Qureos Mentor

Infogain

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Job Description:</b></p><p>
The Data Science department plays a pivotal role in our company, generating value to us by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. <b>What You'll Be Doing</b></p><ul><li>Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis</li><li>Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models</li><li>Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes</li><li>Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance</li><li>Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics</li><li>Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively</li><li>Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments</li><li>Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities</li></ul><p><b>
Qualifications</b></p><ul><li>B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field</li><li>3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.</li><li>Strong understanding and practical experience with various machine learning algorithms.</li><li>Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis</li><li>Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design</li><li>Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions</li><li>Proficiency in data visualization libraries, to create meaningful visual representations of complex data</li><li>Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders</li><li>Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment</li></ul><p>
Advantages:</p><ul><li>Experience in the fraud domain</li><li>Experience with Airflow, CircleCI, PySpark, Docker and K8S</li></ul></div><br>
<p></p>
<p>EXPERIENCE</p>
<ul><div>6-8 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Data Science</div>
<div>Sub Skill(s): Data Science
</div><div>Additional Skill(s): Data Science</div></ul></div><p></p>

Data Science Analyst (Senior)

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Overview</b></p><p>
The AI Engineer &amp; Architect will design, build, and optimize AI solutions that improve decision-making across the organization. This role blends technical engineering with business understanding, ensuring AI models are accurate, scalable, and aligned with company strategy. Strong communication and presentation skills are essential, as this role works closely with leaders and cross-functional teams.</p><div></div><p><b>
Key Responsibilities</b></p><ul><li><p>
Develop and refine AI models using Snowflake Cortex, RAG, and Power BI Copilot.</p></li><li><p>
Measure and improve model performance, accuracy, and reliability.</p></li><li><p>
Validate SQL code, DAX formulas, and Power BI semantic models to ensure metric accuracy.</p></li><li><p>
Support strategic decision-making by presenting insights clearly to leadership.</p></li><li><p>
Track, triage, and resolve user questions related to AI tools and dashboards.</p></li><li><p>
Drive adoption of AI solutions and help users understand model outputs.</p></li><li><p>
Design AI architecture and best practices for scalable, high-quality solutions.</p></li><li><p>
Partner with cross-functional teams to manage AI-related projects and deliver results on time.</p></li></ul><div></div><p><b>
Required Skills &amp; Qualifications</b></p><ul><li><p>
Strong understanding of AI systems: RAG, ChatGPT, Snowflake Cortex, Power BI Copilot.</p></li><li><p>
Advanced SQL and experience writing/validating code in Snowflake.</p></li><li><p>
Proficiency with Power BI, DAX, and data modeling.</p></li><li><p>
Skills in Python, Excel, and data exploration.</p></li><li><p>
Strong data analytics and storytelling abilities.</p></li><li><p>
Excellent communication, presentation, and stakeholder engagement skills.</p></li><li><p>
Techno-functional mindset with the ability to bridge business and technical teams.</p></li><li><p>
Project management experience is a plus.</p></li></ul><p>
Experience in QSR, restaurant, or retail analytics preferred. Strong experience in architecting and designing AI/ML solutions for large-scale projects Expertise in building scalable, maintainable, and performant AI/ML architectures Experience in defining and implementing software development processes and best practices Familiarity with frontend technologies and design systems Experience in leading teams of AI/ML developers and providing technical guidance Strong understanding of AI/ML libraries and frameworks like TensorFlow, Keras, PyTorch, etc.</p></div>
<p>EXPERIENCE</p>
<ul><div>18-21 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: AI/ML Development</div>
<div>Sub Skill(s): AI/ML Development
</div><div>Additional Skill(s): Power BI, Snowflake, SQL, TensorFlow, Pytorch, GenAI Fundamentals</div></ul></div><p></p>

AI/ML Architect (Standard)

