363 Feature Engineering jobs in Noida
Financial Data Analysis
Posted today
Job Viewed
Job Description
**Qualifications**:
Data Analytics, Data Analysis, and Financial Analysis skills
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Experience in financial analysis and modeling
Knowledge of finance and accounting principles
Proficiency in financial software and tools
Bachelor's degree in Finance, Accounting, Economics, or related field
Excellent problem-solving and critical-thinking abilities
Strong written and verbal communication skills
Ability to work in a team and collaborate effectively
Experience with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus
**Salary**: ₹30,000.00 - ₹35,000.00 per month
Schedule:
- Day shift
Work Location: In person
Senior Consultant Data Analysis
Posted today
Job Viewed
Job Description
Key Duties & Responsibilities
- This role will require to work independently or in team to solve data problems with unstructured data
- Collaborate with other team members and other disciplines to deliver project requirements
- Work independently to complete allocated activities to meet timeframe and quality objectives and meeting or exceeding client expectations
- Develop effective materials for clients, making sure that their messages are clearly conveyed through the appropriate channel, using the language that is suitable for the intended audience and readers, and would induce the desired response
- Actively contribute to ArcadisGlobal Communities of Practice relevant to Project Management, Data Visualization, and Power Platform, through knowledge shares and case study presentations
- Actively contribute to the Digital Advisory community of practice, through development of integrated solutions that embed GEC capabilities into core advisory business
- Data Engineering, Management, and Visualization
- Experience in manipulating, transforming, and analyzing data sets that are raw, large, and complex
- Demonstrates ability to plan, gather, analyze, and document user and business information
- Incorporates, integrates, and interfaces technical knowledge with business / systems requirements
- Understanding of all aspects of an implementation project including, but not limited to planning, analysis and design, configuration, development, conversions, system testing, cutover and production support
- Produce written deliverables for requirement specifications and support documentation: process mapping, meeting minutes, glossaries, data dictionary, technical design, system testing and implementation activities
- Collect and organize data, data warehouse reports, spreadsheets, and databases for analytical reporting
- Strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries
- Experience in creating automated data extraction pipeline from various sources like API, Databases in various formats
- A problem solving, solution driven mindset with the ability to innovate within the constraints of a project time/cost/quality
Qualifications and Experience:
- BS/MS or BCA/MCA or bachelors/masters degree in Math, Statistics, Computer Science, Engineering, or another technical field
- Experience required: 5+ years
- Experience in Data engineering with PythonR
- Experience in SQL, MS-SQL Server, or other relational databases
- Azure Cloud Service experienceAWSGoogle Could Service (Optional)
- API automated Data extraction pipeline
- Experience in developing and maintaining integrated visualization reports in PowerBI (Optional)
- Experience with software deployment project lifecycle phases requirements gathering, planning, testing, delivery, enhancements, support
- Experience in Project Management (Preferred)
- Exceptional communication skills and fluency in English (professional level)
Skills Required
Project Management, Sql, Python
Business Intelligence (Bi) Data Analysis
Posted today
Job Viewed
Job Description
- Employment Type:
- Office Location: Noida, UP, IN, 201305
- Work Location: On Site
- Req ID: 4173
- Description:
- **Job Title**: Software Engineer
**Organization Name**:NEC Corporation**of India Ltd.
**Reporting Relationship**: AGM
**Required Skills**:
- Hands on experience in Qlik Sense development, dashboarding and data modelling and reporting (ad hoc report generation) techniques.
- Experience with creating Nprinting reports.
- Must be good at Data transformation, the creation of QVD files and set analysis.
- Strong SQL skills. Experienced in RDMS such as MS SQL, PostGreSQL Server, Oracle etc.
- Hands on experience in deploying single and multi-node configurations, using the QMC, working on Qlik Sense enterprise, adding and managing users, understanding Qlik Sense licensing and token configuration, data and system security, adding and managing data connections, monitoring and troubleshooting system errors.
