11+ WIP Jobs in India

• 6 - 10 years’ experience in Oracle EBS (Techno-Functional)
• Experience in implementation, Support, and upgrade projects
• Experience at least in 2 R12.2 upgrade projects.
• Experience in Oracle EBS R12.2.7 or Higher versions of R12.
• Strong knowledge in SQL/PLSQL, Reports, Forms, and workflow. OAF is added advantage.
• At least 40% functional knowledge in SCM and Manufacturing (Modules: PO, OM, INV, WIP, BOM, Quality and Engineering)
• Excellent verbal and written communication skills

What we're looking for

Hanomi builds software that automatically generates 2D engineering drawings from 3D CAD models. We've raised venture funding, have paying manufacturing customers across India and internationally, and just shipped drawing automation to production. We're a team of 8 engineers moving fast toward scaling this to thousands of drawings per day. You'll work on real parts that go to real factory floors - where a wrong dimension means a scrapped part and a missed shipment. It's demanding work with real accountability, but if you're the kind of person who gets fired up by solving hard problems across multiple technical domains and seeing a team ship consistently, you'll fit right in.

We're looking for a person to lead engineering execution. This role is on-site at our Bengaluru office.

You'll work directly with our CTO to turn product priorities into shipped software. This isn't a management-from-a-distance role - you'll plan sprints and hold people accountable, but you'll also roll up your sleeves to debug, brainstorm algorithmic approaches, and review PRs with enough depth to catch when something doesn't fit.

Engineering Lead:

In this role, you will:

Own engineering execution across the team:

·        Plan sprints, set timelines, track progress, and hold people accountable

·        Run gate reviews before production deploys and flag risks before they become misses

·        Coordinate between our algo team and platform team

·        Be the person who makes sure things ship by being close enough to the work to know when something's going wrong

Roll up your sleeves and build alongside the team:

·        Debug production issues together with engineers, not delegate and wait

·        Brainstorm algorithmic approaches and review PRs deeply enough to catch integration issues

·        Jump into the codebase when something's blocked, you're not above writing code to unblock a sprint

Bring technical depth across algorithms and platform:

·        Understand mechanical engineering concepts well enough to question whether an approach makes sense for different manufacturing processes

·        Have experience scaling platforms - deployment pipelines, reliability, monitoring, the infrastructure that keeps a product running for paying customers

·        Ideally have worked on desktop applications or integrations with CAD software APIs

Make the team better over time:

·        Give direct, specific feedback - including the uncomfortable kind

·        Know when an engineer needs clearer specs vs more autonomy vs a push

·        Identify process gaps and fix them without adding bureaucracy

Note given that we are a startup, the exact job match will depend on your skills and interest (there is always too much to do!).

Requirements:

·        5-7 years in software engineering, with experience leading teams of 5–10 engineers

·        Strong Python - comfortable reading and contributing to algorithm code

·        Experience scaling platforms that serve real customers with reliability requirements

·        Exposure to mechanical engineering or CAD/PLM domains - you don't need to be a mech engineer, but you should understand what an engineering drawing represents and why correctness matters

·        Desktop application development or API integrations with CAD software is a strong plus

·        You still enjoy building - this is a hands-on leadership role where you're expected to contribute technically

·        Startup experience preferred - you know the difference between useful process and process theater

Preferred Qualifications:

·        Background in 3D / manufacturing

·        Experience with computational geometry / 3D modelling workflows 

·        You've managed engineers who are deep specialists and earned their respect through technical credibility, not just title

·        You use AI tools in your daily workflow - Claude Code, Cursor

Preferably in Defence and Aerospace Industry

Qualification

• MBA in Human Resources, Graduate in Science(Preferred)

Key Responsibilities:

Talent Acquisition

• Partner with hiring managers to understand manpower requirements and develop effective hiring strategies.

• Source candidates through job portals, LinkedIn, employee referrals, recruitment agencies, and social media.

• Screen resumes, conduct preliminary interviews, coordinate technical interviews, and manage candidate communication.

• Maintain recruitment dashboards, MIS reports, hiring metrics, and recruitment trackers.

• Build and maintain a talent pipeline for critical and niche positions.

• Coordinate internship programs, and apprenticeship initiatives.

HR Generalist

• Manage employee onboarding, induction, and joining formalities.

• Support probation confirmation, performance appraisal, and employee development initiatives.

• Coordinate employee engagement activities and welfare programs.

• Plan and coordinate skills development programs and team building activities.

• Proficient is handling HRMS software, MS Office

• Handle employee queries related to HR policies and procedures.

• Maintain employee records and ensure HR documentation compliance.

• Support HR audits and statutory compliance activities.

• Assist in implementing HR policies and process improvements.

• Coordinate exit formalities, full and final settlement documentation, and exit interviews.

• Work closely with payroll, administration, and business leaders to ensure smooth HR operations.

Role: Oracle HCM Functional

Location: Hyderabad

Responsibilities

- As a Subject Matter Expert:

1. Should have Strong functional Experience (Configuration & Solution) in HCM Cloud

·        Must Have: Benefits, Compensation

2. Should have around 6 yrs experience working in Support Projects

3. Good understanding of the HCM Business Processes.

4. Good experience in handling Clients on - Requirements, Solution, Support Issues, Demo

5. Good experience working on Requirements, Functional Design documents & End to end Functional Testing.

6. Understanding of Offshore – Onsite Delivery model is an advantage.

7. Though not a complete Technical – should be able to query the data for analysis/debug.

8. Generic:

a. Strong communication and Client Interaction skills.

b. Should be an Active Team Player with a good attitude and aggressive mind set,

c. Ability to learn quickly and deliver.

9. Experience: around 6 years

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Must have experience in Leather or garment export house.

· Export Documentation: Prepare and manage all pre-shipment and post-shipment export documents, including invoices, packing lists, Bill of Lading, Certificate of Origin, and other required shipping documents.

· Coordination with Buyers & Shipping Lines: Communicate with buyers, freight forwarders, customs agents, and shipping lines to ensure timely shipment and smooth documentation processing.

· Customs & Compliance: Ensure compliance with export regulations, customs laws, and DGFT policies. Handle export incentives, duty drawbacks, and export obligations.

· Banking & Payment Processing: Handle LC (Letter of Credit), bank negotiations, remittances, and documentation required for payment processing.

· Coordination with Internal Teams: Work closely with production, logistics, and finance teams to ensure the timely execution of export orders.

· Tracking & Reporting: Maintain shipment records, track shipments, and update management on export status.

· Client Communication: Handle buyer queries related to export documentation, shipping, and compliance.

mail updated resume with current salary-

email: jobs[at]glansolutions[dot]com

satish: 88 O2 74 97 43