data engineer-data engineer-engineering Jobs in Noida

data engineer-data engineer-engineering

domain architect - data science Jobs in Noida

domain architect - data science

domain architect data science

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
 </li>
 <li>
 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
 </li>
 <li>
 Research and implement advanced ML techniques to enhance existing systems.
 </li>
 <li>
 Collaborate with CSP customers to create scalable, data-driven solutions.
 </li>
 <li>
 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
 </li>
 <li>
 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
 </li>
 <li>
 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
 </li>
 <li>
 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
 </li>
 <li>
 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
 </li>
 <li>
 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
 </li>
 </ul>
 It would be nice if you also had:
 
 
 <ul>
 <li>
 Familiarity with network automation, service assurance, and intent-based networking.
 </li>
 <li>
 Pre-sales experience like RFPs, solution demos, customer workshops.
 </li>
 <li>
 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
 </li>
 <li>
 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

<div>
 Role Overview: We are seeking a highly skilled and forward-thinking Manager &ndash; Data Science &amp; Generative AI to lead data-driven innovation within our organization. This role requires a blend of technical expertise in machine learning and GenAI, team leadership, and strategic thinking to build scalable solutions and drive business transformation through intelligent systems. As a Manager, you will lead cross-functional teams, guide AI/ML project lifecycles, and help deploy Generative AI models into real-world applications, ranging from content generation to intelligent automation. Key Responsibilities: Lead the end-to-end lifecycle of data science and Generative AI projects&mdash;from problem scoping and data exploration to model deployment and performance monitoring. Manage a team of data scientists and ML engineers, providing technical guidance and mentorship. Develop and implement advanced machine learning models including deep learning, NLP, and GenAI architectures (e.g., transformers, LLMs). Collaborate with product, engineering, and business teams to identify AI opportunities, define use cases, and deploy innovative solutions. Evaluate and fine-tune pre-trained foundation models (e.g., GPT, Claude, LLaMA, Gemini) for domain-specific applications using prompt engineering, fine-tuning, or retrieval-augmented generation (RAG). Lead the creation of synthetic data, content generation, and intelligent assistants using GenAI capabilities. Drive responsible AI practices and ensure model transparency, fairness, and compliance with ethical and regulatory guidelines. Contribute to strategic roadmaps for AI adoption across the enterprise. Present findings, models, and strategies to stakeholders and senior leadership. Required Skills &amp; Experience: 6&ndash;10 years of experience in Data Science or AI/ML, including at least 2&ndash;3 years in a managerial or lead role. Strong proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch). Proven experience in building and deploying ML models in production environments. Solid experience working with Generative AI tools and platforms (e.g., OpenAI APIs, Hugging Face, LangChain, Vertex AI, Azure OpenAI). Expertise in NLP, LLMs, prompt engineering, fine-tuning, and text generation. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. Strong understanding of data engineering concepts, APIs, and scalable architectures. Excellent problem-solving, project management, and communication skills. Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or related field (PhD is a plus). Nice to Have: Experience with Retrieval-Augmented Generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate). Familiarity with model safety, explainability (XAI), and ethical AI frameworks. Publications or contributions in AI/ML conferences or open-source projects. Hands-on experience in GenAI use cases like document summarization, chatbots, code generation, or marketing automation.
</div>

Senior Manager

Capgemini

<div>
 
 Job Description
 
 
 
 Business Advisors shape the vision with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution.
 
 
 
 Job Description - Grade Specific
 
 
 
 Conducts appropriate meetings/workshops to elicit/understand and document the business requirements using their domain expertise. In addition, may also produce process and data models of the current and/or future state.
</div>

Business Advisor

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 Firefly Enterprise group is building highly scalable and available APIs and worflow offerings for Adobe&rsquo;s Enterprise Customers. This includes Firefly services and services built on our flagship products like Photoshop, Lightroom and InDesign. The Solution will have a frontend for Enterprise users and a backend that will creative a cohesive layer that will orchestrate the various services provided by Creative Cloud products.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design and development of on one or more services/components.
 </li>
 <li>
 Responsible for full lifecycle of the project from user story to design, development, testing, documentation and maintenance
 </li>
 <li>
 As a team member you will be expected to architect, design, implement, review, document and deploy application with high quality
 </li>
 <li>
 Collaborate with ML engineers to design and integrate AI/ML model orchestration and inference workflows.
 </li>
 <li>
 As a senior member in the team, you would be responsible for architecture, design, quality, coding standard, reviews etc.
 </li>
 <li>
 Adhering to standard software engineering practices
 </li>
 <li>
 Work in highly collaborative and ever evolving environment across geo
 </li>
 <li>
 Work with highly flexible and geographically distributed teams
 </li>
 <li>
 Mentor junior team members
 
 
 </li>
 </ul>
 
 What You Need To Succeed
 
 
 
 <ul>
 <li>
 B. Tech and/or M. Tech in Computer Science with excellent academic record, or equivalent experience
 </li>
 <li>
 12+ years of software development experience primarily in back-end systems
 </li>
 <li>
 Proficient in data structures and algorithms
 </li>
 <li>
 Expertise in Java / NodeJS and related frameworks
 </li>
 <li>
 Experience on MySQL, Redis, Cassandra, DynamoDB, MongoDB, Kafka etc
 </li>
 <li>
 Exposure to AI/ML systems integration, model serving, or workflow orchestration.
 </li>
 <li>
 Proven experience in designing, building, evolving and working with large scale, complex software projects
 </li>
 <li>
 Self-starter, with ability and interest in learning new technologies and adapting quickly to new requirements and environments
 </li>
 <li>
 Proven experience in developing scalable Cloud-based services on AWS/Azure
 </li>
 <li>
 Strong programming and problem-solving skills, a self-starter
 </li>
 <li>
 Good written and verbal communication skills
 </li>
 <li>
 Good team player
 </li>
 <li>
 Experience with Agile development practices
 
 
 </li>
 </ul>
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Sr. Computer Scientist - II

<div>
 Shift: Starts from 2 PM
 
 
 Work Type: Hybrid
 
 
 Minimum Qualification: Bachelor&rsquo;s degree or equivalent required.
 
 
 
 Experience Required
 
 
 
 <ul>
 <li>
 Experience in UK &amp; EU markets
 </li>
 <li>
 Industries: Retail, CPG, Manufacturing, Energy &amp; Utilities, Hi- Tech, CME, Travel and Logistics
 </li>
 <li>
 Domain Experience: Analytics, Digital Operations, Digital Transformation, F&amp;A
 </li>
 <li>
 Experience in Inside Sales &amp; Lead Generation
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 <ul>
 <li>
 Comfortable with a 2 PM start time
 </li>
 <li>
 Comfortable with cold calling
 
 
 </li>
 </ul>
 
 Job Summary
 
 
 
 The Sales Development Representative (SDR) will play a pivotal role in both outbound and inbound prospecting efforts within the EXL Growth Office. The SDR will work closely with the sales team to identify new business opportunities and contribute to the company&rsquo;s growth strategy. This role involves account and contact research, sales outreach, collaboration with sales leadership and representatives, and coordination with marketing.
 
 
 Key Responsibilities
 
 
 
 Outbound Prospecting
 
 
 
 <ul>
 <li>
 Collaborate with the sales team to identify target accounts and contacts
 </li>
 <li>
 Execute, monitor, and track outbound sales campaigns by line of business and market
 </li>
 <li>
 Use a consultative approach to understand prospect needs and communicate the unique value of EXL&rsquo;s offerings
 
 
 </li>
 </ul>
 
 Inbound Prospecting
 
 
 
 <ul>
 <li>
 Qualify inbound leads generated through marketing efforts
 </li>
 <li>
 Respond to inbound emails promptly and transition qualified leads to the sales team
 
 
 </li>
 </ul>
 
 Market Research
 
 
 
 <ul>
 <li>
 Conduct periodic research to understand prospect priorities
 </li>
 <li>
 Utilize tools such as ZoomInfo, XIQ Insights, and other Salesforce-integrated platforms
 
 
 </li>
 </ul>
 
 Messaging Development
 
 
 
 <ul>
 <li>
 Create and refine call scripts tailored to specific industries and value propositions
 </li>
 <li>
 Develop targeted messaging by line of business and persona to align with brand positioning
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Foster collaboration across sales, marketing, and other cross-functional teams
 </li>
 <li>
 Share insights and feedback to improve messaging and outreach strategies
 
 
 </li>
 </ul>
 
 Reporting &amp; Analysis
 
 
 
 <ul>
 <li>
 Use CRM tools to plan and track activities, update prospect data, and generate performance reports
 </li>
 <li>
 Analyze call data to identify trends and areas for improvement
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelors Degree or equivalent required.
 </li>
 <li>
 5 years of experience in Inside sales, Business Development or similar role, preferably in analytics, digital operations and digital transformation domain.
 
 
 </li>
 </ul>
 Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Specialized knowledge and skill requirements to perform this job including certifications, licenses, etc.
 </li>
 <li>
 Prior experience in any of Retail, CPG, Manufacturing, Energy &amp; Utilities, Hi- Tech, CME, Travel and Logistics industry is advantageous.
 </li>
 <li>
 Strong relationship building skills and effective communication and presentation abilities.
 </li>
 <li>
 Ability to collaborate effectively with cross-functional teams, especially with Sales.
 </li>
 <li>
 Familiarity with CRM software (e.g., Salesforce), sales engagement tool (e.g. (SalesLoft, Outreach, Groove, etc), research tools, and proficiency in Microsoft Office.
 </li>
 </ul>
</div>

Manager - Sales Operations (Lead Generation - UK/EU)

ClinicMind

<div>
 ClinicMind is a leading healthcare SaaS platform that helps providers improve their practice financial performance, drive sustainable growth, and enhance patient care with integrated EHR, RCM, and Patient Engagement automation and excellent service solutions. outcomes, and maximizes revenue cycle efficiency.
 
 
 
 Position Summary
 
 
 
 The Junior Data Scientist will support the Data Science team in analyzing data, creating visual insights, and maintaining scalable data workflows using Amazon QuickSight and Amazon Redshift. This role is ideal for an entry-level candidate passionate about analytics, cloud data tools, and supporting data-driven business decisions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Data Management &amp; Preparation
 </li>
 <li>
 Extract, clean, and manage datasets within Amazon Redshift and related AWS data sources.
 </li>
 <li>
 Ensure data quality, consistency, and completeness for downstream analytics.
 </li>
 <li>
 Visualization &amp; Reporting
 </li>
 <li>
 Build and maintain Amazon QuickSight dashboards to communicate trends, KPIs, and actionable insights.
 </li>
 <li>
 Automate recurring reporting workflows and enhance dashboard interactivity.
 </li>
 <li>
 Data Analysis &amp; Insights
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to uncover trends and patterns.
 </li>
 <li>
 Support business teams by generating ad-hoc analyses and presenting insights clearly.
 </li>
 <li>
 Collaboration &amp; Support
 </li>
 <li>
 Work closely with the Data Science Team Lead and cross-functional teams (Operations, Product, and Engineering).
 </li>
 <li>
 Participate in sprint reviews, data validation, and stakeholder discussions.
 </li>
 <li>
 Continuous Learning &amp; Innovation
 </li>
 <li>
 Stay up to date on AWS analytics services, BI tools, and data visualization best practices.
 </li>
 <li>
 Contribute new ideas for improving efficiency, visualization design, and automation.
 
