632 Neo4J Jobs - Page 12

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: We are seeking an entry level AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Assist in developing AI-driven solutions using LLMs and RAG (Retrieval-Augmented Generation). Integrating APIs like OpenAI or LLama. Support the design and testing of AI-enhanced workflows. Implement database interactions (MySQL or PostgreSQL for structured data). Write and optimize Python/Node.js scripts for the applications. Assist in developing production-grade ML models to enhance customer experience, content recommendation, content generation. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Requirements 1 - 3 years of experience in AI/ML engineering. Strong programming skills in Python (FastAPI, Flask) or Node.js. Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai, LangChain, LlamaIndex). Familiarity with RESTful APIs and Graph Databases (Neo4j, ArangoDB). Basic understanding of cloud platforms (AWS, Azure, GCP). Passion for AI, NLP, and chatbot development. Familiarity with MLOps platforms, such as Kubeflow or MLFlow. Familiarity with one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Bonus: Knowledge of UI frameworks (React, Next.js). Good to have – Qdrant or equivalent vector databases. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Hi All , We have immediate openings for Below Requirement Role : Hadoop Administration Skill : Hadoop Administrator(with EMR, Spark, Kafka, HBase, OpenSearch, Snowflake, Neo4j, AWS) Experience : 4 to 9yrs Work location : Hyderabad Interview Mode : 1sr round virtual & 2nd round F2F Notice Period : 15 to immediate joiners only Interested candidates can share your cv to Mail : sravani.vommi@sonata-software.com Contact : 7075751998 JD FOR Hadoop Admin: Hadoop Administrator(with EMR, Spark, Kafka, HBase, OpenSearch, Snowflake, Neo4j, AWS) Job Summary: We are seeking a highly skilled Hadoop Administrator with hands-on experience managing distributed data platforms such as Hadoop EMR, Spark, Kafka, HBase, OpenSearch, Snowflake, and Neo4j. Key Responsibilities: Cluster Management: Administer, manage, and maintain Hadoop EMR clusters, ensuring optimal performance, high availability, and resource utilization. Handle the provisioning, configuration, and scaling of Hadoop clusters, with a focus on EMR, ensuring seamless integration with other ecosystem tools (e.g., Spark, Kafka, HBase). Oversee HBase configurations, performance tuning, and integration within the Hadoop ecosystem. Manage OpenSearch(formerly known as Elasticsearch) for log analytics and large-scale search applications. Data Integration & Processing: Oversee the performance and optimization of Apache Spark workloads across distributed data environments. Design and manage efficient data pipelines between Snowflake, Kafka, and the Hadoop ecosystem, ensuring seamless data movement and transformation. Implement data storage solutions in Snowflake and manage seamless data transfers to/from Hadoop(EMR) and other environments. Cloud & AWS Services: Work closely with AWS services such as EC2, S3,ECS, Lambda, IAM, RDS, and CloudWatch to build scalable, cost-efficient solutions for data management and processing. manage AWS EMR clusters, ensuring they are optimized for big data workloads and integrated with other AWS services. - Security & Compliance: Manage and configure Kerberos authentication and access control mechanisms within the Hadoop ecosystem (HDFS, YARN, Spark) to ensure data security. Implement encryption and secure data transfer policies within Hadoop clusters, Kafka, HBase, and OpenSearch to meet compliance and regulatory requirements. Manage user roles and permissions for access to Snowflake and ensure seamless integration of security policies across platforms. Monitoring & Troubleshooting: Set up and manage monitoring solutions to ensure the health of the Hadoop ecosystem and related components. Actively monitor and troubleshoot issues with Spark, Kafka, HBase, OpenSearch, and other distributed systems. Provide proactive support to address performance issues, bottlenecks, and failures. Automation & Optimization: Automate the deployment, scaling, and management of Hadoop and other big data systems using scripting languages (Bash, Python) . Optimize the configurations and performance of EMR, Spark, Kafka, HBase, OpenSearch. Develop scripts and utilities for backup, job monitoring, and performance tuning.

Hii We are hiring for contract job Location: Remote Budget: 120k Experience:6 yrs : Data Engineer (Graph RAG, Vector RAG, GenAI) 6+ yrs An offshore AI engineer who will design and build and Retrieval Augmented Generation (RAG) and Graph RAG. Ability to implement a vector RAG pipeline, plus a pilot knowledge graph (Neo4j/Tiger Graph/Neptune) proving Graph RAG viability. Implement GenAI architecture (vector+graph retrieval, ranking, grounding), fine tune LLMs, and ensure security/compliance. Experience in AI / Machine Learning / Data Science, LLM powered apps; proven RAG and Graph RAG delivery; Python, graph-DB query languages, and MLOps. Address troubleshooting and performance issues like hallucination, latency, and drift. 11:00 am to 8 pm (Candidate has to be flexible, may require overlap EST as per project need) An offshore AI engineer who will design and build and Retrieval Augmented Generation (RAG) and Graph RAG. Ability to implement a vector RAG pipeline, plus a pilot knowledge graph (Neo4j/Tiger Graph/Neptune) proving Graph RAG viability. Implement GenAI architecture (vector+graph retrieval, ranking, grounding), fine tune LLMs, and ensure security/compliance. Experience in AI / Machine Learning / Data Science, LLM powered apps; proven RAG and Graph RAG delivery; Python, graph-DB query languages, and MLOps. Address troubleshooting and performance issues like hallucination, latency, and drift.

Greetings from Colan Infotech!! Role - Data Scientist Experience - 3-10 Years Job Location - Chennai/Bangalore Notice Period - Immediate to 30 Days Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM Secondary Skills Needed : Keras, OpenCV, Azure or AWS Job Description:- Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j Interested candidates send updated resume to kumudha.r@colanonline.com

Hiring Data modeler for one of the global consulting firm for Pan India location. Experience - 4-10 years This role works with business analysts, business stakeholders and technical personnel to translate business data requirements into data models and related data artefacts, which will form the basis of solutions which meet and fulfil the business requirements. This role reports to the Lead Data Modeller. Tasks include: ∙Producing Conceptual, Logical and Physical Data Models and related artefacts to specified standards ∙Producing Entity Relationship Diagrams and specifying and documenting the relationships between entities, specifying and documenting the data attributes for each entity ∙Data Vault modelling knowledge and experience ∙Agreeing entity and attribute definitions with the respective stakeholders ∙Producing Data Ontologies and Class Diagrams ∙Generating data model schema scripts, using data modelling tools, from Physical Data Models ∙Simultaneously being part of several project teams in order to allow multiple projects to proceed at pace concurrently ∙Contributing to data modelling framework design discussions regarding items such as the design and use of Reference Data ∙Investigating and providing estimates for data modelling work and, reporting progress to-date ∙Working with Business SME and Technical staff to identify the data sources to be used to meet the business requirements ∙Data mapping: The identification, specification and documentation of data mappings and the associated transformations in order to move data from the source systems, through the data warehouse layers where appropriate and, to present the data to authorised end users ∙The clarification and documentation of business rules and data transformations with technical colleagues and business users (who may be members of senior management) ∙Working with Database Administrators (DBA’s) and information service designers to ensure the physical implementation meets the functional and non-functional requirements Skills & Experience: ∙Build data flows and develop conceptual data models Internal ∙Create logical and physical data models using best practices to ensure high data quality and reduced redundancy ∙Optimise and update logical and physical data models to support new and existing projects ∙Maintain conceptual, logical and physical data models along with corresponding metadata ∙Develop and maintain best practices for standard naming conventions and coding practices to ensure consistency of data models ∙Recommend opportunities for reuse of data models in new environments ∙Perform reverse engineering of physical data models from databases (Oracle, Microsoft Azure) and SQL scripts ∙Good knowledge and experience of metadata management, data modelling, and related tools (Erwin or ERStudio or others) required ∙Good understanding if graph modelling (neo4J, Star Dog or similar) ∙Should have good SQL scripting knowledge to perform reverse engineering activities ∙Examine new application design and recommend correction wherever applicable

Software Tech lead Job Description Environment: We are seeking an experienced Tech lead with expertise in React, Redux, TypeScript, and a range of other web technologies to join our dynamic team . At Schneider Electric, you’ll have the chance to work on exciting projects such as BuswayFAST and LayoutFAST. These projects are part of DCES Energy Management group. BuswayFAST is an up-and-coming 3D application built in Typescript using React, Redux and ThreeJS. This application helps create Busway systems to aid Electrical Specifiers in creating a whole system from A-Z. The system is then broken up into parts, supplying the end user with a Bill of Materials, cost and a detailed drawing for the electricians on the field. LayoutFAST is a handy tool developed in Javascript, Typescript, React and Redux. It’s purpose is to make it easy to configure complex products such as Control Panelboards, Lineup systems and more! Check it out at http://layoutfast.se.com Responsibilities: Demonstrate excellent Leadership, hands on Technical, Design & Architecture skills and lead the team to arrive at optimal architectural design/ solutions for business challenges. Able to distill complex technical challenges and requirements to actionable and explainable decisions. Lead the Technical team for driving the strategic agenda for product and platform development. Ability to work with Software Architect, Engineering Manager, Product Owner and Dev team. Delivery planning and defining of milestones, prioritize initiatives and decides on right allocation of resources to meet project delivery and business commitments. Identify risk to projects and plan for actions to mitigate them. Escalate any kind of risks in a timely manner to ensure that the right stakeholders are informed well in time. Demonstrated ability to rapidly learn new and emerging technologies and vision of technology transformation developing a vision of their suitability and role as a new product within a platform & product landscape Work closely with Dev, QA and DevOps teams to understand the build, release, branching and versioning requirements for code and database. Deliver the ability to scale via automation at all levels. Maintain a conscious level of cyber security during all aspects of development by working closely with central cyber security teams. Mandatory Skills: This is an individual contributor role and you are expected to code for at least 80% of the time. Solid understanding of the modern application patterns & deployment methods. Minimum of 12 years of Strong Experience in Software Engineering, Enterprise Architecture and Design, and hands on Technical skills (Java, data base designs) with the ability to guide developers for the optimal solution around technical challenges. Should have experience on Java, Spring (ORM, Security, MVC, AOP). Should have experience on Experience on data intensive applications built with SQL/NoSQL DBs and designed data schema. Experience on building microservices based application integrations using REST and API gateways. Should have experience on Relational Database (SQL, PL/SQL) and NoSQL like Cassandra, Apache Ignite, Neo4j or Elasticsearch. Good to have experience with cloud solutions (AWS, Azure, Google Cloud Platform etc.) Should have knowledge of Continuous integration and continuous deployment (CD/CI) using Git and Jenkins or Azure DevOps. Delivery using modern methodologies especially SAFe Agile, Iterative Excellent analytical skills applied in a practical environment. Well organized, disciplined approach to work with a high level of attention to detail Strong work ethics with high level of self-motivation Experience in working in large cross functional projects and product development. Strong ability to navigate across teams to resolve challenges. Develop and maintain web applications using React, Redux, TypeScript, and JavaScript. Integrate C# components into the existing system for enhanced functionality. Utilize 3D Operations technologies such as ThreeJS, Babylon, Unity, etc., to create immersive experiences. Work with REST APIs to fetch and manipulate data for the frontend. Leverage NoSQL databases to manage and query large datasets efficiently. Proficiency in ThreeJS for 3D operations and visualization. Experience with Revit and knowledge of Autodesk Forge API. Familiarity with Azure Functions, Azure CosmosDB, and Azure BLOB storage for cloud-based solutions. Strong understanding of 3D Operations using technologies like ThreeJS, Babylon, Unity, etc. Proficiency in working with REST APIs and NoSQL databases. Knowledge of Azure services (Azure Functions, Azure CosmosDB, Azure BLOB storage) is a plus. Experience in electrical circuit design and analysis is desirable. Agile/Scrum certification is a bonus. Electrical Circuit Knowledge Qualifications: Bachelor's degree in Computer Engineering. 12+ years of experience in Full Stack Development with expertise in React, Redux, TypeScript, JavaScript, and C#. Primary Location : IN-Karnataka-Bangalore Schedule : Full-time Unposting Date : Ongoing

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About The Role: We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, i.e. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Responsibilities 4 - 8 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open-source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About The Role We are seeking an entry level AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities Assist in developing AI-driven solutions using LLMs and RAG (Retrieval-Augmented Generation). Integrating APIs like OpenAI or LLama. Support the design and testing of AI-enhanced workflows. Implement database interactions (MySQL or PostgreSQL for structured data). Write and optimize Python/ Node.js scripts for the applications. Assist in developing production-grade ML models to enhance customer experience, content recommendation, content generation. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up to date with the latest in machine learning and artificial intelligence and influence AI/ML for the Life science industry. Requirements 1 - 3 years of experience in AI/ML engineering. Strong programming skills in Python (FastAPI, Flask) or Node.js . Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai , LangChain, LlamaIndex). Familiarity with RESTful APIs and Graph Databases (Neo4j, ArangoDB). Basic understanding of cloud platforms (AWS, Azure, GCP). Passion for AI, NLP, and chatbot development. Familiarity with MLOps platforms, such as Kubeflow or MLFlow. Familiarity with one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Bonus: Knowledge of UI frameworks (React, Next.js ). Good to have – Qdrant or equivalent vector databases. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Job Description As a Solutions Architect in the Autonomous Network domain, you will play a key role in shaping innovative solutions for customers, acting as their trusted advisor. You'll work closely with stakeholders to understand their unique needs and translate them into practical, high-impact solutions. In this role, you'll design and deliver end-to-end solutions tailored to customer requirements, leveraging Nokia’s cutting-edge portfolio along with third-party products when needed. You'll apply industry best practices and architectural standards to ensure long-term technical integrity, helping customers achieve their business goals with confidence. How You Will Contribute And What You Will Learn Develop a Requirement Definition Document (RDD), High-Level Design (HLD), and Low-Level Design (LLD). Stay updated on customer architecture within the dedicated technical area and regional requirements. Apply solution architecture standards, processes, and principles. Define and develop the full scope of solutions, collaborating across teams and organizations to create effective outcomes. Work effectively in diverse environments, leveraging best practices and industry knowledge to enhance products and services. Serve as a trusted advisor and mentor to team members, providing guidance on projects and tasks. Drive projects with manageable risks and resource requirements or oversee small teams, managing day-to-day operations, resource allocation, and workload distribution. Act as a key troubleshooter and subject matter expert on the Autonomous product portfolio, including fulfillment, assurance, inventory, security, and analytics. Key Skills And Experience You have: Bachelor’s degree in engineering/technology or equivalent with 10+ years of hands-on experience in autonomous networks driving large programs, and should have worked as an Architect/Designer for at least 5 years. Experience in at least one or two domains like Orchestration/fulfillment/Flowone/NoRC; Assurance/NAC; InventoryUIV, Discovery and Reconciliation domain; SSO/Security product suites/NIAM; Analytics Hands-on experience in Java, “expect scripting”, Python, Kubernetes, Microservices, Databases, XML, XSLT, Data Parsing, etc. Exposure to Oracle, Postgres, MongoDB, MariaDB, Neo4J, containerization, orchestration tools, agile methodologies It would be nice if you also had: Understanding of 5G Slicing, 5G SA/NSA network, IP/MPLS, Optics, IMS, VoLTE, NFV/SDN, Fixed network Independent, disruptive thinker with a results-oriented mindset and strong communication skills. Ability to work in a fast-paced global environment in collaboration with cross-cultural teams and customers. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. About The Team As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.

A strong level of proficiency in python programming. Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask, PySpark,Pytorch,tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Hands on experience in Analytics/AI-ML AWS services like Sagemaker, Canvas, Bedrock. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS. Understanding business needs / mapping it to the business processes. Hands on experience in agile project delivery. Good in conceptualizing and visualizing end to end business needs both at high level as well as detailed. Good in articulating the business needs. Good analytical and problem-solving skills. Good communication, listening and probing skills. Strong inter-personnel skills. Should collaborate with other team members and work as team. Job Description: Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j. Preferred Certification: (Good to have) AWS Specialty Certification in Data Analytics, Machine Learning.

We are looking for immediate job openings on#Neo4j Graph Database _Chennai_Contract Skills: Neo4j Graph Database#Exp 3+ Years#Location Chennai#Notice PeriodImmediate#Employment Type:ContractJOB Description: Build Knowledge Graph solutions leveraging large-scale datasets Design and build graph database schemas to support various use cases including knowledge graphs Design and develop a Neo4j data model for a new application as per the use cases Design and build graph database load processes to efficiently populate the knowledge graphs Migrate an existing relational database (BigQuery) to Neo4j Build design/integration patterns for both batch and real-time update processes to keep the knowledge graphs in sync Work with stakeholders to understand the requirements and translate them into technical architecture Select and configure appropriate Neo4j features and capabilities as applicable for the given use case(s) Optimize the performance of a Neo4j-based recommendation engine Set up a Neo4j cluster in the cloud Configure Neo4j security features to protect sensitive data Ensure the security and reliability of Neo4j deployments Provide guidance and support to other developers on Neo4j best practices QualificationsMinimum 3+ years of working experience with knowledge graphs/graph databases Expertise with Graph database technology especially Neo4J Expertise with Python, and related software engineering platforms/frameworks Experience in designing and building highly scalable Knowledge Graphs in production Experience developing APIs leveraging knowledge graph data Experience with querying knowledge graphs using a graph query language (e.g. Cypher) Experience working with end-to-end CI/CD pipelines using frameworks The ideal candidate will have a strong knowledge of Graph solutions especially Neo4j, Python and have experience working with massive amounts of data in the retail space. Candidate must have a strong curiosity for data and a proven track record of successfully implementing graph database solutions with proficiency in software engineering.

