Description
- Responsibilities
- Apply data science and statistical methods to solve complex engineering problems and enhance simulation, design, and manufacturing workflows.
- Develop Python-based tools for simulation automation, pre/post-processing, and reporting.
- Design and implement dashboards and data visualization tools to support decision-making.
- Implement intelligent algorithms for pattern recognition and anomaly detection.
- Design and execute DoEs for both virtual simulations and physical testing scenarios.
- Leverage LLMs, autonomous agents, and generative AI tools in engineering context.
- Support digital transformation initiatives through AI/ML integration.
- Collaborate with cross-functional teams (design, manufacturing, testing).
- Mentor junior engineers and contribute to technical presentations and knowledge sharing.
- Drive continuous improvement in engineering processes.
- Preferred Experience
- B.Tech or master's in mechanical engineering, data science, computer science or related field.
- Strong understanding of FEA and knowledge of comprehensive structural, thermal, dynamic, and multi-physics simulations.
- Knowledge on CAE tools like ANSYS, LS-DYNA & Altair Hyperworks, with an understanding of their application in nonlinear plastics simulations.
- Strong foundation in applied statistics, data analytics, and both supervised and unsupervised learning techniques.
- Foundation in engineering mechanics, materials science, and thermodynamics, knowledge of FEA tools (Ansys/LS-Dyna/Altair) is a strong asset.
- 5 years of experience in data science and CAE , preferably in the automotive industry.
- Proficiency in Python and experience with ML libraries. Experience with cloud platforms (Azure, AWS) containerization (Docker) and web frameworks (Flask, Django).
- Familiarity with DevOps practices, version control systems (Git), MLOps environments (e.g Azure ML).
- Experience with data visualization tools (e.g. Matplotlib, Plotly, PyVista)
- Experience with building and scaling analytics solutions on cloud-based platforms
- Experience working with real-world sensor data, knowledge of signal processing techniques
- Knowledge of prompt engineering and deployment of GenAI agents
- Fluency in English; willingness to travel occasionally (domestic and international).
- Competencies
- Strong analytical and problem-solving skills.
- Ability to handle complex, multidisciplinary engineering challenges.
- Innovative mindset for developing creative solutions.
- Clear communication of technical concepts to diverse audiences.
- Strong presentation and mentoring skills.
- Passion for continuous learning and technology adoption.
- Flexibility in dynamic project environments.
- Proactive in process improvement and innovation.
- Ability to bridge simulation, testing, and AI workflows
- Strong understanding of validation strategies and test-to-simulation alignment
Qualifications
- B.Tech or master's in mechanical engineering, data science, computer science or related field.
Recruiting Company: Kautex
Primary Location: India-Bangalore-Mylasandra
Job Function: Engineering
Schedule: Full-time
Job Level: Individual Contributor
Job Type: Experienced
Shift: First Shift
Relocation: Available
Job Posting: 03/17/2026, 1:57:40 AM
Job Number: 335143
