Customer Support Executive

The DataFlow Group is a leading global provider of specialized Primary Source Verification (PSV) solutions, background screening and immigration compliance services. The DataFlow Group partners with clients across the public and private sectors to assist them in mitigating potential risk by exposing fraudulent:

Duties and responsibilities:

Key Responsibilities:

● Model Selection & Training:

○ Lead the process of selecting and training state-of-the-art machine

learning models tailored to specific computer vision tasks, including object detection, image segmentation, and anomaly detection.

○ Apply advanced techniques for model fine-tuning and optimization to

achieve the best performance for various applications.

○ Leverage your expertise in YOLO, ViT (Vision Transformers), and other popular architectures to develop high-performing models.

● Computer Vision & Image Processing:

○ Develop and implement computer vision algorithms for tasks such as

object detection, image segmentation and anomaly detection.

○ Use tools like OpenCV for image pre-processing, augmentation, and other necessary transformations for robust model training.

● Model Deployment & Serving:

○ Deploy machine learning models in production environments using

TensorFlow or PyTorch Serving to create highly scalable and performant inference pipelines.

○ Ensure smooth integration of models with production systems and

optimise them for latency, throughput, and memory efficiency.

● MLOps & Data Pipelines:

○ Build and maintain end-to-end machine learning pipelines, from data

ingestion and processing to model inference and monitoring.

○ Apply best practices in ML Ops for versioning, tracking experiments,

automating workflows, and managing deployments.

○ Work with cloud platforms (AWS, GCP, Azure) and containerization

technologies (Docker, Kubernetes) for model serving.

● SQL & Data Management:

○ Write optimised and efficient SQL queries to extract and manipulate large datasets for model training and evaluation.

○ Analyse structured and unstructured data to generate insights and

features for model development.

● Model Evaluation & Performance Metrics:

○ Use statistical methods and metrics to evaluate model performance,

ensuring high accuracy, precision, recall, F1 score, etc., on real-world tasks.

Skills/ Qualifications:

1. Qualifications:

a. Bachelors or Masters. in Computer Science, Machine Learning, Artificial Intelligence, or related field.

b. 5+ years of hands-on experience in data science and machine learning, with a focus on computer vision.

2. Technical know-how:

a. Strong expertise in computer vision tasks, including object detection (YOLO), image segmentation, and image classification.

b. Knowledge of using tools like LabelMe to create image annotations required for training data labelling.

c. In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and Keras.

d. Familiarity with Vision Transformer (ViT) models and their applications.

e. Proficiency with OpenCV for image pre-processing, augmentation, and other related tasks.

f. Experience in building and deploying machine learning models using

TensorFlow Serving, PyTorch Serving, or similar tools.

g. Strong MLOps experience, with hands-on knowledge of creating and

maintaining data pipelines, automating workflows, and managing model

deployments using tools like Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).

3. Data Handling:

a. Expertise in writing optimised SQL queries for large-scale data processing and analysis.

b. Ability to work with large, complex datasets and efficiently query, clean, and process them for training and inference purposes.

4. Model Evaluation:

a. Strong understanding of statistical methods and metrics to evaluate machine learning model performance.

b. Experience with A/B testing, model validation techniques, and performance benchmarking.

Good to have:

● Experience with large-scale distributed machine learning systems.

● Knowledge of advanced techniques such as self-supervised learning, transfer learning, or reinforcement learning.

● Familiarity with data versioning and experiment tracking tools like MLflow or DVC.

● Experience in integrating machine learning models into production environments for real-time inference.

About the Company

LiquiLoans (LL) is an RBI registered NBFC. The LL platform provides consumer loans and has established a strong value proposition in the digital lending space. It is a well capitalized NBFC-P2P with a vision to build an easy to use financial platform serving millions of customers in India. The company is founded by entrepreneurs who have previously co-founded a successful rental platform "RentoMojo''. LiquiLoans is funded by Matrix Partners, which has invested in some of the marquee companies like OlaCabs, Practo, Quikr and Cloud Nine. Marquee Angel Investors.

Our goal is to allow borrowers to get loans at interest rates cheaper than a bank and enable every lender to give loans to creditworthy individuals in a safe and legal manner. We intend to build a dynamic, completely tech-enabled, loan exchange platform where individuals can lend money to other individuals within minutes. We plan to integrate the new age data-driven lending strategies and come up with an end to end, easy to use, online spread of financial products and services.

Ours would be a one-stop destination for all our users, from providing credit facilities to offering investment opportunities. We aspire to develop India’s one of a kind, highly liquid interface where an individual can invest, render and take exposure against existing credit employed within minutes.

