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Gandhi Nagar Mod

Job Summary

The SEO Optimizer will be responsible for planning, implementing, and managing our overall SEO strategy. This role will focus on driving targeted, qualified traffic, increasing organic search rankings, and optimizing content to deliver measurable results for the company and its clients.

Key Responsibilities

Strategy & Planning: Develop and execute successful SEO strategies, including thorough keyword research, competitive analysis, and content gap analysis.

Technical SEO: Conduct regular technical SEO audits (crawlability, site speed, structure, core web vitals, mobile responsiveness) and work with the development team to ensure all technical best practices are implemented.

On-Page Optimization: Optimize website content, landing pages, and meta data (title tags, meta descriptions, headers, internal linking) to maximize organic search visibility.

Off-Page SEO: Execute and manage link-building initiatives, outreach programs, and local SEO strategies (Google My Business) to build domain authority.

Content Collaboration: Collaborate closely with content creators and marketing teams to produce high-quality, SEO-friendly content and provide comprehensive guidelines on SEO best practices.

Performance Monitoring & Reporting: Monitor daily performance metrics using tools like Google Analytics, Google Search Console, SEMrush, and Ahrefs. Generate detailed reports on SEO performance, ranking movements, and traffic growth, providing actionable insights.

Algorithm Updates: Stay up-to-date with the latest SEO trends, search engine algorithm changes, and industry best practices to ensure continuous adaptation of strategies.

Required Qualifications & Skills

Experience: Minimum of 2-4 years of experience working specifically in Search Engine Optimization (SEO).

Technical Proficiency: Strong knowledge of HTML, CSS, JavaScript, and how they relate to SEO. Experience with CMS platforms (e.g., WordPress) is a plus.

Tool Expertise: Proven hands-on experience with SEO analysis and reporting tools (Google Search Console, Google Analytics, Moz, Ahrefs, SEMrush, etc.).

Analytical Skills: Excellent analytical and problem-solving skills with the ability to interpret data, identify trends, and translate data into recommendations.

Communication: Strong verbal and written communication skills for collaborating across teams and presenting data to stakeholders.

Education: Bachelor's degree in Marketing, Computer Science, Business, or a related field is preferred.

Why Join Shakuniya Solutions?

We offer a challenging and rewarding work environment where you can make a real impact. You will have the opportunity to work with modern technologies and strategies, contributing directly to the company's digital success.

To Apply: Please Visit for interview AT office 601, 6th floor, Apex Tower, Tonk Road, Jaipur – 302015



Shakuniya Solutions Private Limited

SEO Manager

Koramangala

Responsibilities

 Collect, clean, and analyze datasets.
 Develop reports and data visualizations.
 Identify trends and patterns in data.
 Collaborate on presentations and insights.

Requirements

 Enrolled in or graduate of a relevant program.
 Strong analytical skills and attention to detail.
 Familiarity with tools like Excel, SQL, or Python (preferred).
 Excellent communication and teamwork abilities.



Onetruweb Software Solutions Private Limited

Data Analyst

AWS Data Lead Role Highlights<ul><li>Lead and mentor a data engineering team while being hands-on with design &amp; development</li><li>Build and optimize data pipelines, data lakes, and data warehouse solutions on AWS</li><li>Collaborate with cross-functional teams to deliver high-impact data solutions</li><li>Balance leadership responsibilities with strong individual contribution</li></ul> Key Skills<ul><li>AWS Data Services (Redshift, Glue, EMR, S3, Lambda, Kinesis, Athena)</li><li>Strong in Python/SQL/Spark (PySpark)</li><li>Data modeling, pipeline design &amp; performance optimization</li><li>Team handling + stakeholder management experience</li></ul> Experience - 8+ Years Share your updated resume now.

Xebia 

Data Engineer

MIS EXECUTIVERoles and Responsibilities <ul><li>Participate in business analysis activities to gather required reporting and dashboard requirements</li><li>Closely work with Zonal Head and Branch team for data management</li><li>Participate with other specialist to convert legacy reports to BI solutions or central reporting system.</li><li>Transition developed reports and dashboards to the Operations &amp; Support team.</li><li>Provide support as required to ensure the availability and performance of developed reports and dashboards for all users.</li><li>Design and implement technology best practices, guidelines and repeatable processes.</li><li>Must be able to perform duties with moderate to low supervision.</li><li>Timeline and accuracy of reports to be maintained all the time.</li><li>Liner data management and analysis.</li></ul> Language &amp; IT Proficiency: <ul><li>Highly proficient in the English language (Written and Verbal communications)</li><li>Knowledge of MS Office (Excel)</li></ul> Skills <ul><li>Planning &amp; Schedule Orientation</li><li>Prioritization and organizing</li><li>Data analysis</li><li>Time Management</li><li>Networking skills</li><li>Team Player</li><li>Attention to detail</li></ul> Minimum Qualifications and Experience: <ul><li>MBA/ PG/ Graduate in any stream</li><li>1 to 3 years’ experience in MIS Management in BFSI/NBFC sector</li></ul>

Muthoot Fincorp Limited

MIS Executive

Data Scientist- Gen AI (3-5 years exp only)As a Data Scientist, you'll play a crucial role in supporting data-driven projects, performing routine data analysis tasks, and assisting with model development and testing. Your role involves contributing to various stages of the data science lifecycle and providing insights that help shape business strategies. This position is suited for those with a foundational understanding of data science and are eager to deepen their expertise. Responsibilities: • Contribute to more advanced data collection and preprocessing efforts. • Assist in developing and testing machine learning models. • Perform descriptive data analysis and provide preliminary insights. • Create visualizations and reports to support data findings. • Manage and maintain data repositories efficiently. • Support senior data scientists in feature creation and selection. • Participate in collaborative projects with cross-functional teams. • Help automate data processing tasks using scripts. • Contribute to model validation and performance testing. • Stay informed about emerging data science tools and methodologies. Skills: • Advanced Data Cleaning: Enhanced preprocessing and data wrangling techniques. • Intermediate Python: Proficiency in Python for data science tasks. • SQL: More advanced SQL querying skills. • Data Visualization: Ability to create meaningful visualizations using tools like Tableau or Matplotlib. • Machine Learning Basics: Understanding of basic machine learning concepts and algorithms. • Statistical Analysis: Intermediate statistical methods and their applications. • Communication: Articulating data insights clearly to non-technical stakeholders. • Problem-Solving: Effective in identifying data-related issues and providing solutions.Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.<h4>Experience Level</h4>Mid Level

Wolters Kluwer

Data Scientist

Analytics Senior Analyst - AVP<h4>Job Description:</h4>In Scope of Position based Promotions (INTERNAL only) Job Title: Analytics Senior Analyst AVPLocation: Jaipur, IndiaRole DescriptionYou will be joining the Data &amp; Analytics team as part of the Global Procurement division.The team’s purpose is:<ul><li>Deliver trusted third-party data and insights to unlock commercial value and identify risk</li><li>Develop and execute the Global Procurement Data Strategy</li><li>Deliver the golden source of Global Procurement data, analysis and insights via dbPi, our Tableau self-service platform</li><li>Provide data and analytical support to Global Procurement prioritised change initiatives</li></ul>The team leverages several tools and innovative techniques to create value added insights for stakeholders across end-to-end Procurement processes including, but not limited to, third party Risk, Contracting, Spend, Performance Management, etc. In this role, you will support Reporting workstream lead in TPC KD program in conducting various key activities like reporting requirement gathering from stakeholders, feasibility assessment, prioritization, development, testing and delivery for various releases of the tool. Also, you will be responsible to support other areas within D&amp;A team’s wider portfolio.What we’ll offer youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy<ul><li>Best in class leave policy</li><li>Gender neutral parental leaves</li><li>100% reimbursement under childcare assistance benefit (gender neutral)</li><li>Sponsorship for Industry relevant certifications and education</li><li>Employee Assistance Program for you and your family members</li><li>Comprehensive Hospitalization Insurance for you and your dependents</li><li>Accident and Term life Insurance</li><li>Complementary Health screening for 35 yrs. and above</li></ul>Your key responsibilities<ul><li>You engage with stakeholders as part of TPC program to gather reporting business requirements and take complete ownership end to end to deliver them in dbContractsPro.</li><li>You will own design of dbContractsPro dashboard and analytics reporting to be utilised by platform users and user groups. You will also focus on designing regulatory compliance reporting key performance, risk, and control indicators to facilitate various governance forums.</li><li>You will collaborate with SI/CIO partners to ensure requirements are delivered accurately following the timelines &amp; priorities.</li><li>You own the data model in google cloud by ingesting contracts data to create operational view for consumption and to be able to link this data with other GP data sources within cloud environment.</li><li>You develop a sound understanding of the various tools and entire suite of analytical offerings on the standard procurement insights platform called dbPi.</li><li>You take end to end responsibility to develop new analytical products/dashboards ranging from requirement gathering, feasibility &amp; impact analysis, development, testing and engaging with stakeholders.</li></ul>Your skills and experienceWe are looking for talents with a degree (or equivalent) in Engineering, Mathematics, Statistics, Sciences from an accredited college or university (or equivalent) to develop analytical solutions for our stakeholders to support strategic decision making. Any professional certification in Advanced Analytics, Data Visualisation and Data Science related domain is a plus.<ul><li>Creative thinker, problem solver driven by intellectual curiosity to understand the challenges and opportunities.</li><li>You have the aptitude to understand stakeholder’s requirements, gather data from relevant sources, perform analysis and interpret the results in a user-friendly manner such as visually in Tableau</li><li>You display enthusiasm to work in data analytics domain and for continuous learning and improvement of your skills.</li><li>A champion of using technology to solve problems and drive outcomes, as well as business acumen to understand content and client outcomes. </li><li>Excellent communicator and team-player, engaging at every level of the business.</li><li>Familiarity with complex large organizations, managing suboptimal data or processes and crafting a satisfactory outcome.</li><li>Knowledge of Statistics and mathematics beneficial.</li><li>Skills to complete projects on time and to the company’s high standards.</li><li>You demonstrate an understanding of different analytical tools like Tableau, Databases, Alteryx, MS Excel to work with large datasets and derive insights for decision making.</li><li>Data analysis and reporting skills are essential. Experience of big datasets welcome.   </li><li>Experience with dashboard development and data visualisation tools. Tableau, PowerBi, SQL big query.</li><li>Experience with modern data clouds, GCP, Azure, Snowflake, and varying data schemas.</li><li>Knowledge of regulatory compliance reporting requirements.</li><li>Familiarity with Sirion or similar contract lifecycle management software beneficial.</li></ul>How we’ll support you<ul><li>Training and development to help you excel in your career</li><li>Coaching and support from experts in your team</li><li>A culture of continuous learning to aid progression</li><li>A range of flexible benefits that you can tailor to suit your needs</li></ul>About us and our teamsPlease visit our company website for further information:<a href="https://www.db.com/company/company.html" rel="noopener noreferrer" target="_blank">https://www.db.com/company/company.html</a>We strive for a <a href="https://careers.db.com/inside-deutsche-bank/our-culture" rel="noopener noreferrer" target="_blank">culture </a>in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.<h4>Experience Level</h4>Senior Level

Deutsche Bank

Senior Analyst

Data Scientist (Python/ GenAI/ AgenticAI)KEY RESPONSIBILITIESActive Learner with Enthusiasm for Problem-Solving Continuously learn and apply new AI/ML techniques, including Generative AI, Agentic AI deep learning, and other emerging technologies. Demonstrate a passion for solving complex business challenges and experimenting with novel approaches to improve model performance.Quick Prototyping &amp; Experimentation Develop rapid prototypes to test new AI/GenAI/ML approaches and solutions for business problems. Implement proof-of-concept models quickly, enabling fast experimentation and iteration to assess feasibility before scaling to full development.Support AI Product Development &amp; Iteration Collaborate with lead/ senior data scientists and cross-functional teams to support the design, development, and deployment of AI-driven products. Contribute to the creation of prototypes and refine models based on business needs and feedback.Model Development and Optimization Design, develop, and test machine learning, deep learning, and generative AI models, focusing on performance, scalability, and business relevance. Continuously refine and optimize models based on real-world results and metrics.Data Preparation &amp; Collaboration Assist in defining data requirements and support data engineers in building data pipelines. Clean and preprocess datasets, ensuring data quality and preparing it for use in machine learning applications. Collaborate closely with engineers to integrate models into production systems.Research Support and Knowledge Sharing Stay informed about the latest trends and research in AI/GenAI/ML and generative models, applying this knowledge to current projects. Actively participate in team discussions, contribute to the evaluation of new techniques, and share insights with peers to foster a collaborative learning environment.ESSENTIAL SKILLS·       Good knowledge of Python programming language, data engineering and data science ecosystem in Python.·       Hands on experience in Generative AI, Agentic AI, LLM and Advance RAG techniques.·       Hands on experience in developing and supporting Machine Learning solutions.·       Hands on experience in developing Natural Language Processing (NLP) solutions·       Hands on experience on SQL ecosystem·       Hands on experience on Solr framework with Python·       Experience of working on Linux and shell scripting·       Basic statistical modelling knowledge·       Strong Computer Science fundamentals are must. (Data structures, Algorithms, OS, Databases).·       Good communication and organizational skills with significant attention to detail·       Experience partnering with cross-functional teams of domain experts, engineers, data scientists, and production support teams.·       Strong attention to detail with excellent problem-solving skills.·       Desire and ability to thrive in a distributed technical environment while working on multiple projects simultaneously.·       Passionate about latest technology trends with a strong desire for innovation.·       Self-motivated, self-managing and able to work independently.EDUCATION AND EXPERIENCE·       Bachelor's degree (B.E/ B Tech. computer science, engineering, statistics/mathematics or a related field) from a four-year college or university, or equivalent, master’s a plus.·       Total at least 1 years of experience working on enterprise AI products·       Experience in supporting software products or applications in the AI ML domain.·       The above statements are intended to describe the general nature and level of work being performed by most people assigned to this job. They are not intended to be an exhaustive list of all duties and responsibilities and requirements.Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Senior Data Analyst(6+ years only with Python and PowerBI exp)- Immediate JoinersAbout the Role: As a Senior Data Scientist, you will engage in comprehensive data analysis, contributing significantly to key projects and driving actionable insights. You will work with a variety of data sets and employ advanced statistical techniques to support predictive modeling and business optimization efforts. This role is ideal for individuals with a solid data science foundation who are eager to tackle more complex challenges and make a tangible impact on the business. Responsibilities:<ul><li>Monitor key financial KPIs like revenue and transaction volumes.</li><li>Consolidate data from invoicing databases, Salesforce, and Arrow.</li><li>Segment metrics by customer attributes to identify trends.</li><li>Provide insights for strategic planning and performance reviews.</li><li>Collaborate with cross-functional teams for alignment.</li><li>Analyze data to find growth opportunities and solve business challenges.</li><li>Develop models to identify trends and test hypotheses.</li><li>Refine business models and build data-backed business cases.</li><li>Streamline and automate reports and dashboards.</li><li>Promote a data-driven culture.</li><li>Collaborate cross-functionally to achieve these goals.</li><li>Mentor junior data scientists and share knowledge within the team.</li></ul> Skills:<ul><li>Proficient in data visualization and business intelligence tools such as Tableau and Power BI for creating interactive dashboards and reports</li><li>Strong programming skills in Python, with hands-on experience using libraries like NumPy, Pandas, and Matplotlib for data transformation and analysis</li><li>Skilled in automating data workflows using Python, including Excel automation with openpyxl and task automation using custom scripts</li><li>Familiarity with Excel macros and VBA for automating repetitive tasks and enhancing reporting efficiency</li><li>Working knowledge of Advanced Excel functions (e.g., pivot tables, lookups, dynamic formulas) and SQL for data manipulation and reporting</li><li>Comfortable working with large datasets and optimizing queries for performance, by using analytics / cloud tools</li><li>Ability to understand business workflows and underlying challenges, and proactively propose more efficient alternatives to drive continuous improvement</li></ul> Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.<h4>Experience Level</h4>Senior Level

Azure Data Engineer Key Skills We’re Looking For:<ul><li>Strong hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse, Azure SQL</li><li>Expertise in ETL/ELT pipelines and data modeling</li><li>Proficiency in PySpark / Python / SQL</li><li>Knowledge of Azure Data Lake, Power BI</li><li>Solid understanding of data integration, migration, transformation, and cloud data engineering best practices</li></ul> Experience - 3+ yearsImmediate joiners are prefer Share your updated resume now.

Analytics Senior Analyst - Global Procurement, AVP<h4>Job Description:</h4>Job Title: Analytics Senior Analyst - Global Procurement, AVP Location: Jaipur, India Corporate Title: AVPRole DescriptionAs Reporting and Insights Manager, you will own dbContractsPro dashboard and analytics reporting utilised by platform users and user groups. You will also focus on regulatory compliance reporting and report on key performance, risk, and control indicators to facilitate various governance forums. This role involves collaborating with the Data Steward to ensure compliant reporting and defining functional requirements concerning regulatory notifications within dbContractsPro. Furthermore, you will generate reports to track business case benefits and support platform users in accessing and interpreting TPC system data for decision-making.What we’ll offer youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy<ul><li>Best in class leave policy</li><li>Gender neutral parental leaves</li><li>100% reimbursement under childcare assistance benefit (gender neutral)</li><li>Sponsorship for Industry relevant certifications and education</li><li>Employee Assistance Program for you and your family members</li><li>Comprehensive Hospitalization Insurance for you and your dependents</li><li>Accident and Term life Insurance</li><li>Complementary Health screening for 35 yrs. and above</li></ul>Your key responsibilities <ul><li>Manage and maintain dbContractsPro dashboard and analytics reporting.</li><li>Co-ordinate changes to data feeds from TPC with Google Cloud and D&amp;A data team.</li><li>Focus on regulatory compliance reporting and KPI/KRI/KCI reporting to various governance forums.</li><li>Collaborate with the Data Steward to ensure compliant and high-quality reporting. Assist data steward and wider D&amp;A team on data quality topics.</li><li>Generate reports to track business case benefits realisation.</li><li>Monitor regulatory developments and ensure ongoing TPC compliance through reporting.</li><li>Present on reports on KPIs, benefits, exceptions, and compliance, supporting decision-making and governance.</li><li>Support D&amp;A with data standards and ensuring high quality of data around the contracts systems.</li></ul>Your skills and experienceWe are looking for talents with a Degree (or equivalent) in Engineering, Mathematics, Statistics, Sciences from an accredited college or university (or equivalent) to develop analytical solutions for our stakeholders to support strategic decision making. Any professional certification in Advanced Analytics, Data Visualisation and Data Science related domain is a plus.<ul><li>Creative thinker, problem solver driven by intellectual curiosity to understand the challenges and opportunities.</li><li>A champion of using technology to solve problem and drive outcomes, as well as business acumen to understand content and client outcomes. </li><li>Excellent communicator and team-player, engaging at every level of the business.</li><li>A starter and finisher – able to introduce new ideas, engage others and embed changes.</li><li>Familiarity with complex large organisations, managing suboptimal data or processes and crafting a satisfactory outcome.</li><li>Knowledge of Statistics and mathematics beneficial.</li><li>Skills to complete projects on time and to the company’s high standards.</li></ul><ul><li>Data analysis and reporting skills essential. Experience of big datasets welcome. </li><li>Be a ‘starter and a finisher’ someone with deep commitment to understanding and being the go to expert for the CLM tool.</li><li>Experience with dashboard development and data visualisation tools. Tableau, PowerBi, SQL big query.  </li><li>Experience with modern data clouds, GCP, Azure, Snowflake, and varying data schemas.</li><li>Knowledge of regulatory compliance reporting requirements.</li><li>Familiarity with Sirion or similar contract lifecycle management software beneficial.</li><li>Effective communication with senior management up to Vice President level. Ability to influence, through expert knowledge.</li><li>Ability to translate data into actionable insights.</li><li>Ability to work effectively in a collaborative environment.</li></ul>How we’ll support you<ul><li>Training and development to help you excel in your career</li><li>Coaching and support from experts in your team</li><li>A culture of continuous learning to aid progression</li><li>A range of flexible benefits that you can tailor to suit your needs</li></ul>About us and our teamsPlease visit our company website for further information:<a href="https://www.db.com/company/company.html" rel="noopener noreferrer" target="_blank">https://www.db.com/company/company.html</a>We strive for a <a href="https://careers.db.com/inside-deutsche-bank/our-culture" rel="noopener noreferrer" target="_blank">culture </a>in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.We welcome applications from all people and promote a positive, fair and inclusive work environment.<h4>Experience Level</h4>Senior Level

