We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end.
Key Responsibilities
- Model Development & Optimization
- Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection.
- Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques.
- Optimize inference speed and accuracy for real-time video processing on GPUs.
- Video Analytics & Tracking
- Develop multi-camera object-tracking algorithms across disparate video sources.
- Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance.
- Infrastructure & Deployment
- Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN).
- Automate CI/CD pipelines for model training, evaluation, and deployment.
- Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability.
- Collaboration & Documentation
- Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs.
- Write clear technical documentation, API specs, and best-practice guides.
Required Qualifications
- Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
- 2-3+ years hands-on experience with:
- YOLOv8 or YOLOv11 (training, inference, transfer learning)
- Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers)
- Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn
- Strong Linux skills: server provisioning, SSH, shell scripting.
- Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers)
- Experience deploying models in production (AWS/GCP/Azure or on-prem clusters).
Preferred Qualifications
- Familiarity with video-streaming protocols (RTSP/WebRTC).
- Knowledge of microservices architecture and API gateways.
- Exposure to MLOps platforms (MLflow, Kubeflow).
- Strong debugging, profiling, and performance-tuning abilities.

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Work Mode: Hybrid (2 days WFO)
We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment within our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns,regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.
Responsibilities
· Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements
· Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data
· Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development
· Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc
· Unify, enrich, and analyze variety of data to derive insights and opportunities
· Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
· Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform
· Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org
· Mentor other members in the team and organization and contribute to organizations’ growth.
Soft Skills
· Independent and able to manage, prioritize & lead workloads
· Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
· Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills
· 8+ years’ work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
· Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.
· 5 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, Azure Data factory and Azure synapse analytics, Git Integration with Azure DevOps, etc.
· Experience with designing & developing data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Experience with building, testing and enhancing data curation pipelines and integrating data from a wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity
· Experience with maintaining the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensuring high availability of the platform; monitoring workload demands; working with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application
· 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools
Job Description:
We are seeking a skilled Quant Developer with strong programming expertise and an interest in financial markets. You will be responsible for designing, developing, and optimizing trading algorithms, analytics tools, and quantitative models. Prior experience with cryptocurrencies is a plus but not mandatory.
Key Responsibilities:
• Develop and implement high-performance trading algorithms and strategies.
• Collaborate with quantitative researchers to translate models into robust code.
• Optimize trading system performance and latency.
• Maintain and improve existing systems, ensuring reliability and scalability.
• Work with market data, conduct analysis, and support trading operations.
Required Skills:
• Strong proficiency in Python and/or C++.
• Solid understanding of data structures, algorithms, and object-oriented programming.
• Familiarity with financial markets or trading systems (experience in crypto is a bonus).
• Experience with distributed systems, databases, and performance optimization.
• Knowledge of numerical libraries (e.g., NumPy, pandas, Boost) and statistical analysis.
Preferred Qualifications:
• Experience in developing low-latency systems.
• Understanding of quantitative modeling and back testing frameworks.
• Familiarity with trading protocols (FIX, WebSocket, REST APIs).
• Interest or experience in cryptocurrencies and blockchain technologies.
Roles and Responsibilities
1. Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.
2. Ideate, design, and implement program that focused on post-training support for mental health first-aiders.
3. Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).
4. Oversee and facilitate MHFAI instructors for training and upskilling.
5. Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.
6. Draft and initiate scientific research, and create tools required at workplace to measure mental health.
7. Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.
8. Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.
9. Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.
10. Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.
11. Provide support in other operational functions of MHFA as needed.
Requirements:
· 4-10 years in Counselling psychology and / or mental health training
· Qualification: Education in Counselling / Medical Psychology
· Experience in clinical work
· Exposure to mental health training
· Experience of having previously worked in organized group is desirable
Interns day to day responsibilities include:
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- Do frequent checks on existing processes to help the Catalogue team achieve more consistent results with high quality and to own new projects which will aim at achieving high productivity of an individual/team.
- Populate 100% accurate content from various sources (Brand Websites, E commerce Portals, Product info Pages, Seller’s, Consumers, Companies, Subject Matter Experts) for specific as well as general information about the product through various channels (Verbal & Written communication, through on ground activities as well as through various online search techniques).
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Let us know if you are interested. Let’s connect.
Regards,
Vaishali Patanwadiya
ll Recruiter II HR Executive ll
Company Name: Webmull
We are looking for a Business Development Executive, should have good communication skills & IT field ( Website / Mobile App/Digital Marketing ) knowledge.
Responsibilities:
- Good Proposal writing and follow up.
- Maintain relationships with clients.
- Generate new business through online bidding portals.
Requirements:
- Need excellent writing skills.
- Self-motivated and proactive.
- Bright, enthusiastic and eager to learn.
- Competent with IT and social media.










