Ampera Technologies

About Ampera

Ampera builds enterprise-grade AI platforms that sit at the intersection of large-scale data systems, intelligent orchestration, and applied AI.

Our products help Fortune 1000 companies optimize operations, manage risk, and unlock decision intelligence using AI, LLMs, and agentic workflows.

Role Overview

We are looking for a strong Full Stack Engineer who has built production-grade enterprise applications, worked with large datasets, and is excited about integrating AI systems and LLM-powered workflows into real-world platforms.

This is not a UI-only or API-only role.

You’ll own end-to-end system design, from frontend experiences to backend orchestration and AI integration.

What You’ll Work On

• Enterprise web platforms used by analysts, admins, and leadership
• High-scale data-intensive applications (query orchestration, risk intelligence, estimation engines)
• AI-augmented workflows (LLMs, agents, optimizers, explainability layers)
• Secure, governed, multi-tenant systems with role-based access

Key Responsibilities

Full Stack Development

• Design and build scalable web applications (frontend + backend)
• Develop API-first backend services for enterprise workflows
• Build admin dashboards, analyst workflows, and decision-ready UIs
• Ensure performance, reliability, and maintainability at scale

Backend & Data Systems

• Work with large-scale relational databases (Azure Synapse, Redshift, Snowflake, PostgreSQL, SQL Server, etc.)
• Design data models for high-volume, analytical workloads
• Implement caching, orchestration, background processing, and async workflows
• Integrate with enterprise systems (identity, BI tools, data platforms)

AI / LLM Integration

• Integrate LLMs (OpenAI, Azure OpenAI, etc.) into production systems
• Build AI-powered services:
• Query optimization
• Risk scoring & explainability
• Estimation & prediction workflows
• Implement agentic AI patterns (multi-step reasoning, tool-using agents, orchestration)
• Work closely with ML engineers to productionize AI models

Enterprise Readiness

• Implement RBAC, audit logging, governance, and guardrails
• Design systems with security, compliance, and observability in mind
• Contribute to CI/CD pipelines, deployments, and production monitoring

Required Skills & Experience

Core Engineering

• 4–8+ years of experience as a Full Stack Engineer
• Strong backend experience with Python (FastAPI preferred) or equivalent
• Solid frontend experience with React / modern JS frameworks
• Strong understanding of REST APIs, async processing, microservices

Data & Systems

• Hands-on experience with large databases and complex schemas
• Strong SQL skills and experience optimizing queries
• Experience building enterprise-grade, data-heavy applications

AI / Modern Stack

• Practical experience integrating LLMs or AI services into applications
• Familiarity with:
• Prompting & structured outputs
• AI evaluation & guardrails
• Explainability and risk-aware AI
• Exposure to agentic AI frameworks or multi-step AI workflows is a big plus

Nice-to-Have (Strong Differentiators)

• Experience building AI-powered SaaS or internal enterprise platforms
• Background in analytics, risk systems, finance, supply chain, or operations
• Experience with Redis, message queues, background workers
• Familiarity with Azure / AWS, containerization, Kubernetes
• Ability to translate business problems → system design

What We Look For (Beyond Skills)

• Strong systems thinking — you see the whole picture
• Comfortable operating in ambiguous, zero-to-one builds
• Ability to reason about scale, cost, and enterprise constraints
• Builder mindset — you ship, iterate, and own outcomes

Why Join Ampera

• Work on real enterprise AI platforms, not demos or chatbots
• Exposure to LLMs, agentic AI, and applied AI at scale
• High ownership, senior-heavy team, minimal bureaucracy
• Opportunity to shape core architecture and AI strategy
• 
  

Hi,

Title                            : Accessibility Testing

Experience                 : 4 to 5 Yrs

Location                     : Chennai

Type of hire               : Person with Disabilities (PWD) and Non PWD

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Working hours           : 09:00 a.m. to 06:00 p.m.

Work Days                 : Mon - Fri

Job Description:

We are looking for an experienced Accessibility Tester with 4–5 years of hands-on experience in web and mobile accessibility testing. The ideal candidate should have strong expertise in WCAG compliance, assistive technology testing, functional validation, and usability evaluation to ensure digital products deliver inclusive and accessible user experiences

Key Responsibilities

• Perform comprehensive accessibility testing for web and mobile applications.
• Evaluate applications against WCAG 2.1 / 2.2 (AA level), ADA, and other relevant accessibility standards.
• Conduct manual and automated accessibility testing using industry-standard tools.
• Perform assistive technology testing using screen readers (NVDA, JAWS, VoiceOver, TalkBack).
• Validate keyboard-only navigation, focus order, and focus visibility.
• Conduct functional validation to ensure business and accessibility requirements are met.
• Execute usability testing focusing on users with visual, auditory, motor, and cognitive disabilities.
• Identify, document, and track accessibility defects with clear reproduction steps, WCAG references, severity classification, and remediation guidance.
• Prepare detailed accessibility audit reports and support compliance documentation
• Collaborate with developers, designers, product teams, and QA to resolve accessibility issues.
• Validate fixes and perform regression accessibility testing.
• Participate in accessibility reviews during design and development phases.

Technical Skills Required

Accessibility Expertise

• Strong knowledge of WCAG 2.1 / 2.2 guidelines and success criteria mapping.
• Good understanding of ARIA roles, semantic HTML, accessible forms, dynamic components, and focus management.
• Experience testing across different disability types (visual, auditory, motor, cognitive).
• Knowledge of Section 508 and other accessibility regulations (preferred).

Testing Skills

• Strong experience in functional testing and validation.
• Hands-on experience in usability testing methodologies.
• Experience preparing structured defect reports and accessibility audit documentation.
• Ability to classify issues based on severity (Critical / Major / Minor).

Tools & Technologies

·      Experience with accessibility testing tools such as Axe, WAVE, Lighthouse.

·      Hands-on experience with screen readers (NVDA, JAWS, VoiceOver, TalkBack).

·      Experience testing mobile accessibility using platform-native accessibility tools on iOS and Android.

·      Basic understanding of HTML, CSS, and JavaScript

Preferred Qualifications

• IAAP Certification (CPACC / WAS / CPWA) – Good to Have.
• Experience working in Agile / Scrum environments.
• Experience in enterprise-level accessibility audits.
• Exposure to mobile accessibility testing on iOS and Android platforms.

Key Competencies

• Strong attention to detail.
• Analytical and problem-solving skills.
• Ability to interpret accessibility standards and apply them practically.
• Effective communication skills for client and stakeholder interactions.
• Passion for inclusive design and digital accessibility.

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.

Thanks,

Kavitha Udhay

Hi,

We are seeking a senior data leader with deep functional expertise in Salesforce Sales and Service domains to own the enterprise data model, metrics, and analytical outcomes supporting Sales, Service, and Customer Operations.

This role is business‑first and data‑centric. The successful candidate understands how Salesforce Sales Cloud and Service Cloud data is generated, evolves over time, and is consumed by business teams, and ensures analytics accurately reflect operational reality.

Snowflake serves as the enterprise analytics platform, but Salesforce domain mastery and functional data expertise are the primary requirements for success in this role.

Core Responsibilities

Salesforce Sales & Service Data Ownership

·                 Act as the data owner and architect for Salesforce Sales and Service domains.

• Own Sales data including leads, accounts, opportunities, pipeline, bookings, revenue, forecasting, and CPQ (if applicable).
• Own Service data including cases, case lifecycle, SLAs, backlog, escalations, and service performance metrics.
• Define and govern enterprise‑wide KPI and metric definitions across Sales and Service.
• Ensure alignment between Salesforce operational definitions and analytics/reporting outputs.
• Own cross‑functional metrics spanning Sales, Service, and the customer lifecycle (e.g., customer health, renewals, churn).

Business‑Driven Data Modeling

·                 Design Salesforce‑centric analytical data models that accurately reflect Sales and Service processes.

• Model sales stage progression, pipeline history, and forecast changes over time.
• Model service case lifecycle, SLA compliance, backlog aging, and resolution metrics.
• Handle Salesforce‑specific complexities such as slowly changing dimensions (ownership, territory, account hierarchies).
• Ensure data models support operational dashboards, executive reporting, and advanced analytics.

Analytics Enablement & Business Partnership

·                 Partner closely with Sales Operations, Service Operations, Revenue Operations, Finance, and Analytics teams.

• Translate business questions into trusted, reusable analytical datasets.
• Identify data quality issues or Salesforce process gaps impacting reporting and drive remediation.
• Enable self‑service analytics through well‑documented, certified data products.

Technical Responsibilities (Enabling Focus)

·                 Architect and govern Salesforce data ingestion and modeling on Snowflake.

• Guide ELT/ETL strategies for Salesforce objects such as Opportunities, Accounts, Activities, Cases, and Entitlements.
• Ensure reconciliation and auditability between Salesforce, Finance, and analytics layers.
• Define data access, security, and governance aligned with Salesforce usage patterns.
• Partner with data engineering teams on scalability, performance, and cost efficiency.

Required Experience & Skills

Salesforce Sales & Service Domain Expertise (Must‑Have)

·                 Extensive hands‑on experience working with Salesforce Sales Cloud and Service Cloud data.

• Strong understanding of sales pipeline management, forecasting, and revenue reporting.
• Strong understanding of service case workflows, SLAs, backlog management, and service performance measurement.
• Experience working directly with Sales Operations and Service Operations teams.
• Ability to identify when Salesforce configuration or process issues cause reporting inconsistencies.

Data & Analytics Expertise

·                 10+ years working with business‑critical analytical data.

• Proven experience defining KPIs, metrics, and semantic models for Sales and Service domains.
• Strong SQL and analytical skills to validate business logic and data outcomes.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or MicroStrategy.

Platform Experience 

·                 Experience using Snowflake as an enterprise analytics platform.

• Understanding of modern ELT/ETL and cloud data architecture concepts.
• Familiarity with data governance, lineage, and access control best practices.

Leadership & Collaboration

·                 Acts as a bridge between business stakeholders and technical teams.

• Comfortable challenging requirements using business and data context.
• Mentors engineers and analysts on Salesforce data nuances and business meaning.
• Strong communicator able to explain complex Salesforce data behavior to non‑technical leaders.

Thanks,

Ampera Talent Team

Hi,

Greetings from Ampera!

we are looking for a Data Scientist with strong Python & Forecasting experience.

Title                               : Data Scientist – Python & Forecasting

Experience                   : 4 to 7 Yrs

Location                       : Chennai/Bengaluru

Type of hire                  : PWD and Non PWD

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Working hours           : 09:00 a.m. to 06:00 p.m.

Workdays                   : Mon - Fri

Job Description:

We are looking for an experienced Data Scientist with strong expertise in Python programming and forecasting techniques. The ideal candidate should have hands-on experience building predictive and time-series forecasting models, working with large datasets, and deploying scalable solutions in production environments.

Key Responsibilities

• Develop and implement forecasting models (time-series and machine learning based).
• Perform exploratory data analysis (EDA), feature engineering, and model validation.
• Build, test, and optimize predictive models for business use cases such as demand forecasting, revenue prediction, trend analysis, etc.
• Design, train, validate, and optimize machine learning models for real-world business use cases.
• Apply appropriate ML algorithms based on business problems and data characteristics
• Write clean, modular, and production-ready Python code.
• Work extensively with Python Packages & libraries for data processing and modelling.
• Collaborate with Data Engineers and stakeholders to deploy models into production.
• Monitor model performance and improve accuracy through continuous tuning.
• Document methodologies, assumptions, and results clearly for business teams.

Technical Skills Required:

Programming

• Strong proficiency in Python
• Experience with Pandas, NumPy, Scikit-learn

Forecasting & Modelling

• Hands-on experience in Time Series Forecasting (ARIMA, SARIMA, Prophet, etc.)
• Experience with ML-based forecasting models (XGBoost, LightGBM, Random Forest, etc.)
• Understanding of seasonality, trend decomposition, and statistical modeling

Data & Deployment

• Experience handling structured and large datasets
• SQL proficiency
• Exposure to model deployment (API-based deployment preferred)
• Knowledge of MLOps concepts is an added advantage

Tools (Preferred)

• TensorFlow / PyTorch (optional)
• Airflow / MLflow
• Cloud platforms (AWS / Azure / GCP)

Educational Qualification

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.

Key Competencies

• Strong analytical and problem-solving skills
• Ability to communicate insights to technical and non-technical stakeholders
• Experience working in agile or fast-paced environments

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.

Hi,

PFB the Job Description for Data Science with ML

Type of hire                  : PWD and Non PWD

Employment Type    : Full Time

Notice Period            : Immediate Joiner

Work Days                    : Mon - Fri

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

About the Role

We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.

Key Responsibilities

• Analyze large, structured and unstructured datasets to derive actionable insights.
• Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
• Apply statistical analysis, feature engineering, and model evaluation techniques.
• Work closely with business stakeholders to understand requirements and convert them into data science solutions.
• Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
• Monitor model performance and retrain models as required.
• Document assumptions, methodologies, and results clearly.
• Collaborate with data engineers and software teams to integrate models into production systems.
• Stay updated with the latest advancements in data science and machine learning.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
• 5+ years of hands-on experience in Data Science and Machine Learning.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Experience with ML algorithms:
• Regression, Classification, Clustering
• Decision Trees, Random Forest, Gradient Boosting
• SVM, KNN, Naïve Bayes
• Solid understanding of statistics, probability, and linear algebra.
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
• Experience working with SQL and relational databases.
• Knowledge of model evaluation metrics and optimization techniques.

Preferred / Good to Have

• Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
• Exposure to NLP, Computer Vision, or Time Series forecasting.
• Experience with big data technologies (Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with MLOps, CI/CD pipelines, and model deployment.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder interaction skills.
• Ability to work independently and in cross-functional teams.
• Curiosity and willingness to learn new tools and techniques.

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.

.