Cloud-Based Geocoding System Architect

Customer Care Executive – Inbound Process | Ahmedabad

Role Overview:

We are hiring a Customer Care Executive to manage inbound calls & emails, resolve client queries, and deliver excellent customer service.

Responsibilities:

• Handle inquiries via calls/emails & provide timely solutions.
• Identify and assess customer needs to ensure satisfaction.
• Maintain accurate documentation & follow communication guidelines.
• Support clients with clarity, professionalism, and problem-solving skills.

Requirements:

• Graduate/Postgraduate (any field except engineering).
• 0–5 years of client servicing experience (Mutual Fund preferred).
• Fluency in English, Hindi & Gujarati with excellent communication.
• Loyal, honest, decision-maker with a long-term vision.

Position:

We are seeking a motivated and detail-oriented Assistant Project Manager with 2 to 4 years of experience to join our team. The candidate will be responsible for overseeing the planning, execution, and delivery of projects within the specified scope, budget, and timeline. This role requires strong leadership abilities, effective communication skills, and a proven track record of successfully managing projects. The candidate will collaborate with cross-functional teams to drive project success, identify and mitigate risks, and ensure stakeholder satisfaction. The ideal candidate will have a keen eye for detail, excellent organizational skills, and the ability to adapt to changing project requirements.

Key Responsibilities:

• Project Planning: Develop comprehensive project plans outlining project scope, objectives, timelines, resources, and budget allocations.

• Team Leadership: Lead and motivate cross-functional teams to achieve project goals, providing guidance, support, and direction as needed.

• Stakeholder Management: Establish and maintain relationships with project stakeholders, keeping them informed of project progress, risks, and changes.

• Risk Management: Identify potential risks and develop mitigation strategies to ensure successful project delivery.

• Resource Allocation: Allocate resources effectively to ensure optimal project performance and resource utilization.

• Budget Management: Monitor project budgets, track expenses, and ensure adherence to financial guidelines.

• Quality Assurance: Implement quality assurance processes to maintain high standards and meet project requirements.

• Communication: Facilitate effective communication among team members, stakeholders, and management, ensuring clarity and transparency throughout the project lifecycle.

• Problem Solving: Address issues and conflicts that arise during project execution promptly and effectively, seeking resolution to minimize disruptions.

• Documentation: Maintain accurate project documentation, including project plans, status reports, meeting minutes, and change requests.

• Continuous Improvement: Identify opportunities for process improvement and implement best practices to enhance project delivery efficiency.

• Closure and Evaluation: Ensure proper project closure, including post-project evaluation, lessons learned documentation, and handover of deliverables to stakeholders.

Required Qualifications:

• Bachelor's degree in business administration, project management, engineering, or a related field.

• 2-4 years of experience in project management, preferably in a relevant industry.

• Strong understanding of project management methodologies, tools, and techniques.

• Excellent organizational and time management skills, with the ability to prioritize tasks effectively.

• Exceptional leadership and interpersonal skills, with the ability to influence and motivate team members.

• Effective communication skills, both written and verbal, with the ability to convey complex ideas clearly and concisely.

• Proven track record of successfully managing projects within scope, budget, and schedule constraints.

• Proficiency in project management software and tools, such as Microsoft Project, Jira, or Trello.

• PMP or CAPM certification is a plus, but not required

Job Title: AI/ML Engineer

Expereince: 5+ Years

Location: Remote

Responsbilities

Algorithm Development:

• Design and develop cutting-edge algorithms for solving complex business problems.

• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.

Content Customization:

• Implement content customization strategies to enhance user experience and engagement.

• Work closely with stakeholders to tailor AI/ML models for specific business needs.

Data Collection and Preprocessing:

• Develop robust data collection strategies to ensure the availability of high-quality datasets.

• Implement preprocessing techniques to clean and prepare data for model training.

Model Training and Evaluation:

• Utilize machine learning frameworks such as TensorFlow, Pytorch, and Scikit Learn for model training.

• Conduct rigorous evaluation of models to ensure accuracy and reliability.

Monitoring and Optimization:

• Implement monitoring systems to track the performance of deployed models.

