Construction Manager Onsite

Strong Software Development & DSA Profile

Mandatory (Experience): Must have 5+ YOE in Software Devleopment (preferably in product-based companies).

Mandatory (Skills 1): Must have strong expertise in scalable systems and applied DSA

Mandatory (Skills 2): Must have strong understanding of System Design (like HLD, LLD, microservices, caching, database scaling)

Mandatory (Exclusion): Don't source from Physicswallah and Scaler (No hire policy)

The Web 3 & Blockchain Innovation Lab plays a pivotal role in leading the lab strategic vision and

operational excellence, fostering a culture of innovation and learning by doing among students.

This individual is responsible for setting the lab strategic direction, managing a team of stream

leaders, and ensuring the lab success in bridging the gap between academia and industry. As a

thought leader and brand ambassador, the Head of the lab promotes the lab focus areas both

internally and externally, embodying the qualities of leadership and innovation that inspire

students and staff alike.

Key Responsibilities:

* Vision and Strategy:

* Develop and communicate a clear vision for the Innovation Labs, aligning with

* the institution strategic objectives.

* Set strategic goals for the lab, including defining key areas of focus, innovation

    strategies, and research priorities.

* Ensure the lab activities contribute to the broader academic and research

   missions of the institution.

Innovation Lab - Industry Interface:

* Build and maintain strong relationships with industry partners, facilitating collaborations that enhance the lab's research and innovation projects.

* Serve as a key liaison between the lab and academic departments, promoting interdisciplinary industry relevant research and learning opportunities.

* Lead initiatives to secure funding, sponsorship, and partnerships that support the lab's activities and growth.

* Brand Ambassador and Thought Leadership:

* Act as a brand ambassador and thought leader, representing the Innovation Labs at conferences, seminars, and public forums.

* Promote the lab's achievements and projects through various channels, enhancing its reputation and visibility.

* Foster a network of alumni, industry leaders, and academic peers to support and engage with the lab's work.

Mentorship and Role Modeling:

* Serve as a mentor and role model for students and mentors, inspiring them to pursue innovation and excellence.

* Encourage the development of leadership skills among lab members, particularly stream leaders and emerging talents.

* Support a learning environment that values diversity, inclusivity, and personal growth.

Skills and Qualifications :

* Advanced degree in a relevant field (e.g., Engineering, Computer Science, Business Administration) or equivalent experience in innovation management.

* Proven leadership experience in managing research or innovation labs, particularly in an academic or similar setting.

* Deep technical expertise in multiple blockchain platforms, smart contracts, DeFi & dApps, Web 3 libraries/frameworks and cryptography. Should be able to demonstrate a deep understanding of the benefits decentralization.

* Strong strategic thinking and planning skills, with the ability to translate vision into actionable plans.

* Excellent relationship-building skills, with experience in academia-industry partnerships.

* Demonstrated success in securing funding, sponsorships, or partnerships.

* Exceptional communication and public speaking skills, capable of engaging a wide range of audiences.

* Deep understanding of the latest trends and technologies in areas relevant to the lab's focus..

Job Description:

Look for candidates who are preferably immediate joiners and have stability in career

Skills - DS Algorithms, Oops Concept,

Job Brief-

·       Understand product requirements and come up with solution approaches

·       Build and enhance large scale domain centric applications

·       Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines

Key Responsibilities:

Business Leadership:

Develop a clear vision and strategic plan for the dietetic department, aligning it with the overall vision and objectives.

Lead the team in implementing goals, strategies, and initiatives that focus on providing exceptional diet & wellness services.

Clinical Expertise:

Utilize advanced knowledge and expertise in nutrition and dietetics to assess patients' nutritional needs, interpret diagnostic results, and create tailored diet plans.

Counselling to educate clients/ patients on appropriate diets and regular health test to enhance and maintain optimum health. Monitor and review the progress of client/patients

after every meeting. Guide client/patient on regular basis and record behavioral /dietary/activity deviations with endorsement from time to time.

Team Management:

Lead and manage the dietetic team, providing guidance, mentorship, and professional development opportunities.

Foster a collaborative and positive work environment that encourages growth and ensures each team member's contribution is valued.

Collaboration with Healthcare Professionals:

Work closely with other healthcare professionals, including Clinicians, and other healthcare specialist. Collaborate in the diagnosis and treatment planning process, integrating diet & wellness services seamlessly with other medical interventions.

Quality Assurance and Compliance:

Establish and maintain rigorous quality assurance standards for all dietetic services. Ensure that the department adheres to relevant regulations, ethical guidelines, and company standards to provide accurate and reliable services.

Customer Service & Engagement:

Represent the significance of diet & wellness. Participate in public events, seminars, and camps to raise awareness about the role of die & wellness in overall well-being.

Ensure patients and clients receive compassionate, empathetic, and respectful care. Implement strategies to enhance the customer experience and maintain a high level of satisfaction.

Ensure customer satisfaction and feedback ratings to be achieved as per given standards.

Data Analysis and Reporting:

Oversee the collection and analysis of data related to diet & wellness outcomes and department performance.

Prepare reports and present findings to inform decision-making and demonstrate the impact of the dietetic department's interventions.

- This job description provides a general outline of responsibilities and qualifications and is not exhaustive. The Dietitian may be required to perform additional duties as necessary for the smooth functioning of the business.

Requirements:

- Bachelor's or Master's degree in Nutrition, Dietetics, or a related field.

- Registered Dietitian (RD) or equivalent certification.

- Proven experience in a leadership or managerial role within a dietetic department.

- Strong clinical knowledge and expertise in nutrition assessment and intervention.

- Excellent communication, interpersonal, and organizational skills.

- Ability to work collaboratively in a multidisciplinary healthcare environment

Your Responsibilities:

• Responsible for overall tech stack of the product
• Designing overall architecture of the web/ mobile application
• Maintain quality and ensure responsiveness of applications
• Exposure to security and data protection management
• Building modular, reusable codes and libraries
• Ability to build product from scratch & drive it to completion
• Optimize applications for best user experience
• Development experience for both mobile and web based products.
• Unit Testing of developed modules

Skills:

Front-End

• Web fundamentals like HTML, JavaScript, and CSS
• CSS preprocessors like Sass, LESS, bootstrap
• JavaScript frameworks like React js, AngularJS, or Ember etc.
• Libraries like jQuery or Backbone.js
• Front-end (CSS) frameworks like Foundation or Bootstrap
• Web sockets

Back-End

• Rest API design and development
• CRUD (Create, Read, Update, Delete)
• RESTful Services
• Web fundamentals like React js, HTML, JavaScript, and CSS
• Server-side languages like Javascript, PHP, Python
• Database technologies like MySQL and MongoDB.
• Web server technologies like Node.js, Nginx, ISS, etc.

• Develop optimization strategies that increase the companys search engine results rankings.
• Research SEO keywords to use throughout the companys website and marketing materials.
• Set measurable goals that demonstrate improvement in marketing efforts.
• Monitor daily performance metrics to understand SEO strategy performance.
• Efficiently communicate with other marketing professionals to align goals.
• Collaborate with others within the marketing department to manage SEO strategy.
• Write compelling and high-quality website content, including blog posts and page descriptions.
• Update content and website links for maximum optimization and search engine rankings.

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred