data engineer

Franchisee Onboarding 

• Identify potential mobile retailers in alignment with business goals and convince them to onboard as franchise partners. 

• Ensure new franchise partners understand the product offerings, sales process, and operational procedures. 

• Take ownership of the completion of the onboarding process for finalized franchise partners, ensuring all necessary documentation and agreements are processed accurately. • Develop and maintain strong, lasting relationships with new franchise partners, offering guidance and support throughout the onboarding journey. 

• Follow up with franchise partners to ensure they comply with payment terms and resolve any concerns or delays in payment. 

Sales Performance 

• Achieve and consistently exceed sales targets for the assigned region. 

• Manage and monitor sales performance across multiple stores. 

• Prepare and execute the assigned sales plan, including store-wise targets, stock forecasting, order planning, brand placement, and inventory management for the assigned stores. 

Partner Relationship Management & Partner Retention 

• Build and maintain strong, long-term relationships with partners, addressing their needs and ensuring satisfaction. 

• Serve as a bridge between management and partners, ensuring open communication and addressing concerns, grievances, or issues effectively. 

• Actively engage with partners to understand their business needs and identify opportunities for growth. 

• Ensure partner retention by providing consistent support and aligning with their business goals.

Education Qualification:

Bachelor’s / Masters / Post Graduate Diploma in Business Management  

Work Experience & Skills:  

4+ years

Role Overview:

We are hiring experienced Wealth Relationship Managers to manage and grow HNI/UHNI client portfolios. The role involves driving investment product sales and providing holistic wealth solutions.

This is an individual contributor role focused on revenue generation and client acquisition.

Key Responsibilities:

• Acquire and manage HNI/UHNI clients
• Drive sales of:
• Mutual Funds
• PMS (Portfolio Management Services)
• AIF (Alternative Investment Funds)
• Structured Products
• Bonds & other Wealth Products
• Cross-sell and up-sell investment solutions based on client profiling
• Build and maintain long-term client relationships
• Achieve revenue and AUM targets
• Ensure compliance and documentation adherence

Eligibility Criteria:

• Experience: Around 8 years in Wealth / Investment Advisory / Stock Broking / Banking
• Strong exposure to investment product sales
• Proven track record in revenue generation & AUM build-up
• Strong HNI client base preferred

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Job profile- Oracle _ Solution Architect
Experience – 6+ years
Location- Bangalore/ Chennai/ Pune/ Noida
Salary- 30 LPA
Qualification- Any
Job Location- Bangalore/ Chennai/ Pune/ Noida
Key Skills- Oracle ERP cloud solutions, Rollout or implementation, Oracle EBS
Roles & Responsibilities-

• Solution architect experience in the delivery of Oracle ERP cloud solutions, leading the design and implementation of Oracle ERP Cloud Solutions across a range of client industries and leading customer engagements and advising on Oracle fusion related topics.
• Strong hands-on experience with Oracle Cloud ERP solution architectures, design, rollout and implementation leadership.
• 8 years minimum experience in Oracle EBS and Oracle ERP Cloud with the majority of recent experience in Oracle Fusion (Cloud) applications.
• Minimum 4-6 years of experience in Oracle cloud solution implementation. Recent experience in a lead role in at least 2 full ERP Cloud implementations

•  4-8 years of relevant experience in designing & developing and architecting systems/software
• for large business environments (Java, J2EE).
• • Strong design and coding skills in Enterprise Java, Hibernate, Spring, Spring Boot, REST web
• services, JMS (ActiveMQ), XML, JSON.
• • Must have good experience in Unix/Oracle/SQL.
• • Experience in any communication framework (MQ) is an added advantage.
• • Experience in Agile Development, Scrum, and Iterative approaches
• • Participate in requirement gathering JAD sessions and support documentation

We at Spiral Dev Apps are looking for a Android Developer who can lead the full project of android app, right from initializing the app from scratch and putting it on the Play store. Can do attitude in startup environment is a must Quality that we look for, You need to find answers on your own without handholding.

Skills Required:
• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes.
• An Android app developer must be well-versed with the Java programming language.
• Strong knowledge of Android UI design principles, patterns, and best practices
• Having knowledge about offline storage, threading, and performance

Profile: Android Developer
Experience: 1 to 5 years
Immediate joiner preferred
Excellent Communication Skills
Good salary hike