About Company
Papigen
is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and dynamic areas like Cloud, Big Data, Java, React, DevOps, and more. Our client-centric approach combines consulting, engineering, and data science to help businesses evolve and scale efficiently. We support flexible engagement models including Time & Material, Staff Augmentation, and SoW-based Managed Services.
About The Role
We’re hiring a
Senior Machine Learning Developer
to join our data modernization and AI engineering team. In this role, you will design, develop, and deploy ML models and intelligent systems that drive next-gen financial insights. You will work with structured and unstructured data on a secure cloud-based infrastructure leveraging
Azure ML
,
Python
, and
modern NLP/AI frameworks
.
Key Responsibilities
- Build, train, and implement ML/NLP models for classification, clustering, and text analysis
- Work with large-scale financial data and develop intelligent automation solutions
- Clean, normalize, and validate structured and unstructured datasets
- Build and consume REST APIs for ML services
- Integrate Azure AI services including Cognitive Services, OpenAI, and Form Recognizer
- Collaborate with cross-functional teams including DevOps, data engineers, and PMs
- Follow best practices in model versioning, testing, and deployment
- Document ML workflows and models for reproducibility and compliance
Required Skills & Experience
- 6+ years of experience in software/data engineering, with 3+ years in ML/AI
- Strong Python expertise with libraries like Scikit-learn, Pandas, NumPy, etc.
- Experience with ML frameworks such as TensorFlow or PyTorch
- Experience building AI models for NLP tasks like classification, summarization, or entity extraction
- Familiarity with Azure AI/ML services (Azure ML Studio, Cognitive Services, AKS, Key Vault)
- Experience handling both structured and unstructured datasets
- REST API and Python library development
- Excellent communication and documentation skills
Nice To Have
- Exposure to finance sector datasets or financial document automation
- Experience with Azure OpenAI, Azure Language Studio, or Chatbot frameworks
- Familiarity with statistical programming languages like R or Julia
- Microsoft Data or Azure AI/ML certifications
Benefits And Perks
- Opportunity to work with leading global clients
- Flexible work arrangements with remote options
- Exposure to modern technology stacks and tools
- Supportive and collaborative team environment
- Continuous learning and career development opportunities
Skills: machine learning,natural language processing (nlp),numpy,azure ml,data normalization,azure cognitive services,financial data,azure key vault,azure ml studio,rest apis,unstructured data,api development,openai,data cleansing,rest api,python,scikit-learn,aks,tensorflow,nlp,pandas,data engineering,azure ai,pytorch,statistical programming,text classification