
Our client is looking for a dynamic & passionate Engineering Director who can lead
the tech-stack and drive teams with great leadership qualities.
Here is the JD for Director Engineering -
Responsibilities:
Completely responsible for product delivery, development process, and engineering
team performance. Provide overall direction to the engineering team.
Create a top-performing engineering team culture with high levels of team engagement
and satisfaction.
Work with the leadership team and product leaders to define engineering roadmaps and
solve business problems.
Drive engineering efforts to deliver releases with high quality and on time.
Communicate cross-functionally, hold your command in technical discussion, and have
strategic influence.
Work with the Talent Acquisition team to hire top talent, manage their performance,
and successfully mentor them to grow professionally.
Minimum Qualifications:
Hands-on technical expertise and management experience.
8+ years of people management experience.
Demonstrated experience to recruit and manage technical teams, including team
performance management.
Must have relevant experience in designing, building, maintaining, and extending large
scale production systems.
Have deep expertise in React.js, Node JS and MongoDB.
Strong software engineering skills and best practices including experience with a
modern agile development and deployment workflow.
Proven leadership skills; courage to challenge with candor, motivate and inspire teams.
Strong interpersonal and communication skills, for both technical and non-technical
audiences.
Bachelor’s Degree in Computer Science, Software Engineering, or related field.

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Experience: 3+ years of experience in designing and developing AI solutions.
Qualification: Bachelor s degree in Computer Science, Data Science, or a related field (e.g., Mathematics, Engineering)
Location: Should be based out of Surat or ready to relocate to Surat
Position Overview
We are seeking a highly skilled and experienced Senior AI/ML Developer to lead the development and integration of advanced AI solutions within our product ecosystem. This role involves close collaboration with cross-functional teams including product managers, data scientists, and engineers to build AI models that solve real-world integration challenges. The ideal candidate will have a strong foundation in machine learning, deep learning, and software development, along with hands-on experience deploying AI models in production environments.
What You’ll Be Doing
ü Collaborating with product managers, engineers and data scientists to align AI solutions with product functionalities.
ü Designing and developing AI models for challenges like document data extraction, data transformation, pattern recognition and data mapping
ü Applying machine learning algorithms and deep learning architectures and transformer models to build scalable AI models.
ü Working with data engineers to prepare, clean, and transform data for AI applications.
ü Training, evaluating, optimizing and fine-tuning AI models to ensure high performance and accuracy.
ü Monitoring deployed AI functionalities, troubleshooting issues, and driving continuous improvement.
ü Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs.
ü Keeping abreast of the latest AI research, trends, and innovations relevant to integration technologies.
What You Bring to the Table
ü Bachelor’s degree in computer science, Data Science, Mathematics, Engineering, or a related field.
ü 3+ years of experience in designing and implementing AI/ML solutions.
ü Demonstrated ability to integrate AI models into production software.
ü Excellent analytical thinking, communication, and problem-solving abilities.
ü Ability to work autonomously as well as in a collaborative team setup.
Skills Required
ü Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models.
ü LLM and NLP Experience: Hands-o
ü n experience working with LLMs, RAG architecture, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems.
ü Experience with LLM fine-tuning, prompt engineering, vector databases (e.g., Pinecone, FAISS) is highly desirable.
ü Test Harness Automation for LLM Agents
ü Familiarity with agent frameworks (e.g., Semantic Kernel, AutoGen, Lang Chain, etc.).
ü Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, etc. containerization (Docker), and API frameworks (Flask, Fast API).
ü Integration Knowledge: API development, data transformation, system integration
ü Soft Skills: Communication, teamwork, adaptability, critical thinking
We are looking for A highly skilled Full Stack .NET Developer with strong hands-on experience in C#, .NET Core, ASP.NET Core, Web API, and Microservices Architecture. Proficient in developing scalable and high-performing applications using SQL Server, NoSQL databases, and Entity Framework (v6+). Recognized for excellent troubleshooting, problem-solving, and communication skills, with the ability to collaborate effectively with cross-functional and international teams, including US counterparts.
Responsibilities :
- Full stack system development
- Technical risk assessment and estimation
- Technical investigation/research, assessment, and recommendation
- Providing solutions and preparing proof-of-concept for technical proposals and demonstrations
- Product maintenance and support
Qualifications :
- Bachelors degree in Computer Science, Computer Engineering, or any course related to Information Technology, Engineering and Mathematics
- 3+ years experience in product development
- 3+ years experience in agile product development methodology/process
- 3+ years of Java development experience
- 3+ years experience on SQL / MySQL (Oracle is a plus)
- 3+ years experience on Spring Framework / Spring boot / Spring MVC / Hibernate
- Experience in JUnit
Knowledge in :
- JavaScript /HTML5/ CSS/ JQuery, And JSP / JavaScript Reactive Framework (Vue.js is a huge plus)
- REST Concepts
- VCS - Git
- AWS
- Excellent programming and problem-solving skills
- Good communication skills
- Fast learner, detail-oriented
- Able to work under pressure
- Self-managing and able to collaborate with offsite team members
- Can render extra hours whenever necessary.
We don't blindly chase after the trendiest technologies, but we strive to use the best ones for the job at hand. That means we try to achieve a good balance between proven tech while continuously evaluating and modernizing our stack as new techniques, libraries, and frameworks come out.
Training: After a rigorous training program of up to one month, you'll immediately get to work on one of our projects. We're working on mission-critical government systems or commercial products that are levelling up the way the world does business.
Note :
- Strictly 3+ years of Experience in software development
- Immediate to a month notice
- Should have experience working in Enterprise level applications/ Enterprise software products.
Interview Process :
1. Online exam
2. Technical Panel Interview
3. HR Interview
4. Final Offer / Joining
Hiring Condition: Successful completion of background checking will be required as a condition of hire
Summary about us & the role:
Thrive is a restaurant-first direct ordering platform. Our product touches the lives of restaurant owners, management, kitchen + operations staff and also end consumers.
This role offers an exciting chance for you to build a consumer + merchant experience. And there's a lot of scope to grow and learn at the same time.
Direct ordering is a blue-ocean and we're looking out for innovative designers looking to create brand new experiences contrary to what you see already with food delivery apps.
Role:
- Minimum 2 years of relevant experience
- Should possess strong knowledge of visual design principals along with proficiency with illustrations and icon design
- Proficiency with design tools such as Adobe creative suite, Sketch, Figma and prototyping tools
- Shape the user experience of wireframes by adding or enhancing visual elements considering the principals of aesthetic design.
- Focus on the aesthetics of a product and its related materials by strategically implementing iconography, typography, space, layouts, colour, Illustrations, and in dashboard training gifs/ videos.
- Maintain a design style guide and ensure every feature shipping out into production is compliant with it.
- Work closely with frontend engineers to provide design deliverables such as icons, fonts or any other styling element.
- Work closely with product marketing team on the feature announcement plans, come up with the creative and get them implemented.
Good to have
- Ability to multitask and coordinate between teams.
- Strong attention to detail and strong time management.
-
Basic HTML5, CSS3, and JavaScript skills are a plus.
***Brownie points
- Prior experience with SaaS tools & dashboards
- Prior startup experience
Required Skills:
- .NET Core
- C#
- Web API
- Aware of Microservice concepts
- MongoDB
- Excellent communication
Docker, Kubernetes, and Linux knowledge is desirable. Having worked in a product development environment is desirable. Having worked in the finance and banking domain is desirable.
• Responsible for improving test case coverage and reducing customer found issues
• Ability to see inefficiencies in codes and communicate it to the rest of the team
• Ability to take initiatives and come up with plans to help solve these issues
• Involved in documentation such as planning and time estimation for projects
• Presenting ideas for system improvements, including cost proposals
• Producing detailed specifications and writing the program codes
• The key responsibilities of this person will be to unit test the product for functional, look
and feel of the GUI
• To keep in close loop of quality analysts to troubleshoot issues
Desired Candidate Profile:
• Expertise in core development in C#, ASP.net , ADO.net, Dot Net, .Net Core, Rest
API, Web API
• Expertise in HTML, WPF , WCF , LINQ , OOPS, SQL
• Proficient in Visual Studio 13, Visual Studio 15, and Visual Studio 19
(Note: Experience in maintenance phase of the project(s) will not be considered)
• Proficient in Data Structures, Multithreading, Logic Design and implementation with
regards to UI and backend Knowledge on design patterns
• Ability to work in a rapidly changing environment. Proactive behaviour is must have
• Experience in Active Directory, Group Policy, Windows File Server and SQL is an
advantage
• Experience in JIRA/Confluence is an advantage
• Good communication skills
• Experience with SharePoint Online , Exchange Online , Office365, AWS , GSuite ,
Dropbox , Microsoft
• Must be able to work under pressure and towards deadlines
Job description
Roles and Responsibilities
- Design and build advanced applications for the IOS platform
- Maintain quality and ensure responsiveness of applications.
- Collaborate with the rest of the engineering team to design and launch new features.
- Collaborate with cross-functional teams to define, design & deploy.
- Work with outside data sources and APIs
- Unit-test code for robustness.
- Work on bug fixing and improving application performance
- Maintain code integrity and organization.
Desired Candidate Profile
- 2+ Years should be required in iOS development.
- Should be well aware about iPhone/iPad application development
- Should be well versed with Core data concepts
- Should be well versed with Swift-UI
- Should be well versed with Network load optimisations & other core networking concepts
- Must be very good with designing pixel perfect UI
- Good to have Core Audio, Graphics & video frameworks.
- Good knowledge of app deployment process & good to have knowledge on build automation.
- Should have decent communication skills to be able to interact with Clients.
1. To write on a variety of topics related to education and courses offered by the colleges and institutions in India and educational news and updates etc.
2. Knowledge of writing articles, blog posts, descriptions, page titles etc. for digital media.
3. Create content which gives website readers access to information in a simple, easy to understand language.
4. The content writer should know the target audience and write content to engage and draw visitors.
5. Generate content, making smart use of keywords. The text should have relevant keywords and variations for better search engine ranking and indexing.
6. Creating stories from in-house reports/surveys monthly.
7. Developing new ideas for web content.
8. Work with team members to enhance content pieces.
9. Candidates handled a team will be given preference.
Desired Profile
1. Freshers with impressive writing skills are welcome.
2. As a web content writer, ability to write engaging content for websites.
3. Knowledge in writing content for websites/print/company blogs.
4. Good written and communication skills.
5. Awareness of Search Engine Optimization (SEO), internet marketing trends is a plus.
6. Excellent time management skills.
Personal Traits:
1. Excellent written and oral communication skills.
2. Excellent problem solving skills.
3. Should be excellent in Time Management, Planning Skills & Organizing Skills.
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.











