Business Development Manager

Job Title: Customer Service & Sales Executive – Healthcare

Location: Vasanthnagar, Bangalore (Female, Onsite, Full time)

Department: Sales & Customer Service

Reports To: Operations Manager

About Miror

Miror is India’s leading FemTech platform transforming how women experience peri-menopause and menopause. In just a year, we’ve built India’s largest menopause-focused WhatsApp community, partnered with the National Health Mission and the Indian Menopause Society, and launched category-defining nutraceutical products and digital health services. Our app blends science and technology—offering personalized care pathways, symptom tracking, diagnostic links, games, AI-powered chat, expert consultations, and more. We're proud recipients of the Innovation in Menopause Care award at the Global Women’s Health Innovation Conference 2024 and are rapidly scaling toward our $1B+ vision. Learn more: www.miror.in

Summary

We are seeking a motivated and customer-focused professional to join Miror Therapeutics Pvt. Ltd. The role involves making outbound calls to promote our healthcare products, providing exceptional customer service, processing orders, maintaining documentation, and supporting administrative duties as required. This position combines sales, service, and operational responsibilities to ensure a seamless customer experience.

Key Responsibilities

·        Make outbound calls to prospective and existing customers to promote Miror’s healthcare products and services.

·        Provide detailed product information, handle customer inquiries, and ensure high-quality service standards.

·        Achieve sales targets through proactive engagement, upselling, and cross-selling.

·        Process customer orders accurately, including order entry, confirmation, and follow-up until delivery.

·        Maintain complete and accurate customer records, sales documentation, and transaction reports.

·        Coordinate with internal teams for order fulfilment, delivery tracking, and issue resolution.

·        Maintain product knowledge, including healthcare industry trends and company offerings.

·        Support administrative activities and other operational tasks as assigned.

·        Communicate with customers via phone calls, WhatsApp, email, and SMS.

·        Run and manage WhatsApp and email marketing.

·        Follow up with leads and assist customers with purchases and queries.

·        Record and maintain accurate customer information and feedback.

Requirements

·        Bachelor’s degree in any discipline; preference for candidates with healthcare-related qualifications or experience.

·        3–5 years of experience in customer service, upselling on inbound or outbound calling (healthcare industry experience highly preferred).

·        Strong communication skills (verbal and written) and persuasive sales abilities.

·        Proficient in MS Office and basic CRM/order management systems.

·        Ability to multitask, prioritize, and manage time effectively.

·        Customer-oriented approach with problem-solving skills.

Key Skills

·        Outbound calling & upselling

·        Customer service excellence

·        Healthcare product knowledge

·        Order processing & documentation

·        Administrative support

·        Communication & relationship management

Why Join Us?

·        Work at the intersection of healthcare, community, and technology

·        Directly impact the lives of women across India and beyond

·        Flexible work environment and collaborative team

·        Opportunity to grow with a purpose-driven startup

How to reach me?

Contact me / message me here on cutshort

Check us out on – www.miror.in or call me at Miror reception.

Best Regards,

Indrani Dutta

Senior HR Manager

www.miror.in

Job Overview:

We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.

Required Skills & Qualifications:

• Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
• 5+ years of hands-on experience in AI/ML solution development.
• Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
• Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
• Proficient in key AI libraries and frameworks:
• LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
• NLP: SpaCy, NLTK.
• Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
• MLOps: MLflow, FastAPI, Docker, Git
• Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
• Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
• Strong communication skills and ability to convert business problems into technical solutions.

Preferred Qualifications:

• Experience building multimodal systems (text + image, etc.)
• Practical experience with agent frameworks for autonomous or goal-directed AI.
• Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment.

Key Responsibilities:

• Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
• Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
• Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
• Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
• Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
• Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
• Optimize models for performance, cost-efficiency, and low latency in production.
• Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
• Mentor junior AI engineers and contribute to internal AI best practices and documentation.

