Cobol Developer

Requirements

• 12+ years of overall SAP consulting/architecture experience, with at least 4–5 years on SAP BTP and its predecessor (HCP/SCP).
• Minimum 3 full-cycle SAP BTP implementation projects as Solution/Integration Architect or Technical Lead in large enterprise environments.
• Hands-on delivery experience with SAP AI Core or at least 2 production AI/ML implementations in the SAP ecosystem (not just POC/demo).
• Deep familiarity with SAP S/4HANA cloud integration patterns, side-by-side extensibility, and ABAP-to-BTP migration strategies.
• Experience leading architecture design sessions, reviewing technical deliverables, and owning solution blueprints for enterprise clients.
• Exposure to multi-cloud environments and ability to design hybrid landscapes integrating SAP BTP with hyperscalers.
• Prior client-facing consulting or practice-building experience in a Big 4, SAP partner, or independent software vendor context preferred.

Roles & Responsibilities

• Contribute to IP creation — accelerators, reusable assets, reference architectures, and practice-building initiatives.
• Design BTP solution architectures covering SAP Integration Suite, Extension Suite, Data and Analytics cloud, and SAP Build portfolio.
• Architect and deploy SAP AI Core pipelines — model serving, ML Ops workflows, and custom inference endpoints in production.
• Lead development of cloud integration flows using SAP Integration Suite (CPI), API Management, and Event Mesh for hybrid and multi-cloud landscapes.
• Drive SAP BTP subaccount strategy, environment provisioning, identity and access management (IAS/IPS), and security posture.
• Define and govern integration patterns — synchronous/asynchronous, event-driven, point-to-point, and hub-and-spoke models.
• Enable AI use cases using SAP AI Launchpad, Foundation Models, and third-party LLM integrations via BTP Generative AI Hub.
• Build and mentor a team of consultants and developers; run architecture workshops, enablement sessions, and CoE activities.
• Evaluate and recommend SAP BTP service mix against custom cloud-native alternatives to optimize TCO and roadmap alignment.
• Stay current with SAP roadmap, RISE with SAP, GROW with SAP, and relevant cloud platform evolution (AWS, Azure, GCP).

Certifications 

• Preferred / expected - C_BTP_2408 — SAP Certified Associate, BTP ; P_BTP_2408 — SAP Certified Professional, BTP ; C_AIG_2412 — SAP AI & GenAI ; C_ARCIG_2404 — SAP Integration Solution Architect ; C_HANADEV — SAP HANA Cloud Developer
• Good to have - AWS Solutions Architect, Azure / GCP Professional ; SAP Analytics Cloud

Key Responsibilities:

1️⃣ Recruitment & Onboarding – Sourcing candidates, conducting interviews, and managing new hire onboarding.

2️⃣ Employee Engagement – Organizing team activities, feedback sessions, and HR initiatives.

3️⃣ Payroll & Compliance – Managing salary processing, attendance, and statutory compliance.

4️⃣ Performance Management – Assisting in appraisals, goal setting, and feedback collection.

5️⃣ HR Policies & Documentation – Maintaining employee records, drafting policies, and handling grievances.

6️⃣ Training & Development – Coordinating learning programs and skill development sessions.

7️⃣ Exit Process Management – Handling resignations, full & final settlements, and exit interviews.

Role: Azure AI Tech Lead

Exp-3.5-7 Years

Location: Remote / Noida (NCR)

Notice Period: Immediate to 15 days

Mandatory Skills: Python, Azure AI/ML, PyTorch, TensorFlow, JAX, HuggingFace, LangChain, Kubeflow, MLflow, LLMs, RAG, MLOps, Docker, Kubernetes, Generative AI, Model Deployment, Prometheus, Grafana

JOB DESCRIPTION

As the Azure AI Tech Lead, you will serve as the principal technical expert leading the design, development, and deployment of advanced AI and ML solutions on the Microsoft Azure platform. You will guide a team of engineers, establish robust architectures, and drive end-to-end implementation of AI projects—transforming proof-of-concepts into scalable, production-ready systems.

Key Responsibilities:

• Lead architectural design and development of AI/ML solutions using Azure AI, Azure OpenAI, and Cognitive Services.
• Develop and deploy scalable AI systems with best practices in MLOps across the full model lifecycle.
• Mentor and upskill AI/ML engineers through technical reviews, training, and guidance.
• Implement advanced generative AI techniques including LLM fine-tuning, RAG systems, and diffusion models.
• Collaborate cross-functionally to translate business goals into innovative AI solutions.
• Enforce governance, responsible AI practices, and performance optimization standards.
• Stay ahead of trends in LLMs, agentic AI, and applied research to shape next-gen solutions.

Qualifications:

• Bachelor’s or Master’s in Computer Science or related field.
• 3.5–7 years of experience delivering end-to-end AI/ML solutions.
• Strong expertise in Azure AI ecosystem and production-grade model deployment.
• Deep technical understanding of ML, DL, Generative AI, and MLOps pipelines.
• Excellent analytical and problem-solving abilities; applied research or open-source contributions preferred.

DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.

At Least 4 Years of experience in DevOps with knowledge of:

• Docker
• Docker Cloud / Containerization
• DevOps Best Practices
• Distributed Applications
• Deployment Architecture
• Atleast AWS Experience
• Exposure to Kubernetes / Serverless Architecture

Skills:

• 3-7+ years of experience in DevOps Engineering
• Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
• Experience with Docker Swarm, Docker Compose, Docker Engine
• Experience with Provisioning and managing VM's - Virtual Machines
• Experience / strong knowledge with Network Topologies, Network Research,
• Jenkins, BitBucket, Jira
• Ansible or other Automation Configuration Management System tools
• Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
• Linux Systems Administration -: Redhat

Additional Preference:

Security, SSL configuration, Best Practices

❖ Bachelor's degree in computer science, information technology, or a related field.

❖ 3-5 years of experience in Encompass developer role.

❖ Experience with programming languages such as C#, JavaScript, and SQL, Encompass SDK

❖ Strong understanding of the Encompass system and its capabilities.

❖ Excellent technical, problem-solving, and communication skills.

❖ Ability to work closely with other departments and stakeholders within the organization.

❖ Analytical and data-driven mindset.

❖ Knowledge of mortgage industry regulations and compliance requirements

Join us in making the fastest fashion brand on earth. We live & breathe trends. Working on 3D Virtual Design Technology we launch new trends even before they're produced. Making us the only fast fashion brand to be sustainable at the same time. Enabling young shoppers, first-hand access to latest styles with our Digital Only Collection.

We waste nothing but data & exploit nothing but our imagination. We operate at the intersection of fashion & technology. #SpeakSomethingNew is our mantra.

We're looking for a production ninja who can look after order management, production and sourcing. We don't hire many. A small, highly passionate team working to redefine fashion. Apply only if you can execute at breakneck speed, can handle stress, highly passionate about fashion-tech.

Job Description:
Requirements

Daily report to the Directors with the daily schedule execution plan.

Overseeing the production process

Ensuring the overall production is cost effective & meeting quality standards.

Drawing up a production schedule keeping the TAT in mind.

Working out the human and material resources needed

Being responsible for the selection and timely maintenance of equipment.

Looking after job works / team (such as printing, embroidery) and taking decisions on selection vendors for job work.

Supervising and motivating a team of workers

Identify training needed, if any.

Managing stock control and inventory checks of raw materials and finished goods.

Processing & Managing E-commerce portal. Which includes managing day-to-day order processing.

Managing order, delivery partner dashboards. Generating shipping labels and tracking dispatches.

Handling customer requests of exchange and returns.

Coordinate customer operations to track exceptions. Keep a record of customer interaction, transaction, comments, and complaints

Desired Candidate Profile:

• Candidate from the Garment /fashion industry is surely required.

• Sound knowledge of Mens Wear Cutting & stitching

• Should have excellent leadership, administrative, interpersonal and relationship management skills.

• Good communication skills

Skills and Interests:

Must be able to multitask

Have a certain amount of professionalism

Be able to manage time and people efficiently

Be willing to adapt and collaborate with factory environment

Have garment production and planning management experience

Be able to prepare reports and plan

Able to work under pressure

Good at managing budgets

Have good communication and presentation skills

Have a positive attitude to work and be able to motivate a team

• Project Management Experience in managing teams of sizes 10-12 people in multiple domains. Managed international projects in mobile and web.
•     Knowledge of UI / UX process
•     Knowledge of Cloud Deployments - AWS, Azure, Docker
•     Knowledge on creating SRS / Scope Documents, Functional specification, technical architecture and project estimations.
•     Knowledge on Mobile Technologies (IOS/Android/Hybrid/Shell apps)
•     Hands on experience on working with SOAP and REST web services (XML/JSON)