Founding Team

1. Achal Mittal: (https://www.linkedin.com/in/achal-mittal-8a95993a/): NMIMS Alum, Ex ICICI and HSBC and co-founded Rentomojo
2. Gautam Adukia: (https://www.linkedin.com/in/gautam-adukia-415a0650/): IIM Alum, Ex IIFL Funding: Raised Series A funding from Matrix Partners

Designation - Product Manager

Key Responsibilities: -

• Conceptualize impactful features and product offerings by collaborating with internal teams like engineering, design, marketing, operations and business development
• Manage the product life cycle, including strategy, requirements, target user research, prototyping, user experience journey, stakeholder satisfaction, etc.
• Implement go-live strategies, define goals and metrics for the success of your product/ feature/ process
• Identifying new potential channels that run parallel with the business goals.
• Creating campaigns and strategies that can attract more customers to the business.
• Measuring and reporting on the performance of all digital marketing campaigns and assess against goals (ROI and KPIs)
• Demonstrate product features to clients/customers, & internal employees
• Brainstorm new and creative growth strategies

Required Skill Set:

• Minimum 3 years of work experience in a product-oriented environment
• Knowledge of Jira, Adobe XD, Google Docs, Freshdesk/Zoho software(s)
• Experience in Agile / Scrum development methodologies
• Crisp communication skills & ability to convert requirements into user stories
• Ability to focus on the task while coordinating with multiple stakeholders
• Experience with enterprise solutions in at least one area like Payments, Embedded Finance, Fintech, Financial Services, CRM, LOS, LMS, etc.

1. Developing HMI application in Qt or similar UI frameworks
2. Develop C++ or Rust backends for the HMI
3. Understand and optimize potential performance bottlenecks

About this role

We are seeking a seasoned DBA to join our team. You will have extensive experience in a mission-critical environment as a database administrator over a successful career.  You will primarily work on the Supporting our Databases, AWS RDS (MySQL), and  MongoDB/ Cassandra.

What You’ll Do

• Provide leadership in database scaling & monitoring. Maintain runbooks for our 24x7 SRE team. 
• Assist in troubleshooting and resolution of database issues. Perform database upgrades and patches.
• Define and develop data pipelines between platforms in a mission-critical environment using DMS, Fivetran, Kafka, etc.
• Work with our developers to optimize and tune their SQL queries.
• Assist in application development, debugging, and optimization with respect to data concerns.
• Provide input in the design and implementation of backup, recovery, and DR strategy
• Review application and database design for compliance.

What You’ll Need

• Ability to script in a high-level language like Python, Ruby, etc for Automation. 
• 8+ years of experience in AWS database services like RDS (Mysql), MongoDB/ Cassandra.
• 4+ years of experience in database design and DevOps on AWS.
• Must demonstrate a clear understanding of logical and physical database design and standards. 
• Experience in columnar data warehouse solutions like Redshift or Snowflake. 
• Must have extensive hands-on experience with MySQL in a large scale 24x7 production environment with millions of records.
• Bachelor of Science in Computer Science, Mathematics, or Engineering; or equivalent work experience

Bonus Points If You Have

• Experience with NoSQL solutions such as Cassandra/MongoDB etc.
• Experience with software development life cycle (SDLC) in an agile environment
• Hands-on production experience with Big Data applications such as Spark.
• Knowledge of development best practices (source control with Git, continuous integration, automated testing).

Java Developer
Joining Location: Bangalore

Experience -  4 to 6 Yrs

Notice Period: Immediate (15-30 Days max)

Salary (Per Annum) :
min Sal:8
max Sal:12L
Description:

• Work experience as a Senior Java Developer or similar role
• Experience designing, building and testing Java EE applications
• In-depth knowledge of popular Java frameworks like Spring and Hibernate
• Minimum of 4+ experience with Spring
• Minimum 2 years’ experience with Hibernate
• Sound knowledge of core java and collections
• Hands on experience building ReST based web services
• Spring Boot experience a plus
• Experience with Object-Oriented Design (OOD) and design patterns
• Hands on experience working with databases
• Good delegation and time management skills
• Problem-solving abilities

Responsibilities:

• Identify and analyze user requirements
• Prioritize, assign and execute tasks throughout the software development life cycle
• Develop Java EE applications
• Write well-designed, efficient code
• Review, test and debug team members’ code
• Design database architecture
• Schedule product releases with internal teams
• Document development phases
• Ensure our applications are secure and up-to-date

Soft Skills

• Good written and oral communication skill
• Team player
• Mentoring and leadership capability