Big Data Architect

• Must have 5 to 10 years of experience on building highly scalable web based enterprise applications using Java/J2EE, Javascript

• Must have experience on front end development using javascript, ReactJS

• Architect and co-create, a highly scalable, available, resilient & distributed applications and multi-tenant Platforms
• Highly hands on with coding/designing, troubleshooting, debugging, monitoring, leading and developing a large scale multi-tenant software components on the Platform in Agile based methodology to provide self-service capabilities (MUST HAVE)
• Must have knowledge of Data structures, must have ability to solve data structure programs on platforms like hakerrank, leetcode  (MUST HAVE)
• Proficiency in engineering practices and writing high quality code, with expertise in Java/J2EE.

• Exposure to NOSQL DB and Relational database

• Exposure to RabbitMQ ,Kafka and Redis Cache

• Working in a team environment, contribute significantly to application solution design and to the high-level design of application software.
• Detailed design, code and test of Cloud Platform software. Provide automated test software in conjunction with application software.

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.

Skills

Job description–MernArchitect

Notice period- Immediate to 60 days

Experience – 7-12

Job Description:

• Designing and developing full-stack web applications using the MEAN or MERN stack (MongoDB, ExpressJS, AngularJS/ReactJS, NodeJS).
• Defining technical architecture and design patterns.
• Ensuring scalability, performance, and security of the applications.
• Mentoring and coaching developers on best practices and standards.
• Collaborating with product and design teams to translate business requirements into technical solutions.
• Staying up-to-date with the latest technologies and trends in web development.
• Building and maintaining technical documentation.
• Resolving complex technical issues and troubleshooting.
• Leading code reviews and ensuring code quality.
• Participating in technical decision-making and project planning

Personal Attributes:

*Extensive experience in MEAN or MERN stack development and deployment.

*Strong leadership and mentorship skills.

*Excellent problem-solving and troubleshooting skills.

*Ability to work in a fast-paced, dynamic environment.

*Strong communication and collaboration skills.

*Bachelor's or Master's degree in Computer Science or related field.

Regards
Team Merito

Roles and Responsibilities

We are looking for a qualified Performance Marketing Lead to take the lead in developing successful, long-term digital marketing strategies for our company.

As a Digital Marketing Lead, you should have in-depth marketing experience and a passion for digital technologies. You will work closely with different teams to ensure consistency through all digital marketing channels. You should also provide forward-thinking ideas to build and maintain a strong company web presence.

Ultimately, you should be able to drive all digital marketing efforts to achieve our business objectives.

We need a spearhead who can:

Performance Marketing

• Continuously iterate and design A/B tests around different creatives, audiences and/or bidding strategies;

• Manage, review, and perform daily account responsibilities associated with different paid advertising platforms,

• Planning and control of the digital performance marketing budget and spend by allocating budgets to different channels;

• Work with campaign teams to plan successful campaigns focusing on audience, product and placements to drive volume and efficiency thresholds;

• Using A/B testing to optimize digital marketing performance;

• Developing and implementing comprehensive digital marketing programs in line with brand plans and business priorities;

• Reviewing and optimizing the design and content of all online assets including the company website and social media pages;

• Working with other stakeholders to optimize the conversion funnel for specific traffic sources, campaigns, user segments etc;

• Working with content marketing and design teams to create suitable content for each stage of a customers digital journey & overseeing multi channel content strategies.

• Analyze weekly and monthly reports from multiple ad channels, Google Analytics, and MMP to drive insights and opportunities along with working knowledge & tracking of analytics tools (GTM & GA)

• Developing and managing digital prospecting and remarketing campaigns

• Ensuring successful planning, execution, optimization for key traffic KPIs via paid, organic & own media channels

• Identifying and testing new channels to continue to meet or exceed established critical metrics

• Working closely with the management to share funnel conversion improvement ideas, feedback & present results

• Managing Digital Marketing Team.

• Knowledge around fraud & its prevention across web & app.

Organic Growth

• Proficiency with all major social media platforms (e.g: FB, Insta, Twitter etc)

• Test ads across devices to ensure the best branding and user experience

• Test ad messaging across segments and report on engagement

• Optimize organic social posts for content and messaging

• Optimize website content, landing pages, and paid search copy.

• Monitor and respond to customer comments on social posts

• Work with internal stakeholders to promote announcements

• Campaign management, measurement, optimization.

• Dive deep into reporting which includes but not limited to bids, device, audience segments, geo and demo targets, and creative, etc

• Maintain digital dashboard of several different accounts

• Strategizing and Maintaining Brand Consistency across social media platforms via tone, voice, and terminology.

• Manage community engagement, growth, and optimization

• Creating compelling social media content, collaborations and campaigns in order to grow Shiprocket's digital community, engage new audiences and sustain existing followers

• Interacting with new and existing audiences online and deepening engagement across all Shiprocket's social media platforms

• Draft social media content for Shiprocket and post it on platforms

• Scan and monitor digital and social media sites and hashtags, identify opportunities for Shiprocket on digital platforms

• Provide live coverage of events including by taking pictures and short videos and drafting messages for Shiprocket social media channels

• Monitor Shiprocket & social media channels, engage with community members and flag reputational risks or communication opportunities to Management

• Support efforts to ensure social media presence and branding are consistent and cohesive across all platforms

• Identify strategic opportunities for content and digital partnerships to enhance Shiprocket & social media reach and engagement

• Growing industry vertical revenue
• Being the P&L owner for industry vertical
• Being the face of company for existing clients
• Owning the account by ensuring depth (by cross selling) and width (by geographic expansion) of business operations with clients
• Being a strategic consultant to industry vertical clients
• Managing higher escalations and preventing churn
• Ensuring timely collection of payments
• Ensuring business margins
• Managing a team of Regional Business Managers

Desired Candidate Profile

• Post Graduates from tier 1/2 management colleges
• 6-10 years of experience as Key Account Manager/National Manager in a B2B domain
• Proven track record in enhancing revenue through strategic initiatives
• Ability to manage conflicts and negotiate
• Multi-tasking capabilities    

As a Data Engineer, your role will encompass: 

• Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture using Scala, Python, Talend etc.   
• Gather and address technical and design requirements.  
• Refactor existing applications to optimize its performance through setting the appropriate architecture and integrating the best practices and standards. 
• Participate in the entire data life-cycle mainly focusing on coding, debugging, and testing. 

• Troubleshoot and debug ETL Pipelines. 
• Documentation of each process. 

Technical Requirements: - 

• BSc degree in Computer Science/Computer Engineering. (Masters is a plus.) 
• 2+ years of experience as a Data Engineer. 

• In-depth understanding of core ETL concepts, Data Modelling, Data Lineage, Data Governance, Data Catalog, etc. 
• 2+ years of work experience in Scala, Python, Java. 
• Good Knowledge on Big Data Tools such as Spark/HDFS/Hive/Flume, etc. 
• Hands on experience on ETL tools like Talend/Informatica is a plus. 
• Good knowledge in Kafka and spark streaming is a big plus. 

• 2+ years of experience in using Azure cloud and its resources/services (like Azure Data factory, Azure Databricks, SQL Synapse, Azure Devops, Logic Apps, Power Bi, Azure Event Hubs, etc). 
• Strong experience in Relational Databases (MySQL, SQL Server)  
• Exposure on data visualization tools like Power BI / Qlik sense / MicroStrategy 
• 2+ years of experience in developing APIs (REST & SOAP protocols). 
• Strong knowledge in Continuous Integration & Continuous Deployment (CI/CD) utilizing Docker containers, Jenkins, etc. 

• Strong competencies in algorithms and software architecture. 
• Excellent analytical and teamwork skills. 

 Good to have: - 

• Previous on-prem working experience is a plus. 
• In-depth understanding of the entire web development process (design, development, and deployment) 

• Previous experience in automated testing including unit testing & UI testing.