
- Experience in designing and implementing verification environments for complex RTL designs
- Well-versed in the use of hardware verification languages e.g. SystemVerilog or Specman e
- Verification methodologies such as UVM
- Understanding of end-to-end verification processes, from test plan creation through to verification closure
- Ability to quickly understand and apply complex specification detail
- Understanding of the fundamentals of computer architecture, with an emphasis on pipelining, exception handling, memory systems
- Practical experience of working on microprocessor designs
- In-depth understanding of memory protection, memory translation, vector processing in CPUs, exception and interrupt handling.
- Understanding of constrained random stimulus, the goals and general usefulness of different types of coverage in hardware, as well as checking methodologies and behavioral functional models.
- Knowledge of assembly language (preferably Arm), and/or C/C++
- In-depth technical reviewing of others work

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AI Platform Engineer, OpenShift / NVIDIA (Freelance)
Positions: 1
Experience: Ideally 6-10 years.
Mission
Own deployment and operation of the underlying enterprise AI/model-serving platform.
Mandatory capabilities
- Kubernetes
- Red Hat OpenShift
- Containers/Docker/OCI
- Helm
- Linux
- CI/CD
- GitOps
- Networking
- Secrets/certificates
Registries
- Monitoring/observability
Priority AI infrastructure experience
- OpenShift AI
- KServe
- NVIDIA GPU Operator
- NVIDIA NIM
- NVIDIA AI Enterprise
- GPU inference
- Open-weight LLM deployment
- vLLM or comparable serving engines
- GPU monitoring and performance optimization
Candidates should understand practical inference concepts including tokens/sec, TTFT, prefill vs decode, context length, KV cache, prefix caching, batching, concurrency, GPU memory, quantization and model routing.
Strong sales executive profile
Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms
Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure
Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.
Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders
Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.
Mandatory (Company): B2B SaaS Product companies
Strong senior motion graphics designer profile
Mandatory (Experience 1): Must have 3 + years of professional experience in motion design with direct exposure to app-based and web-based products.
Mandatory (Experience 2): Must have end-to-end ownership of product motion design, including UI animations, micro-interactions, and product showreels that have shipped in live products.
Mandatory (Portfolio): Must have a strong portfolio showcasing product-focused motion design, UI/UX animations, and micro-interactions (not marketing-only work).
Mandatory (Domain): Must have demonstrated experience working on digital products (mobile apps / web platforms / SaaS / dashboards).
Mandatory (Collaboration):Must have experience collaborating with product designers and developers, and be able to clearly articulate motion decisions and UX rationale.
Mandatory (Tools & Skills) – Must have strong expertise in Figma, After Effects, Protopie, Lottie, and related prototyping tools.
Mandatory (Exclusion) – Do not consider candidates focused mainly on illustrartion or marketing motion graphics (ads, banners, brand films, video editing).
A Bachelor’s degree in data science, statistics, computer science, or a similar field
2+ years industry experience working in a data science role, such as statistics, machine learning,
deep learning, quantitative financial analysis, data engineering or natural language processing
Domain experience in Financial Services (banking, insurance, risk, funds) is preferred
Have and experience and be involved in producing and rapidly delivering minimum viable products,
results focused with ability to prioritize the most impactful deliverables
Strong Applied Statistics capabilities. Including excellent understanding of Machine Learning
techniques and algorithms
Hands on experience preferable in implementing scalable Machine Learning solutions using Python /
Scala / Java on Azure, AWS or Google cloud platform
Experience with storage frameworks like Hadoop, Spark, Kafka etc
Experience in building &deploying unsupervised, semi-supervised, and supervised models and be
knowledgeable in various ML algorithms such as regression models, Tree-based algorithms,
ensemble learning techniques, distance-based ML algorithms etc
Ability to track down complex data quality and data integration issues, evaluate different algorithmic
approaches, and analyse data to solve problems.
Experience in implementing parallel processing and in-memory frameworks such as H2O.ai
Job Description
> Reach out to warm leads on call and schedule product demo.
> Give product demo.
> Understand customer needs and requirements.
> Share product quotation and close the sale
> Maintain relationship with the customers.
> Get customer referrals from existing paid users.
> Provide after-sale support.
> Share weekly and monthly Sales Forecasts of probable conversion.
> Share product feedback to the product management team.
Requirement
> Excellent communication skills
> Prior sales experience is preferred.
> Good Logical and Analytical skills.
Perks.
> Smart and Collaborative team
> Best in the market Incentive Structure.
> Early-Stage start-up experience.
Qualification: Graduate/Post Graduate
Can join us immediately
Job Location: Noida
Number of working days: 6 Days
Location: Bangalore
Immediate joiners to 15 days joiners preferred
Skills: C#, ASP.NET, ENTITY FRAMEWORK, Dotnet fullstack development
- Should be independent contributor.
- Writing individual user stories that are very clear and concise and are easy to understand and implement by the development team.
- Identifying related user stories and epics, grouping them into themes as necessary and documenting the interrelationship and associated business process flows as necessary
- Prepare EPICS, Themes , User Stories and maintain product backlog, release backlog
- Constantly groom user stories, update acceptance criteria and keep the backlog up-to date
- Reviews, explain, orally, visually user stories, functional aspect of the system
- Participate in sprint review meetings, accept stories that meet the user acceptance criteria
- Manage changes to the stories, split user stories as appropriate
- Preparation of Documentation, Help files, and other project documentation to assure quality of the products and tests to be developed.
- Serve as a liaison with the business community and IT to ensure that changes are understood.
- Promptly escalate issues, which affect product delivery and quality that are beyond scope of influence and report same to Project Lead/technical lead
Must Have:
- Experience in functional decomposition of requirement in a logical manner.
- Ability to articulate functional acceptance criteria.
- Ability to draw visuals manually or using any tool to present functionality and system behavior
- Ability to interview users and capture user requirement as stories
- Client interactions during the project/product life cycle
- Good analytical skills
- 3-5 years of experience in Agriculture domain.
- Over all understanding of ERP, SCM, CRM kind of business process for better comprehension
- At least 1 full life cycle development experience of Concept to Delivery
- Hands on tools like JIRA, TFS kind of requirement management repositories
- Working experience of 3-5 years of Agile based projects as B.A. and aware of all nuances of Agile, SCRUM methodologies.
Responsibilities:
- Should act as a technical resource for the Data Science team and be involved in creating and implementing current and future Analytics projects like data lake design, data warehouse design, etc.
- Analysis and design of ETL solutions to store/fetch data from multiple systems like Google Analytics, CleverTap, CRM systems etc.
- Developing and maintaining data pipelines for real time analytics as well as batch analytics use cases.
- Collaborate with data scientists and actively work in the feature engineering and data preparation phase of model building
- Collaborate with product development and dev ops teams in implementing the data collection and aggregation solutions
- Ensure quality and consistency of the data in Data warehouse and follow best data governance practices
- Analyse large amounts of information to discover trends and patterns
- Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\
Requirements
- Bachelor’s or Masters in a highly numerate discipline such as Engineering, Science and Economics
- 2-6 years of proven experience working as a Data Engineer preferably in ecommerce/web based or consumer technologies company
- Hands on experience of working with different big data tools like Hadoop, Spark , Flink, Kafka and so on
- Good understanding of AWS ecosystem for big data analytics
- Hands on experience in creating data pipelines either using tools or by independently writing scripts
- Hands on experience in scripting languages like Python, Scala, Unix Shell scripting and so on
- Strong problem solving skills with an emphasis on product development.
- Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)
Responsibilities: -
- Designing of look-books and visually stunning collateral
- Understanding client’s needs
- Create engaging and on-brand graphics for various social media platforms
Requirements
- 1+ year of work experience
- Hands-on experience with layout design
- Degree in Design, Fine arts or Related field
- Work from office in Mumbai

Position - PHP Developer
Location Bangalore
Key Deliverables
What You'll Do
- Involve in full life-cycle application development.
- Developing Web-based Applications by using PHP framework
- Write clean, well-designed code
- Own production services, investigate and resolve issues.
- Good problem solving skills and willing to learn new technology
Qualifications & Work Experience
What makes you a great fit :-
- · Min 5-9 Years of experience in application development
- Experience in handling a team
- · Strong programming knowledge and hands-on experience with PHP
- · Strong Knowledge in Laravel Framework
- · Python Programming Experience is a plus
- · Good command and Knowledge of AJAX, HTML & CSS
- · Experience with rich client frameworks such as Vue.js, React etc
- · Must have demonstrated experience in working with Mongo DB.
- · Hands-on experience with Elasticsearch and Redis
- · Experience with Cloud infrastructure like Azure and Rackspace is a plus
- · Comfortable with agile practices, user stories and task breakdown
- · Excellent communication skills, both verbal and written
- Experience working with version control systems (Git)
- · Ability to work in a fast paced and dynamic work environment
Education Qualification
- Bachelor of Engineering in Computer Science or equivalent (Full-Time)
Soft Skills
- Being organized, responsible for your work, and being a team player
- Bringing a positive attitude to the office
- Sticking to the deadlines
- Learning and adapting fast; taking charge and being willing to listen







