
Work Mode: Hybrid (2 days WFO)
We are looking for a Data Engineer who is a self-starter to work in a diverse and fast-paced environment within our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns,regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.
Responsibilities
· Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements
· Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data
· Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development
· Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc
· Unify, enrich, and analyze variety of data to derive insights and opportunities
· Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate
· Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform
· Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org
· Mentor other members in the team and organization and contribute to organizations’ growth.
Soft Skills
· Independent and able to manage, prioritize & lead workloads
· Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams
· Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Technical Skills
· 8+ years’ work experience and bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
· Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc.
· 5 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search, Azure Data factory and Azure synapse analytics, Git Integration with Azure DevOps, etc.
· Experience with designing & developing data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities
· Experience with building, testing and enhancing data curation pipelines and integrating data from a wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity
· Experience with maintaining the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensuring high availability of the platform; monitoring workload demands; working with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application
· 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools

About BlueCloud
About
BlueCloud proudly stands at the forefront of data and analytics, GenAI, and cloud transformation. As a leading Snowflake partner, we offer our clients tailored solutions using the latest cloud technologies. Our suite of premium services includes digital strategy, data engineering and analytics, digital services, and cloud operations—all offered at competitive rates, thanks to our unique flexible delivery model.
At BlueCloud, we provide a dedicated Innovation team for strategic and execution support to implement effective business strategies and technology solutions for our diverse clientele, which spans Fortune 500 companies, mid-market firms, and startups. Our commitment is steadfast in fostering customer success within the dynamic GenAI landscape. We prioritize innovation, exceptional customer service, and the cultivation of employee engagement.
For deeper insight into our capabilities and the real-world impact we create, we invite you to visit our website at www.blue.cloud.
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Role Overview
We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation
solutions.
Key Responsibilities
Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.
Build and deploy models for object detection, image segmentation, classification, and tracking.
Mentor and guide junior engineers on deep learning best practices and scalable software engineering.
Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.
Work with YOLO-based and transformer-based models for industrial use-cases.
Lead integration of AI systems into production with hardware, backend, and DevOps teams.
Develop automated benchmarking, annotation, and evaluation tools.
Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.
Required Skills
Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and
tracking (Deep SORT).
Sound understanding of real-time video analytics and inference optimization.
Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.
Familiarity with OpenCV, NumPy, and image processing techniques.
Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)
Good to Have
Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.
Exposure to production-level MLOps practices.
Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.
Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.
Publications, patents, or open-source contributions in the AI/ML space.
Qualifications
B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.
4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.
Strong portfolio or demonstrable projects in production environments
Job Description:
Machine Learning / AI Engineer (with 3+ years of experience)
We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.
Responsibilities:
1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.
2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.
3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.
4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.
5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.
6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.
7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.
Requirements:
1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.
2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.
3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.
4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.
5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.
6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.
7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.
8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders
Will be incharge for Digital Marketing, Web development , Business consulting to startups and sick unit Domain and accountable for Profit Generation .
Develop goals and objectives that tend to growth and prosperity
Design and implement business plans and strategies to promote the attainment of goals
Ensure that the company has the adequate and suitable resources to complete its activities (e.g. people, material, equipment etc.)
Organize and coordinate operations in ways that ensure maximum productivity and Profitable.
Supervise the work of employees and provide feedback and counsel to improve efficiency and effectiveness
Maintain relationships with partners/vendors/suppliers
Gather, analyze and interpret external and internal data and write reports
Assess overall department performance against objectives
Represent the company in events, conferences etc.
Ensure adherence to legal rules and guidelines
Coordinate with Technical Team to deliver better service.
Will be incharge for Marketing , Sales, Managing Team , Service , Business Forcasting and Planing.
KRA.
Month on Month Profit Generation by effectively Running the Business unit.
Always should Exceed the Customers Expectation
Role
As one of the senior members of the backend development team you will be
responsible for architecting and setting the standards for building our core
backend/microservices. Also, you will be responsible for shaping up the entire system for scale
and collaborating extensively with the frontend and design teams to create the best consumer
experiences.
Responsibilities
● Develop microservices that will be used by the frontend through API endpoints.
● Translate business requirements into high quality code.
● Ensure that the code is deployed in a secure and scalable fashion.
● Focus on code maintainability and performance of application.
● Provide technical advice and assists in solving programming problems.
● Enhance Analytics and overall backend architecture for better performance.
Requirements
● 4+ years of backend/full-stack development experience
● 1+ years of experience on NodeJS
● 1+ years experience in building APIs in a microservice architecture
● Has experience managing other developers, recruiting and training.
● Experience in PHP is a plus
● Experience with AWS services such as Lambda, CloudWatch, CloudFront
● Has experience in code reviewing/being the gatekeeper for an entire project
● Experience with RabbitMQ or similar queuing system
● Experience with Redis/ElasticSearch is a plus
● Familiarity with CI/CD pipeline tools like Jenkins
● Good knowledge of working with Git
● A knack for benchmarking and optimization
Qualifications
• 4+ years of professional software development experience
• 4+ years of object-oriented Java / J2EE development
• Full SDLC experience (requirements gathering, architecture, development, QA, etc.…)
• Experience with Spring (MVC, IOP/DI, REST, Security) & Hibernate/Spring
• Experience with SOAP / REST web services
• Knowledge of SQL
• Knowledge of No SQL concepts, understanding of Solr, Redis and Mongo DB is desirable
• Understanding concepts of CDN & Content Management
• Must have worked on any one messaging solutions
• Bonus Points for micro service design and development experience
• Bonus points for any mobile development experience
• Used Agile methodology
• Experience leading or working with cross geography teams
• Bonus Points for experience working on Unix, shell scripting & Build Systems
• Experience in performance optimization is an added advantage
POSITION
• You will be actively involved during the entire technology development lifecycle. Responsibilities will include all aspects from design, coding, testing, customer feedback cycle changes and support.
• Primary role in software development with object-oriented Java
• The customized solutions that you will be architecting and developing will also require knowledge and experience with spring / Hibernate, SOAP / REST, and SQL.
• Ability to learn new technologies quickly and willingness to read and digest large existing source code and take ownership on complex component or subsystem to drive improvements and re-architecture
• Work with a team of amazing developers and designers involved in the design and development of global platforms
• Invent and prototype new features, build, test and ship them to customers as SaaS, cloud based or hosted product platforms
• Drive the implementation of new technologies which improve our ability to build great customers products. • Participate in a fun, open learning environment with great benefits and smart talented folks that represent among the best globally.
QUALIFICATION
• A Bachelor’s degree in Computer Science (or equivalent experience)
• M-Tech or advanced degree a plus
• Hackathon participation and accolades are a plus
Job Role
Quinbay
Quinbay is an upstart digital platforms and products company with a core focus on disrupting traditional markets and business models with the strength of our innovation driven digital value. We harness the power of our open innovation culture, our unique talent selection approach, the skills and expertise of our people across various industries, domains and technologies and a unique blend of analytics driven strategies for creating future digital platforms.
OPPORTUNITIES: Pursue opportunities in and learning/growth interests in Mobile, product development, product management, Analytics, Machine learning, UI/UX design, DevOps, Automation, Drones, bots and Java / open-source development frameworks and methodologies – on a variety of domains like eCommerce, Logistics and fulfilment, Ecommerce and a whole lot other.
Opportunities to be part of fastest growing eCommerce platforms in exciting application areas like core commerce, supply chain, logistics and fulfilment, merchant, mobile commerce, analytics, automation and a lot more for the global markets positioned for Asia.
We are establishing infrastructure for internal and external reporting using Tableau and are looking for someone with experience building visualizations and dashboards in Tableau and using Tableau Server to deliver them to internal and external users.
Required Experience
- Implementation of interactive visualizations using Tableau Desktop
- Integration with Tableau Server and support of production dashboards and embedded reports with it
- Writing and optimization of SQL queries
- Proficient in Python including the use of Pandas and numpy libraries to perform data exploration and analysis
- 3 years of experience working as a Software Engineer / Senior Software Engineer
- Bachelors in Engineering – can be Electronic and comm , Computer , IT
- Well versed with Basic Data Structures Algorithms and system design
- Should be capable of working well in a team – and should possess very good communication skills
- Self-motivated and fun to work with and organized
- Productive and efficient working remotely
- Test driven mindset with a knack for finding issues and problems at earlier stages of development
- Interest in learning and picking up a wide range of cutting edge technologies
- Should be curious and interested in learning some Data science related concepts and domain knowledge
- Work alongside other engineers on the team to elevate technology and consistently apply best practices
Highly Desirable
- Data Analytics
- Experience in AWS cloud or any cloud technologies
- Experience in BigData technologies and streaming like – pyspark, kafka is a big plus
- Shell scripting
- Preferred tech stack – Python, Rest API, Microservices, Flask/Fast API, pandas, numpy, linux, shell scripting, Airflow, pyspark
- Has a strong backend experience – and worked with Microservices and Rest API’s - Flask, FastAPI, Databases Relational and Non-relational
Experience- 1 year and 2 year
Location - Navi Mumbai
Notice Period - Immediate or 15 days.
*Immediate joiners preferred.*
Job Description:
- Must be proficient in Adobe Illustrator, Photoshop, Corel Draw & other graphic tools is a must.
- Well versed with Digital Media & other Graphic Design
- Knowledge of video editing will be an added advantage
- Cultivate a solid body of work Proven graphic designing experience
- Candidates should pay attention to quality and detail.
Perks of working with us:-
1) A huge learning curve
2) Get the chance to learn Emerging Tech like ML/AI, Blockchain, VR/AR, IoT
3) Flexible working hour
4) Work from home facility
5) Work in a highly competitive environment to take your career to the next level
6) Unlimited Coffee and Snacks (If we are working at the off
Responsibilities
Designing, developing, and testing UI for mobile and web applications
Build reusable code and libraries for future use
Accurately translate user and business needs into functional frontend code
Qualifications
Bachelor's degree or equivalent in Computer Science
1+ years' experience in WordPress/frontend development
Experience building object-oriented web applications in JavaScript, HTML5, and CSS3
Experience with Shopify is a plus








