QA Engineer

MindInventory is a leading digital transformation company in Ahmedabad that helps businesses of all sizes adopt cutting-edge technologies to achieve their digital ambitions. We are committed to providing practical tech solutions that drive growth with measurable results.

Experience: 3-5 Years

Location: Ahmedabad, Gujarat

Type: Full time, Work From Office

Roles and Responsibilities:

- Write reusable, testable, and efficient code.

- Design and implement of low-latency, high-availability, and performant applications.

- Integration of user-facing elements developed by front-end developers with server side logic.

- Implementation of security and data protection.

- Integration of data storage solutions.

- Performance tuning, improvement, balancing, usability, automation.

- Work collaboratively with design team to understand end user requirements to provide technical solutions and for the implementation of new software features.

- Good understanding of Python, Django and Flask.

- Good exposure on python scientific libraries ( Numpy, Pandas, Tensorflow).

- Strong knowledge on data structures and designing for performance, scalability and availability Knowledge in MongoDB and Web services.

- Experience in Microservices, Big data technologies will be a plus.

- Good grasp of algorithms, memory management and multithreaded programming.

- Good to have - Mysql, Redis, ElasticSearch.

- Able to fit in well within an informal startup environment and to provide hands-on management.

- High energy level and untiring commitment to drive oneself & the team towards goals.

- Expert in Python, with knowledge of at least one Python web framework (such as Django,Flask,etc).

- Should have done development on Django and other UI web Frameworks.

- Basic understanding HTML, CSS, JavaScript, JQuery, JS Libraries like AngularJs.

- Implementing SOAP based and RESTful services.

- UNIX/LINUX experience is an added advantage.

- Should have experience in Database & SQL.

- Good understanding of server-side templating languages such as Jinja 2, Mako, etc.

- Strong unit test and debugging skills.

- Proficient understanding of code versioning tools (such as Git, Mercurial or SVN).

Position: Business Development Manager

Shift Timing: 10 AM to 6 PM - Monday to Saturday (Remote)

Company: JNJ Technologies & Services LLP

Language: English  

Salary: 5 LPA to 8 LPA

We are looking for a motivated and ambitious Business Development Manager to expand our clientele. You will be responsible for applying different sales strategies and work with dedication to increase sales. Your ultimate goal will be to drive sustainable financial growth by boosting sales and maintaining strong client relationships.

Requirements:

• Bachelor’s degree in business, marketing or related field.

• 4 - 8 Years of Experience in sales, marketing or related field.

• Strong communication skills and IT fluency.

• Ability to manage complex projects and multi-task.

• Excellent organizational skills.

• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.

• Proficient in Word, Excel, Outlook, and PowerPoint.

• Comfortable using a computer for various tasks.

Responsibilities:

• Develop a growth strategy focused both on financial gain and customer satisfaction

• The responsibilities of a Sales Manager Own recruiting, objectives setting, coaching and performance monitoring of sales representatives.

• Keep records of sales, revenue, invoices etc.

• Provide trustworthy feedback and after-sales support

Are you a motivated and knowledgeable engineer ready to make a significant impact in the world of advanced technology? Designnex is on the lookout for a dynamic Design Verification Engineer to join our innovative team. In this exciting role, you will collaborate closely with customers to verify cutting-edge Interface IP (IIP) in their ASIC SoC/systems for groundbreaking next-generation products.

Key Responsibilities:

• Collaborate with customers to verify cutting-edge IPs in their ASIC SoC/systems.
• Provide support throughout the ASIC design cycle, focusing on design verification.
• Engage with the latest industry specifications and applications.
• Work with a diverse, worldwide team and interact with industry experts and leaders.

Key Qualifications:

• Experience: At least 2 years of related ASIC design verification experience. Strong academic backgrounds with relevant knowledge considered.

Skills:

• Experience in IP design verification flow of ASIC/SoC design (e.g., simulation, verification, RTL synthesis).
• Advanced lab experience (e.g., ATE, high-speed interface IP bring-up).
• Strong communication skills and ability to interact with peers from different geographies.
• Proficiency in UVM and SystemVerilog.
• Good to Know: PCIE and CXL specifications and design verification.

Preferred Experience:

• Technical knowledge of Interface IPs such as PCIe, Ethernet Protocols, Specification, Design, Verification, and Implementation.
• Proven track record in meeting tight schedules and handling multiple projects concurrently.
• Experience in various ASIC design cycles, including HIP/SIP integration into high-scale SoCs, design verification flows, physical implementation, SI/PI, and silicon bring-up in the lab.

Join Designnex and be part of a team at the forefront of technological advancements. Apply today and help shape the future of ASIC design and integration!

About Us

Censius is a US-based product company that is enabling AI at scale for enterprises. We are unlocking MLOps scalability by building the world's fastest way to deploy models and are amongst the earliest companies to tackle Model Performance Management. At Censius, you will get to solve difficult problems in a very nascent, but rapidly growing, area.

About the role

In this role, you will design and implement a generic ML platform that helps monitor models across modalities in production. You will collaborate with the research and development teams to build robust ML and big data monitoring platforms.

Responsibilities

* Work on large-scale machine learning challenges that impact millions of people around the globe

* Research and implement cutting-edge algorithms and implement pipelines that work with massive data sets in real-time

* Implementing fast, scalable solutions with optimal performance day in and out

* Machine-learning being the core of our business, this role will be responsible for all phases of the product development lifecycle

* Evaluate and validate the analyses with statistical methods and explain to people unfamiliar with the domain of data science

* Writing specifications for algorithms, reports on data analysis, documentation of algorithms, and collaborating with product teams' skills and attributes for success will want you to have

* Strong programming skills in Python.

* Working experience with a variety of ML techniques (decision trees, clustering, boosting, bagging, neural networks, etc.)

* Working experience with advanced statistical concepts (outliers, distance, regression, distributions, statistical tests, etc.)

* Hands-on experience with one or more machine learning frameworks - PyTorch, Keras, Tensorflow, XGBoost, and libraries - Pandas, NumPY, Scikit-learn

* Familiarity with ML platforms like MLflow, Weights&Biases, Kubeflow, and AWS SageMaker.It'd be nice if you have* Passion for developing data products from scratch and a high level of proactiveness

* Knowledge of Reinforcement learning and Optimisation problems on a large scale is a big plus

* Some experience in project management and mentoring is also a plus.

* Knowledge and experience in deploying large-scale systems using distributed and cloud-based systems (Hadoop, Amazon EC2) is a big plus.

You will excel in this role if

* You are scrappy, take ownership, and follow through to the very end

* You enjoy wearing multiple hats

* A sincere desire to learn and grow - we're quite small, so the desire to learn and grow as the company grows is essential!

Benefits

• Competitive Salary 💸
• Work Remotely 🌎
• Health insurance 🏥
• Unlimited Time Off ⏰
• Support for continual learning (free books and online courses) 📚
• Reimbursement for streaming services (think Netflix) 🎥
• Reimbursement for gym or physical activity of your choice 🏋🏽♀️
• Flex hours 💪
• Leveling Up Opportunities 🌱