Junior Data Scientist

Zaintech
Kochi
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","Customer-centricity"]

Develop and evaluate machine learning models for classification, regression, forecasting, and NLP, including building reproducible data and training pipelines. Contribute to Generative AI solutions using LLMs and foundation models (with Azure OpenAI and open-source options), including prompt engineering, embeddings, vector databases, and RAG. Support the end-to-end model lifecycle with ModelOps/MLOps practices and help deliver customer workshops, demos, and proof-of-concepts for enterprise AI solutions.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Zaintech
Zaintech
23 hours ago

Junior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Develop and evaluate machine learning models for classification, regression, forecasting, and NLP, including building reproducible data and training pipelines. Contribute to Generative AI solutions using LLMs and foundation models (with Azure OpenAI and open-source options), including prompt engineering, embeddings, vector databases, and RAG. Support the end-to-end model lifecycle with ModelOps/MLOps practices and help deliver customer workshops, demos, and proof-of-concepts for enterprise AI solutions.
Location: Kochi
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Develop, train, test, and evaluate machine learning models for classification, regression, forecasting, and NLP use cases.
  • •Perform data preparation, exploratory data analysis, feature engineering, and model evaluation to support data science solution development.
  • •Contribute to Generative AI solutions using LLMs and foundation models, including prompt engineering, embeddings/vector databases, and RAG pipelines.
  • •Support the ML lifecycle with ModelOps/MLOps activities such as experiment tracking, model versioning, packaging, deployment, monitoring, and retraining.
  • •Participate in customer workshops, demonstrations, and proof-of-concept engagements, and document solutions, experiments, and operational runbooks.

Key Requirements

  • •Up to 3 years of hands-on experience in data science, machine learning, or a related field (internships and significant projects considered).
  • •Strong Python skills and familiarity with pandas and scikit-learn, plus PyTorch and/or TensorFlow.
  • •Working knowledge of ModelOps/MLOps concepts and tools (experiment tracking, model registries, CI/CD, containerized model serving, monitoring).
  • •Practical exposure to Generative AI concepts (LLM APIs, prompt engineering, embeddings/vector databases, RAG) and frameworks like LangChain or LangGraph.
  • •Proficiency in SQL and strong written/verbal communication skills in English.
Education:Bachelor's
Skills:CommunicationCollaborationCustomer-centricity
Languages:English
Tech Stack:PythonPandasScikit-learnPyTorchTensorFlowSQLMLflowCI/CDContainersAzure OpenAILLMsPrompt engineeringEmbeddingsVector databasesRAGLangChainLangGraphModel monitoringModel versioningExperiment tracking

Company Brief

Zaintech
Zaintech is the digital services and technology arm of Zain Group, delivering cloud, managed services, cybersecurity, contact center, and digital transformation solutions to enterprises and carriers across the Middle East and Africa.
Industry: Consulting
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Kuwait City, Kuwait
WebsiteLinkedIn