Join us as a Domain Architect in the Autonomous Network domain and be a part of our success journey! In this role, youll have an opportunity to shape innovative solutions and make a real impact. As an advisor, youll work closely with stakeholders to address their unique needs and translate them into practical, high-value solutions. With a focus on industry best practices and architectural excellence, you'll help customers achieve their business goals with confidence, while growing your expertise in a dynamic, forward-thinking environment. Join us and be a part of something extraordinary! You have: Bachelors degree in engineering/technology or equivalent with 10+ years of hands-on experience in autonomous networks driving large programs, and should have worked as an Architect/Designer for at least 5 years. Experience in at least one or two domains like Orchestration/fulfillment/Flowone/CDPA/CDFF/NoRC; Assurance/NAC; InventoryUIV, Discovery and Reconciliation domain; SSO/Security product suites/NIAM; Analytics Hands-on experience in Java, Expect scripting, Python, Kubernetes, Microservices, Databases, XML, XSLT, Data Parsing, SNMP, REST, SOAP, CORBA, LDAP, JMS, and FTP. Exposure to Oracle, Postgres, MongoDB, MariaDB, Neo4J, containerization, orchestration tools, agile methodologies It would be nice if you also had: Understanding of 5G Slicing, 5G SA/NSA network, IP/MPLS, Optics, IMS, VoLTE, NFV/SDN, Fixed network Independent, disruptive thinking with a results-oriented mindset and strong communication skills. Ability to work in a fast-paced global environment with cross-cultural teams and customers. Develop a Requirement Definition Document (RDD), High-Level Design (HLD), and Low-Level Design (LLD). Stay updated on customer architecture within the dedicated technical area and regional requirements. Apply solution architecture standards, processes, and principles. Define and develop the full scope of solutions, working across different teams and organizations to create effective outcomes. Work effectively in diverse environments, leveraging best practices and industry knowledge to enhance products and services. Serve as an advisor and mentor to team members, guiding projects and tasks. Lead projects with manageable risks and resource requirements or oversee small teams, managing day-to-day operations, resource allocation, and workload distribution. Act as a key troubleshooter and subject matter expert on the Autonomous product portfolio, including fulfillment, assurance, inventory, security, and analytics.

In this role, you will play a key role in shaping innovative solutions for customers, acting as their trusted advisor in autonomous network domains like Orchestration/fulfillment/Flowone/CDPA/CDFF/NoRC; Assurance/NAC; InventoryUIV, Discovery and Reconciliation; SSO/Security product suites/NIAM; Analytics. You'll work closely with stakeholders to understand their unique needs and translate them into practical, high-impact solutions. If you have a flair for crafting smart, customer-focused solutions, this role is for you ! You'll design and deliver end-to-end architectures using Nokias cutting-edge portfolio (and beyond) to help customers achieve their goals with confidence and long-term technical integrity. You have: Bachelors degree in engineering/technology or equivalent with 10+ years of hands-on experience in autonomous networks driving large programs, and should have worked as an Architect/Designer for at least 5 years. Experience in at least one or two domains like Orchestration/fulfillment/Flowone/CDPA/CDFF/NoRC; Assurance/NAC; InventoryUIV, Discovery and Reconciliation; SSO/Security product suites/NIAM; Analytics. Hands-on experience in Java, expect scripting, Python, Kubernetes, Microservices, Databases, XML, XSLT, Data Parsing, SNMP, REST, SOAP, CORBA, LDAP, JMS, and FTP. Exposure to Oracle, Postgres, MongoDB, MariaDB, Neo4J, containerization, orchestration tools, and agile methodologies. It would be nice if you also had: Understanding of 5G Slicing, 5G SA/NSA network, IP/MPLS, Optics, IMS, VoLTE, NFV/SDN, Fixed network. Been a independent, disruptive thinker with a results-oriented mindset and strong communication skills. Ability to work in a fast-paced global environment in collaboration with cross-cultural teams and customers. Develop a Requirement Definition Document (RDD), High-Level Design (HLD), and Low-Level Design (LLD). Stay updated on customer architecture within the dedicated technical area and regional requirements. Apply solution architecture standards, processes, and principles. Define and develop the full scope of solutions, collaborating across teams and organizations to create effective outcomes. Work effectively in diverse environments, leveraging best practices and industry knowledge to enhance products and services. Serve as a trusted advisor and mentor to team members, providing guidance on projects and tasks. Drive projects with manageable risks and resource requirements or oversee small teams, managing day-to-day operations, resource allocation, and workload distribution. Act as a key troubleshooter and subject matter expert on the Autonomous product portfolio, including fulfillment, assurance, inventory, security, and analytics.

Basic understanding of machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Knowledge of neural network architectures, particularly in areas like Transformers and basic deep learning models. Familiarity with Python programming and essential ML libraries (NumPy, Pandas, Scikit-learn). Exposure to NLP (Natural Language Processing) concepts and basic text processing tasks. Some experience with cloud platforms (AWS, GCP, or Azure) for deploying simple AI models. Understanding of basic databases and their integration with AI systems (NoSQL or SQL databases). Soft Skills: Strong eagerness to learn and adapt to new technologies in the AI and machine learning field. Ability to work under guidance and collaborate within a team environment. Good problem-solving abilities and analytical thinking. Effective communication skills to discuss technical issues and progress with the team. Education and Experience: Bachelor’s degree in computer science, Data Science, Artificial Intelligence, or related fields. 2-4 years of experience in machine learning, AI, or related areas (internships or academic projects are a plus). Preferred Skills (Nice-to-Have): Exposure to basic machine learning deployment tools or practices. Familiarity with any vector databases (ChromaDB, Pinecone, Weaviate, Milvus, FAISS) or graph databases (Neo4j, TigerGraph). Interest in generative AI or graph-based AI solutions. Involvement in open-source projects or personal contributions to machine learning communities. Understanding of ethical AI principles or data privacy basics. Role SummaryAs a Junior Machine Learning Developer, you will be part of a dynamic team working on cutting-edge AI and machine learning solutions. This role offers an exciting opportunity for a motivated individual to learn and grow their skills in a fast-paced, collaborative environment. You will assist senior developers in developing, testing, and deploying AI models, while gaining hands-on experience with machine learning frameworks and real-world AI applications.

Working as a Data Scientist at Verisk means: Being part of and contributing to a large, vibrant community Understanding problems and designing solutions for the P&C Insurance industry. Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, Voice and Speech Analytics, and Generative AI to develop solutions to those business problems Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, or 90%+ of Insurance Claims in the US Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis Working with cutting-edge technology, and continuously developing new skills and capabilities. A degree in a quantitative field with relevant experience: Bachelor's (3–5 years) or Master's (1–2 years), or PhD (0–2 years). Strong programming skills, particularly in R and Python. Extensive experience in one or more of the following skills is essential: Predictive Modeling, Entity Resolution, NLP, and Generative AI. Experience in any of the following skills is a plus: Big Data Platforms, Time-Series Forecasting, Graph Databases, Network Analytics, Neural Networks, Computer Vision, and ASR (Automated Speech Recognition). Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases. Domain knowledge in the insurance industry is an added advantage. Ability to solve problems analytically and creatively. Strong communication (written and oral) skills. For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice

: Job Title Data Science_AI Engineer , AVP LocationBangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI ApplicationsUtilize frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language ModelsCustomize LLMs and SLMs using domain-specific data to improve performance and relevance in specialized applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-FunctionallyWork with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimize AI WorkflowsEmploy MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 10+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs, and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. For internal use only Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e- commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for crossfunctional collaboration. Ability to work independently and manage multiple projects simultaneously. How well support you

Location Chennai, Tamil Nadu, India Job ID R-230132 Date posted 26/06/2025 Job Title: Director- Data & Analytics Engineer GCL - F Introduction to role: As the Director of Data & Analytics Engineering, you'll be at the forefront of revolutionizing how competitive intelligence is created, shared, and consumed within AstraZeneca. Through Connected Insights, we are making our data Findable, Accessible, Interoperable, and Re-usable (FAIR). You'll architect solutions that ensure unstructured data is readily available for AI applications, using innovative technologies like vector databases and knowledge graphs. Your leadership will guide a team of dedicated engineers in developing scalable data solutions and database enhancements for large-scale products. Are you prepared to drive innovation and excellence in data engineering? Accountabilities: 1. Data Platform Design and Implementation Design and implement advanced data capabilities, including auto ingestion, data cataloguing, automated access control, lifecycle management, backup & restore, and AI-ready data structures. Implement vector databases and knowledge graphs to support AI and machine learning initiatives. 2. AI-Focused Solution Architecture Collaborate with AI Engineering leads and Architects to design AI-ready data architectures. Analyze data requirements for AI applications, modeling both structured and unstructured data sources. 3. ETL and Data Processing Implement optimal ETL workflows using SQL, APIs, ETL tools, AWS big data technologies, and AI-specific techniques. Develop processes to prepare data for AI model training and inference. 4. AI Integration and Technical Leadership Lead technical deliveries across multiple initiatives, focusing on integrating AI capabilities into existing data solutions. Provide technical feedback on design, architecture, and integration of AI-enhanced data sourcing platforms. 5. Collaborator, Teamwork and Problem Solving Liaise with technical infrastructure teams to resolve issues impacting AI application performance. Engage with architects, product owners, and business stakeholders to ensure efficient engineering of AI-driven data solutions. 6. Agile Project Management Lead a dedicated Data pod including managing backlogs, sprints, and planning. Collaborate with product pods to help them meet their deliveries. 7. Standards and Best Practices Define data engineering and AI integration standards in collaboration with architects and AI Engineering leads. Establish standard processes for managing AI model versioning and data lineage. 8. Quality Assurance and Documentation Test, document, and quality assess new data and AI solutions. Implement robust testing frameworks for AI models and data pipelines. 9. Research and Development Explore emerging AI technologies and drive their integration into existing data infrastructure. 10. Technical Problem Solving and Innovation Adopt a "can-do" approach to technical challenges related to AI integration. Coach team members on solving complex AI and data engineering problems. 11. Team Leadership and Development Build and support your team through hiring, coaching, and mentoring. Foster a culture of continuous learning in AI and data technologies. 12. Code and Design Quality Perform regular quality checks of both data engineering and AI-related code. Guide engineers on design patterns emphasizing AI-specific considerations. 13. Data Interoperability and FAIR Principles Lead initiatives to enhance data interoperability through rich metadata. Ensure all data solutions align with FAIR principles. 14. Knowledge Graph Development Be responsible for the design, implementation, and maintenance of knowledge graphs using Neo4j. Integrate knowledge graphs with AI applications to enhance data context. Essential Skills/Experience: Must have a B.Tech/M.Tech/MSc in Computer Science, Engineering, or related field. Experience in leading data engineering teams to deliver robust and scalable data products, with a focus on preparing datasets for AI/ML use cases. Deep expertise in the AWS data engineering ecosystem (SNS, SQS, Lambda, Glue, S3, EMR, log management, AWS containers, EC2, EBS, access control, data streaming, AWS CLI & SDK, backup & restore, etc). Excellent programming skills in Python or Java, including Object-Oriented Programming, and proficiency with Airflow, Apache Spark, source control (GIT), and versioning. Extensive experience in designing, building, and optimizing large-scale data pipelines, including ingestion, transformation, and orchestration using tools such as Airflow. Familiarity with Snowflake tools and services. Hands-on experience with metadata management and the application of controlled vocabularies and ontologies to ensure data interoperability and discoverability. Working knowledge of vector databases and implementing semantic search capabilities for unstructured and semi-structured datasets. Strong understanding of data modelling concepts, SQL (including advanced SQL), and database design—especially for unstructured and semi-structured data (XML, JSON). Experience designing data cataloguing, auto-ingestion, automated access control, lifecycle management, backup & restore, and other self-service data management features. Exposure to software engineering CI/CD processes, including implementation of automated testing, build, release, deployment, containerization, and configuration management. Experience using JIRA, Confluence, and other tools to manage Agile and SAFe project delivery. Strong communication, teamwork, and mentoring skills, with the ability to build, coach, and guide high-performing data engineering teams focused on AI/ML objectives. Desirable Skills/Experience: Demonstrated experience in developing knowledge graphs (e.g., with Neo4j) and making data AI-ready for Retrieval-Augmented Generation (RAG) and Generative AI (GenAI) applications. When we put unexpected teams in the same room, we fuel ambitious thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, you'll find yourself at the heart of innovation where impactful work meets large-scale transformation. We connect across the business to influence patient outcomes positively while driving pioneering change towards becoming a digital enterprise. Collaborate with leading experts using innovative techniques to turn complex information into practical insights that improve lives globally. Our inclusive team grows with diversity—bringing together different functions to decode business needs effectively. Here is where you can raise your personal profile through publishing work or showcasing your achievements. Ready to make a difference? Apply now to join our dynamic team! Date Posted 27-Jun-2025 Closing Date 20-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Software Developer (Golang Developer) Work experience between 2 years to 6 years in building large scale high user traffic consumer facing applications. Extremely proficient at writing performant, scalable and production ready code in Golang (comfortable with concepts like lambda, streams, multithreading etc) Should be at ease with writing neat and maintainable code. Experience with NoSQL DBs like MongoDB, Cassandra or Redis is required. Knowledge of graph DBs like Neo4j is preferred. Strong in algorithms, problem solving and data structures. Knowledge of TDD and experience with building applications integrated with CI-CD pipelines (automated build, tests and deployments). Exposure to micro-services with good understanding of logging and monitoring. Inter services communication. Should know how to handle multiple versions of APIs. Knowledge of Docker and Kubernetes is desirable. Willing to work in a fast paced Startup. What Are We Looking For We're looking for a deeply skilled Senior Software Developer to work closely with the product and the open source community to build the Coredge.io vision. You'll join a highly collaborative team working along with talented engineers focusing to be the best in Cloud native ecosystem. Experience of software design & development with strong understanding of software development principles; proficient in Golang, writing testable code. Good knowledge of cloud technologies (e.g. AWS/GCP), and DevOps tools (e.g. GIT, Bitbucker, Jenkins etc.) with ability to handle performance issue, scalability issues, and reliability. Well versed in Agile methodologies, and data processing pipelines. It is also advantageous to have good knowledge on SRE concepts (e.g. SLOs/SLIs, error budget, anti-fragility, etc.). Knowledge on APM tools (e.g. Dynatrace, AppDynamics, Datadog) and log monitoring tools (e.g. Sumologic, Splunk etc.) is also desirable. Collaborative and excellent verbal and written communication skills especially when building playbooks and documentation processes (ref:hirist.tech)

