Fashion Assistant

IoT Developer with expertise in designing, developing, and deploying end-to-end Internet of Things (IoT) solutions. Skilled in integrating embedded devices, sensors, PLCs, gateways, cloud platforms, and web/mobile applications to enable real-time monitoring, automation, and data analytics.

Experienced in working with industrial communication protocols such as MQTT, Modbus RTU/TCP, RS232, RS485, and HTTP/REST APIs. Proficient in developing scalable backend systems, cloud-based IoT platforms, device management solutions, telemetry processing pipelines, dashboards, and alerting systems.

Position: Assistant Professor

Department: CSE / IT

Experience: 0 – 15 Years

Joining: Immediate / Within 1 Month

Salary: As per norms and experience

🎓 Qualification:

ME / M.Tech in Computer Science Engineering / Information Technology

Ph.D. (Preferred but not mandatory)

First Class in UG & PG as per AICTE norms

🔍 Roles & Responsibilities:

Deliver high-quality lectures for UG / PG programs

Prepare lesson plans, course materials, and academic content

Guide student projects and internships

Participate in curriculum development and academic planning

Conduct internal assessments, evaluations, and result analysis

Mentor students for academic and career growth

Participate in departmental research activities

Publish research papers in reputed journals (Scopus/SCI preferred)

Attend Faculty Development Programs (FDPs), workshops, and conferences

Contribute to NAAC / NBA accreditation processes

Support institutional administrative responsibilities

💡 Required Skills:

Strong subject knowledge in CSE / IT domains

Programming proficiency (Python, Java, C++, Data Structures, AI/ML, Cloud, etc.)

Excellent communication and presentation skills

Research orientation and academic enthusiasm

Team collaboration and mentoring ability

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

Responsibilities :-

- Advocating for good user experience across our platform by representing the users in product strategy and roadmap discussions

- Identifying the best UX methods and tools to use, depending on project constraints

- Prototyping solutions to solve complex problems

- Contributing to our growing design system of patterns in an effort to cultivate a cohesive look, feel, and user experience at all customer touch points

- Sharing and reviewing your designs based on peer feedback, research, and testing

Requirements:

- Bachelor/Masters in Design, HCI, Psychology or any other related field

- 6-7 years of experience in designing desktop and/or mobile applications

- Previous experience owning and executing on UX designs through collaborative decision making with front-end developers, engineers, researchers, content strategists, and other disciplines

- A deep understanding of the end-to-end iterative UX process, including personas, scenarios, wire-framing, content modelling, prototyping, user research, and design systems

- Empathy and advocacy for users, in all areas of work

- Experience using prototyping tools, as well as fundamental knowledge of front-end technologies to understand the constraints of the design

- Extraordinary UI design abilities that can be demonstrated through current projects.

- Figma experience is a must

- Hands-on experience with Sketch, Invision, Photoshop (or equivalent softwares) is an added to bonus

-Experience of working in Fintech is a huge bonus

-Experience of working at any consumer app is an added bonus

About the Company:

This opportunity is for an AI Drone Technology startup funded by the Indian Army. It is working to develop cutting-edge products to help the Indian Army gain an edge in New Age Enemy Warfare.

They are working on using drones to neutralize terrorists hidden in deep forests. Get a chance to contribute to secure our borders against the enemy.

Responsibilities:

• Extensive knowledge in machine learning and deep learning techniques
• Solid background in image processing/computer vision
• Experience in building datasets for computer vision tasks
• Experience working with and creating data structures/architectures
• Proficiency in at least one major machine learning framework such as Tensorflow, Pytorch
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Highly skilled in Python scripting language
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills

Educational Qualification:

MS in Engineering, Applied Mathematics, Data Science, Computer Science or equivalent field, with 3 years industry experience, a PhD degree or equivalent industry experience.

• 5+ years of experience in Healthcare domain
• To understand the problem statements which includes Change Requests
• To closely interact with Clients, Design and Development Team Members and Testing team
• Good Communications in English
• Should be familiar to Agile methodologies