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Position Description:
Amity University, Patna campus invites applications for a tenure-track Assistant Professor position in the Department of Computer Science. The successful candidate will demonstrate a strong commitment to teaching, research, and service in the field of computer science.
Responsibilities:
- Teach undergraduate and graduate courses in computer science, with a focus on [insert areas of specialization or interest, e.g., artificial intelligence, machine learning, software engineering, etc.].
- Develop and deliver innovative curriculum that incorporates industry best practices and emerging technologies.
- Advise and mentor undergraduate and graduate students in academic and career development.
- Conduct high-quality research leading to publications in peer-reviewed journals and presentations at conferences.
- Seek external funding to support research activities and contribute to the growth of the department.
- Participate in departmental and institutional service activities, including committee work, academic advising, and community outreach.
- Contribute to the collegial and collaborative atmosphere of the department through active engagement with colleagues and participation in departmental events and initiatives.
Qualifications:
- A Ph.D. in Computer Science or atleast Thesis submitted
- Evidence of excellence in teaching at the undergraduate and/or graduate level.
- A strong record of research productivity, including publications in reputable journals and conferences.
- Demonstrated expertise in [insert areas of specialization].
- Ability to effectively communicate complex concepts to diverse audiences.
- Commitment to fostering an inclusive and equitable learning environment.
- Strong interpersonal skills and the ability to work collaboratively with students, faculty, and staff.
- Potential for leadership and contribution to the academic community.
Preferred Qualifications:
- Experience securing external research funding.
- Experience supervising undergraduate or graduate research projects.
- Experience with curriculum development and assessment.
- Experience with industry collaboration or technology transfer initiatives.
Application Process:
Interested candidates should submit a cover letter, curriculum vitae, statement of teaching philosophy, statement of research interests, evidence of teaching effectiveness (e.g., teaching evaluations), and contact information for three professional references. Review of applications will begin immediately and continue until the position is filled.

Job Summary:
We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.
Responsibilities:
AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
- Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.
Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
- Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.
AI Model Development:
- Lead the development and deployment of AI and machine learning models.
- Implement best practices for model training, testing, and validation.
- Monitor and optimize model performance to ensure accuracy and efficiency.
Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
- Ensure that microservices are designed for scalability, flexibility, and resilience.
- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
- Implement proactive alerting and reporting mechanisms to identify and address issues promptly.
Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
- Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
- Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
- Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
- Excellent communication and interpersonal skills.
- Ability to lead cross-functional teams and drive innovation.
- Strong problem-solving and critical-thinking abilities.
- Knowledge of regulatory requirements and data privacy standards related to AI and microservices.
Preferred Qualifications:
- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
- Previous experience with enterprise architecture frameworks (e.g., TOGAF).
This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.



Job Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.




- You solve problems at their root, stepping back to understand the broader context.
- You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
- You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
- You recognize and use design patterns to solve business problems.
- You understand how operating systems work, perform and scale.
- You continually align your work with Amazon’s business objectives and seek to deliver business value.
- You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
- You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
- You communicate clearly with your team and with other groups and listen effectively.


Responsibilities
- Translate designs and wireframes into high quality code
- Design, build, and maintain high performance, reusable, and reliable Java code
- Ensure the best possible performance, quality, and responsiveness of the application
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organization, and automatization
Skills
- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
- Familiarity with RESTful APIs to connect Android applications to back-end services
- Strong knowledge of Android UI design principles, patterns, and best practices
- Experience with offline storage, threading, and performance tuning
- Ability to design applications around natural user interfaces, such as “touch”
- Knowledge of the open-source Android ecosystem and the libraries available for common
tasks
- Ability to understand business requirements and translate them into technical requirements
- Familiarity with cloud message APIs and push notifications
- A knack for benchmarking and optimization
- Understanding of Google’s Android design principles and interface guidelines
- Proficient understanding of code versioning tools, such as Git





MINIMUM QUALIFICATIONS, Roles and responsibilties:
- BS/MS in Computer Engineering or related technology field
- 10+ Years of Experience in Software Development
- Experience in writing code for embedded systems, Proficient in C/C++ coding and intel DPDK
- Understanding of network interface drivers
- Experience with VMware, AWS, MSAzure, Google Cloud Platform.
- Knowledge of micro services and containerization
- Experience in building Networking Security Products
- Knowledge of Networking, TCP/IP Protocol Suite
- Design, code embedded features/solutions for the ShieldX Product
- Design write, extend and troubleshoot datapath code for switching, routing, NAT, TCP and TLS
- Work closely with other development , Product and Test Teams
- BS/MS in Computer Engineering or related technology field
- Excellent communication and Team player skills
- Should be a self-starter and be able to adopt to dynamic fast-paced environment.
- Able to work 40 hours a week








