861 Data Mining Jobs - Page 24

Role & responsibilities : Have experience on advance Excel (Vlookup, Hlookup, Index and match, pivot, power pivot etc.) Responsible for publishing process reports at Daily Weekly & monthly frequency Manage MIS Documentation and SOP to ensure business continuity; Good in VBA to design macros to automate daily task Provide support and maintenance to existing MIS Data warehousing. Generate and publish reports dashboards accurately as per specifications and within TAT Collaborate the Reports and provide meaningful insights;Have 1-2 year job knowledge about excel, access and SQL Reevaluate the clients reporting requirements and enhance effectiveness of dashboards reports Taking care of all customer requests on various adhoc reports Generating adhoc reports to give better view of progress for all employees Headcount Reconciliation and maintaining updated headcount list, SAP Validation Handling all queries related to ID Management Stack preparation on a weekly and monthly basis; Prepare SOP & documentations and specifications Help write and optimize in-application SQL statements Preferred candidate profile : Good verbal & written communication & presentation skills Excellent Interpersonal skills with out of the box problem solving approach Ability to handle demanding working environment and work under pressure Ability to maintain focus while working with voluminous data Effective Organizational and time management skills Knowledge of data, data analytics * data mining processes Knowledge of SQL, Tableu and Power BI, Qlik Sense, Must posses Data Analytcs experience Required Candidate Specification : • 3+ years of Data Analytics & MIS experience • 3+ years of IT/ITeS industry experience • Strong decision making skills • Strong analytical skills • Flexibility to work shifts • Ability to work under pressure • Ability to handle varied products and clients

NUTRIS CROP SOLUTIONS INDIA PVT.LTD is looking for DATA ANALYST to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Goodwin Financial Holdings (P) Ltd. is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Role: At Simplify Healthcare AI, we are focused on building industry-focused AI models. We are seeking a highly skilled and passionate Senior Data Scientist to join our dynamic team. In this role, you will be at the forefront of designing, developing, and implementing advanced machine-learning models that will have a direct impact on our products and offerings. Responsibilities: Data Preprocessing : Organize, categorize, and prep data for processing. Identify incomplete, incorrect, inaccurate or irrelevant portions of data and interpret, cleanse or replace/delete them as needed. Advanced Data Analysis : Utilize advanced statistical techniques to analyze complex, large sets of data, and extract actionable insights that will help drive decision-making processes across various functions of the business. Model Development : Develop, refine, and implement machine learning algorithms and statistical models that will help create data-driven solutions to business problems. Also responsible for validating and testing these models to ensure accuracy. Collaboration : Work closely with the team of engineers and product designers to understand technical and business requirements, convert these to analytic solutions, and integrate them into our product suite. Insight-Driven Business Decisions : Utilize and translate complex results from the data analyses and models into strategic recommendations for both technical and non-technical stakeholders. Presentations : Represent the data science team in cross-functional teams to ensure correct and impactful data science principles are incorporated. Effectively present complex statistical concepts and results, as well as their implications, to a non-technical audience. Mentoring and Leadership : Provide mentorship and guidance to junior data scientists in the team, educate them on best practices, and guide them in their career paths. Required Skills: Minimum of 5 (Five) years of working experience as a data scientist. Strong knowledge of machine learning models, data mining, and databases. Experience with programming languages such as Python, SQL, etc. Knowledge of distributed data/computing tools like MapReduce, Hadoop, Hive, and Spark. Exceptional problem-solving skills, attention to detail, and a team player. Strong communication skills, with the ability to present complex technical findings to non-technical stakeholders. Experience in mentoring junior data scientists or leading a data science team is preferred.

