7171 Machine Learning Jobs - Page 38

So, what s the role all about We are seeking a highly skilled and motivated Senior Product Owner as part of our AML Product team, focused on building scalable AML solutions for financial markets. You ll work on AML Reporting product, achieving a proper balance between achieving Regulatory Compliance and providing best User Experience from a product perspective How will you make an impact Working with R & D team will help them in building / enhancing the Reporting solution Drive the Product Management components for the AML Reporting solution Collaborate with cross-functional teams including R & D, Professional Services, and Account teams Managing the backlog grooming, prioritization & requirements with focus on R&D execution will help in better planning Have you got what it takes Key Product Skills: Interpreting laws and regulatory changes and ensuring product features align with compliance requirements Aligning product vision with business and regulatory goals Facilitating collaboration between R & D, Professional Services and Sales teams. Define and evolve product roadmaps in response to emerging threats Balance innovation with regulatory constraints Collaborating with Regulators Good to Have: How financial crime systems (e. g. , transaction monitoring, case management) integrate Technical Experience on Database, Cloud & APIs Qualifications: Overall experience 4-7 years. 2-4 years of Product Management Experience Previous experience with Artificial Intelligence, Machine Learning, or Recommendations Engine products What s in it for you Enjoy NiCE-FLEX! Requisition ID: 7630 Reporting into: Manager, Product Management Role Type: Product Owner About NiCE

6-8 years of over all experience with 3+ years in ML Ops engineering. Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc. Extensive experience with ML Ops frameworks like DataIku (MUST Have), Kubeflow , MLflow , TensorFlow Extended (TFX) , . Strong experience in deploying and managing machine learning models on AWS environments Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc. Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment. Mandatory skills : SageMaker, DataIku, Python, PySpark, AWS Services ; Good to have: AWS CDK Mandatory Competencies At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, were committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees success and happiness.

The Associate Data Scientist will be responsible for analyzing large amounts of data and generating insights that will inform business decisions. This role will work closely with cross-functional teams to develop predictive models, analyze data, and create visualizations to communicate findings. The ideal candidate will be highly analytical, detail-oriented, and have a solid understanding of statistical methods. Major Responsibilites Work with cross-functional teams to identify and answer key business questions through data analysis and modeling Develop and implement predictive models using statistical and machine learning techniques Analyze data using tools such as Python, R, or SQL to identify trends and patterns Create data visualizations and reports to communicate findings to stakeholders Continuously monitor and refine models to ensure accuracy and effectiveness Collaborate with other data scientists and analysts to share knowledge and best practices Skills Algorithms Applied Mathematics Computer Science Python (Programming Language) Machine Learning Natural Language Processing (NLP) SciPy SQL Programming Language) Statistics Data Science Abilities Analytical and problem-solving skills ability Experience in statistical analysis and machine learning techniques Ability to work with large and complex data sets Knowledge of programming languages such as Python or R Understanding of database concepts and data management Ability to work independently and as part of a team Good communication and interpersonal skills Education & Experience Bachelor s degree in Computer Science, Statistics, Mathematics, or related field 1+ years of experience in data analysis or related field Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.

Join us as a Software Engineer at Barclays, where youll take part in the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. Youll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders. To be successful as a Software Engineer you should have experience with: Previous experience of development and support on RPA tool (Ui Path). Comprehensive and evident understanding of Microsoft Technology (C#, VB. NET , Windows, Internet Explorer, SQL Server, Web Services). Willingness and ability to use their existing RPA knowledge to rapidly learn how to develop automations using UIpath . Analysis of business requirements and create POCs on UIpath and demonstrate the solution to business. Experience of the full project lifecycle, including technical design, development, testing, defect fixing and post-implementation support in Uipath. Some other highly valued skills include: Experience on development in-house automation tools like RPA - Blueprism. Exposure to structured methodologies. Exposure to Machine learning and AI. jBPM. 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 Chennai Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. 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.

Join us as a Full stack Developer at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. To be successful as a Full stack developer, you should have experience with: In-depth knowledge and extensive experience of Core Java and J2EE design and development work on large-scale applications. Spring Framework (Core, Boot, MVC, AOP, Security). Spring Boot: Microservices architecture, auto-configuration, starters. RESTful Web Services development experience(Design, development, documentation using RAML/OpenAPI). Strong understanding of OO Designing and Programming Techniques and associated concepts, Data Modelling, Design Patterns. Knowledge of modern frontend technologies, including JavaScript (ES6+), HTML5, and CSS3. Some other highly valued skills may include: Knowledge of UI development with a focus on Angular/React JS, React Native and micro-frontend architecture Knowledge of automated testing, continuous integration and deployment tools and practices. Knowledge of Mobile App Engineering. 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. The role is based out of 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. 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.

Job Description As a Software Engineer III at JPMorgan Chase within the Rates Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Strong Python Development experience of at least 3+ years. Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience in Java, AWS, Terraforms Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Payment Management team , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in Java / Kafka / CI / CD , test automation Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Hands on experience in AI tools / AWS is a plus

We are looking for an experienced AI Engineer for a clientproject which is specializing in fraud detection using Large Language Models(LLMs) and traditional machine learning models This role will involvedesigning and developing cutting-edge AI solutions for client projects whilecontributing to future-focused prediction and insights products The role willevolve to work in other domains including healthcare where ever insights anddecision making can be done using AI Key Responsibilities: Collaborate with cross-functional teams to understand clientrequirements and translate them into scalable AI models. Design, develop, and implement fraud detection models usingLLMs and traditional machine learning techniques. Build and maintain data pipelines for training, testing, anddeploying models efficiently. Develop prediction and insights tools to provide actionableintelligence for fraud prevention.

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (eg, cloud, artificial intelligence, machine learning, mobile, etc) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience

We are looking for a Lead Software Engineer to join an award-winning team with a proven track record of combining data science techniques with an intimate knowledge of payments data to aid Financial Institutions in their fight against money laundering and fraud. We craft bespoke services that help our clients gain an understanding of the underlying criminal behaviour that drives financial crime, empowering them to take action. As part of the application development team, your role will focus on creating and maintaining products across the whole lifecycle. Role Establish and enforce best practices for microservices architecture, ensuring scalability, reliability, and maintainability of our solutions. Collaborate with cross-functional teams to define project requirements and deliver scalable solutions. Mentor team members on microservices design principles, patterns and technologies. Take personal responsibility for creating and maintaining microservices, primarily in Golang. Iterate design and build to solve bugs, improve performance, and add new features. Containerise your services and make ready for deployment onto a k8s environment using helm charts. Ensure resilience and reliability of services. Develop a complete understanding of end-to-end technical architecture and dependency systems. Apply that understanding in code. Write tests with high coverage including unit, contract, e2e, and integration. Version control code with git and build, test and deploy using ci/cd pipelines. Build and test remotely on your own machine and deploy to low-level envs. Review team members code, identifying errors and improving performance and readability. Drive code design and process trade-off discussions within team when required. Report status and manage risks within your primary application/service. Perform demos and join acceptance discussions with analysts, developers and product owners. Assist in task planning and review as part of a sprint-based workflow. Estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements. The role is hybrid, and the expectation is that you attend the office according to Mastercard policy. All About You First and foremost, you enjoy building products to solve real, pressing problems for your customers. You enjoy working in a team and have an interest in data science and how advanced algorithms may be deployed as product offerings. You are detail oriented and enjoy writing and reviewing code to a high standard with tests to prove it. Demonstrable ability to write Golang, Python and SQL in a production context. You are happy to learn new programming languages and frameworks as necessary. Experience with large volumes of data and high throughput, low latency solutions. You have experience with, and are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs, and in-memory/NoSQL stores. You have experience in resolving different solutions and approaches to problems and can choose between pragmatic and rigorous solutions depending on the situation. You are comfortable working in a devops-based software development workflow, including building, testing, and continuous integration/deployment. You are also happy to be evolve along with the development process and contribute to its success. You are comfortable communicating with a range of stakeholders, including subject matter experts, data scientists, software engineers, devops and security professionals. You have the ability to engage with best practices for code review, version control, and change control, balancing the need for a quality codebase with the unique and particular demands of scale-up stage software engineering. You have experience optimising solution performance with a constrained set of technologies. You have experience or are keen to engage with productionising machine learning technologies.

