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Responsibilities

• Lead and manage a talented Engineering Team of 8+ members.
• Provide technical guidance and mentorship to team members and assist them in their career progression. Set OKRs, progress checks and do performance evaluations.
• Manage the development pipeline to deliver features on schedule while maintaining high bar for quality.
• Closely Interact with other functions such as PM, Design, UI/UX, Art, QA, and deliver planned features.
• Perform Design reviews, Code reviews
• Create a solid Tech backlog that involves modernizing tech stack, set goals for performance improvements.

Requirements

• Masters or Bachelor's Degree in Computer Science, Engineering or equivalent.
• Should have 8+ years of professional experience in mobile, development using C++, C#, PYTHON, GO Lang, Javascript.
• Should have 2+ years of experience in managing teams, including hiring, mentoring and building strong teams.
• Shown ability to motivate teams and operate effectively in a fast-paced, high-energy environment.

Desired Skills and Experience NET, C++, Golang, Java, JavaScript, Python, Quality Assurance, C#

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

Requirements:

• BS/MS in Computer Science or equivalent from a premier institute.
• 10+ years of strong design/development experience in building massively large scale distributed internet systems and products.
• 6+ years' experience leading engineering teams (including a combination of experience hiring, mentoring, managing performance, and providing technical leadership and design guidance).
• Excellent computer fundamentals and problem solving skills
• Excellent data structures & algorithms skills.
• Experience and knowledge of open source software, frameworks and broader cutting edge technologies around server side development in Java and Big Data.
• Superior organization, communication, interpersonal and leadership skills.
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace.
• Must be a self-starter who can work well with minimal guidance and in fluid environment.
• Provide good attention to details.
• Must be excited by challenges surrounding the development of massively scalable & distributed system.
• Agility and ability to adapt quickly to changing requirements and scope and priorities.

About 6sense : The 6sense Account Engagement Platform helps B2B organizations achieve predictable revenue growth by putting the power of AI, big data, and machine learning behind every member of the revenue team.

https://hub.6sense.com/welcome/6sense-funding-announcement">In one of the latest news,6sense Raises $125 Million in Series D Funding, Increases Valuation to $2.1 Billion https://hub.6sense.com/welcome/6sense-funding-announcement.

In the other news,6sense was named one of https://twitter.com/Inc">@Inc's Best Workplaces for the third year in a row.

As an Engineering Manager at 6sense ,you will have the opportunity to-

• Recruit and retain top-tier software engineering talent. 
• You will nurture an atmosphere of continuous improvement by serving as a coach, mentor, and technical advisor, while planning and supporting career development  
• You will diagnose and resolve systemic obstacles that prevent your team from delivering high-quality software. 
• You will meet 1-1 with team members on a regular basis.
• Recruit and retain top-tier software engineering talent 
• Work cross functionally with other Engineering Managers to strategize and execute on crucial business objectives along with managing upstream and downstream dependencies 
• Work with the Product Managers on project planning and roadmap 
• Apply distributed computing and map-reduce knowledge to compute, dedupe, and derive insights from billions of records daily 
• Intellectually contribute to the software, data, process, and growth of other team members 
• Participate in writing applicable patents for your ground-breaking work 
• Promote and set examples for high code quality like unit testing, good variable naming, modularity, etc. 
• Own products/features at multiple levels: code, data, metrics, reduction of support frequency, etc. 
• Ensure new features are properly tested at scale prior to release 

Required qualifications and must have skills 

• 5+ years of experience managing a team of 5+ engineers 
• 10+ years of experience in delivering software 
• BS / MS in Software Engineering or an equivalent degree 
• Experience leading by influence in multi-team, cross-functional projects 

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
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.

• Create architectural designs based on product/design requirement and implement critical high performance,large scale services and libraries Participate in the design and implementation of next generation systems.
• Control projects from start to finish - deliverables to ensure high quality, innovative and functional design.
• Adhere to all industry standards in code and architectural designs and evangelize best practices in library.
• Collaborating with other professionals to determine functional and non-functional requirements for the product development.
• Provide constructive feedback on design and product reviews.
• Collaborate with Leads/Engineers for continuous improvement of the code quality by code review and help engineers write better code.
• Lead cross-functional initiatives working with bright engineers across organization.
• Lead engineering efforts from rapid prototypes to large-scale applications using variety of languages and tools/technology stacks.