11+ Apache TomEE Jobs in India

• Experience with Dassault Enovia system administration in a windows environment
• Enovia 3DEXPERIENCE installations, upgrades, service pack installations and license management
• Experience in setting and maintaining TomEE and Apache Webservers
• Understanding of and familiarity with engineering product design, development, and manufacturing processes strongly preferred
• Interaction experience with Dassault on Service Requests is add advantage
• Generating and maintaining configuration management records for Enovia 3DEXPERIENCE system admin
• Strong Knowledge on MQL and TCL
• Added Advantage on Installation for new Enovia version above R2017x.
• Knowledge on Build deployments and Github repository.
• Working on Engineering and Manufacturing Central added Advantage.
• Strong interpersonal and verbal/written communication skills required.
• Demonstrate excellent communication skills including the ability to effectively communicate with internal team and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
• Strong work ethic with good time management with ability to work with diverse teams and lead meetings.
• CAD integrations, Unified Product Structure, IIP Classification

Responsibilities:

• Work on customization and configuration of Engineering & Manufacturing central.
• Good experience in Core Java, J2EE, JSP, Servlets, Java Script, jQuery, MySQL/Oracle DB, HTML, XML, CSS

We're Hiring: Pricing Executive

📍 Location: Belapur / Navi Mumbai

🏢 Company: SC Lines Shipping and Logistics Pvt. Ltd.

We are looking for a Pricing Executive with a strong background in Shipping & Logistics, specifically in NVOCC and Freight Forwarding Operations.

Experience Required:

🔧 2 to 5 years as Pricing Executive pricing, freight forwarding, shipping, or logistics.

Key Responsibilities:

·       Prepare Freight Quotations: Analyse and prepare tailored freight pricing (FCL/LCL/REEFER/SPECIAL equipment) for export/import shipments.

·       Liaise with Carriers & Partners: Handle spot rate requests and liaise with shipping lines

·       Pricing Strategy Support: Work with the team to develop pricing strategies that meet profitability targets and reflect current market trends.

·       Rate Management: Maintain and update pricing databases, tariffs, and rate sheets for different trade lanes and services.

·       Quotation Follow-up: Support the sales team with timely follow-up on quotations to improve conversion rates and gather market intelligence.

·       Reporting and Documentation

Candidate Profile:

✅ Prior experience with NVOCC operations

✅ Understanding of freight forwarding processes

✅ Strong coordination and negotiation skills

Senior Generative AI Engineer

Job Id: QX016

About Us:

The QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them.

Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Job Summary:

We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions.

Responsibilities:

·        Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics

·        Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers).

·        Handle data preprocessing, augmentation, and synthetic data generation.

·        Work with NLP, text generation, and contextual comprehension tasks.

·        Develop backend services using Python or .NET for LLM-powered applications.

·        Build and deploy AI applications on cloud platforms (Azure, AWS, GCP).

·        Optimize AI pipelines and ensure scalability.

·        Stay updated with advancements in AI and ML.

Skills & Requirements:

• Strong knowledge of machine learning, deep learning, and NLP.
• Proficiency in Python, TensorFlow, PyTorch, and Keras.
• Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment.
• Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG).
• Ability to work independently and as part of a team.
• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
• 6+ years of experience in Gen AI, or related roles.
• Experience with AI/ML model integration into data pipelines.

Core Competencies for Generative AI Engineers:

1.      Programming & Software Development

a.      Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.

b.      LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.

c.      API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.

d.      Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing.

2.      Vector Database & Cloud AI Solutions

a.      Pinecone, FAISS, ChromaDB, Neo4j

b.      Azure Redis/ Cognitive Search

c.      Azure OpenAI Service

d.      Azure ML Studio Models

e.      AWS (Relevant Services)

3.      Data Engineering & Processing

1. Handling large-scale structured & unstructured datasets.
2. Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
3. Feature engineering and data augmentation techniques.

4.      NLP & Computer Vision

1. NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
2. CV: Image generation using GANs, VAEs, Stable Diffusion.
3. Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
4. Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
5. Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
6. Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.

5.      Model Deployment & Optimization

1. Model compression (quantization, pruning, distillation).
2. Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
3. Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
4. API integration with front-end applications.

6.      AI Ethics & Responsible AI

1. Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).

7.      Mathematics & Statistics

1. Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).

8.      Machine Learning & Deep Learning

a.      Expertise in supervised, unsupervised, and reinforcement learning.

a.      Proficiency in TensorFlow, PyTorch, and JAX.

b.      Experience with Transformers, GANs, VAEs, Diffusion Models, and LLMs (GPT, BERT, T5).

