11+ Medical terminology Jobs in Mumbai | Medical terminology Job openings in Mumbai

• Tie up with Pharmacies for execution of customer orders   
• Get company agreement signed by pharmacies in specified timelines.  
• Train Pharmacies on the process for receiving, processing and execution of App orders  
• Coordinate with call centre team for resolving execution issues of partner pharmacies  
• Manage payment settlement with partner pharmacies  

• Ensure timely submission of reports by partner pharmacies like GMV, product wise sale report, etc.

Python Developer - AI/MLYour Responsibilities

• Develop, train, and optimize ML models using PyTorch, TensorFlow, and Keras.
• Build end-to-end LLM and RAG pipelines using LangChain and LangGraph.
• Work with LLM APIs (OpenAI, Anthropic Claude, Azure OpenAI) and implement prompt engineering strategies.
• Utilize Hugging Face Transformers for model fine-tuning and deployment.
• Integrate embedding models for semantic search and retrieval systems.
• Work with transformer-based architectures (BERT, GPT, LLaMA, Mistral) for production use cases.
• Implement LLM evaluation frameworks (RAGAS, LangSmith) and performance optimization.
• Design and maintain Python microservices using FastAPI with REST/GraphQL APIs.
• Implement real-time communication with FastAPI WebSockets.
• Implement pgvector for embedding storage and similarity search with efficient indexing strategies.
• Integrate vector databases (pgvector, Pinecone, Weaviate, FAISS, Milvus) for retrieval pipelines.
• Containerize AI services with Docker and deploy on Kubernetes (EKS/GKE/AKS).
• Configure AWS infrastructure (EC2, S3, RDS, SageMaker, Lambda, CloudWatch) for AI/ML workloads.
• Version ML experiments using MLflow, Weights & Biases, or Neptune.
• Deploy models using serving frameworks (TorchServe, BentoML, TensorFlow Serving).
• Implement model monitoring, drift detection, and automated retraining pipelines.
• Build CI/CD pipelines for automated testing and deployment with ≥80% test coverage (pytest).
• Follow security best practices for AI systems (prompt injection prevention, data privacy, API key management).
• Participate in code reviews, tech talks, and AI learning sessions.
• Follow Agile/Scrum methodologies and Git best practices.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
• 2–5 years of Python development experience (Python 3.9+) with strong AI/ML background.
• Hands-on experience with LangChain and LangGraph for building LLM-powered workflows and RAG systems.
• Deep learning experience with PyTorch or TensorFlow.
• Experience with Hugging Face Transformers and model fine-tuning.
• Proficiency with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering.
• Strong experience with FastAPI frameworks.
• Proficiency in PostgreSQL with pgvector extension for embedding storage and similarity search.
• Experience with vector databases (pgvector, Pinecone, Weaviate, FAISS, or Milvus).
• Experience with model versioning tools (MLflow, Weights & Biases, or Neptune).
• Hands-on with Docker, Kubernetes basics, and AWS cloud services.
• Skilled in Git workflows, automated testing (pytest), and CI/CD practices.
• Understanding of security principles for AI systems.
• Excellent communication and analytical thinking.

Nice to Have

• Experience with multiple vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of advanced LLM fine-tuning (LoRA, QLoRA, PEFT) and RLHF.
• Experience with model serving frameworks and distributed training.
• Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster).
• Knowledge of quantization and model compression techniques.
• Experience with infrastructure as code (Terraform, CloudFormation).
• Familiarity with data versioning tools (DVC) and AutoML.
• Experience with Streamlit or Gradio for ML demos.
• Background in statistics, optimization, or applied mathematics.
• Contributions to AI/ML or LangChain/LangGraph open-source projects.

Role Overview

You will be responsible for end-to-end event execution, team leadership, documentation,

delivery timelines, and on-ground accountability.

Key Responsibilities:

- Lead end-to-end event execution from planning to dismantling

- Take complete ownership of event delivery timelines and quality

- Manage detailed operational documentation (checklists, BOQs, timelines)

- Supervise setup, rehearsals, live execution, and dismantle

- Coordinate vendors and on-ground teams

- Ensure strict adherence to timelines, safety, and processes

- Handle last-minute changes and crisis situations

- Prepare post-event reports, OT validations, and closure documents

Key Skills & Requirements:

- 5–8 years of hands-on experience in corporate event operations

- Strong accountability and ownership mindset

- Sharp eye for detail with zero-error execution approach

- Strong documentation and reporting skills

- Organized personality with structured working style

- Willingness to take full responsibility of delivery

- Flexible for long working hours and late-night setups

- Proven leadership skills

- Strong coordination and communication abilities

- Physically fit for on-ground execution

Perks & Benefits:

- Leadership Growth & Fast-Track Promotions

- Recognition & Performance Rewards Program

- Overtime Policy with Enhancement benefits

- Allowance for Late-Night Setups

- Medical Coverage

- 24 Annual Paid Leaves & National Holidays

- Annual Team Offsite

- stress management program under (wellness days)

- High-energy, growth-oriented work culture

🚀 We’re Hiring: Senior Cloud & ML Infrastructure Engineer 🚀

We’re looking for an experienced engineer to lead the design, scaling, and optimization of cloud-native ML infrastructure on AWS.

