Tele sales Team Lead

Role & Responsibilities

Achieve Revenue and Market Share Targets:

Develop and implement effective sales strategies to meet or exceed revenue targets.

Identify and capitalize on new business opportunities to expand market share.

Customer Engagement and Relationship Management:

Identify and develop relationships with key accounts and potential customers.

Set up product demonstrations, discuss technical solutions, and manage complex negotiations to secure contracts.

Market Analysis and Strategic Planning:

Analyze market trends and competitors to identify growth opportunities.

Provide regular sales reports and forecasts to the Director of Sales, highlighting performance and strategic insights.

Cross-functional Collaboration and Seamless Execution:

Collaborate with internal stakeholders (operations, finance, customer service) to ensure seamless execution of sales plans.

Partner with customers during the initial days of product usage to ensure faster adoption and a smooth handover to account managers, ensuring a seamless customer experience.

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

•           LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

•           Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

•           Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

•           Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

•           Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

•           Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

•           Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

•           Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

•           5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

•           12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

•           Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

•           Excellent problem-solving and analytical abilities

•           Strong communication skills, both written and verbal

•           Ability to thrive in a collaborative and fast-paced environment

We are looking for an energetic and fun individual to join our team as a Digital Marketing Intern!

The successful intern will be able to learn different Digital Marketing solutions such as Search Engine Marketing, Google Ads, Facebook Ads, Social Media Marketing, Content Creation, SEO and more.

Job Title: Digital Marketing Internship

Job Type: Full Time

Education: Bachelor's (Preferred)

Stipend: ₹ 4000 - ₹ 6000 per month

Duration: 3 Months

Location: Yashoda Nagar Kanpur

We are seeking an experienced Senior Java Developer specializing in Spring Boot and Apache Camel to join our team. This individual will be responsible for designing, developing, and implementing robust, scalable, and high-performance applications. You will work on complex projects and integrations, leveraging Spring Boot and Apache Camel to streamline business processes and message routing.

Key Requirements:

• 5+ years of experience in Java Development, specifically with Spring Boot.
• Proven experience in using Apache Camel for integrating distributed systems.
• Solid understanding of microservices architecture and RESTful API development.
• Proficiency in Java-based middleware technologies.
• Strong knowledge of message queues (e.g., RabbitMQ, ActiveMQ, Kafka) and their integration with Apache Camel.
• Experience with cloud services such as AWS, Azure, or GCP is a plus.
• Familiarity with CI/CD pipelines and automated deployment processes.
• Experience with Agile development methodologies.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, both written and verbal.

Bonus Skills:

• Experience with Docker and Kubernetes for containerization and orchestration.
• Knowledge of Apache Kafka for event streaming.
• Experience with modern development tools like Git, Jenkins, and JIRA.

What We Offer:

• A dynamic and collaborative work environment.
• Opportunities for career advancement and skill development.
• Flexible working hours and the ability to work remotely.
• Competitive salary and benefits.

Experience : 9 years to 12 years

Shift Timings : 5 PM to 2 AM

Location- Hyderabad 

Requirement:

• Minimum 9 years total IT experience, preferably in SAP HCM.
• Minimum 5 years of experience in design and configuration of SAP CA Payroll.
• Must have 2-3 full life cycle implementations for SAP/EC CA Payroll.
• Should have worked as an SME for CA payroll.
• Payroll catalog definition including wage type definition and configuration
• Third party remittance
• Off cycle payroll definition and processing
• Pre-DME and DME
• Garnishments definition, reporting and management
• Hands-on with pay statements, Taxation, YE adjustments and Tax forms (Adobe and Mag Media)
• Benefits configuration and Integration with 3rd party systems
• Detailed knowledge and understanding of integration with Compensation and Time Management
• Experience in creating and defining custom operations and rules
• Experience with year-end activities and support packs implementation and legal changes
• Sound knowledge in HR-FI integrations and reporting.
• Excellent written and verbal communication skills
• Willing to work US Hours Shift
• Excellent written and verbal communication skills