Senior Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Mandatory Qualifications: Bachelors/masters degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 3+ years of high quality hands-on experience in analytics and data science Hands on experience in SQL, Python and Tableau Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

We are seeking a highly skilled and experienced Data Scientist to join our team and contribute to the development of innovative solutions in the mainframe domain. The ideal candidate will have a strong background in data analysis, machine learning, deep learning and GEN AI domain. This role involves leveraging data to derive insights, build predictive & generative models, and enhance our mainframe services. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Build out prototypes using a variety of cutting-edge technologies and tools. Develop quantitative models using a variety of programs/software to support predictive assessments. Support adoption of Artificial Intelligence (AI) and Machine Learning (ML) solutions. Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models & techniques. Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques. Design algorithms that require several different models/methods to be used in an ensemble. Deploy models into production. To ensure youre set up for success, you will bring the following skillset & experience: Proven experience as a Data Scientist with expertise in Machine learning, Deep Learning and MLOps. Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning. Familiarity with different LLM Architectures. Strong programming skills in languages such as Python. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Proficiency in data visualization tools (e.g., Tableau, Kibana) and experience with dashboard creation. Knowledge of SQL for data manipulation Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Collaborate with domain experts to understand business requirements and formulate data-driven solutions. Implement strategies for model optimization, taking into account the constraints and requirements of mainframe environments. Whilst these are nice to have, our team can help you develop in the following skills: Bachelors degree in computer science, Engineering, or a related field with 8 years of Data Science, or a related field experience. Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning Solid understanding in NLP concepts and familiarity with NLP libraries. Familiarity in writing Python backend APIs using Fast API, Flask or other frameworks. Knowledge of fine tuning LLMs including Llama, BERT and GPT based. Self-starter and intellectual curiosity Great communication skills, ability to explain predictive analytics to non-technical audience. Familiarity with machine learning frameworks and libraries. Proficiency in data exploration techniques and tools Familiarity with observability tools and practices. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). Knowledge of statistical analysis, hypothesis testing, and data visualization techniques. Experience with Agile methodology, use of Atlassian products Jira, Confluence. Worked on multiple Gen AI projects and delivered them E2E successfully. Knowledge of forecasting and predictive modeling. Any Azure or AWS Cloud certification Experience with big data technologies (e.g., Hadoop, Spark). Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. Mainframe knowledge is a plus.

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions. We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics Key Responsibilities: Technically lead team and liaise with business stakeholders to ensure that business requirements are fully understood before commencing design and development. Hands-on coding and helping team members solve technical problems and provide technical SME knowledge and guidance. Understand and design of the application and own any changes required to the application for any new requirements & ensure it complies with department standards. Forward thinking for new technologies and required accessibility. Guide developers in implementing best-of-breed technical solutions based on agreed technical design, adopting industry standard development patterns and methodologies (including continuous integration and automated unit and integration testing) Responsible for ensuring implemented solutions have sufficient and appropriate automated testing in advance of User Acceptance Testing Managing continual service improvement ensuring incremental improvements to the Service, corrective measures to recover service performance, and eventually the demise of the Service when it is no longer required. Lead from the front and demonstrate excellence in owning the end-to-end delivery of software from analysis through to release to production and support. We deliver each change to production before moving onto the next. Requirements Qualifications External To be successful in this role you should meet the following requirements: Bachelor s degree in computer science engineering or related field. 12+ years of relevant IT experience. Experience in implementing data solution using Big Data technologies on-prem and cloud. Strong Knowledge on Big Data Technologies like Hadoop, Spark etc. Strong knowledge of software development methodologies Technical expertise with data models, data mining, and segmentation techniques Programming experience in a modern language (e.g., Scala and Python) Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA. Good experience on Agile Methodologies like Scrum, Kanban, and managing IT backlog. Passion for technology and understanding how things work, actively keeps themselves up to date . Ability to work across geographies, understanding the diversity and bringing people together . You ll achieve more when you join HSBC. HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working, and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Job Description We are looking for a candidate with 5+ years in Machine learning & good exposure to python/R/cognitive services that will help us to find insights from big data and build Machine learning algorithms for our machine learning systems. Your primary focus will be in applying data mining techniques, doing statistical analysis, and writing python/R codes for developing Machine learning algorithms. Responsibilities: Requirement gathering, solutioning & client interaction Translate requirement into AI/ML solution Leading & mentoring a team of Data Scientists Data mining over varied data sources Identify key evaluation metrics Processing, cleansing, verifying integrity of data used for analysis Writing Python/R codes to use state of the art techniques for building and optimizing classifiers using machine learning techniques Ad-hoc analysis and results presentation in cleaner manner Qualifications Experience with common data science libraries such as Numpy, Pandas etc. Experience in Text data used NLP is mandatory. Experience scripting and programming skills with Python/R/Cognitive services. Framew

