Sales - Machine Learning Engineer, AIOps
Sales - Machine Learning Engineer, AIOps
Posted on :
24-08-2025
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1 Vacancy
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Job Description
In this role you will focus on the following key areas: Model Management: Oversee the deployment maintenance and scaling of LLM and services within our consumer-facing products. CI/CD: Build and maintain CI/CD pipelines to automate model train/test/deployment and scaling. Collaborative Integration: Partner with product developers UX designers and data scientists to ensure a seamless and intuitive integration of language models into our products. Continuous Monitoring: Build Dashboard and Regularly track model performance ensuring consistent accuracy and reliability for consumers. Set up alerts and manage the type of monitoring needed. Feedback Integration: Develop strategies for collecting user feedback and refining the model for better alignment with consumer needs. Bias Mitigation: Proactively address and reduce potential biases in model predictions ensuring our products are inclusive and fair. Infrastructure Management: Design and implement efficient data pipelines to support large language model training and inference Documentation: Maintain comprehensive documentation covering model versions deployment protocols and performance metrics. Research & Development: Stay updated with the latest trends in large language models and MLOps ensuring our consumer products remain at the forefront of innovation.
- M.S. in related field with 3 years experience applying AIOps machine learning engineer to real business problems.
- Language Model Expertise: Demonstrated experience working with large language models such as OpenAIs GPT series or similar.
- MLOps Skills: Solid background in Automating ML pipeline including the training testing deployment monitoring and scaling of AI models.
- Technical Toolkit: Proficiency in PyTorch TensorFlow Transformers Kubernetes Docker LangChain vectorDB and cloud platforms like AWS GCP or Azure and Monitoring tool like Grafana and CI/CD like airflow gitlab and Big Data management like Spark Kafka.
- Product-Centric Mindset: Proven track record of integrating AI models into consumer products enhancing functionality and user experience.
- Communication Prowess: Excellent communication skills with the ability to liaise between technical and non-technical teams.
- Collaborative Spirit: Experience in cross-functional teams ensuring seamless product development.
Employment Type
Full Time
Key Skills
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