Category head

Strong sales executive profile

Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory (Company): B2B SaaS Product companies

Mandatory(Exclusion) : Profiles with Only EdTech background will not be considered.Preferred (Consultative Selling): Strong listening skills with the ability to understand client business challenges and position SaaS solutions accordingly.

Role & Responsibilities

Create accurate and high-quality artwork for print and digital formats.

Work within client brand guidelines to ensure consistency and accuracy in all designs.

Develop scientific posters, packaging, brochures, and marketing materials.

Manage workload effectively within agreed timelines, including tight deadlines and fast turnarounds.

Review, update, and finalize design files, ensuring quality and adherence to brand standards.

Monitor artwork quality throughout the design process and proactively resolve any inconsistencies.

Collaborate with cross-functional teams, including designers, marketing, and project leads.

Work on multiple projects simultaneously while maintaining attention to detail and organizational efficiency.

Responsibilities

• Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models
• Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes
• Automate the training, testing and deployment processes for machine learning models
• Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability
• Implement best practices for version control, model reproducibility and governance
• Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness
• Troubleshoot and resolve issues related to model deployment and performance
• Ensure compliance with security and data privacy standards in all MLOps activities
• Keep up to date with the latest MLOps tools, technologies and trends
• Provide support and guidance to other team members on MLOps practices

Required Skills And Experience

• 3-10 years of experience in MLOps, DevOps or a related field
• Bachelors degree in computer science, Data Science or a related field
• Strong understanding of machine learning principles and model lifecycle management
• Experience in Jenkins pipeline development
• Experience in automation scripting

• Review code and assign claims to diaries as needed.
• Act as a point of contact for field in investigation and examine and investigate details of claim.
• Determine required reserves and place on claims in accordance with the delegation of authority.
• Corresponds with claimant and witnesses, also consult with police, hospital records, and with other experts as part of the claim’s investigation and settlement process.
• Negotiates claims and settlement for claims with required approvals as required by the delegation of authority.
• Submit claims to TPA per requirements including litigated claims and provide all required documentation to TPA and legal department.
• Communicate any trends or opportunities for correction at field locations to supervisor or safety and loss prevention personnel.
• Complete reports or other analysis as directed.
• Engage with internal teams and external customers in alignment with the company’s mission, values, and diversity principles.

Company Profile

Jamboree is the oldest institute in India and the best of its kind, which offers comprehensive classroom and online preparation programs for GMAT®, GRE®, SAT®, ACT®, TOEFL™, and IELTS™. Jamboree has 39 centers in 22 cities of 2 countries including India and Nepal. Each center follows a uniform curriculum and has outstanding faculty, all of whom are trained at our head office. Each center offers the same teaching standards and syllabus.

https://www.jamboreeindia.com/

Work schedule: 6 days working including weekends. 11 AM - 8 PM ( Weekdays ) 10 AM - 8 PM ( Weekends )

1 weekday off

Job Description

Counseling the students over the study abroad options & training products of Jamboree.

Being a part of the Inside sales team, the incumbent will be required to ensure maximum on-spot closures from the prospective leads.

Making outbound calls on all the prospective leads generated through various sources.

Meeting weekly/monthly/annual sales targets.

Regular follow-ups with students and parents.

Timely updation of MIS and other dashboards

Desired Candidate Profile

Should have experience working in Education sector in a sales oriented profile where s/he was responsible for admissions/enrollment targets.

Should be comfortable working in a target-oriented role.

Willing to learn, sales acumen, good with numbers.

Self-starter, self -motivated.

Desired Candidate Profile

• Key Technical Skills: Deep experience on Performance Engineering with understanding of Java/J2EE technologies.
• Experienced in defining and realizing end-to-end Technical Architecture for large scale real- time enterprise systems. Ability to identify and define non-functional requirements and design systems to meet the same. 
• Ability to review existing Architectures and identify Risks, Trade-offs, and share recommendations for addressing the identified issues.
• Demonstrate strong understanding of cloud architecture considerations when scaling and tuning application deployments. Must have hands on experience working on any of the Cloud deployments on AWS or Azure. 
• Good experience on leveraging APM tools to provide deep dive analysis on performance problems. Deep understanding of the dashboards which can be built for CIO level interactions. Must have relevant experience on APM tools like Dynatrace or AppDynamics. 
• Experience in performance optimization of J2EE systems on any of different types of application servers - WebLogic, WebSphere, JBoss etc. Deep expertise in any one of the application servers is a must.
• Experience in creating and reviewing technical documents like Architecture blueprint, Design specifications, Deployment architecture.
• Experience on working on Performance Testing Projects. Fair understanding of Performance Testing tools - Apache JMeter /Gatling/ HP Load Runner for Load testing. Must be in a position to review Performance Testing programs and steer directions towards right Workload Model, appropriate Test and Monitoring Strategy, build performance models and derive at right Capacity Planning. 
• Experience in Big Data Analytics like - Apache Kafka, Apache Storm, Apache Hadoop, Apache Spark.
• Good skills in RDBMS like: Oracle, MS-SQL, MySQL, Cassandra, and Mongo DB 
• Exposure to Agile methodologies & Continuous Integration Tools 
• Entrepreneur / Intrapreneur (someone who has built technology teams ground-up, built new solutions from scratch) 
• Very sound understanding of technology and have a consultative approach. 
• Sound understanding of complex enterprise IT environment and issues faced by CIOs in the digital era. 
• Excellent Pre-sales experience and have played a key role in winning business along with the sales team. 
• Excellent communication, interpersonal, liaison and problem-solving skills with the ability to work in a multi-cultural environment 
• Good negotiation skills
• Go getter and results oriented 
• High energy level with ability to work well under pressure 
• Good relationship building skills. Someone who enjoys CIOs trust and has an ability to develop relationships at all levels (technology teams) of the customer organization.