KEY RESPONSIBILITIES:
- Responsible to deliver the technical insights and interpret the data reports to the clients. Also helps in understanding and serving to the client’s requirements.
- Able to comprehend and translate complex and advanced functional, technical, and business requirements into executable architectural designs.
- Creating and maintaining technical documentation.
- Demonstrated experience in end-to-end project involvement, from requirement gathering to development, implementation, and maintenance.
- Experience in quality assurance and testing of reports and dashboards.
- Experience with Mashups is a plus.
**Prerequisites**
Bachelor’s degree in computer science or a related field with over minimum 5 years of relevant experience.
**Base Location**: Noida
**Specialization Description**:
Business Intelligence (BI) Data Analysis work includes:
- Analyzing business intelligence data to inform business and product decisions
- Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses
- Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends
- Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies
**Level Description**:
Entry to developing level professional with little or no prior experience required. Applies a broad theoretical job knowledge typically obtained through advanced education. Work is closely supervised. Works to deliver day-to-day objectives with limited impact on achievement of results for the job area. Explains facts, policies and practices related to job area. Problems faced are not typically difficult or complex.
Headquartered in Japan, NEC is a leader in the integration of IT and network technologies. With over 123 years of expertise in providing solutions for empowering people, businesses, and society, NEC stands tall as a champion in enabling change and transformation across the globe. Present in India since 1950, NEC has been instrumental in burgeoning India’s digitization journey continually for the past 70 years.
NEC India has proved its commitment to orchestrating a bright future through its diverse businesses from **Telecommunications to Public Safety, Logistics, Transportation, Retail, Finance, Unified Communication and IT platforms**, serving across the public and private sectors. NEC India, through the deployment of cutting-edge technology, has been powering India in seminal ways, making lives easier, safer, and more productive for all.
With its Centre of Excellence for verticals like **Analytics platform solutions, Big Data, Biometrics, Mobile and Retail**, NEC India brings to the table, innovative, seamless solutions for India and across the world.
NEC India is headquartered in New Delhi and has its offices panned across the country. It has branches in **Ahmedabad, Bengaluru, Chennai, Mumbai, Noida and Surat.**
**Specialties**:
IT & Networking Solutions, Unified Communication Solutions, Safety and Security Solutions, Integrated Retail Solutions, Data Centre Solutions, Safe and Smart City Solutions, Transportation Solutions, SDN Solutions, Carrier Telecom Solutions, and Solutions for Society.
**NEC Career Site** -**LinkedIn
Market Risk Average Daily Traded Volume Data Analysis - Associate
Posted today
Job Viewed
Job Description
We are looking for an experienced candidate to join our team in Mumbai. Market Risk ADTV Data teams mission is to help ensure valid Average Daily Traded Volume (ADTV) data is fed into our in-house Gross Market Concentration (GMC) risk and Strategic Stress liquidity add-on calculations. GMC is a limit framework used by the firm s Credit Officers to approve trades and manage concentrated positions at the counterparty level versus the size of the traded market measured by ADTV. The team works closely with internal stakeholders to ensure any data quality issue is remediated in a timely manner for accurate risk computation. We are also responsible for onboarding new ADTV sources which would enhance accuracy in concentration risk calculation and reporting.
Job Responsibility
- Analyze and verify ADTV time series data used for concentration risk and liquidity add-on calculations across several asset classes;
- Identify spurious data like spikes and gaps, and liaise with stakeholders for remedial action;
- Interpret data, analyze results, and summarize complex data into understandable and actionable insights for decision-makers;
- Define data quality metrics and produce periodic KPI reports distributed to stakeholders, control functions and senior management;
- Onboard new ADTV sources to ensure accurate risk measurement;
- Participate in projects relating to control issues/enhancements for ADTV data quality, accuracy and completeness;
- Partner with Technology teams to provide requirements for various data sourcing and remediation projects, ensuring execution aligns with expectations; and Oversee periodic audit processes to ensure adherence to internal controls and compliance with regulatory bodies.
