"SAP Hybris"

Job Description-

Wissen Technology is seeking a detail-oriented and curious Data Analyst to support our global data initiatives. This role is ideal for someone who is passionate about turning data into insights and eager to grow in a fast-paced, security-focused environment. You will work closely with senior analysts and stakeholders to support reporting, dashboarding, and data quality efforts that enable operational excellence and informed decision-making.

Key Responsibilities:

· Assist in collecting, cleaning, and organizing data from various sources to support security operations and reporting.

· Build and maintain basic dashboards and reports using tools like Power BI or Tableau.

· Support data validation and quality checks to ensure accuracy and consistency.

· Collaborate with team members to understand data requirements and deliver actionable insights.

· Document data sources, definitions, and reporting processes.

· Help automate recurring reports and streamline manual data tasks.

· Participate in team meetings and contribute to discussions around data-driven improvements.

Qualifications:

· Bachelor’s degree in data science, Business Analytics, Computer Science, or a related field.

· 2–4 years of experience in data analysis, reporting, or business intelligence.

· Basic proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).

· Strong attention to detail and a willingness to learn new tools and techniques.

· Good communication skills and ability to work in a collaborative team environment.

· Comfortable working with spreadsheets and structured data.

Preferred Skills & Tools:

· Experience with Excel, Google Sheets, and basic data manipulation.

· Exposure to Python or R for data analysis.

· Familiarity with cloud platforms (AWS, GCP, or Azure).

· Interest in security operations or risk-related data is a plus.

Key Competencies:

· Data Accuracy & Attention to Detail: Ensures high-quality outputs and reliable reporting.

· Curiosity & Learning Agility: Eager to explore data and learn new tools and methods.

· Communication: Able to explain findings clearly to non-technical stakeholders.

· Collaboration: Works well with cross-functional teams and takes feedback constructively.

· Ownership: Takes initiative on assigned tasks and follows through to completion.

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Job Title : Talent Acquisition Sourcers

Roles and responsibilities:

• Sourcing candidates from various job portals.
• Conducting the initial screening rounds.
• Scheduling interviews with candidates and panel members.
• Job Posting for Portals, Social Media and External Sources.
• Preparing the Resource tracker Weekly, Monthly, Quarterly MIS.
• Conducting the Weekend Recruitment Drives.
• Worked on PPT and various ways of presenting data as a story/theme.
• Have managed high volume of data and MIS in past.
• Should have worked with corporates earlier.

Requirement:

• MBA (HR) / Graduate
•  have spent 70% doing IT recruitment & 30% non-it
• Ability to articulate confidently
• Excellent communication skills (written & verbal)
• Strong analytical skills
• Contract period : 1year

Experience: 2-5 Years

Location: Sector 62, Noida

Job Description

• Research, design, develop, and test blockchain technologies
• Brainstorm and help evaluate applications for new tools and technologies as they continually evolve
• Maintain and extend current client- and server-side applications responsible for integration and business logic
• Be involved in the global blockchain community—work on implementing and integrating the latest improvement proposals
• Document new solutions as well as maintaining that of existing ones

Required Skills

• Strong software development background
• Experience working with large codebases
• Experience working with open-source projects
• Proficiency in one of the following languages: C++, Java, JavaScript
• Strong knowledge of common algorithms and data structures
• Familiarity with basic cryptography
• Familiarity with P2P networks
• Strong knowledge of bitcoin-like blockchains
• Strong knowledge of concurrency and writing efficient and safe multithreaded code
• Strong knowledge of STL, C++11
• Proficiency in the Qt Widgets module

Perks & Benefits:

• Flexibility
• Saturdays off
• Attractive Incentives & Compensation

When you join us, you’ll lead the full-cycle development of the hardware focusing on robust and cost-effective solutions for hardware design, layout design and the fabrication of PCBs. You’ll be responsible for the successful production of the hardware coordinating directly with the production team. Your role will be crucial to Quixote’s success.

DUTIES & RESPONSIBILITIES 

• Design multi-layer printed circuit board layouts incorporating the latest fabrication and assembly standards. 
• Design the schematics for the PCB and gather their inputs to ensure the electrical characteristics of the PCB are within specification.
• Collaborate with mechanical, fabrication, manufacturing and test engineers for a functional, cost-effective layout.
• Develop, check and release full documentation packages as required per work instructions and project requirements.
• Analysis and evaluation of company requirements, initial BoM creation and component selection accordingly with consideration of costs, schedule, platform, quality etc. 
• Development of complex modules & components of the latest technology to implement them into other projects and future automotive systems 
• Develop modules & components’ system design, schematic design/integration, layout design following design rules, design verification 
• Evaluation of relevant technology, functions regarding requirements, market trends and feasibility together with other engineering core teams & procurement to ensure the best design & best cost 
• Observation and analysis of latest technology trends, the definition of next-generation key components together with other technical division and key component suppliers 
• Preparation of technical supplier decisions for the business units and automotive executive management according to the development process, evaluate risks and opportunities 
• Close cooperation with different functional teams such as Controlling, Legal, Purchasing, Manufacturing Engineering, Quality, Customer Business Units

REQUIRED SKILLS & EXPERIENCE 

• Understand how to develop PCB layouts for digital, analog, and power supply circuits on multilayer PCBs.
• Excellent knowledge of fine-pitch designs with multiple BGAs, blind and buried VIAs, and high part densities.
• Expert with industry standard commercial PCB layout CAD software, such as Mentor Graphics, OrCAD, Cadence, Zuken, or similar but should be flexible to switch to any of them.
• Knowledge of PCB manufacturing tools such as Valor, SAP, and GerbTool software
• Good knowledge of hardware function blocks, memory designs & high speed interfaces
• Basic understanding of electrical schematic symbols and functions.
• Ability to create dimensioned drawings for release.
• Possess functional knowledge of IPC guidelines.
• Excellent technical understanding of electrical designs inside automotive field is a plus
• Should be passionate, diligent, thorough, and detail oriented

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

Basic Qualifications:

• Five+ years experience working in a Data Science role
• Extensive experience developing and deploying ML models in real world environments
• Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
• Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
• Experience in advanced math and statistics
• Excellent familiarity with command line linux environment
• Able to understand various data structures and common methods in data transformation
• Experience deploying machine learning models and measuring their impact
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred Qualifications

• Experience developing recommendation systems
• Experience developing and deploying deep learning models
• Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
• Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
• Experience with being actively engaged in data science or other research-oriented position
• You would be comfortable collaborating with cross-functional teams.
• Active personal GitHub account.