37 Synthetics Jobs in Chittoor

Role Overview: As an AI Technical Delivery Lead (Associate Director) at our company, you will be responsible for leading our AI initiatives, providing technical leadership, driving innovation, and ensuring the successful implementation of advanced AI solutions. Your role will involve leading the design, development, and deployment of cutting-edge machine learning and generative AI solutions to address business challenges in the pharma and life sciences industry. Key Responsibilities: - Define and implement a generative AI architecture and roadmap aligned with business goals in pharma and life sciences - Architect scalable GenAI solutions for various applications such as drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation - Work with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications - Design GenAI solutions leveraging cloud platforms (AWS, Azure) or on-premise infrastructure ensuring data security and regulatory compliance - Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments - Ensure GenAI solutions comply with regulatory standards (FDA, EMA, GDPR, HIPAA, GxP, 21 CFR Part 11) and adhere to responsible AI principles - Drive efficiency in generative AI models, ensuring cost optimization and scalability while maintaining data integrity and compliance - Work with cross-functional teams to align GenAI initiatives with enterprise and industry-specific requirements - Stay updated with the latest advancements in GenAI, multimodal AI, AI agents, and synthetic data generation for incorporation into the company's AI strategy Qualification Required: - Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field - 10+ years of experience in Big data, AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences - Strong proficiency in Generative AI, LLMs, multimodal AI, and deep learning for pharma applications - Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, Hugging Face, LangChain, and Scikit-learn - Knowledge of cloud AI services such as AWS Bedrock and Azure OpenAI - Familiarity with CI/CD, containerization (Docker, Kubernetes), vector databases, and real-time model monitoring - Understanding of AI governance, responsible AI principles, and compliance requirements for GenAI in pharma - Strong analytical and problem-solving skills with the ability to design innovative GenAI solutions for life sciences use cases - Excellent communication skills to articulate GenAI strategies and solutions to technical and non-technical stakeholders Company Details: Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities it serves. If you require reasonable accommodation for any part of the recruitment process or to perform the essential functions of a position due to a medical condition or disability, please contact [email protected] Include the job requisition number in your message.,

Role Overview: As a Director/Sr Director Facilities, Safety & Administration at the U.S. Pharmacopeial Convention (USP), you will be responsible for strategic planning, managing, and implementing facility, safety, and security management of USP India laboratory and office operations. Your role will also involve overseeing administration, soft services, and acting as the administrative manager for USP's city office operations. You will have the opportunity to mentor a collaborative and diverse team while handling both local and global facility-related activities to strengthen the supply of safe, quality medicines and supplements worldwide. Key Responsibilities: - Independently set up goals, strategy, and tactics for Facilities, Safety, Administration, and Security operations to support seamless operations for all units of USP, including R&D, Collaborative Laboratory, Biologics, Synthetics, and ITeS operations. - Plan, organize, schedule, and direct the design, maintenance, construction, renovation, and repair of laboratory, administrative, and office facilities and equipment. - Develop and implement office administration strategies, supervise day-to-day operations across multiple locations, and ensure high-quality delivery of all office functions and services. - Maintain effective relationships with suppliers and service providers, manage office equipment, and oversee employee health and safety, office transportation, and parking management. - Prepare and operate department budgets, establish effective controls, SLAs, and reporting schedules, and ensure seamless integration of facilities team with other site operations teams. - Ensure smooth day-to-day operations, maintenance, and breakdown of utility equipment, guide the team on energy consumption monitoring, spare parts planning, and inventory management. - Lead the development and execution of health and safety, environmental management strategies, and ensure compliance with regulatory standards and corporate guidelines. - Monitor staff transport services, front office management, canteen facility, housekeeping protocols, security aspects, and liaise with outside contractors responsible for facility operations. Qualifications Required: - Masters degree in mechanical/chemical engineering and appropriate Facilities Management certifications. - Minimum of 15-20 years of experience in a facility management role and 15 years of people management experience. - Self-motivated, takes initiative, and effectively organizes multiple initiatives in a fast-paced environment.,