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p>Generative AI Architect (AWS)</p><p>
Job Description</p><p>
Job Summary</p><p>
We are seeking an experienced Generative AI Architect with deep expertise in designing, building, and scaling Generative AI and Large Language Model (LLM)&ndash;based solutions on cloud platforms. The role requires strong architectural leadership and hands-on implementation skills, particularly using Python-based AI/ML frameworks, to deliver secure, scalable, and production-grade GenAI systems.</p><p>
________________________________________</p><p>
Eligibility</p><p>
Minimum Qualifications</p><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li></ul><p>
OR Master&rsquo;s degree in Statistics, Data Science, Economics, Operations Research, or a related discipline.</p><ul><li>12&ndash;15+ years of experience in Analytics, Data Science, AI/ML, or advanced engineering roles.</li><li>Extensive hands-on experience with Generative AI and LLM-based solutions.</li><li>Strong proficiency in Python, with experience building AI/ML and GenAI applications.</li><li>Proven experience designing and deploying solutions on AWS.</li><li>Solid understanding of data engineering, model lifecycle management, and production deployment.</li></ul><p>
________________________________________</p><p>
Core Technical Skills (Required)</p><p>
Generative AI &amp; LLM Architecture</p><ul><li>Expertise in:</li></ul><p>
o Prompt design and prompt engineering using Python-based frameworks</p><p>
o Retrieval-Augmented Generation (RAG), Corrective RAG, and hybrid retrieval approaches</p><p>
o Knowledge Graph&ndash;based RAG implementations</p><p>
o Multi-agent and agentic frameworks implemented in Python</p><p>
o Model evaluation, hallucination mitigation, and response quality measurement</p><ul><li>Experience with:</li></ul><p>
o Fine-tuning techniques such as LoRA / QLoRA using Python ML stacks</p><p>
o Reranking, embedding strategies, and semantic search optimization</p><p>
o Automated and human-in-the-loop evaluation frameworks</p><p>
Python &amp; AI/ML Development</p><ul><li>Advanced proficiency in Python for:</li></ul><p>
o Developing GenAI services, APIs, and orchestration layers</p><p>
o Integrating LLMs with vector databases, search engines, and data sources</p><p>
o Building reusable libraries and modular AI components</p><ul><li>Experience with Python libraries and frameworks such as:</li></ul><p>
o LangChain, LangGraph, LlamaIndex or similar</p><p>
o FastAPI or Flask for AI service deployment</p><p>
Multimodal AI</p><ul><li>Experience or strong architectural exposure to:</li></ul><p>
o Text, image, audio, and video AI workflows</p><p>
o Multimodal generation pipelines orchestrated via Python services</p><p>
o Content structuring, summarization, and transformation using GenAI</p><p>
AWS &amp; Cloud Architecture</p><ul><li>Strong hands-on experience with AWS services, including:</li></ul><p>
o Amazon Bedrock, SageMaker</p><p>
o Lambda, ECS/EKS</p><p>
o S3, OpenSearch, DynamoDB, RDS</p><p>
o IAM, VPC, KMS, CloudWatch</p><ul><li>Experience designing:</li></ul><p>
o Secure, scalable, and cost-optimized GenAI architectures</p><p>
o VPC-isolated AI workloads and governed access models</p><p>
o CI/CD pipelines and Python-based MLOps workflows</p><p>
Data &amp; Platform Engineering</p><ul><li>Solid understanding of:</li></ul><p>
o ETL pipelines implemented in Python</p><p>
o Structured and unstructured data processing</p><p>
o SQL and database technologies</p><ul><li>Exposure to Big Data and distributed processing frameworks is desirable.</li></ul><p>
________________________________________</p><p>
Key Responsibilities</p><p>
Architecture &amp; Solution Design</p><ul><li>Design end-to-end architectures for Python-driven Generative AI and LLM solutions.</li><li>Define reusable Python frameworks for prompt management, RAG pipelines, agent orchestration, and evaluation.</li><li>Ensure architectural alignment with scalability, security, and governance standards.</li></ul><p>
Technical Leadership &amp; Delivery</p><ul><li>Lead solution development using Python-centric AI stacks, from design through production deployment.</li><li>Guide engineering teams on best practices for Python-based GenAI development.</li><li>Ensure delivery of high-quality, production-ready AI solutions.</li></ul><p>
Governance, Quality &amp; Risk Management</p><ul><li>Implement governance, safety controls, and evaluation frameworks using Python-based tooling.</li><li>Monitor performance, quality, and reliability of deployed GenAI systems.</li></ul><p>
Mentoring &amp; Best Practices</p><ul><li>Mentor engineers and data scientists on Python, GenAI architecture, and LLM integration patterns.</li><li>Conduct code and design reviews to ensure maintainability and quality.</li></ul><p>
Innovation &amp; Continuous Learning</p><ul><li>Stay current with advancements in Generative AI and Python-based AI ecosystems.</li><li>Evaluate and adopt new frameworks, tools, and methodologies where relevant.</li></ul><p>
________________________________________</p><p>
Desirable Skills</p><ul><li>Experience with open-source LLMs and SLMs using Python.</li><li>Familiarity with vector databases and embedding stores.</li><li>Exposure to observability and evaluation tooling for GenAI systems.</li><li>Understanding of content structuring or learning-related AI workflows is a plus.</li></ul></div><p></p>
<p>EXPERIENCE</p>
<ul><div>18+ Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: AI/ML Development</div>
<div>Sub Skill(s): AI/ML Development
</div><div>Additional Skill(s): AI/ML Development, TensorFlow, NLP, Pytorch</div></ul></div><p></p>