Job Description As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

Description Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with our revolutionary microinverter technology, which turns sunlight into a safe, reliable, resilient, and scalable source of energy to power our lives. Today, the Enphase Energy System helps people make, use, save, and sell their own power. Enphase is also one of the fastest growing and innovative clean energy companies in the world, with approximately 68 million products installed across more than 145 countries. We are building teams that are designing, developing, and manufacturing next-generation energy technologies and our work environment is fast-paced, fun and full of exciting new projects. If you are passionate about advancing a more sustainable future, this is the perfect time to join Enphase! About the role The Quality Analyst will be responsible for monitoring field upgrades, analysing and interpreting product quality data through the entire product lifecycle. Provides essential leadership and support for the data management activities of the Release Management Team. Collaborates with Engineering/Quality/CS teams and Information Technology. What you will do Understand Enphase products and factory releases to develop and maintain end-to-end field update data and visualization models. Accountable for automation of end-to-end field upgrades, automation and presenting the field upgrade metrics to various key stakeholders. Collaborate with cross-functional teams to learn about key software releases, compatible hardware, gaps and come up with data models. Guide the team for successful field upgrades. Monitor field upgrades, using data mining techniques and analytics tools such as SQL, excel, Power BI and automate the same as needed to identify issues and alert to teams if any issues as result of upgrades. Responsible for debugging any of the field upgrade issues and doing a replan and schedule with zero or minimal impact to the Enphase customers. Understand current field upgrade process and automate generation and monitor metrics related to deployment for monitoring and analysis (pre-post upgrade) using Python or any other scripting language. Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive product/process improvements. Troubleshooting field upgrade issues and escalate to Engineering/Quality/CS teams and drive corrective actions by modifying data models, implementing data validation and quality control measures. Responsible for the architecture and design of data platforms & visualization models by envisioning and executing strategies that will enable and leverage modern data science capabilities Who you are and what you bring Bachelors degree in quantitative fields such as Computer science, Electrical Engineering, Electronics and Communication Engineering or a related discipline with good knowledge of Data science. 7 to 10years experience, proven experience as a Data Analyst or similar role, preferably in the energy or solar industry Strong proficiency in Python programming for data analysis, including libraries such as Pandas, NumPy, Scikit-learn, Plotly, Seaborn or matplotlib Solid understanding of statistical concepts and experience with statistical analysis tools Experience with data warehousing concepts and proficiency in SQL for data extraction and manipulation Proficient in data visualization tools such as Excel, Incorta, Tableau, Power BI Excellent analytical, critical thinking and problem-solving skills, with the ability to translate complex data into actionable insights Strong attention to detail and a commitment to delivering high-quality work within tight deadlines Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders

Skills: IT Sales, Marketing, Inside Sales,. Company Name :Ndimension Labs. Job TitleInside Sales and Marketing Intern (Paid). Stipend 5K. QualificationGraduate. LocationKasba, Kolkata. Job TypeFull Time. TimingMonday to Friday 10 am 7 pm. About The Role :. Run email campaigns. Maintaining and updating the lead generation database. Follow up with leads on a regular basis. Sell IT services in International Market through LinkedIn and Email Marketing. Identifying and generating new business opportunities around the globe through market research and data mining etc.. Excellent written and verbal communication skills. Excellent in Internet search and Email writing. It is a paid Internship with Job Offer and the selected candidate has to serve six months internship with our organization. After successfully completing the internship in our organization, the candidate will get absorbed as a permanent employee. Interested Candidates can send CV to this WhatsApp number8240794759.

Skills:. IT Sales, Marketing, Inside Sales,. Company Name :Ndimension Labs. Job TitleInside Sales and Marketing Intern (Paid). Stipend 5K. QualificationGraduate. LocationKasba, Kolkata. Job TypeFull Time. TimingMonday to Friday 10 am 7 pm. About The Role :. Run email campaigns.. Maintaining and updating the lead generation database. Follow up with leads on a regular basis. Sell IT services in International Market through LinkedIn and Email Marketing.. Identifying and generating new business opportunities around the globe through market research and data mining etc... Excellent written and verbal communication skills.. Excellent in Internet search and Email writing.. It is a paid Internship with Job Offer and the selected candidate has to serve six months internship with our organization. After successfully completing the internship in our organization, the candidate will get absorbed as a permanent employee.. Interested Candidates can send CV to this WhatsApp number8240794759.

As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e

About vmedulife Software vmedulife Software provides integrated cloud LMS software used by millions of users. We have built great software and excellent client services. Now for further achievements, we are looking for more team members who are self-driven, skilled, and excited to join the vmedulife team soon. Come to work in a growing company that offers great benefits with opportunities to advance and learn. We are looking for a Data Mining Intern to assist in the business expansion phase. Job description Understands Social Media platforms and can extract meaningful data (business leads) The Candidate should have Good knowledge of primary research. Qualifying the contacts/prospects by calling the operator that is relevant to the specification. Required Candidate profile Any Graduate Must have Laptop Good knowledge of MS Excel/PowerPoint. Compiling and analyzing data using different methods to collect it. Build customer database/lists viz. region-wise, product-wise, and campaign-wise.

Location(s): Noida-Greater Noida Expressway, Sector - 129, Plot No. C3-C, Noida, Uttar Pradesh, IN Line Of Business: Insurance(INSURANCE) Job Category: ESG Analytics, Data & Research Experience Level: Experienced Hire At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong knowledge of using Moody s RMS Models is required with relevant 6 years of experience. Strong analytical and problem-solving abilities. Strong database and data mining skills - Good knowledge of Excel, Access, and SQL is required. Excellent written and verbal communication. Collaborative and stakeholder management R, VBA, Power BI and Python knowledge is preferred. Education B.E / B. Tech (preferably Civil/Mechanical Engineering) from IIT/NIT or other reputed universities OR MBA Finance/Insurance/Operations Research or master s in mathematics/ Statistics/Operations Research/Economics from top-tier universities. Responsibilities As the Assistant Director of Risk Management, you will lead client-facing risk analytics initiatives, overseeing activities such as requirement scoping, report design, data preparation, modeling, and result presentation. Prior experience in leading a risk analytics team either in full or in part is highly advantageous. The role requires outstanding communication and presentation skills, along with the ability to navigate and collaborate within a global, matrixed organization. As a technical expert, you will be expected to demonstrate strong problem-solving abilities and take an active role in mentoring team members to strengthen both their technical expertise and business understanding. Exhibit in-depth knowledge of Moody s RMS models (model methodology, schema) Hands-on end-to-end account modeller and can perform Portfolio/ Cedant analysis, understanding exposure preparation and enrichment is a big plus Provide high quality exposure and loss analysis, build relevant insights to enable swift business decisions at the client-end. Assess input data quality and highlight potential improvements to client along with impact of data fallacy/inadequacies. Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions. Drive process improvements which increase utility or efficiency of analysis. Own project compliance by ensuring processes, guidelines and SOPs is followed Manage client escalations, minimize potential issues Ensure continual improvement through efficiency improvement through process reengineering or automation ideas Manage high performing assets, groom process champions Support client onboarding from Transition to Business-As-Usual phase by collaborating with other RMS teams. Interface with Moody s RMS client development and other technical teams on client engagements. Support vertical head and new opportunities team for developing new service lines. About the team Our Analytical Services team is dedicated to providing clients with advanced catastrophe insights and deliverables, leveraging Moody s RMS models and programming tools. Our department Analytical service aligns with Moody s Insurance segment object to grow by providing high quality deliverables and insights to the clients. By joining our team, you will be part of exciting work in Insurance domain specifically to the catastrophe modeling located in Noida, India.

