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Desired Technical Skillset:
MERN stack, ReactJS, NodeJS, PostgreSQL, Microservices
Total Work Experience: 3-5 Year
Expectations from the candidate:
• Excellent knowledge of front-end frameworks like ReactJS
• Experience with popular React.js workflows
• Experience with development on NodeJS
• Experience with development on PostgreSQL
• Experience working with server-client architectures, consuming JSON data from API’s
• Curiosity and a highly collaborative work style, a wish to share what you already know and jumping at the opportunity to dive into new technology.
• Collaborate with cross-functional teams to define, design, and ship new features
• Lead or participate in design reviews, code reviews and architecture evolution discussions
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency
osition: Team *Leader
Shift Timing: 10 AM to 7PM
Monday to Saturday (Remote)
Company: JNJ Technologies & Services LLP - https://www.jnjservices.co.in
Location: Vijayawada, Andra Pradesh
Language: English & Hindi
Salary: according to your previous experience and market standards
We are looking for a result-driven Team Leader to be responsible for monitoring and
supervising a team of consultants to achieve the organization’s objectives and increase
sales. You will be responsible for providing guidance, instruction, training, and leadership
skills to inspire the team to perform at their optimum. You should create a cohesive team
that works efficiently together to maximize the sales team's potential.
Requirements:
• A bachelor's or associate's degree in marketing, sales, or a related field may be
advantageous.
• Experience in sales is necessary.
• Strong sales ability, business acumen, and commercial awarenes
Company Description:
KGiSL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGiSL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.
Job Summary:
The Associate Professor in the Department of Computer Science & Engineering will be responsible for teaching undergraduate and postgraduate courses, guiding research, contributing to academic administration, and fostering innovation in the field. The role demands a strong commitment to academic excellence, research contributions, and mentorship of students, in line with the vision and mission of the university.
Key Responsibilities:
1. Teaching & Learning:
Deliver high-quality lectures and laboratory sessions in core and advanced areas of Computer Science & Engineering.
Prepare lesson plans, teaching materials, and assessment tools as per the approved curriculum.
Adopt innovative teaching methodologies, including ICT-enabled learning and outcome-based education (OBE).
2. Research & Publications:
Conduct independent and collaborative research in areas of specialization.
Publish research papers in peer-reviewed journals and present in reputed conferences.
Apply for funded research projects from national/international agencies.
3. Student Mentorship & Guidance:
Supervise B.Tech, M.Tech, and Ph.D. dissertations/projects.
Mentor students for academic, career, and personal development.
Guide students in participating in hackathons, coding competitions, and innovation challenges.
4. Curriculum Development:
Contribute to syllabus design and revision as per industry needs and latest technological trends.
Ensure alignment with AICTE/UGC/NAAC/NBA accreditation requirements.
5. Administrative & Institutional Responsibilities:
Participate in departmental and institutional committees.
Assist in organizing seminars, workshops, FDPs, and conferences.
Contribute to accreditation, quality assurance, and academic audits.
6. Professional Development:
Keep abreast with emerging trends in CSE and higher education pedagogy.
Engage in continuous learning through FDPs, MOOCs, and industry collaborations.
Eligibility & Qualifications (As per AICTE/UGC Norms)
Educational Qualification: Ph.D. in Computer Science & Engineering
Experience: Minimum of 8 years teaching/research/industry experience, with at least 6 years at the level of Assistant Professor.
Research: Minimum of 7 publications in refereed journals as per UGC-CARE list and at least one Ph.D. degree awarded or ongoing under supervision.
Other Requirements:
Good academic record throughout.
Proven ability to attract research funding.
Strong communication and interpersonal skills.
Work Location: [KGiSL Educational Institution]
Employment Type: Full-time
Remuneration: As per university norms and AICTE/UGC pay scales (7th CPC).
Job Type: Full-time
Pay: ₹65,000.00 - ₹80,000.00 per month
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person
2. Design software and make technology choices across the stack (from data storage to application to front-end)
3. Understand a range of tier-1 systems/services that power our product to make scalable changes to critical path code
4. Own the design and delivery of an integral piece of a tier-1 system or application
5. Work closely with product managers, UX designers, and end users and integrate software components into a fully functional system
6. Work on the management and execution of project plans and delivery commitments
7. Take ownership of product/feature end-to-end for all phases from the development to the production
8. Ensure the developed features are scalable and highly available with no quality concerns
9. Work closely with senior engineers for refining and implementation
10. Manage and execute project plans and delivery commitments
11. Create and execute appropriate quality plans, project plans, test strategies, and processes for development activities in concert with business and project management efforts
-
Mandatory experience in the Lending/ Digital Lending domain.
