Jr. Graphic Designer

We are looking for QA role who has experience into Python ,AWS,and chaos engineering tool(Monkey,Gremlin)

⦁ Strong understanding of distributed systems

• Cloud computing (AWS), and networking principles. 
• Ability to understand complex trading systems and prepare and execute plans to induce failures
• Python. 
• Experience with chaos engineering tooling such as Chaos Monkey, Gremlin, or similar

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.

Experice:5-6 Years
Notice: Immediate-20 Days(Max)

MUST HAVE SKILLS

1. Minimum 5+ years of experience in C#, .Net Core, Web API, MVC, and Entity Framework.

2. Strong object-oriented programming skills.

3. Very good communication skills.

4. Experience with RESTful APIs to connect other backend services.

5. Should have developed more than 2 applications.

6. CI/CD, GIT

7. Experience with performance improvement of applications.

8. Must have experience in Azure cloud (DevOps, AppService, and Azure functions)

We are looking for passionate, talented and super-smart engineers to join our product development team. If you are someone who innovates, loves solving hard problems, and enjoys end-to-end product development, then this job is for you! You will be working with some of the best developers in the industry in a self-organising, agile environment where talent is valued over job title or years of experience.

Responsibilities:

• You will be involved in end-to-end development of VIMANA technology, adhering to our development practices and expected quality standards.
• You will be part of a highly collaborative Agile team which passionately follows SAFe Agile practices, including pair-programming, PR reviews, TDD, and Continuous Integration/Delivery (CI/CD).
• You will be working with cutting-edge technologies and tools for stream processing using Java, NodeJS and Python, using frameworks like Spring, RxJS etc.
• You will be leveraging big data technologies like Kafka, Elasticsearch and Spark, processing more than 10 Billion events per day to build a maintainable system at scale.
• You will be building Domain Driven APIs as part of a micro-service architecture.
• You will be part of a DevOps culture where you will get to work with production systems, including operations, deployment, and maintenance.
• You will have an opportunity to continuously grow and build your capabilities, learning new technologies, languages, and platforms.

Requirements:

• Undergraduate degree in Computer Science or a related field, or equivalent practical experience.
• 2 to 5 years of product development experience.
• Experience building applications using Java, NodeJS, or Python.
• Deep knowledge in Object-Oriented Design Principles, Data Structures, Dependency Management, and Algorithms.
• Working knowledge of message queuing, stream processing, and highly scalable Big Data technologies.

• Experience in working with Agile software methodologies (XP, Scrum, Kanban), TDD and Continuous Integration (CI/CD).
• Experience using no-SQL databases like MongoDB or Elasticsearch.
• Prior experience with container orchestrators like Kubernetes is a plus.

• We recognize that our dedicated team members make us successful and we offer competitive salaries.
• We are a workplace that values work-life balance, provides flexible working hours, and full time remote work options.
• You will be part of a team that is highly motivated to learn and work on cutting edge technologies, tools, and development practices.
• Bon Appetit! Enjoy catered breakfasts, lunches and free snacks!