Engineer II - CAE, AI & Pred. Quality at Textron

Mailasandra, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Methods, Python, Simulation Automation, Data Visualization, Machine Learning, FEA Tools, Applied Statistics, Cloud Platforms, Signal Processing, DevOps Practices, Mentoring, Continuous Improvement, Pattern Recognition, Anomaly Detection, Generative AI

Industry

Motor Vehicle Manufacturing

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. 2. 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). 3. 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 B.Tech or master’s in mechanical engineering, data science, computer science or related field.

Responsibilities

The Engineer II will apply data science and statistical methods to solve complex engineering problems and enhance workflows. They will develop Python-based tools for simulation automation and implement intelligent algorithms for pattern recognition and anomaly detection.