• Continuously optimize models for better efficiency and accuracy.

Data Analytics and Reporting:

• Leverage statistical modelling techniques to derive meaningful insights from data.

• Generate reports and dashboards to communicate findings to stakeholders.

Documentation:

• Create comprehensive documentation for algorithms, models, and implementation details.

• Provide documentation for training, deployment, and maintenance procedures.

Skills:

• 6+ years of experience in AI/ML engineering.
• Proficiency in Python and machine learning frameworks (TensorFlow, Pytorch, Scikit Learn).
• Experience in Natural Language Processing (NLP) and Computer Vision.
• Expertise in Generative AI techniques.
• Familiarity with cloud platforms such as Azure and AWS.
• Strong background in statistical modelling and content customization.
• Excellent problem-solving skills and ability to work independently.
• Strong communication and collaboration skills

As a DevOps Engineer with experience in Kubernetes, you will be responsible for leading and managing a team of DevOps engineers in the design, implementation, and maintenance of the organization's infrastructure. You will work closely with software developers, system administrators, and other IT professionals to ensure that the organization's systems are efficient, reliable, and scalable. 

Specific responsibilities will include: 

• Leading the team in the development and implementation of automation and continuous delivery pipelines using tools such as Jenkins, Terraform, and Ansible. 
• Managing the organization's infrastructure using Kubernetes, including deployment, scaling, and monitoring of applications. 

• Ensuring that the organization's systems are secure and compliant with industry standards. 
• Collaborating with software developers to design and implement infrastructure as code. 
• Providing mentorship and technical guidance to team members. 
• Troubleshooting and resolving technical issues in collaboration with other IT professionals. 
• Participating in the development and maintenance of the organization's disaster recovery and incident response plans. 

To be successful in this role, you should have strong leadership skills and experience with a variety of DevOps and infrastructure tools and technologies. You should also have excellent communication and problem-solving skills, and be able to work effectively in a fast-paced, dynamic environment. 

You will be responsible for overseeing full-stack development as well as the R&D around creating various, unique, and bespoke solutions.

You should be able to quickly understand and support initiatives that will contribute to the goals and success of operations. You would also be working with various departments to coordinate and develop digital solutions for bespoke in-house software.

RESPONSIBILITIES

• Work with development teams and product manager to implement software solutions.

• Developing front end and back end website Architecture.

• Build user interactions on web pages.

• Develop and manage databases for functionalities.

• Designing and developing effective APIs.

• Test Software to ensure the responsiveness and efficiency of applications.

• Meeting both technical and consumer/client needs.

• Write technical documentation.

• Troubleshoot, debug, and review the code.

•  3+ years of experience in Machine Learning
• Bachelors/Masters in Computer Engineering/Science.
• Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts.
• 10 and 12th acedemics 70 % & above.

Skills :
 - Strong Python/ programming skills
 - Good conceptual understanding of Machine Learning/Deep Learning/Natural Language            Processing
 - Strong verbal and written communication skills.
 - Should be able to manage team, meet project deadlines and interface with clients.
 - Should be able to work across different domains and quickly ramp up the business                   processes & flows & translate business problems into the data solutions

• Extensive experience in building REST APIs
• Experience in building, managing, and enhancing backend / server-side development using java / java scripts. Expertise in NodeJS is preferred
• The person must have built systems that consume and process volumes of data from various sources. Experience in handling and managing data in NoSQL databases such as Mongodb.
• Extensive experience of building custom UI for web using the popular frameworks like angular and react. Experience in developing mobile UI is nice to have
• Experience of working with code repositories such as Github and GitLab.
• Fluent written and spoken English.
• Experience of working on Cloud environments and experience in AWS is preferred.
• Experience in Dockers and Kubernetes for deployments

Lunavo Labs is a US-based remote software product experience company headquartered in SanDiego, California. We are a bunch of technology enthusiasts from all over the world. We are called Lunavo because we believe that it is possible to bring the Moon to the Earth. We believe in making things possible. We are passionate about executing products with agile lean processes that work to create product experiences that drive results. We have created an ecosystem of talent spread across geographies and agile design and development processes to create software that delivers value for our clients. (www.lunavolabs.com)