Data Model & UDX

AI/ML Data Solution Architecture Ability to define data architecture strategy that align with business goals for AI use cases and ensures data availability & data accuracy. Ensuring data quality by implementing and enforcing data governance policies and best practices Technology evaluation & selection Execute Proof of concept and Proof of value for various technology solutions and frameworks Continuous Learning - Staying up to date with emerging technologies and trends in Data Engineering, AI / ML, and GenAI, and making recommendations for their adoption wherever appropriate Team Management Responsible for leading a team of data architects and data engineers, as well as coordinating with vendors and technology partners Collaboration & communication Collaborate and work closely with executives, stakeholder and business teams to effectively communicate architecture strategy & clearly articulate the business value.

Experience : 12 to 16 yrs

Work location : JP Nagar 3rd phase, South Bangalore. (Work from office role, IC role to begin with)

Suitable candidate be able to demonstrate strong experience in the following areas -

Data Engineering

• Hands-on experience with data engineering tools such as Talend (or Informatica or AbInitio), Databricks (or Spark), and HVR (or Attunity or Golden Gate or Equalum).
• Working knowledge of data build tools, Azure Data Factory, continuous integration and continuous delivery (CI/CD), automated testing, data lakes, data warehouses, big data, Collibra, and Unity Catalog
• Basic knowledge of building analytics applications using Azure Purview, Power BI, Spotfire, and Azure Machine Learning.

AI & ML -

• Conceptualize & design end-to-end solution view of sourcing data, pre-processing data, feature stores, model development, evaluation, deployment & governance
• Define model development best practices, create POVs on emerging AI trends, drive the proposal responses, help solving complex analytics problems and strategize the end-to-end implementation frameworks & methodologies
• Thorough understanding of database, streaming & analytics services offered by popular cloud platforms (Azure, AWS, GCP) and hands-on implementation of building machine learning pipeline with at least one of the popular cloud platforms
• Expertise on Large Language Model preferred with exposure to implementing generative AI using ChatGPT / Open AI and other models. Harvesting Models from open source will be an added advantage
• Good understanding of statistical analysis, data analysis and knowledge of data management & visualization techniques
• Exposure to other AI Platforms & products (Kore.ai, expert.ai, Dataiku etc.) desired
• Hands-on development experience in Python/R is a must and additional hands-on experience on few other procedural/object-oriented programming languages (Java, C#, C++) is desirable.
• Leadership skills to drive the AI/ML related conversation amidst CXO, Senior Leadership and making impactful presentations to customer organizations

Stakeholder Management & Communication Skills

• Excellent communication, negotiation, influencing and stakeholder management skills
• Preferred to have experience in project management, particularly in executing projects using Agile delivery frameworks
• Customer focus and excellent problem-solving skills

Qualification

• BE or MTech (BSc or MSc) in engineering, sciences, or equivalent relevant experience required.
• Total 13+ years of experience and 10+ years of experience in building/managing/administrating data and analytics applications is required
• Designing solution architecture and present the architecture in architecture review forums

Additional Qualifications

• Ability to define best practices for data governance, data quality, and data lineage, and to operationalize those practices.
• Proven track record of designing and delivering solutions that comply with industry regulations and legislation such as GxP, SoX, HIPAA, and GDPR.

Lead Generation Specialist

Summary:

As a Lead Generation Specialist at [Company Name], you will play a crucial role in the growth and success of our business. You will be responsible for identifying and cultivating potential leads, nurturing relationships, and converting prospects into qualified sales opportunities.

Key Responsibilities:

Lead Identification:

• Research and identify potential leads through various channels, including online research, social media, industry-specific databases, and inbound inquiries.
• Utilize tools and software to gather and organize lead data effectively.
• Develop a deep understanding of our target audience and market segments.

Lead Nurturing:

• Initiate contact with leads through email, phone calls, and other communication methods.
• Engage with leads to understand their needs and challenges.
• Provide relevant information and resources to educate and nurture leads through the sales funnel.

Data Management:

• Maintain accurate and up-to-date records of lead interactions and status in CRM software.
• Segment and categorize leads for personalized outreach.
• Monitor lead data for quality and completeness.

Lead Qualification:

• Assess and qualify leads based on predefined criteria.
• Collaborate with the sales team to ensure seamless handover of qualified leads.
• Schedule appointments and product demonstrations for qualified prospects.

Reporting and Analysis:

• Generate regular reports on lead generation activities, including conversion rates, pipeline growth, and lead sources.
• Analyze data to identify trends and opportunities for optimization.

Qualifications:

·        Bachelor's degree in Marketing, Business, or a related field.

·        Proven experience in lead generation, preferably in a B2B or technology-related industry.

·        Familiarity with lead generation tools and software, such as CRM systems and marketing automation platforms.

·        Strong communication and interpersonal skills.

·        Self-motivated with the ability to work independently and as part of a team.

·        Excellent organizational and time management skills.

·        Data-driven mindset with a focus on achieving targets and KPIs.

Key Responsibility Areas:

• Should have excellent knowledge of Swift and Objective C
• Good working knowledge in Cocoa Touch
• Experience with performance and memory tuning with tools
• Experience with memory management & caching mechanisms specific to mobile devices
• Experience with third-party libraries and APIs
• Experience working with Core Data, Realm
• Understanding of the full mobile development life cycle
• Experience in publishing apps to the App Store.
• Code version tool – Git, Bitbucket
• Design Pattern - MVC and MVVM, MVP
• Must be able to provide individual or project oversight on rapid prototyping/POC 
• efforts and large scale enterprise wide roll out planning.
• Must be familiar with software development methodologies like Agile, Waterfall, Iterative etc.
• Must have strong analytical skills and should be able to define and build competency assets – estimators, tools, reusable assets, scripts, etc.
• Must have strong communication and customer interfacing skills with particular emphasis on Scope and Requirements Management
• Experience in IoT domain will be a big plus

Required Skills:

• Experience in publishing apps to the App Store.
• Code version tool – Git, Bitbucket
• Design Pattern - MVC and MVVM, MVP
• Must be able to provide individual or project oversight on rapid prototyping/POC 
• efforts and large scale enterprise wide roll out planning.
• Must be familiar with software development methodologies like Agile, Waterfall, Iterative etc.

Zobaze is an early-stage startup, based out of THUB, Hyderabad.

Experienced developers who can develop Mobile Applications using Flutter.

Work closely with founders on building product.

Requirements -

Strong Knowledge of Java

Experience in building Apps with Android Studio

Product mindset, ability to take product manager hat if required in the future.

Have to do multiple tasks if required

Stock Options ( ESOP )

Note: It's not a 9to5 job.

A lot to learn.