Key Responsibilities:

• Make outbound calls to prospective leads and handle callback requests
• Conduct WhatsApp and Email conversations with leads professionally
• Clearly explain Bhanzu’s courses and USPs to parents/students
• Convince potential customers to book and attend trial classes
• Accurately update and manage lead data in the CRM
• Collaborate with team members to optimize the lead conversion journey

Requirements:

• Excellent communication skills in English (spoken & written)
• Ability to engage and build rapport quickly with customers
• Self-motivated with a goal-driven attitude
• Basic computer skills; familiarity with CRM tools is a plus
• Must have a laptop and stable internet connection
• Willing to work 6 days a week (flexible schedule)

Your Roles and Responsibilities: Business Development is a critical aspect of our platform business. 1. Actively seeking out new sales opportunities through cold calling, networking and social media. 2. Calling 65-70 leads everyday 3. Setting up meetings with potential clients (parents) 4. Generating Trial Classes - Pitch Parents to take PlanetSpark trial Classes 5. Negotiate/close deals and handle complaints or objections 6. Follow and achieve department’s sales goals on a monthly, quarterly and yearly basis (3L revenue per month) 7. “Go the extra mile” to drive sale

R&D Skills

Team work and Communication skills (verbal and written)

Acceptance and steadiness under pressure

Showing responsibility and daily reporting

Problem solving and decision-making skills

Creative and innovative ideas

Quality of work and timelines

Bug free development and code quality

• BE/MTech/MCA/MSc
• 3+yrs Hands on Experience in TSQL / PL SQL / PG SQL or NOSQL
• Immediate joiners preferred*
• Candidates will be selected based on logical/technical and scenario-based testing

Note: Candidates who have attended the interview process with TnS in the last 6 months will not be eligible.

1. Technical Skills Desired:
   1. Experience in MS SQL Server and one of these Relational DB’s, PostgreSQL / AWS Aurora DB / MySQL / Oracle / NOSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch
   2. Design database tables, views, indexes
   3. Write functions and procedures for Middle Tier Development Team
   4. Work with any front-end developers in completing the database modules end to end (hands-on experience in parsing of JSON & XML in Stored Procedures would be an added advantage).
   5. Query Optimization for performance improvement
   6. Design & develop SSIS Packages or any other Transformation tools for ETL

1. Functional Skills Desired:
   1. Banking / Insurance / Retail domain would be a
   2. Interaction with a client a

1. Knowledge in a Cloud Platform (AWS / Azure)
2. Knowledge on version control system (SVN / Git)
3. Exposure to Quality and Process Management
4. Knowledge in Agile Methodology

1. Soft skills: (additional)
   1. Team building (attitude to train, work along, mentor juniors)
   2. Communication skills (all kinds)
   3. Quality consciousness
   4. Analytical acumen to all business requirements

The ideal candidate should be able to build the front-end and back-end up from conceptualization and business requirements to a fully functional, responsive & intuitive user interface.

Technology Stack -

• Backend Coding PHP

• Framework - Laravel

• MySQL

• HTML5/ CSS/ Javascript/jQuery/Ajax etc

Responsibilities:

• Developing web applications and services using Agile development methods.

• Contribute to organization for improvements in process and infrastructure.

• Code, test and operate Laravel based services.

• Effectively use tools and ingenuity to identify and fix defects before they become a problem.

• Integration of user-facing elements developed by front-end developers with server-side logic.

• Writing reusable, testable, and efficient code.

• Design and implementation of low-latency, high-availability, and performant applications.

• Implementation of security and data protection.

Lunavo Labs is a US-based remote software product experience company headquartered in SanDiego, California. We are a bunch of technology enthusiasts from all over the world. We are called Lunavo because we believe that it is possible to bring the Moon to the Earth. We believe in making things possible. We are passionate about executing products with agile lean processes that work to create product experiences that drive results. We have created an ecosystem of talent spread across geographies and agile design and development processes to create software that delivers value for our clients. (www.lunavolabs.com)

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning