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:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
- Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.
Requirements
- 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.
- 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.
- Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
- Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
- Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
- Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
- 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!
Subodh Popalwar
Software Engineer, Memorres
About Zevo software labs pvt ltd
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RESPONSIBILITIES:
• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.
• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.
• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.
• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.
• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.
• You’ll be reporting directly to the head of the engineering and will be
instrumental in discussing and explaining the progress to top management and other stake holders.
• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.
REQUIREMENTS:
• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems
• Stay updated with latest research in machine learning esp. recommender systems and audio signals
• Have taken scalable ML services to production, maintained and managed their lifecycle
• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models
Minimum Qualifications
• 13+ years of industry experience doing applied machine learning
• 5+ years of experience in tech team management
• Fluent in one or more object oriented languages like Python, C++, Java
• Knowledgeable about core CS concepts such as common data structures an algorithms
• Comfortable conducting design and code reviews
• Comfortable in formalising a product or business problem as a ML problem
• Master’s or PhD degree in Computer Science, Mathematics or related field
• Industry experience with large scale recommendation and ranking systems
• Experience in managing team of 10-15 engineers
• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow
About the Role
Hey there! Are you a mastermind looking for your next big challenge? If so, we want you to join our team as our VP of Engineering! We're looking for someone who's driven, experienced, and ready to lead the charge for our tech products and solutions. As the VP, you will manage a team of developers, identify new technologies and implement them to drive business results.
But it's not all about tech - you'll also be working closely with our core team to make sure we're meeting the needs of the market. Basically, you'll be a jack-of-all-trades when it comes to our tech and make sure we're always ahead of the game. So, if you're ready to take your career to the next level and make a real impact, hit us up!
We can't wait to see what you bring to the table.
What You'll Do
• Lead the development team and ensure projects are completed smoothly and on schedule
• Stay ahead of the game by finding and using new technologies to boost the business
• Work hand in hand with the core team to figure out their needs and keep our products on point with the market trends
• Keep our products high-quality, scalable, and secure
Develop and maintain a detailed project plan to track progress and ensure that projects are completed on time and within budget
• Brainstorm and plan the company's tech strategy with the CTO and other important leaders
• Keep up to date with the latest tech trends and find new growth opportunities
• Give the development team technical guidance and be a mentor to them
What You'll Bring
• Bachelor's or Master's degree in Computer Science, Software Engineering or a related field
• A 8+ years of experience leading software development teams, with a track record of delivering complex products
• Technical know-how and experience with the latest software development tech
• Proven experience in identifying and implementing new technologies to drive business results
• Experience handling the challenges and taking advantage of the opportunities that come with working in a startup environment
• Ace leadership, communication, and teamwork skills
• Self-starter with loads of drive and a desire to make things happen
What we would also love to see
• Understand the mobile development landscape especially Android and iOS
• Hands-On experience with API based development
- SAAS
- Enterprise
- fintech
- Payments
- Healthcare
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Provide organization-wide leadership, direction, and execution strategy including taking Nova-wide engineering initiatives.
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Design, experiment, and implement processes to increase the overall productivity.
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Provide technical expertise and leadership wherever required throughout product life cycles, influence / evangelize best engineering practices
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Liason with Product Leader and influence right product strategies
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Work closely with cross-functional teams, customer success/operations leadership team, and a team of product managers
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Own an engineering team of 25 plus
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Take care of their career progression working with their PMs
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Provide continuous feedback, training and make sure team is working on their full potential at all time to ensure your team delivers best in class products and solutions
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Review the architecture/design of a product/module/feature and provide feedback
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Architect, design and/or hands-on code the critical portion of a product/module/feature
-
Mentor the tech-leads on architecting the product to deliver on-time
-
Be hands-on in technical architecture and reviews
-
Building early-stage tech products
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Strong tech background of working in a product Nova
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Mentoring young engineering team
-
Identifying right engineering practices
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Taking decisions on build Vs buy strategies
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Take decisions related to data, infrastructure, and right tech stacks that fit Nova's roadmap and priorities
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Understanding of various backend and frontend technologies and its core concepts
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Ability to understand the business problems and solve them with innovative tech solutions
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Very strong analytical and problem-solving skills in a super changing environment
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Minimum 8 years of quality experience.
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5 years of hands-on experience in building large-scale systems. A proven performance track record and a team player with high energy,
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A good business sense and deep empathy towards user needs and able to envision solutions for a B2B SAAS product.
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Agility and ability to adapt quickly to changing requirements and scope and priorities.
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An enthusiastic leader who has unlimited energy to influence and daring to take initiatives and risks.
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Excellent communication, leadership, and presentation skills
-
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Amagi is a SaaS platform that lets every content owner deliver their content to consumers anytime, anywhere, to any device. Amagi helps bring entertainment to hundreds of millions of consumers leading the transformation in media consumption. We believe in a connected ecosystem bringing content owners, distribution platforms, consumers and advertisers together to create great experiences.
