Noida, Uttar Pradesh, India
None Not disclosed
On-site
Full Time
Company Description Since its foundation in 2002, Spark Technology Group Inc has been providing top-notch hosted IVR and integration services. In 2009, Spark TG Info Pvt. Ltd. was established as one of the first cloud telephony platform providers in India. With over 22 years of experience in IVR development, the Spark TG team excels in delivering excellent user experiences and can handle more than a million calls daily. Our key service areas include custom advanced inbound/outbound IVR, contact center solutions, natural language understanding, voice-enabling websites, content management systems, data transformation, and legacy system integration. Role Description This is a full-time on-site role for a Sales Executive, located in Noida. The Sales Executive will be responsible for identifying and pursuing new sales opportunities, maintaining customer relationships, achieving sales targets, and overseeing customer service. They will also be responsible for conducting sales presentations, managing client accounts, and providing training to customers on products and services. Qualifications Strong Communication and Customer Service skills Experience in Sales and Sales Management Aptitude for Training clients on products and services Excellent interpersonal and relationship-building skills Ability to work on-site in Noida Bachelor's degree in Business, Marketing, or related field preferred
Noida, Uttar Pradesh, India
None Not disclosed
On-site
Full Time
Job Title: Machine Learning Engineer Location: Noida Job Type: Full-Time Experience: 2 years + About SparkTG SparkTG is a leading provider of cloud communication solutions, empowering businesses with seamless and intelligent customer interactions. We specialize in IVR, WhatsApp Business API, Call Masking, and more, leveraging AI and automation to enhance customer experiences. Job Summary We are seeking a highly skilled Machine Learning Engineer who has proven experience in training Local Models like llama to join our team. You will be responsible for developing, deploying, and optimizing machine learning models to enhance our AI-driven communication solutions. Your expertise in AI, NLP, and deep learning will play a crucial role in improving customer interactions and automation within SparkTG’s product ecosystem. Key Responsibilities Design, develop, and deploy machine learning models for NLP, speech recognition, and predictive analytics. Collaborate with software engineers and data scientists to integrate ML models into our products. Optimize AI-driven customer engagement solutions, including chatbots and conversational IVRs. Work with large datasets to extract insights and improve model performance. Continuously improve algorithms to enhance user experience and accuracy. Stay updated with the latest trends in AI, ML, and NLP to incorporate best practices. Monitor model performance and troubleshoot issues in real-world applications. Requirements Bachelor's/Master’s degree in Computer Science, AI, Data Science, or a related field. 2+ years of experience in developing machine learning models. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with NLP, speech recognition, and deep learning techniques. Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying ML models. Familiarity with big data technologies and real-time data processing. Strong problem-solving and analytical skills. Ability to work independently and collaboratively in a fast-paced environment. Preferred Qualifications Experience in developing AI-powered chatbots or voice assistants. Familiarity with MLOps and model deployment pipelines. Understanding of reinforcement learning and recommendation systems. Why Join SparkTG? Opportunity to work on cutting-edge AI and ML applications. A collaborative and innovative work environment. Competitive salary and benefits. Career growth and learning opportunities in the AI space. How to Apply: Interested candidates can send their resumes to hr@sparktg.com with the subject line “Application for Machine Learning Engineer” .
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