Graphic Designer at Comprehensive Ayurvedic Platform · Delhi, Gurugram, Noida · 1 - 3 years · ₹3L - ₹5L / yr · Posted 8 Sep 2021

Their services are available across the globe, with over 65% of their client base being from US, UK, and Canada. The company's primary focus is on Ayurveda and taking the ancient knowledge to anyone who wishes to bring back balance to their health and apply the tools in their everyday life.
As a Graphic Designer, you will be responsible for creating well designed videos (courses) and images to be posted on company’s Ayurveda education business. which will also entail creating various engaging posts for social media channels like Instagram, FB, Pinterest etc.
- Editing full-length courses, ads, compile animation, content, music etc.
- Responsible for the complete packaging of videos (ads, infomercials, demos etc.)
- Catering to the international market (primarily English speaking) with a good understanding of the language
- Working long and hard within a highly disciplined eco-system
- Building a distinctive brand that stands-out amidst a crowd of beauty and wellness products across the globe
Desired Candidate Profile
What you need to have:
- Bachelors or Masters in design/Branding/Communication Design
- Great command over the following software:
- Very good command over English
- A good sense of aesthetics, a collaborative approach and an attitude to rise to the occasion will be awesome!

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Hi ,
Title : Senior AI/ML Engineer
Experience : 5 – 10+ Yrs
Location : Bengaluru
Work Type : Hybrid – 2 days Work from office
Type of hire : PwD & Non-PwD Inclusive Hiring
Employment Type : Full Time
Notice Period : Immediate Joiner
Workdays : Mon - Fri
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We are seeking an exceptional AI Engineer who can design and build production-grade AI systems that combine advanced machine learning, Generative AI, and scalable software engineering.
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You will work on real-world enterprise problems across industries, developing AI systems that automate reasoning, prediction, and decision-making at scale.
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Examples of systems you may work on:
• AI Copilots for enterprise workflows
• Autonomous AI agents for automation
• Decision intelligence platforms
• Retrieval-Augmented Generation (RAG) systems
• Predictive ML systems for forecasting and anomaly detection
• AI-powered knowledge assistants
• Intelligent automation platforms
Key Responsibilities
1. Advanced Machine Learning & Predictive Systems
Design and implement ML models including:
• Time series forecasting
• Predictive modeling
• Anomaly detection
• Recommendation systems
• NLP / text intelligence
• Deep learning models
Develop models using:
• PyTorch
• TensorFlow
• Scikit-learn
• XGBoost / LightGBM
2. Generative AI & LLM Systems
Build enterprise-grade GenAI applications including:
• AI copilots
• conversational agents
• document intelligence systems
• enterprise knowledge assistants
Develop LLM systems using:
• OpenAI / Claude / Gemini / Llama
• prompt engineering techniques
• embeddings and semantic search
• RAG architectures
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• CrewAI
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• Semantic Kernel
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• APIs
• enterprise data systems
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• asynchronous processing
• distributed compute frameworks
Build production-grade APIs and AI services.
5. Enterprise AI Deployment & MLOps
Deploy AI models into scalable production environments.
Work with:
• Docker
• Kubernetes
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• MLflow / experiment tracking
• model monitoring and drift detection
Deploy AI solutions on:
• Azure
• AWS
• GCP
6. Data Integration & AI Systems
Work with enterprise data sources including:
• relational databases
• data warehouses (Snowflake, Redshift, BigQuery)
• data lakes (S3 / Azure Data Lake)
• vector databases (Pinecone, Weaviate, FAISS)
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Programming
Expert-level proficiency in:
• Python
• software engineering best practices
• data structures and algorithms
Experience building production-ready systems.
Machine Learning
Strong expertise in:
• supervised learning
• unsupervised learning
• deep learning
• time-series modelling
• model evaluation and optimization
Generative AI
Experience working with:
• LLM APIs
• prompt engineering
• RAG pipelines
• embeddings and vector search
AI Architecture
Ability to design:
• scalable AI systems
• distributed ML systems
• intelligent automation platforms
Preferred Experience
• Building enterprise AI products
• Developing AI copilots or agents
• Designing decision intelligence platforms
• Experience with large-scale data systems
Ideal Candidate Profile
The ideal candidate is:
• A strong ML engineer AND software engineer
• Comfortable building AI systems end-to-end
• Experienced in deploying models to production
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We value builders who ship real systems, not just research prototypes.
Education
Bachelor’s / Master’s in:
Computer Science
Artificial Intelligence
Machine Learning
Data Science
or related field.
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At Ampera, we are building AI-native enterprise platforms that transform how organizations use data and intelligence.
Engineers at Ampera work on:
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• global enterprise clients across industries
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What Makes This Role Unique
You will help build the next generation of enterprise AI systems — where AI moves beyond prediction and becomes an autonomous decision-making layer for organizations.
About Ampera:
Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards
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Equal Opportunity Employer (EOE) Statement
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