Amagi grew by 136% last year and is on its way to double itself again this year. The market leader in FAST (Free Ad-supported Streaming TV), it delivers more than 500 media brands to 1500+ end points and is growing exponentially.
At Amagi, our CRM Platform is key to our continued growth. The success of our sales, marketing and customer onboarding teams is dependent on the success of our Salesforce CRM platform setup and its ability to provide scalable, reliable and intuitive experiences to our customers, partners and internal stakeholders.
We are looking for an Engineering Manager to help us lead the efforts of building our billing platform and related process automation solutions. The ideal candidate would be responsible for the successful delivery of a scalable and flexible billing platform and workflows related to accounts receivable and accounts payable.
Role reporting into: Engineering Director - Enterprise Platforms
Individuals reporting into this role: Architect, Staff Software Engineer, Software Tech Lead
Location: Bangalore, India
Key responsibilities include (but are not limited to):
- Lead the core Engineering activities in an Agile model
- Participate in the overall design and development discussions
- Work closely with the Product Management team to establish product and engineering roadmaps.
- Provide architectural and technical guidance to the team and ensure they follow sound engineering practices
- Demonstrate accountability towards intended business outcomes, by working with product management and other functional teams.
- Evaluating Salesforce Standard vs Custom solutions and guide the team.
- Lead the Salesforce implementation related to marketing, sales and order management processes.
Person Specification:
- 10+ years of overall SDLC experience with 6+ years of experience in Salesforce development and architecture
- Implementation experience with Sales Cloud, Service Cloud, Marketing Cloud and/or Revenue Cloud.
- Hands-on with experience with Apex, Lightning web component and REST API programmatic solutions.
- Strong command of Salesforce best practices
- Strong web development skills (JavaScript, HTML, CSS).
- Experience developing the usage/subscription based billing for SaaS products.
- Salesforce certifications
- Strong in CS fundamentals (object oriented analysis, data structures, algorithms)
- Knowledge of Finance & Operations concepts
- Salesforce integration experience with NetSuite, Jira etc.
Job Location: Chennai
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.
Job brief:
We are looking for a director of engineering to lead our engineering department and help us build great products.
You’ll manage our infrastructure and ensure all internal systems operate securely and effectively.
To be successful in this role, you should be confident in managing our teams while, at the same time, setting goals and timelines for various projects.
We also expect you to be in charge of our integrations with external partners and oversee all software development plans from ideation to execution.
Ultimately, you’ll make sure we use innovative technologies that maximize our productivity and help our company grow.
Responsibilities:
• 50% time for hands-on development and other 50% to enable the Engineering team
• Oversee front-end and back-end development teams and their projects
• Leverage your technical depth as a hands-on developer and architect to push your team towards a high standard of technical excellence
• Lead a culture of innovation and experimentation, support full software development lifecycle that incorporates the best of technology approaches and delivery methodologies.
• Monitor reliability and performance of all internal systems to suggest improvements
• Ensure compliance with security regulations
• Manage software development projects by setting requirements, goals, and timelines
• Design strategies for future development projects based on the company’s overall objectives and resources
• Hire engineers and coordinate their training
• Implement innovative technologies
• Coordinate with external stakeholders for new integrations and tools
• Review and update policies relevant to internal systems
• Take initiative to explore, evangelize, and implement innovative technologies within the business in order to improve the business’s internal platforms as well as customer experience.
• Provide support and leadership to development departments, facilitating continuous evolution in both the frontend and backend development teams.
• The Director of Engineering will also perform similar duties as he deems fit for the proper execution of his duties as delegated by the CEO.
Requirements:
• Work experience as a director of engineering, Head of engineering, CTO, EngineeringManager or in a similar senior-level position at an engineering department
• Proven experience in building high-performance teams and scalable best-practices in an engineering organization
• Strong technical aptitude and proven experience in architecture, design, and delivery of data-intensive applications
• Hands-on experience in back-end and front-end development
• Good understanding of agile methodologies
• Leadership abilities with a strategic mind
|
● 4+ Years of Experience ● Proficiency in NodeJS / ReactJS /Java ● Take ownership of projects in AGILE methodologies. ● Must have good understanding of current and future trends and practices in Technology and able to demonstrate true results in affecting business outcomes and must be an innovative leader. ● Ability to drive technology evaluations and provide direction to tea ● Ready to dive deep into code and provides engineering solutions in line with industry standards. ● Demonstrated experience and understanding of the Project and Software Development Life-cycles. Lead and manage multiple teams engaged in development of projects ● Handling a team with various management responsibilities that include resource management, reviewing, assessing, and managing quality of work, leading projects, developing a technology strategy, and managing business relationships. ● Tier I colleges would be preferrable |
• 8 - 15 years of experience building Full Stack applications with a focus on performance and low latency
• 2 - 5 years of experience building React and/or Mobile Applications. Some exposure is a plus but not
mandatory.
• 5 - 8 years working with microservices, API servers, databases, cloud-native development, observability,
alerting and monitoring
• Deep exposure to cloud services, preferably Azure
• Preferably worked in the Retail domain or other similar domains with complex business requirements
• Contributed to & actively maintained one or more open-source projects
• Blogging on performance or related topics
• Speaking engagements at Meetups or Conferences.
