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Data Scientist - Machine Learning & AI

Dlytica Nepal

Kathmandu ( Hybrid) Full Time Posted 1 month, 2 weeks ago 18 views

Not Disclosed

IT & Technology

Job Description

Dlytica Nepal is seeking a talented Data Scientist to join its expanding Data Science & AI team. In this position, you will be responsible for creating advanced data-driven solutions, machine learning models, and cutting-edge AI applications for international enterprise clients. The ideal candidate possesses deep expertise in Python, SQL, machine learning algorithms, MLOps, and modern AI frameworks, paired with excellent communication skills for direct client engagement.

Key Responsibilities:

  • Design, build, and operationalize feature engineering, training, and serving pipelines for ML and Generative AI projects, utilizing MLflow for experiment tracking and model registry.
  • Support the delivery of Generative AI and agentic workflows on Databricks, including data preparation for RAG architectures, vector search integration, and tools like Databricks Genie Spaces.
  • Transform preliminary notebook concepts into fully functional, production-ready AI solutions on the Databricks platform.
  • Develop reusable Databricks accelerators and templates for frequent AI/ML workloads (such as forecasting, personalization, and RAG systems) to streamline deployment times for clients.
  • Fine-tune and optimize Databricks clusters, jobs, and automated workflows to ensure maximum cost-efficiency, speed, and production reliability.
  • Engage directly with client technical teams and stakeholders to collect requirements, solve technical challenges, and deliver complete documentation and operational runbooks.

Requirements

  • 3+ years of professional experience as a Machine Learning Engineer or in a similar role, featuring significant hands-on work on the Databricks platform.
  • Strong programming skills in Python and PySpark, with proven ability to build production-grade Spark applications.
  • Hands-on experience deploying Generative AI and agentic systems in production, including RAG architectures, LLM frameworks (LangChain, LangGraph), and AgentOps tools.
  • Extensive experience with core data science and machine learning libraries such as pandas, scikit-learn, and PyTorch.
  • Proven background building or maintaining large-scale consumer or enterprise ML implementations (e.g., personalization, recommendation engines, ranking, or forecasting).
  • Proficiency with MLflow or comparable tools for model management, experiment tracking, and serving.
  • Solid SQL expertise and working experience with major cloud platforms (AWS, Azure, or GCP, with Azure Databricks preferred).
  • Excellent communication capabilities for direct collaboration with cross-functional teams and external stakeholders.
  • Preferred: Databricks certifications, experience with Delta Lake/lakehouse architectures, Unity Catalog, A/B testing, or prior consulting experience in AI delivery.

Required Skills

Python, Sql, Databricks, Generative Ai, Mlflow, Natural Language Processing (Nlp), Machine Learning, Pytorch / Tensorflow, Large Language Models (Llms), Retrieval-Augmented Generation (Rag), Mlops

Job Overview
Date Posted:
September 17, 2026
Application Deadline:
September 23, 2026 (Expired)
Experience Level:
Mid Level (3-5 years)
Education:
any
Vacancies:
5 position(s)
Job Category:
IT & Technology
Contact Information
Website:
Visit Website
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