As a candidate for the position, you will be expected to have the following qualifications and experience: - JLPT N3 or N2 certified, demonstrating fluency in reading, writing, and conversing in Japanese with native speakers. - 3 to 10 years of IT experience in Application Design, Development, Testing, and Maintenance projects. - Knowledge and hands-on experience in Software testing life cycle (STLC) in insurance (Life & P&C) or financial services domains. - Experience in writing and executing detailed test cases/scripts and clear test documentation. - Understanding of Agile/sprint-based QA and distributed team collaboration. - Ability to effectively coordinate with Customer SMEs from Business & IT, Onsite and Offshore teams. - Active involvement in Application transition and stabilization phases by aligning to Japan (JST) working hours. - Hands-on experience with automation and integration testing tools such as Selenium, Playwright, SoapUI, Postman, etc. - Familiarity with test data management and synthetic data generation using GenRocket. - Basic SQL/database testing (MySQL, PostgreSQL) and familiarity with CI/CD environments.,

Role Overview: You will be responsible for designing and implementing various tools like Dynatrace SaaS and Dynatrace Appmon. Your role will involve working extensively on the implementation, configuration, and maintenance of APM tools named Dynatrace and Appmon. Additionally, you should have experience in application performance management tools such as Dynatrace (OneAgent, Synthetic Script, DCRUMEnterprise Synthetic script) and Appmon. Knowledge of Python and Node JS is desirable, and possessing One Agent Certification would be an added advantage. Key Responsibilities: - Deploy Dynatrace OneAgent to diverse environments and topologies distributed across different geographic locations. - Gather requirements from application owners, analyze the requirements, and implement monitoring using OneAgent on the requisite servers. - Understand the discovered application processes/services and configure them accordingly. - Collaborate with the application team to identify critical transactions and develop dashboards for monitoring. - Customize Anomaly detection rules and set up alerting profiles for each application to notify the application users. - Create/setup detection rules for log files discovered by OneAgent. - Integrate tools like Jenkins with Dynatrace OneAgent, if applicable. - Establish Management zones for each application and assign respective users to manage zones to view their application details. - Manage and administer tools effectively. - Collaborate closely with Dynatrace support to troubleshoot and resolve any application issues over calls. Qualifications Required: - Experience in configuration and administration. - Proficiency in OneAgent and Dynatrace. - Familiarity with tool management and troubleshooting techniques. (Note: The JD does not contain any additional details about the company.),

As a member of our team, you will play a crucial role in the purification of synthetic compounds using chromatography techniques such as Preparative HPLC, Flash Chromatography, and LC-MS. Your primary responsibility will be to optimize purification methods to ensure the recovery of high-quality compounds. Additionally, you will need to perform routine analytical characterization of purified compounds using techniques like NMR, Mass Spectrometry, and UV Spectroscopy. Your duties will also include maintaining laboratory instruments by ensuring proper calibration and troubleshooting minor technical issues. It will be essential for you to keep detailed records of purification processes, observations, and experimental results. Collaboration with medicinal chemists and analytical teams will be necessary to ensure a smooth workflow and timely delivery of purified compounds. Strict adherence to safety protocols, standard operating procedures (SOPs), and regulatory compliance guidelines is mandatory in this role. Qualification Required: - Masters degree (M.Sc.) in Organic Chemistry, Analytical Chemistry - Fresher - 2024 Passed out only from a reputed university - More than 70% in all academic qualifications,

Role Overview: As an Experienced Data Scientist at the company, you will be focused on developing and implementing Generative AI solutions to tackle critical business challenges and discover new opportunities. Your expertise in data science, machine learning, and Generative AI techniques will be vital in driving impactful projects from inception to implementation. Key Responsibilities: - Data Handling & Preparation: - Work with diverse and large-scale datasets. - Perform data cleaning, preprocessing, and feature engineering. - Create synthetic datasets for training and evaluating Generative AI models. - Maintain data quality and integrity throughout the model development process. - Model Optimization & Deployment: - Optimize Generative AI models for performance, scalability, and efficiency. - Incorporate responsible AI practices including bias detection and mitigation. - Collaborate with Machine Learning Engineers and DevOps teams for model deployment. - Prompt Engineering & Fine-tuning: - Develop effective prompts and fine-tuning strategies for Large Language Models. - Customize models for specific domains and tasks to achieve desired outcomes. - Generative AI Model Development & Implementation: - Design, develop, train, fine-tune, and deploy various Generative AI models. - Models may include Large Language Models, diffusion models, GANs, VAEs. - Applications encompass text generation, image and video synthesis, code generation, and synthetic data creation. - Research & Innovation: - Stay abreast of the latest Generative AI research. - Explore new architectures, methodologies, and tools. - Identify opportunities to apply cutting-edge techniques to solve business challenges. - Experimentation & Evaluation: - Design and conduct experiments to assess model performance. - Analyze results using metrics like BLEU, ROUGE, FID, perplexity. - Refine model development based on insights gathered. - Collaboration & Communication: - Collaborate closely with product managers, engineers, researchers, and stakeholders. - Understand requirements, convey technical findings, and simplify AI concepts for non-technical audiences. - Documentation & Knowledge Sharing: - Maintain detailed documentation of development processes, models, and outcomes. - Share knowledge and best practices with data science and engineering teams. Qualifications Required: - Experience in data science, machine learning, and Generative AI. - Proficiency in handling large datasets, data preprocessing, and model optimization. - Strong skills in model development, fine-tuning, and deployment. - Familiarity with cutting-edge Generative AI models and applications. - Excellent communication, collaboration, and documentation abilities. Note: The company emphasizes adherence to ethical AI principles to guarantee fairness, transparency, and accountability in the Generative AI model development and deployment process.,

You are expected to have the following competencies: - JLPT N3 or N2 certified, with fluency in reading, writing, and conversing in Japanese with native speakers. - 3 to 10 years of IT experience in Application Design, Development, Testing, and Maintenance projects. - Knowledge and hands-on experience in Software testing life cycle (STLC) in insurance (Life & P&C) or financial services domains. - Experience in writing and executing detailed test cases/scripts and clear test documentation. - Understanding of Agile/sprint-based QA and distributed team collaboration. - Ability to effectively coordinate with Customer SMEs from Business & IT, Onsite and Offshore teams. - Actively involved in Application transition and stabilization phases by aligning to Japan (JST) working hours. - Hands-on experience with automation and integration testing tools (Selenium, Playwright, SoapUI, Postman, etc.). - Familiarity with test data management and synthetic data generation (GenRocket). - Basic SQL/database testing (MySQL, PostgreSQL) and familiarity with CI/CD environments. Additionally, it's mentioned that the company requires candidates with JLPT N3 or N2 certification, IT experience in Application Design, Development, Testing, and Maintenance projects, knowledge of Software testing life cycle in specific domains, experience in writing and executing test cases, understanding of Agile methodologies, ability to coordinate with various teams, and hands-on experience with testing tools and technologies.,

As a Lead Software Engineer AI Cloud Applications at Epiq's Legal Solutions organization, you will play a crucial role in designing, developing, and deploying innovative, cloud-native, AI-driven products for Fortune-500 customers. Your responsibilities will include: - Hands-on product development: Design, build, and deploy enterprise-grade products. You will primarily focus on coding, develop software development plans, timelines, and budgets, and monitor progress to ensure timely completion. - Cloud management: Utilize tools and services of hyperscale cloud providers to ensure scalability. You will manage the cloud production environment to balance observability, performance, and cost effectively. - Applied AI implementation: Select and operationalize foundation and ML models, optimize prompts, train and fine-tune models, and evaluate performance. Additionally, you will architect, build, and operate agentic systems. - Data handling: Clean, label, and manage training data, knowledge bases, and target responses. Collaborate with domain experts to capture tacit knowledge and generate synthetic data. - Innovation and Strategy: Rapidly build prototypes and MVPs for product ideas using low-code toolkits. Lead discussions on technical strategy and architecture. - Applied research and collaboration: Stay updated with AI trends and technologies, apply them to solve real-world problems, and collaborate with various stakeholders to shape requirements and roadmap. Qualifications required for this role: - Education: Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML, or related field. - Experience: Minimum 7 years of experience as a software engineer, AI/ML engineer, or similar role. - Cloud expertise: Hands-on experience with building and operating SaaS applications on hyperscale cloud platforms like Azure, AWS, or GCP. - AI/ML/Data Science skills: Proficiency in Python, experience with AI and data science frameworks/libraries, understanding of data structures, algorithms, and software engineering principles, AI, machine learning, NLP, neural networks, and data management. - Development knowledge: Familiarity with Agile, SDLC, CI/CD, containerization, RESTful APIs, and MLOps tools. If you enjoy working in a fast-paced environment with enthusiastic team members and have a passion for developing cutting-edge AI applications, this role at Epiq might be the perfect fit for you.,