Core Skills:
• Strong understanding of Operating Systems, Database,s and Networking fundamentals
• Good understanding of RESTful APIs, GraphQL, and Web Sockets
• Exposure to the Frontend side of the world on Web and Mobile
• Strong understanding of Distributed Systems, Fault Tolerance, and Resiliency. Exposure to setting up and
managing Chaos is a plus
• Exposure to Domain Driven Design (DDD), SOLID principles, and Data Modelling on various RDBMS, NoSQL
databases
• Exposure to building high-performance APIs with the ability to isolate problems in different parts of the
request/response journey
• Good understanding of CNCF projects with a specific focus on Observability, Monitoring, Tracing, Sidecars,
Kubernetes
• Participate in architecture reviews to identify potential issues, and bottlenecks and provide early guidance
• Deep knowledge of at least 2 different programming languages and runtimes. Any two of JavaScript, Ruby,
Python, Swift, Go, Rust, C#, Dart, Kotlin, Java, Haskell, OCaml
• Excellent verbal and written communication
• A mindset to constantly learn new things and challenge the Status Quo
• Hands-on skills combined with leadership qualities to guide teams
-A responsible and passionate professional who has will power to drive the product goals and ensure the outcomes expected from the team.
- He / She should have a strong desire and eagerness to learn new and emerging technologies.
- Skills Required :
- Python/Node JS/Django Rest Framework,
- Database Structure
-Cloud-Ops - AWS / Azure
Roles & responsibilities :-
- Developer responsibilities include writing and testing code, debugging programs
- Design and implementation of REST API
- Build, release, and manage the configuration of all production systems
- Manage a continuous integration and deployment methodology for server-based technologies
- Identify customer problems and create functional prototypes offering a solution
If you are willing to take up challenges and contribute in developing world class products, - this is the place for you.
About FarmMobi :
A trusted enterprise software product company in AgTech space started with a mission to revolutionize the Global agriculture sector.
We operate on software as a service model (SASS) and cater to the needs of global customers in the field of Agriculture.
The idea is to use emerging technologies like Mobility, IOT, Drones, Satellite imagery, Blockchain etc. to digitally transform the agriculture landscape.
Domains: Consumer, planning, Supply Chain, Logistics
Your experience would have to completely be in product based companies and startups, and NOT service companies. Salaries are flexible.
- Experience with object-oriented design and languages
- Track record of building and delivering mission critical, 24x7 production software systems
- Experience architecting systems on AWS platform a strong plus
- Be able to deal with ambiguity and independently drive, design, and implement large scale software solution
- Proven track record of taking ownership and driving results on technical projects
- Ability to handle multiple competing priorities in a fast-paced environment
- Technical aptitude to quickly grasp complex technical issues and communicate directly with technical teams
- Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations
Responsibilities
- Develop and execute a long-term product roadmap and architecture while balancing short term commitments
- Handling the entire SDLC.
- Own the architecture SCOT product platforms to drive business results.
- Be a visible leader to drive and own the architecture and design of some of the most advanced & complex software systems / products in the industry to create company wide impact
- Be an operational and technical leader with a passion for distributed systems, cloud service development, deployment and delivery. Accountable for solutioning, design, architecture, for the ease of evolution, quality of the systems, performance, scalability, availability characteristics, NFRs and limitations of the systems. Should be willing to be hands-on and spend time actively developing parts of the systems.
- Envision and develop the long-term architectural direction, with emphasis on platforms/ reusable components while adopting a nimble delivery process.
- Establish structures and processes that ensure a high level of quality and reliability and extensibility of deliverables .
- Drive the creation of next generation extensible web, mobile and fashion commerce platforms, security protocols, customisation and tools to support continuous scaling, internationalisation and platform extensions.
- Drives code and design reviews of components / systems / products in scope and drives the architectural governance for them
- Set directional paths for the department for adoption of new technology stacks for solving business problems
- Work with product management, business stakeholders and other engineering leaders to help define mid-term, long-term roadmaps and shape business directions
- Initiate and deliver leadership training within the engineering organisation and drive the growth of leaders to create a strong leadership bench.
- Follow coding standards, unit-testing, code reviews etc.
- Follow release cycles and commitment to deadlines.
- Lead by example through innovation.
- Build and nurture a team of software developers
- Shape team goals by developing a deep understanding of our business processes and success criteria
- Develop and execute a long-term architecture while balancing short term commitments
- Work closely with the team to architect and develop the best technical design and approach to solve complex problems
- Effectively partner with engineering and non-engineering groups across the organization to deliver on own goals
- Work closely to architect and develop the best technical design and approach to solve complex problems.
- Take the accountability of the overall health of the products you build, and predictability of the deliverables
- Effectively partner with engineering, product and business stakeholders across the organization to co-define and deliver on goals.
Follow CutshortSubodh Popalwar
Software Engineer, Memorres