6702 Machine Learning Jobs - Page 46

As a Technical Consultant at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise We are seeking a highly skilled and experienced IIoT (Industrial Internet of Things) Engineer with a strong focus on OPC UA (Unified Architecture) and companion specifications, as well as expertise in edge computing. The ideal candidate will play a crucial role in designing, implementing, and maintaining IIoT solutions that enhance the efficiency, reliability, and security of industrial operations Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. Implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. Experience in optimizing AI algorithms for performance and scalability. Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems effectively. Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure. Proven ability to contribute to the development and improvement of AI frameworks and libraries. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Deliver AI agents and automated solutions that remove repetitive work performed by the tribe supporting the Corporate Mobile Service Plan (CMSP). Partner with the CMSP team member across the countries, discover and prioritize CMSP processes and procedures to be automated, taking advantage of the vast amounts of data, and delivering on Watsonx. Build the required data models and leverage Watson Orchestrate and Watson Assistant to simplify processes and eliminate tedious tasks. Use both readily available data, such as in the CMSP dashboard, eAMT, Mobile@IBM, IBM Publisher, and other sources to drive faster decision making and increased end user self-service. Innovate, simplify and automate processes to improve the CMSP user experience. Explore the user requests that require intervention, where answers are not in Publisher or in the individuals subscriber account in the CMSP dashboard. Automate the resolution of complex requests. Work includes: Understanding and addressing user and business requirements including technology, integration, security, and privacy Planning, analyzing, designing, and constructing databases in alignment with CIO-TPT strategy Designing, developing, testing, and delivering apps and features using Watsonx.data, Code Assistant, Orchestrate and Assistant; Java; C++; JavaScript; Python; Perl; and SQL, as needed Configuring, testing, deploying, and supporting of code that enables simplified and automated workflows Performing problem determination to address problem root cause and application of preventative measures to prevent or mitigate problem recurrence Identifying opportunity to modernizing applications using state of the art technologies, software project management tools, and methodologies Partnering with colleagues across the CIO organization, such as Identity Services and others to ensure solution design is in alignment with CIO strategies and architectures Partnering with suppliers of CMSP services to deliver a seamless, integrated enterprise mobile offering Keeping up with developments in the AI solutions space and software project management spaces to continue to grow and deepen skills and apply leading future-proof solutions Maintaining consistency with global CMSP standards, including design and content of CMSP country Publisher pages Providing support to, and collaborating with, other CMSP Product Owners globally to maintain alignment Delivering effective technical presentations to stakeholders, including leaders, articulating value, dependencies, business implications to have clarity for non-technical team members Achieving OKRs and KPI parameters, e.g.: enabling cost reduction, maintaining a security-compliant device portfolio, zero or very few stock lines, etc. Performing in alignment with IBM Growth Behaviors Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Skills Requirements: Software Design & Engineering Machine Learning & Data Science Database Systems Data Structures & Visualization Watsonx Code Assistant, Watonx.data, Watsonx Orchstrate, Watsonx Assistant IBM Granite Models Java JavaScript Python Php Ability to collaborate in a global environment

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the worlds technology leader. Come to IBM and make a global impact Responsibilities: Responsible to manage end to end feature development and resolve challenges faced in implementing the same Learn new technologies and implement the same in feature development within the time frame provided Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Tableau Desktop & Server SQL, Oracle & Hive, Communication Skills, Project Management Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics. Ability to query and display large data sets while maximizing the performance of workbook. Ability to interpret technical or dashboard structure and translate complex business requirements to technica Preferred technical and professional experience Tableau Desktop & Server SQL ,Oracle & Hive

Position Overview: We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow About Virtana: Virtana delivers the industry s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana s software solutions for over a decade. Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. Company Profitable Growth and Recognition In FY2023 (Fiscal year ending January 2023), Virtana earned: Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue Positive Cash Flow, 171% YoY cash flow growth You can schedule with us through Calendly at https: / / calendly.com / bimla-dhirayan / zoom-meeting-virtana

Job Title - Application Security Engineer About Tazapay Tazapay is a cross border payment service provider. They offer local collections via local payment methods, virtual accounts and cards in over 70 markets. The merchant does not need to create local entities anywhere and Tazapay offers the additional compliance framework to take care of local regulations and requirements. This results in decreased transaction costs, fx transparency and higher auth rates. They are licensed and backed by leading investors. www.tazapay.com Whats exciting waiting for you This is an amazing opportunity for you to join a fantastic crew before the rocket ship launch. It will be a story you will carry with you through your life and have the unique experience of building something ground up and have the satisfaction of seeing your product being used and paid for by thousands of customers. You will be a part of a growth story in securing critical financial applications that handle cross-border payments. We believe in a culture of openness, innovation great memories together. About the Application Security Engineer Role As an Application Security Engineer, you will be responsible for ensuring the security of our payment applications throughout their entire development lifecycle. You will work closely with development teams to identify, assess, and remediate security vulnerabilities in web applications, mobile apps, and APIs that process sensitive financial data across 70+ markets. Key Responsibilities Application Security Assessment Testing Conduct comprehensive security assessments of microservices-based applications built with GoLang, Java, or Scala Perform security reviews of Vue.js and ReactJS frontend applications and their interaction with backend services Execute manual and automated web application penetration testing using industry-standard methodologies (OWASP Testing Guide, PTES) Conduct vulnerability scoring and risk assessment using CVSS framework and custom business impact metrics Utilize govulncheck for Go-specific vulnerability detection and dependency analysis in GoLang microservices Deploy Semgrep/OpenGrep for static code analysis across multiple programming languages and frameworks Integrate Gitleaks for automated secret detection and credential scanning in source code repositories Execute static application security testing (SAST) and dynamic application security testing (DAST) across the entire stack Conduct penetration testing and vulnerability assessments on payment processing applications and microservices Perform web application penetration testing including authentication bypass, authorization flaws, injection attacks, and business logic vulnerabilities Review and analyze code for security vulnerabilities with focus on microservices communication patterns and frontend security Assess API gateways, service meshes, and inter-service authentication mechanisms Implement and maintain automated security testing tools in CI/CD pipelines for both frontend and backend components Secure Development Lifecycle (SDLC) Integrate security practices into the software development lifecycle Collaborate with development teams to implement secure coding practices Conduct security architecture reviews and threat modeling sessions Provide security requirements and guidelines for new application features Establish and maintain application security standards and best practices Vulnerability Management Identify, prioritize, and track application security vulnerabilities across multiple technologies Implement comprehensive vulnerability scoring using CVSS v3.1, OWASP Risk Rating, and custom business impact assessments Develop risk scoring matrices that incorporate technical severity, business impact, and exploitability factors Utilize govulncheck for proactive Go vulnerability management and dependency tracking Deploy Gitleaks for continuous secret detection and credential exposure prevention Implement Semgrep/OpenGrep for custom vulnerability pattern detection and policy violations Create detailed penetration testing reports with executive summaries, technical findings, and remediation roadmaps Establish vulnerability SLA metrics and track remediation timelines based on risk scores Work with development teams to remediate identified security issues Maintain vulnerability management processes and ensure timely resolution Perform risk assessments and provide recommendations for vulnerability mitigation Monitor and respond to emerging application security threats Create and maintain security metrics and KPIs for vulnerability remediation Security Tools Automation Implement and manage application security scanning tools (SAST, DAST, IAST) Deploy govulncheck for continuous Go vulnerability monitoring in GoLang microservices Integrate Gitleaks for automated secret scanning across development workflows and CI/CD pipelines Configure Semgrep/OpenGrep rules for custom security pattern detection and policy enforcement Develop and maintain security automation scripts and tools Integrate security tools into development workflows and CI/CD pipelines Evaluate and recommend new application security technologies and solutions Create custom security rules and policies for language-specific vulnerabilities Automate security testing for containerized applications and microservices Compliance Documentation Ensure applications comply with financial industry regulations (PCI DSS, PSD2, etc.) Maintain security documentation, procedures, and incident response plans Support compliance audits and security assessments Create and deliver application security training for development teams Required Qualifications Experience 4+ years of experience in application security, with focus on web and mobile applications Strong experience securing microservices architectures, particularly those built with GoLang, Java, or Scala Hands-on experience with frontend security for modern JavaScript frameworks (Vue.js, ReactJS) Extensive experience in web application penetration testing including OWASP Top 10, business logic flaws, and authentication/authorization bypasses Proven expertise in vulnerability scoring and risk assessment using CVSS, OWASP Risk Rating, and custom scoring methodologies Proven experience with security automation tools: govulncheck (Go vulnerability scanning), Gitleaks (secret detection), Semgrep/OpenGrep (static analysis) Experience with application security testing tools (Burp Suite, OWASP ZAP, Veracode, Checkmarx, etc.) Hands-on experience with penetration testing and vulnerability assessment Experience with secure code review and static/dynamic analysis tools Knowledge of common web application vulnerabilities (OWASP Top 10) and microservices-specific security challenges Technical Skills Proficiency in backend programming languages with strong focus on GoLang, Java, or Scala for microservices architecture Experience with frontend frameworks, particularly Vue.js and ReactJS for modern web applications Advanced proficiency with security tools: govulncheck (Go-specific vulnerability detection), Gitleaks (credential scanning), Semgrep/OpenGrep (multi-language static analysis) Expert-level web application penetration testing skills using tools like Burp Suite Professional, OWASP ZAP, Nuclei, and custom exploitation frameworks Comprehensive knowledge of vulnerability scoring frameworks including CVSS v3.1, OWASP Risk Rating Methodology, and FAIR (Factor Analysis of Information Risk) Experience with automated penetration testing tools and frameworks for continuous security validation Strong understanding of microservices security patterns and inter-service communication Experience with API security testing and assessment (REST, GraphQL, gRPC) Knowledge of mobile application security (iOS/Android) Familiarity with cloud security (AWS, Azure, GCP) Understanding of database security and secure data handling Experience with containerized applications and orchestration platforms Security Knowledge Deep understanding of application security principles and best practices Expert knowledge of web application penetration testing methodologies (OWASP Testing Guide, PTES, NIST SP 800-115) Advanced understanding of vulnerability scoring and risk quantification using industry-standard frameworks Knowledge of security frameworks and standards (OWASP, NIST, ISO 27001) Experience with threat modeling and risk assessment methodologies Understanding of cryptography and secure communication protocols Knowledge of authentication and authorization mechanisms Expertise in manual testing techniques for complex business logic vulnerabilities Experience with penetration testing reporting and executive communication of security risks Nice to Have Certifications Relevant security certifications (CISSP, CEH, CSSLP, GWEB, OSCP) Cloud security certifications (AWS Security, Azure Security) Additional Skills Experience with DevSecOps practices and tools Advanced proficiency in securing distributed microservices ecosystems Experience with modern frontend build tools and security (Webpack, Vite, npm/yarn security) Expertise in Go ecosystem security including govulncheck integration and dependency management Advanced configuration and customization of Semgrep/OpenGrep rules for organization-specific security policies Experience with Gitleaks integration across multiple Git workflows and CI/CD platforms Advanced web application penetration testing including thick client applications and complex multi-tier architectures Experience with custom exploit development and proof-of-concept creation for business logic vulnerabilities Expertise in creating comprehensive risk scoring models that align technical findings with business impact Knowledge of container security (Docker, Kubernetes) Experience with financial services and payment processing security Familiarity with regulatory compliance (PCI DSS, GDPR, PSD2) Experience with bug bounty programs and responsible disclosure Knowledge of machine learning/AI security Experience with service mesh security (Istio, Linkerd) and API gateway security Key Abilities and Traits Technical Excellence: Demonstrated ability to identify and remediate complex application security vulnerabilities across diverse technology stacks. Collaboration: Strong ability to work effectively with development teams, translating security requirements into actionable development practices. Communication: Excellent verbal and written communication skills, capable of explaining security concepts to both technical and business stakeholders. Problem-Solving: Strong analytical and problem-solving skills with the ability to think like both a defender and an attacker. Continuous Learning: Commitment to staying current with emerging application security threats, tools, and best practices. Detail-Oriented: Meticulous attention to detail when reviewing code and assessing application security. Project Management: Ability to manage multiple security assessments and projects simultaneously while meeting deadlines.

About Us Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The company s Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com Our opportunity: As a Data Engineer , you ll partner with business, finance, and IT to build BI products and services for reporting, data visualization, and ad hoc analytics. You ll help to bring alignment to Automation Anywhere s data model and formalize its data dictionary. You ll also help to establish the necessary governance to manage and maintain the Company s data model, dictionary, and lineage. You ll partner with IT teams who own core data infrastructure, security, privacy services that BI platform will rely on. You will make an impact by being responsible for: Delivering business capabilities through technology enablement including data warehousing, data analytics visualizations. Leading data workstreams with cross-functional business stakeholders like Sales, Marketing, IT, Product Finance Partnering with cross-functional teams to drive BI and analytics initiative Effective communication of project scopes, timing, prioritization, budgets, resource needs, and progress on an ongoing basis Driving development and delivery of reporting features, analytics, unit economics, and KPIs through sprint planning, and production releases Helping to design and build schemas that will underpin BI data warehouse Developing and maintaining governance structure over data model and data dictionary Ensuring lineage of data used in the production of unit economics, KPIs, and other financial and nonfinancial metrics Driving adoption of BI platform and features through the organization of demo days, user training sessions, launch updates, etc. You will be a great fit if you have: BS in computer/data science degree or equivalent Minimum 7 years of engineering experience delivering solutions/products related to data infrastructure at scale Strong SQL skills and experience working with relational databases and distributed systems Experience with at least one programming language for data analysis (e.g. Python or R) Experience with an ETL frameworks, data modeling and data architecture Experience with data visualization platforms like Tableau Hands-on, end-to-end understanding of analytics from descriptive to predictive analytics including machine learning across data ingestion, preparation, development, and end user adoption You excel in these key competencies: Solid interpersonal skills with proven ability to develop and maintain effective business partner relationships Demonstrated track record of collaborating with high performing cross-functional teams Demonstrated ability to think strategically framing business issues to data warehousing solutions Demonstrated ability to communicate complex analyses clearly and concisely to leadership team via presentation Demonstrated ability to manage multiple tasks and projects, prioritize, and adapt to a changing environment Must be willing to roll up sleeves and get work done - a productive contributor to detailed content, with a strong sense of accountability and ownership Why Automation Anywhere At our company each person brings their unique talents to work as a team and make a difference. As the leader in Robotic Process Automation (RPA), we provide a very compelling product where our teams are breaking new ground every day and given an environment to grow their skills and have fun along the way. Our technology is the game changer, and our people give us the edge to better our world and go be great!

We are seeking a skilled Data Scientist with strong Python, machine learning, and data visualization expertise. You’ll work on predictive modeling, performance optimization, and integrate marine engineering concepts into scalable digital solutions.

Job Title: Senior AI/ML Developer Work Mode: On-site Work Environment & Schedule: Full-time | Day Shift: Monday to Friday (No weekends or on-call duties) The position offers a modern, ergonomic workspace equipped with adjustable seating and proper lighting to support comfort and productivity throughout the day. Screen setups are optimized to ensure a healthy and comfortable working experience. Position Overview We are seeking a highly skilled Senior AI/ML Developer to lead the development of advanced machine learning solutions focused on medical data summarization. You will build systems that convert complex, unstructured healthcare data such as electronic health records (EHRs), clinical notes, and imaging reports into accurate, structured summaries that improve decision-making and streamline patient care. Key Responsibilities Design, train, and deploy NLP and ML models for summarizing medical records, physician notes, lab data, and radiology reports. Develop end-to-end ML pipelines for medical data ingestion, preprocessing, information extraction, and summarization. Fine-tune transformer-based models (e.g., BERT, BioBERT, ClinicalBERT, GPT, LLaMA) for domain-specific NLP tasks. Apply techniques such as named entity recognition (NER), relation extraction, summarization, and prompt engineering. Collaborate with clinical informatics experts, data engineers, and product managers to ensure models are clinically relevant and accurate. Evaluate model performance with healthcare-specific metrics (e.g., ROUGE, BLEU, clinical accuracy). Ensure solutions meet HIPAA and other healthcare data privacy and security standards. Mentor junior team members and review code and ML solutions for performance and compliance. Skills Required Bachelors/Masters Degree or equivalent research/industry experience. Experience with clinical NLP tools (e.g., cTAKES, MedSpaCy, MetaMap). Familiarity with MLOps tools and workflows (MLflow, DVC, Airflow). Publications or contributions to open-source projects in medical AI. Prior work on medical summarization, LLM fine-tuning, or clinical decision support systems. Education and Experience Bachelor's or Masters in Computer Science, Data Science, Biomedical Engineering, or a related field. 3+ years of experience in machine learning, with a focus on NLP or medical AI. Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers. Experience with healthcare data formats and standards (e.g., HL7, FHIR, ICD-10, SNOMED CT). Strong foundation in deep learning, transformers, and sequence models. Experience deploying models to production environments (cloud, containers, APIs). Familiarity with privacy and compliance frameworks (HIPAA, GDPR in medical contexts). Benefits Paid Sick leave, Casual leave, compensatory leave and Fixed Week offs Statutory Benefits (PF),Health Insurance and Employee Reward Program Paid Parental leaves based on the company norms (Maternity & Paternity) To help Employees Children Education support Holidays based on India & US Certification assistance and career growth opportunities Opportunities to work on real-world healthcare problems that impact lives At LezDo , youll be part of a supportive and collaborative team environment that values communication, teamwork, and shared accountability in delivering high-quality results. Why Join Us At LezDo, were committed to supporting our employees professional growth and well-being. Join a team that values precision, collaboration, and compassion. Ready to Apply? If you're passionate about healthcare data accuracy and want to make a meaningful impact, we encourage you to apply today. LezDo is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Step into a role of Assistant Manager - Fraud Analytics, where you ll take responsibility for client service and operational execution task. You must take responsibility for controlling risk and enhancing controls in connection to your job and areas of responsibility in accordance with rules and regulations. You must follow well defined procedures that may require a range of job routines and make judgement based on practice and previous experience. To thrive in this role, you ll need some previous experience in: Bachelor s degree or equivalent in quantitative field of study (master s candidate is good to have). Candidate possessing data and analytical experience with problem solving skills. Ability to perform and handle multiple workstreams with deadline driven environment. Working knowledge of SAS, SQL, and Microsoft Excel. Relevant industry experience. Effective communication skills - fluent in English written and spoken. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the banks data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

An AI Data Scientist at IBM is not just a job title - its a mindset. Youll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Overview Company data team (CDO) of MSCI is responsible for the processing, maintenance, and quality control of various Issuer level data points pertaining to Fundamental data (Balance sheet, Income statement & Cashflow), Segment Data and GICS assignment to the company. These datapoints and the derived ratios based on these data in turn serve as inputs to its various products related to Equity, Fixed income and ESG & Climate of MSCI. The Fundamental Data (FD) Team within the Company Data vertical is responsible for maintaining and improving our large sets of fundamental data. They help keep our data accurate and expand our coverage using financial knowledge, AI, machine learning, and technical skills like Python, Power BI, and SQL. As a member of this dynamic team, you will be responsible for Maintain and improve large data sets,identifying opportunities to automate and optimize manual processes, fostering a culture of continuous improvement. You will guide your peers in leveraging automation to streamline operations and deliver tangible results. If you’re passionate about AI , thrive in a fast-paced, self-driven environment, and want to leave a lasting impact on the business, this is the perfect role for you. We seek a highly skilled member with Strong understanding of financial concepts, corporate events, and data certification, a proven track record in developing large-scale, reliable platforms from the ground up, not just applications or solutions. Experience in delivering multiple successful versions of platforms over time is a key advantage. You’ll collaborate closely with teams across product , research , operations , and program management , ensuring that the platforms you build are not only built to last but deliver immediate and long-term value. This is a highly visible and impactful role that offers the opportunity for long-term growth within MSCI . Responsibilities Your Responsibilities Take lead in creating data validation process to maintaing and improve large data sets. To find panic areas where processes can be improved and automated through advanced AI tools and programming solutions. Spearhead key projects aimed at upgrading outdated systems, introducing innovative methods to boost operational performance. Offer support and guidance to colleagues in utilizing tools such as Python, Power BI, SQL, and machine learning to enhance the team's technical capabilities. Partner with various teams, including product development, research, and operations, to ensure cohesive project execution and solution delivery. Contribute to the creation and implementation of reliable, scalable systems that meet both immediate needs and long-term goals. Encourage ongoing assessment of existing processes and recommend new strategies to improve operational efficiency and effectiveness. Use data analytics and visualization techniques to support informed decision-making and drive strategic initiatives Qualifications Skills and experience that will help you excel 2-4 years of relevant experience with a solid understanding of financial principles and their application in capital markets. Experience in automating manual processes to improve efficiency. Basic programming skills for automation, data analysis, and database management. Expertise in data visualization and reporting using Power BI. Proven track record of building scalable, reliable platforms from the ground up. Ability to guide teams in driving transformation and identifying optimization opportunities. Strong cross-functional teamwork with product, research, operations, and management teams. Skilled in identifying inefficiencies and creating innovative solutions. Ability to thrive in fast-paced, evolving environments with long-term commitment to projects. Preferred Skills: Knowledge and hands-on experience in AI fundamentals, prompt engineering, and machine learning techniques. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Step into role of a Senior Data Engineer. At Barclays, innovation isn t encouraged, its expected. As a Senior Data Engineer you will build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. To be a successful Senior Data Engineer, you should have experience with: Hands on experience to work with large scale data platforms & in development of cloud solutions in AWS data platform with proven track record in driving business success. Strong understanding of AWS and distributed computing paradigms, ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue, Lambda, S3, redshift and snowflake and data bricks. Ability to develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies. Hands on programming experience in python and PY-Spark. Understanding of Dev Ops Pipelines using Jenkins, GitLab & should be strong in data modelling and Data architecture concepts & well versed with Project management tools and Agile Methodology. Sound knowledge of data governance principles and tools (alation/glue data quality, mesh), Capable of suggesting solution architecture for diverse technology applications. Additional relevant skills given below are highly valued: Experience working in financial services industry & working in various Settlements and Sub ledger functions like PNS, Stock Record and Settlements, PNL. Knowledge in BPS, IMPACT & Gloss products from Broadridge & creating ML model using python, Spark & Java. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures. . If managing a team, they define jobs and responsibilities, planning for the department s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements. . If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. . OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions. . Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

AI Engineer Job Overview: The AI Engineer will play a pivotal role in the AI4IT program and AI initiatives driving the integration and implementation of AI solutions within Allianz Technology This position requires a proactive individual with a passion for AI innovation, capable of bridging the gap between technical AI concepts and practical business applications The AI Engineer will work closely with AI Ambassadors and other stakeholders to ensure successful AI adoption and utilization across various functions within the Workplace Service area Key Responsibilities Implement Retrieval-Augmented Generation (RAG) solutions using pre-trained models within Azure services to solve business challenges and enhance productivity within the Workplace Service area Collaborate with AI Ambassadors to identify potential AI use cases based on GenAI, Machine Learning frameworks and Natural Language processing and provide technical expertise in their execution Integrate and manage data from various sources, including but not limited to Postgres as a vector database, to support RAG applications Utilize APIs to integrate pre-trained models and AI services into existing systems and workflows Conduct research and stay updated on the latest AI trends, tools, and technologies to continuously improve AI capabilities within the Workplace Service area Provide technical support and guidance to non-technical team members, simplifying complex AI concepts for broader understanding and adoption Document AI processes, models, and solutions to ensure transparency and facilitate knowledge sharing across the Workplace Service area Participate in AI-related training and workshops to upskill employees and promote AI literacy within the Workplace Service area Qualifications Hard Skills Experience with Azure Cognitive Services and Azure Machine Learning Familiarity with GenAI frameworks such as langchain, langgraph Understanding and implementation of Retrieval-Augmented Generation (RAG) using pre-trained models and its optimization Understanding of chat agents and its capabilities Proficiency in programming languages such as Python or JavaScript Understanding of Natural Language processing and chatbot frameworks Experience in integrating pre-trained models and AI services using APIs Familiarity with AI frameworks such as TensorFlow, PyTorch, or Keras Skills in integrating and managing data from various sources, including Postgres as a vector database for RAG Experience with rapid prototyping and Minimum viable product approach Familiarity with managing and optimizing cloud infrastructure on Azure Experience with GitHub for version control and collaboration Experience with Jenkins for continuous integration and deployment Understanding of AI ethics and compliance, particularly in relation to the EU AI Act Soft Skills Strong problem-solving skills Excellent communication skills Collaborative mindset to work in an interdisciplinary team Ability to work independently and collaboratively in a team environment Proactive and results-driven mindset Passion for continuous learning and staying updated on AI trends Ability to provide technical support and simplify complex AI concepts Allianz Group is one of the most trusted insurance and asset management companies in the world Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation Join us Lets care for tomorrow

Description What makes us Qlik ? A Gartner Magic Quadrant Leader for 15 years in a row , Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. The Principal Solution Architect Role Are you ready to take the lead in shaping the future of data and analytics? As a Principal Solution Architect, you ll be the go-to technical expert, guiding some of the largest customers and partners in the India region. You ll be at the forefront of demonstrating how cutting-edge data integration and analytics solutions can drive real business transformation. Collaborating closely with a dynamic Presales team in a flexible, agile environment, you ll have the opportunity to showcase your expertise while working with Sales, Marketing, R&D, Product, Consulting, and Customer Success teams. If youre looking for a role that is engaging, fast-paced, and full of opportunities to make an impact, this is it. What makes this role interesting? Engage with high-profile customers and partners : Lead technical discussions and showcase innovative solutions to help organizations unlock the true power of their data. Drive business success with cutting-edge technology : Leverage Qlik s next-generation data analytics and data integration platform to solve complex business challenges. Be at the forefront of industry trends : Stay ahead of the game by keeping up with the latest advancements in data analytics, as well as the competitive landscape. Collaborate with cross-functional teams : Work closely with internal teams and experts across Sales, Marketing, R&D, and Customer Success to build compelling solutions that resonate with customers. Flexibility and agility : Thrive in an environment that values adaptability, innovation, and dynamic thinking. Here s how you ll be making an impact: Own the technical sales cycle : Become a trusted advisor by guiding customers through technical evaluations, ensuring a seamless journey from exploration to adoption. Showcase innovation through tailored solutions : Deliver compelling presentations and custom demonstrations that address real customer needs and business challenges. Prove value through successful Proof-of-Concepts : Help customers experience the true power of Qlik s platform by leading impactful proof-of-concept engagements. Support business development efforts : Play a key role in driving regional revenue growth by supporting strategic sales initiatives and expanding Qlik s presence in the market. Position solutions for long-term success : Communicate effectively with stakeholders at all levels, from technical teams to senior leadership, ensuring alignment on the value and impact of Qlik s solutions. We re looking for a teammate with: At least 8 years of experience in a presales and/or consulting capacity Strong experience in BI & analytics tools like Qlik Sense etc. Good understanding of SQL & data modeling . Good understanding of Machine Learning tools and its usage such as Python/ R, and other AI/ML and Gen AI technologies Familiarity with cloud platforms and services Good to have Knowledge of Data Integration (ETL), Data Quality (DQ), Data Governance, iPaaS (APIs, micro services, Application Integration) will be plus Excellent communication skills to the business as well as technical audience Highly driven with strong interpersonal skills Track record of developing relationships at technical, commercial, and executive levels throughout large enterprises Ability to work independently and manage multiple complex opportunities. Travel Requirements: Willingness and ability to travel approximately 25 % Ability to travel internationally, if required

We re looking for an experienced Python developer with hands-on experience building REST APIs using Tornado or Flask, and familiarity with chatbot frameworks. This role will focus on enhancing our operations chatbot and intelligent alert handling initiatives. The ideal candidate is a pioneer someone excited to work not only on existing applications but also to help shape complex and innovative AI-driven solutions. Meet our team The RaaS AES Team is part of PayPal s Engineering Platforms & Risk as a Service (RaaS) pillar. We are a dynamic group of engineers committed to operational excellence, innovation, and delivering high-quality solutions that empower PayPal s risk products globally. Our team focuses on building tools and platforms that streamline workflows, enhance observability, and drive automation across critical operational processes. We work closely with cross-functional teams, including product managers, data scientists, and DevOps engineers, to ensure seamless collaboration and impactful results. Job Description Your way to impact Enhance PayPal s operations chatbot and intelligent alert handling systems. Build scalable and reliable backend services that improve observability and streamline workflows. Collaborate on AI-driven initiatives to tackle complex operational challenges. Your day to day Design, develop, test, and deploy backend services using Python. Build REST APIs using Tornado or Flask. Collaborate with cross-functional teams to deliver high-quality solutions. Debug and resolve production issues to ensure system reliability. Participate in code reviews and provide constructive feedback to peers. What do you need to bring 2 + years of Strong programming skills and expertise in Python. Strong understanding of algorithms, data structures, and system design. Experience with REST API s, Web Services, and Unit Testing. Experience in refactoring existing code base and in understanding existing implementations to decide to refactor or rewrite. Good understanding and hands on experience with databases such as MySQL/Oracle/BigQuery etc. Good understanding and hands on experience with BI Tools such as Tableu/Looker/Power BI etc. Familiarity with microservices architecture, and cloud platforms. Familiarity with machine learning, data engineering, LLMs, RAG applications, or MCP servers is a plus but not required. Take risks and thrive in an environment of constant change

This job will drive the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Essential Responsibilities Define and drive the strategic vision for machine learning initiatives at the organizational level. Lead the development and optimization of state-of-the-art machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Represent the company at conferences and external engagements. Influence the direction of the companys AI/ML strategy and contribute to long-term planning. Minimum Qualifications Minimum of 18 years of relevant work experience and a Bachelors degree or equivalent experience. Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Recognized as an industry expert with a strong publication record.

What you need to know about the role This job will drive the strategic vision and development of cutting-edge BNPL credit models and collection models across all products . The incumbent will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. The role involves building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Your way to impact - Manage multiple priorities through solid project management practices. Maintain strong presence in our India sites and help keep PayPal a great place to work. Your day to day - Define and drive the strategic vision for machine learning initiatives across multiple teams or projects. Lead the development and optimization of state-of-the-art machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Lead the development of new methodologies and frameworks for ML applications. What do you need to bring- Minimum of 15 years of relevant work experience and a Bachelors degree or equivalent experience. Minimum of 3 years management experience Deep experience in AI/ML model development, with a proven track record in financial services Experience in setting up & nurturing large AI / ML teams Advanced degree in Computer Science, Engineering, Statistics, or a related field. Exceptional communication skills, with the ability to articulate complex technical concepts to nontechnical stakeholders and executives. Strong connections with the AI/ML ecosystem in India is a plus.

Hello. We re Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we re improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands - including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum - through a unique combination of deep human understanding and trusted science. What s more, we re achieving it in a company that we re in control of. In an environment that we re co-creating. And a culture that s uniquely ours. Care to join us. It isn t a question. With category leading brands such as Sensodyne, Voltaren and Centrum, built on trusted science and human understanding, and combined with our passion, knowledge and expertise, we re uniquely placed to do this and to grow a strong, successful business. This is an exciting time to join us and help shape the future. It s an opportunity to be part of something special. About the role This is an excellent opportunity for a Senior Machine Learning Engineer to provide key contribution to a strategic digital programme expected to transform the integrated business planning process in Haleon. The successful candidate will lead the deployment of machine learning solutions that will transform our integrated business planning process. In this role, you will be responsible for designing and implementing end-to-end machine learning pipelines for various applications. Key Responsibilities of the role Lead the deployment of ML solutions on the enterprise infrastructure, in line with ML engineering standards and best practices (version control, testing, deployment, maintenance). Manage the entire lifecycle of data science/machine learning models, including monitoring, data gathering for retraining, and updates. Implement ML engineering best practices, such as coding standards, code reviews, and automated testing. Define and implement metrics to evaluate the functional performance and computational resource efficiency of ML and AI components. Can coordinate and manage competing priorities across a portfolio of projects. Ability to influence across organisations, proven collaboration skills, comfortable working with ambiguity, collaborate with cross-functional teams, including data scientists, data engineers, and business stakeholders. People and Team management Contribute to a highly collaborative team with a culture of ownership, initiative and responsibility. Contribute to the development of our Team s ML engineering standards of reusable DS, ML, and AI assets. Motivate, coach, mentor colleagues within the ML Engineering Team to develop technical excellence. Manage a team of up to 3 Machine Learning Engineers Necessary Qualifications & Skills BSc, MSc or PhD degree in mathematics, computer science, or another scientific discipline that provides solid foundations on relevant aspects of Data Science. 5-10 years of industry experience with proven experience implementing machine learning engineering pipelines on large datasets. Strong understanding of ML engineering best practices. Strong collaboration skills and comfortable working with ambiguity, making quick, informed decisions considering trade-offs. Experience with deploying machine learning solutions on enterprise infrastructure. Strong programming skills in Python or similar programming languages.. Ability to manage competing priorities across a portfolio of projects. Highly desirable Qualifications & Skills Strong experience with cloud-based infrastructure and distributed computing systems, such as Azure, AWS, or GCP. Experience with containerization and orchestration tools, such as Docker and Kubernetes. Understanding of software engineering principles, such as modular design, clean code, and testing. Familiarity with DevOps practices and tools, such as continuous integration and deployment (CI/CD) pipelines and configuration management tools like Ansible or Terraform. Excellent problem-solving skills and the ability to debug complex issues in production environments. Strong communication skills and the ability to collaborate with cross-functional teams. Familiarity with monitoring and logging tools, such as Grafana, Prometheus, and ELK Stack. Knowledge of security best practices in machine learning engineering. .

Eastern Time) Employment Type: Full-time Long-term Contract (Annual Renewal) Summary We are seeking a highly skilled and motivated Lead GCP Data Engineer to join our team This role is critical to the development and operation of cloud-native, AI-driven enterprise data products that power global media planning and analytics As a Senior Data Engineer, you will architect, build, and maintain scalable, secure, and optimized data solutions on Google Cloud Platform (GCP) Your focus will be on developing robust ELT pipelines, streaming workloads, API-based ingestion frameworks, and orchestration using tools such as Apache Spark, Airflow (Cloud Composer), and BigQuery You ll operate in a fast-paced environment, supporting data-driven innovation across cross-functional teams and ensuring reliability, compliance, and cost efficiency in all workflows Key Responsibilities Data Engineering & Development Design, build, and optimize scalable ELT/ETL pipelines to process structured and unstructured data across batch and streaming systems Architect and deploy cloud-native data workflows using GCP services including BigQuery, Cloud Storage, Cloud Functions, Cloud Pub/Sub, Dataflow, and Cloud Composer Build high-throughput Apache Spark workloads in Python and SQL, with performance tuning for scale and cost Develop parameterized DAGs in Apache Airflow with retry logic, alerting, SLA/SLO enforcement, and robust monitoring Build reusable frameworks for high-volume API ingestion, transforming Postman collections into production-ready Python modules Translate business and product requirements into scalable, efficient data systems that are reliable and secure Cloud Infrastructure & Security Implement IAM and VPC-based security to manage and deploy GCP infrastructure for secure data operations Ensure robustness, scalability, and cost-efficiency of all infrastructure, following FinOps best practices Apply automation through CI/CD pipelines using tools like Git, Jenkins, or Bitbucket Data Quality, Governance & Optimization Design and implement data quality frameworks, monitoring, validation, and anomaly detection Build observability dashboards to ensure pipeline health and proactively address issues Ensure compliance with data governance policies, privacy regulations, and security standards Collaboration & Project Delivery Work closely with cross-functional stakeholders including data scientists, analysts, DevOps, product managers, and business teams Effectively communicate technical solutions to non-technical stakeholders Manage multiple concurrent projects, shifting priorities quickly and delivering under tight timelines Collaborate within a globally distributed team with real-time engagement through 2 p m U S Eastern Time Qualifications & Certifications Education Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, or a related field Experience Minimum 7+ years in data engineering with 5+ years of hands-on experience on GCP Proven track record with tools and services like BigQuery, Cloud Composer (Apache Airflow), Cloud Functions, Pub/Sub, Cloud Storage, Dataflow, and IAM/VPC Demonstrated expertise in Apache Spark (batch and streaming), PySpark, and building scalable API integrations Advanced Airflow skills including custom operators, dynamic DAGs, and workflow performance tuning Certifications Google Cloud Professional Data Engineer certification preferred Key Skills Mandatory Technical Skills Advanced Python (PySpark, Pandas, pytest) for automation and data pipelines Strong SQL with experience in window functions, CTEs, partitioning, and optimization Proficiency in GCP services including BigQuery, Dataflow, Cloud Composer, Cloud Functions, and Cloud Storage Hands-on with Apache Airflow, including dynamic DAGs, retries, and SLA enforcement Expertise in API data ingestion, Postman collections, and REST/GraphQL integration workflows Familiarity with CI/CD workflows using Git, Jenkins, or Bitbucket Experience with infrastructure security and governance using IAM and VPC Nice-to-Have Skills Experience with Terraform or Kubernetes (GKE) Familiarity with data visualization tools such as Looker or Tableau Exposure to MarTech/AdTech data sources and campaign analytics Knowledge of machine learning workflows and their integration with data pipelines Experience with other cloud platforms like AWS or Azure Soft Skills Strong problem-solving and critical-thinking abilities Excellent verbal and written communication skills to engage technical and non-technical stakeholders Proactive and adaptable, with a continuous learning mindset Ability to work independently as well as within a collaborative, distributed team Working Hours Must be available for real-time collaboration with U S stakeholders every business day through 2 p m U S Eastern Time (minimum 4-hour overlap)