Roles/Responsibilities:- Own Architecture and Design for one or more verticals end to end
- Work with stakeholders (Product teams, Partners, UI/UX teams & Vendors) to create exemplary architecture for large-scale, large-volume consumer-facing applications
- Ability to do POCs by writing code involving both front-end (UI – Web, Mobile Apps) and back-end services.
- Ability to work in ambiguous environments
- Be on top of emerging technology and make recommendations to future-proof products and solutions
- Ensure that systems are architected to be secure and resilient through the practical application of security and Business Continuity principles
- Lead the definition and validation of architectural principles and standards.
Functional / Technical Skills:
- In-depth architectural, design and leadership skills.
- Extensive experience with enterprise architecture best practices
- Experience working in an Agile / Scrum team environment
- Excellent written and verbal communication skills
- Strong problem-solving skills.
- Optimizing components for maximum performance across a vast array of web-capable devices and browsers
- Ability to understand business requirements and translate them into technical requirements
- You will ensure that these components and the overall application are robust and easy to maintain.
- Have a good understanding of design and user experience principles.
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment
- Ensuring technologies are used efficiently, profitably, and securely. Evaluating and implementing new systems and infrastructure.
- Excellent troubleshooting, analytical and problem-solving abilities with a tenacious commitment to finding the root cause of issues.
Qualifications :
- B. Tech/ B.E. /M. Tech/ BCA / MCA or a related technical discipline from reputed universities
Skills Required :
- Minimum 1+ years of experience in REST API development using python.
- Must have experience with anyone popular python frameworks like Django, Flask, and FastAPI Framework.
- Experience in designing and developing Restful Web services and Remote procedure calls.
- Able to integrate multiple data sources and databases into one system
- Knowledge of load testing and optimizing code for performance, security, and scalability
- Experience with Unit testing frameworks in Python
- Knowledge of modern authorization & authentication mechanisms.
- Able to create database schemes that represent and support business processes
- Knowledge of Version Control System & basics of CI/CD
- Write and maintain technical documentation
- Solid foundation in OOPS, Data structures, and Algorithms
- Knowledge of SDLC phases of project development.
- Experience in one or more No SQL Databases such as MongoDB, and Cassandra.
- Experience with event-based databases and programming
- Good experience in synchronous programming and thread-based programming.
- Experience with schedulers.
- Good to have knowledge of Linux shell commands.
- Good to have experience in Kubernetes & Docker
- Knowledge of any Cloud Service like GCP or AWS would be an added advantage
- Cares deeply about writing Quality, Testable & Modular code
- Good to have an understanding of NLP.
- 2-5 experience of working with SPA
- Highly skilled at front-end engineering using Object-Oriented JavaScript (ES5, ES6), various JavaScript libraries and frameworks (ReactJS), HTML and CSS
- Experience with Asynchronous and Futures (Promises) Design Patterns
- Proficient understanding of code versioning tools, such as Git
- Experience in developing Large-scale, Single-Page Applications (SPAs) and Unit Testing
- Good understanding of browser rendering behavior and performance
- Proficient understanding of cross-browser compatibility issues and ways to work around such issues
Good to have: Optional
- Working with Secure APIs using JWT/OAUTH
-
Creating a WordPress plugin with WordPress coding standard and themes, contributed plugins over wordpress.org is a big plus.
-
Knowledge of how to interact with RESTful APIs and formats (JSON, XML).
-
Proficient understanding of code versioning tools such as Git, Mercurial.
-
Strong Knowledge in Woo commerce, Yost SEO, ACF.
-
Strong understanding of PHP back-end development.
- Must have knowledge in Angular or React frontend and Node JS
- Write reusable, testable, efficient code
- Knowledge of creating front-end applications using HTML5, CSS, and Javascript.
- Candidates should have Knowledge of recent Angular versions and should be comfortable working independently.
- Should have working experience with database modeling, ability to plan DB schema and write queries with ease(MongoDB, MYSQL, Redis)
- Implementation of security and data protection
- Comfortable working with Git/Github
- Ability and willingness to manage multiple projects and tasks.
empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.
• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership
The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions
• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials









