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Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour&rsquo;s.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

Microsoft

<div>
 
 Overview
 
 
 
 Are you an experienced Data Scientist, and you love what you do? Would you like to be a part of a global customer facing Team focussed on solving complex, real-world business problems? Would you like to be a part of a worldclass community of technical leaders, highly specialised in their disciplines and working together as one to bring the best practices of Artificial Intelligence, Machine learning, Engineering and Architecture to world&rsquo;s largest enterprise customers?
 
 
 The Industry Solutions Delivery (ISD) Engineering &amp; Architecture Group (EAG) is a global engineering consulting organisation that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data &amp; AI.  EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate ethical, transparent and trustworthy AI solutions.
 
 
 We are hiring a Data Scientist with deep experience in advanced statistical data analysis, machine learning and artificial intelligence.
 
 
 Our team embraces a continuous learning and growth mindset, encourages diverse viewpoints and relentless collaboration. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact economy and people worldwide.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
 </li>
 <li>
 Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity.
 </li>
 <li>
 Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders.
 </li>
 <li>
 Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process.
 </li>
 <li>
 Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems.
 
 
 </li>
 </ul>
 Business Understanding and Impact
 
 
 Leverages understanding of data science and business to examine a project and consider factors that can influence final outcomes within a technical area. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Documents key business objectives. Effectively communicates business goals in analytical and technical terms. Consistently shares insights with stakeholders.
 
 
 Data Preparation and Understanding
 
 
 Acquires necessary data for project completion and describes it using querying, visualization, and reporting techniques. Explores data for key attributes and contributes to development of quality reports. Collaborates with others to perform data-science experiments using established methodologies and tools. Partners with Solution Architects, Consultants, and Data Engineers in data preparation efforts. Identifies data integrity problems and adheres to Microsoft's privacy policy.
 
 
 Modeling and Statistical Analysis
 
 
 Applies machine learning knowledge to identify the best approach for project objectives, utilizing individual algorithms and modeling techniques. Selects the appropriate approach to prepare data, train, optimize, and evaluate the model for statistical and business significance. Writes scripts in SQL, Python, R, etc. Designs experiments, analyzes results, and communicates findings to stakeholders. Understands operational considerations for model deployment and partners with data engineering teams to develop operational models.
 
 
 Evaluation
 
 
 Understands the relationship between the model and business objectives. Tests models on test and production data, analyzes performance, and incorporates customer feedback. Reviews data analysis and modeling techniques to identify overlooked or reexamined factors. Contributes to the review summary.
 
 
 Industry and Research Knowledge/Opportunity Identification
 
 
 Learns and understands the current state of the industry, including knowledge of tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance. Maintains knowledge of current trends within the discipline. Attends internal research conferences and participates in on-hands training, when appropriate. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
 
 
 Coding and Debugging
 
 
 Writes efficient and readable code for specific features, collaborating with other engineering teams to optimize code and improve system efficiency, reliability, and maintainability. Develops expertise in debugging techniques and integrates data models into customer systems. Understands big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, CI/CD, Docker, Delta Lake, MLflow, AML, and REST API consumption/development.
 
 
 Business Management
 
 
 Develops understanding of data structures and relationship to customer business goals, observes senior engineers for best practices in identifying growth opportunities and exploring ML applications. Understands customer business goals and demonstrates a strong commitment to Responsible AI, supporting customers, partners and internal stakeholders in building trustworthy AI solutions.
 
 
 Customer/Partner Orientation
 
 
 Focuses on customer needs, manages expectations, and enhances customer excellence. Learns from senior team members to develop insights and communicate results. Understands the impact of data quality on model accuracy and can explain it to customers.
 
 
 
 Other
 
 
 
 Embody our culture and values
 
 
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field, with proven 4 years of data science experience in business context.
 </li>
 <li>
 Be able to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges.
 </li>
 <li>
 Hands-on software engineering experience (e.g. Python, Scikit, PyTorch,C++) with main established data science frameworks.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with building and deploying largescale AI solutions into production within a cloud environment
 </li>
 <li>
 Experience dealing with internal and external stakeholders on large, complex projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist 2

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
 
 
 
 In Your Role, You May Be Responsible For
 
 
 
 <ul>
 <li>
 Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data &amp; incorporating machine learning. techniques in your projects
 </li>
 <li>
 Writing programs to cleanse and integrate data in an efficient and reusable manner
 </li>
 <li>
 Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
 </li>
 <li>
 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
 </li>
 <li>
 Evaluating modelling results and communicating the results to technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Create technical documentation, white papers, and best practice guides
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
 </li>
 <li>
 Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

LTIMindtree

<div>
 
 Role : Senior Python Developer
 
 
 Job Location : Hyderabad
 
 
 Notice : Immediate Joiners
 
 
 Skill : Python
 
 
 
 
 
 
 
 Job Description
 
 
 :
 
 
 
 
 
 We are seeking an experienced
 
 Senior Python Developer
 
 to support our banking technology and
 
 Generative AI initiatives
 
 . This role involves building secure, scalable applications and advanced AI-driven solutions for critical document processing, risk analytics, and compliance reporting.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop object-oriented applications using
 
