Smart Solutions Sr. Engineer

Designation:- Smart Solutions Sr. Engineer

Educational Qualification:- B.Tech / M.Tech/PhD in Electronics, Mechatronics, Computer Science, or Industrial/Mechanical Engineering.

Location:- Pune

Experience:- 4-6yrs of experience in AI/ML and vision system

Job Description:

We are seeking a Smart Solutions Sr. Engineer to design, develop, and deploy AI-driven and vision-based solutions for smart manufacturing. The ideal candidate will combine expertise in machine vision systems, sensor-based monitoring, and AI/ML analytics to enable data-driven decision-making, quality inspection, and process optimization across production lines.

Job Responsibility:

• Develop and deploy smart vision systems for surface defect detection, dimensional measurement, and in-process inspection.
• Design and train AI/ML models for predictive analytics, anomaly detection, and production planning optimization.
• Integrate industrial cameras, sensors, and PLCs into automated inspection or monitoring setups.
• Conduct signal and image processing using OpenCV, Python, or Java for feature extraction and performance enhancement.
• Interface smart systems with MES/SCADA/IIoT platforms via protocols such as OPC UA, MQTT, or Modbus TCP/IP.
• Collaborate with process, quality, and production teams to translate shopfloor challenges into AI-based automation solutions.
• Develop dashboards and analytics tools to visualize process insights.
• Validate and document system performance to ensure compliance with medical device manufacturing standards (e.g., 21 CFR Part 11).
• Support proof-of-concept development and technology evaluation for advanced automation initiatives.

Required Technical Skills:

• Strong hands-on experience in machine vision tools: Industrial Camera, Cognex, Keyence, Basler, or OpenCV-based systems.
• Proficiency in Python, C++, or Java for image/signal processing and AI model development.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Working knowledge of industrial communication protocols (Modbus, MQTT, OPC UA).
• Exposure to sensor integration for smart monitoring systems.
• Knowledge of database management (SQL, InfluxDB) and data handling for training ML models.
• Familiarity with edge computing platforms (PLC, Jetson Nano, or Industrial PCs).

Preferred Skills:

• Experience with deep learning for image classification and segmentation.
• Familiarity with 3D vision, stereo vision, or photometric inspection.
• Experience developing cloud-connected AI systems.
• Basic knowledge of robotic integration for automated inspection or pick-and-place systems.

Behavioral Competencies

• Strong analytical and problem-solving skills.
• Ability to work cross-functionally with production, quality, and IT teams.
• Self-driven, innovative mindset with hands-on execution capability.
• Good communication and presentation skills for reporting and documentation.

Integrity & Corporate Values:

• B - Belief: Belief embodies the profound faith in the mission, vision, values, and capabilities of the organization.
• I - Innovation: Innovation is the ability to think creatively, embrace change, and develop novel solutions to address challenges and meet evolving needs. It involves a mindset of continuous improvement, exploration of new ideas, and the willingness to take calculated risks to drive progress.
• O - Original: Originality refers to the quality of being unique, authentic, and distinctive in ideas, products, and approaches
• R - Respect: Respect entails valuing the dignity, perspectives, and contributions of all individuals, fostering an inclusive and supportive environment. It involves treating others with kindness, fairness, and empathy, regardless of differences in background, status, or opinion.
• A - Agility enhances resilience, responsiveness, and competitiveness, empowering organizations to thrive in uncertain environments.
• D - Dependable: Dependability is the quality of being trustworthy, reliable, and consistent in delivering on commitments and promises.

Authority:

• Develop smart solutions independently as per project requirements.
• Coordinate directly with production, quality, and maintenance teams for data collection.
• Seek approval from the Department Manager for major design or resource changes.