Intelligent Systems Engineer
1 week ago
We are seeking a skilled AI/ML engineer to join our team and contribute to the development of intelligent AI agents tailored for the manufacturing and automotive sectors.
You will play a key role in building robust, scalable, and intelligent AI agentic products that redefine how complex engineering and requirements workflows are solved.
Required Skills and Qualifications- 3+ years of experience in ML/AI engineering with shipped products.
- Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong software engineering practices: version control, testing, documentation.
- Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques.
- Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP).
- Experience working with large datasets, data wrangling, and scalable data pipelines (Apache Spark, Kafka, Ray, Dask, etc.).
- Good understanding of microservices, distributed systems, and model performance optimization.
- Attractive Compensation
- Work on impactful AI products solving real industrial challenges.
- A collaborative, agile, and supportive team culture.
- Flexible work hours and location (hybrid/remote).
- Opportunities to lead, learn, and shape the AI roadmap.
- Design, build, and optimize ML models for intelligent requirement understanding and automation.
- Develop scalable, production-grade AI pipelines and APIs.
- Owning the deployment lifecycle, including model serving, monitoring, and continuous delivery.
- Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability.
- Work on large-scale data processing and real-time pipelines.
- Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
- Analyze and improve the efficiency and scalability of ML systems in production.
- Stay current with the latest AI/ML research and translate innovations into product enhancements.
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