Job Title: Quality Control Trainee Location: Vadodara Experience: 0 1 Year Job Type: Full-time Role Overview We are looking for motivated and detail-oriented Quality Control Trainees to join our team. This entry-level position is ideal for fresh diploma graduates in mechanical or related fields who are eager to gain hands-on experience in quality control and inspection processes within a manufacturing environment. Key Responsibilities Perform visual and dimensional inspections of components using VMM (Video Measuring Machine) and other precision instruments to ensure compliance with quality specifications. Assist in new product development by providing feedback on design improvements, material selections, and quality compliance. Create and maintain accurate documentation for inspection processes, test protocols, and product evaluation reports, ensuring alignment with internal standards and industry regulations. Support Statistical Process Control (SPC) efforts by collecting production data and performing basic trend analysis to monitor quality and process stability. Contribute to process improvement initiatives by identifying quality-related issues and providing data-driven insights. Participate in Measurement System Analysis (MSA) activities to evaluate the accuracy, repeatability, and reproducibility of inspection equipment. Review and interpret engineering drawings, ensuring products meet dimensional and tolerance requirements. Assist in revising or updating technical drawings as part of product changes or improvements. Preferred Candidate Profile Diploma in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or a related discipline. Fresh graduates or candidates with up to 1 year of experience are welcome to apply. Basic understanding of engineering drawings and technical specifications. Familiarity with VMM or other precision measurement tools is a plus (training will be provided if needed). Proficiency in Microsoft Office tools (Excel, Word, etc.) for documentation and reporting. Strong attention to detail, willingness to learn, and ability to work as part of a team. A structured training and onboarding program to develop core QC/QA skills. Exposure to modern manufacturing practices and quality systems. Opportunity to grow into permanent roles in quality assurance, manufacturing, or product development. A collaborative work environment with experienced mentors. Qualification : Diploma in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or a related discipline

Job Title: Quality Operator Location: Vadodara, India Employment Type: Full-Time Job Family: Quality/Testing About Schaeffler Schaeffler is a dynamic global technology company driven by its entrepreneurial spirit and a long history of private ownership. As a trusted partner to leading automotive manufacturers, aerospace companies, and industrial players, Schaeffler offers diverse career development opportunities in an environment that values innovation and collaboration. Key Responsibilities Machine Operation & Inspection Operate Flexi Test Machines and generate G-codes for parts. Inspect parts for burn marks and conduct further analysis as needed. Etching & Burn Analysis Perform etching processes to detect burn marks on components. Metallurgical Testing Conduct metallurgical tests on incoming materials in line with inspection plans and group standards. Chemical Testing Execute chemical testing for incoming materials following defined procedures and standards. Production Support Support production by verifying laser marking depth and assisting with internal complaints and customer complaint investigations. Participate in field failure part analysis related to metallurgical issues. Equipment Verification & Calibration Perform daily plausibility tests for hardness testers and spectrometers. Coordinate and maintain records of calibration activities. Continuous Improvement & Training Take part in improvement projects and training programs to enhance processes and skills. Qualifications Education: Diploma in Engineering (Mechanical/Metallurgy/Materials Science preferred) Experience: Minimum 3 years of experience in a quality testing role in the manufacturing or automotive industry. Skills: Strong analytical and problem-solving abilities. Clear and effective communication skills. At Schaeffler, we believe that diverse ideas and perspectives drive innovation and create a strong foundation for sustainable growth. We encourage collaboration, creativity, and continuous learning, making Schaeffler an exciting place to build your career. Qualification : Diploma in Engineering (Mechanical/Metallurgy/Materials Science preferred)

Job Description We are seeking a skilled Data Scientist with a focus on Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision to join our team. You will be responsible for analyzing business problems and translating them into technical specifications for Data Science projects. With your strong problem-solving abilities, you will leverage cutting-edge technologies in AI, cloud platforms, and generative AI to create solutions that drive business value. This role will require hands-on expertise in Machine Learning model development, AI solution deployment, and the Data Science lifecycle. Key Responsibilities Design and Development of Machine Learning Pipelines: Build and implement end-to-end ML production pipelines including data exploration, sampling, feature engineering, model building, and performance evaluation. Experience in predictive analytics and statistical modeling. Development of AI Solutions: Lead the design and development of AI and Data Science projects, including Generative AI applications using open-source LLMs and cloud platforms. Implement and optimize AI models such as Logistic Regression, SVMs, Decision Trees, CNNs, and clustering algorithms. Integration and Deployment: Design and develop API-based applications for AI and Data Science projects. Ensure effective deployment and integration into DevOps pipelines. Collaboration and Cross-functional Coordination: Work closely with internal teams and stakeholders to understand business requirements and translate them into technical specifications for AI solutions. Collaborate with cross-functional teams to ensure successful project execution. Research & Continuous Improvement: Stay updated with the latest developments in Generative AI, LLMs, and emerging AI models. Continuously improve the performance of models and pipelines based on business feedback and performance metrics. Required Skills and Qualifications Education: B-Tech/BE in Computer Science, IT, MCA, or MSc in Computer Science with relevant certifications. Technical Expertise: Programming: Strong hands-on experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, and NLP frameworks. Machine Learning Models: Proven experience in designing and developing Machine Learning models for at least 3 AI/Data Science projects. Generative AI: Experience in the design and development of Generative AI applications, especially using open-source LLMs like OpenAI, Llama, and Mistral AI. Cloud Platforms: Hands-on experience with cloud platforms and deploying AI models in the cloud. Data Engineering: Strong understanding of data engineering lifecycle, including data pipelines, data lakes, and data warehouses. Desirable Skills: Familiarity with containerization and orchestration tools like Docker and Kubernetes. Experience with Databricks, Azure Data Platform, and configuration management tools is a plus. Understanding of DevOps pipelines for model deployment. Exposure to LLM integration and development. Experience 3+ years of experience in Machine Learning Model development within Data Science/AI Projects. Prior experience with Generative AI solutions and integration of LLMs for business/automation needs is highly desirable. Soft Skills & Competencies Research Orientation: Passion for exploring new technologies and methodologies. Clear Communication: Ability to explain complex technical concepts to non-technical stakeholders. Collaboration: Strong team player with an ability to work with cross-functional teams. Solution Orientation: Ability to devise actionable solutions to complex problems. Adaptability: Comfortable working in a fast-paced, evolving environment. Analytical Thinking: Strong problem-solving abilities and keen attention to detail. Customer-Centric Mindset: A focus on delivering value to clients and ensuring satisfaction. Why Join Us? Work on cutting-edge AI technologies, including Generative AI and LLMs. Collaborate with experts in Machine Learning, NLP, and Computer Vision. Opportunity to work on high-impact projects for global businesses. Focus on continuous learning and professional growth.