Machine Learning (ML)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
Role Overview
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.
This role goes beyond traditional data science and focuses on building end-to-end AI platforms, autonomous AI agents, intelligent decision systems, and enterprise AI applications.
You will work on real-world enterprise problems across industries, developing AI systems that automate reasoning, prediction, and decision-making at scale.
What You Will Build
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
3. Agentic AI Systems
Design autonomous AI systems capable of reasoning and executing tasks.
Build multi-agent architectures using:
• LangGraph
• CrewAI
• AutoGen
• Semantic Kernel
Integrate agents with:
• APIs
• enterprise data systems
• internal workflows
4. AI Platform Engineering
Develop scalable AI services and applications using:
• Python
• FastAPI / Flask
• 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
• CI/CD pipelines
• 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)
Required Skills:
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
• Passionate about next-generation AI architectures
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.
Why Join Ampera
At Ampera, we are building AI-native enterprise platforms that transform how organizations use data and intelligence.
Engineers at Ampera work on:
• real-world enterprise AI systems
• cutting-edge GenAI and agentic architectures
• global enterprise clients across industries
• high-impact AI platforms that scale.
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
Accessibility & Inclusion Statement
We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.
Equal Opportunity Employer (EOE) Statement
Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Ampera Technologies
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon