11+ ASCP Jobs in India
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Role/Title: ASCP Functional consultant (Exp - 4 to 15 yrs.)
Location: Noida/Pune/Bangalore/Hyderabad/Chennai
Primary Skills/expertise: ASCP, MFG/MRP, MPS, WIP, BOM
Role & Responsibilities
Functional Consultant with min 6-8 years of experience.
Skills –
- Oracle VCP-EBS - Advanced Supply Chain Planning (ASCP, MFG/MRP, MPS Planning Expert)
Detailed Job Description:
- Strong experience in Oracle ASCP, MRP, MPS Planning and Manufacturing
- Good knowledge of Oracle EBS, Mfg., WIP, BOM
- Having done at least one end to end implementation of Oracle EBS Mfg. with primary focus on VCP modules
- Good knowledge of Supply Chain Management related business processes and Oracle configurations / functional setups, profile options, flex-fields, functional interfaces for R12 EBS
- Should have worked on customizations, Reports, interfaces etc. over MSC schema
- Understanding of software development methodologies, development processes, change management, and deployment procedures
- Experience with gathering user requirements, understanding and interpreting requirements specifications
- Ability to analyze, trouble shoot and effectively communicate functional details to end users
- Worked with Oracle Technical Support on SR resolution
- Self-motivated team player with ability to work independently as well as part of a team
- Strong analytical and problem-solving skills along with written and verbal communication skills
- Good to have – SQL-query knowledge, well known about VCP & Oracle-EBS Mfg. Tables, scheduling tools.
- Should have good understanding of Oracle-EBS Integrations with VCP
- Should have experience in client facing.
- Experience in working with multiple teams.
- Flexible in timings
- Expert in writing functional specifications
- Should able to understand holistic planning solution of customer
- Must have experience in Creation of different test scripts, doing testing, UAT support
Job Title : Sr. Data Engineer
Experience : 5+ Years
Location : Noida (Hybrid – 3 Days in Office)
Shift Timing : 2-11 PM
Availability : Immediate
Job Description :
- We are seeking a Senior Data Engineer to design, develop, and optimize data solutions.
- The role involves building ETL pipelines, integrating data into BI tools, and ensuring data quality while working with SQL, Python (Pandas, NumPy), and cloud platforms (AWS/GCP).
- You will also develop dashboards using Looker Studio and work with AWS services like S3, Lambda, Glue ETL, Athena, RDS, and Redshift.
- Strong debugging, collaboration, and communication skills are essential.
Who Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
https://www.orbo.ai/">https://www.orbo.ai/.
We at Orbo are looking for developers who have passion for technology, ability to deploy new and novel technologies in environments that are often low on humans as well as capital. From solving complex algorithm problems, software development engineers also develop complex algorithms to solve real-life crises and are involved in the system design of several applications and thus contributing to their technical architecture.
CTC- Upto 12 LPA
Responsibilities:
- To determine the scope of software development projects.
- Collaborating with the software development team on application design and development.
- Developing software and overseeing the deployment of applications across platforms.
- Performing diagnostic tests and debugging procedures.
- Creating end-user application feedback channels.
- Optimizing software by performing maintenance, updates, and upgrades.
- Documenting processes and maintaining software development records.
- Keeping up to date with C++ standards and advancements in application development.
Requirements:
- Bachelor's degree in computer science, information systems, or similar.
- Strong understanding of OOPs, SDL.
- Problem solving with data structure and algorithms.
- Build tools(make/Cmake/Ninja/Bazel)
- Experience with OS & hardware specific development (SIMD, AVX, AVX2)
- Having knowledge of 3rd Party library integration (OpenCV, Tensorflow, NCNN, TNN, liptorch, Openvino, ONNX runtime)
- Worked with Modern C++
- Worked with Linux & Windows
- Experience with multi threading and multi processing
- Superb analytical and problem-solving skills.
- Excellent collaboration and communication skills.
- Great organizational and time management skills.
Job Title: Full Stack Engineer (Real-Time Audio Systems) – Voice AI
Location: Remote
Experience: 4+ Years
Employment Type: Full-time
About the Role
We’re looking for an experienced engineer to lead the development of a real-time Voice AI platform. This role blends deep expertise in conversational AI, audio infrastructure, and full-stack systems, making you a key contributor to building natural, low-latency voice-driven agents for complex healthcare workflows and beyond.
You’ll work directly with the founding team to build and deploy production-grade voice AI systems.
If you love working with WebRTC, WebSockets, and streaming pipelines, this is the place to build something impactful.
Key Responsibilities
- Build and optimize voice-driven AI systems integrating ASR (speech recognition), TTS (speech synthesis), and LLM inference with WebRTC and WebSocket infrastructure.
- Orchestrate multi-turn conversations using frameworks like Pipecat with memory and context management.
- Develop scalable backends and APIs to support streaming audio pipelines, stateful agents, and secure healthcare workflows.
- Implement real-time communication features with low-latency audio streaming pipelines.
- Collaborate closely with research, engineering, and product teams to ship experiments and deploy into production rapidly.
- Monitor, optimize, and maintain deployed voice agents for high reliability, safety, and performance.
- Translate experimental AI audio models into production-ready services.
Requirements
- 4+ years of software engineering experience with a focus on real-time systems, streaming, or conversational AI.
- Proven experience building and deploying voice AI, audio/video, or low-latency communication systems.
- Strong proficiency in Python (FastAPI, async frameworks, LangChain or similar).
- Working knowledge of modern front-end frameworks like Next.js (preferred).
- Hands-on experience with WebRTC, WebSockets, Redis, Kafka, Docker, and AWS.
- Exposure to healthcare tech, RCM, or regulated environments (highly valued).
Bonus Points
- Contributions to open-source audio/media projects.
- Experience with DSP, live streaming, or media infrastructure.
- Familiarity with observability tools (e.g., Grafana, Prometheus).
- Passion for reading research papers and discussing the future of voice communication.
Full-Stack Machine Learning Engineer
Role: Full-Time, Long-Term Required: Python Preferred: C++
OVERVIEW
We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.
The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.
CORE TECHNICAL REQUIREMENTS
Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.
Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.
Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.
You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.
Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.
C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.
HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION
We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.
DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO
Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.
ENGINEERING STANDARDS
Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.
Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.
Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.
WHAT WE ARE LOOKING FOR
Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.
Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.
Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.
Communication: You explain complex concepts clearly and document your reasoning.
EDUCATION
University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.
💼 *Hiring – Ex-Army Gunman (Site Administration & Control)*
*Company: Enfros India Solutions Pvt. Ltd. (An ISO 9001:2015 Certified Company)*
*Location: Karnataka*
*Job Type: Full-Time | On-Site*
*Position: Ex-Army Gunman – Site Admin & Control*
*Salary:₹38000 to ₹45000*
We are looking for a bold, disciplined, and experienced Ex-Army professional to take charge of site administration and maintain strict discipline across engineering and site operations.
*Key Responsibilities:*
~Maintain discipline & control at site among engineers, supervisors, and workers
~Monitor and check site engineers’ work discipline & reporting
~Ensure compliance with company rules, safety standards, and site regulations
~Act as a bridge between management and site team for smooth operations
~Handle administrative duties and support site-related documentation when required
*Requirements:*
~Ex-Army / Ex-Defense personnel
~Strong leadership, bold personality, and ability to command site discipline
~Physically fit, with a strong sense of responsibility and integrity
*Compensation & Benefits:*
💰 Salary: Negotiable based on experience
🏠 Accommodation & Food Provided
📑 PF & Yearly Increment
• 6 - 8 years of software development / consulting / support experience is required.
• Experience with one of these databases - Neo4j, Oracle, MS SQL Server, PostgreSQL – is required.
• Strong understanding of relational and / or graph database concepts is required.
• Experience working with public cloud technologies specifically AWS, Azure & GCP.
• Experience working with RedHat / CentOS / Amazon Linux operating systems will be a plus.
• Competence in at least one of the following languages (in no particular order): Java, C++, C#, Python, Scala
• Experience with ETL tools ingesting / cleansing / transforming data from multiple data sources will be a plus.
• Knowledge / Hands on experience in Kettle will be a plus.
• Experience with Customer Support for databases primarily on Linux OS.
• Familiarity with enterprise software architectures and application development methodologies is required.
• Familiarity with Linux diagnostics and tuning; Windows tuning knowledge will be a plus.
• Performance Tuning and Troubleshooting skills are required.
We are looking for a talented and dedicated Engineering Manager to join our growing team in Bangalore. You will be responsible for a team that builds end-to-end functionality for products on the Trifacta platform, including data ingestion and publishing services, scalable backend services, and polished user interfaces. Above all, your work will impact how the world works with data.
Responsibilities:
- You inspire, lead, shape and grow a software engineering team and its team members.
- You attract and retain software engineers for your team.
- You care for your team.
- You are responsible for the execution of your team's projects.
- You provide hand-on technical leadership, e.g. through code reviews or architectural discussions.
- You represent your team in engineering and release management meetings.
- You collaborate and coordinate with other teams and functions such as product management and user experience design, making sure everyone is in sync.
Requirements:
- You have 6 or more years of experience as a software engineer (or in a comparable role) taking projects from the initial concept to production.
- You have a bias towards action and a can-do attitude.
- You have minimum 1 years of experience managing a team of 3-5 engineers as a people manager.
- You have experience managing projects with multiple stakeholders (developers, product management, user experience design, quality assurance).
- You are a communicative and collaborative manager with excellent people skills.
- You have a strong desire helping people and teams grow.
- You have experience working with cross-site teams.
Job Description
Role- Technical Writer – SaaS Product
About Saras Analytics
We are a passionate group of engineers, analysts, data scientists, and domain experts building products and offering services to accelerate the adoption of data as a strategic asset.
Our Products
Daton is our ETL platform for analysts and developers. Daton replicates data from SaaS platforms such as Google Analytics, Salesforce, Amazon, and Facebook Ads to cloud data warehouses like Amazon Redshift, Google BigQuery, and Snowflake. Daton consolidates data from a variety of data sources into a data warehouse within minutes and allows analysts to focus on generating insights rather than worrying about building and maintaining a data pipeline.
Halo is our eCommerce focused Business Intelligence and Analytics platform. Halo helps eCommerce businesses save time and money by automating the replication, transformation, preparation, and quality control of data for reporting and analysis. Halo transforms silos of eCommerce data into actionable data sets and useful reports that help you grow your business. Visit https://sarasanalytics.com/" target="_blank">https://sarasanalytics.com/
Responsibilities:
· Responsible for developing technical documentation detailing product features
· Responsible for creating product manuals, detailed how-to guides and FAQs
· Responsible for developing and maintaining technical documentation for both external usage and internal guidance across various teams.
· Responsible for setting up new processes and improve existing technical documentation process
· Responsible for converting product support questions into how to guides
· You would be working closely with product managers, product support and engineering teams to gather insights to document
Eligibility:
- 2-6 years of experience as a Technical Writer and in product documentation.
- Familiarity with third-party API integration analysis.
- Excellent logical, analytical and communication skills to interact with the Development team.
Requirements
· 2-6 years of experience as a Technical writer in SAAS products
· Engineering background in IT or Computer Science
· Excellent written and oral communication skills
· Familiarity with APIs, databases, and SQL
· Hands on experience with documentation and automation tools
· Hands on experience with version control tools
· Ability to grasp complex technical concept and make them easily understandable through documentation while paying attention to detail
· Prior work experience in E-Commerce domain is a plus
*) 7+ years of strong experience in Java/J2EE technologies (Core Java, Spring, Springboot, Hibernate, JPA, Microservices)
*) Experience with working on Java 8.0 and its emerging road map for 11
*) Hands on experience in Springboot and good knowledge of MySQL, MongoDB
*) Hands on experience in working with Angular 6 and above. Experience working with product management and UI/UX designers having knowledge of advanced Javascript, JQuery
*) Working knowledge on components, modules, data/event bindings, templates, using and creating directives, writing routes, services, forms and models
*) Solid understanding of the full frontend and backend development life cycle
*) Strong experience in Spring Framework (Spring MVC, Spring security, Spring data, OAuth)
*) Experience with Webservices (SOAP and REST) and API integration. Good knowledge of JSON and Swagger and Postman is required
*) Experience with web application servers like Tomcat, Jetty, JBoss. Knowledge of Kafka with MQTT would be an added advantage
*) Experience with TDD, code testability standards, JUnit
*) Experience in managing configurations and deploying and hosting applications in AWS
*) Experience with DevOps tools like Git, Maven, SourceTree, Jenkins, Docker and CICD model of development
*) Good experience of OOPS, algorithms, data structures, multi-threading, design patterns and industry best practices
*) Must have good understanding in SOLID principles and why design principles are used.
*) Experience with Eclipse/IntelliJ and VS Code
Salary Offer: 50,000 - 75,000 per month
Job Location: Remote for 6-12 months due to the pandemic, then Mumbai, Maharashtra
Required experience:
Project Manager with over 2-3 years of experience in creating SRS documents or SOWs, planning and managing web and mobile application projects and teams using agile methodologies.
Key Skills required :
1. Proficiency in building software specification documents and SRSs or SOWs
2. Ability to understand project requirements and briefs to build workflows and documentation required to build the solution
3. Clear understanding of SDLC concepts and best practices
4. Strong understanding of web applications, websites, mobile applications and related technology solutions
5. Strong people management skills, resource planning skills and communication skills
6. Ability to build and maintain project plans so as to ensure that projects are delivered on time and with the highest quality.
KRAs includes :
1. Understanding client briefs clearly and propose suitable solutions in consultation with the team
2. Build the required project documentation, workflows and SRS/SOWs in collaboration with the internal and external stakeholders for the project
3. Maintain the SRS documentation during the course of the project
4. Understand and manage change requests
5. Prepare and manage task burndowns related to the project and establish an overall project plan
6. Develop and actively manage the plan and provide weekly status and tracking reporting on the health of the project.
7. Ability to manage a team of experienced developers, technical experts to develop the product
8. Communication provide clear, consistent and timely messaging; both verbal and written; within the team and to technology and business leadership; facilitate effective and timely meetings



