Autosar Comstack & Diagnostics Developer/Tech lead/Architect

We are looking for a Frontend/Platform Operator to ensure the smooth day-to-day operations of our E-lock GPS web-based platform. This role involves monitoring the platform’s performance, resolving minor frontend issues, and reporting bugs to the development team.

Key Responsibilities:

• Monitor the frontend of the web platform for glitches, bugs, or user-reported issues.
• Perform minor frontend updates (HTML/CSS) as needed.
• Collaborate with the IT Administrator and report major issues to the developers.
• Provide user support for platform-related queries (internal team or customers).
• Document platform performance and generate basic usage reports.

Skills Required:

• Basic knowledge of HTML, CSS, and JavaScript.
• Familiarity with frontend frameworks like React.js or basic debugging tools (preferred).
• Understanding of how frontend and backend APIs work together.
• Strong communication skills for reporting issues and collaborating with other teams.

Education and Experience:

• Bachelor’s degree in IT, Computer Science, or related field (preferred).
• 1-2 years of experience in web operations, frontend development, or technical support.

NOTE: We’re inviting applications for a 6-month internship in Frontend/Platform Operator at Mondiale Technologies, a company at the forefront of smart logistics and IoT-based tracking solutions

Eligibility: Final-year students or fresh graduates in BCA / B.Sc. IT / B.Tech / MCA / Diploma in Computer Science or related fields

Internship Highlights:

• Hands-on experience managing and operating our real-time asset tracking web platform
• Support platform users by monitoring dashboards, raising tickets, and resolving basic interface issues
• Coordinate with tech and support teams for data validations and updates
• Exposure to frontend tools, UI testing, and client-side reporting
• Learn to work in a live SaaS environment used by logistics and fleet management teams

Stipend: YES

✅ Pre-placement offer for high-performing candidates

Candidates who successfully complete the internship and demonstrate strong performance will be offered a regular full-time role within the company.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Job Title: Marketing Associate (Outbound)

Company: All Wave AV

Website: www.allwaveav.com

Location: Hyderabad, India

Company Overview:

All Wave AV is a premier AV Integrator headquartered in Mumbai, India, specializing in executing projects and delivering services for global enterprises across India. With over 300+ installations spanning 22+ years, our team of 90+ professionals provides professionalism and precision in all our installations. We are a full-stack System Integrator, offering design, supply, installation, and maintenance services. As members of the PSNI Global Alliance, we ensure the highest standards in delivering projects and services.

Job Description:

We are seeking a Marketing Associate (Outbound) to join our team. The ideal candidate will have a pleasant voice and the ability to prospect leads and set up appointments and demos. Previous experience in selling technology, software, or hardware solutions would be a bonus. The compensation package will be based on experience and will include a small variable component based on outcomes.

Responsibilities:

Build a quantifiable sales pipeline using the provided database.

Use a pleasant voice to communicate effectively with potential clients.

Demonstrate excellent English speaking and writing skills.

Ensure accurate and concise explanations of our solutions during phone calls and follow up with appropriate emails to decision-makers.

Assist in building a sales team while adhering to the established process.

Conduct occasional Zoom calls as required.

Work primarily from the office.

Qualifications:

Bachelor's degree.

Minimum 2 years of experience in outbound tele-calling, making 30-40 calls per day.

Strong communication skills, both verbal and written.

Ability to remain composed under pressure.

Highly organized and professional in approach.

General Description:

Safety Connect is a leading company in the domain of enterprise field force safety. We are looking for a high-energy and dynamic Sr. Product Manager to join our growing team.

The Senior product manager will manage the successful development and implementation of the product from beginning to end. This person will see strategic ideas from design and testing to implementation and market introduction.

Roles and Responsibilities:

• Build and share product strategy: Help distil the ideas and needs of stakeholders into clear quarterly and annual goals that meet the needs of Picnic and our users
  • You will also ensure stakeholders have a solid understanding of the product and its capabilities to ensure company-wide success
• Guide new feature creation: Draft, distribute, validate and update product briefs and product requirement documents
  • Answer questions and troubleshoot issues throughout the release lifecycle, communicating with engineers through our ticket management and knowledge base tool
• Increase Safety Connect’s focus on the user: Help establish a metrics-driven analysis of user behaviour and solicitation of user feedback.
  • Work with clients to understand their unique needs and pain points
  • Capture and share client feedback with the team to best investigate ways to create a solution
  • Report the success of the products and strategize improvements needed
• Be the glue: A senior product manager at a startup like Safety Connect has unique visibility across teams, allowing them to see problems and solutions that might otherwise be missed
  • Spotting problems and managing their resolution in an ongoing, ad hoc way is a critical part of product management success at Picnic

Qualification required:

• 5 year’s experience in product management
• Experience in product management in Enterprise SaaS
• A strong individual contributor who can also lead people and teams
• Impeccable analytical mindset, project management, and organizational skills
• Experience working directly with engineering teams to deliver valuable features and capabilities

As a 3D modeler you will be responsible for creating virtual worlds and characters. You will be bringing life into sketches and concept art. You will be working in a team with lots of other talented artists, engineers and programmers. You must be well versed with industry standard 3D modeling programs and tools. Good spatial skills and a well honed sense of color and design will help you succeed in this job.

Responsibilities

• Create and manage digital assets
• Interpret concept art and sketches to create virtual characters, environment and props
• Follow design guidelines, asset naming conventions and other technical constraints
• Prototype and iterate on models and characters based on feedback from team members
• Create textures and UV maps
• Optimize, refine and correct model geometry
• Rig models and characters for animation
• Work with artists, animators and programmers to execute projects on time
• Keep abreast with the latest developments in 3D design, capture and modeling tools and technologies

Requirements

• Expert level knowledge of 3D design in 3DS Max
• An eye for detail and good visualization skills
• Ability to take feedback and make changes as required
• Extensive knowledge of character design, rigging, skinning etc.
• Some familiarity with animation techniques
• Good communication skills
• Minimum 2 years of experience in 3D design and modeling

Contract length: 12 months

• Independently own one or more multiple modules, which includes: requirement analysis, design, development, maintenance & support
• Write extensive, efficient code to address complex modules and that handles interaction between multiple components. 
• Rapidly iterate to add new functionalities and solves complex problems with simple and intuitive solutions
• Produce architecture with clean interfaces, that are efficient and scalable
• Participate and contribute to architectural discussions
• Perform design and code reviews
• Perform technical feasibility and trade off studies & guides others to perform these studies
• Solve production issues. Investigate and provide solutions to minimize the business impact due to outage
• Continuously improve performance metrics of modules you own.
• Actively mentor and develop junior developers in all software development practices
• Participate in the hiring process (referrals, interviews, attending recruiting events or writing blogs)
• Onboard and mentors new team members, helps shape the culture of the team