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience . Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (eg, cloud, artificial intelligence, machine learning, mobile, etc) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience

The Data & Analytics team is looking for a Databricks Platform Engineer to drive our mission to unlock potential of data assets on AWS cloud by consistently innovating, and moving data to our Cloud platforms and making our business engineering team consume it with the set standards and principles. Our Cloud Data Platform (Databricks) is being used by various groups to derive insights, perform Machine Learning and Data Science activities which in turn supports various revenue generating initiatives across the organization. Role - Databricks Platform Engineer Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget Develop and build solutions on cloud data platforms - Databricks - adhering to industry standards. Develop and build Databricks as a platform for the engineering community to use Build governance framework for cloud data storage and usage for enterprise data platforms. Collaborate on cross-functional agile teams - that include Developers, Report/BI Developers and Product Owners Work closely with Product Owners to understand cloud use cases and determine the best way to implement those. Provide technology leadership in the cloud big data space to development and product teams. Provide technology leadership to other leaders in big data and cloud data platform space. Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent Participate in architectural discussions , iteration planning, and feature sizing meetings Adhere to Agile processes and participate actively in agile ceremonies Stakeholder management skills All About You 8-12 years of hands on experience with Cloud data platform Hands on experience in Databricks and deep understanding of its architecture Experience managing, developing and supporting data lakes, lakehouses, warehouse on premise and on cloud, ETL solutions and other analytics solutions. Exposure to technology trends like R, Python and similar technology is added advantage. Experience working with development/engineering teams in a global environment In depth practical experience on native cloud services - Azure and/or AWS. Strong understanding of cloud DevOps practices and implementation. Experience in cloud data migration for large sized enterprise data warehouse environments. Understanding of cloud data governance include compute optimization, cost control, user profile management etc In depth understanding of cloud operations strategy and user management across various cloud providers and cloud platforms. Strong understanding and hands-on on cloud security models, encryption strategy, network layers for on-prem + cloud hybrid model and other related concepts. Experience in establishing new engineering team and working towards taking the team to steady state Understanding of database technologies like Exadata/Oracle/Netezza/SQL server databases Understanding of SDLC and experience in establishing processes, standards and governance to bring efficiency within development team

Highly skilled and experienced Data Engineer with AI/ML expertise. This role is essential to maintain continuity and leadership for our AI-driven initiatives, particularly Vantage AI, which is currently gaining significant traction across business units. The candidate must possess strong technical knowledge in data engineering, orchestration, machine learning, and analytics, with the ability to independently drive the design, development, and deployment of data solutions. Key Responsibilities: Development and deployment of Vantage AI. AI/ML initiatives in Anchanto. Insight generation. Apply statistical methods and predictive modeling to solve real-world problems. Machine learning and AI developments. Develop Data engineering solutions and orchestration. Essential Requirements: 2+ years of experience in data engineering or data science roles Ability to build and deploy machine learning models Expertise in AWS cloud platforms and containerization Hands on in data scraping techniques. Strong knowledge of Python and associated ML/data science libraries (eg, scikit-learn, pandas, PySpark, Sagemaker) Expertise in ETL and data pipeline design. Personal Attributes: Strong problem-solving skills. Good communication Engineering degree. Ability to work independently.

This is a highly challenging role that exposes one to state-of-the-art Machine Learning and Deep Learning algorithms in the domain of NLP and to the challenges of building a world-class ML platform in production. You will contribute to building industry-leading AI-powe'red products for Observe.AI leveraging the latest technologies in NLP and architecting/ implementing high throughput/ low latency/ scalable ML systems. If you are excited about building and owning cutting-edge ML-powe'red product capabilities, and working on both algorithms as we'll as platforms, you'll love the job What you'll be doing Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including Large Language Models and related emerging technologies. Contribute to both ML modeling as we'll as building/ maintaining production systems that power AI capabilities on the product. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc What you bring to the role bachelors or masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP. 3+ years of industry experience in building large-scale NLP systems. Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications. Good understanding of recent trends in NLP around transformers, language models, textclassification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch,Tensorflow, HuggingFace, etc, and deploying/ maintaining machine learning models in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP conferences or workshops are a plus Relevant open-source contributions are a plus. Compensation, Benefits and Perks Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (ie Meal card, PF, etc)

This role provides an exciting opportunity to be at the forefront of AI innovation, contributing to the development and implementation of solutions that push the boundaries of technology. If you are passionate about AI, thrive in a collaborative environment, and enjoy driving impactful projects, this position offers a platform for creativity and professional growth. Join us in shaping the future of AI applications Responsibilities: Cross-Functional Collaboration: Collaborate seamlessly with Engineering, Product, and Operations teams to conceptualize, design, and construct AI systems for diverse applications, including Email Suites, Conversational chatbots, and various NLP and ML use cases. Innovative Model Development: Lead the development of inventive strategies and models, ensuring practical operationalization of AI solutions in alignment with organizational goals. Ideation and Analysis: Generate ideas for exploratory analysis, actively shaping the trajectory of future projects. Provide insightful recommendations for strategic actions based on data-driven insights. Rapid Prototyping and Product Discussions: Drive the rapid prototyping of solutions, actively participating in discussions related to product and feature development. Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making. Integration with Production Systems: Collaborate closely with software engineers to deploy and integrate data models into production systems. Ensure scalability, reliability, and efficiency of integrated solutions. Business Metrics Identification: Identify and analyze key business metrics, offering strategic insights. Recommend product features based on the identified metrics to enhance overall product functionality. Skills Exceptional quantitative and problem-solving skills - capable of tackling complex data-driven challenges and formulating effective solutions. Solid understanding of natural language processing (NLP) - Fundamentals, including techniques such as named entity recognition (NER), topic modeling, and sentiment analysis. Proven proficiency - In essential data science libraries, including Pandas, Numpy, SciPy, and Scikit-Learn, for data manipulation, analysis, and modeling. In-depth expertise in Python programming - Focus on data analysis, model building, and algorithmic implementation. Experience with distributed computing frameworks - Hadoop or Spark, for handling large-scale data processing and machine learning tasks. Comprehensive understanding - Supervised and unsupervised machine learning techniques, including decision trees, random forests, boosting algorithms, and clustering methods. Experience and Qualifications Masters or Bachelors degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering Minimum 8+ years of relevant experience with a proven track record of developing ML solutions.

Our Supply and Market Place division is sourcing the best possible inventory and content from our partners, generating the best prices and customer experience, and ensuring our supply is transacted fairly across our marketplace. This division builds innovative products, services, and tools to deliver high-quality experiences for partners and travellers both. The goal of SPX (Supply Partner Experience) org is to delight partners by connecting them to the right travellers. we'll do that by building an adaptive experience that provides data and ML driven opportunities to our partners to help them grow their business. As part of Scout team we computes, organizes and streams the recommended actions for EGs supply partners with the ultimate goal of maximizing the returns for their time investment on Expedia Marketplace. Plus we also tracks partners reactions to these recommendations to continuously learn & evolve. Our team works very closely with Machine Learning Scientists in a fast-paced Agile environment to create and productionize algorithms that directly impacts the partners of Expedia In this role, you will: Work in a cross-functional geographically distributed team of Machine Learning engineers and ML Scientists to design and code large scale batch and a few real-time data pipelines on the Cloud. Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team Actively participate in all phases of the end-to-end ML model lifecycle (includes feature engineering, model training, model scoring, model validation) for enterprise applications projects to tackle sophisticated business problems in production environments Collaborate with global team of data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Participate in code reviews to assess overall code quality and flexibility. Define, develop and maintain artifacts like technical design or partner documentation Maintain, monitor, support and improve our solutions and systems with a focus on service excellence Experience and qualifications: Degree in software engineering, computer science, informatics or a similar field Experience: 3+ years if Bachelors, 1+ year if you are Masters Comfortable programming in Python(Primary) and Scala(Secondary). Hands-on experience with OOAD, design patterns, SQL and NoSQL Knowledgeable in big data technologies, in particular Spark, Hive, Hue and Databricks Experience in developing and deploying Batch Inferencing applications. You have a good understanding of machine learning pipelines and ML Lifecycle. Have good understanding of both traditional ML Algos and Gen-AI tools/tech-stack. Experience of using cloud services (eg AWS) Experience with workflow orchestration tools (eg Airflow) Passionate about learning, especially in the areas of micro-services, system architecture, Data Science and Machine Learning. Experience working with Agile/Scrum methodologies

As a Senior Software Engineer, you will be an integral part of the Juniper Network Automation Software Engineering team with the responsibilities including: Assist in design and implementation of micro-service-based cloud network monitoring responsive Web UI Design and Implementation Contribute to the integration and testing of the developed application. Document software designs and procedures. Use of Juniper router data to develop network monitoring applications. Assist with troubleshooting and root cause analysis of problems found, both in-process and escalations from the field Demonstrate exemplary behavior in following proper engineering processes to manage risks and systematically achieve high product quality. Minimum Qualifications: BS or MS Data Science, Machine Learning, Statistics, Mathematics, Computer Science, or a related field 5-10 years of Proficiency in the core technologies of the web: Javascript, HTML, CSS, ReactJS, NodeJS, and its core principles Experience with micro-frontend Experience with implementing responsive web designs and writing unit and integration tests Experience in working with one or more of the following infrastructure components like Postgres, Kafka, ElasticSearch, Redis Familiarity with Git Experience working in Linux based Operating Systems Understanding and/or Cloud Programming knowledge with Dockers and Containers is a plus Developing multi-threaded applications Understanding and/or Cloud Programming knowledge with Dockers and Containers is a plus Programming knowledge with inter-process communication and distributed systems is a plus Experienced working on highly scalable system addressing CPU Performance and Bandwidth Utilization Hands on experience developing software, debugging, and deploying application on Linux operating systems. Aware of Agile / Scrum development environment Strong problem solving and analytical skills. Good verbal & written communication skills and demonstrated ability to collaborate across teams and organization. Preferred Qualifications: Familiarity with nginx and server analytics platforms such as Grafana/Kibana and open-source collectors Familiarity with newer specifications of RESTful APIs and GraphQL is a plus Familiarity with modern front-end build pipelines and tool

We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate. You will be reporting to Senior Manager, AI/ML. What Your Responsibilities Will Be Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What you'll Need to be Successful Bachelors/Masters degree in computer science with 5+ years of industry experience in software development, along with experience building Machine Learning models and deploying them in production environments. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Work with technological innovations in AI & ML(esp. GenAI) Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana

It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 5- 7years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Stakeholder Management Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

It s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 2- 4 years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Data Platform Engineering Lead at JPMorgan Chase within Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Lead the design, development, and implementation of scalable data pipelines and ETL batches using Python/PySpark on AWS. Execute standard software solutions, design, development, and technical troubleshooting Use infrastructure as code to build applications to orchestrate and monitor data pipelines, create and manage on-demand compute resources on cloud programmatically, create frameworks to ingest and distribute data at scale. Manage and mentor a team of data engineers, providing guidance and support to ensure successful product delivery and support. Collaborate proactively with stakeholders, users and technology teams to understand business/technical requirements and translate them into technical solutions. Optimize and maintain data infrastructure on cloud platform, ensuring scalability, reliability, and performance. Implement data governance and best practices to ensure data quality and compliance with organizational standards. Monitor and troubleshoot application and data pipelines, identifying and resolving issues in a timely manner. Stay up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement. Add to team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience in software development and data engineering, with demonstrable hands-on experience in Python and PySpark. Proven experience with cloud platforms such as AWS, Azure, or Google Cloud. Good understanding of data modeling, data architecture, ETL processes, and data warehousing concepts. Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks. Experience with big data technologies and services like AWS EMRs, Redshift, Lambda, S3. Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab, for data engineering platforms. Good knowledge of SQL and NoSQL databases, including performance tuning and optimization. Experience with declarative infra provisioning tools like Terraform, Ansible or CloudFormation. Strong analytical skills to troubleshoot issues and optimize data processes, working independently and collaboratively. Experience in leading and managing a team/pod of engineers, with a proven track record of successful project delivery. Preferred qualifications, capabilities, and skills Knowledge of machine learning model lifecycle, language models and cloud-native MLOps pipelines and frameworks is a plus. Familiarity with data visualization tools and data integration patterns.