If you’re passionate about platform engineering, automation, and running ML systems at scale, this role is for you.

What you’ll do:

🔹 Architect and manage ML infrastructure with AWS (SageMaker, Step Functions, Lambda, ECR)

🔹 Build highly available, multi-region solutions for real-time & batch inference

🔹 Automate with IaC (AWS CDK, Terraform) and CI/CD pipelines

🔹 Ensure security, compliance, and cost efficiency

🔹 Collaborate across DevOps, ML, and backend teams

What we’re looking for:

✔️ 6+ years AWS cloud infrastructure experience

✔️ Strong ML pipeline experience (SageMaker, ECS/EKS, Docker)

✔️ Proficiency in Python/Go/Bash scripting

✔️ Knowledge of networking, IAM, and security best practices

✔️ Experience with observability tools (CloudWatch, Prometheus, Grafana)

✨ Nice to have: Robotics/IoT background (ROS2, Greengrass, Edge Inference)

📍 Location: Bengaluru, Hyderabad, Mumbai, Pune, Mohali, Delhi

5 days working, Work from Office

Night shifts: 9pm to 6am IST

👉 If this sounds like you (or someone you know), let’s connect!

Apply here:

Position: Business Manager/ Sales Manager

Experience: 6Month

Location: Mumbai andheri EAST

Budget: Upto 5.5 LPA

Skills: NBFC, LAP, Home loan, Mortgages Loan, DSA, DST, Builder Developers, Real Estate Agent.

Job Responsibilities -

● Identifying and onboarding the potential DSAs and Channel partners from open market

● Build and strengthen relationships with new and existing partners to drive business targets

● Provide day to day operational support to your channel partners

● Responsible for driving monthly sales targets and respective business metrics

Job Requirements -

● Excellent sales skills, e.g. rapport building and negotiation skills

● Good written and verbal communication skills

● Should have prior experience in NBFC and DSA preferably in mortgages (Home loan and

LAP)

● Own Conveyance and strong local industry network are preferred for this role

● Fluency in the regional language will be an additional benefit

Key Responsibilities:

• Generate qualified leads in Mumbai and Bangalore.
• Build and maintain strong client relationships.
• Prepare and deliver product demos, proposals, and technical presentations.
• Coordinate with pre-sales/engineering teams for customized solutions.
• Follow up on proposals using CRM and convert to deals.
• Attend industry events, conferences, and site visits.
• Keep track of market trends, competitors, and pricing strategies.

We have an urgent requirement for Network Field Engineer Candidates who are based in Mumbai only.

Please find the skills_ Network Field Engineer.

• Candidate must have worked in Field with the internet provided by any company.
• ISP ( Internet Service Provider)
• Hand On experience and Knowledge of LAN, WAN, VLAN, Wi-Fi, and router installation.
• Setting Up Network structure.

About Us: 

At Growisto, we provide simplified solutions to complex business problems. Our strategies have helped companies build pathways to reach and earn their customers, the right way. As a team, we are obsessively passionate about technology and data and see it as an opportunity for digital growth. Nothing gives us a bigger kick than boosting sales!

Objectives of this role:

We believe that HR is not a support function but is the core part of our business. We are looking for a person who can join our core team to help us grow the business further. With the increase in team size, we do feel the need of the expertise of an experienced person to achieve the following objectives:

1. Building the culture of the company and retaining it as we scale up further
2. Our policies are people-friendly
3. The team is motivated and committed
4. Hiring the right people
   
   

This role is about taking complete ownership of the above objectives.

Roles and responsibilities:

Although the roles and responsibilities will be governed primarily by the objectives mentioned above, here are the few activities which will surely be part of the role:

• Collaborate with senior leadership to understand the organization's goals and strategy related to HR planning, recruitment, employee engagement and development, C&B, Learning and Performance Management
• Plans, leads, develops, coordinates and implements policies, processes, training, initiatives and surveys to support the organization’s human resource compliance and strategy needs
• Administers or oversees the administration of human resource programs including, but not limited to, compensation, benefits, and leave; disciplinary matters; disputes and investigations; performance and talent management; productivity, recognition, and morale; Learning and organizational development
• Conducts research and analysis of organizational trends including review of reports and metrics from the organization’s human resource information system (HRIS) or talent management system
• Monitors and ensures the organization’s compliance laws and regulations, and recommended best practices; reviews and modifies policies and practices to maintain compliance
• Maintains knowledge of trends, best practices in human resources and employment laws. Applies this knowledge to communicate changes in policy, practice, and resources to management
• Identifies staffing and recruiting needs; develops and executes best practices for hiring and talent management