Data Engineering & Analytics Team Lead About BizAcuity BizAcuity is a Business Intelligence and Data Analytics product engineering and consulting company developing solutions for clients across globe in various domains, including Gaming, BFSI, Media, E-Commerce etc. BizAcuity has developed a product, which is an AI-powered Software-as-a-Service (SaaS) platform that provides visual and predictive analytics using Machine Learning and Artificial Intelligence. Job Mode Onsite/Work from Office | Monday to Friday | Shift 1 (Morning). Job Location Hyderabad. Job Description : Overview : We are seeking an experienced Team Lead to oversee our data engineering and analytics team consisting of data engineers, ML engineers, reporting engineers, and data/business analysts. The ideal candidate will drive end-to-end data solutions from data lake and data warehouse implementations to advanced analytics and AI/ML projects, ensuring timely delivery and quality standards. Key Responsibilities : - Lead and mentor a cross-functional team of data professionals including data engineers, ML engineers, reporting engineers, and data/business analysts. - Manage the complete lifecycle of data projects from requirements gathering to implementation and maintenance. - Develop detailed project estimates and allocate work effectively among team members based on skills and capacity. - Implement and maintain data architectures including data lakes, data warehouses, and lakehouse solutions. - Review team deliverables for quality, adherence to best practices, and performance optimization. - Hold team members accountable for timelines and quality standards through regular check-ins and performance tracking. - Translate business requirements into technical specifications and actionable tasks. - Collaborate with clients and internal stakeholders to understand business needs and define solution approaches. - Ensure proper documentation of processes, architectures, and code. Technical Requirements : - Strong understanding of data engineering fundamentals including ETL/ELT processes, data modeling, and pipeline development. - Proficiency in SQL and data warehousing concepts including dimensional modeling and optimization techniques. - Experience with big data technologies and distributed computing frameworks. - Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure) and their respective data services. - Knowledge of on-premises data infrastructure setup and maintenance. - Understanding of data governance, security, and compliance requirements. - Familiarity with AI/ML workflows and deployment patterns. - Experience with BI and reporting tools for data visualization and insights delivery. Management Skills : - Proven experience leading technical teams of 4+ members. - Strong project estimation and resource allocation capabilities. - Excellent code and design review skills. - Ability to manage competing priorities and deliver projects on schedule. - Effective communication skills to bridge technical concepts with business objectives. - Problem-solving mindset with the ability to remove blockers for the team. Qualifications : - Bachelor's degree in Computer Science, Information Technology, or related field; - 5+ years of experience in data engineering or related roles. - 2+ years of team leadership or management experience. - Demonstrated success in delivering complex data projects. - Certification in relevant cloud platforms or data technologies is a plus. What We Offer : - Opportunity to lead cutting-edge data projects for diverse clients. - Professional development and technical growth path. - A collaborative work environment that values innovation. - Competitive salary and benefits package.

We are seeking qualified and passionate faculty members to join our Computer Science & Engineering department. The ideal candidate should possess strong academic credentials, a commitment to teaching and research excellence, and the ability to mentor and inspire students in a dynamic learning environment. Role & responsibilities Preferred candidate profile

Looking for AI & Robotics Teachers for Airoli Location Vibgyor Group of Schools. for more details share Resume at manasi.malvankar@vgos.org Lesson Delivery: Ensure the lesson plan prepared is followed along with the mentioned resources and activities. Ensure all students are learning in a safe and productive environment. We should make use of effective pedagogical styles to suit different aptitudes, learning styles and interests of the students. Student Administration: Ensure discipline is maintained in accordance with the rules and disciplinary systems of the school Promote maximum student participation and assist students in improving study habits. We should keep a check on basic hygiene and pay attention to health matters seriously and diligently for each child. Classroom Functioning: Create an effective learning environment through functional and attractive displays, bulletin boards, and interest centers Ensure a positive and professional relationship with parents is maintained & provide feedback to parents. Secondary Responsibility: Administration / School Policies: Must compile, maintain, and ensure confidentiality of school records. Should adhere to all the policies in force/ introduced from time to time and actively implement the same. Should do any similar work not specified in this job description at the coordinator's request. Should conduct quarterly stock check of the teaching aids along with the coordinator.

