
● Solving all product or service related issues of the customers.
● Giving the right pitch to the potential customers, so they end up buying the product or availing the services.
● Keeping a proper record of the customers.
● Maintaining and updating the information of the customers regularly.
● Providing the best possible solution to the queries of the customers.
● Making products and services reports by collecting and analysing the information
provided by the customers.
● Providing resolution to customer queries over the phone, emails, Whatsapp, etc.

About Fantiger
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REQUIRED SKILLS:
Project Management, Data Analysis, SQL queries, Client Engagement
MANDATORY CRITERIA:
- Should have at least 1 to 3 years of project/program management experience in Financial Services / Banking / NBFC / Fintech companies only.
- Hands-on proficiency in data analysis and SQL querying, with ability to work on large datasets
- Ability to lead end-to-end implementation projects and manage cross-functional teams effectively.
- Experience in process analysis, optimization, and mapping for operational efficiency.
- Strong client-facing communication and stakeholder management capabilities.
- Good expertise in financial operations processes and workflows with proven implementation experience.
DESCRIPTION:
About the company:
The company is a leading provider of financial operation solutions, dedicated to helping organizations streamline their financial processes and achieve operational excellence. Our innovative platform empowers clients to automate complex operations, ensuring accuracy and efficiency in their financial operations.
POSITION OVERVIEW:
We are seeking a dynamic and experienced Technical Program Manager to join our team. The successful candidate will be responsible for managing the implementation of company’s solutions at existing and new clients. This role requires a deep understanding of financial operation processes, exceptional problem-solving skills, and the ability to analyze large volumes of data. The Technical Program manager will drive process excellence and ensure outstanding customer satisfaction throughout the implementation lifecycle and beyond.
KEY RESPONSIBILITIES:
- Client Engagement: Serve as the primary point of contact for assigned clients, understanding their unique operation processes and requirements. Build and maintain strong relationships to facilitate successful implementations.
- Project Management: Lead the end-to-end implementation of company's solutions, ensuring projects are delivered on time, within scope, and within budget. Coordinate with cross-functional teams to align resources and objectives.
- Process Analysis and Improvement: Evaluate clients' existing operation workflows, identify inefficiencies, and recommend optimized processes leveraging company’s platform. Utilize process mapping and data analysis to drive continuous improvement.
- Data Analysis: Analyze substantial datasets to ensure accurate configuration and integration of company's solutions. Employ statistical tools and SQL-based queries to interpret data and provide actionable insights.
- Problem Solving: Break down complex problems into manageable components, developing effective solutions in collaboration with clients and internal teams.
- Process Excellence: Advocate for and implement best practices in process management, utilizing methodologies such as Lean Six Sigma to enhance operational efficiency.
- Customer Excellence: Ensure a superior customer experience by proactively addressing client needs, providing training and support, and promptly resolving any issues that arise.
QUALIFICATIONS:
- 1 to 3 years of experience in project management, preferably in financial services, software implementation, consulting or analytics.
- Strong analytical skills with experience in data analysis, SQL querying, and handling large datasets.
- Excellent communication and interpersonal skills, with the ability to manage client relationships effectively.
- Demonstrated ability to lead cross-functional teams and manage multiple projects concurrently.
- Proven expertise in financial operation processes and related software solutions is a plus
- Proficiency in developing business intelligence solutions or with low-code tools is a plus
WHY JOIN US?
- Opportunity to work with a cutting-edge financial technology company.
- Collaborative and innovative work environment.
- Competitive compensation and benefits package.
- Professional development and growth opportunities.
We're seeking an AI/ML Engineer to join our team-
As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.
Responsibilities
- Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
- AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
- Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
- Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
- Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
- Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
- Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
- Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
- Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference
Requirements
- Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
- Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
- Proficiency in programming languages commonly used for AI/ML. Preferably Python
- Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
- Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
- Strong understanding of machine learning algorithms, statistics, and data structures
- Experience with data preprocessing, data wrangling, and feature engineering
- Knowledge of deep learning architectures, neural networks, and transfer learning
- Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
- Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
- Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
- Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders
Senior Data Engineer
Experience: 5+ years
Chennai/ Trichy (Hybrid)
Type: Fulltime
Skills: GCP + Airflow + Bigquery + Python + Docker
The Role
As a Senior Data Engineer, you own new initiatives, design and build world-class platforms to measure and optimize ad performance. You ensure industry-leading scalability and reliability of mission-critical systems processing billions of real-time transactions a day. You apply state-of-the-art technologies, frameworks, and strategies to address complex challenges with Big Data processing and analytics. You work closely with the talented engineers across different time zones in building industry-first solutions to measure and optimize ad performance.
