Planning, Daily Stand-ups, Sprint Reviews, Sprint Refinements, and Sprint
Retrospectives.
Assist Product Owners, Development, Data, and IT teams with backlog refinement
and prioritization.
Review and maintain adherence to company-defined Definitions of Ready and
Done.
Facilitate the teams' abilities to develop in a consistent and creative manner.
Protect teams from scope creep and maintain sprint goals.
Remove impediments for teams.
Perform the role of Scrum Master for multiple scrum teams.
Keep appropriate stakeholders up-to-date with the latest information on highpriority incidents through timely and regular written and verbal communications.
Identify and track internal and external dependencies.
Ensure that appropriate Scrum artifacts are accurate and visible, including progress
tracking through charts and views in JIRA.
Measure, track and help teams improve metrics through continuous improvement.

About BETSOL
About
Company video


Connect with the team
Similar jobs
Job Title: (Generative AI Engineer Specialist in Deep Learning)
Location: Gandhinagar, Ahmedabad, Gujarat
Company: Rayvat Outsourcing
Salary: Upto 2,50,000/- per annum
Job Type: Full-Time
Experience: 0 to 1 Year
Job Overview:
We are seeking a talented and enthusiastic Generative AI Engineer to join our team. As an Intermediate-level engineer, you will be responsible for developing and deploying state-of-the-art generative AI models to solve complex problems and create innovative solutions. You will collaborate with cross-functional teams, working on a variety of projects that range from natural language processing (NLP) to image generation and multimodal AI systems. The ideal candidate has hands-on experience with machine learning models, deep learning techniques, and a passion for artificial intelligence.
Key Responsibilities:
· Develop, fine-tune, and deploy generative AI models using frameworks such as GPT, BERT, DALL·E, Stable Diffusion, etc.
· Research and implement cutting-edge machine learning algorithms in NLP, computer vision, and multimodal systems.
· Collaborate with data scientists, ML engineers, and product teams to integrate AI solutions into products and platforms.
· Create APIs and pipelines to deploy models in production environments, ensuring scalability and performance.
· Analyze large datasets to identify key features, patterns, and use cases for model training.
· Debug and improve existing models by evaluating performance metrics and applying optimization techniques.
· Stay up-to-date with the latest advancements in AI, deep learning, and generative models to continually enhance the solutions.
· Document technical workflows, including model architecture, training processes, and performance reports.
· Ensure ethical use of AI, adhering to guidelines around AI fairness, transparency, and privacy.
Qualifications:
· Bachelor’s/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
· 2-4 years of hands-on experience in machine learning and AI development, particularly in generative AI.
· Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or similar.
· Experience with NLP models (e.g., GPT, BERT) or image-generation models (e.g., GANs, diffusion models).
· Strong knowledge of Python and libraries like NumPy, Pandas, scikit-learn, etc.
· Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI model deployment and scaling.
· Familiarity with APIs, RESTful services, and microservice architectures.
· Strong problem-solving skills and the ability to troubleshoot and optimize AI models.
· Good understanding of data preprocessing, feature engineering, and handling large datasets.
· Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
Preferred Skills:
· Experience with multimodal AI systems (combining text, image, and/or audio data).
· Familiarity with ML Ops and CI/CD pipelines for deploying machine learning models.
· Experience in A/B testing and performance monitoring of AI models in production.
· Knowledge of ethical AI principles and AI governance.
What We Offer:
· Competitive salary and benefits package.
· Opportunities for professional development and growth in the rapidly evolving AI field.
· Collaborative and dynamic work environment, with access to cutting-edge AI technologies.
· Work on impactful projects with real-world applications.

Job Description:
We are looking for a skilled and experienced Senior Magento Developer to join our dynamic team. The ideal candidate should have a strong background in Magento development, particularly in backend customizations, plugin integrations, and API integrations. You will work closely with clients and internal teams to deliver high-quality, customized Magento solutions.
Key Responsibilities:
- Magento Backend Customization: Design and implement custom features, modules, and extensions based on project needs.
- Plugin Integration & Customization: Integrate and customize third-party plugins to meet specific client requirements.
- REST API Development: Develop, customize, and maintain RESTful APIs for various integrations.
- 3rd Party Integrations: Implement seamless integrations with third-party platforms such as ERP, CRM, payment gateways, and other systems.
- Frontend Development: Work on Magento’s frontend including theme development, design adjustments, and user interface enhancements.
- Theme Customization: Customize Magento themes to deliver high-quality, responsive web designs.
- Checkout Customizations: Develop and customize Magento checkout workflows to improve user experience and cater to specific client needs.
- WordPress Installation & Configuration: Set up, configure, and maintain WordPress installations as per project requirements.
- WordPress Customization: Customize WordPress themes, plugins, and integrations to suit client specifications.
- 3rd Party Integrations on WordPress: Implement third-party services such as payment gateways, CRMs, and other integrations within WordPress.
- Client Communication: Engage directly with clients to understand their requirements, provide technical guidance, and offer solutions.
- Collaboration: Work closely with project managers, designers, and other developers to ensure timely and efficient project delivery.
Skills and Qualifications:
- 5-7 years of hands-on experience in Magento development, including both Magento 1 and Magento 2 platforms.
- Strong knowledge of PHP, HTML, CSS, JavaScript, and MySQL.
- Proven experience with backend customizations and plugin integrations.
- Expertise in building and consuming REST APIs.
- Experience in 3rd party integrations (ERP, CRM, Payment Gateways, etc.).
- Competency in frontend development and theme customizations.
- Solid understanding of Magento checkout process and its customizations.
- WordPress installation, configuration, and customization expertise.
- Strong communication skills with the ability to interact with clients and stakeholders.
- Ability to work independently, manage time efficiently, and demonstrate initiative as a self-starter.
- Must be prompt, detail-oriented, and committed to delivering quality solutions on time.
Bonus Skills:
- Magento certification(s).
- Experience with Magento Commerce/Cloud editions.
- Knowledge of Docker, Git, and other modern development tools.
Why Join Us?
- Opportunity to work on exciting projects with diverse clients across different industries.
- Competitive salary and benefits package.
- Collaborative and innovative work environment.
- Opportunities for career growth and professional development.
If you are a passionate Magento developer with a proven track record of delivering custom solutions, we'd love to hear from you!