 Python
 
 with expert-level software engineering practices.
 </li>
 <li>
 Work with
 
 Vector Databases
 
 for embedding storage and retrieval optimization.
 </li>
 <li>
 Design and implement
 
 GenAI lifecycle management
 
 and
 
 RAG pipelines
 
 (chunking, embedding, retrieval, re-ranking, summarization) for banking use cases.
 </li>
 <li>
 Evaluate and test
 
 embedding models
 
 and frameworks for performance, latency, memory, and cost optimization.
 </li>
 <li>
 Apply
 
 prompt engineering
 
 , hallucination mitigation, and grounding techniques for AI solutions.
 </li>
 <li>
 Build API-driven applications using
 
 FastAPI
 
 ,
 
 API Gateway
 
 , and integrate with
 
 MongoDB
 
 ,
 
 Redis
 
 , and front-end frameworks (
 
 Angular/React
 
 ).
 </li>
 <li>
 Develop
 
 utilities, automation frameworks
 
 , and
 
 data pipelines
 
 to support AI/ML and GenAI initiatives.
 </li>
 <li>
 Create
 
 monitoring dashboards
 
 and automation scripts for system health and performance.
 </li>
 <li>
 Collaborate with
 
 DevOps teams
 
 using enterprise tools (
 
 Git/Bitbucket
 
 ,
 
 Jenkins
 
 ,
 
 SonarQube
 
 ,
 
 Artifactory
 
 ,
 
 Ansible
 
 ).
 </li>
 <li>
 Work with large cross-functional teams to deliver secure, compliant, and scalable solutions.
 </li>
 <li>
 Explore
 
 Agentic architectures
 
 for orchestration and multi-step reasoning in AI workflows.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 Primary Skill:
 
 Python
 </li>
 <li>
 
 Secondary Skills:
 
 Vector DB, Django, Flask, FastAPI
 </li>
 <li>
 
 5+ years
 
 of experience in object-oriented programming using
 
 Python
 
 with strong software development skills.
 </li>
 <li>
 Deep experience in
 
 GenAI lifecycle management
 
 and
 
 RAG pipelines
 
 .
 </li>
 <li>
 Expertise in
 
 prompt engineering
 
 and AI safety techniques.
 </li>
 <li>
 Hands-on experience with
 
 MongoDB
 
 ,
 
 Redis
 
 ,
 
 FastAPI
 
 , containerization (Docker/Kubernetes), and API integrations.
 </li>
 <li>
 Strong knowledge of
 
 model testing and evaluation frameworks
 
 for performance and reliability.
 </li>
 <li>
 Solid understanding of
 
 DevOps practices
 
 and enterprise tooling.
 </li>
 <li>
 Ability to work effectively with large cross-functional teams in a regulated environment.
 </li>
 </ul>
 
 
 Preferred (Desired) Skills
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, Azure) and serverless architectures.
 </li>
 <li>
 Knowledge of Agentic architectures and orchestration frameworks.
 </li>
 </ul>
 
 Exposure to AI/ML use cases in regulatory relations or risk analytics.
 
</div>

Python Developer

PepsiCo

<div>
 
 Overview
 
 
 
 The Data Science Senior Analyst (Lead Data Scientist) is part of the Data Impact Benelux team. This team is responsible for supporting the Benelux commercial data strategy and ecosystem through developing and implementing advanced analytics solution and a comprehensive business intelligence roadmap. The team works closely with the marketing &amp; commercial ecosystem to ensure all commercial data are leveraged in the most optimal way.
 
 
 
 Responsibilities
 
 
 
 As the lead data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for BENLUX markets e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.
 
 
 The position exists to unlock competitive advantage in go-to-market and execution through cutting edge data science, advanced analytics, and AI techniques, with a focus on OT, TT and AFH for BENLUX. The focus of this role is ensuring the successful implementation of data science solutions that deliver. The role holder will also leverage best practice to help to establish a reusable data science ecosystem.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or advanced degree in a quantitative field for instance a Master&rsquo;s degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
 </li>
 <li>
 7 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
 </li>
 <li>
 Proven experience with medium to large size data science projects
 </li>
 <li>
 Advanced knowledge of key data science techniques:
 </li>
 <ul>
 <li>
 Combining data from multiple sources through APIs, Semantic Web, etc.
 </li>
 <li>
 Data preparation and feature engineering
 </li>
 <li>
 Supervised / Unsupervised learning
 </li>
 <li>
 Collaborative Filtering
 </li>
 <li>
 Location Analytics &amp; Intelligence
 </li>
 </ul>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Good to have experience with data processing frameworks (e.g., Hadoop, Spark)
 </li>
 <li>
 Good to have understanding of data engineering principles, data integration, and ETL processes.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate business needs into data-driven solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
</div>

Sales Analyst

Matillion

<div>
 
 
 Ready to shape the future of data?
 
 
 
 
 
 Matillion is the intelligent data integration platform.
 