AI/ML Architect (Principal)

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><div>
Must Have:<br>
<ul><li>7 +years in overall testing with around 5+ years in Hybris testing</li><li>Must have good hands-on knowledge of Hybris Testing which includes storefront testing, Backoffice, HAC, Promotions, Order processes etc.</li><li>Experience with API and integration testing</li><li>Experience in any one headless CMS, preferrable Contentstack.</li><li>Write test plans/cases and lead testing releases through regression testing.</li><li>Experience developing and testing highly distributed systems</li><li>Work closely with the Developers and product support engineers</li><li>Must work side by side with Solution Architects and cross functional team</li><li>Must be able to lead testing releases through regression for e-commerce website</li><li>Must have Experience on different system integrations and testing</li><li>Strong understanding of eCommerce processes and data</li><li>Play a key role in reviewing product requirements to bring the customer perspective through a better understanding of customer data and should be able to triage issues.</li></ul><br>
Good to Have:<br>
<ul><li>Experience with Agile Methodologies preferred</li><li>Good experience in Mobile app testing</li><li>Good to have experience in Order fulfillment</li><li>Good to have experience in SPA</li></ul></div></div><br>
<p>EXPERIENCE</p>
<ul><div>6-8 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Manual Testing</div>
<div>Sub Skill(s): Manual Testing
</div><div>Additional Skill(s): QAComplete, Manual Testing, Web service Testing, SAP Hybris Testing</div></ul></div><p></p>

QA Engineer (Senior)

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p>A role responsible for defining and prioritizing the product backlog, as well as ensuring that the development team delivers a high-quality product that meets the customers needs.</p></div>
<p>EXPERIENCE</p>
<ul><div>14-16 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Business-Analysis</div>
<div>Sub Skill(s): Business-Analysis
</div><div>Additional Skill(s): Product Management (SE), TPM</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

Product Owner

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p>We are looking for a highly skilled <b>Java Backend &amp; Data Engineer</b> who can design, develop, and optimize backend systems while building scalable data pipelines on modern cloud platforms. The role requires strong backend development expertise using Java and hands-on experience in data engineering, ETL/ELT workflows, and big data/cloud technologies.</p><div></div><p><b>
Key Responsibilities</b></p><p><b>
BACKEND ENGINEERING (JAVA)</b></p><ul><li><p>
Design, develop, and maintain <b>RESTful APIs</b> and microservices using Java, Spring Boot, and related frameworks.</p></li><li><p>
Build secure, scalable, high-performance backend systems.</p></li><li><p>
Implement and optimize application logic, data access layers, and integration services.</p></li><li><p>
Work with relational and NoSQL databases such as <b>MySQL, PostgreSQL, MongoDB, DynamoDB</b>, etc.</p></li><li><p>
Ensure code quality through unit testing, integration testing, and code reviews.</p></li><li><p>
Integrate backend services with third-party APIs and internal systems.</p></li></ul><p><b>
DATA ENGINEERING</b></p><ul><li><p>
Design and implement <b>data pipelines</b> for batch and real-time processing.</p></li><li><p>
Build ETL/ELT workflows for ingestion, transformation, and storage of structured and unstructured data.</p></li><li><p>
Work with big data tools such as <b>Spark, Hadoop, Kafka, Hive</b>, or Airflow.</p></li><li><p>
Develop data models, schemas, and optimized storage solutions for analytics and reporting.</p></li><li><p>
Manage data warehousing solutions on cloud platforms (AWS, GCP, Azure).</p></li></ul><p><b>
CLOUD &amp; DEVOPS</b></p><ul><li><p>
Work with cloud services such as <b>AWS (S3, Lambda, Glue, Kinesis, Redshift), Azure Data Factory, or GCP BigQuery</b>.</p></li><li><p>
Deploy applications using CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).</p></li><li><p>
Implement monitoring &amp; logging using CloudWatch, ELK, Grafana, or Prometheus.</p></li><li><p>
Apply security, encryption, IAM, and compliance best practices.</p></li></ul><p><b>
COLLABORATION &amp; DELIVERY</b></p><ul><li><p>
Work closely with Product Owners, Data Scientists, and Business Analysts to understand requirements.</p></li><li><p>
Troubleshoot production issues and ensure service reliability.</p></li><li><p>
Participate in Agile/Scrum ceremonies and deliver features on time</p></li></ul></div>
<p>EXPERIENCE</p>
<ul><div>6-8 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Java Development</div>
<div>Sub Skill(s): Java Development
</div><div>Additional Skill(s): BootStrap, ReactJS, Core Java, JavaScript Development</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

Java Fullstack (React) Developer (Senior)

<p></p><div><h6 class="jobSectionHeader"><b>ROLES &amp; RESPONSIBILITIES</b></h6>
<div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
1. Business Consulting, Problem Formulation &amp; Proposal Development</b></h3><ul><li><p>
Engage with business teams and leadership to <b>clarify, shape, and structure fuzzy business problems</b> into clear analytical frameworks.</p></li><li><p>
Develop <b>compelling proposals, problem statements, and solution blueprints</b>&mdash;highlighting differentiated approaches, methodologies, and business impact.</p></li><li><p>
Quantify expected value, define success metrics, and build MVP roadmaps that demonstrate rapid value realization.</p></li><li><p>
Bring strong <b>pre-sales thinking</b> to help win new internal or external analytical projects.</p></li></ul><h3 class="jobSectionHeader"><b>
2. Solutioning &amp; Technical Delivery</b></h3><ul><li><p>
Lead end-to-end development of analytical solutions using:</p><ul><li><p>
Regression, classification, clustering, segmentation</p></li><li><p>
Forecasting and time-series modeling (ARIMA/SARIMA/ETS/Prophet)</p></li><li><p>
Optimization models &amp; statistical inference</p></li><li><p>
Experimentation, uplift modelling, causal inference (preferred)</p></li></ul></li><li><p>
Own solution architecture: data validation ? feature engineering ? modeling ? evaluation ? deployment-ready output.</p></li><li><p>
Bring <b>technical differentiation</b>&mdash;ability to decide when classical ML, statistical modelling, optimization, heuristics, or applied AI/LLMs are appropriate.</p></li><li><p>
Manage delivery from concept to MVP, ensuring rigor, speed, and business alignment.</p></li></ul><h3 class="jobSectionHeader"><b>
3. Stakeholder Engagement &amp; Business Impact</b></h3><ul><li><p>
Work with cross-functional partners (Product, Engineering, Business, CXOs) and drive <b>trusted advisor-style engagement</b>.</p></li><li><p>
Present insights with a compelling narrative: clear, concise, business-friendly.</p></li><li><p>
Influence business strategy by identifying opportunities, risks, and quantifiable value.</p></li><li><p>
Bridge the gap between technical capability and business outcomes.</p></li><li><p>
Strong communicator and powerpoint writing skills</p></li></ul><h3 class="jobSectionHeader"><b>
4. Leadership &amp; Talent Development</b></h3><ul><li><p>
Lead and mentor a high-performing team of data scientists and analysts.</p></li><li><p>
Enforce standards in methodology, experimentation, code quality, and documentation.</p></li><li><p>
Review work products for statistical rigor and business relevance.</p></li><li><p>
Foster a culture of curiosity, excellence, and clear thinking.</p></li></ul><h3 class="jobSectionHeader"><b>
5. Governance, Standards &amp; Best Practices</b></h3><ul><li><p>
Define and enforce processes for documentation, reproducibility, model governance, and versioning.</p></li><li><p>
Partner with Data Engineering to ensure high-quality data pipelines and scalable architecture.</p></li><li><p>
Drive high standards in modelling practices, experimentation design, and analytical storytelling.</p></li><li><p>
Contribute to innovative methods/approaches</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications</b></h2><h3 class="jobSectionHeader"><b>
Technical Skills</b></h3><ul><li><p>
Deep expertise in classical ML:</p><ul><li><p>
Regression (linear/logistic/regularized)</p></li><li><p>
Decision Trees, Random Forest, Gradient Boosting</p></li><li><p>
Clustering (K-means, hierarchical, density-based)</p></li><li><p>
