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Work on requested engine enhancements that deliver on requested functionality and performance.
Create Photorealistic 3D Exterior, interior Archviz Scenes and City Environments, also in AR & VR
Work on improvements to our pipelines and tooling.
Debug engine or game issues and suggest or implement solutions.
Propose and build tools or technologies that could enhance the ability to deliver content in an efficient and timely manner.
Optimize for memory, CPU, and rendering performance.
Strong Senior Solutions Engineer (Pre-Sales) Profile
2
Mandatory (Experience 1) – Must have 5+ years of experience, with 3+ years in a customer-facing Pre-Sales / Solutions Engineering role within a B2B SaaS company
3
Mandatory (Experience 2) – Must have spent the last 3 years in a Solutions Engineer, Solutions Consultant, Pre-Sales Engineer, Product Specialist, or similar Pre-Sales role. (Avoid Post-Sales/Implementation profiles)
4
Mandatory (Experience 3) –Must have hands-on experience conducting technical discovery sessions, product demos, proof-of-concepts (POCs), preparing business case documents, and responding to RFPs for enterprise or mid-market customers
5
Mandatory (Experience 4) –Must have hands-on experience in solutioning, configuring, and delivering technical demonstrations of SaaS products, while partnering closely with Account Executives to drive deal closure.
6
Mandatory (Experience 5) – Must have co-owned sales cycles for $50K+ ACV opportunities, where selling $50K+ ACV deals was the core sales motion
7
Mandatory (Experience 6) – Must possess a strong understanding of APIs, SaaS architecture, integrations, and technical solution design, with the ability to engage confidently with technical stakeholders and CXOs.
8
Mandatory (Experience 7) – Must have worked primarily with US customers, with significant experience supporting North American sales cycles.
9
Mandatory (Company) – B2B SaaS (Avoid candidates from High Radius Company)
10
Mandatory (Graduation Year) – Candidates should have graduated between 2018 - 2021
11
Mandatory (CTC) – Candidates' current CTC should be greater than 18L
12
Preferred (Experience 1) - Experience using CRM tools (Salesforce, HubSpot, etc.) to manage opportunities, customer engagements, and sales pipelines.
13
Preferred (Experience 2) – Experience in FinTech domains such as billing, accounting, or revenue recognition systems (e.g., invoices, contracts, receivables, pricing models).
14
Preferred (Experience 3) - Experience working with Enterprise and Mid-Market customers, including direct interactions with CXO-level stakeholders.
SASSTitle: Account Manager- (SaaS – US Market)
Experience: 3–8 Years
Location-Bangalore work from the office
Department: Sales
Industry: B2B SaaS
Sales Segment: Small & Medium Businesses (SMB)
Market: United States
Employment Type: Full-time
Key Responsibilities
Own the end-to-end SMB sales cycle (prospecting to close) for U.S.-based customers
Handle inbound and outbound leads, including cold outreach
Conduct product demos, discovery calls, and negotiations
Build and manage a healthy sales pipeline and accurate forecasts
Consistently achieve or exceed monthly and quarterly quotas
Maintain accurate CRM records and sales activity tracking
Required Qualifications
3–8 years of experience as an Account Executive in B2B SaaS
Strong experience selling to SMB customers (not enterprise-only profiles)
Direct exposure to selling in the U.S. market
Proven track record of quota achievement
Excellent communication, negotiation, and closing skills
Hands-on experience with CRM tools such as HubSpot
Strong understanding of U.S. buyer behavior and SMB needs
Preferred Qualifications
Experience in fast-paced SaaS startups or growth-stage companies
Familiarity with high-volume deal environments ($5k–$100k ARR)
Strong consultative selling approach
Strong understanding of U.S. buyer behavior and SMB needs
. Capability to raise/handle the support tickets presented with the Neo4j support team for product-related issues.
. To assist in planning the backup / HA / DR activities for Neo4j databases.
. Work on new and existing product initiatives and be a driver in the definition of product direction.
. Monitor data release management actions to manage issues as they arise and identify risks and mitigation responses that could impact data analytics customers or stakeholders.
. Partner effectively and influence the team's peers to fine-tune the cipher queries and support them on the static/incremental data loads.
. Take ownership - collaborate with technical and business teams to build innovative and solutions for database problems.
. Who would set the strategy and vision to improve/enhance the database architecture to support the growing data-load
. Capability to design database models and database infrastructure for highly scalable/ reliable applications.
PythonAbout Corridor Platforms
Corridor Platforms is a leader in next-generation risk decisioning and responsible AI governance, empowering banks and lenders to build transparent, compliant, and data-driven solutions. Our platforms combine advanced analytics, real-time data integration, and GenAI to support complex financial decision workflows for regulated industries.
Role Overview
As a Backend Engineer at Corridor Platforms, you will:
- Architect, develop, and maintain backend components for our Risk Decisioning Platform.
- Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
- Integrate with ORM layers – such as SQLAlchemy – and multi RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc) to ensure data integrity, scalability, and compliance.
- Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
- Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
- Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.
Technical Skills
- Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular
- Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark
- Databases: PostgreSQL, Oracle, SQL Server, Redis
- Tools: pytest, Docker, Git, Nx
- Cloud: Experience with AWS, Azure, or GCP preferred
- Monitoring: Familiarity with OpenTelemetry and logging frameworks
Why Join Us?
- Cutting-Edge Tech: Work hands-on with the latest AI, cloud-native workflows, and big data tools—all within a single compliant platform.
- End-to-End Impact: Contribute to mission-critical backend systems, from core data models to live production decision services.
- Innovation at Scale: Engineer solutions that process vast data volumes, helping financial institutions innovate safely and effectively.
- Mission-Driven: Join a passionate team advancing fair, transparent, and compliant risk decisioning at the forefront of fintech and AI governance.
What We’re Looking For
- Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
- Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
- Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
- Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
- Experience mentoring and guiding junior developers.
Ready to build backends that shape the future of decision intelligence and responsible AI?
Apply now and become part of the innovation at Corridor Platforms!
.NET
Redis
Hi Folks!!
Currently we are hiring for Network Engineer for Top MNC
Roles and Responsibilities:
· Providing support to the Enterprise level clients in configuration of the Wireless LAN Controllers, Access Points and CPPM server
· Troubleshooting all kind of network and user connectivity issues post deployment
· Fault localization and restoration of service over remote session
· Handling POC cases and escalation tickets as well
· Making configuration changes as per customer’s requirement and wireless environment
· Co-ordinate with multi-vendors engineers to have successful user authentication like Layer-2 Security features 802.1x authentication, Port security and VLAN Mobility
· Co-ordinate with L3 Engineers to resolve critical issues
· Effectively handle network outage issues and resolve them in a timely manner
· Configuring Authentication and encryption in wireless networks with Clear pass
· Working with AAA configuration, including AD, LDAP, RADIUS for Windows and MAC OS X platform
· Reviewing the WLAN configuration of customers and identifying any configuration mistakes that could cause potential issues
· Recreating/simulating the customer’s issues in the local lab to verify the issue and provide an effective resolution
· Providing network support for client’s wired and wireless networks via remote management and telephone
· Conduct technical discussion with level 1 engineers on weekly basis
Required Skills:
· CCNA certified with Wireless Knowledge
· Basic Knowledge on any of Aruba Clear Pass, FortiNAC, Cisco ISE NAC solution
· Basic implementation skills on Aruba Clear Pass for Wired, Wireless and Guest NAC solution.
· Must have experience in configuring switches, routers.
· Must provide technical support for the team & projects during escalation.
· Good understanding of dot1x, mac authentication and solution for BYOD
· Capable to prepare HLD (high level design) and LLD (low level design) for new requirements.
Responsibilities
- Responsible for performing verification for AMS designs.
- Create UVM benches for mixed signal blocks and developing test scenarios.
- Work closely with the architecture and design teams on verification plan and methodology to achieve complete verification coverage
- Write assertions and checkers for the properties and corner cases
- Analyze verification coverage and improve the test cases
- Integrate analogue design IPs from vendors and internal teams and develop verification environments for simulation and emulation
Requirements
- Detailed knowledge of verification using SystemVerilog
- Experience with creating UVM based testbenches for Analog Mixed-Signal applications
- Experience with assertion based verification for analog blocks
- Experience with power aware verification with UPF will be a plus
- UVM-AMS experience preferred
- Experience with sv-real preferred
- Scripting skills in perl / python is preferred
- Excellent communication skills
- Team player with an ability to encourage team members
Education & Experience
- MS (preferred in EE and CE) plus 5 years
Note:
Annual job salary: The annual job salary mentioned in this posting is a default number taken by cutshort and is inaccurate. <Not mentioned/ disclosed by Rivos>
Resumes:
Interested folks with 5+ years to 20 years of experience into AMS Verification, Please reach out to the Recruiter Deepa Savant to learn more about the job and discuss details.
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Docker
Kubernetes
Amazon Web Services (AWS)-
Pixuate is a deep-tech AI start-up enabling businesses make smarter decisions with our edge-based video analytics platform and offer innovative solutions across traffic management, industrial digital transformation, and smart surveillance. We aim to serve enterprises globally as a preferred partner for digitization of visual information.
Job Description
We at Pixuate are looking for highly motivated and talented Senior DevOps Engineers to support building the next generation, innovative, deep-tech AI based products. If you are someone who has a passion for building a great software, has analytical mindset and enjoys solving complex problems, thrives in a challenging environment, self-driven, constantly exploring & learning new technologies, have ability to succeed on one’s own merits and fast-track your career growth we would love to talk!
What do we expect from this role?
- This role’s key area of focus is to co-ordinate and manage the product from development through deployment, working with rest of the engineering team to ensure smooth functioning.
- Work closely with the Head of Engineering in building out the infrastructure required to deploy, monitor and scale the services and systems.
- Act as the technical expert, innovator, and strategic thought leader within the Cloud Native Development, DevOps and CI/CD pipeline technology engineering discipline.
- Should be able to understand how technology works and how various structures fall in place, with a high-level understanding of working with various operating systems and their implications.
- Troubleshoots basic software or DevOps stack issues
You would be great at this job, if you have below mentioned competencies
- Tech /M.Tech/MCA/ BSc / MSc/ BCA preferably in Computer Science
- 5+ years of relevant work experience
- https://www.edureka.co/blog/devops-skills#knowledge">Knowledge on Various DevOps Tools and Technologies
- Should have worked on tools like Docker, Kubernetes, Ansible in a production environment for data intensive systems.
- Experience in developing https://www.edureka.co/blog/continuous-delivery/">Continuous Integration/ Continuous Delivery pipelines (CI/ CD) preferably using Jenkins, scripting (Shell / Python) and https://www.edureka.co/blog/what-is-git/">Git and Git workflows
- Experience implementing role based security, including AD integration, security policies, and auditing in a Linux/Hadoop/AWS environment.
- Experience with the design and implementation of big data backup/recovery solutions.
- Strong Linux fundamentals and scripting; experience as Linux Admin is good to have.
- Working knowledge in Python is a plus
- Working knowledge of TCP/IP networking, SMTP, HTTP, load-balancers (ELB, HAProxy) and high availability architecture is a plus
- Strong interpersonal and communication skills
- Proven ability to complete projects according to outlined scope and timeline
- Willingness to travel within India and internationally whenever required
- Demonstrated leadership qualities in past roles
More about Pixuate:
Pixuate, owned by Cocoslabs Innovative Solutions Pvt. Ltd., is a leading AI startup building the most advanced Edge-based video analytics products. We are recognized for our cutting-edge R&D in deep learning, computer vision and AI and we are solving some of the most challenging problems faced by enterprises. Pixuate’s plug-and-play platform revolutionizes monitoring, compliance to safety, and efficiency improvement for Industries, Banks & Enterprises by providing actionable real-time insights leveraging CCTV cameras.
We have enabled our customers such as Hindustan Unilever, Godrej, Secuira, L&T, Bigbasket, Microlabs, Karnataka Bank etc and rapidly expanding our business to cater to the needs of Manufacturing & Logistics, Oil and Gas sector.
Rewards & Recognitions:
- Winner of Elevate by Startup Karnataka (https://pixuate.ai/thermal-analytics/">https://pixuate.ai/thermal-analytics/).
- Winner of Manufacturing Innovation Challenge in the 2nd edition of Fusion 4.0’s MIC2020 organized by the NASSCOM Centre of Excellence in IoT & AI in 2021
- Winner of SASACT program organized by MEITY in 2021
Why join us?
You will get an opportunity to work with the founders and be part of 0 to 1 journey& get coached and guided. You will also get an opportunity to excel your skills by being innovative and contributing to the area of your personal interest. Our culture encourages innovation, freedom and rewards high performers with faster growth and recognition.
Where to find us?
Website: http://pixuate.com/">http://pixuate.com/
Linked in: https://www.linkedin.com/company/pixuate-ai
Work from Office – BengaluruPlace of Work:
Job Description:
- As part of the core leadership team, you will spearhead sales acquisition and operations initiatives for the organization with respect to apartment societies.
- Leading a team in the large sales function of NoBrokerHood by demonstrating leadership skills through building teams, driving key process metrics, creating superlative work culture, bringing strong customer focus and leading the company to exponential growth.
- Manage a team of BD Managers, Operations team and responsible for overall performance of the team and city
- Will be responsible for strategic partnerships with Builders, Facility Management Companies etc.
- Working cohesively with a team of equally talented and passionate colleagues to develop short and long-term strategies to efficiently grow the business.
- Utilizing high level of work independence and autonomy of decisions to enable team for 100X growth
- Identifying, experimenting and executing innovative ideas for expansion
Desired Skills:
- Proven field sales experience (B2B or B2C)
- Team management skills to manage a field sales team
- Total Experience of 3 to 5 years with team management experience of minimum 1 year
What we have to offer-
- Working directly with leadership team; having high level of work independence, autonomy and empowerment to lead company-wide changes
- Being part of a start-up from an early stage, lead your area of expertise and be a part of this exciting growth journey of changing the real estate world
- Excellent platform for learning how to build teams, achieve goals and handle high growth situations. Ideal for people with entrepreneurial ambitions.
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