11+ Value engineering Jobs in Bangalore (Bengaluru) | Value engineering Job openings in Bangalore (Bengaluru)

Description

JOB DESCRIPTION – SENIOR ANALYST – DATA SCIENTIST 

Key Responsibilities ·       

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions·       

Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)·       

Solid understanding of time-series forecasting techniques·       

Good hands-on skills in both feature engineering and hyperparameter optimization·       

Able to write clean and tested code that can be maintained by other software engineers·       

Able to clearly summarize and communicate data analysis assumptions and results·       

Able to craft effective data pipelines to transform your analyses from offline to production systems·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions·       

Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change·       

Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science·       

Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment ·       

Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential·       

Lead discussions at peer review and use interpersonal skills to positively influence decision making·       

Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices·       

Facilitate cross-geography sharing of new ideas, learnings, and best-practices 

What We Are Looking For 

Required Qualifications ·       

Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field. ·       

4 – 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting·       

A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project ·       

Strong experience in Time Series Forecasting and Demand Planning ·       

Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) ·       

Good hands-on skills in both feature engineering and hyperparameter optimization ·       

Experience producing high-quality code, tests, documentation·       

Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies·       

Proficiency in statistical concepts and ML algorithms·       

Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team·       

Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results·       

Self-motivated and a proactive problem solver who can work independently and in teams·       

Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams 

Desired Qualifications ·      

Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred ·       

Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred ·       

Experience in creating CI/CD pipelines for deployment using Jenkins. ·       

Experience implementing MLOPs framework along with understanding of data security·       

Implementation on ML models·       

Exposure to visualization packages and Azure tech stack.  

Must have skills

Python - 2 years

Data Science - 4 years

SQL - 2 years

Machine Learning - 2 years

Nice to have skills

Data Analysis - 4 years

Time Series Forecasting - 2 years

Demand Planning - 2 years

Hadoop - 2 years

Statistical concepts - 2 years

Supply chain functions - 2 years

A Real Estate Sales Executive is responsible for handling leads provided by the company and contacting potential customers to schedule property site visits. The role involves explaining property details over calls, coordinating and lining up site visits, and assisting clients during the visit by showing the project location and highlighting key features. The executive will guide customers through the buying process, address their queries, negotiate when required, and work towards closing the deal. Strong communication, client-handling skills, and the ability to convert prospects into successful sales are essential for this role.

Job Title: ServiceNow Developer

📍 Location: PAN India

🏠 Work Mode: Hybrid – 3 Days Work from Office, 2 Days WFH

🕒 Shift Timings: 9:30 AM – 6:30 PM IST

✅ Key Requirements:

• Total Experience: 4–7 years
• Relevant Experience in ServiceNow: Minimum 5 years
• Project/People Management: Strong experience managing end-to-end ServiceNow implementations and delivery cycles

🛠️ Primary Skills:

• 5+ years of hands-on experience in ServiceNow platform (including modules like ITSM, ITOM, GRC, SecOps, or IRM preferred)
• Ability to lead technical teams and drive requirements, development, testing, and delivery phases
• Proficient in ServiceNow customization, scripting, workflows, and integrations

🧩 Secondary Skills:

• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint)
• Experience with Microsoft Project for planning and tracking activities

🎯 Responsibilities:

• Act as the single point of contact for all ServiceNow-related project activities
• Drive project execution, track milestones, and deliverables
• Liaise between technical teams, business stakeholders, and vendors
• Ensure compliance with client standards and delivery expectations

Prepare and present reports, dashboards, and project documentation

Who are we?  

Whatfix is the #1 Digital Adoption Platform (DAP) for Enterprises. We are disrupting the way Learning, Training and Application Support content is consumed. We provide large enterprises with a SaaS platform that helps accelerate product adoption and reduce support & training efforts by providing contextual and step by step guidance inside any web application at the exact time a task is being performed. The product has redefined the way companies onboard, train, and provide support to users. 

What sets us apart from the rest?

With over 100 of the Fortune 500 companies already onboard as customers, Whatfix has been named among the top 20 B2B tech companies alongside the likes of Adobe, PayPal, and Cisco.

With a YoY growth of 300%, we have also been recognized among the top 50 fastest growing SaaS companies worldwide in the SaaS 1000 list and as a Market Leader by Gartner in the Digital Adoption space. 

We are pleased to have an Employee rating of 4.6 on Glassdoor and our Customer obsession can be seen in our reviews on platforms like G2 Crowd & Gartner Peer Insights.

The employees are happy, the customers are happy, but what about the investors? Take a look for yourself - Sequoia Capital || Stellaris || Cisco || Eight Roads || Helion Ventures

“Hustle Mode ON” is something we live by.

Our Team:

The Engineering team at Whatfix provides end to end engineering throughput that forms part of core platforms and services that drive Whatfix business.

Our team is responsible for creating the Customer Platform and everything around it be it Analytics, Infrastructure or Core Algorithms. The team owns and is responsible for all pieces that we design, build and support end to end for Whatfix product/ business.

