Customer Support executive

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 3+ years

Skills Required - Radiology, visual images, text, classical model, LLM multi model

JOB DESCRIPTION

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 HR Executive to support our Human Resources department. You will act as the first point of contact for HR-related queries from employees and external partners. (Exp. 2-3 years, Male candidate only)

Duties include maintaining personnel records, managing HR documents (e.g. employment records and onboarding guides) and updating internal databases.

Ultimately, you should be able to ensure our HR department supports our employees while conforming to labor laws.

Responsibilities:

- Recruiting candidates as per the requirement and in provided deadline.

- Experience in handling Payroll & preparation of all challans (ESI, PF, PT, LWF) & reports.

Organize and maintain personnel records.

- Update internal databases (e.g. record sick or maternity leave) & keep track of relevant employee information (e.g. leaves of absence, sick days and work schedules).

- Prepare HR documents, like employment contracts and new hire guides.

- Revise company policies.

- Create regular reports and presentations on HR metrics (e.g. turnover rates).

- Answer employees queries about HR-related issues, process day to day expense.

- Conduct Employee engagement activity & participate in HR projects.

- Develop and carry out an efficient documentation and filing system.

 As a Sales Development Representative (SDR), you will be responsible for supporting the sales team by identifying, prospecting, and qualifying potential clients. This entry-level role is ideal for someone with 1-2 years of experience in sales development or customer-facing roles, who is looking to grow their career in SaaS sales. This position offers a fantastic opportunity to learn about SaaS sales processes, sharpen outreach skills, and build relationships with industry professionals. This position involves regular client interaction, both virtually and in-person, and requires travel. The day-to-day

Lead Generation and Outreach

● Research potential clients within target industries and initiate contact via email, phone, and social media channels.

● Qualify inbound and outbound leads based on initial criteria to identify high-potential opportunities for the sales team.

● Conduct discovery calls to understand prospect needs and determine fit with jhana.ai’s offerings. Pipeline Management

● Keep CRM records(e.g., Salesforce, HubSpot) updated with lead information, activities, and progress.

● Ensure timely follow-up with prospects and manage the lead handoff process smoothly with Account Managers.

Support Sales Strategy

● Work closely with the SDR team to align on messaging and outreach strategies that resonate with our ideal customer profiles (ICPs).

● Attend weekly meetings and actively participate in brainstorming and strategic discussions. Performance Tracking &Reporting

● Track personal outreach metrics (e.g., emails sent, calls made, meetings set) and meet or exceed weekly/monthly targets.

● Share insights from prospect interactions to help refine sales messaging and improve lead qualification criteria.

Qualifications & Skills

● Experience: 1-2 years in an SDR, customer service, or other client-facing role, ideally within the SaaS or technology industry.

● Strong Communication Skills: Excellent verbal and written communication skills with an ability to connect with people and convey value concisely.

● Adaptability and Resilience: Able to handle a fast-paced environment and manage constructive feedback, with a positive, solutions-oriented mindset

● Curiosity and Willingness to Learn: Strong interest in understanding customer needs and learning the sales process in depth.

● Organizational Skills: Ability to prioritize tasks effectively, manage time efficiently, and keep track of multiple interactions and leads.

● Tech-Savvy: Basic familiarity with CRM systems (e.g., Salesforce, HubSpot) and sales engagement tools (e.g., Outreach, SalesLoft). Comfortable with learning and using new software.

● Team Collaboration: Willingness to work closely with Account Managers, other SDRs, and Marketing to share insights and align on lead qualification strategies.

● Self-Motivated and Goal-Oriented: Driven to achieve targets, with a proactive approach to managing outreach and follow-up activities

. ● Understanding of SaaS Sales (Preferred): Basic knowledge of SaaS sales cycles and customer pain points, especially within legal or tech industries, is a plus.

Job Description:

We are looking for an experienced developer to be a part of our growing team. You will be working here to create, design and develop software for both web and mobile applications using Node js.

Skills to be required:

1. To design, develop and maintain Scalable web applications using node js.
2. Collaborate with front-end developers on the integrations of elements.
3. To write Reusable, testable and efficient code.
4. working closely with front-end developers to integrate user-facing elements with server-side
5. Implement security and data protection measures.
6. Perform code reviews, debug and improve applications for performance.

 Responsibilities:

1. Proven experience for 2-4 years of experience as a Node.js Developer
2. Proficiency with front-end technologies like HTML,CSS, Javascript and React js
3. Experience with RESTful API Development
4. Knowledge of database systems like MongoDB and Mysql
5. Understanding of code versioning tools like Git
6. Strong problem solving, communication skills and team work abilities.

Skills required:
- knowledge of Linux administration and Bash,
- great overall coding experience, knowledge of algorithms, etc,
- experience with Git,
- experience with Docker.

Typical tasks would consist of writing scripts for:

- server automation,
- container deployment,
- user data migration,
- backup management.