As an experienced professional in Test Data Management (TDM) and Data de-personalization with over 8 years of experience, you have expert hands-on knowledge of TDM tools and their components. You have a proven track record in developing data subset solutions, enabling self-service, and data reservation in TDM portal. Your ability to deep dive into a TDM roadmap and develop innovative TDM solutions sets you apart. Your SQL proficiency is exceptional, and you are well-versed in various databases such as DB2, MSSQL, and flat files. You are committed to ensuring that industry-defined Best Practices are adhered to in Test Data Management. Your effective collaboration skills enable you to work seamlessly within a global team environment. Your troubleshooting acumen and strong communication skills contribute to your success in this role. You have a solid understanding of Agile methodologies and vendor engagement models. **Responsibilities:** - Discover, design, and develop test data using industry standard techniques and tools. - Create and implement test data strategies, encompassing data sizing, data discovery, data transformation, production-like data, synthetic data generation, reusable and secure test data. - Capture test requirements, create and provision test data, and maximize test data reuse. Qualifications Required: - 8+ years of experience in Test Data Management (TDM) and Data de-personalization. - Expert hands-on knowledge of TDM tools and their components. - Proficiency in SQL and understanding of various databases like DB2, MSSQL, and flat files. - Familiarity with Agile methodologies and vendor engagement model.,

A Textile Engineer is a professional who specializes in the design, development, and production of textiles and textile-based products. They work with a wide range of materials, from natural fibers such as cotton and wool, to synthetic fibers such as polyester and nylon. Textile Engineer Responsibilities & Duties Design, develop, and test textiles to meet specific requirements and specifications Conduct market research and analyze industry trends to identify new opportunities for product development Manage the production process, ensuring efficient and cost-effective production methods are used Conduct quality control inspections to ensure products meet industry standards and customer requirements Lead cross-functional teams to develop and execute product launch plans Provide technical support to internal and external customers, including sales and marketing teams, suppliers, and production staff

We are seeking your support in identifying suitable profiles for TDM Engineer positions for our direct client in HyderabadInterested Share your updated resume to senthil@jkvitservices.com Mandate Skills * Broadcom skills * Synthetic Data Generation * Data Masking * Self service Test Data provisioning * Data Subsetting TDM Senior Engineer Job Description: * Responsible for delivering test data management solutions focusing on enhanced data provisioning capabilities, data integration and devising efficient TDM processes.* Work with other stakeholders like Test Managers, Infrastructure, Release managers, DBAs, Risk & Security teams, Application owners to capture and review test data requirements and test data provisioning techniques and plans.* Data Modeling, Analyses & Data Discovery.* Business rule identification, PII analysis/Masking/Sub-Setting process definition* Extensive knowledge of Databases, Data Warehouses, Business Processes and related data flows and systems integrations. Skills: * 8 + years of information technology experience with large and complex applications. * 5+ years of design, install, configuration and deploying TDM services in large enterprises. * 3+ years of hands-on TDM development and experience delivering solutions using Broadcom TDM * Excellent interpersonal skills with excellent verbal skills * Data analysis with ability to write complex SQL statements including XML/JSON parsing. ----------------------------------------------------------------------------------------------------------------------------- Position 2 : TDM Engineer Job Description: * Responsible for delivering test data management solutions focusing on enhanced data provisioning capabilities, data integration and devising efficient TDM processes. * Data Modeling, Analyses & Data Discovery. * Business rule identification, PII analysis/Masking/Sub-Setting process definition Skills: * 3 + years of information technology experience with large and complex applications. * 3+ years of design, install, configuration and deploying TDM services in large enterprises. * 3+ years of hands-on TDM development and experience delivering solutions using Broadcom TDM Mode of work: Work from Office/Remote, Hyderabad

As a highly skilled CDP & Marketing Analytics Specialist at our digital transformation team, your primary role will involve leveraging Customer Data Platforms (CDPs) and advanced analytics to enable data-driven decision-making and hyper-personalized marketing at scale. Your responsibilities will include: - Designing and implementing end-to-end customer data ingestion strategies from various sources into a unified CDP. - Building and maintaining real-time streaming data pipelines using tools like Azure Data Factory, Databricks, Kafka, etc. - Developing composable CDPs using modern data platforms such as Snowflake and Databricks. - Deploying AI/ML-driven customer segmentation models and performing advanced analytics including CLV estimation, churn prediction, attribution analysis, sentiment analysis, and propensity modeling. - Building and operationalizing predictive models for customer service chatbots, content generation, and personalization. - Implementing real-time decisioning engines and API-based integrations with advertising platforms for dynamic campaign execution. - Collaborating with cross-functional teams including marketing, data engineering, product, and analytics for seamless operations. Qualifications required for this role: - Bachelor's or master's degree in computer science, Data Science, Marketing Analytics, or a related field. - 5+ years of experience in CDP implementation and marketing analytics. - Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP. - Exposure to MLOps practices and model monitoring pipelines. - Strong proficiency in Python, SQL, and ML frameworks. - Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. - Hands-on experience with NLP techniques and libraries. - Experience deploying GenAI applications. - Familiarity with campaign attribution models, marketing funnels, and retention strategies. - Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce). Additional Information: Bachelor of Computer Applications (B.C.A.). Job Types: Full-time, Permanent. Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP is mandatory. Experience in Python, SQL, and AI/ML Frameworks is required. Experience in Azure Data Factory, Databricks, Synapse, Snowflake is preferred. Experience deploying GenAI applications is essential. Experience: CDP implementation and marketing analytics: 6 years (Preferred) Work Location: In person As a highly skilled CDP & Marketing Analytics Specialist at our digital transformation team, your primary role will involve leveraging Customer Data Platforms (CDPs) and advanced analytics to enable data-driven decision-making and hyper-personalized marketing at scale. Your responsibilities will include: - Designing and implementing end-to-end customer data ingestion strategies from various sources into a unified CDP. - Building and maintaining real-time streaming data pipelines using tools like Azure Data Factory, Databricks, Kafka, etc. - Developing composable CDPs using modern data platforms such as Snowflake and Databricks. - Deploying AI/ML-driven customer segmentation models and performing advanced analytics including CLV estimation, churn prediction, attribution analysis, sentiment analysis, and propensity modeling. - Building and operationalizing predictive models for customer service chatbots, content generation, and personalization. - Implementing real-time decisioning engines and API-based integrations with advertising platforms for dynamic campaign execution. - Collaborating with cross-functional teams including marketing, data engineering, product, and analytics for seamless operations. Qualifications required for this role: - Bachelor's or master's degree in computer science, Data Science, Marketing Analytics, or a related field. - 5+ years of experience in CDP implementation and marketing analytics. - Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP. - Exposure to MLOps practices and model monitoring pipelines. - Strong proficiency in Python, SQL, and ML frameworks. - Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. - Hands-on experience with NLP techniques and libraries. - Experience deploying GenAI applications. - Familiarity with campaign attribution models, marketing funnels, and retention strategies. - Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce). Additional Information: Bachelor of Computer Applications (B.C.A.). Job Types: Full-time, Permanent. Experience with tools like Hightouch, Segment, mParticle, Treasure D

As a Quality Assurance & Analytical Chemist at FMC, you will play a crucial role in providing daily analysis support by developing, validating, and applying modern analytical technologies for the development and commercialization of agricultural products. Your responsibilities will include: - Knowing, understanding, and practicing all aspects of laboratory safety and industrial hygiene protocols. - Developing, validating, and implementing methods for qualitative and quantitative analysis to meet business needs. - Conducting routine and non-routine analysis of process technical data to ensure project quality and timing needs are met. - Collecting data, generating summaries, and reports. - Supporting the investigation of quality incidents in production and working with tech leaders to implement proper corrective and preventive actions. - Operating, maintaining, and being technically competent in various analytical instrumentation (HPLC, GC, IC, MS, Titrator, FTIR) to provide accurate and reliable data. - Collaborating with synthetic chemists and engineers to provide structure determinations and analytical results as requested. - Managing the quality of active ingredients and intermediates with contract manufacturers, including implementing product specifications and testing methods. - Coordinating sample testing and supporting changes in processes, equipment, and raw material sources. To qualify for this role, you should have: - A Master's degree or above in chemistry/biochemistry or equivalent experience with knowledge of analytical and organic chemistry. - At least 10 years of experience, with a minimum of 8 years in analytical development/quality control positions. - Experience with method development and troubleshooting using various lab instruments/techniques such as HPLC, GC, LCMS, GCMS, IR, titrator, etc. - Demonstrated strong interpersonal skills, problem-solving abilities, and effective written and oral communication. - Familiarity (or ability to learn rapidly) with computers and software packages from different instrument manufacturers. If you are a motivated leader with a strong technical background and a commitment to safety and efficiency, we invite you to apply for this exciting opportunity at FMC.,

As a Computer Vision Intern at our company, you will be a part of the AI research and development team, working on building intelligent systems using computer vision techniques. You will have the opportunity to explore cutting-edge technologies like Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI. This role is ideal for someone passionate about bridging vision and language technologies to create next-gen AI applications. **Key Responsibilities:** - Assist in developing and optimizing computer vision models for tasks such as object detection, tracking, segmentation, and image classification. - Work with annotated datasets, perform data preprocessing, and augmentation for vision pipelines. - Contribute to integrating vision models with LLM-based architectures for multimodal use cases. - Support the design and prototyping of RAG-based workflows combining vision data with large language models. - Explore Generative AI approaches for synthetic data generation and enhancement. - Conduct research, benchmarking, and experiments using popular frameworks like OpenCV, PyTorch, TensorFlow, or similar. **Qualifications Required:** - Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, or related fields. - Strong understanding of deep learning fundamentals and computer vision techniques. - Academic exposure and project-based experience with Python and libraries such as OpenCV, NumPy, TensorFlow, or PyTorch. - Familiarity with LLMs (e.g., GPT, BERT), RAG architecture, agentic frameworks, or Generative AI tools is a strong plus. - Good problem-solving skills, curiosity, and willingness to learn new technologies. If you are excited about working on innovative projects in the field of computer vision and AI, then come join our awesome squad by applying now!,

Role Overview: As a Scientist II at USP, you will play a crucial role in supporting the development of reference materials, specifically focusing on analytical method development for in-process samples in the synthetic lab. Your responsibilities will include performing various analytical tests, ensuring a safe and GLP-compliant environment in the lab, evaluating reference standards, developing and validating official methods, conducting stability studies, and contributing to research projects within the analytical department. Key Responsibilities: - Support reaction monitoring, scale up, and final analysis of samples based on monograph/in-house procedures, including method development when necessary - Prepare development reports for Synthetic Support projects and participate in project acceptance - Execute projects according to approved test protocols if assigned - Prepare, execute, and complete IQ/OQ/PQ of new instruments, indent required glassware, chemicals, and columns for ARD projects, and maintain GLP and implement safety procedures in the lab - Responsible for preparing SOPs, protocols, reports, etc., coordinating project requirements with the Purchasing department, and ensuring proper calibration of equipment - Prepare and plan for ISO-9001 certification/recertification, participate actively in verification of protocols and related documents, and address audit issues promptly - Practice Diversity, Equity, Inclusion, and Belonging principles at USP India Qualifications Required: - MSc in Analytical Chemistry/Organic Chemistry/M.Pharm with 3-6 years of experience in Analytical Research and Development - Hands-on experience with chemical methods and instruments like HPLC, GC, FTIR, UV-Visible, wet chemistry, etc. - Experience in analytical testing and development with a focus on process analytical chemistry, exposure to GMP/GLP environment, and documentation procedures - Comprehensive understanding of the science involved in the development of synthetic organic molecules and analytical chemistry - Excellent technical writing and verbal communication skills - Good interpersonal skills and proven ability to function in a team-oriented environment Note: USP values inclusivity and aims to create a culture that provides meaningful opportunities for mentorship and professional growth. The organization is committed to diversity, equity, inclusion, and belonging to ensure quality in health and healthcare for all individuals. USP invests in the professional development of employees, including training in inclusive management styles and other competencies to foster engaged and productive work environments.,

As a Continuous Improvement Leader, your role involves leading various improvement initiatives within the organization. You will be responsible for the following key responsibilities: - Serving as the referent for methodology such as Charts like Box plot, 7QC Tools, Spaghetti diagrams, etc. - Promoting LEAN manufacturing initiatives and supporting all improvement projects. - Managing 5S activities, conducting audits, and developing action plans for improvement. - Organizing production line, workshop layout, and flow management. - Utilizing required tools and means to foster good relationships within the project team. - Providing synthetic and clear regular reports on progress follow-up. - Coordinating effectively with stakeholders to ensure project success. To excel in this role, you should possess the following qualifications: - Lean Sigma certification - Green Belt & Black Belt - Proficiency in MS Office and Project Management tools - Significant experience in production management and/or LEAN manufacturing - Familiarity with Hoshin kanri methodology This position offers the opportunity to work on challenging projects and contribute to the continuous improvement culture of the company.,

As a Quality Assurance & Analytical Chemist at FMC, you will be part of a team dedicated to providing innovative solutions for agriculture and the planet. Your role will involve utilizing your knowledge and experience to provide daily analysis support, develop, validate, and apply modern analytical technologies, and ensure quality standards are met at the Toller site. You will be expected to work collaboratively with the team, adapt to changes, and meet project quality and timing needs. **Key Responsibilities:** - Know, understand, and practice all aspects of laboratory safety and industrial hygiene protocols. - Develop, validate, and implement methods for qualitative and quantitative analysis to meet business needs. - Conduct routine and non-routine analysis of process, technical, to meet project quality and timing needs. - Collect data, generate summaries and reports. - Support the investigation of quality incidents and work with tech leaders to implement corrective and preventive actions. - Operate, maintain, and be technically competent in various analytical instrumentation. - Work closely with synthetic chemists and engineers to provide analytical results as per request. - Manage quality of active ingredients and intermediates with contract manufacturers. - Review MOA and analytical Teck pack and suggest improvements. - Perform other tasks assigned by the line manager. **Qualifications Required:** - Masters degree or above in chemistry/biochemistry or equivalent experience. - 10+ years of experience with a minimum of 8 years in analytical development/quality control. - Experience with method development and troubleshooting with various lab instruments/techniques. - Strong interpersonal skills, problem-solving abilities, and written and oral communication skills. - Familiarity with computers and software packages from various instrument manufacturers. If you are a motivated leader with a strong technical background and a passion for safety and efficiency, we invite you to apply for this dynamic role at FMC.,

