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Salesforce developer
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Salesforce developer

at Service base company

2 - 12 yrs
₹5L - ₹38L / yr (ESOP available)
Remote only
Skills
Salesforce
Salesforce Lightning
Salesforce Visualforce
Salesforce Apex
Visualforce

Job Description:
-Experience in -Develop product capabilities using Force.com, APEX, Visualforce, Lightninig Components .

- Knowledge of Perform unit testing, integration testing, and performance testing of new product functionality.

-Good understanding of the work, solution, and potential blockers in order to meet project goals.

-Ability to gather data migration requirements, define a data migration plan and perform complex data migrations requiring transformation using a database, and potentially containing very large data sets.

- Experience in Analyse data quality requirements, define data quality plan and execute.

 

-Knowledge of conduct technical process reviews, technical UAT's and work in part

 

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Ampera Technologies
Bengaluru (Bangalore)
5 - 10 yrs
₹15L - ₹40L / yr
Generative AI
Large Language Models (LLM)
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
MLOps

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.

.


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About the Company LEAF is safety technology company started from February 2015 with the mission to solve the problem of human safety by disrupting the largely unorganized security market. LEAF launched their first product Safer, a smart safety wearable in 2015 to solve the problem of women safety which was sold in more than 25 countries. LEAF was a part of Prime Minister Modi's delegation to silicon valley as the Top 10 Innovators of India. With first Indian company to win prestigious Million Dollar X Prize Award at United Nations, Leaf is on the mission to make Billion people safe. Role: Android Engineer Experience: 2-3 years Responsibilities ● Develop the uber cool Android app of SAFER QRT(our product). ● Convert an apple lover to an android lover. ● Designing and building advanced applications for the Android platform ● Collaborating with cross-functional teams to define, design, and ship new features. ● Working with outside data sources and API's ● Unit-testing code for robustness, including edge cases, usability, and general reliability. Education ● Bachelors/Masters degree in Computer Science Engineering or a related stream ● Excellent understanding of the full mobile development life cycle ● Experience working with remote data via JSON ● Experience with third-party libraries and APIs We love ● Open Source Contributions ● Have published one or more android apps in the Play Store ● Writing enlightening, impressive blogs of what you have been doing here Work Location Leaf Zone - Greater Kailash-1, South Delhi Contact details Avinash Bansal , [email protected] , +91-8447206702
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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