 
 
 
 
 
 
 We're changing how the world works with data &ndash; and we need driven, curious people who think big and move fast.&nbsp;
 
 
 
 
 
 
 
 We built the
 
 Data Productivity Cloud
 
 to supercharge data productivity, and now we&rsquo;re shaping the future of data engineering with
 
 Maia
 
 &ndash; our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed.
 
 
 
 
 
 
 
 Join #TeamGreen, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves.
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 This is the definitive performance ownership role for the Matillion Data Productivity Cloud, where you will act as the technical expert who sees the entire system end-to-end. Your mission is to define, drive, and deliver the performance strategy across the platform&rsquo;s control plane, data plane, agents, workflow engines, APIs, and UI to ensure it is fast, predictable, and resilient at massive scale.
 
 
 
 
 
 You will thrive in a large-scale, multi-region environment with a hybrid SaaS model, cutting through complexity to build a clear performance narrative that drives tangible engineering outcomes. This critical leadership role directly shapes both the customer experience and the company&rsquo;s bottom line by ensuring the platform remains efficient and stable as we continue our aggressive growth trajectory.
 
 
 
 
 
 
 What you will be doing
 
 <ul>
 <li>
 Define and drive the Performance Vision and Strategy, establishing clear, measurable targets for latency, throughput, cost efficiency, and workload scalability across the Data Productivity Cloud
 
 </li>
 </ul>
 <ul>
 <li>
 Conduct deep-dive profiling and complex root cause analysis across distributed systems, investigating API latency, memory/CPU pressure, queue back-pressure, and network bottlenecks
 
 </li>
 </ul>
 <ul>
 <li>
 Build, maintain, and own repeatable, scalable benchmarking frameworks covering agent performance, concurrency, workflow orchestration throughput, and end-to-end user journeys
 
 </li>
 </ul>
 <ul>
 <li>
 Drive significant Cost Performance and Efficiency improvements by utilizing telemetry and empirical data to reduce runtime operational costs (compute, memory, storage, network)
 
 </li>
 </ul>
 <ul>
 <li>
 Act as the technical performance expert to influence feature design, technical architecture, and implementation patterns across engineering teams to prevent regressions and embed performance guardrails
 
 </li>
 </ul>
 
 
 
 
 What we are looking for
 
 <ul>
 <li>
 Proven experience as a Principal Engineer specializing in performance for large distributed systems, ideally within a high-growth SaaS or data platform environment
 
 </li>
 </ul>
 <ul>
 <li>
 Deep expertise in Java and Spring Boot, with strong JVM performance engineering skills, including GC tuning, heap/thread optimization, and low-latency design
 
 </li>
 </ul>
 <ul>
 <li>
 Strong systems-level understanding of technologies like Kubernetes, container runtimes, Python performance, network behavior, and cloud architecture (AWS)
 
 </li>
 </ul>
 <ul>
 <li>
 The ability to influence engineers across teams without direct authority, shaping architecture, patterns, threading models, and concurrency to eliminate bottlenecks
 
 </li>
 </ul>
 <ul>
 <li>
 Expertise with modern observability stacks (e.g., OTel, Prometheus, Grafana, Datadog) and hands-on experience designing and running meaningful load, chaos, and stress scenarios
 
 </li>
 </ul>
 
 
 
 
 
 
 
 At Matillion, we&rsquo;re here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren&rsquo;t for the faint-hearted, and we don&rsquo;t shy away from them. But we don&rsquo;t do it alone. No egos, no politics - just great people working together, guided by our six core values;
 
 
 
 
 
 
 
 - Confidence without arrogance
 
 
 
 
 - Working with integrity
 
 
 
 
 - Customer obsessed
 
 
 
 
 - Innovate and demand quality
 
 
 
 
 - Bias for action
 
 
 
 
 - We care
 
 
 
 
 
 
 
 We operate a flexible working culture that promotes work-life balance, with benefits including:
 
 
 
 
 
 
 
 - Company Equity
 
 
 
 
 - 27 days paid time off
 
 
 
 
 - 12 days of Company Holiday
 
 
 
 
 - 5 days paid volunteering leave
 
 
 
 
 - Group Mediclaim (GMC)
 
 
 
 
 - Enhanced parental leave policies
 
 
 
 
 - MacBook Pro
 
 
 
 
 - Access to various tools to aid your career development
 
 
 
 
 
 
 
 
 More about Matillion
 
 
 
 
 
 Thousands of enterprises including
 
 Cisco
 
 ,
 
 London Stock Exchange Group
 
 ,
 
 EDF
 
 and
 
 Slack
 
 trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world.&nbsp;
 
 
 
 
 
 
 
 We are keen to hear from prospective Matillioners, so even if you don't feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you're interested in Matillion but don't see a suitable role, please email talent@matillion.com.
 
 
 
 
 
 
 
 Find out more about life on #TeamGreen
 
 here
 
 .&nbsp;
 
 
 
 
 
 
 
 Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.&nbsp;
 
 
 
 
</div>

Principal Performance Engineer

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