Senior GenAI Data ScientistAt Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.<h4>A Day in the Life</h4>Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. We’re a mission-driven leader in medical technology and solutions with a legacy of integrity and innovation, join our new Minimed India Hub as Senior Gen AI Data Scientist. As a Gen AI Data Scientist, you will play a critical role in our Data and AI operations. The primary responsibility will be to apply Gen AI and advanced machine learning and computer science techniques to develop, validate, modify, and test AI systems for specific business needs at an advanced level. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdictionResponsibilities may include the following and other duties may be assigned:<ul><li>Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>Develop and implement AI models, machine learning algorithms, Gen AI applications to solve business problems.</li><li>Analyze large, complex datasets to identify trends, patterns, and insights.</li><li>Develop processes and tools to finetune, evaluate, monitor, and analyze model performance and accuracy.</li><li>Use software design principles and AI Copilot/AI builders to develop production ready code.</li><li> Collaborate with cross-functional teams to define project objectives and deliverables.</li><li>Design and execute experiments to test hypotheses and validate model Communicate findings and insights to stakeholders in a clear and concise manner.</li><li>Stay up-to-date with the latest advancements in Gen AI, data science and machine learning techniques.</li><li>Mentor and provide guidance to junior data scientists.</li></ul>Required Knowledge and Experience:<ul><li>Strong understanding of ML algorithms and techniques: supervised and unsupervised learning, deep learning. Deep knowledge in NLP, Computer Vision, and GenAI, including architectures like Transformers, BERT, GPT, etc.</li><li>Strong programming skills in languages such as Python. Must be an expert in writing ML code.</li><li>Working experience with full-stack web development (using either Python backend + React frontend or AI builders like <a href="https://lovable.dev" rel="noopener noreferrer" target="_blank">lovable.dev</a>  and <a href="https://www.builder.io" rel="noopener noreferrer" target="_blank">builder.io</a>).</li><li>Proficiency in data manipulation and analysis using SQL and Spark. Can build vector DB.</li><li>Hands-on experience in state-of-the-art ML and DL as applied to large-scale datasets.</li><li>Hands-on experience with ML frameworks and libraries (PyTorch, Scikit-learn, NLTK, llama-index, Langchain, Lang Graph).</li><li>Solid understanding of statistical concepts and techniques. Strong Math background.</li><li>Solid understanding of feature engineering, model evaluation techniques, vector DB, Agentic and RAG applications.</li><li>Working experience with cloud computing platforms (AWS). </li><li>Working experience with deploying, monitoring, finetuning LLM/VLM models and building AI agents.</li><li>Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Mathematics, or related field).</li><li>Proven experience as a GenAI Data Scientist or Machine Learning Engineer. Minimum of 5 years of relevant experience.</li></ul>Preferred Qualifications:<ul><li>We’re looking for someone with 5-10 years of experience manipulating data sets and building ML models/GenAI applications, has a PhD in a quantitative or engineering field.</li><li>Hands-on experience with big data technologies, vector database, LLMs, RAG applications.</li><li>Working knowledge of cloud computing platforms (AWS, Databricks).</li><li>Experience with cloud ML platforms (Bedrock or Databricks ML).</li><li>Hands-on experience with data orchestration tools and CI/CD (Databricks Workflow, MLFlow, GitHub Action)</li><li>Expert in deploying and monitoring ML models, LLM/VLM models.</li><li>Ability to drive projects.</li></ul>Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. <h4>Benefits &amp; Compensation</h4>Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create.  We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. <h4>About Medtronic</h4>We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people.  We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&amp;D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.Learn more about our business, mission, and our commitment to diversity <a href="http://www.medtronic.com" rel="noopener noreferrer" target="_blank">here</a>   <h4>Experience Level</h4>Senior Level

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Data Science Analytics Jobs In Rajasthan State - 11 Verified Vacancies

SEO Manager

Data Analyst

Data Engineer

MIS Executive

Data Scientist

Senior Analyst

Data Scientist

Data Analyst

Data Engineer

Senior Analyst

Data Scientist