Job Summary : We are seeking an experienced and dynamic Analytical Team Lead with expertise in Qlik SaaS, Power BI, Data Lake solutions, and AI/ML technologies. The successful candidate will lead a team of data analysts and engineers, driving business intelligence (BI) initiatives, building scalable analytics platforms, and leveraging advanced AI/ML models to uncover actionable insights. This role requires a strong balance of technical expertise, strategic thinking, and leadership skills to align data strategies with organizational goals. Key Responsibilities : 1. Leadership and Team Management :- Lead, mentor, and manage a team of data analysts, BI developers, and data engineers.- Promote collaboration and knowledge sharing within the team to foster a high-performance culture.- Ensure alignment of analytics objectives with business priorities. 2. BI and Data Visualization :- Design, implement, and manage scalable dashboards using Qlik SaaS and Power BI.- Ensure data visualization best practices to deliver clear, actionable insights.- Collaborate with stakeholders to define KPIs and build intuitive reporting solutions. 3. Data Architecture and Integration :- Oversee the design and optimization of Data Lake solutions for efficient data storage and retrieval.- Ensure seamless integration of data pipelines across multiple systems and platforms.- Partner with data engineering teams to maintain data quality, governance, and security. 4. AI/ML Implementation :- Drive the adoption of AI/ML technologies to build predictive models, automate processes, and enhance decision-making.- Collaborate with data scientists to develop and deploy machine learning models within the analytics ecosystem. 5. Agile Project Management : - Lead analytics projects using agile methodologies, ensuring timely delivery and alignment with business goals.- Act as a bridge between technical teams and business stakeholders, facilitating clear communication and expectation management.6. Stakeholder Engagement : - Work closely with business leaders to identify analytics needs and opportunities.- Provide thought leadership on data-driven strategies and innovation.Key Skills and Qualifications : Technical Expertise : 1. Proficiency in Qlik SaaS and Power BI for BI development and data visualization. 2. Strong understanding of Data Lake architectures and big data technologies (Azure Data Lake, Google big query ). 3. Hands-on experience with AI/ML frameworks and libraries4. Knowledge of programming languages such as Python, R, or SQL.Leadership and Communication :1. Proven experience in leading and mentoring teams. 2. Strong stakeholder management and communication skills to translate complex data concepts into business value.Project Management :1. Experience with agile methodologies in analytics and software development projects. Education :- Bachelor's degree (12 + 4) .Preferred Qualifications : 1. Certification in Qlik, Power BI, or cloud platforms . 2. Experience in deploying analytics solutions in hybrid or cloud environments. 3. Familiarity with DevOps, CI/CD pipelines, and MLOps processes.

Skills: Selenium, Cypress, REST Assured, performance testing, Automation Testing, automation tools, Mobile Testing, QA Automation, Job TitleSenior QA Tester Experience4 6 Years LocationMohali (Phase 8B) Key Responsibilities Independently perform end-to-end manual and automation testing across multiple projects Take full responsibility for project testing, ensuring high-quality deliverables Develop, review, and execute test cases, test plans, and test scripts Implement automation frameworks and scripts to improve testing efficiency Conduct functional, regression, integration, usability, performance, and AI-based testing Identify, document, and track bugs and defects using bug-tracking tools Perform API testing (Postman preferred) and validate system integrations Utilize AI-driven testing methodologies to enhance test coverage and accuracy Collaborate with developers, business analysts, and project managers to understand project requirements and resolve issues Ensure compliance with quality standards and best testing practices Provide detailed reports on test results, defects, and recommendations for improvement Required Skills & Qualifications 4+ years of experience in software testing, including manual and automation testing Strong understanding of SDLC, STLC, and defect life cycle Hands-on experience with test automation tools (Selenium) Experience in testing web and mobile applications Good knowledge of API testing (Postman, REST, or SOAP UI preferred) Experience with AI-driven testing frameworks is a plus Strong analytical and problem-solving skills Ability to work independently and take ownership of project testing Excellent communication and documentation skills

Roles Responsibilities: Research and Development: Design, develop, and implement novel NLP algorithms and models to achieve state-of-the-art performance on various NLP tasks. Algorithm Engineering: Implement NLP algorithms and models from theory to practice, ensuring their scalability, efficiency, and performance. Experimentation and Evaluation: Conduct thorough experiments and evaluations of NLP models to determine their effectiveness and identify areas for improvement. Model Optimization and Deployment: Optimize and deploy NLP models for production-ready use cases, ensuring their reliability and maintainability. Knowledge Sharing and Collaboration: Collaborate with the research team to share knowledge, best practices, and research results. Staying Up-to-Date: Stay current with the latest developments in NLP research and industry trends. Documentation and Communication: Write technical reports, papers, and documentation to communicate research results and best practices. Mentorship and Training: Mentor and train junior researchers and engineers to develop their NLP skills. Required skills: Strong background in NLP , including language understanding, text processing, and machine learning. Proficiency in one or more programming languages (e. g. , Python, Java, C++, R). Familiarity with NLP frameworks and toolkits (e. g. , PyTorch, TensorFlow, spaCy, NLTK). GenAI Skills and Tools: RAG, Quantization, LLM-fine tuning, Parameter Efficient Fine-tuning (PEFT) using LoRA/QLoRA, LangChain, LangGraph/AutoGen/CrewAI. MLOps: Atleast one of MLFlow, DVC, Wandb, Airflow. Strong knowledge of machine learning and deep learning concepts , including supervised and unsupervised learning methods. Research experience with publication(s) in top-tier NLP conferences. Excellent problem-solving and analytical skills , with a strong ability to design and implement solutions. Strong communication and collaboration skills , with the ability to effectively communicate technical research and ideas to both technical and non-technical stakeholders.

Position: Junior AI Research Engineer (Generative AI) Location: Noida Company: CodeFire Technologies Pvt. Ltd. About the Role: Looking for a sharp and motivated Junior AI Research Engineer to join our team and work on cutting-edge Generative AI projects. If you're from a premier institute (IIT/NIT/IIIT/Passionate Coder), work on cutting edge Gen AI solutions, and love solving complex problems, this is your chance to work hands-on with large language models, GenAI tools, and cutting edge AI solutions. What You'll Do: 1. Understand nuances of multiple LLMs and use them in developing applications 2. Explore different techniques of prompt engineering and measure its impact on solutions 3. Look out for latest research and keep yourself updated 4. Be part of core group that leads Gen AI practice in the company What We're Looking For: 1. Recent graduate (any branch) from IIT/NIT/IIIT/Passionate Coder 2. Strong analytical and logical reasoning 3. Research oriented mindset 4. Passionate to be on the forefront of GenAI revolution 5. Hands-on experience (projects, papers, GitHub, etc.) in AI 6. Worked with Python, PyTorch/TensorFlow, LangChain, or OpenAI APIs Why Join Us: 1. Work on meaningful, cutting edge, real-world GenAI applications 2. Mentorship from experienced tech leaders 3. Flexible and innovation-driven culture 4. Exposure to early-stage AI product building Apply Now Share your resume and AI project work at hr@codefire.in or whatsapp 7042203446

