Customer Success Associate

• Interacting via various channels, such as live chat, emails, social media, and direct calls
• Modifying sales pitches in response to customer demand
• Acquiring and retaining contact information databases
• Put forward suggestions following the requirements of the consumer
• Ensure a smooth procedure for the consumer by transferring windows of opportunity to the appropriate department for further action
• Must be comfortable with an onsite shift.

Lead Data Engineer

Data Engineers develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. It could also be a software delivery project where you're equally happy coding and tech-leading the team to implement the solution.

Job responsibilities

·      You might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems

·      You will partner with teammates to create complex data processing pipelines in order to solve our clients' most ambitious challenges

·      You will collaborate with Data Scientists in order to design scalable implementations of their models

·      You will pair to write clean and iterative code based on TDD

·      Leverage various continuous delivery practices to deploy, support and operate data pipelines

·      Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available

·      Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions

·      Create data models and speak to the tradeoffs of different modeling approaches

·      On other projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new product

·      Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process

·      Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes

Job qualifications Technical skills

·      You are equally happy coding and leading a team to implement a solution

·      You have a track record of innovation and expertise in Data Engineering

·      You're passionate about craftsmanship and have applied your expertise across a range of industries and organizations

·      You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, and Hadoop

·      You have built large-scale data pipelines and data-centric applications using any of the distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and any of the distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting

·      Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions

·      You are comfortable taking data-driven approaches and applying data security strategy to solve business problems

·      You're genuinely excited about data infrastructure and operations with a familiarity working in cloud environments

·      Working with data excites you: you have created Big data architecture, you can build and operate data pipelines, and maintain data storage, all within distributed systems

Professional skills

·      Advocate your data engineering expertise to the broader tech community outside of Thoughtworks, speaking at conferences and acting as a mentor for more junior-level data engineers

·      You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives

·      An interest in coaching others, sharing your experience and knowledge with teammates

·      You enjoy influencing others and always advocate for technical excellence while being open to change when needed

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.

Objectives :

• Building and setting up new development tools and infrastructure
• Working on ways to automate and improve development and release processes
• Testing code written by others and analyzing results
• Ensuring that systems are safe and secure against cybersecurity threats
• Identifying technical problems and developing software updates and ‘fixes’
• Working with software developers and software engineers to ensure that development follows established processes and works as intended
• Planning out projects and being involved in project management decisions

Daily and Monthly Responsibilities :

• Deploy updates and fixes
• Build tools to reduce occurrences of errors and improve customer experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Skills and Qualifications :

• Degree in Computer Science or Software Engineering or BSc in Computer Science, Engineering or relevant field
• 3+ years of experience as a DevOps Engineer or similar software engineering role
• Proficient with git and git workflows
• Good logical skills and knowledge of programming concepts(OOPS,Data Structures)
• Working knowledge of databases and SQL
• Problem-solving attitude
• Collaborative team spirit

Must-Have Technology Skills:

• OOP Concept, Java 8+, Spring Boot, API development, Agile Scrum knowledge, Strong Databases design concepts of RDBMS, and capable of writing and optimizing complex queries.
  Good understanding of any Database tool e.g. Postgres, MySQL, etc.,
• DevOps basic knowledge e.g. implementation of logging in the code, Application Performance Management.
• Basic API & Application security, and Basics of tuning application performance.
• Basic Understanding of DevOps concepts e.g. CI & CD, Deployment lifecycle, Basic understanding of unit testing concepts e.g. TDD (test-driven development).
• A basic understanding of Microservices patterns
• A basic understanding of Java scripting.
• Good understanding of UI Frameworks like Angular 8+

Must-Have Soft Skills:

• Verbal & Written English communication, Good Problem-solving skills,
• Good Planning skills,
• Team Player,
• Good leadership skills
• Good written and verbal communication

Job Description

• Good experience as a full-stack developer in DB-centric applications and should be able to write and optimize complex database queries
• Requirement gathering & understanding, effort estimation, technical design, project planning, and monitoring in an Agile environment.
• Work proactively & independently to address project requirements, and articulate issues/challenges with enough lead time to address project delivery risks.
• Providing expertise in technical analysis and solving technical issues during project delivery.
• Customer interfacing - understand customer requirements, and propose technical solutions.
• Full Software Development Lifecycle (Agile).
• Code reviews, test case reviews and ensure code developed meets the requirements.
• Component Design/ Coding/ Unit Testing/ Debugging / Test Driven Development / Continuous Integration.
• Carry out adaptive changes necessitated by changes in Business Requirements and Technology

• Creating a WordPress plugin with WordPress coding standard and themes, contributed plugins over wordpress.org is a big plus.
  

• Knowledge of how to interact with RESTful APIs and formats (JSON, XML).
  

• Proficient understanding of code versioning tools such as Git, Mercurial.
  

• Strong Knowledge in Woo commerce, Yost SEO, ACF.
  

• Strong understanding of PHP back-end development.  
  

JOB DESCRIPTION

Designation - Area Sales Manager

Qualification – Any Graduate, Preferably B Pharm, M Pharm, MBA

Experience – Min 5 years

• Devising, reviewing and reporting on the strategy for business development in line with the strategic objectives of the organisation
• Planning, formulating and implementing marketing strategies and promotions to increase market penetration and to drive revenue & profitability by maximizing sales
• Formulating, developing and implementing yearly business strategies to ensure attainment of revenue goals and profitable sell-through
• Managing, training and providing overall guidance to the sales of an assigned territory
• Steering business operations for the profit center with a view to realize pre-planned sales and revenue targets; formulating profit center budget for operational / business development activities