Manage and Optimize AI-Driven Marketing Efforts: Oversee our end-to-end content supply chain and conversational AI initiatives, ensuring streamlined processes, especially those involving AI Technical Expertise: Serve as a technical expert, onboarding new technologies and optimizing the use of existing tools in our marketing technology stack Enablement and Training: Lead marketing technology enablement and training to ensure the marketing team fully utilizes the capabilities of our tools Administration of AI Systems: Administer marketing AI systems (eg, Conversational Email, chat AI, User Gems AI), build prompts and agents, and ensure effective tagging and categorization Reporting and ROI Analysis: Assist marketing teams in reporting on the ROI of AI initiatives and participate in the Cvent AI council Gap Identification and Requirement Development: Identify gaps and develop requirements for the automation of manual tasks to enhance marketing efficiency and effectiveness Collaboration and Implementation: Collaborate with marketing team members to implement efficient AI strategies across different teams Participate in the Cvent Machine Learning Academy Evaluation of New Technologies: Evaluate new AI-focused marketing technologies for alignment with business objectives Stay Updated on AI Trends: Stay abreast of the latest AI trends and innovations, recommending and implementing new tools or practices to enhance marketing efforts Overview: Cvent s Global Demand Center is seeking an organized, strategic marketing professional with AI experience to join our team as an Assistant Team Lead, Marketing Technology Our ideal candidate is a skilled project manager with a passion for marketing technology, an understanding of how marketing systems intersect, and an eagerness to discover new solutions for business needs At Cvent, you'll be part of a dynamic team that values innovation and creativity you'll have the opportunity to work with cutting-edge technology and help drive our marketing efforts to new heights If you're passionate about marketing technology and AI, and thrive in a collaborative environment, we want to hear from you Heres What You Need: bachelors/masters degree in Marketing, Business, or a related field Exceptional project management skills, including attention to detail, stakeholder engagement, project plan development, and deadline management with diverse teams Advanced understanding of AI concepts and significant hands-on experience with tools like ChatGPT, Microsoft Azure, Claude, Google Gemini, Glean, etc Skilled in crafting technical documentation and simplifying complex procedures A minimum of 5 years of hands-on technical experience with various marketing technologies like marketing automation platforms, CRM and database platforms (eg, Salesforce, Snowflake) and other tools (eg, Drift, Cvent, 6Sense, Writer, Jasperai, Copyai) Strong capacity for understanding and fulfilling project requirements and expectations Excellent communication and collaboration skills, with a strong command of the English language Self-motivated, analytical, eager to learn, and able to thrive in a team environment

B.E/B.TECH/M.TECH GRADUATION/POST GRADUATION IN MECHANICAL ENGINEERING/AUTOMOTIVE ENGINEERING JOB ROLE Conduct ergonomics research studies to develop guidelines and best practices for assessing the ergonomic performance of new and facelift vehicle models Investigate driver and passenger interaction behaviors with vehicle controls, displays, and seating arrangements Utilize motion capture technologies like Vicon Motion Capture and eye-tracking systems such as TOBI Eye Tracker to capture and analyze these interactions Gather data through detailed user testing sessions, surveys Analyze the data to identify trends and patterns and provide actionable recommendations for vehicle design improvements based on ergonomic principles and feedback Prototyping vehicle and control layouts on Flexible Interior mockup based on vehicle proposals received from engineering, styling, and design Identification and implementation of new age technologies such as Augmented/ Virtual reality to enhance the research and development process, allowing for more accurate and efficient assessments of vehicle ergonomics COMPETENCY REQUIRMENTS. Strong analytical skills, proficiency in data analysis tools like Statistics Machine Learning, Python, MATLAB, Advanced Excel Capable of interpreting complex data sets to derive meaningful insights and support decision-making processes Proven experience in vehicle occupant packaging, ergonomics, and engineering design Excellent knowledge of CAD software eg UG NX and vehicle packaging software preferably RAMSIS Thorough understanding of automotive engineering guidelines and standards (ex SAE and AIS) Ability to understand the needs and usage habits of vehicle customers with different anthropometry, backgrounds, and preferences Knowledge or experience of Virtual/ Augmented Reality prototyping is an added advantage Experience in EMG to study muscle stress while performing physical tasks in a vehicle Excellent presentation and inter-personal skills Driving experience is essential SPECIFIC SKILLS UG NX, RAMSIS, Statistics, Machine Learning, Python, Advanced Excel