Roles and Responsibilities Design and deliver training programs for corporates on emerging technologies such as AI, ML, DevOps, Data Science, Python, JavaScript, etc. Develop course materials and presentations to effectively communicate complex technical concepts to non-technical audiences. Conduct hands-on sessions and workshops to facilitate learning and knowledge transfer. Collaborate with subject matter experts (SMEs) to develop customized training solutions that meet client requirements. Provide post-training support through coaching, mentoring, or knowledge transfer sessions. Desired Candidate Profile 2-5 years of experience in corporate training or a related field. Strong understanding of artificial intelligence, machine learning algorithms, data science principles, cloud computing platforms (AWS), DevOps practices. Proficiency in programming languages like Python; familiarity with JavaScript is an added advantage. Bachelor's degree in Computers (B.Tech/B.E.) or Electronics/Telecommunication (B.Tech/B.E.).

Key Responsibilities: - Gather and extract data from various databases and sources, ensuring data quality and consistency. - Perform detailed data analysis to uncover trends, patterns, and actionable insights that support business objectives. - Develop predictive models and algorithms to address complex business challenges and forecast outcomes. - Use statistical tools and machine learning techniques to optimize processes and inform strategic initiatives. To provide suggestions and research backed recommendations for adoption of newer tools and available products to enhance data productivity - Design and implement automated dashboards and reporting systems to streamline data insights and accessibility. - Develop automated alert mechanisms to promptly notify relevant stakeholders of significant changes or anomalies. - Collaborate with cross-functional customer experience teams to understand data needs and provide analytical support. - Present findings and recommendations to senior leadership in a clear, concise, and impactful manner. - Lead and manage data science projects from conception to completion, ensuring timely delivery and alignment with organizational goals. - Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation. Qualifications: - Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Experience in data science, analytics, or a similar role, with at least 4-5 years in a leadership or managerial position. - Proven experience in building and deploying machine learning models and automated solutions. Technical Skills: - Proficiency in programming languages such as Python, R, or Java. - Strong SQL skills and experience with data querying and transformation. - Familiarity with big data technologies like Hadoop, Spark, or AWS. - Experience with data visualization tools such as Tableau, Power BI, or similar. - Knowledge of statistical analysis and machine learning frameworks (e.g., scikit-learn, TensorFlow). Soft Skills: - Strong analytical and problem-solving abilities. - Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. - Ability to work collaboratively in a team environment and lead projects with minimal supervision. Preferred Qualifications: - Experience in creating real-time data pipelines and automated alert systems. - Understanding of data governance and compliance practices. - Prior experience in aviation or a customer-centric or high-growth industry is a plus. "At IndiGo, we believe in the innate strength of an energetic, diverse, and inclusive workforce, where the viewpoints and life experiences of our employees help us foster strong connections with all our customers. Our diversity equity and inclusion efforts are designed to attract, nurture, and advance the lives of our employees and customers irrespective of their – but not limited to - gender, race, color, religion, caste, creed, ethnicity, origin, language, social and economic status, sexual orientation, differently-abled status, marital status, nationality, age, family status, and maternity status"

Who are we? We are a leading holistic wellness company, offering personalized healthcare programs to help individuals achieve optimal well-being. Our dedicated team addresses both physical and emotional health, supporting clients in their wellness journeys with empathy and professionalism. We are looking for a hands-on, process-oriented Project Lead to manage our core Operations Tech systems and emerging AI initiatives. This role will act as the execution backbone for critical internal platforms used by our wellness and operations teams, while also enabling our early AI-led automation efforts. Role & responsibilities Lead end-to-end delivery of our internal Ops system in coordination with Human Fractal and internal stakeholders Translate business needs into sprint plans, feature specs, and dev tasks Coordinate execution across AI interns, tech vendors, and internal users Track timelines, ensure quality testing, and manage internal UAT cycles Maintain a clean, documented roadmap with release notes and follow-ups Prioritize tasks based on business impact and user feedback Own early-stage AI use cases (e.g., LLM-based tools, automation pipelines) and ensure smooth integration into workflows Raise risks, unblock delays, and work closely with the CTO for strategy execution Preferred candidate profile 4-6 years of experience in technical project or product delivery Strong familiarity with internal platform development or ERP/CRM systems Ability to work cross-functionally with business, ops, and tech teams Comfort working with technical concepts like APIs, data flows, and user permissions High ownership and clarity in documentation, testing, and release cycles Strong analytical and communication skills to prioritize and make decisions Experience working with external dev agencies or vendors Exposure to AI/ML projects (even as a coordinator or product stakeholder) Experience in healthtech, wellness, or operational-heavy industries Familiarity with project management tools such as Jira

Role: Lead Analyst (Retail Analytics) Exp: 5-10 years Work location: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon Mandatory Skills: SQL + Python + Tableau or PowerBI or Datorama or Looker Studio + Advanced Excel + Statistical Modelling + Retail Analytics Good to have skills: R, SAS, Deep Learning, Artificial Intelligence Interested candidates can share their profiles with bindu@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com

Role: Senior Analyst (Retail Analytics) Exp: 3-8 years Work location: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon Mandatory Skills: SQL + Python + Tableau or PowerBI or Datorama or Looker Studio + Advanced Excel + Statistical Modelling + Retail Analytics Good to have skills: R, SAS, Deep Learning, Artificial Intelligence Interested candidates can share their profiles with bindu@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com

7+ years Python senior developer with Strong 3+ years exp in AI/ML exp . Candidate must have strong hands on exp. on both Python and AI , ML. Candidate must have problem solving skills, as well as development and strong coding exp.

