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JoVE is the world-leading producer and provider of science video solutions with the mission to improve scientific research and education. Millions of scientists, educators, and students use JoVE for their research, teaching, and learning. Our institutional clients comprise over 1,000 universities, colleges, and biopharma companies, including such leaders as Harvard, MIT, Yale, and Stanford. As a rapidly growing company, with offices in the USA, UK, Australia, and India servicing clients in over 60 countries, we are seeking talented and ambitious individuals to join our company.

The Role

We are seeking a dynamic and innovative Marketing Specialist with a passion for the biopharma sector. This role will focus on promoting JoVE’s unique solutions to biopharma companies. The ideal candidate will have a proven track record in B2B marketing, particularly within the life sciences, and will excel in creating content and executing lead-generation marketing campaigns that resonate with biopharma audiences.

Responsibilities

• Develop and execute marketing strategies tailored to biopharma companies
• Design and implement multi-channel marketing campaigns, including email marketing, social media, and paid ads to drive lead generation and audience engagement
• Create completing content for case studies, newsletters, blogs, social media, ads, and email campaigns
• Collaborate with the sales and product teams to align marketing initiatives with business goals
• Engage with industry professionals through events, webinars, and strategic partnerships to expand JoVE’s presence in the biopharma market
• Organize and deliver webinars and events at conferences
• Analyze marketing performance data and leverage insights to optimize strategies. Monitor KPIs such as lead generation, engagement, and conversion rates, providing actionable recommendations for improvements

Requirements

• A Bachelor’s degree in business, marketing, or life sciences
• 5+ years of experience in B2B marketing with a strong focus on the biopharma sector
• Strong understanding of the biopharma industry, including R&D processes and market trends
• Proficiency in marketing automation tools (such as HubSpot)
• Experience with Salesforce and B2B prospecting tools, such as LinkedIn Sales Navigator
• Excellent written and verbal English communication skills
• Strong analytical and problem-solving skills

Why Join JoVE?

• When working with JoVE, you can expect a compensation package competitively placed within the local market.
• You will make a direct impact in accelerating science research and in improving student learning in science education.
• Opportunity to work with global teams and in an environment that promotes innovation and collaboration.
• Our strong promotion from within culture draws a clear path to advance your career with us.

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

Job Description:

Role: Data Scientist

Responsibilities:

 Lead data science and machine learning projects, contributing to model development, optimization and evaluation. 

 Perform data cleaning, feature engineering, and exploratory data analysis.  

Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.

Collaborate with other DS and engineers to deliver projects.

Technical Skills – Must have:

Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.

Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.

Ability to translate complex machine learning problem statements into specific deliverables and requirements.

Should have worked with major cloud platforms such as AWS, Azure or GCP.

Working knowledge of SQL and no-SQL databases.

Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.

Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.

Strong understanding of evaluation and monitoring metrics for machine learning projects.

Roles and Responsibilities

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes

Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY.

The Sales Development Representative at Zenoti generates and qualifies sales leads through market research, cold calling and other lead generation tools. The Sales Development Representative coordinates with the sales team to ensure successful connections with prospective customers, actively pursues existing leads, and helps process leads from mailers campaigns and other marketing efforts, as well as trade shows and other events.

What will I be doing?

• You will work with the sales and lead generation teams to source new sales opportunities
• Perform inbound lead follow-up, and outbound prospecting/cold calling
• Create and qualify opportunities by understanding customer needs and requirements
• Research accounts, identify and build relationships with key decision makers and generate interest
• Maintain and expand a database of prospects
• Team with channel partners to build sales pipeline and close deals
• Assess, qualify and transfer leads to the appropriate Account Executive for a formal sales presentation

Skills & Qualifications

• Bachelor’s Degree preferred (or equivalent professional experience)
• Mandatory 3+ Demonstrated experience in inside sales, sales, or lead generation, preferably within the SaaS industry
• Strong phone presence and experience dialing high volume of calls per day
• Very strong interpersonal and communication skills
• Business acumen, to understand the landscape of the opportunity, and the needs of prospective customers
• Ability to conceptualize and explain complex concepts in a clear and compelling way
• Ability to multi-task, prioritize and manage time effectively and independently
• Must have knowledge of social networking sites and popular business directories
• Experience in the salon, spa, medical spa, or fitness industry a plus

Technical Solutions Specialist, App

• Understanding of products’ integration flows from a technical and sales perspective
• Work with the internal stakeholders in Criteo to understand client business objectives
• Providing feedback to our internal and/or client’s engineering team
• Be responsible and have ownership for the designed end to end solution’s projects
• Work in a fast-paced innovative environment and be cool under pressure
• Thrive when confronted with complex problems that require innovative solutions
• Act as a Subject matter expert on App related queries
• Leverages technical knowledge of products to meet customer needs
• Participate with the wider global team to improve and develop new tools and processes.
• Play a leading role in the testing and deployment phases of new products and customized solutions for our app business.
• Proactive development of tools and solutions that will have an impact on our campaign performance or set up to support the growth of our South APAC team
• Provide guidance to other team members on areas of expertise
• Identify bugs, report them, and work close to our internal teams for resolution

Who You Are

• Engineering background with a computer science-related degree
• Fluent in spoken & written English
• Experience with ad technology is a strong advantage, though not mandatory
• Experience in developing or reviewing/debugging code for mobile apps, ideally on both iOS and Android
• Experience with development and/or debugging MMP partner SDK's like AppsFlyer, Branch etc. will be a big plus
• Other web programming languages is a plus (JavaScript, HTML, …)
• Strong interpersonal and communication skills across all levels of interlocutors
• Ability to work on multiple projects at once, prioritize and execute a large number of tasks, and resolve issues quickly
• Proactivity associated with a “can do” way of working
• Problem-solving and a positive attitude in a fast-paced environment
• Autonomous personality and interested in taking initiatives and leading on projects
• Team spirit oriented, sharing best practices, and open to train other team members
• Attention to detail to act as a consultant and be reactive in front of any potential situations
• Passion for new media, internet trends, and continual learning

CloudQA is a bootstrapped SaaS startup based out of Hyderabad. Our web application testing tools have unique technology to perform rapid test case discovery, codeless testing, and cloud execution which makes enterprise web application end to end testing easy to use and adapt.

We're looking for a Test Automation Engineer with good communication skills and 2+ years of QA experience in Selenium IDE and Webdriver. He / She should be agile to learn new things and be a good team player.

Requirements

• Overall 2+ years of experience in software testing and test automation using selenium Webdriver and Selenium IDE
• Experience in QA methodology
• Expertise in testing and debugging skills
• Ability to document and troubleshoot errors
• Good understanding of Agile methodology
• Excellent Communication and email writing skills
• Analytical mind and problem-solving aptitude
• Ensure deliverables are on time and of high quality
• Understanding of CI/CD tools like Jenkins, TravisCI
• Using JIRA tool and creating the tickets
• If required should be ready to work in US time zone to meet the client needs

Responsibilities

• Automate test cases for different applications using CloudQA tool
• Help the team to analyze incoming requests through recreate customers environment/issues
• Assure and test provided fixes and patches
• Automate routine
• Process non-standard requests if needed
• Writing JavaScript(s)
• Own client[US/UK] interaction, manage client and requests
• Maintain test suite for CI/CD Pipelines