Dlytica Nepal

Software Companies

Data Scientist

Views: 2875|Published on: Sep 16, 2026|

IT & Telecommunication

Senior Level

Full Time

Vacancy: 5

Kathmandu ( Hybrid)|

Experience: More than 3 years|

Not Disclosed

Job Summary

Dlytica Nepal seeks a Senior Data Scientist with over 3 years of experience in machine learning and AI technologies, particularly on the Databricks platform
Responsibilities include developing data-driven solutions, building ML pipelines, and collaborating with clients to deliver AI applications
The position offers a negotiable salary and the opportunity to work on innovative projects for international clients

Job Description

Roles and responsibilities of this job

Dlytica Nepal is looking for talented Data Scientists to join its Data Science & AI team. The role involves developing data-driven solutions, machine learning models, and AI applications for enterprise projects and international clients.

The ideal candidate will have strong expertise in Python, SQL, machine learning, modern AI technologies, and MLOps, along with the ability to communicate effectively with international clients and stakeholders.

What you'll do

Build and productionise feature pipelines and training/serving pipelines for ML and GenAI use cases, working with MLflow for experiment tracking and model management.
Support the delivery of Generative AI and agentic systems on Databricks, including data preparation for RAG pipelines, vector search integration, and AI/BI tooling such as Databricks Genie Spaces.
Help stand up new AI use cases end to end on Databricks, from data preparation through to a working prototype, working alongside data scientists to move ideas from notebook to production.
Build reusable Databricks templates and accelerators for common AI/ML use cases (RAG, agentic assistants, forecasting, personalisation), reducing time-to-development for new client engagements.
Optimise Databricks jobs, clusters, and workflows for cost, performance, and reliability at production scale.
Work directly with client engineering teams and stakeholders to gather requirements, troubleshoot issues, and hand over documentation and runbooks.

Job Specification

Required qualifications for this job

Required Education Level:Under Graduate (Bachelor)

Required Experience:More than 3 years

Other Specification

3+ years of experience as an ML engineer, or similar, with meaningful hands-on time on the Databricks platform.
Strong Python and PySpark skills; comfortable writing production-quality Spark jobs, not just notebooks.
Practical experience in production Generative AI or agentic system delivery: RAG architectures, LLM orchestration frameworks (e.g. LangChain, LangGraph), AgentOps tooling (evaluation, monitoring, governance).
Extensive hands-on industry data science and ML experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
Background supporting large-scale consumer or enterprise ML systems (recommenders, ranking, forecasting, personalisation).
Experience with MLflow or a comparable tool for experiment tracking, model registry, and model serving.
Solid SQL skills and experience with cloud data platforms (Azure, AWS, or GCP — Azure Databricks experience is a plus).
Comfortable working directly with clients or cross-functional stakeholders to scope and deliver technical work.

Nice to have

Databricks certifications (Machine Learning Associate/Professional, or Generative AI Engineer Associate).
Practical experience with Delta Lake and lakehouse/medallion architecture patterns
Working knowledge of Unity Catalog or equivalent data governance and access-control tooling
Prior consulting or professional-services experience in AI/ML delivery.
Familiarity with experimentation and A/B testing pipelines built on Databricks.
Exposure to causal inference or applied statistics (e.g. uplift modelling, Double ML) used to support AI use case development

Skills Required

Required skills for this job

Python

Sql

Databricks

Generative Ai

Mlflow

Natural Language Processing (Nlp)

Machine Learning

Pytorch / Tensorflow

Large Language Models (Llms)

Retrieval-Augmented Generation (Rag)

Mlops

Salary

Offered financial and non-financial compensation for this job

Offered Salary:Not Disclosed

Applying Procedure

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Apply Before: Sep 23, 2026

About the organization

Dlytica Nepal

Software Companies

Balkumari

Dlytica Nepal is a technology and consulting company specializing in Data, AI, Analytics, Cloud, and automation solutions. As an ISO-certified organization, Dlytica specializes in delivering Data Strategy, Architecture, and comprehensive solutions for AI and Analytics, helping organizations transform complex data into actionable business insights.

Its services include Big Data Analytics, Business Intelligence, Data Architecture, Data Warehousing, Artificial Intelligence, Generative AI, IoT, RPA, Cloud solutions, and data/AI consulting and training. Dlytica serves industries including banking, telecommunications, insurance, healthcare, retail, and manufacturing, with operations across North America and Nepal.