
Responsibilities
- Product Strategy: Develop and communicate product vision, strategy, and roadmap.
- Requirement Gathering: Identify and prioritize product requirements through user research.
- Project Planning and Management: Define project goals, milestones, and manage timelines.
- Data Management: Oversee data collection, storage, and quality assurance.
- Machine Learning Models: Collaborate on AI algorithm development and model training.
- User Experience (UX): Advocate for intuitive and user-friendly AI product interfaces.
- Product Launch and Adoption: Plan and execute successful product launches.
- Performance Monitoring and Improvement: Track metrics and propose enhancements.
- Stakeholder Communication: Facilitate communication between technical and non-technical teams.
- Market and Industry Awareness: Stay informed on AI trends and regulatory requirements.
Requirements
- Education: Bachelor’s or master’s degree in computer science, engineering, data science, or related fields with 5+ years’ experience as a product manager and at least 2 years in AI domain.
- Technical Knowledge: Strong understanding of AI, machine learning, and data analysis.
- Product Management Experience: Previous experience in product management or related roles.
- AI Domain Expertise: Proficiency in AI applications and ethical considerations.
- Analytical and Problem-Solving Skills: Ability to analyse complex data and solve problems.
- Communication and Collaboration: Excellent interpersonal and communication skills.
- Leadership and Project Management: Strong leadership and project management abilities.
- User-Centric Mindset: Understanding of user needs and usability testing skills.
- Business Acumen: Knowledge of business principles and market dynamics.
- Adaptability and Learning Agility: Openness to new technologies and continuous learning.

About Webtiga Private limited
About
Experts in Web 3 Technologies -Metaverse, Generative AI, Web3,Cybersecurity and DeFi spoken
For more details - please check out our website-https://www.webtiga.com/solutions/
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cutting-edge technology to problems that have never been solved before, working with architecture and
product teams to collaboratively visualize, design and create machine learning models for M3LD- the
world’s first privacy platform that helps users get control of their data and enterprises to establish trustbased relationships.
KEY ACCOUNTABILITIES & ACTIVITIES
AI-ML Software
Engineer
Accountabilities
& Activities
▪ Study and transform data science prototypes
▪ Design machine learning systems
▪ Research and implement appropriate ML algorithms and tools
▪ Develop machine learning applications according to requirements
▪ Select appropriate datasets and data representation methods
▪ Run machine learning tests and experiments
▪ Perform statistical analysis and fine-tuning using test results
▪ Train and retrain systems when necessary
▪ Extend existing ML libraries and frameworks
▪ Keep abreast of developments in the field
BACKGROUND, SKILLS & QUALIFICATIONS
Knowledge,
Skills and
Experience
▪ Ability and passion to deliver extraordinary results with minimal direction
▪ Collaborating with teams to dissect complex problems and design solutions tailored to M3LD
needs
▪ Expertise in big data processing, data pipeline, machine learning, and AI processing methods.
▪ Proficiency in programming languages - e.g. Python, Java, C++, Ruby.
▪ Track-record of shipping and maintaining code in production with a commitment to high quality,
well-tested code, and automation
▪ Experience with object-oriented design, multi-threading, and synchronisation
▪ Experience with ML frameworks and libraries (Spark, tensor, OpenAI)
▪ Ability to optimize runtime with performant data structures, leveraging distributed systems and/or
cloud platforms
▪ Excellent written skills and ability to document system design documentations.
▪ Experience working in “agile” development environment and collaboration tools like Jira,
Confluence, etc.
▪ Ability to communicate effectively with cross project stakeholders both verbally and in writing
▪ Ability to collaborate with distributed teams across time zones
Qualifications ▪ 5+ years of relevant work experience in enterprise, mobile and complex solution development,
and software engineering
▪ Strong computer science fundamentals required
▪ Experience with deep learning frameworks.
▪ Strong experience in programming and statistics.
▪ Experience working with DevOps practices, Git version control, and agile development
approaches.
▪ Experience developing for major cloud platforms, including Azure, AWS, Google Cloud, and
Oracle Cloud Infrastructure is preferred.

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- Strong experience of AWS ecosystem
- Good working experience in python
- Experience in CI/CD tools like Jenkins
- Experience with Infrastructure automation tools like salt stack or chef is a plus
- Minimum 4 Years of work experience in Site Reliability.
- Extensive experience in supporting production Internet services
- Systematic problem-solving approach, coupled with effective communication skills and a sense of drive

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About NetElixir:
NetElixir is a global digital marketing firm headquartered in Princeton, NJ. With a common goal of helping our customers and challenging ourselves to think differently, we face challenges and tackle them together as a team. We are a close-knit group of imaginative and friendly industry experts who bring our unique passions and personalities together to find creative solutions that drive results.
With offices in the US and India, NetElixir works persistently gathering, evaluating, computing, and formulating raw data and turning it into actionable insights for our customers. We work consistently to develop new technology that will improve and facilitate digital marketing efforts across the globe.
Role: React JS
Experience: 2 -5 Years
Company Website: http://www.netelixir.com/">www.netelixir.com
Job Description:
To be part of Netelixir's Engineering Development Team in Digital Marketing, Consumer Insights, Analytics and Ecommerce Domains which caters to about 100 Ecommerce clients in USA & European Geographies
- Should have implemented at least 2-3 projects using React Interface (ReactJS, React Native).
- Experience with standard libraries for routing, state managers like Redux, knowledge of ES6 and Lodash.
- Familiarity with one of the design systems such as Material UI.
- Strong hands on exposure to convert visual designs to React based web interfaces
- Integration of the React with backend services.
- Exposure to building and integration of web interface with the backend service APIs implemented on Restful, SOAP etc.
- Proficiency in one or more of Java, Tomcat, MySql, MongoDB, Python, Angular, Bootstrap, JQuery, JS Frameworks, JSP, HTML5 CSS Frameworks will be added advantage.
• Team Lead (6-8 yrs of total experience), minimum 3 years of Team Lead exp. required
• Knowledge of full technology stack and experience of leading a team
• Proposing right data structures
• Deciding the right technology stack
• Process Flow Designing
• JIRA tool (Project management tool)
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• Lead end-to-end IT needs of the division and build a strong full-stack delivery team
• Lead directly (hands-on) the building and running of best-in class platform for online learning
and application portal
• Incorporate key features including adaptive learning, analytics tracking capabilities,
streamlining application processes on the portal, machine learning for automatic university
recommendation system
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adequate backups, disaster recovery, pen testing, network security etc. to avoid data
breaches, given the high volume of sensitive data
• Lead collaboration with the development teams, project management, IT service and support
teams and other to support their activities, respond to their needs and respond to incidents
Candidate profile:
Ideally, you’d also have experience with:
• Developing and maintaining products that are used by many thousands or millions of people
• Ruby, Rails, React, Node.js, JavaScript, or Python
• Kafka, Amazon MQ, RabbitMQ or similar streaming or messaging systems
• EdTech, eCommerce, or content-management software
• Relational databases, ORM frameworks, and their alternatives
• Microservices or SOA; RESTful APIs, JSON
• AWS, Docker, Kubernetes, ELK stack
• DevOps, Observability, Infrastructure as Code