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: Neo4j Graph Database. Experience5-8 Years.

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: Neo4j Graph Database. Experience5-8 Years.

At Zame AI, we're on a mission to redefine how businesses grow and compete in the ever-evolving landscape. As a cutting-edge AI startup, we are building powerful AI agents that automate and optimise key business functions like customer engagement, market analysis, lead generation, and workflow optimisation. As an AI/ML Engineer at Zame AI, you will be responsible for building scalable, cutting-edge AI-powered solutions that drive business transformation. Your expertise in neural networks, pattern recognition, and algorithm design will help us deliver the next generation of AI agents. Responsibilities Design and develop scalable, production-grade AI agents using LangGraph, tool calling, and prompt engineering Ensure agent performance and reliability through comprehensive testing Stay at the forefront of generative AI, implementing latest models and techniques Collaborate with cross-functional teams to deliver innovative AI solutions Qualifications 2+ years of software engineering experience, with 1+ year in LLM-powered systems Expertise in LangSmith and LangChain framework Deep Python expertise and production deployment experience Strong understanding of Git and test-driven development Bonus AWS deployment experience Experience with Flask/FastAPI and REST APIs Familiarity with Postgres, Neo4j, and vector stores Why Zame AI ? Competitive compensation with equity plan Growth opportunity as a founding engineer Collaborative and inclusive culture Apply here - https://www.zame.ai/careers/ai-ml-engineer-founding

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking a seasoned Engineering Manager (Data Engineering) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. You will be responsible for the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs. Roles & Responsibilities: Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems. Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets. Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments. Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements. Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows. Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls. Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis. Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives. Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes. Mentor and develop a high-performing team of data operations analysts and leads. Functional Skills: Must-Have Skills: Experience managing a team of data engineers in biotech/pharma domain companies. Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems. Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions. Experience managing data workflows in cloud environments such as AWS, Azure, or GCP. Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions. Working knowledge of SQL, Python, or scripting languages for process monitoring and automation. Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization. Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX). Excellent leadership, communication, and stakeholder engagement skills. Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools. Strong analytical and problem-solving skills to address complex data challenges. Effective communication and interpersonal skills to collaborate with cross-functional teams. Good-to-Have Skills: Data Engineering Management experience in Biotech/Life Sciences/Pharma Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc. Education and Professional Certifications Any Degree and 9-13 years of experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting 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 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.

Job role: BA or Solution Design Experience Knowledge of Network Design principles (planning, implementation, maintenance), network protocols/topologies/devices, security protocols/ threat analysis/ best practices, network troubleshooting techniques/ tools Knowledge of Network automation, optimization, programming skills, cloud computing Experience in preparing HLD's, architecture flow diagrams, and helping development team in implementation and queries Understanding of SDLC and Agile Methodologies Exposure to DBMS (PostgreSQL, MySQL, etc./ Graph-based SQL knowledge like Neo4j is a plus) Working knowledge of Microservices, interfaces like KAFKA, RESTful APIs CI/CD pipelines knowledge preferred (tools like Jenkins, JIRA, git, sonarqube, nexus, etc.)

Job Description: Job Description About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Job Description Development Build cutting FinTech solutions for banking, front office trading, and risk across all segments of the global market. These include award winning web & mobile applications, data science and analytics, complex event processing, cloud solutions, low latency applications, and responsive experiences. Low latency electronic trading including algorithmic trading Complex derivatives and structured products trading Real time and intra-day risk including Monte Carlo simulations, climate risk valuations Auto-hedging and portfolio optimizations Intelligent automation of trade processing including applied robotics Intelligent anti-money laundering and fraud detection Real time cash flow predictive modelling Modernization of global real time payments Digital Banking Assistants and enhanced BOT capabilities Design and architect solutions based on requirements or based on your innovative ideas Develop software in agile and iterative cycles using continuous improvement tools and techniques Work with global development teams and business partners across USA, UK, Europe and Asia Pacific including quants, strategists, traders, and risk managers. Test software using test driven development and embedded QA teams We work on cutting edge technologies like AI, Machine Learning, Hadoop, Python, Scala, Pega, .NET, Java, Angular, TOSCA, selenium, React, Cassandra, memSQL, Tableau, ETL among several others Testing ( Functional & Technical) Specialist in discovering the unexpected & bring confidence in software Good at problem solving and quantitative skills Verify that the application meets all functional business requirements Ensure that all component changes are tested against areas impacted and that solutions work from an integration/operations perspective Include the scope, test cycles, risks, regression testing approach, environment requirements, data requirements, metrics, and work plan Develop test conditions and build test scripts based on functional design specifications and the test approach Confirm the architectural stability of the system with a focus on functional, load testing, fail-over/recoverability and operational testing. In some systems will also monitor, measure, and optimize individual and combined hardware and/or software components for optimal performance Perform unit testing and component integration testing Design and Develop Technical Test Approach, Load Tests, Fail-over and Recoverability Tests and Operational Tests Document and execute Test Scripts & report the execution progress Identify & escalate stoppers / concerns /issues to the project management team early. Ability to work as a team player in an agile way of working. Serve as a quality gatekeeper for the application releases. Opportunity to validate the applications using latest tools & technologies like Selenium, Appium, Lettuce, Cucumber, UFT, qTest, LoadRunner, SOA Tester, TOSCA, Java , Python ,VBScript & JIRA Risk Management As a Risk Management Analyst, you will be an integral part of our control function, focusing on areas such as Cloud Governance, Model Governance, Risk and Controls, Issue Management, and Cyber Security. This entry-level role is designed for recent graduates who are passionate about risk management and eager to contribute to a dynamic and fast-paced environment. Cloud Governance: Support the implementation and monitoring of cloud governance frameworks. Ensure that cloud-related risks are identified, assessed, and mitigated in accordance with company policies. Model Governance: Assist in the governance of financial and operational models by ensuring they are properly validated, documented, and aligned with industry standards and regulatory requirements. Risk and Controls: Contribute to the identification, assessment, and mitigation of operational risks across the organization. Assist in the development and maintenance of controls to manage these risks effectively. Issue Management: Support the tracking, reporting, and resolution of risk-related issues. Collaborate with stakeholders to ensure timely and effective issue remediation. Review the sustenance of the controls implemented as part of the issue remediation and report the gaps to management. Cyber Security: Participate in the identification and assessment of cybersecurity risks. Assist in the implementation of controls and monitoring mechanisms to protect against cyber threats. Infrastructure Operations This role is responsible for developing and delivering software to accomplish business goals. Key responsibilities of the role include ensuring that software is developed to meet functional/non-functional requirements, coding solutions, and unit testing. These individuals are aware of the development practices of the bank. Contribute to story refinement/defining requirements. Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle. Understand and utilize basic architecture components in solution development. Code solution and unit test to deliver a requirement/story per the defined acceptance criteria. Execute automated test suites (integration, regression, performance); collect results and flag issues. Document and communicate required information for deployment, maintenance, support, and business functionality. Adhere to team delivery/release process and cadence pertaining to code deployment and release. Solution Design, Test Engineering, DevOps and Release Automation, Application & Architecture We work on cutting edge technologies like Java, Python, Ansible, ReactJS, OpenShift, Active Directory Infra Ops, Linux, Middleware, Java, Dotnet, Hadoop, Informatica, Tableau and many other technologies. Production Support This role is an entry level to multiple technology positions. Performs commoditized activities which may include monitoring, event management, service requests, and engineering. Technical Analysts will build foundational experience in network, systems, application, access requests, production support, or security engineering. Manages and prioritizes assigned tasks Executes procedures reliable, responds with urgency, and escalates appropriately to senior team members Opens triage bridge line, updates bridge board, engages teams as required Monitoring all installed systems and infrastructure Maintains solutions that are aligned to security, redundancy, and archiving blueprints and strategies Supports client on boarding Proactively ensures the highest levels of systems and infrastructure availability within a technical domain Responsible for event management and request fulfilment Supports change activities Writes and maintains documentation Production Support, Solution Design, DevOps Practices & Automation, App & Infrastructure Architecture We work on cutting edge technologies like Java, Python, Ansible, ReactJS, MicroStrategy, Hadoop, Informatica, Tableau, SQL, OpenShift, Cloud Computation and many other technologies. Infrastructure Operations Production support, problem and incident management This includes direct responsibility for production support, problem and incident management, operational change, as well as service and program delivery. Also supporting vertical functions (Release, Deployment & Environment Management, Application Integration & Engineering) to deepen concentration stability and innovation. Individual is expected to work in production services and will play an individual contributor role to understand stakeholder’s expectations & objectives and drive outcomes. Support Services include event management, handling batch, Start of day and end of the day checks and status updates, incident timely escalations and work with key stakeholder on restoration, weekend/holiday support Application Monitoring - Respond to alerts & incidents, and escalate in a timely manner Understand the basic functionality of Business and its dependent upstream and downstream requirements – work with key stakeholders to ensure that the business queries are answered and resolved within defined SLA Working to resolve problems and incidents of varying complexity to enable smooth operation Self-motivated to further enhance the stability and performance of the production management environment Understands effects of IT Architecture on production performance, tuning queries, auto sys batch job scheduling/monitoring Provide status reporting of all production issues and should be able to provide regular, ad-hoc status reports to management as required Build good relationship with Business users, CIO/Dev partners and other support teams. Good team player and can work independently Cyber Security Defense and Assessment Front face for Cyber Security events, incidents and an all-rounder in technical & operational support Regular analysis of Cyber Security information Replying to general Cyber Security queries Assist in Cyber Security investigation Supporting Identity and Access Management Identify vulnerability in Cyber Security which requires remediation Recording and responding to Cyber Security events and incidents in timely fashion Review, monitor and maintain Cyber Security controls and their implementation Auditing of systems, services and processes against policy, best practice and standards in a methodical and clearly documented fashion Opportunity to work on different Cyber Security tools, like DLP products, Data Classification tools, Splunk, SIEM tools eg. ArcSight etc Identity & Access Management (IAM) IAM addresses the mission-critical need to ensure appropriate access to the resources across increasingly heterogeneous technology environments, and to meet increasingly rigorous compliance requirements. Provides provisioning services and break/fix support related to access management for hundreds of applications, Windows platforms, Mainframe and Midrange platforms. Contributes to provide consulting, subject matter expertise, control management, risk mitigation, and oversight related to Authentication, MFA and Privileged Access Management. Governance & monitoring of the human and nonhuman identity lifecycle. Password complexity & rotation and Access Certification Services. Provides support on Access Bundling and Business Rule Engines (BRE) Enables service support and provides subject matter expertise for many of the IAM tools and services such as; ARM/ DDAR, CSDB, Dormancy, PCAT, STR/STP Conducts data analytics and data engineering activities to provide businesses with IAM insights and reduce organizational risk. Provides platform operations and security engineering for the iSeries platform including maintenance, problem mgmt. & security solutions. Opportunity to work on different cutting edge technologies & tools like Machine Learning/Deep Learning/Artificial Intelligence, Python, Tableau, NEO4J, LDAP, Active Directory / ARS, Splunk, RACF, BRE etc.. Cyber Security Technology Responsible for defining, documenting, and publicizing strategic roadmap for various cyber security technology stacks for Bank of America Contributing to the development of innovative software capabilities to secure Bank products using DevSecOps pipelines and automation Participating in rapid prototyping and product security software research and development projects Innovating new software-based capabilities to secure software containers from internal and external cyber-attacks by being able to detect, respond, and recover without human intervention or mission degradation Participating in the development of algorithms, interfaces and designs for cyber-secure and resilient software systems Performing collaborative design & development with other engineers and suppliers Joining a team performing cyber risk assessments and developing risk mitigation plans Performing analysis of systems and components for risks, vulnerabilities, and threats Supporting incident response and mitigation Monitor networks for security breaches and investigate a violation when one occurs Develop security standards and best practices Assist with maintaining a strong cybersecurity posture Assist in developing new policies, design processes, and procedures, and develop technical designs to secure the development environment and trainer systems Assess system vulnerabilities, implement risk mitigation strategies, and validate secure systems, and test security products and systems to detect security weakness We work on cutting edge technologies like Machine Learning, Hadoop, Python, Scala, Pega, .NET, Java, Angular, React, Cassandra, Tableau, ETL and among several others with exposure to web application security and secure platform development Core Security Monitoring security alerts, analyzing potential threats, and responding to security incidents Investigating cyber incidents, collecting digital evidence, and analyzing data to determine the source and impact of security breaches Conducting automated and manual scans to discover known vulnerabilities and misconfigurations Conducting vulnerability assessments and recommending security solutions. Identifying potential vulnerabilities in systems, networks, applications, and devices Conducting penetration tests to assess the organization's security posture. Conducting all testing within ethical boundaries and legal frameworks, obtaining proper authorization, and adhering to responsible disclosure practices Mimicking the tactics, techniques, and procedures (TTPs) used by real-world threat actors Designing and overseeing the implementation of secure systems, applications, and networks. Ensuring that security measures are integrated into the architecture Collecting, analyzing, and interpreting cyber threat intelligence data to anticipate and respond to potential threats Investigating cyber incidents, collecting digital evidence, and analyzing data to determine the source and impact of security breaches Reverse-engineering applications to understand their inner workings and potential attack vectors Assessing the security of web applications by identifying injection flaws, cross-site scripting (XSS), cross-site request forgery (CSRF), and other vulnerabilities Campus Hiring Eligibility for students is as listed below: Final year Graduates from the Class of 2024 ONLY Must Have Major Specialization in Computer Science & Information Technology ONLY Must have scored 60% in the last semester OR CGPA of 6 on a scale of 10 in the last semester No Active Backlogs in any of the current or prior semesters Students should be willing to join any of the roles/skills/segment as per company requirement Students should be willing to work in any shifts/night shifts as per company requirement Students should be willing to work in any locations namely – Mumbai, Chennai, Gurugram, Gandhinagar (GIFT), Hyderabad as per company requirement