Tableau Developer

Roles and Responsiblities

•           Experience-0-6 years. (Brewery, Microbrewery, Distillery, Winery, Restobars).

•           Road Runner handling the PAN India operations. Willing to travel extensively.

•           Must Have Technical knowledge in Process & Packaging Equipments (Canning, Bottling, and Kegging & Draught Equipment’s).

•           Drives business by identifying and selling prospects and maintaining relationships with clients.

•           Expands business opportunities by identifying prospects and evaluating their position in the industry and researching and analyzing sales options.

•           Sells products and services by establishing contact and developing relationships with prospects and recommending solutions.

•           Maintains relationships with clients by providing support, information, and guidance; researching and recommending new opportunities; and recommending profit and service improvements.

•           Identifies product improvements or new products by remaining current on industry trends, market activities, and competitors.

•           Prepares reports and presentations by collecting, analyzing, and summarizing information.

•           Maintains Quality service by establishing and enforcing organization standards

•           Project planning experience (scope, schedule, cost, quality).

•           Maintains professional and technical knowledge by attending educational workshops, reviewing professional publications and other content, establishing personal networks, benchmarking best practices, and participating in professional and industry organizations.

•           Must be Target Oriented.

•           Responsible for end to end sales process with clients, throughout the project development stage, proposal stage, the final selection process, the closing, and delivery of the project.

•           Follow up to get the payment in time from the customers.

•           Strong written and verbal communication skills.(English & Hindi)

Looking for a skilled Oracle Finance Functional Analyst with hands-on experience in Oracle EBS R12 (min 2 modules) and Fusion Financials.

Key Skills:

• Strong knowledge of P2P, O2C, GL
• Proficient in SQL & ITIL processes
• Experience with Oracle EBS/Fusion support & enhancements
• Excellent communication & problem-solving skills
• Must be open to UK shifts (1:30–10:30 PM / 2:30–11:30 PM)

Good to Have:

• Oracle certification
• Experience in global support environments

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

Identify partnership opportunities

Develop new relationships in effort to grow business and help company expand

Maintain existing business

Think critically when planning to assure project success

Must have experience in International sales in IT services

JD for Project Coordinator

Ø  Familiar with project management tools -JIRA/ MS Project

Ø  Should have POS acquiring background/payments domain

Ø  Excellent Communication  skills and should be able to communicate with Vendors/banks/internal teams

Ø  Adept at presentation skills using PowerPoint, Google Slides

Ø  Result oriented Coordination leading to better productivity

Ø  Adaptable & astute

Ø  Ability to meet deadlines

Ø  Proficient in excel

Ø  Ability to build strong relationships