7 Product Classification Jobs nearby Kochi

Role Overview: As the QC Head, you will be responsible for leading the Quality Control function in medical device manufacturing to ensure that products meet global regulatory, safety, and performance standards. Your role will involve overseeing raw material testing, in-process quality checks, stability studies, validation protocols, and final product release in compliance with applicable regulatory guidelines. Key Responsibilities: - Establish, implement, and maintain QC protocols, SOPs, testing procedures, and specifications. - Ensure batch-wise testing, documentation, and release of raw materials, intermediates, and finished products. - Oversee microbiological and biochemical testing for sterile and non-sterile medical devices. - Conduct periodic trending of QC results and take corrective actions. - Ensure compliance with ISO 13485:2016, ISO 14971 (Risk Management), EU CE, and CDSCO norms. - Prepare documentation for audits, regulatory submissions, CAPA, NCR investigations, SCAR, change control, and traceability. - Manage QC laboratory infrastructure, calibration, and validation of analytical instruments. - Lead sterility assurance, endotoxin testing, and environmental monitoring in cleanroom and production areas. - Design and monitor stability studies for product shelf-life determination. - Train and guide QC managers, executives, analysts, and technicians. - Coordinate with R&D, QA, Production, Validation, and Regulatory Affairs. - Implement quality improvement initiatives using Lean / Six Sigma methodologies. - Support and lead investigations for deviations, OOS (Out-of-Specification) results, and customer complaints. Qualification Required: - Strong knowledge in microbiology, biocompatibility, plasma/chemical additives, or IVD reagent chemistry. - Hands-on experience with laboratory QC instrumentation (HPLC, UV-Vis, autoclave validation, endotoxin analyzers, etc.). - Sound understanding of sterile manufacturing, cleanroom classifications, and aseptic techniques. - Ability to interpret regulatory and audit requirements. - Strong leadership, communication, and documentation skills. Additional Details: No additional details of the company are mentioned in the job description.,

Role Overview: As a Senior Electrical Engineer in the marine industry, you will be responsible for project management and research and development efforts. Your role will involve meticulous planning, resource management, and risk assessment to ensure the successful execution of multiple projects. You will collaborate with various departments and stakeholders to control project timelines, document progress, and maintain strong client relations. Additionally, you will lead research and development initiatives to identify challenges and innovations in marine electrical systems, contributing to project optimization and technological advancement. Key Responsibilities: - Monitor technical community platforms for marine industry developments and identify opportunities for innovation using design thinking methodologies. - Participate in research and development efforts to translate innovations into indigenous marine products while staying informed of industry advancements. - Supervise the design, estimation, and installation of marine electrical systems, including developing customized products for installations. - Monitor and analyze real-time data from installations, ensuring product quality through inspections and adherence to standards. - Conduct feasibility studies, allocate resources, and manage project priorities based on viability assessments. - Provide technical support for troubleshooting issues, collaborating with cross-functional teams to resolve project impediments. - Liaise with statutory/classification societies for inspection and testing requirements and evaluate technical drawings for project feasibility. - Develop project schedules, contribute to yard development, and oversee subcontractor management to ensure project progress. - Properly document project-related certificates and inspection reports, implementing standardized processes for construction activities. - Introduce innovative materials and processes to enhance production efficiency. - Design the system for prototype (Alpha, Beta, and pilot) development and testing. Qualifications: - Masters degree in Electrical Engineering or related field. - Minimum of 5 years of experience in electrical engineering roles within the marine industry. - Proven track record of project management, including leading teams and managing multiple projects simultaneously. - Experience in research and development, with a focus on translating innovations into practical marine products. - Strong understanding of marine electrical systems design, estimation, and installation. - Familiarity with real-time data monitoring and analysis techniques. - Experience in troubleshooting electrical issues and collaborating with cross-functional teams for solutions. - Understanding of construction processes and materials used in marine environments. - Excellent communication skills, both verbal and written, with the ability to effectively liaise with stakeholders, clients, and regulatory bodies. - Strong leadership abilities to supervise and mentor junior engineers, as well as collaborate with cross-functional teams.,

As a part of the Zeego.parts team, your role will involve the following responsibilities: - **Product Data and Technical Validation:** - Review and verify technical specifications, dimensions, and compatibility of vehicle spare parts before listing. - Develop and maintain a standardized database for parts classification using OEM references and engineering drawings. - Cross-check supplier-provided data for engineering accuracy and compliance. - **Supplier Coordination:** - Liaise with manufacturers and distributors to obtain accurate engineering documentation (CAD models, material data sheets, test results). - Evaluate suppliers based on product quality, technical standards, and certification compliance (ISO, SAE, etc.). - **Quality Assurance:** - Implement quality control protocols for incoming and shipped products. - Identify potential product defects and work with vendors to resolve technical issues. - Establish testing criteria for high-demand components such as suspension parts, filters, or brake systems. - **Platform & Process Optimization:** - Support software and data teams by providing technical mappings (part numbers, cross-reference compatibility). - Suggest improvements for the cataloguing and filtering system to enhance user experience and product accuracy. - Provide engineering input for AI-driven recommendation and inventory systems. - **Customer Support & After-Sales Assistance:** - Provide technical assistance to customer support teams for part-fitment queries or returns. - Analyze customer feedback and warranty claims to identify recurring mechanical or compatibility issues. **Qualifications:** - Strong knowledge in Automotive Engineering and Automotive systems, with hands-on expertise in vehicle components and systems. - Relevant educational background, such as a degree in Automotive Engineering, Mechanical Engineering, or a related field. - Problem-solving mindset and keen attention to detail. - Experience in the commercial vehicle or heavy equipment sector is an advantage. - Proficiency in engineering design tools and software is a plus.,

As a Tech & AI Lead Associate Director at EY, you will have the opportunity to work in a small, agile analytics team within Global Finance, serving teams across EY. Your main responsibility will be to identify and implement opportunities to leverage AI to provide actionable insights across the firm. You will lead projects that offer innovative, data-driven perspectives on key business questions, ultimately guiding how investments are made across the business. Your key responsibilities will include: - Ensuring that the analytics team makes optimal use of the latest GenAI models and technologies - Reviewing the tech stack, architecture, and models to propose alternatives for better effectiveness - Leading projects such as the GenAI Insight Portal, integration of GenAI functionality in existing products, designing communication systems, and automating processes and analysis - Gathering requirements from key stakeholders, developing innovative solutions, leading global project teams, and providing technical direction to ensure high-quality outputs To qualify for this role, you must have: - A strong academic record with a PhD or Masters degree in Machine Learning & AI - Leading knowledge and experience in applying emerging GenAI models & tech - Demonstrable experience in relevant technical roles, including data insight/analytics roles - Extensive experience across the software development life cycle, using Python and SQL for data manipulation, and good understanding of database design - Experience in decision-making models, data storytelling, and working directly with stakeholders - Exceptional attention to detail, ability to prioritize, and experience leading projects efficiently Ideally, you will also have: - Experience in automation, data visualization applications, statistical modeling, and agile environments - Knowledge of statistical and analytical methods, handling missing data, building interactive dashboards, and working with strategy functions Working at EY offers a competitive remuneration package, flexible working arrangements, career development opportunities, coaching and feedback, and the freedom to handle your role in a way that suits you. EY aims to build a better working world by providing long-term value for clients, people, and society through diverse teams in over 150 countries. As a Tech & AI Lead Associate Director at EY, you will have the opportunity to work in a small, agile analytics team within Global Finance, serving teams across EY. Your main responsibility will be to identify and implement opportunities to leverage AI to provide actionable insights across the firm. You will lead projects that offer innovative, data-driven perspectives on key business questions, ultimately guiding how investments are made across the business. Your key responsibilities will include: - Ensuring that the analytics team makes optimal use of the latest GenAI models and technologies - Reviewing the tech stack, architecture, and models to propose alternatives for better effectiveness - Leading projects such as the GenAI Insight Portal, integration of GenAI functionality in existing products, designing communication systems, and automating processes and analysis - Gathering requirements from key stakeholders, developing innovative solutions, leading global project teams, and providing technical direction to ensure high-quality outputs To qualify for this role, you must have: - A strong academic record with a PhD or Masters degree in Machine Learning & AI - Leading knowledge and experience in applying emerging GenAI models & tech - Demonstrable experience in relevant technical roles, including data insight/analytics roles - Extensive experience across the software development life cycle, using Python and SQL for data manipulation, and good understanding of database design - Experience in decision-making models, data storytelling, and working directly with stakeholders - Exceptional attention to detail, ability to prioritize, and experience leading projects efficiently Ideally, you will also have: - Experience in automation, data visualization applications, statistical modeling, and agile environments - Knowledge of statistical and analytical methods, handling missing data, building interactive dashboards, and working with strategy functions Working at EY offers a competitive remuneration package, flexible working arrangements, career development opportunities, coaching and feedback, and the freedom to handle your role in a way that suits you. EY aims to build a better working world by providing long-term value for clients, people, and society through diverse teams in over 150 countries.

As a Senior Technical Officer at International Register of Shipping (INTLREG), your role will involve research and development activities to ensure the appropriate development of new services, as well as the development and updating of classification rules for ships and offshore structures. Key Responsibilities: - Coordinate experience gained through design appraisal, plan approval of ships/offshore vessels, and related surveys, inspections, and audits. - Participate in plan appraisal and engineering analysis of vessels and offshore structures as needed with the Technical Appraisal Department. - Stay familiar with maritime regulations developed by international organizations such as IMO, ILO, and standards by IACS, ISO, IEC, AWS, NACE, etc. Monitor new international regulations from IMO and ensure their inclusion into INTLREG rules. - Contribute to the development of new rules for the classification of steel vessels, including Goal-Based Ship Construction standards (GBS) of IMO for Bulk Carriers and Oil Tankers. - Update and maintain classification rules, guidance, and survey procedures for use by technical departments, surveyors, and other stakeholders involved in shipbuilding, modifications, or conversions. - Support in Technical Publications, publication of incidents, statistical analysis of trends, and the development of new products and services for INTLREG or affiliates. - Monitor various projects related to rule development or engineering services assigned to R&D and act as Project Manager. - Supervise other staff in the Project team/R&D and monitor project progress as required. - Coordinate with Technical Appraisal Department or other departments related to classification/statutory services to ensure compliance with INTLREG Classification Rules, IMO regulations, and Flag administration. Qualifications: - Bachelor's or Master's degree in Naval Architecture or Ship Building branches. - Knowledge of Class and Statutory surveys, Maritime Audits, maritime conventions, regulations, and familiarity with Ship Classification Rules, IMO Codes, and conventions such as SOLAS, MARPOL, ISM, ISPS, MLC, IMSBC, IMDG, IGC, IBC, and other maritime technical codes. - Desirable qualification: ISO 9001:2015 Lead Auditor. - Strong analytical, written, and verbal communication skills in English. Desired Experience: - Minimum 8-10 years experience as a surveyor/specialist/design appraisal engineer in a Classification Society. - Experience in handling classification and statutory compliance of Seagoing/Offshore vessels or Offshore Structures. - Experience in leading design companies involved in new building and conversion of ships and offshore structures. Desired Skills: - Familiarity with Classification Rules, IMO Codes/conventions, and regulations. - Knowledge of ship-classification/certification processes for ships in service and new building of merchant ships. - Strong analytical, written, and verbal communication skills in English. - Proficiency in handling computational tools for design assessment. - Technical Writing Skills. - Project Management Skills.,

Role Overview: As an Image Processing Specialist, you will be responsible for designing, developing, and optimizing image processing and computer vision algorithms. Your primary focus will be on creating AI-driven solutions for tasks like image classification, object detection, segmentation, and enhancement. Collaboration with cross-functional teams to integrate these algorithms into products or platforms will be a key aspect of your role. This is a full-time on-site position located at our office in Infopark, Kochi. Key Responsibilities: - Develop and optimize image processing and computer vision algorithms, including filtering, enhancement, object tracking, and segmentation. - Preprocess, annotate, and analyze large image datasets to support machine learning model development. - Implement, train, and validate AI models (e.g., deep learning, neural networks) for tasks such as classification, recognition, and image generation. - Collaborate with product, engineering, and data science teams to define requirements and deploy solutions in production. - Continuously research and introduce modern techniques and libraries like OpenCV, TensorFlow, and PyTorch. - Optimize code for speed and scalability, potentially utilizing GPU acceleration. - Participate in model testing, validation, and troubleshooting processes. - Maintain thorough documentation of developed algorithms and processes. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related technical field. - Proficiency in Python and/or C++ (knowledge of MATLAB is a plus). - Experience with computer vision and image processing libraries such as OpenCV, TensorFlow, and PyTorch. - Solid understanding of machine learning and deep learning concepts. - Familiarity with GPU programming, real-time image analysis, and optimization. - Strong problem-solving and analytical skills. - Ability to work effectively in a collaborative, cross-functional environment. - Knowledge of version control systems like Git.,

You are seeking an experienced Kofax Administrator to support and maintain robust document capture and automation solutions in a high-volume business environment. Your hands-on expertise with Kofax Capture and Kofax Total Agility (KTA) platforms, along with strong technical skills in system configuration, customization, and integration, make you the ideal candidate for this role. **Key Responsibilities:** - Install, configure, and support Kofax Capture and related products in enterprise environments. - Plan, design, implement, upgrade, and troubleshoot high-availability Kofax environments, ensuring business continuity in high-volume settings. - Design and build solutions using Kofax Total Agility Designer, including: - Business process configuration. - Document intake and completion workflows. - Develop and configure Kofax Transformation Modules (KTM), including: - Document classification. - Data extraction using locators. - Custom scripting for advanced transformation logic. - Perform custom development to extend Kofax capabilities and enable seamless integration with upstream/downstream document management platforms. - Manage Kofax users, groups, roles, permissions, and system security configurations. - Provide technical support, performance tuning, and maintenance of the Kofax platform. **Technical Skills Required:** - Proficient in Kofax Capture, Kofax Total Agility (KTA), and Kofax Transformation Modules (KTM). - Strong programming and scripting knowledge in: - .NET Framework. - C#. - JavaScript, jQuery, AJAX, HTML5. - Experience working with Microsoft SQL Server (MSSQL). - Familiarity with document management system integration is a plus. **Preferred Profile:** - Strong problem-solving and troubleshooting skills in enterprise environments. - Ability to work independently and collaboratively across technical and business teams. - Excellent communication and documentation skills. You must have experience in Kofax Capture environments and Kofax Total Agility Designer to excel in this role. In case you need to know more about the company details, please provide additional information.,

As a Data Scientist at our company in Thiruvananthapuram, you will be expected to have 5 to 9 years of hands-on experience in data science projects, preferably across different domains. Your role will involve utilizing strong statistical expertise, including hypothesis testing, linear and non-linear regression, classification techniques, and probability distributions. You should demonstrate a proven ability to translate complex business problems into data science use cases with practical impact. Your key responsibilities will include: - Building and validating machine learning models, including classification, regression, and survival analysis. - Proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, as well as SQL for data querying and analysis. - Experience in handling both structured and unstructured datasets, with expertise in exploratory data analysis (EDA) and data cleaning. - Strong communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders. - Familiarity with version control tools such as Git/GitHub and collaborative development workflows. - Having a deployment mindset, with an understanding of how to build data products that are usable, scalable, and maintainable. The company values individuals with a solid foundation in data science and a passion for applying their skills to real-world problems.,

As a Data Science Specialist, your role will involve collaborating with cross-functional teams to translate business problems into data science use cases. You will design, develop, and deploy data science models, including classification, regression, and survival analysis techniques. Your responsibilities will also include building and productionizing data products that deliver measurable business impact, performing exploratory data analysis, feature engineering, model validation, and performance tuning. Additionally, you will apply statistical methods to uncover trends, anomalies, and actionable insights, while staying up to date with advancements in NLP and Generative AI to evaluate their applicability to internal use cases. Clear communication of findings and recommendations to both technical and non-technical stakeholders will be essential. Key Responsibilities: - Collaborate with cross-functional teams to translate business problems into data science use cases. - Design, develop, and deploy data science models including classification, regression, and ideally survival analysis techniques. - Build and productionize data products to deliver measurable business impact. - Perform exploratory data analysis, feature engineering, model validation, and performance tuning. - Apply statistical methods to uncover trends, anomalies, and actionable insights. - Implement scalable solutions using Python (or R/Scala), SQL, and modern data science libraries. - Stay up to date with advancements in NLP and Generative AI and evaluate their applicability to internal use cases. - Communicate findings and recommendations clearly to both technical and non-technical stakeholders. Qualifications: - Education: Bachelor's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Engineering, or a related discipline is required. Master's degree or certifications in Data Science, Machine Learning, or Applied Statistics is a strong plus. - Experience: 4-5 years of hands-on experience in data science projects, preferably across different domains. Demonstrated experience in end-to-end ML model development, from problem framing to deployment. Prior experience working with cross-functional business teams is highly desirable. Must-Have Skills: - Statistical Expertise: Strong understanding of hypothesis testing, linear/non-linear regression, classification techniques, and distributions. - Business Problem Solving: Experience translating ambiguous business challenges into data science use cases. - Model Development: Hands-on experience in building and validating machine learning models (classification, regression, survival analysis). - Programming Proficiency: Strong skills in Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn), and SQL. - Data Manipulation: Experience handling structured/unstructured datasets, performing EDA, and data cleaning. - Communication: Ability to articulate complex technical concepts to non-technical audiences. - Version Control & Collaboration: Familiarity with Git/GitHub and collaborative development practices. - Deployment Mindset: Understanding of how to build data products that are usable, scalable. Additional Company Details: The company values continuous learning and encourages staying updated with the latest advancements in data science technologies, fostering a culture of innovation and growth for its employees.,