Overall, the candidate will need to work closely with teams in New York, London, and India, and will need to be proactive in improving the overall quality of market data time series and developing business solutions to provide insights for the firm s risk management in Market Risk and Counterparty Credit Risk.
Required qualifications, capabilities, and skills
- Bachelor s or master s degree in STEM, Finance or relevant fields; and Knowledge of market risk concepts and various financial products across asset classes;
- Experience with performing statistical analysis on large and unstructured datasets;
- Proficiency in Microsoft Excel, using advanced formulas, pivot tables, etc. and robust control mindset to identify gaps in data production and data control processes;
- Ability to think critically and solve problem independently in a deadline oriented environment; and Ability to multitask and work under pressure with keen attention to detail;
- Excellent verbal/written communication and presentation skills; and Proficiency in both technical and procedural documentation;
- Enthusiasm for knowledge sharing and ability to collaborate effectively
Preferred qualifications, capabilities, and skills
- Excellent interpersonal skills with an ability to develop effective and credible relationships;
- Ability to understand business processes and their risk implications, analyze complex situations, reach appropriate conclusions, and make feasible recommendations;
- Experience with Python, in particular Pandas and Numpy, for data analysis;
- Qualifications like CFA/FRM are an added advantage.
Role: Data Analyst
Industry Type: Financial Services
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Business Intelligence & Analytics
Education
UG: Any Graduate
PG: Any Postgraduate
Skills Required
Risk Management, Data Analysis, Data Quality, Auditing, remediation , Business Solutions, Market Data, Excel, Python, Market Risk
Machine Learning Engineer
Posted 3 days ago
Job Viewed
Job Description
Machine Learning Specialist
Posted 4 days ago
Job Viewed
Job Description
Machine Learning Engineer
Posted 4 days ago
Job Viewed
Job Description
About Hero Vired:
Would you like to be part of an exciting, innovative, and high-growth startup from one of the largest and most well-respected business houses in the country - the Hero Group?
Hero Vired is a premium learning experience offering industry-relevant programs and world-class partnerships, to create the change-makers of tomorrow.
At Hero Vired, we believe everyone is made of big things. With the experience, knowledge, and expertise of the Hero Group, Hero Vired is on a mission to change the way we learn. Hero Vired aims to give learners the knowledge, skills, and expertise through deeply engaged and holistic experiences, closely mapped with industry to empower them to transform their aspirations into reality. The focus will be on disrupting and reimagining university education & skilling for working professionals by offering high-impact online certification and degree programs.
The illustrious and renowned US$5 billion diversified Hero Group is a conglomerate of Indian companies with primary interests and operations in automotive manufacturing, financing, renewable energy, electronics manufacturing, and education. The Hero Group (BML Munjal family) companies include Hero MotoCorp, Hero FinCorp, Hero Future Energies, Rockman Industries, Hero Electronix, Hero Mindmine, and the BML Munjal University.
For detailed information, visit Hero Vired
Role : Machine Learning Engineer(LLM & NLP)
Location: Delhi (Sultanpur)
Job Type: Full Time (Work from Office)
Experience: 3+ years
Function: Technology
About the Role
We are looking for an experienced Machine Learning Engineer with deep expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to design, build, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience in fine-tuning, optimizing, and productionizing LLMs for various education and learning use cases, along with a solid foundation in core NLP concepts and ML engineering practices.
The ideal candidate should be passionate about building and deploying robust ML models, have strong software engineering principles, and work closely with cross-functional teams to integrate AI-powered features into our digital learning products.