 Your Opportunity:

As part of the Core Engineering Team @Whatfix, you’ll have the opportunity to make a difference by being a part of the development team that builds future forward products. At Whatfix it’s all about scale. One of the key attributes of this job is that you are required to continuously innovate and apply technology to provide business 360 views of Whatfix customers.

 Your Responsibility:

1. Define architecture blueprints & take complete technical ownership of high-level design, tech stack, non-functional attributes of one or more components of various platforms
2. Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide
3. Work closely with other architects in the team and ensure architectural consistency and technical excellence of the products and platforms
4. Work with engineering teams in building high-quality and highly resilient scalable products and platforms at Whatfix
5. Work with cross-functional teams to address all technical dependencies
6. Drive some of the company-wide tech initiatives striving towards continuous technical excellence of our platforms
7. Actively participate in technical innovations, external presentations, technical publications etc.
8. Identify right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open-source forums
9. Deploy and monitor products on Cloud platforms

 Our Ideal Candidate:

You have a deep interest and passion for technology. You love writing and owning code and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision-making and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities.

 Your Qualifications:

1. 11+ years of experience as an Engineer
2. Ability to work with teams in a collaborative and productive manner
3. Strong computer science fundamentals in data structures and algorithms
4. A self-motivated learner and builder with strong customer focus and obsession with quality

 Must-Have:

1. Strong Expertise in Backend Technologies- Java, Spring Boot, etc 
2. Expertise in working with AWS or other cloud infrastructures like Azure or Google Cloud, and using Infrastructure-as-Code tools
3. Analyze Functional & Non-Functional requirements with effort estimation and deployment strategies
4. Hands-on in Architecting and developing large scale applications
5. Hands-on debugging skills
6. Design for performance, scalability, fault tolerance and high availability

 Good to have:

1. Experience in Client-side technologies such as jQuery
2. Experience in Front End Technologies is good to have (Javascript, React)
3. Experience with Storage systems - NoSQL (Cassandra/MongoDB)
4. Leveraging cutting edge technologies like Kubernetes, Docker, etc. to design and build new infrastructure features

  Behavioural traits: 

1. Excellent communication and technical leadership skills
2. Can-do attitude to take BIG problems by their horns and solve them
3. Ability to inspire others & be a role model and mentor for upcoming engineers in the organization
4. Entrepreneurial spirit to conceive ideas, turn challenges into opportunities and build products

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler

We are looking for a back end developer with strong foundational knowledge of SQL, microservices architecture and Javascript.

Please don't apply if experience < 2 years || Javascript !=advanced

Responsibilities:

1. Back end ownership and implementation of projects in Node.js

2. Strong knowledge of JS and SQL is critical

3. Knowledge and experince of working on RHEL/Ubutnu servers is an additional bonus

4. Experience in writing large modularised projects

5. Production experience in implementing highly scalable microservices

At Gida, you’ll be developing and contributing to different applications and projects. If you’re the person with the right calibre and mindset, you’ll get opportunities to work on diverse projects and learn new skills.

Hybrid work model - work from home with 1-2 days in office

GreedyGame is looking for a Quality Assurance Engineer to join its clan! We are looking to get a kick ass engineer on board who has the knack for finding the quirkiest bugs. You’ll be working alongside other engineers and developers, collaborating on the various layers of the infrastructure for our platform.

WHAT WILL BE YOUR RESPONSIBILITIES?

• Work with our proprietary Java and Kotlin based SDK to find performance and functionality related issues.
• Working with in-house Dashboards to perform testing of UI and APIs. 
• Collaborating with teams to create test documents.
• Manual and automation testing for Mobile apps and games (Both android and iOS)
• Planning and task management in congruence with the Leadership Team.

WHAT ARE WE LOOKING FOR?

1. Knowledge of software QA methodologies, tools, and processes

2. Experience in project management is a plus

3. Ability to automate android application and web-application is a plus

4. Experience in working with proxy tools like Charles Proxy, Fiddler, etc., and the android studio is a plus

5. Expertise in API testing tools like Postman, REST Assured, etc. is a plus

6. Knowledge of Agile scrum methodologies

7. Strong analytical, logical, and problem-solving skills

8. Experienced in creating Test Plan, Test Case, and Test Report

WHAT ARE WE BUILDING?

GreedyGame is building mobile first advertising solutions. We are a platform which enables blending of ads within mobile apps and games so that they become a part of the content. This allows developers to monetise their apps and games without degrading the user experience. Check out greedygame.com to know more!

WHAT'S IN IT FOR YOU?

• Opportunity to be a part of the big disruption we are creating in the ad-tech space.
• Learn and grow at a free, open and fast paced environment
• Office in one of the most happening places in Bangalore.
• An amazing clan and the opportunity to be a part of it, free lunch on all days of the week, fully stocked pantry within 20 feet reach, a foosball table to burst stress and a great working environment.
• Continuous feedback system to ensure that improvement is a constant focus.