What you’ll do
● Write solid code with a focus on high performance for services supporting high throughput and low latency
● Architect, design, and build big data processing platforms handling tens of TBs/Day, serve thousands of clients, and support advanced analytic workloads
● Providing meaningful and relevant feedback to junior developers and staying up-to-date with system changes
● Explore the technological landscape for new ways of producing, processing, and analyzing data to gain insights into both our users and our product features
● Design, develop, and test data-driven products, features, and APIs that scale
● Continuously improve the quality of deliverables and SDLC processes
● Operate production environments, investigate issues, assess their impact, and develop feasible solutions.
● Understand business needs and work with product owners to establish priorities
● Bridge the gap between Business / Product requirements and technical details
● Work in multi-functional agile teams with end-to-end responsibility for product development and delivery
Who you are
● 3-5+ years of programming experience in coding, object-oriented design, and/or functional programming, including Python or a related language
● Love what you do and are passionate about crafting clean code, and have a steady foundation.
● Deep understanding of distributed system technologies, standards, and protocols, and have 2+ years of experience working in distributed systems like Airflow, BigQuery, Spark, Kafka Eco System ( Kafka Connect, Kafka Streams, or Kinesis), and building data pipelines at scale.
● Excellent SQL, DBT query writing abilities, and data understanding
● Care about agile software processes, data-driven development, reliability, and responsible experimentation
● Genuine desire to automate decision-making, processes, and workflows
● Experience working with orchestration tools like Airflow
● Good understanding of semantic layers and experience in tools like LookerML, Kube
● Excellent communication skills and a team player
● Google BigQuery or Snowflake
● Cloud environment, Google Cloud Platform
● Container technologies - Docker / Kubernetes
● Ad-serving technologies and standards
● Familiarity with AI tools like Cursor AI, CoPilot.
Job Description – Developer (ETL + Database)
Develop, document & Support ETL mappings, Database structures & BI reports.
Perform unit testing of developments done by him/her.
Participate in UAT process and ensure quick resolution of any UAT issue.
Manage different environments and be responsible for proper deployment of code in all client
environments.
Prepare release documents.
Prepare and Maintain project documents as advised by Team Leads.
Skill-sets:
3+ years of Hands on experience on ETL Pentaho Spoon Talend & MS SQL Server, Oracle & SYBASE Database tools.
Ability to write complex SQL and database procedures.
Good knowledge and understanding regarding Data warehouse Concepts, ETL Concepts, ETL
Loading Strategies, Data archiving, Data Reconciliation, ETL error handling etc.
Problem Solving.
Good communication skills – written and verbal.
Self-motivated, team player, action and result oriented.
Ability to successfully work under tight project schedule
- 8+ years of hands-on experience in enterprise software development using Java, and J2EE Framework.
- Experience with http://react.js/">React.js, AngularJS, strong knowledge of JavaScript, CSS, HTML5
- Passion for building enterprise web applications leveraging modern architecture principles, strong prior experience as a full stack developer.
- Expertise with CSS and building responsive pages, with a keen eye for UI design and usability
- Experience with web-accessibility/WCAG standards
- Experience working collaboratively with a globally distributed team.
- Experience with agile methodologies and good exposure to DevOps/CICD models.
- Passion for keeping up with new trends and developments in the programming community and is eager to find ways to incorporate these new ideas into our codebase.
WHAT WE'RE LOOKING FOR
- Bachelors or masters in software engineering, Computer Science or other relevant disciplines
- 2+ years experience as a Back-End or Full Stack Developer with hands-on experience working with Python web application development
- Strong Knowledge in Python v3.x Language
- Experience in REST APIs with JSON
- Error handling and Logging
- Any DB knowledge
- Knowledge on Sumo Logic log aggregation is a plus
- Must know how to produce high quality, “Clean” code that is performant, maintainable and secure
- Automation Expert builds the RPA project using the RPA tooling.
- Should be the member of core automation team and may or may not have the developer level expertise depending on the RPA tool the organization is using.
- The automation architect still has some experience in the programming and solving the real world problem.
- Demonstrate, present and promote services to salons, spas & gyms (Beauty & Wellness Industry)
- Should have excellent verbal & presentation skills
- Knowlege of local language is a must
- Should be inovative and target driven
- Willing to travel
- Demonstrate honesty & integrity
Market research for selling IT services and solutions in a different domain
Send email campaigns/ newsletters and relevant follow-up
Assist in proposals and presentation
Work closely with Sales Managers to qualify prospects, coordinate meetings, and drive new opportunities
Establishing and cultivating healthy relationships with prospective customers
Develop new relationships of key decision-makers in prospective customers.
• Experience in cold Calling, Business Development and Lead Generation via Phone, Email and Web.
• Interacting with the higher authorities of the company such as managers and directors and discuss business issues with them.
• Ensuring effective achievement of targets and preparation of reports.
• Follow the latest industry developments and stay up-to-date on corporate competitors
• Experience in IT industry would be an added advantage