Personal Attributes:

• Strong problem-solving skills with a passion for data architecture.
• Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
• Highly collaborative, capable of working with cross-functional teams.
• Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Ready to make an impact? Apply today and become part of the QX impact team!

We are looking for skilled Full stack Developer to join our team. The successful candidate will be responsible for developing, maintaining, and scaling our server-side application logic using Python and related frameworks. As a full-stack developer, you will work closely with front-end developers, data scientists, and project managers to develop scalable and reliable software solutions.

Responsibilities:

Developing and maintaining server-side application logic using Python and related frameworks

Designing and implementing APIs and web services using RESTful principles

Collaborating with front-end developers to integrate user-facing elements with server-side logic

Designing and implementing efficient database schemas and queries

Developing and maintaining automated testing and deployment pipelines

Ensuring high performance and scalability of software applications

Having knowledge of Node.js will be added advantage

Troubleshooting and debugging software issues

Staying up-to-date with emerging trends and technologies in backend development

Requirements:

Strong experience with Python and related frameworks such as Flask, Django, or Pyramid

Proficient understanding of SQL and NoSQL databases

Experience with AWS or other cloud platforms

Familiarity with version control systems such as Git

Excellent problem-solving and debugging skills

Strong communication and collaboration skills

Ability to work in a fast-paced, collaborative environment

If you are a passionate Backend Python Developer with a strong desire to work on complex, challenging problems, we encourage you to apply.

What you need to have:

As a front end product engineer, you will work with product engineers & designers to improve the overall user experience, performance, reliability and scalability of our systems. From handling millions of messages/ payments a minute to extract buyer intent and priority for processing these transactions to building tools to trace and visualize payments made across a business you'll be involved in projects that span all aspects of the business. Our goals includes scaling and architecting systems to support advanced product features that may not be currently viable because of hard technical considerations. You'll collaborate with our small, but effective, framework team with a track record of highly impactful work for Finly.

WITHIN 1 MONTH, YOU'LL

• Complete Finly's new-hire training week, and learn Accounts Payable Processes & the various partners we work with to make Finly happen.
• Investigate, solve and release a bug fix to production. In order to do this you will ramp up on Finly's engineering stack by pair-programming with your teammates and attending engineering training sessions designed and presented by the team.
• Meet with cross-functional peers around the company to learn how the product functions.
• Complete your engineering starter project and deploy your first changes to production.

WITHIN 3 MONTHs, YOU'LL

• Learn Finly's technical stack and apply development patterns through your work.
• Engage in your first on-call rotation in Support Engineering to help diagnose and resolve production problems and customer issues
• Individually contribute reliably ship full features to customers.
• Estimate technical scope and time to complete major features and initiatives.

WITHIN 6 MONTHS, YOU'LL

• Move to new product vertical & initiative and start designing scalable frontend systems.
• Have made a visible impact on the product for all the users of Finly.
• Work closely with your team to remove roadblocks, educate on best practices and improve how we work.
• Be comfortable navigating most of frontend stack and infrastructure
• Be responsible for the planning, scoping, design, and implementation of new features
• Participate in interviewing and hiring, as a way to influence team growth and how our values inform our culture

WITHIN 12 MONTHS, YOU'LL

• Individually contribute and lead teams to reliably ship full improvements to our frontend services
• Define tools and standards for product engineering to measure performance impact of releases
• Drive service reliability by developing tooling that enables metric visibility using SLIs, SLOs, and SLAs
• Developing Production Readiness standards to ensure service reliability
• Help grow other engineers technically by mentoring, pairing and developing other learning opportunities
• Collaborate with engineering and product leadership to define priorities and set delivery goals

Your understanding of front-end technologies, web application dev, system design, will be put to the test. You will take up a project for a team and then move to another project.

Join us & have the authority and responsibility to make things happen!

CommerceIQ is Hiring Data Scientist (3-5 yrs)

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.

Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles

• Work on data science roadmap and build the core engine of our flagship CommerceIQ product

• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept

• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems

• Work with large scale ecommerce data of the biggest brands on amazon

• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems

• Drive productization of techniques to be made available to a wide range of customers

• You would be working with and mentoring fellow team members on the owned charter

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers

• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage

• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required

• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage

• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects

• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact

• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
• Data scientist, Machine Learning, data science, data analyst

Job Type: Full-time

Experience:

• Data Scientist: 3 years (Required)

Application Question:

• Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)