Job Description: Who are we? Saks is the premier destination for luxury fashion, driven by a mission to help customers express themselves through relevant and inspiring style. Since our inception in 1924, we have delivered one of a kind shopping experiences, featuring an expertly curated assortment of fashion and highly personalized customer service. Our unique approach combines an emphasis on the digital customer experience with a strong connection to a network of 41 extraordinary stores across North America for seamless, all-channel shopping. On its website ( https: / / www.saksfifthavenue.com / ) and app (iOS only), Saks offers an unparalleled selection of curated merchandise across fashion for women and men, across categories like beauty, jewelry, shoes, clothing, home decor and more. In addition to the shopping experience, customers come to Saks for inspiring editorial content, access to digital stylists, lifestyle experiences and other world-class services. The company is currently in the midst of a dramatic expansion, driven by significant enhancements to its platforms and offerings, with the goal of becoming the pre-eminent destination for luxury globally. About Saks Technology: Saks Technology teams are responsible for building and innovating the Saks online experience, consisting of different functional teams including Software Engineering, Quality Assurance, Stores, Technology Strategy and Enablement, Data and Machine Learning. About this role: As a Manager for the Web Platform and Client Applications, you will be responsible for designing and implementing highly innovative and interactive web applications for the Saks customer base. You will work directly with product managers, UX designers, and operations team members to deliver highly performant, robust solutions that create the best possible experience for our customers. Responsibilities Design and deliver software solutions for the Saks website and mobile web. Connect with other team leads across projects and organizations to drive wider tech vision forward Understand the bigger picture; conceptualize, articulate and influence how small details affect the overall success of projects to team members. Avoid being easily distracted by problems or obstacles Observe and raise strategic (outside of team) delivery risks and offer expert opinions on mitigation strategies Lead in a style that brings out the best in team members. Influence team to be better as a whole Coach and mentor team members to facilitate superior technical, team, and customer-facing outcomes Participate in the definition and refinement of effective software delivery processes such as CI / CD, TDD, development lifecycle, and architecture. Champion these efforts within working teams Research emerging technologies for application in the Saks consumer experience Reasonable tier 2 on-call responsibilities driven by modern alerting tools, such as OpsGenie and NewRelic Key Qualifications: In this role, you should be highly enthusiastic about technology, yet respectful and pragmatic about when and why to use specific solutions. You should be passionate about building strong, performant teams, but also be comfortable working with contractors and outsourcing firms as needed. Above all, you should be an effective communicator and a great collaborator, willing to work with a diverse group of people both within and without the product development organization. 9+ years developing and/or working cloud-based B2C or B2B web applications Demonstrated ability to mentor junior team members and develop internal experience in software best practices Experience developing consumer-facing applications that show strong empathy for the end-user experience Strongly desired : experience in the retail or fashion industries Experience with several of the following Swagger / OpenAPI / GraphQL Automated Contract Testing Server-side programming: NodeJS / Python / Ruby / Javascript / Go / Scala / Java AWS products and architecture Automated testing frameworks and TDD Sentry / Rollbar / Firebase Terraform CI / CD practices Docker / Kubernetes NewRelic / DataDog Interest and curiosity for working in a variety of languages and frameworks with flexibility towards the team and organizational adoption Your Life and Career at Saks: Be among the coolest people thriving in Saks work culture. Exposure to rewarding career advancement opportunities. A workplace that promotes a healthy, fulfilling work/life balance Benefits package for all eligible full-time employees (including medical, vision and dental). Thank you for your interest in Saks. We look forward to reviewing your application. Saks provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability. Saks welcomes all applicants for this position. Should you be individually selected to participate in an assessment or selection process, accommodations are available upon request in relation to the materials or processes to be used. Saks.com is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.