Amazon s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. Our systems process billions of products to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog. We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands to be added to Amazon s catalog. The datasets produced by our team are used by teams across Amazon to improve: product information, search and discoverability, pricing, and delivery experience. Our work involves building state-of-the-art Information Retrieval (IR) systems to mine the web and automatically create structured entities from un-structure/semi-structured data. We constantly stretch the boundaries of large scale distributed systems, Elastic Computing, Big Data, and SOA technologies to tackle challenges at Amazon s global scale. Come join us in our journey to make everything - and yes, we do mean *everything* - that anyone wants to buy, available on Amazon! We are looking for SDEs with strong technical knowledge, established background in engineering large scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from design to coding, testing, and deployment, to achieve results in a fast paced environment. - Work with Sr.SDEs and Principal Engineers to drive the technical and architectural vision of SM systems responsible for generation of structured domain entities from structured/semi-structured data. - Develop systems and extensible frameworks for complete lifecycle management of domain entities and inter-entity relationships. - Build scalable platform capabilities for data processing, meta data generation, guardrails and anomaly detection . - Solve complex problems in automated identity generation, web-to-Amazon namespace translation, and classification of products. - Design and develop solutions for efficient storage and vending/search of products and related information. - Utilize serverless and big data technologies to develop efficient algorithms that operate of large datasets. - Lead and mentor junior engineers, and drive best practices around design, coding, testability, and security. - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Bachelors Degree in Computer Science, advanced degrees preferred. - Experience building complex software systems that have been successfully delivered to customer. - Deep technical expertise and hands-on architectural understanding of distributed and service-oriented architectures. - Has delivered large-scale enterprise software systems or large scale online services. - Solid programming skills in OO languages (Java/Scala/C++/Python etc) and a deep understanding of object oriented design. - Advanced knowledge of data structures and at ease in optimizing algorithms. - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelors degree in computer science or equivalent - 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Masters degree in computer science or equivalent - A deep understanding of software development life cycle and a good track record of shipping software on time - Experience in data mining, machine learning algorithms, rules engines, and workflow systems. - Deep understanding of SOA with proven ability in building highly scalable and fault tolerant systems using Cloud computing technologies. - Deep understanding of Map Reduce paradigm with experience in building solutions using Big Data technologies like Spark, Hive etc . - Experience in developing efficient algorithms that operate on large datasets. - Exposure to AWS technologies is a big plus.

Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. The Supply Quality team in Bangalore has the charter to build data-science focused products and platforms for indexing and modulating the quality of supply in Amazon Advertising. One of our key focus areas is Traffic Quality where we endeavour to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning, large language models, and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms, including advanced LLM-based detection systems, that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend. We typically process ad-impressions and clicks in the orders of billions per day. To handle data at this scale, we use open source technologies like Hadoop, Spark, Redis and Amazons cloud services like EC2, S3, EMR, DynamoDB and RedShift. We build and deploy complex machine learning, LLM-powered systems, and advanced optimization algorithms that operate at scale. All of our systems tend to be loosely coupled, communicating using synchronous and asynchronous messaging, leading to a classic distributed processing architecture. We are building real-time platforms to detect robotic clicks by evaluating complex bot patterns on the traffic data, enhanced by LLM-based pattern recognition. We are also building a large-scale data mining platform to automatically detect anomalies in traffic patterns and identify complex feature combinations that explain the anomaly. The Traffic Quality team is looking for talented Engineers who enjoy working on creative algorithms, building large-scale systems and who thrive in a fast paced fun environment. As an engineer you would design business critical systems, write high quality code and mentor other engineers. You should have owned, designed and delivered multiple products. You have deep knowledge of Java/C++, Object-oriented Design, Service Oriented Architecture, and experience with LLM integration. You are passionate about building massively scalable solutions and distributed systems. Amazon.com offers competitive salary, stock grants, health and other benefits. - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelors degree in computer science or equivalent

At Amazon, we strive to be the most innovative and customer centric company on the planet. Come work with us to develop innovative products, tools and research driven solutions in a fast-paced environment by collaborating with smart and passionate leaders, program managers and software developers. This role is based out of our Bangalore corporate office and is for an passionate, dynamic, analytical, innovative, hands-on, and customer-centric Business analyst. This role primarily focuses on deep-dives, creating dashboards for the business, working with different teams to develop and track metrics and bridges. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs In-depth research of drivers of the Localization business Analyze key metrics to uncover trends and root causes of issues Suggest and build new metrics and analysis that enable better perspective on business Capture the right metrics to influence stakeholders and measure success Develop domain expertise and apply to operational problems to find solution Work across teams with different stakeholders to prioritize and deliver data and reporting Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using Advanced SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerce? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you. Amazon is looking for a Business Analyst for the Beauty and Softlines category team. We are looking for customer obsessed, data driven entrepreneurs to join our growing team. Solve some of the hardest problems for our customers. If you want operate at start up speed, solve some of the hardest problems and build a service which customers love, Amazon.in might just be the place for you. The Business Analyst is responsible for driving deep insights about relevant business area and driving continuous improvement using the analysis. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems. Some of the key result areas include, but not limited to: Work closely with business managers and stakeholders to understand business issues and recommend solutions to ensure business questions are properly answered Understand trends related to Amazon business and recommend strategies to stakeholders to help drive business growth. Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines. Respond with urgency to high priority requests from senior business leaders. Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of the business. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon s data resources and know how, when, and which to use and which not to use. The ideal candidate actively seeks to understand Amazon s core business values and initiatives, and translates those into everyday practices. - Bachelors degree required. BE is preferred. - 2 - 5 years of work experience with at least 2 years of experience working in a similar role - Exposure to data mining tools like SQL ,SAS, SPSS etc - Deadline driven, team player, with strong customer focus. Outstanding analytical, problem solving, and organizational skills - Must be detail-oriented with a demonstrated ability to self-motivate and follow through on issues - Experience in a highly analytical, results-oriented environment with cross functional interactions. - Strong analytical, mediation and problem resolution skills. - Excellent written and oral communication skills. - Attention to detail and capability to work on multiple projects in parallel - Experience with SQL or ETL - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages - Experience writing business requirements documents, functional specifications, and use cases - Experience defining requirements and using data and metrics to draw business insights - Masters degree in business or analytical discipline

BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. To ensure youre set up for success, you will bring the following skillset & experience: Design and develop platform solution based on best practices and web standards. Participate in all aspects of product development, from requirements analysis to product release. Lead features and participate in architecture and design reviews. Design enterprise platform using agile methodology. This includes creating detailed design using UML, process flows, sequence diagrams, and pseudo-code level details ensuring solution alignment. You have strong diagnostics, debugging, and troubleshooting skills. Ability to work flexible hours and stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations. Provides complete documentation in the form of commented code, problem status information, and design documents. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. To ensure youre set up for success, you will bring the following skillset & experience: You have 8+ years of experience with application development using Python, Java, RESTful services, high-performance, and multi-threading. Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. You have experience in a Web based environment utilizing React, Angular, server-side rendering, HTML, CSS, JavaScript and TypeScript. You have knowledge and experience with build tools such as Gradle and Maven. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). You are familiar with modern version control system such as Git. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of SQL for data manipulation Great communication skills, ability to explain predictive analytics to non-technical audience. Proficiency in data exploration techniques and tools Familiarity with observability tools and practices. You have knowledge of design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation and performance at scale. Whilst these are nice to have, our team can help you develop in the following skills: Experience with Agile methodology, use of Atlassian products Jira, Confluence) CI/CD (Jenkins) environment with popular DevOps tools CA-DNP

Process NameCustomer Support Role MIS executive or Senior Executive Reporting to-Vikram singh and dotted line reporting to Sanjay Rau LocationJaipur Industry TypeAny Employment TypeFull-Time, Work TimingDay shift (1 rotational week off) MIS executive will be responsible for creating and publishing all support related roles as in when requested and suggested Will act as back up if needed in future for other process Key Responsibilities Generate and publish all MIS related reports for support function Create desired PPT from time to time as suggested Automate reports via different tool for seamless process dissemination Collaborate with various teams to resolve complex reporting issues Run campaigns on dialer as in when required and suggested Required Candidate Profile Minimum of 4-5 years of experience in MIS (Exceptions can be created ) Excellent in creating reports in excel, PDF, PPT or any other format required or suggested Strong ability to work collaboratively with cross-functional teams. Familiarity with different analytics tool like quicksight , dialer etc will be added bonus Proficiency in MS OFFICE Suite Educational Qualifications UGAny Graduate(Exception if needed can be created or discussed) Show more Show less

Job description Technical Director Structural Design to lead the structural design function for iconic and large-scale commercial developments , including high-rise buildings, data centers, IT parks , and corporate campuses . The ideal candidate will bring deep expertise in complex structural systems, seismic and wind design, and the use of cutting-edge design software and digital tools. This is a strategic leadership role that combines technical oversight with innovation, cost optimization, and team development. Key Responsibilities: Strategic & Technical Leadership Define structural design standards and strategies for large-scale commercial and high-rise projects. Lead the conceptual and detailed structural design for towers, podiums, basements, and specialized infrastructure like server halls (for data centers). Innovate and implement sustainable and resilient design solutions tailored to seismic zones, high wind regions, and heavy-load requirements (especially for data centers). Project Oversight Review and approve structural designs, drawings, and calculations for compliance with IS codes, NBC, and relevant international standards (ACI, Eurocode, IBC). Provide technical direction from pre-design through construction documentation, ensuring coordination across architectural and MEP disciplines. Ensure structural systems meet both safety requirements and architectural vision. Design Excellence Promote advanced design practices including the use of post-tensioning , precast systems , high-performance concrete , steel-composite structures , and seismic dampers . Drive adoption of digital engineering tools BIM (Revit/TEKLA), ETABS, SAFE, STAAD.Pro, SAP2000 , etc. Lead design optimization and value engineering reviews to reduce costs while maintaining performance. Stakeholder & Regulatory Coordination Interface with clients, architects, consultants, and government bodies for design approvals, peer reviews, and compliance checks. Coordinate with project management and execution teams to ensure design intent is maintained during construction. Team Development Build, manage, and mentor a high-performing team of structural engineers and modelers. Foster a culture of innovation, collaboration, and continuous learning. Key Skills & Competencies: Expertise in structural design of high-rise towers , large-span structures , data centers with raised floors , and commercial office buildings . Deep understanding of seismic, wind, vibration , and load-path considerations in complex buildings. Strong grasp of construction techniques and interdisciplinary coordination . Excellent leadership, decision-making, and communication skills. Familiarity with LEED, GRIHA , or other green building certifications is a plus. Preferred Background: Experience with large-scale urban development projects. Prior work with top-tier real estate developers, engineering consultancies, or multinational architecture/engineering firms. Projects delivered in metro cities or seismic-prone zones are highly desirable. Qualifications Qualifications: Required: Bachelor's degree in Civil/Structural Engineering; Master's preferred 20+ years of experience in structural engineering, 10+ years in leadership roles Professional Engineering (P.E.) license Expertise in high-rise buildings, data centers, and large-scale commercial developments Advanced proficiency in structural analysis software (ETABS, SAFE, STAAD.Pro, SAP2000) Strong knowledge of BIM tools (Revit, TEKLA) and relevant building codes Experience with innovative structural systems and project management Preferred: Ph.D. in Structural Engineering or related field Additional certifications (SE, LEED AP) Experience with sustainable design and green building certifications Track record of successful project delivery in major metropolitan areas or seismic zones Additional Information Excellent english communication skills. About AECOM AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2024. Learn more at aecom.com. What makes AECOM a great place to work You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, youll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career youve always envisioned. Here, youll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Oversee the Analytics team, ensuring the development of analytical solutions for 30+ markets in the US Build and manage a global team of 30+ data analysts and scientists Handle team building, goal setting, development plans, and team restructuring Provide direction and oversight for the architecture, technical design, development, quality assurance, and support readiness of analytics projects Manage the planning and roadmap definition for all analytics solutions within the analytics projects Collaborate with senior leadership, stakeholders, and infrastructure teams to define technical architecture, policies, processes, and budget management Drive innovation and build strategies for technology modernization, including infra modernization and cloud adaptation Foster positive relationships with internal and external customers to ensure profitability and customer satisfaction Utilize the OKR (Objectives and Key Results) approach to define and track team goals and accomplishments Ensures that all the standard requirements have been met and is involved in performing the technical analysis Assists the project manager by compiling information from the current systems, analyzing the program requirements and ensuring that it meets the specified time requirements Resolves moderate problems associated with the designed programs and provides technical guidance on complex programming Develop and implement analytics solutions for 31 states using structured and unstructured data stored in Snowflake Apply advanced statistics, data science methodologies, and AI practices, including generative AI skills