards..

**Who You Are**:
You’re a detail-oriented professional with a talent for ensuring accuracy and managing multiple priorities. If you have:

- You hold a bachelor’s degree (or equivalent experience) in Computer Science, Engineering, or a related field.
- You bring 7+ years of experience in software engineering, DevOps, or cloud infrastructure, with at least 3 years focused on AI/ML deployment.
- Hands-on expertise in one or more cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes).
- Proficiency with MLOps frameworks and tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks.
- Strong coding skills (Python preferred) and familiarity with APIs, CI/CD, data pipelines, and automation.
- Solid understanding of Generative AI, large language models (LLMs), embeddings, and vector databases (or a willingness to learn quickly).

**Preferred Qualifications**:

- Master’s degree in Computer Science, Data Engineering, or a related area.
- Knowledge of model drift detection, bias mitigation techniques, and frameworks for Responsible AI.
- Experience working in regulated or security-sensitive environments is a plus.

Then we want to meet you

**About Us**:
**Ready to Join Us?**

We believe that our people are our greatest asset. Your skills and passion can help us achieve remarkable things If you’re seeking a thrilling career opportunity in a vibrant, growth-oriented environment, ORBCOMM is the perfect fit for you.

At ORBCOMM, we are also dedicated to ensuring accessibility and are pleased to offer accommodations for individuals with disabilities upon request throughout all aspects