About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. Job Description: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. Key Responsibilties: The Senior Manager, Documentation will lead the documentation strategy for our Tekion platform and will be responsible for creating and managing clear, concise, and user-focused content that supports our customers and internal stakeholders. This leadership role is responsible for establishing and maintaining best practices, tools, and processes for technical documentation. It will be critical for this role to create, manage and maintain consistency of Documentation processes. This role will also be responsible for defining and managing performance metrics (KPIs), both at the team and individual levels. The ideal candidate has deep experience in technical writing within the product space, strong leadership capabilities, a passion for improving the customer experience through high-quality documentation, and passionate about enabling AI-driven solutions. Lead and manage a team of documentation specialists responsible for end-to-end product documentation including (but not limited to) Overviews, How-to Guides, FAQs, Workflows, End-user, Admin, API etc. Define and implement the documentation strategy aligned with product releases, customer success goals, and overall company objectives. Oversee the entire documentation lifecycle including content planning, development, reviews, publishing, and continuous improvement. a. Own the end-to-end documentation planning process for Tekion platform. b. Collaborate with Product Management, Engineering, Design, and Support to gather requirements and establish documentation timelines. c. Create and manage project plans, including resource allocation,milestones, and risk mitigation strategies. d. Ensure all documentation projects are delivered on time and meet established quality standards. e. Track progress using tools such as Jira, Confluence, or similar project management systems. Work closely with Product, Engineering, Support, and Marketing to understand user needs and product functionality. Enable seamless integration between documentation and emerging AI use cases: a. Design and implement a structured documentation framework optimized for AI consumption and prompt engineering. b. Develop and maintain structured, metadata-rich documentation to support AI use cases, including knowledge retrieval for virtual assistants, LLM- based support tools, and predictive analytics dashboards. c. Implement best practices for modular content architecture, version control, and semantic tagging to improve both human readability and AI- assisted querying. Establish and enforce style guides, documentation standards, and scalable content processes. Champion the use of structured content models and modular documentation to improve content reuse and consistency. Own and evolve documentation tools, platforms, and delivery channels (e.g.,Confluence, Swagger, ServiceNow etc). Drive feedback loops and content metrics to assess effectiveness, identify gaps,and continuously improve the customer content experience. Support localization, accessibility, and versioning strategies for global product delivery. This role offers a unique opportunity to build and grow a high-impact team, ensuring our documentation scales with the companys growth. Proven experience managing technical writing teams and large-scale documentation projects. Excellent communication and leadership skills. Strong understanding of content management systems (CMS) and documentation tools. Excellent project management skills with the ability to prioritize and delegate effectively. Experience with agile methodologies and cross-functional collaboration. Strong analytical skills to assess project feasibility and resource allocation. Familiarity with regulatory requirements in technical documentation. Ability to stay current with industry trends and best practices in technical communication. Skills and Experience: Bachelor s degree in Technical Communication, Computer Science, English, or a related field; an advanced degree a plus. 15 + years of experience in technical writing, with at least 9-10 years managing technical content teams in a product company. Deep understanding of SaaS business models, user personas (end users,developers, admins), and customer onboarding flows. Experience working in Agile development teams with regular product release cycles. Familiarity with documenting APIs, SDKs, integration guides, and UI-based features. Strong experience with tools like Git, Markdown, Confluence, Swagger/OpenAPI, and static site generators (e.g., Hugo, Docusaurus). Excellent leadership, communication, and cross-functional collaboration skills. Experience leading documentation initiatives. Knowledge of customer education, enablement, or in-product documentation strategies. Experience integrating documentation into CI/CD workflows. Familiarity with analytics tools to measure documentation usage and performance. Perks and Benefits: Competitive compensation Generous stock options Medical insurance coverage Work with some of the brightest minds from Silicon Valley s most dominant and successful companies

The Adobe Experience Cloud (https: / / www.adobe.com / experience-cloud.html) is a USD 3B+ business serving the needs of enterprise businesses including 95%+ of fortune 500 organizations. Adobe Journey Optimizer (AJO) within Experience Cloud provides a platform for designing cross-channel customer experiences and provides an environment for visual campaign orchestration, real time interaction management and cross channel execution. It is built natively on the Adobe Experience Platform and combines a unified, real-time customer profile, an API-first open framework, centralized offer decisioning, and artificial intelligence (AI) and machine learning (ML) for personalization and optimization We are seeking an experienced full time Mobile Engineer to join the "Mobile Experience team" and contribute to mobile SDKs that allow customers to craft interactive experiences in their mobile apps. These SDKs are embedded in the mobile apps of many Fortune 500 companies and other large businesses. At Adobe, we process billions of hits per week from these mobile apps. Beyond the usual responsibility of designing, developing, documenting, and thoroughly testing code, Computer Scientists @ Adobe would own features of varying complexity, which may require understanding interactions with other parts of the system, moderately sophisticated algorithms and good design judgment. For this, we are looking for strong and passionate engineers to join our team as we scale the business by building the next gen capabilities and adding new value to our existing offerings! What youll do This is an individual contributor position. Expectations will be on the below lines: Work with a team of engineers to Design, Create and maintain features in our Adobe Experience Platform using the ReactJS/React Native and other js based platforms. Be responsible for all phases of engineering. From early specs, design/architecture, technology choice, development, unit-testing/integration automation, and deployment. Continuously follow new trends in the marketplace and find ways to implement these in our mobile SDKs to provide customers more innovative ways to interact and engage with their users to create mobile experiences. You will help research and prototype new features to evaluate them for inclusion. Build technical specifications, prototypes and presentations to communicate your ideas. Requirements B.Tech / M.Tech degree in Computer Science from a premier institute. 3-5 years of proven experience in software development. Extensive knowledge of mobile platforms and mobile app development experience . Strong programming skills using javascript/typescript, Redux and CI/CD pipelines Excellent computer science fundamentals. Good understanding of software-design algorithms. .