Responsibilities:
● Collaborate with the team to solve problems and build innovative products planned per the Sprints.
● Utilize your in-depth understanding of programming languages and tools to develop solutions using Java, Spring-boot, ReactJS, Redux, SQL, and AWS.
● Design the low level system architecture to meet business requirements.
● Develop core back-end and front-end infrastructure.
● Stay updated with emerging technologies and industry trends.
Skills:
● Proficiency in Java and React.
● Experience in full stack development.
● Strong problem-solving skills.
● Familiarity with data science concepts (preferred).
● SQL skills are a must.
The ideal candidate must have:
● B. Tech. from top-tier engineering colleges (BITS/IITs/ NITs/ IIITs/ DTU/ NSIT).
● 2+ years of experience in full stack development.
● Startup Cultural Fit: willingness to learn, innovate, take the initiative, to think beyond conventional dogma.
● Willingness to work from our Head office - Koramangala, Bengaluru.
Job Description Roles and Responsibilities
1. Create and implement email marketing campaigns to drive customer engagement, sales, and retention
2. Develop creative and engaging content for emails, including subject lines, email copy, and CTAs
3. Conduct A/B testing and analysis to optimize email campaigns for the best results
4. Manage and segment our email lists to ensure targeted and personalized communications
5. Collaborate with other marketing team members to align email campaigns with broader marketing strategies
6. Monitor and report on email marketing performance metrics, including open rates, click-through rates, conversion rates, and unsubscribe rates
7. Stay up-to-date with industry trends and best practices in email marketing
Role: Account Manager
• Setting sales goals and developing sales strategies
• Researching prospects and generating leads
• Contacting potential and existing customers on the phone, by email, and in-person (Field Visits)
• Handling customer questions, inquiries, and complaints
• Preparing and sending quotes and proposals
• Managing the sales process through specific software programs
• Building and maintaining a CRM database
• Meeting weekly, and monthly sales targets
• Participating in sales team meetings
Benefits:
•We offer an attractive variable portion. Incentives on each & every sale.
•Adequate responsibilities from Day 1.
•Be the owner of your own learning curve.
*Bike is mandatory, laptop preferred
- Produce clean code and automated tests
- Align with enterprise architecture frameworks and standards
- Be the role-model for all engineers in the team in terms of technical competency
- Research, assess and adopt new technologies as required
- Be a guide and mentor to the team members and help in ramping up the overall skill-base of the team.
- Produce detailed estimates and optimized work plans for requirements and changes
- Ensure that features are delivered on time and that they meet the business needs
- Strive for quality of performance, usability, reliability, maintainability, and extensibility
- Identify opportunities for process and tool improvements
- Use analytical rigor to produce effective solutions to poorly defined problems
- Follow Build to Ship mantra in practice with full Dev Ops implementation
- 10+ years of core software development and product creation experience in CPaaS.
- Working knowledge in VoIP, communication API , J2EE, JMS/ Kafka, Web-Services, Hadoop, React, Node.js, GoLang.
- Working knowledge in Various CPaaS channels - SMS, voice, WhatsApp, RCS, Email.
- Working knowledge of DevOps, automation testing, test driven development, behavior driven development, server-less or micro-services
- Experience with AWS / Azure deployments
- Solid background in large scale software development.
- Full stack understanding of web/mobile/API/database development concepts and patterns
- Exposure to Microservices, Iaas, PaaS, service mesh, SaaS and cloud native application development.
- Understanding of Agile Scrum and SDLC principles.
- Containerization and orchestrations:- Dockers, kuberenetes, openshift, consule etc.
- Knowledge on NFV (openstack, Vsphere, Vcloud etc)
- Experience in Data Analytics/AI/ML or Marketing Tech domain is an added advantage


o Convert machine learning models into APIs for applications accessibility
o Running machine learning tests and experiments
o Implementing appropriate ML algorithms
o Creating machine learning models and retraining systems
o Study and transform data science prototypes
o Design machine learning systems
o Research and implement appropriate ML algorithms and tools
o Train and retrain systems when necessary
o Test and deploy models
o Use AI to empower the company with novel capabilities
o Designing and developing machine learning and deep learning system
o Outstanding analytical and problem-solving skills
• Alexa
o Excellent in Python programming
o Experience with AWS Lamda
o Experience with Alexa skills
o Alexa skill directives
o Excellent in NodeJS programming
o Experience with GCP - Dialog Flow and Actions on Google
o Using built-in intents and developing custom intents
o API integration and Postman knowledge
Job Description
• Manage all traditional and digital marketing efforts to explore different markets across the world.
• Manage content development for website, blogs, social media and other marketing artifacts.
• Willing to take up target and responsibilities.
Should be able to understand manage and interpret customer requirements
• Work with team to develop proposals that speaks to the client’s needs, concerns, and objectives
• To meet prospect clients and give presentations on company’s product and services to clients
• Screen potential business deals by analyzing market strategies, deal requirements, potential, and commercials
• Executing sales plans devised by the management / contributing towards the growth of business revenue
• Establish good relationship with prospective clients, closures of sales for revenue generation
• Sending daily reports regarding the outcome of the meeting with clients
• Developing and implementing comprehensive digital marketing programs in line with brand plans and business priorities
• Working with content marketing and design teams to create suitable content for each stage of a customer’s digital journey
• Reviewing and optimizing the design and content of all online assets including the company website and social media pages
• Planning and control of the digital marketing budget and spend by allocating budgets to different channels
• Analyzing the results and effectiveness of campaigns to deliver actionable insights and recommendations and generating monthly reports on the digital marketing portfolio.


