Hiring Netskope Engineer

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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Java/Python Developer(60% Java - 40% Python) - Mid Level Hands On Strong Developer

- 3 Years to 5 Years - Level 2

- 5 Years to 7 Years - Level 3

Location - Mumbai Commerz3 Office Only

He/She candidate must possess a strong technology background with advanced knowledge of Java

and Python based technology stack.

Java, J2EE, Spring MVC, Python, JPA, Spring Boot, REST API, Database, Playwright, CI/CD pipelines

. At least 3 years of Hand-on Java EE and Core Java experience with strong leadership qualities.

. Experience with Web Service development, REST and Services Oriented Architecture.

. Expertise in Object Oriented Design, Design patterns, Architecture and Application Integration.

· Working knowledge of Databases including Design, SQL proficiency.

. Strong experience with frameworks used for development and automated testing like SpringBoot, Junit, BDD etc.

. Experience with Unix/Linux Operating System and Basic Linux Commands.

. Strong development skills with ability to understand technical design and translate the same into workable solution.

. Basic knowledge of Python and Hand-on experience on Python scripting

. Build, deploy, and monitor applications using CI/CD pipelines.

About the Role

We’re looking for a Workday Engineer to own and evolve our Workday platform from our Pune, India office. This is a new, high-impact role—you’ll be the primary technical expert responsible for the full integration and configuration lifecycle across HCM, Payroll, Time Tracking, Benefits, Compensation, and Financials.

You’ll transition our Workday operations from a contractor-supported model to dedicated in-house ownership, inheriting a portfolio of integrations and expanding from there. This isn’t just a build role; you’ll own production operations, monitor system health, triage issues, manage semi-annual Workday releases, and continuously improve how our systems talk to each other.

In a sub-1,000-person organization, you won’t be buried in a large team—you’ll have outsized visibility, direct access to stakeholders across HR, Finance, and IT, and the autonomy to shape how Workday works for the business.

What You'll Do

Integration Development & Architecture

• Design, develop, test, and deploy inbound and outbound integrations using Workday Studio, EIBs, Core Connectors, Cloud Connectors, and Web Services (SOAP/REST).
• Build and maintain integrations between Workday and third-party systems across HR, Payroll, Benefits, and Finance using Workato as the primary middleware layer.
• Develop Workday Extend applications and Orchestrations to automate complex, multi-step business processes that go beyond standard configuration.
• Create and maintain custom reports (Advanced, Composite, Matrix) and calculated fields to support integration logic, business reporting, and downstream data needs.
• Author and maintain XSLT/Document Transformations for data format conversion across integration endpoints.

Production Operations & Support

• Own day-to-day production monitoring: scheduled job health, integration error triage, and data validation for all Workday integration points.
• Serve as the go-to technical resource for integration-related incidents, performing root cause analysis and implementing permanent fixes.
• Manage the semi-annual Workday release cycle—review release notes, regression test impacted integrations and configurations, and coordinate with stakeholders on adoption of new features.
• Maintain integration documentation including technical specifications, data mappings, error-handling procedures, and runbooks.

Cross-Functional Collaboration

• Partner with HR, Payroll, Benefits, Finance, and IT stakeholders to translate business requirements into scalable technical solutions.
• Evaluate new Workday features, Extend capabilities, and Community-driven solutions that could improve efficiency or reduce manual effort.
• Advise on integration architecture decisions, data flow design, and security best practices as the organization’s Workday footprint grows.
• Collaborate with US-based teams across time zones; this role requires flexibility for 3–4 hours of overlap with US Eastern hours (typically an adjusted evening schedule a few days per week).

What You Bring

Required

• 5+ years of hands-on Workday technical experience, with deep proficiency in Workday Studio, EIBs, Core Connectors, Cloud Connectors, XSLT/XML/xPath, and Workato (or similar middleware such as MuleSoft or Boomi).
• Experience building integrations across multiple Workday modules: HCM, Payroll, Time Tracking, Benefits, Compensation, and/or Financials.
• Strong experience with API-based integrations, including building and consuming RESTful APIs and Workday Web Services (SOAP/WWS), with familiarity with authentication protocols (OAuth 2.0, WS-Security) and payload design (JSON/XML).
• Solid understanding of the Workday data model, security architecture (security groups, domains, business process policies), and tenant management.
• Experience with the Workday release management process, including regression testing and feature evaluation.
• Proven ability to own production support—comfortable monitoring integration health, diagnosing failures, and resolving issues independently.
• Strong documentation practices (technical specs, data flow diagrams, runbooks) and excellent communication skills with both technical and non-technical stakeholders across time zones.

Preferred

• Workday Pro certification in Integrations, Studio, or one or more functional modules (HCM, Payroll, Benefits, Financials).
• Experience with Workday Extend and Orchestrations.
• Exposure to BIRT reporting or Workforce Management Systems.
• Background working in a smaller organization (<1,000 employees) where you were the primary or sole Workday technical resource.
• Familiarity with agile/scrum methodologies and tools like Jira, Zendesk, etc.

Why This Role Stands Out

• Ownership: You're not a cog in a large shared services team. You'll be the Workday technical authority for the organization.
• Breadth: Full-module coverage (HCM & Financials) means broad exposure and accelerated skill development.
• Impact: In a smaller org, your work directly shapes how the business operates — every integration you build is felt across the company.
• Growth: As the first dedicated Workday Engineer, you'll have the opportunity to define standards, build the practice, and potentially grow the team over time.

Pendo Description:

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers -- a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software.

Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendo's future. Our culture is passionate, dynamic, and fun.

Position: Assistant Professor – Computer Science & Engineering

Qualification: Ph.D. (or pursuing) in Computer Science/Engineering from a recognized institution. Candidates with strong academic/industry background may also be considered.

Key Responsibilities

• Teaching: Deliver lectures, tutorials, and labs at UG/PG levels in core CSE subjects (e.g., Algorithms, Data Structures, AI, Cloud Computing, Full Stack Development).
• Research: Conduct independent and collaborative research; publish in reputed journals/conferences.
• Curriculum Development: Design and update course content aligned with industry and academic standards.
• Student Mentorship: Guide students in projects, internships, and career development.
• Academic Administration: Participate in examinations, evaluations, and departmental activities.
• Industry & Outreach: Build collaborations with industry, contribute to consultancy, training, and placements.

Desired Skills

• Expertise in programming languages (Java, Python, C++), data analytics, AI/ML, cloud computing, or related domains.
• Strong communication and mentoring abilities.
• Commitment to academic excellence and institutional growth.

Frontend Engineer (Next.js / React / TypeScript)

Position Summary

We are seeking a Frontend Engineer with deep expertise in Next.js, React, and TypeScript to join our growing engineering team. The ideal candidate will have experience building scalable, modern web applications, with strong knowledge of Tailwind CSS for styling and proficiency in integrating with MongoDB backends and AI/LLM APIs (e.g., OpenAI). You will work closely with backend engineers and AI specialists to build seamless user interfaces that power cutting-edge AI-driven applications.

Key Responsibilities

• Develop, optimize, and maintain frontend features using Next.js, React, and TypeScript.
• Implement responsive and scalable UI components with Tailwind CSS.
• Integrate with backend APIs built on MongoDB and other data sources.
• Work with AI/LLM APIs (OpenAI, LangChain, etc.) to deliver intelligent, context-aware features.
• Collaborate with backend and AI engineers to ensure efficient data flow and optimal performance.
• Write clean, reusable, and testable code with strong attention to detail.
• Participate in code reviews, sprint planning, and product design discussions.

Required Skills/Qualifications

• Strong proficiency with Next.js, React, and TypeScript.
• Experience with Tailwind CSS and modern component-based UI development.
• Familiarity with integrating MongoDB backends into frontend applications.
• Experience consuming AI APIs (OpenAI, HuggingFace, etc.).
• Understanding of REST and GraphQL API consumption.
• Strong problem-solving skills, debugging, and optimization techniques.
• Excellent collaboration and communication skills.

Preferred Skills/Experience

• Experience with SSR (Server-Side Rendering) and ISR (Incremental Static Regeneration) in Next.js.
• Familiarity with state management libraries (Redux, Zustand, Recoil, etc.).
• Exposure to vector databases or AI-driven UI personalization.
• Prior experience working in a SaaS or data-heavy application environment.

Job Description: Speech Recognition Engineer

3 years of industry experience

Responsibility:

 Development of ASR engine using frameworks like ESPNET or FairSeq or Athena or

Deep Speech using PyTorch or Tensorflow

 Assist to define technology required for Speech to Text besides core engine

and to design integration of these technologies.

 Work on improvement of model's accuracy and guide the team with best practices.

Desired experience:

 Good understanding of machine learning(ML) tools.

 Should be well versed in classical speech processing methodologies like hidden

Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural

networks (ANNs), Language modeling, etc.

 Hands-on experience of current deep learning (DL) techniques like Convolutional

neural networks (CNNs), recurrent neural networks (RNNs), long-term short-term

memory (LSTM), connectionist temporal classification (CTC), etc used for

speech processing is essential.

 The candidate should have hands-on experience and any of the end-to-end

implementation of ASR tools such as ESPNET or FairSeq or Athena or Deep

Speech

 Hands-on PyTorch and Tensorflow experience is desirable.

 Experience in techniques used for resolving issues related to accuracy, noise,

confidence scoring etc.

 Ability to implement recipes using scripting languages like bash

 Ability to develop applications using python, c++, Java

 Knowledge of Transformer Models like BERT-base. ELMo, ULM-FIT

 Experience in CI/CD pipeline, MLOps processes

 Hands-on deployment experience using cloud applications like AWS, GCP

Location: Bangalore

Desirable Skills: ML, Knowledge of Speech Recognition frameworks such as ESPNET

or FairSeq or Athena or Deep Speech etc, Hands-on experience of deep learning (DL)

techniques like CNN, RNN, LSTM etc., AWS, GCP