leveraging GPT models Perform data mining, cleaning, and aggregation processes to prepare data for analysis Query and manage data in Snowflake, ensuring data quality and integrity Communicate complex data insights through storytelling with data and visualizations using Power BI Collaborate with non-technical and functional stakeholders from health plans to provide prescriptive analytics and help them find answers to data questions Lead and mentor junior data scientists, providing guidance on best practices and methodologies Ensure expertise with ML Ops for deploying and managing machine learning models in production Work in an agile environment, contributing to sprint planning, reviews, and retrospectives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 8+ years of experience in data science, with a solid background in traditional ML modeling, statistics, and data science methodologies Experience with ML Ops and deploying machine learning models in production Proficiency in Microsoft Fabric, Azure Stack, Azure ML, and Snowflake querying Expertise in AI practices, including generative AI skills leveraging GPT models Solid skills in storytelling with data and creating visualizations using Power BI Familiarity with embeddings and other advanced data science techniques Proven excellent communication and collaboration skills to work with non-technical stakeholders Ability to work in an agile environment and contribute to team success Preferred Qualifications Master’s degree in Data Science, Statistics, Computer Science, or a related field Experience with healthcare data and knowledge of the healthcare industry At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together Primary Responsibilities Creates and maintains a healthy product/team backlog with quantifiable benefits and justification Works closely with engineering team to deliver on roadmap commitments Understands the product, user personas and business processes in which the product is used Demo the product to clients, users and leadership team; to identify growth and efficiency opportunities Work with stakeholders to gather requirements, update on progress, identify/mitigate risks Work with the engineering team in building the right solution Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelors degree in IT/computers/Information science Masters degree in business management/product management from tier 1 institute 8+ years of experience in technical product management and US healthcare Experience in US healthcare payment integrity, claim 'fraud, waste, abuse, error' detection, data mining Solid product management skills - build and launch phase Solid analytical and problem solving skills Proven excellent in stakeholder management Proven excellent and verbal communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a dynamic and skilled Lead AIML Engineer who is passionate about solving real world problems in the healthcare domain using cutting edge capabilities and emerging technologies. As a Lead AI/ML Engineer, the candidate will be responsible for developing AI business case, solution design and collaborating with other senior leaders, stakeholders, and customers to ensure alignment, integration of AI/ML capabilities with mentoring and leading the Data Science resources for contact analytics area. The Ideal Candidate will follow advancements in the state-of-the-art methods that are relevant to the particular use case and provide recommendations for model development and experimentation. Primary Responsibilities: Lead Artificial Intelligence (AI) Engineer Design innovative AI solutions to various business problems, utilizing cutting-edge AI technologies like Generative AI, Large Language Models, RAG, Reinforcement learning, Agentic AI Communicating analytics model behavior/results to Stakeholders Carrying out technical risk analysis and reliability assessments Mentor, Guide the team of scientists, data analysts, and business stakeholders to design and deploy AI solutions Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption Take a leadership role in the data science community of experts Evaluate and implement best practices in AI/ML, data mining, and analytics Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Master’s degree in computer science, Computer Engineering, Data Science, Information Technology, or related field 10+ years of work experience with at least one of the following languagesPython, Java, and R 5+ years of experience in high-level architecture design and solution development for large-scale AI/ML systems Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modeling, and NLP Experience and knowledge of Large Language Models, RAG, Transformers Comprehensive knowledge of modern data science and product/web analytics tools and tehcniques including python and associated data science ecosystem, machine learning, Azure Machine Learning etc. Broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments Knowledge of Cloud platform supporting AI Implementation like Azure ML Studio Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps Proven track record in industry use cases utilizing deep and machine learning techniques Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Demonstrated ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals Demonstrated ability to provide mentorship and guidance for the efficient and technical development of the members of your team Proven expertise in predictive analytics, machine learning, deep learning architecture, Large Language Models, RAG, and text analytics with NLP Proven exceptional communication skills to articulate technical solutions to both technical and non-technical audiences Proven strategic thinking in systems capacity planning, hardware and software updates, and migration At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.