AI/ML Developer

HubBroker ApS; Ahmedabad District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

HubBroker IT Solutions Private Limited in Ahmadabad City, India is seeking an AI/ML Developer to join our team. You will work on NLP and machine learning projects, build prototypes, and evaluate models with a focus on text processing and information extraction.

The role requires a strong Python background, knowledge of NLP concepts, and experience with ML libraries. Collaboration with data scientists and developers is expected.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Strong understanding of Python programming and common data structures.
• Basic knowledge of machine learning concepts, including supervised/unsupervised learning, model evaluation, overfitting, and feature engineering.
• Familiarity with NLP concepts such as text preprocessing, tokenization, stemming/lemmatization, text classification, NER, sentiment analysis, information extraction, embeddings.

Responsibilities

• Assist in developing and improving NLP and machine learning solutions.
• Prepare, clean, label, and validate text datasets.
• Train, evaluate, and fine-tune ML and transformer-based models.
• Build prototypes for text classification, information extraction, chatbots, semantic search, summarization, and other NLP apps.
• Support development of LLM and Retrieval-Augmented Generation pipelines.
• Perform model testing, error analysis, and performance optimization.
• Integrate AI models with internal products and APIs.
• Document experiments, model configurations, datasets, and findings.
• Collaborate with senior developers, data scientists, and product teams.
• Stay updated with NLP and generative AI developments.

Skills

Python programming

NLP concepts

Text preprocessing

Tokenization

Stemming

Lemmatization

Text classification

Named Entity Recognition

Sentiment analysis

Information extraction

Text embeddings

REST APIs

Git

Analytical skills

Communication

Education

Bachelor’s degree in Computer Science, AI, ML, Data Science, or related field

Tools

Scikit-learn

Pandas

NumPy

NLTK

spaCy

Hugging Face Transformers

PyTorch

TensorFlow

FAISS

Job description

HubBroker IT Solutions Private Limited | Full time

AI/ML Developer

Ahmadabad City, India | Posted on 07/28/2026

HubBroker ApS is a Cloud Service Broker that offers data integration solutions to companies that need to interact with trading partners via a digital transformation process.

HubBrokerApS was started in 2012, and currently has offices in Denmark and India.

Our core business is cloud integration. We offer our customers a cloud platform (iPaaS) for the transmission and integration of data between businesses. We always give data integration solutions with no investment. or hardware and software installation. We always follow strict criteria of transparency, efficiency, and professionalism.

Customers prefer our data integration tools as we are surpassing borders, technical complexities, and legislative nuances. We achieve this through the robustness of our human power and resources. Moreover, it provides us with the capacity to attend to thousands of trading partners each day.

Job Description

Required Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  
• Strong understanding of Python programming and common data structures.
  
• Basic knowledge of machine learning concepts, including supervised learning, unsupervised learning, model evaluation, overfitting, and feature engineering.
  
• Familiarity with Natural Language Processing concepts such as:
  • Text preprocessing and normalization
    
  • Tokenization, stemming, and lemmatization
    
  • Text classification
    
  • Named Entity Recognition
    
  • Sentiment analysis
    
  • Information extraction
    
  • Semantic similarity and text embeddings
    
• Experience with machine learning and NLP libraries such as:
  • Scikit-learn
    
  • Pandas and NumPy
    
  • NLTK or spaCy
    
  • Hugging Face Transformers
    
  • PyTorch or TensorFlow
    
• Basic understanding of transformer-based models, including BERT, T5, GPT-style models, or similar architectures.
  
• Familiarity with prompt engineering, large language models, and generative AI applications.
  
• Ability to clean, preprocess, label, and analyze text datasets.
  
• Understanding of common NLP evaluation metrics, including precision, recall, F1-score, accuracy, BLEU, ROUGE, and perplexity.
  
• Basic knowledge of REST APIs and experience integrating machine learning models into applications.
  
• Familiarity with Git and collaborative software development workflows.
  
• Strong analytical and problem-solving skills.
  
• Ability to read technical documentation and research papers.
  
• Good written and verbal communication skills.
  
• Willingness to learn new tools, models, and AI development practices.
  

Preferred Qualifications

• Academic, internship, or personal project experience in NLP or generative AI.
  
• Experience fine-tuning pretrained transformer models.
  
• Familiarity with vector databases and semantic search tools such as FAISS, Chroma, Pinecone, Weaviate, or similar platforms.
  
• Basic understanding of Retrieval-Augmented Generation systems.
  
• Exposure to LLM frameworks such as LangChain, LlamaIndex, or similar tools.
  
• Familiarity with data annotation, dataset quality validation, and model error analysis.
  
• Basic understanding of SQL, databases, Linux, Docker, and cloud platforms.
  
• Experience deploying models using FastAPI, Flask, or similar frameworks.
  
• Familiarity with experiment tracking and model versioning tools.
  
• Knowledge of responsible AI principles, including bias, privacy, security, and model hallucination management.
  

Requirements

Expected Responsibilities

• Assist in developing and improving NLP and machine learning solutions.
  
• Prepare, clean, label, and validate text datasets.
  
• Train, evaluate, and fine-tune machine learning and transformer-based models.
  
• Build prototypes for text classification, information extraction, chatbots, semantic search, summarization, and other NLP applications.
  
• Support the development of LLM and Retrieval-Augmented Generation pipelines.
  
• Perform model testing, error analysis, and performance optimization.
  
• Integrate AI models with internal products and APIs.
  
• Document experiments, model configurations, datasets, and technical findings.
  
• Collaborate with senior developers, data scientists, and product teams.
  
• Stay updated with developments in NLP, large language models, and generative AI.