10 Production jobs in Panipat

Job Title: Production Coordinator

Location: Panipat

Experience: 3+ Years

Salary: ₹26,000 – ₹0,000 per month

Job Description:

We are looking for an experienced Production Coordinator to manage and coordinate activities

across multiple production departments including Embroidery, Digital Prints, Screen Prints,

and Weaving. The ideal candidate will be responsible for ensuring smooth workflow,

maintaining timelines, and preparing detailed computer-based reports for management review.

Key Responsibilities:

● Coordinate day-to-day production activities across different departments (Embroidery,

Digital Printing, Screen Printing, Weaving).

● Monitor production schedules to ensure timely execution and delivery.

● Prepare and maintain computerized reports, MIS, and daily production updates.

● Act as a bridge between department heads, ensuring smooth communication and

workflow.

● Identify delays, bottlenecks, and propose corrective actions.

● Track raw material usage, wastage, and maintain efficiency reports.

● Ensure quality checks are followed during the production process.

● Support management in planning and process improvements.

Requirements:

● Qualification: Graduate (preferably in Textile/Production/Management).

● Experience: Minimum 3 years in production coordination within textile or related

industry.

● Strong knowledge of MS Excel, MS Office, and ERP software.

● Excellent organizational, reporting, and communication skills.

● Ability to multitask and work under strict deadlines.

Job Type: Full-time

Pay: ₹26, ₹30,000.00 per month >

Work Location: In person

Location: Panipat, Haryana

Designation: Production Manager

Experience: 7 10 years

Reporting To: Plant Head

Salary : upto 5000/- per month

Gender: Male/Female both encouraged to apply

About Branopac India Pvt. Ltd.

Branopac India Pvt. Ltd., a wholly owned subsidiary of Branopac GmbH, Germany, established in 2002, is a leading provider of industrial packaging and corrosion protection solutions. The product portfolio includes:

• VCI Papers, Films, Emitters, and Liquids
• Rust Preventive Oils & Liquids
• Vacuum Packaging Materials Aluminium barrier foils, Vacupac composite foils
• Moisture Control Products BRANOgel desiccants

Key Responsibilities

• Lead and manage overall production operations.
• Develop and implement production plans to achieve company targets.
• Optimize resource utilization, reduce wastage, and improve efficiency.
• Drive continuous improvement and lean manufacturing practices.
• Coordinate with cross-functional teams (Purchase, Planning, Quality, Maintenance).
• Prepare production budgets, cost-control measures, and MIS reports.
• Mentor and develop production team members for skill enhancement.

Skills Required

• In-depth knowledge of manufacturing/production systems.
• Strong leadership and team management capabilities.
• Strategic planning and analytical skills.
• Hands-on experience with ERP systems and MS Office.
• Exposure to lean manufacturing practices preferred.

Job description

Location: Panipat, Haryana

Designation: Production Manager

Experience: 7 10 years

Reporting To: Plant Head

Salary : upto 5000/- per month

Gender: Male/Female both encouraged to apply

About Branopac India Pvt. Ltd.

Branopac India Pvt. Ltd., a wholly owned subsidiary of Branopac GmbH, Germany, established in 2002, is a leading provider of industrial packaging and corrosion protection solutions. The product portfolio includes:

• VCI Papers, Films, Emitters, and Liquids

• Rust Preventive Oils & Liquids

• Vacuum Packaging Materials Aluminium barrier foils, Vacupac composite foils

• Moisture Control Products BRANOgel desiccants

Key Responsibilities

• Lead and manage overall production operations.

• Develop and implement production plans to achieve company targets.

• Optimize resource utilization, reduce wastage, and improve efficiency.

• Drive continuous improvement and lean manufacturing practices.

• Coordinate with cross-functional teams (Purchase, Planning, Quality, Maintenance).

• Prepare production budgets, cost-control measures, and MIS reports.

• Mentor and develop production team members for skill enhancement.

Skills Required

• In-depth knowledge of manufacturing/production systems.

• Strong leadership and team management capabilities.

• Strategic planning and analytical skills.

• Hands-on experience with ERP systems and MS Office.

• Exposure to lean manufacturing practices preferred.

Job Type: Full-time

Pay: ₹25, ₹50,000.00 per month

Ability to commute/relocate:

• Panipat, Panipat , Haryana: Reliably commute or planning to relocate before starting work (Required)

Education:

• Bachelor's (Preferred)

Experience:

• total work: 6 years (Preferred)

Location:

• Panipat, Panipat , Haryana (Required)

Shift availability:

• Day Shift (Preferred)

Work Location: In person

Production Control Analyst_Full-Time_Noida (Remote)_Shift Timing: PST and overlap IST/PST

Job Title: Production Control Analyst

Job Type: Full-Time

Location: Noida (Remote)

Experience: 6-8 Years

Shift Timing: PST and overlap IST/PST

Job Description:

Seeking a Production Control Security Analyst that has strong technical knowledge IBM Security Verify Access, IBM Security Verify Governance Identity Manager and IBM Mainframe ZOS RACF products to provide development and support.

Production Control Analyst

Major Responsibilities:

• Provide support for day to day operations
• Support access provisioning / de-provisioning and resolve all access issues on mainframe, web security, SAP and other platforms
• Support COTS products as it relates to Production Control Security Analyst
• Must have a good understanding of Windows, Linux and Mainframe systems
• 3 Years of AD Management and automation with PowerShell
• Provide support to developers to analyze and resolve production issues.
• Provide 24/7 on call support for production processing.
• Review and resolve tickets assigned.
• Good documentation and communication skills
• Provide cross training support for other team members
• 1-2 Years Perl, Python, DOS, Bash scripting experience
• 1-2 Years Java and JavaScript development expertise as it relates to TDIIBM Security Directory Integrator)
• 3-5 Years Operational and Maintenance Activities
• IBM Security Verify Governance Identity Manager (ISVGIM)Version 10.0.1.x Operational Activities
• Administration Activities
• Assist and troubleshoot manual creation of users
• Manual reconciliation or adoption of any target users
• Management of provisioning and password issue
• Creation and management of roles and roles to entitlement mapping
• Management of role owner approver
• Creation and management of user recertification campaigns
• Automate manual process wherever possible.
• Work with technical and business stakeholders to troubleshoot.
• Ongoing maintenance of the existing IBM environment includes.
• Monitoring the reconciliation of the target system
• Monitoring the user feed files
• Add, modify, update provisioning policies wherever necessary in the application.
• Create, modify, update SDI(TDI) assembly lines to maintain the data current.
• Troubleshooting any of the user provisioning and password related processes
• Troubleshooting any application component failures
• Troubleshooting role and access provisioning and revocation.
• Troubleshooting any application component failures
• Coordinating the application of fix packs to IBM Security Verify Governance Identity Manager and its components as required.
• Coordinating the production change and migration activities
• IBM (Tivoli)Security Directory Integrator development and code maintenance.
• IBM Security Verify Access and Federation Module Operational Activities
• Administration Activities
• Create and maintain junctions, groups, ACLs, Objectspace, dynamic URLs, configuration files
• Provide support for the application team to troubleshoot webproxy related issues.
• Setup and troubleshoot SSO federation with SAML 2.0 WS-Federation, and OpenID Connect protocols for federated access.
• Handle federation certificates udates with the clients.
• Setup and maintain Advanced Access Control (AAC) policiesenabled Mobile Multi Factor Authentication (MMFA) data for all user types.
• Ongoing maintenance of the existing environment
• Troubleshooting any of the single sign on and federation related incidents
• Troubleshooting any application component failures
• Coordinating the application of fix packs to IBM Security Verify Access and its components as required
• Coordinating the production change and migration activities
• Troubleshooting access related issues with application team whenever necessary.

Skills that are needed:

• IBM Security Verify Access (v10.0.3 and above) administration for user and access provisioning.
• IBM Security Verify Governance Identity Manager (v10.0.1and above) administration for user and access provisioning.
• IBM Security (Tivoli) Directory Integrator (ISDI) (TDI)
• IBM Security Directory Server (SDS)
• IBM Security Verify Access Federation Module
• Web Sphere Application Server – Network Deployment (WAS-ND)
• IBM DB2 Database Server Version 11.5 and above (DB2), GSKit, update certificate.
• Mainframe RACF administration for user and access provisioning
• Oracle EBS user provisioning
• SAP ECC 6.0 User Security Administration
• Knowledge of Certificate generation.
• Key skills include user account management, group policy management, knowledge of Federation Services (ADFS), LDAP queries, PowerShell scripting, backup and recovery processes, security management, DNS management, and troubleshooting user authentication issues.
• Automation, particularly through PowerShell scripting, enhances efficiency in user management tasks and reduces the likelihood of human error, which is highly desired in IT roles.

Skills that would be nice to have:

• Must have a good understanding of DOS and Bash scripting.
• Support PGP encryption and Secure file transfer using Serv-U
• Microsoft power Apps, Microsoft Power BI
• SAP Hana User provisioning
• Knowledge of DNS, Load balancer, TCP/IP concepts

We are seeking a Senior Machine Learning Engineer to join our team and help shape the future of healthcare technology. In this role, you will design, build, and deploy machine learning systems that power predictive analytics and intelligent decision support in healthcare. You will take ownership of the full ML lifecycle—from data preparation, feature engineering, training, and evaluation to deployment and MLOps practices such as monitoring, scaling, and optimizing production systems. The goal is to ensure that our models are robust, scalable, and cost-efficient.

This position is fully remote, open to candidates based in Europe or India , with periodic team gatherings in Mountain View, California.

• Build reliable, scalable, and reproducible ML pipelines using Python, PySpark, SQL, and Airflow (AWS MWAA).
• Deploy ML models into production to address complex healthcare challenges.
• Design and manage automated workflows with Docker, ECS/Kubernetes, and CI/CD pipelines.
• Collaborate with research teams to transform prototypes into production-ready products.
• Implement monitoring, logging, and retraining workflows; participate in the on-call process to support production ML pipelines.
• Leverage AWS services (S3, SageMaker, Lambda, Athena, etc.) to train, deploy, and serve models.
• Connect models with real-time and batch data sources via APIs and pipelines.
• Contribute to code quality, reviews, and system design discussions.
• Stay current with new tools, research, and best practices in ML, MLOps/LLMOps, and production-scale AI.

• 5+ years of applied machine learning and data science experience, with strong MLOps expertise.
• Proficiency in Python (Pandas, PySpark, LightGBM, PyTorch, HuggingFace, etc.) and SQL.
• Experience with model development, feature engineering, evaluation, and deployment in real-world environments.
• Hands-on expertise with Airflow; additional experience with Prefect, Dagster, Kubeflow, or similar tools is a plus.
• Strong understanding of AWS infrastructure for ML (S3, SageMaker, ECS, Step Functions).
• Experience with Docker and Kubernetes/ECS for packaging and deploying models.
• Familiarity with CI/CD for ML (e.g., CircleCI, MLflow, model versioning, testing, automation).
• Willingness to participate in the on-call rotation for ML pipeline monitoring and support.
• Strong communication skills and ability to thrive in fast-paced, cross-functional teams.
• If you’re passionate about building scalable ML systems that make a real-world impact in healthcare, we’d love to hear from you.

Website

Job Title: Java Developer/Engineer with GCP/AWS/Azure

Location: Remote

Expereince-4+Years

Role Overview

We are looking for a strong Java engineer with hands-on experience in Functional Programming , Microservices architecture , and Cloud deployment patterns . This role requires a deep understanding of Java's modern capabilities (including Java 21 features), event-driven architectures (Kafka), and cloud-native development (preferably GCP/AWS/Azure ).

You will be part of a high-performing team delivering scalable backend solutions for CLIENT, a global financial services leader that is undergoing a major modernization effort in its Collateral and Risk Management space.

Key Responsibilities

• Design and implement microservices using modern Java functional programming concepts.
• Collaborate on event-driven systems using Kafka and apply architectural patterns like Choreography , Strangler , and Sidecar .
• Participate in code reviews, design discussions, and knowledge-sharing sessions.
• Develop and deploy applications in GCP (or any public cloud) using services like Cloud Run , GKE , GCS , etc.
• Write clean, testable, and scalable code with emphasis on readability and maintainability.
• Contribute to the adoption of modern Java features, including Pattern Matching , Records , and Record Patterns .
• Demonstrate a foundational understanding of deployment patterns and CI/CD pipelines in cloud environments.

Technical Requirements

Core Java & Functional Programming

• Deep understanding of Java Streams , Functional Interfaces , Lambda expressions , Supplier , Consumer , Function , and reduce operations.
• Experience with newer Java features (preferably Java 17+; familiarity with Java 21 is a plus).
• Proficiency in immutable data structures , pure functions , and clean code principles.

Microservices & Architecture

• Strong knowledge of microservices design patterns including:
• Choreography (Kafka-based)
• Strangler Pattern
• Sidecar Pattern
• Hands-on experience with Kafka or other message brokers in an Event-Driven Architecture (EDA) .

Cloud & DevOps

• Hands-on experience deploying applications in GCP or another cloud provider (AWS, Azure).
• Familiarity with Cloud Run , GKE , GCS , or equivalents in other clouds.
• Understanding of deployment automation , infrastructure as code , and CI/CD best practices .

Job description

At American Journal Experts (AJE, powered by MPS), we help researchers successfully communicate their work through trusted author-oriented solutions to overcome the barriers to the manuscript preparation process. We are actively recruiting Quality Control Inspectors (QCIs) with field-specific expertise.

QCIs execute and advise on quality control strategies by monitoring English language quality in academic manuscripts to ensure that our output and systems are achieving AJE standards. They monitor and provide feedback on contractor quality and exercise judgment on contractor adherence to AJE quality standards. QCIs utilize the latest technology supplied by AJE to support high-efficiency, target-quality edits. QCIs support a dynamic and evolving part of AJE operations.

This is a full-time position with both In Office and Work-from-Office options available.

Please apply through the link below:

The salary range is 400,000 to 800,000 INR/year.

What QCIs deliver:

• Above-and-beyond service to meet our customers needs
• Timely completion of QC edits to ensure quick return to customers
• QC edits that meet internal quality standards and product specifications
• Clear communication with managers and process stakeholders

PRIMARY RESPONSIBILITIES:

• Execute and advise on quality control strategies by monitoring English language quality in academic manuscripts to ensure that our output and systems are achieving AJE standards
• Monitor contractor quality and exercise judgment on adherence to AJE quality standards
• Utilize the latest technology supplied by AJE to support high-efficiency, target-quality edits
• Support a dynamic and evolving part of AJE operations

QUALIFICATION/SKILL REQUIREMENTS :

Quality Control is a dynamic function that requires active problem solving and process improvement. Successful QCIs will meet the following criteria:

• Higher degree in a field of science or learning, including biological sciences, medicine, and physical sciences
• Detail-oriented, tech-savvy, and adaptable to learning and implementing new software solutions
• Experience with Microsoft Word
• Strong writing and proofreading skills
• Native level fluency in English
• Excellent written and oral communication skills, as well as the ability to work independently to meet customer deadlines
• Excellent time management and the ability to handle occasional urgent tasks quickly and accurately

Ideal candidate:

• Self-motivated: work efficiently and manage time effectively, using self-imposed and customer deadlines
• Curious and reflective: willing to learn from others and ask for help when necessary (in balance with good independent problem-solving ability); appreciative of feedback
• Computer savvy: able to work quickly and efficiently using internet resources and Microsoft tools
• Service-oriented: genuinely care about our customers and their publishing goals
• Editorially intuitive: able to quickly decipher what the author means to convey and to distinguish value-adding from unnecessary edits
• Passionate about editing: enjoy the editing process and are driven to consistently produce a high-quality product

Role: Video Editor + Post Production Manager (Full-Time Role)

Salary: 30K/month + Overtime Bonus

We’re looking for a deeply committed video editor-manager, someone who genuinely loves the craft, thrives under pressure, and can handle chaos like a pro. This isn’t your typical 9-to-5 job. it’s pure grind role with 24*7 Availability.

If you’re the kind of person who can stay sharp even at 2 AM when a client review suddenly comes up, and you take pride in fixing edits no matter what it takes, you’ll fit right in.

What we need :

• Expert-level video editing skills
• Fluency in English
• Expert in Excel
• Someone who doesn’t wait to be told twice
• Ability to manage editors, deadlines, and last-minute chaos calmly
• Flexibility to work odd hours when the project demands it.

Details :

• Salary: ₹30,000 per month
• Overtime pay for extra hours
• Weekly off on Sunday (though you might get a 12:01 AM Monday call sometimes)
• Fully remote, fast-paced environment

We’re scaling fast and looking for someone who wants to build something massive, not just do a job. If you’ve got the stamina, skill, and fire to make things happen, we’d love to talk.

Disclaimer: It's not going to be easy as you think, please think twice before you apply.

Job Description:

We are seeking a highly skilled and motivated AI Engineer with expertise in large language models (LLMs), AI workflows, and machine learning. This role combines deep technical knowledge in ML/AI with hands-on experience building intelligent, production-ready systems that enhance cybersecurity investigation, prioritization, and response. You will work at the intersection of LLM-driven automation, workflow orchestration, and classical ML models to improve how alerts are prioritized, classified, and contextualized—reducing fatigue and enabling faster, more effective decision-making.

Your work will directly influence the development of agentic AI systems, workflow automation, and recommendation engines within cloud security platform.

Key Responsibilities

LLM Integration & Workflows:

Build, fine-tune, and integrate large language models (LLMs) into existing systems.

Develop agentic workflows for investigation, classification, and automated response in cybersecurity.

Apply techniques like retrieval-augmented generation (RAG), prompt engineering, and fine-tuning for domain-specific tasks.

Machine Learning Development:

Design, implement, and optimize ML models for prioritization, ranking, clustering, anomaly detection, and classification.

Apply both classical forecasting models (AR, ARIMA, SARIMA, ES) and modern architectures (XGBoost, LSTM, DeepAR, N-BEATS, Temporal Fusion Transformer).

Data Preparation & Feature Engineering:

Collect, preprocess, and transform structured and unstructured data (including logs, text, and access patterns).

Engineer features to maximize model interpretability and performance.

Model Training, Evaluation, and Deployment:

Train and evaluate models using rigorous metrics (precision, recall, AUC, F1, etc.).

Optimize hyperparameters and fine-tune LLMs for task-specific improvements.

Deploy ML/LLM models into production at scale with strong monitoring, drift detection, and observability.

Collaboration & Documentation:

Work closely with data scientists, ML engineers, security researchers, and software teams to build end-to-end solutions.

Document models, workflows, and pipelines for clarity, reproducibility, and knowledge sharing.

Requirements

Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

5+ years of experience in ML/AI, including 3+ years deploying production-grade systems.

Experience contributing to publications (patents, libraries, or peer-reviewed papers) is a plus.

Strong knowledge of machine learning algorithms for classification, clustering, ranking, and anomaly detection.

Proficiency with LLM frameworks and APIs (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex).

Hands-on experience building workflow automation with LLMs and integrating them into applications.

Solid programming skills in Python (experience with PyTorch, TensorFlow, scikit-learn).

Knowledge of NLP tasks (text classification, summarization, embeddings, semantic search).

Experience with recommendation systems or reinforcement learning is a strong plus.

Proven track record of deploying ML/AI models into production environments with scalability in mind.

Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes).

Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining strategies).

Strong problem-solving and analytical mindset.

Excellent communication and teamwork skills.

Ability to work in a fast-paced, evolving startup environment.

Write to me at for more details.