Mandatory Skills - Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps. Requirement- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. E xperience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Interested candidates share your CV at himani.girnar@alikethoughts.com with below details Candidate's name- Email and Alternate Email ID- Contact and Alternate Contact no- Total exp- Relevant experience- Current Org- Notice period- CCTC- ECTC- Current Location- Preferred Location- Pancard No-

Scientific Business Analyst (Specialist) – R&D Omics What you will do Let’s do this. Let’s change the world. This role involves working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements software and infrastructure that enables the capture, analysis, storage, and report of pre-clinical and clinical omics (genomics, proteomics, transcriptomics etc.) data. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Translate complex scientific and technological needs into clear, actionable requirements for development teams Stay updated with industry trends, technological advancements, and scientific progress in Omics techniques, including data generation, processing, and analysis Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentation, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: PhD with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Master’s degree with 4 - 6 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 6 - 8 years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field, OR Diploma with 9+ years of experience in Life Sciences, Computer Science, IT, Computational Biology/Bioinformatics or related field Preferred Qualifications: 4+ years of experience in implementing and supporting biopharma scientific software platforms. Functional Skills: Must-Have Skills: Expertise in Omics data (Genomics, Proteomics, Transcriptomics etc.), oncology data Experience with bioinformatics tools and research workflows used to manage omics data Good understanding of database technology (e.g. RDBMS, Databricks) Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience with cloud (e.g. AWS) and on-premise infrastructure Good-to-Have Skills: Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports Knowledge of handling GxP data and system validation (i.e. GCP) Understanding of AI and machine learning for drug discovery research and preclinical development In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Experience managing vendors, licenses in support of a Product team Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Experience with platforms such as Benchling, or other LIMS Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Scientific Business Analyst (Sr Associate) – Large Molecule Discovery What you will do Let’s do this. Let’s change the world. In this vital role you will involve working closely with Amgen Research partners and Technology peers to ensure that the technology/ data needs for drug discovery research are translated into technical requirements for solution implementation. The role leverages scientific domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for the software development teams. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements and maintains the software and data ecosystem underpinning our Large Molecule Discovery pipeline. You will collaborate with Product Owners and developers to maintain an efficient and consistent process, ensuring quality deliverables from the team. You will implement and manage scientific software platforms across the research informatics ecosystem, and provide technical support, training, and infrastructure management, and ensure it meets the needs of our Amgen Research community. Roles & Responsibilities: Function as a Scientific Business Systems Analyst within a Scaled Agile Framework (SAFe) product team Serve as a liaison between global Research Informatics functional areas and global research scientists, prioritizing their needs and expectations Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations Lead the Large Molecule Discovery technology ecosystem and ensure that the platform meets their requirements for data analysis and data integrity Translate complex scientific and technological needs into clear, actionable requirements for development teams Develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and milestones Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance Develop documentations, communication plans and training plans for end users Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities Ensure operational excellence, cybersecurity and compliance. Collaborate with geographically dispersed teams, including those in the US and other international locations. Foster a culture of collaboration, innovation, and continuous improvement. Basic Qualifications and Experience: Master’s degree with 1 - 3 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Bachelor’s degree with 4 - 6 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Diploma with 7 - 9 years of experience in Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Preferred Qualifications: 3+ years of experience in implementing and supporting biopharma scientific software platforms. Functional Skills: Must-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA. Experience in configuration and administration of LIMS/ELN platforms (e.g. Benchling), Discovery software tools (e.g. Geneious, Genedata Screener) and Instrument Automation and Analysis platforms Experience using platforms such as Spotfire, Tableau, Power BI, etc., to build dashboards and reports and understanding of basic data querying using SQL, Databricks, etc. Good-to-Have Skills: Experience in the implementation of scientific software platforms, Electronic Lab Notebook (ELN), or Laboratory Information Management Systems (LIMS) Knowledge of the antibody discovery design, make, test, and analyze cycle Experience in AI and machine learning for drug discovery research and preclinical development Experience with leveraging LLM tools to accelerate software development processes Experience with cloud (e.g. AWS) and on-premise infrastructure In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Knowledge of business analysis best practices, DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What we expect of you We are all different, yet we all use our unique contributions to serve patients. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Sr Associate Software Engineer - Safety ART - Safety Reporting What you will do Lets do this. Lets change the world. In this vital role you will join a collaborative team implementing and supporting the next generation of safety platforms and supporting technologies. In this role, you will engage with business users and functional SMEs, driving the delivery of innovative technology solutions that enhance business outcomes. Areas of focus will be on leading team performance, delivery management, and facilitating continuous improvement in both technical skills and user experience. Roles & Responsibilities: Work with partners to identify and prioritize system enhancements and new functionalities to meet evolving business needs Lead the day-to-day operations and maintenance of Pharmacovigilance (PV) systems. Lead design & development activities and deploy applications to support pharmacovigilance (PV) system. Overall accountability of technical implementation aspects of projects including planning, architecture, design, development, and testing to follow IS Change Control and GxP validation process. Provide support and consultation to clients or project teams to identify requirements and assist with application configurations and deployments. Monitor operational and performance statistics for managed systems to ensure reliability and availability. Oversee production change control schedule and participates in change control processes. Maintain knowledge of trends in application development frameworks and related new technologies to provide, recommend, and deliver standard methodology solutions. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree with 1 - 2 years of experience in Computer Science, Software Development, IT or related field Or Bachelors degree with 2 - 4 years of experience in Computer Science, Software Development, IT or related field Or Diploma with 5 - 8 years of experience in Computer Science, Software Development, IT or related field Functional Skills: Must-Have Skills: Experienced in database programming languages using SQL. Excellent problem-solving and troubleshooting skills. Collaborative spirit and effective communication skills to seamlessly work in a multi-functional team. Hands-on experience with the ITIL framework. Knowledge of SDLC process, including requirements, design, testing, data analysis, change control. Good-to-Have Skills: Experience with API integrations such as MuleSoft, Data Bricks platforms. Experience with programming languages such as Python. Familiarity with cloud technologies such as AWS, Azure. Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements. Experienced in managing GxP systems and implementing GxP projects. Extensive experience with Software Development Lifecycle (SDLC). Ability to explain technical concepts to non-technical clients. Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Excellent analytical and problem-solving skills Excellent leadership and critical thinking abilities Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Ability to deal with ambiguity and prioritize Ability to influence and drive to an intended outcome Ability to hold team members accountable to commitments Shift Information: This individual contributor position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Equal opportunity statement Apply now Apply now

The Regulatory Data & Systems Senior Associate will be responsible for interpreting and executing business requirements, based on a combination of industry best practice and Amgen regulatory processes. This role involves optimizing complex data systems supporting the health authority submission process, while ensuring compliance with regulatory regulations and guidance. The ideal candidate will have a strong background in system analysis and data science/AI in a regulated industry. Roles & Responsibilities: Data Administration/AI: Optimize and maintain the organization's complex data models, ensuring they are integrated, efficient, and compliant with regulatory requirements. Regulatory Business Analysis: Interpret and implement regulatory requirements, ensuring all systems and processes adhere to relevant regulatory requirements and industry best practices. Project Coordination Assist in planning, tracking, and executing departmental projects and initiatives. Stakeholder Communication: Liaise with internal and external stakeholders to ensure timely and accurate communication regarding regulatory requirements and system updates. Required Knowledge and Skills: Strong interpersonal and teamwork skills, with the ability to interact with business users, technical IT groups, project managers, senior management, outsourced service providers, and vendors. 5+ years' experience as a business analyst, with command of business analysis techniques & tools, as well as SDLC & agile systems development methodologies. Excellent oral and written communication skills; able to organize and present ideas in a convincing and compelling manner. Ability to operate effectively in a matrix environment; team player yet able to work independently with minimal direction. Familiarity with GxP requirements and systems validation. Life Sciences, Biotech or pharmaceutical industry experience. Preferred Knowledge and Skills: Advanced knowledge of Veeva Vault Familiarity with global regulatory processes and standards. Proficiency in Agile methodologies, including Scrum or Kanban, to enhance collaboration, efficiency, and adaptability within an Agile work environment. Basic Education and Experience: Bachelor’s degree and 2 years of directly related experience Associate’s degree and 6 years of directly related experience High school diploma / GED and 8 years of directly related experience Preferred Education and Experience: Practical experience with regulatory data standards, such as IDMP 5+ years’ experience in data management, machine learning, or related fields

What you will do Lets do this. Lets change the world. In this vital role you will as a specialist software engineer, join a collaborative team developing and implementing the next generation of safety platforms and supporting technologies. In this role, you will be responsible for designing, developing and deploying complex software applications, and mentoring junior developers. You will work closely with the business to develop high-quality, scalable and maintainable solutions. Roles & Responsibilities: Design, develop and deploy applications to support pharmacovigilance systems. Develop and maintain solutions to enhance E2E data reconciliation, ensuring consistency and accuracy across systems related to adverse events/product complaints Develop innovative solutions using generative AI technologies including large language models (LLMs) like Open AI GPT for enhanced decision making and drive efficiency Using strong rapid prototyping skills, quickly translate concepts into working code. Conduct code reviews to ensure code quality and consistency to standards. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Identify and resolve technical challenges effectively. Stay informed about industry developments, emerging trends, and standard practices relevant to systems and processes Work with partners to identify and prioritize system enhancements and new functionalities to meet evolving business needs of drug-systems. Find opportunities for automation and process improvements within drug-safety ecosystem. Overall accountability of technical implementation aspects of projects including planning, architecture, design, development, and testing to follow Information Systems Change Control and GxP validation process. Collaborate with the delivery and platform teams to ensure that the applications are aligned with approved architectural and development guidelines. Maintain knowledge of market trends and developments in web application development frameworks and related and new technologies to provide, recommend, and deliver standard methodology solutions. Responsible for supporting technical root cause analysis and work with software vendors to resolve Pharmacovigilance systems related issues. Basic Qualifications and Experience: Masters degree with 4 to 6 years of experience in Computer Science, software development or related field Or Bachelors degree with 6 to 8 years of experience in Computer Science, software development or related field Or Diploma with 10 to 12 years of experience in Computer Science, software development or related field Must-Have Skills: Experienced in database programming languages, data modelling concepts, using SQL and Databricks. Experienced with reporting tools such as Tableau and Power BI. Experienced in one or more general programming languages, including but not limited to: Java or Python. Excellent problem-solving skills and a commitment to resolving challenges. Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements. Extensive experience with SDLC. Collaborative spirit and effective communication skills to seamlessly work in a cross-functional team. An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Experience with Application Programming Interface (API integrations) such as MuleSoft and Extract Transform Load (ETL tools) as Informatica platform, and Databricks. Outstanding ability to explain technical concepts to non-technical clients. Knowledge with ITIL process Support technical implementation aspects of projects including planning, architecture, design, development, and testing to follow Information Systems (IS) Change Control and GxP validation process Demonstrate the ability to make informed technology choices after due diligence and impact assessment. Good-to-Have Skills: 3+ years of experience COTS Pharmacovigilance Platforms (for example Argus) is a plus or other safety database. Experienced in managing GxP systems and implementing GxP projects Experienced with Cloud Technology such as AWS, Azure Experience with DevOps Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements. Professional Certifications: Certified SAFe Agile Software Engineer SAFe for Teams certification (preferred) Soft Skills: Strong verbal and written communication skills Excellent analytical and problem-solving skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to deal with ambiguity and prioritize Team-oriented, with a focus on achieving team goals Ability to influence and drive to an intended outcome and hold peers accountable, and work effectively with global, virtual teams Ability to hold peers accountable to commitments Shift Information This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Apply now for a career that defies imagination . EQUAL OPPORTUNITY STATEMENT We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation .

Sr Associate IS Engineer – Tech Enablement Team Job Posting Title Sr Associate IS Engineer Workday Job Profile Sr Associate IS Engineer Department Name Digital, Technology & Innovation Role GCF 4 ABOUT THE ROLE Role Description: As a Sr Associate IS Engineer, you will join a collaborative team implementing and supporting the next generation of safety platforms and supporting technologies. In this role, you will engage with business users and functional SMEs, driving the delivery of innovative technology solutions that enhance business outcomes. Areas of focus will be on leading team performance, delivery management, and facilitating continuous improvement in both technical skills and user experience. Roles & Responsibilities: Work with partners to identify and prioritize system enhancements and new functionalities to meet evolving business needs Lead the day-to-day operations and maintenance of Pharmacovigilance (PV) systems. Overall accountability of technical implementation aspects of projects including planning, architecture, design, development, and testing to follow IS Change Control and GxP validation process. Provide support and consultation to clients or project teams to identify requirements and assist with application configurations and deployments. Monitor operational and performance statistics for managed systems to ensure reliability and availability. Oversee production change control schedule and participates in change control processes. Stay updated on industry trends, emerging trends and standard processes for PV systems. Maintain knowledge of trends in application development frameworks and related new technologies to provide, recommend, and deliver standard methodology solutions. Support audits and regulatory inspections. Basic Qualifications and Experience: Master’s degree with 1 - 2 years of experience in Computer Science, IT or related field OR Bachelor’s degree with 2 - 4 years of experience in Computer Science, IT or related field OR Diploma with 5 - 8 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills: Experienced in database programming languages, data modelling concepts, including Oracle SQL and PL/SQL. Knowledge of reporting tools such as Tableau, Cognos, Business Objects. Excellent problem-solving skills. Collaborative spirit and effective communication skills to seamlessly work in a cross-functional team. Hands-on experience with the ITIL framework. Good-to-Have Skills: Experience with API integrations such as MuleSoft Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements. Experienced in managing GxP systems and implementing GxP projects Extensive experience with SDLC. Ability to explain technical concepts to non-technical clients Professional Certifications: SAFe® for Teams certification (preferred) Soft Skills: Excellent analytical and problem-solving skills Excellent leadership and critical thinking abilities Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Ability to deal with ambiguity and prioritize Ability to influence and drive to an intended outcome Ability to hold team members accountable to commitments Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Associate Director - Process Excellence and Re-Engineering Specialist (L11) Overview This role is in the newly formed Process Excellence & Transformation function in PepsiCos Strategy & Transformation team focused on driving Process Excellence for prioritized initiatives across mega end to end Business Processes. The objective of the role is to lead process diagnostics and re-engineering to deliver business impact through operations excellence, standardization and automation initiatives across markets including those supported by our global Capability Centers. The role will support end-to-end process transformation roadmaps as well as specific transformation teams to identify continuous improvement opportunities to deliver business value and enhance customer experience. Initiatives will include driving and mentoring Lean Six Sigma projects, process modelling, process mining diagnostics, process automations and statistical analysis for performance variation and benchmarking to enable operations teams and business stakeholders to meet their goals. He / She will operate as internal consultants, working with cross-functional and global teams on multiple projects. They will be expected to have great presentation skills and ability to influence change with senior stakeholders, functional experts, and delivery teams. They may also be required to conduct Lean Six Sigma Kaizen sessions, facilitate Value Stream Mapping and Design Thinking sessions. They will need to work closely with Hyper Automation teams and be adept in Agile and Scrum methodologies. The role will report to senior leaders in the Process Excellence & Transformation team. Responsibilities As well as the above mandatory requirements, we are also looking for candidates with below-differentiating skills, let us know if you have them, to put your profile on top: Business Process Management and process conformance analysis using process modeling. Process Mining, value enablement, and roadmap execution. Task Mining, opportunity identification for standardization and automation Agile project management to support hyper-automation projects. Experience in AI ML projects to drive process analytics and support business outcomes. Experience in change management to ensure project implementation and adoption Qualifications Overall, 15-20 years of experience with at least 8+ years experience in quality / Black belt role Possesses a Lean Six Sigma Black Belt Qualification - preferred Track record of delivering enterprise wide transformation Deep understanding for emerging technologies that support Process Automation Experience working with and influencing senior stakeholders Ability to lead cross-functional projects. Working with tight deadlines.

Overview This individual will support the Sector DX Analytics and Perfect Store BU agendaS helping APAC Perefectstore agenda and leveraging that information to deliver solution for driving actionable insights for the APAC Sector and Key focus on Aus. By partnering with the Sector COEs , spearhead a dynamic team of Data Scientists , Category Management Analysts, PicOs team to drive the seamless execution of Perfect Store DX agenda throughout the sector Enhance operational efficiency and expand our capabilities by implementing cloud-based technologies and advanced visualization suites, ensuring standardized and scalable processes across our operations. Key responsbibilities will be to understand the data availability in different markets, develop solutions using advanced analytics, artificial intelligence, machine learning and deep learning projects to support perfect store agenda Act as the primary point of contact for Markets and Global teams Bring functional-level expertise in perfect store delivery Oversee the end-to-end process, including stakeholder engagement Guide service delivery experts in market calls/meetings, as required Work closely with sector + demand planners on contracting and prioritization Take on execution responsibilities where applicable This role is essential for driving the alignment and execution of the perfect-store initiative across multiple markets, especially as we move towards an E2E delivery model. Responsibilities Primary point of contact for Markets/Global. Responsible for end-to-end oversight, stakeholder engagement, overall delivery Guide service delivery experts for market calls/meetings, wherever required Work closely with sector + demand planner on demand contracting & prioritization Will also have execution responsibilities wherever required Responsible for perfect store models by leveraging advanced analytics, artificial intelligence, and machine learning projects Guide the Data Scince team in technical transalation Execution (Model building-Python based ML ) need basis Advise and share Advanced Analytics models with Sectors and Markets to leverage and build Advanced Analytics capability for all perfect store modules Develop, maintain, and apply statistical models to business questions - including clustering, segmentaion, forecasting etc. Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Model Results presentation to stakeholders Qualifications Masters degree in Business, Marketing, Engineering: MBA a plus Must know how to write SQL and extract data from large and small databases Ability to translate business and technical requirements into non-technical terms Demonstrated experience in handling large data sets and relational databases High-level written and verbal communication skills Provide ad-hoc analysis and deliverables as requested Experience using Python or cloud based model execution ( Azure Dat Bricks, ML Flow ) Results oriented with the ability to complete assignments in a timely manner Proficient in Microsoft Excel and PowerPoint with the ability to quickly learn various in-house applications Detail-oriented with dedication to continuous improvement Essential Ability to work in diverse teams Language skills English business fluent Possess ability to analyze & benchmark competitive scenarios Excellent written and oral communication skills; consistently communicates using appropriate methods for situation and audience in clear, concise and professional manner Ability to work collaboratively and proactively with multi-functional teams Be flexible, organized and able to handle competing priorities Solution-oriented approach to problem solving Depth and breadth of syndicated data analytics and statistical modeling Complete understanding of internal & external data sources that could contribute to analytics roles across service centers Strong analytical thinking with proven ability to connect data & insight from category consumption, brands drivers, macro & micro trends, and future forces of consumer change and deliver clear implications for the business

Role & responsibilities : Job Title : AI Engineer (AI-Powered Agents, Knowledge Graphs, & MLOps) Location: Hyderabad Job Type : Full-time Hands-on Gen AI development in GCP and Azure stack Job Summary : We seek an AI Engineer with deep expertise in building AI-powered agents, designing and implementing knowledge graphs, and optimizing business processes through AI-driven solutions. The role also requires hands-on experience in AI Operations (AI Ops), including continuous integration/deployment (CI/CD), model monitoring, and retraining. The ideal candidate will have experience working with open-source or commercial large language models (LLMs) and be proficient in using platforms like Azure Machine Learning Studio or Google Vertex AI to scale AI solutions effectively. Key Responsibilities : AI Agent Development : Design, build, and deploy AI-powered agents for applications such as virtual assistants, customer service bots, and task automation systems using LLMs and other AI models. Knowledge Graph Implementation : Develop and implement knowledge graphs for enterprise data integration, enhancing the retrieval, structuring, and management of large datasets to support decision-making. AI-Driven Process Optimization : Collaborate with business units to optimize workflows using AI-driven solutions, automating decision-making processes and improving operational efficiency. AI Ops (MLOps) : Implement robust AI/ML pipelines that follow CI/CD best practices to ensure continuous integration and deployment of AI models across different environments. Model Monitoring and Maintenance : Establish processes for real-time model monitoring, including tracking performance, drift detection, and accuracy of models in production environments. Model Retraining and Optimization : Develop automated or semi-automated pipelines for model retraining based on changes in data patterns or model performance. Implement processes to ensure continuous improvement and accuracy of AI solutions. Cloud and ML Platforms : Utilize platforms such as Azure Machine Learning Studio, Google Vertex AI, and open-source frameworks for end-to-end model development, deployment, and monitoring. Collaboration : Work closely with data scientists, software engineers, and business stakeholders to deploy scalable AI solutions that deliver business impact. MLOps Tools : Leverage MLOps tools for version control, model deployment, monitoring, and automated retraining processes to ensure operational stability and scalability of AI systems. Performance Optimization : Continuously optimize models for scalability and performance, identifying bottlenecks and improving efficiencies. Qualifications : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 3+ years of experience as an AI Engineer, focusing on AI-powered agent development, knowledge graphs, AI-driven process optimization, and MLOps practices. Proficiency in working with large language models (LLMs) such as GPT-3/4, GPT-J, BLOOM, or similar, including both open-source and commercial variants. Experience with knowledge graph technologies, including ontology design and graph databases (e.g., Neo4j, AWS Neptune). AI Ops/MLOps Expertise : Hands-on experience with AI/ML CI/CD pipelines, automated model deployment, and continuous model monitoring in production environments. Familiarity with tools and frameworks for model lifecycle management, such as MLflow, Kubeflow, or similar. Strong skills in Python, Java, or similar languages, and proficiency in building, deploying, and monitoring AI models. Solid experience in natural language processing (NLP) techniques, including building conversational AI, entity recognition, and text generation models. Model Monitoring & Retraining : Expertise in setting up automated pipelines for model retraining, monitoring for drift, and ensuring the continuous performance of deployed models. Experience in using cloud platforms like Azure Machine Learning Studio, Google Vertex AI, or similar cloud-based AI/ML tools. Preferred Skills : Experience with building or integrating conversational AI agents using platforms like Microsoft Bot Framework, Rasa, or Dialogflow. Familiarity with AI-driven business process automation and RPA integration using AI/ML models. Knowledge of advanced AI-driven process optimization tools and techniques, including AI orchestration for enterprise workflows. Experience with containerization technologies (e.g., Docker, Kubernetes) to support scalable AI/ML model deployment. Certification in Azure AI Engineer Associate, Google Professional Machine Learning Engineer, or relevant MLOps-related certifications is a plus. Preferred candidate profile Perks and benefits

Actuarial - GI - Pricing - Deputy Manager - RNA Full-time Company Description About The Role RolePricing General Requirements: Knowledge of mathematics, probability, statistics and Commercial Insurance business. Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches) Mandatory Requirements: Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies. Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools. Should have built pricing tools/raters on Excel. Should have knowledge on Frequency, Severity modelling and Loss cost modelling. Additional good to have requirements: Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macros Knowledge of ST-8 General Insurance Pricing Actuarial science would be preferable Work experience on GLM modelling Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage. Screening parameters: Work experience in General Insurance Pricing Knowledge on Pricing Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves) Cleared or appeared for Actuarial Science exam- ST-8General Insurance Pricing Modelling (Frequency & Severity modelling) using Emblem/R/SAS/Python Qualifications Proficient in predictive analytics methodology and its use in the insurance industry. Experienced in use of R, Python, and other open-source languages. Familiarity with Willis Towers Watson modeling software preferred. Working knowledge of P&C insurance marketplace. Knowledge and understanding of best practices and the competitive landscape. Job Location Cookies Settings

Digital Transformation Consultant Full-time Company Description WNS (Holdings) Limited (NYSEWNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence. . Our global footprint spans 16 countries with 61 delivery centers worldwide including in China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, United Kingdom and the United States. About The Role Key Responsibilities: Process and Technology Consulting for BFS clients to transform their current operations using key technology levers like RPA , BPM, Analytics , Artificial Intelligence and ML and custom solutions. Work with Operations teams to identify reengineering opportunities upstream and downstream to streamline processes end to end by applying a structured, fact based, and disciplined methodology to influence Business Outcomes of BFS clients. Create and embed a continuous improvement framework focused on performance by diagnosing process improvement opportunities through research & analysis of data including customer journey mapping and business process mapping. Experience in front-line business consulting, presales support, crafting solutions, responding to RFXs and delivering presentations to management teams as part of service provider organizations Advocate for new ideas and process improvements to close gaps, reduce manual efforts, and enhance the customer experience. Interact with clients, perform data analysis, assess processes and systems, and make recommendations on client initiatives. Build and manage project plans, create and run project portfolio management efforts, and work to become a trusted advisor to senior-level client staff Work cross functionally with sales, transition, operations, service and back office functions to improve processes throughout the business. Inform, influence, negotiate & persuade internal/external stakeholders in relation to digital transformation initiatives Desired Skills and Experience: 7-10 years of experience with a major consulting firm or 7 years of experience in a corporate role delivering strategy and operations projects for BFS clients with an emphasis in business transformation at the intersection of new operating models and new digital technologies Expert at Lean/Sigma, Process reengineering and Customer Journey mapping Well versed with newer solutions like RPA, BPM, Analytics, Artificial Intelligence, Chatbots, etc. Proficient in MS-Excel (VBA), PowerPoint and Data Visualization Tools such as Tableau, Power BI etc. Excellent program management skills including developing project plans, resourcing and budgeting projects, and managing a disciplined execution methodology with both internal (direct) and external (indirect) team members. Ability to analyze financial and operational data and synthesize findings in common business language. Good Domain understanding is desirable Ability to work with leaders in a matrix organization Excellent business writing and presentation & communication skills. Superior organization skills with the ability and desire to balance multiple projects of varying complexity at the same time. Qualifications Graduate or MBA Cookies Settings