Key Responsibilities:
- Build AI-powered agents using LangChain/OpenAI APIs to simulate human-like search, click, scrape, and store behavior
- Use Python scraping frameworks (Scrapy , Playwright , BeautifulSoup ) to extract dynamic web data
- Apply NLP techniques to extract structured fields from unstructured content (e.g., reviews, placement data)
- Design ETL pipelines using Airflow or Prefect to ingest, clean, enrich, and store data
- Store the output in normalized formats in PostgreSQL , Neo4j , or ElasticSearch
- Machine Learning -> Train/update models that improve classification, ranking, or deduplication
- Design a GPT-powered web crawler that uses Google/Bing APIs to simulate top human clicks → summarize pages → extract structured info
- Build a semantic search pipeline using ElasticSearch + OpenAI embeddings
- Architect a Knowledge Graph in Neo4j or TigerGraph for relationship-heavy queries
- Implement LLM feedback loops for content validation, confidence scoring, and hallucination detection
- Build a monitoring dashboard to track data freshness, accuracy, and update intervals
- Familiarity with Reinforcement Learning with Human Feedback (RLHF) or Retrieval-Augmented Generation (RAG)
Be The First To Know
About the latest Feature engineering Jobs in Noida !
Machine Learning Engineer
Posted 4 days ago
Job Viewed
Job Description
- Have hands on experience on real time ML Models / Projects
- Coding in Python Language, Machine Learning, Basic SQL, Git, MS Excel
- Experience in using IDE like Jupyter Notebook, Spyder, PyCharm
- Hands on with AWS Services like S3 bucket, EC2, Sagemaker, Step Functions.
- Engage with clients/consultants to understand requirements
- Taking ownership of delivering ML models with high precision outcomes.
- Accountable for high quality and timely completion of specified work deliverables
- Write codes that are well detailed structured and compute efficient
Machine Learning Engineer
Posted 4 days ago
Job Viewed
Job Description
Machine Learning Specialist
Posted today
Job Viewed
Job Description
NLP Expert – Researcher/Engineer
Experience: 3–4 years
Salary Range: ₹15 – ₹30 LPA
About the Role
We are seeking an experienced NLP Expert – Researcher/Engineer to lead the design and pretraining of advanced transformer-based language models from scratch using sequential, structured data. This role demands a deep understanding of transformer architectures, strong command over the Hugging Face ecosystem, and the ability to convert complex, real-world time-series or geospatial data into meaningful natural language outputs.
You'll be working on cutting-edge applications that require bridging non-traditional inputs with natural language generation in a production-ready environment.
Responsibilities
- Architect and pretrain encoder-decoder transformer models (e.g., BERT, GPT, T5) from scratch using structured, sequential datasets.
- Design pipelines that convert non-textual data—such as spatial, temporal, or sensor-based signals—into NLP-compatible formats.
- Build end-to-end systems that generate natural language descriptions, summaries, or narratives from raw structured inputs.
- Apply rigorous model evaluation strategies and optimize for downstream language generation tasks.
- Collaborate across functions with data engineers, domain specialists, and product teams to deliver production-ready solutions.
- Stay abreast of and incorporate the latest research in NLP, pretraining strategies, and model efficiency.
Required Skills & Experience
- 3–4 years of hands-on experience in Natural Language Processing and deep learning.
- Strong expertise in Transformer-based architectures and foundational NLP theory.
- Proven experience in pretraining language models from scratch, not just fine-tuning existing ones.
- Advanced proficiency in Python, with experience in PyTorch, TensorFlow, and the Hugging Face Transformers & Datasets libraries.
- Familiarity with sequential, time-series, or geospatial data, and how to integrate such data into NLP pipelines.
- Experience with data preprocessing, including transforming unconventional inputs into model-compatible formats.
- Strong problem-solving, communication, and cross-functional collaboration skills.
Bonus Points For
- Experience in multimodal modeling (e.g., combining text, time, and spatial inputs).
- Knowledge of MLOps, model optimization, and deployment workflows.
- Contributions to open-source NLP projects or publications in peer-reviewed ML/NLP conferences.
Why Join Us?
This is your opportunity to shape how machines interpret and articulate real-world, structured data through language. If you’re passionate about building from the ground up and redefining what’s possible with NLP, we want to hear from you.