 
 </li>
 </ul>
 
 Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Analytics, or related field.
 </li>
 <li>
 Hands-on experience with Amazon QuickSight for dashboarding and reporting.
 </li>
 <li>
 Understanding of Amazon Redshift (queries, schemas, joins, and data pipelines).
 </li>
 <li>
 Knowledge of SQL for data extraction and transformation.
 </li>
 <li>
 Basic exposure to Python or R (optional but desirable).
 </li>
 <li>
 Strong analytical mindset and attention to detail.
 </li>
 <li>
 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Certifications
 
 
 
 <ul>
 <li>
 AWS Certified Data Analytics
 </li>
 <li>
 Amazon QuickSight Author Certification
 </li>
 <li>
 AWS Cloud Practitioner or Practitioner Essentials
 
 
 </li>
 </ul>
 Must Have
 
 
 <ul>
 <li>
 Must have a stable internet connection minimum of 25 MBPS
 </li>
 <li>
 Must have a mobile data plan as a backup
 </li>
 <li>
 Must be in a quiet environment / work from home set-up
 </li>
 <li>
 Must be comfortable working the US Eastern Time business hours
 </li>
 <li>
 Minimum system requirement: Latest i5 with SSD hard disk (i7 preferred), 16 GB RAM (32 GB preferred)
 </li>
 </ul>
</div>

Junior Data Scientist - Work From Home

ITS Engineering College

Job description &ndash; Assistant ProfessorRole: Assistant ProfessorIndustry Type: Education / TrainingDepartment: Teaching &amp; TrainingEmployment Type: Full Time/PermanentEducation: BCA, MCA, (Net Qualified) Location: Knowledge Park-III, Greater Noida(U.P.)Experience: 3yr to 6yr Salary: 25,000 - 35,000/- (Negotiable) Key Skills:1. Programming Languages (C, C++,JAVA, Python)2. Data Structures and Algorithms3. Computer Architecture and Operating Systems4. Cyber Security5. Cloud Computing6. Artificial intelligence7. Data Analytics8. Software DevelopmentRoles &amp; Responsibilities:&middot; As an Assistant Professor of Computer Science, you will play a pivotal role in shaping the future of technology by educating and inspiring the next generation of computer scientists&middot; Your expertise in computer science, passion for teaching, and commitment to research will contribute to the academic and intellectual growth of our students&middot; You will engage in designing and delivering courses, conducting research projects, and providing mentorship to students pursuing careers in technology&middot; Responsibilities: Teaching Excellence: Design and deliver undergraduate and/or graduate-level computer science courses that promote critical thinking, problem-solving, and innovation&middot; Course Development: Develop course syllabi, assignments, projects, and assessments that align with academic standards and industry trends&middot; Student Mentorship: Provide academic guidance and mentorship to students, fostering their technical and professional growth in the field of computer science&middot; Research Contributions: Engage in cutting-edge research in computer science, contributing to scholarly publications, conferences, and collaborative projects&middot; Curriculum Enhancement: Contribute to the development and evolution of computer science curricula, incorporating emerging technologies and methodologies&middot; Innovative Instruction: Utilize modern teaching methods, tools, and technologies to create engaging and interactive learning experiences&middot; Scholarly Engagement: Participate in academic conferences, workshops, and seminars to stay updated on developments in computer science&middot; Service and Committees: Participate in departmental and university committees, contributing to academic planning and institutional initiatives&middot; Student Projects: Oversee student research projects, capstone projects, and collaborative initiatives that bridge academia and industry&middot; Collaboration: Collaborate with fellow faculty members on interdisciplinary projects and industry partnershipsPlease share your updated CV at hr.cps@its.edu.in or can call at 9258199522Job Type: Full-timePay: &#8377;25,000.00 - &#8377;35,000.00 per monthBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

Assistant Professor BCA

Explore 108+ Domain architect data science in Noida this December. Find roles across top companies and apply now to boost your career.