Forecasting (ARIMA/SARIMA/ETS, Prophet)</p></li><li><p>
Optimization &amp; statistical inference</p></li><li><p>
Hypothesis testing &amp; experimental design</p></li></ul></li><li><p>
Strong proficiency in <b>Python or R</b> (pandas, NumPy, SciPy, scikit-learn, statsmodels, etc.)</p></li><li><p>
Strong SQL skills</p></li><li><p>
Good understanding of data pipelines, ETL concepts, and cloud environments (GCP/AWS/Azure)</p></li><li><p>
Interested in AI/Gen AI based approaches</p></li><li><p>
Experience with Power BI/Tableau for business-focused insight delivery</p></li></ul><h3 class="jobSectionHeader"><b>
Consulting &amp; Analytical Thinking</b></h3><ul><li><p>
Ability to <b>translate abstract business questions into structured analytical frameworks</b>.</p></li><li><p>
Experience crafting <b>value-based proposals</b>, solution architectures, and MVP plans.</p></li><li><p>
Excellent data storytelling and narrative development.</p></li><li><p>
Comfortable with large datasets and deep exploratory analysis.</p></li><li><p>
Curious learner and willing to adapt to new tools/approaches</p></li></ul><h3 class="jobSectionHeader"><b>
Leadership &amp; Project Management</b></h3><ul><li><p>
Team management experience.</p></li><li><p>
Strong project management: scoping, planning, prioritization, and delivery.</p></li><li><p>
Ability to guide solution design, review artifacts, and ensure high-quality outcomes.</p></li><li><p>
Strong stakeholder management and communication skills.</p></li><li><p>
Can manage conflict and solve issues</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li><p>
Master&rsquo;s degree in Statistics, Mathematics, Analytics, Computer Science, Engineering, Economics, or related field. MBA will be a bonus.</p></li><li><p>
Industry experience in Retail, CPG, BFSI, Healthcare, Travel, or Telecom preferred</p></li><li><p>
Exposure to MLOps, data engineering, or productionization concepts.</p></li><li><p>
Experience in business-driven modelling such as:</p><ul><li><p>
Demand forecasting</p></li><li><p>
Churn prediction</p></li><li><p>
Customer segmentation</p></li><li><p>
Pricing analytics</p></li><li><p>
MMM / attribution</p></li><li><p>
Risk scoring</p></li><li><p>
Fraud detection</p></li></ul></li></ul><p></p><h2 class="jobSectionHeader"><b>
Why Join Us? (Unique Value Proposition to Candidate)</b></h2><ul><li><p><b>
Direct mentorship</b> from a senior analytics leader with deep experience across global CPG and retail analytics, advanced modelling, enterprise AI, and data strategy.</p></li><li><p>
Opportunity to learn <b>consulting-grade problem formulation</b>, proposal writing, and stakeholder influencing&mdash;capabilities rarely offered in technical roles.</p></li><li><p>
High ownership: architect solutions, shape the roadmap, and build MVPs that reach leadership.</p></li><li><p>
Be part of a fast-growing team where your work directly impacts business decisions.</p></li><li><p>
Work on innovative client problems</p></li></ul></div>
<h6 class="jobSectionHeader"><b>EXPERIENCE</b></h6>
<ul><li>12-14 Years</li>
</ul><h6 class="jobSectionHeader"><b>SKILLS</b></h6>
<ul><li>Primary Skill: Data Science</li>
<li>Sub Skill(s): Data Science
</li><li>Additional Skill(s): Python, Power BI, ETL, Data Science, AWS-Apps, Azure-Apps, SQL, Analytics Development</li>
</ul><h6 class="jobSectionHeader"><b>ABOUT THE COMPANY</b></h6>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

Data Science Architect (Standard)

Join Infogain and explore 11   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.