Role Overview: As an R&D Chemist at GMK Research Laboratories, you will be a key member of the Research and Development team. Your primary responsibility will involve conducting organic synthesis, process development, and analytical work to support ongoing research projects and new product development. Your role will require a high level of motivation and dedication to contribute to the scientific excellence and innovative solutions of the organization. Key Responsibilities: - Conduct organic synthesis, purification, and characterization of compounds. - Develop, optimize, and scale up chemical processes for laboratory and pilot-scale production. - Perform reaction monitoring and maintain detailed records of experiments and observations. - Analyze samples using chromatographic and spectroscopic techniques (TLC, HPLC, GC, IR, NMR, etc.). - Assist in developing and improving synthetic routes for new chemical entities or intermediates. - Ensure compliance with safety standards, GLP (Good Laboratory Practices), and company procedures. - Collaborate with analytical, production, and quality teams for project execution. - Prepare technical reports, experimental data sheets, and documentation for R&D projects. Qualification Required: - M.Sc. in Organic Chemistry from a recognized university. - Strong understanding of organic synthesis and reaction mechanisms. - Hands-on experience in laboratory techniques and instrumentation. - Good analytical thinking, problem-solving ability, and attention to detail. - Effective communication and teamwork skills. (Note: No additional details of the company were provided in the job description.),

Role Overview: You will be responsible for monitoring and troubleshooting application performance using tools like AppDynamics, Dynatrace, and Manage Engine. Additionally, you will assist in the migration from Dynatrace Managed to Dynatrace SaaS, including setting up new environments and consolidating existing ones. Your role will involve configuration, data migration, and management of Dynatrace environments. Furthermore, you will contribute to the documentation process by creating user and administrator guides. Key Responsibilities: - Install, configure, and maintain Dynatrace environments - Monitor Dynatrace environments and troubleshoot any arising issues - Assist in migrating from Dynatrace Managed to Dynatrace SaaS - Write client-oriented Dynatrace user and administrator guides - Provide health and performance data reports, create custom dashboards, and alerts - Collaborate with monitoring team, production support, and application teams to configure application-level monitoring - Configure New Relic Application performance monitoring and set up alerts and dashboards Qualifications Required: - 5-8 years of experience in application Performance Monitoring Tools - Expertise in enterprise Monitoring like APM, Synthetic monitoring, Browser Monitoring, Log monitoring, Real user Monitoring, java, and .net based applications - Proficiency in configuring and customizing Dynatrace platform - Strong understanding of application performance management (APM) concepts and methodologies - Experience in monitoring and troubleshooting complex distributed systems - Familiarity with cloud-based environments and monitoring best practices in these environments - Knowledge of DevOps practices and tools - Strong analytical and problem-solving skills - Excellent communication and collaboration skills - Ability to multitask and prioritize work in a fast-paced environment - Continuous learning mindset to stay updated with industry trends and evolving Dynatrace platform,

You are a highly experienced and motivated Senior/Principal Scientific Manager responsible for leading the Peptide Synthesis function at Aragen Life Sciences. Your role involves managing high-impact projects, ensuring client satisfaction, optimizing resource utilization, and fostering a high-performance scientific culture. **Key Responsibilities:** - Manage and grow global client relationships; serve as the primary technical contact - Plan, lead, and deliver multiple peptide synthesis projects on time and within budget - Drive collaboration, project retention, and client satisfaction - Provide deep scientific guidance in solid-phase and solution-phase peptide synthesis - Troubleshoot complex synthetic challenges and optimize purification strategies - Drive innovation through adoption of advanced analytical and purification technologies - Mentor and guide scientific staff; foster continuous learning and development - Conduct performance reviews and implement recognition and engagement programs - Build a strong pipeline of scientific talent within the peptide synthesis function - Optimize usage of manpower, infrastructure, and materials for cost-effective delivery - Ensure adherence to GLP, safety, IP confidentiality, and data integrity protocols - Lead continuous improvement initiatives and contribute to business unit growth **Key Qualifications:** - Ph.D. / Postdoctoral Fellowship in Organic or Medicinal Chemistry - Senior Scientific Manager (M2): 5-8 years of relevant experience - Principal Scientific Manager (M3): 7-11 years of relevant experience - Expertise in peptide synthesis (SPPS, solution phase) with hands-on troubleshooting - Prior experience in CRO/CDMO setups highly desirable - Strong people management, client handling, and cross-functional collaboration skills - Research publications in peer-reviewed journals preferred,