Arkhya Tech. Inc. ยท 6 hours ago
Machine Learning Engineer
Arkhya Tech. Inc. is seeking an MLOPS Engineer to develop and maintain ML pipelines and automate model training and deployment. The role involves collaborating with engineering teams and ensuring compliance with model governance frameworks.
Responsibilities
Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI
Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure)
Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining
Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
Qualification
Required
10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
Experience with cloud platforms and containerization (Docker, Kubernetes)
Hands on experience delivering 3-4 end to end Production projects
Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks
Solid understanding of software engineering principles and DevOps practices
Good communication skills and able to manage stakeholders
Company
Arkhya Tech. Inc.
Arkhya Technologies, Inc.
H1B Sponsorship
Arkhya Tech. Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (1)
2020 (5)
Funding
Current Stage
Growth StageCompany data provided by crunchbase