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We are hiring exceptional talent across data science, artificial intelligence, machine learning, data engineering and software engineer to solve high-impact real-world challenges.

Senior Data Scientist

Senior Data Scientist working on advanced analytics and predictive models

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Lead end-to-end machine learning & predictive modeling projects from ideation to production
  • Develop state-of-the-art models (time-series forecasting, causal inference, recommendation, NLP, anomaly detection)
  • Design & implement large-scale data pipelines (ETL/ELT, feature stores, data quality & lineage)
  • Build advanced analytics platforms & dashboards (Power BI, Looker, Plotly, Streamlit, Superset)
  • Establish MLOps best practices: automated training, versioning, monitoring, drift detection, A/B testing
  • Partner with product & engineering teams to define success metrics and drive measurable business impact
  • Mentor junior data scientists and lead knowledge-sharing initiatives
Requirements
  • 6–10+ years of industry experience in data science / machine learning
  • Expert Python ecosystem (Pandas, NumPy, Polars, Scikit-learn, XGBoost, LightGBM, CatBoost, Optuna)
  • Strong deep learning experience (PyTorch 2.x / TensorFlow 2.x, Transformers, diffusion models)
  • Production ML deployment (Docker, Kubernetes, FastAPI, MLflow, Kubeflow, KServe)
  • Advanced SQL + big data experience (Spark, Dask, Snowflake, BigQuery, Databricks)
  • Cloud ML platforms (Azure ML, Vertex AI, SageMaker, GCP AI Infrastructure)
  • Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics or related field (strongly preferred)
  • Kaggle Grandmaster / top-tier publications / open-source contributions highly valued
  • Excellent communication & storytelling — ability to influence decisions with data

Senior AI Engineer

Senior AI Engineer building and deploying production-grade AI systems

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Architect & build scalable production AI systems (predictive modeling, NLP, computer vision, generative AI)
  • Develop high-performance inference services & APIs (FastAPI, Flask, gRPC, Triton, KServe)
  • Implement full MLOps lifecycle: training orchestration, model registry, monitoring, A/B testing, drift detection
  • Optimize models for latency, cost, memory (quantization, pruning, ONNX, TensorRT, DeepSpeed)
  • Integrate AI into customer-facing products and internal platforms
  • Lead technical design reviews and mentor engineers on AI best practices
  • Evaluate latest AI research papers & prototypes for business value
Requirements
  • 6–10+ years building & deploying production AI/ML systems
  • Expert Python + deep learning (PyTorch 2.x / TensorFlow 2.x, Hugging Face Transformers)
  • Advanced model serving & inference optimization (FastAPI, Triton, BentoML, vLLM)
  • Strong MLOps experience (Docker, Kubernetes, MLflow, Kubeflow, Airflow, Prometheus/Grafana)
  • Large-scale training experience (distributed training, DeepSpeed, FSDP, H100/A100 GPUs)
  • Cloud ML platforms (Azure ML, Vertex AI, SageMaker, GCP AI Infrastructure)
  • Bachelor’s / Master’s / PhD in Computer Science, AI/ML or related field
  • Strong system design, performance tuning & production debugging skills
  • Open-source contributions, Kaggle rankings or publications highly valued

Machine Learning Engineer

Machine Learning Engineer deploying models at scale"

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Build & deploy production machine learning pipelines from training to inference
  • Implement scalable feature stores, model serving layers and real-time/batch prediction systems
  • Design & maintain MLOps infrastructure (experiment tracking, model registry, monitoring)
  • Optimize model performance (latency, throughput, cost) using quantization, distillation, pruning
  • Integrate ML models into web, mobile and backend applications
  • Collaborate with data scientists to productionize research models
  • Ensure reliability, reproducibility & observability of ML systems
Requirements
  • 5–9+ years building production ML systems
  • Expert Python + ML frameworks (Scikit-learn, XGBoost, TensorFlow Serving, TorchServe)
  • Strong MLOps & DevOps experience (Docker, Kubernetes, CI/CD, Airflow, MLflow)
  • Model serving expertise (FastAPI, Flask, BentoML, KServe, Seldon Core)
  • Cloud infrastructure knowledge (Azure ML, SageMaker, Vertex AI)
  • Experience with monitoring tools (Prometheus, Grafana, Evidently AI)
  • Bachelor’s / Master’s in Computer Science or related field
  • Strong software engineering practices (clean code, testing, documentation)

Senior Data Engineer

Senior Data Engineer building scalable data pipelines"

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Design & build large-scale, reliable data pipelines (batch & streaming)
  • Develop data ingestion, transformation & orchestration systems (Airflow, dbt, Prefect)
  • Implement data quality, lineage, observability & governance frameworks
  • Build & maintain data lakehouse / warehouse solutions (Snowflake, BigQuery, Delta Lake)
  • Optimize data processing for performance & cost (Spark, Dask, Trino)
  • Enable self-service analytics for data scientists & business users
  • Collaborate with ML engineers to prepare training & inference datasets
Requirements
  • 6–10+ years of data engineering experience at scale
  • Expert SQL + Python (Pandas, Polars, PySpark)
  • Strong experience with orchestration (Airflow, Prefect, Dagster)
  • Cloud data platforms (Snowflake, BigQuery, Databricks, Redshift)
  • Streaming data experience (Kafka, Flink, Spark Streaming)
  • CI/CD for data pipelines (GitHub Actions, Azure DevOps)
  • Experience with data governance & catalog tools (Atlan, Collibra, DataHub)
  • Bachelor’s / Master’s in Computer Science or related field

Senior Python Developer

Senior Python Developer building scalable backend systems and APIs

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Design, develop and maintain high-performance Python-based applications and services
  • Build scalable RESTful APIs, microservices and backend logic (FastAPI, Flask, Django)
  • Write clean, efficient, well-tested and maintainable code following best practices
  • Integrate systems with databases (SQL/NoSQL), message queues and external APIs
  • Implement CI/CD pipelines, containerization (Docker) and orchestration (Kubernetes)
  • Optimize application performance, scalability and security
  • Mentor junior developers, conduct code reviews and contribute to architectural decisions
  • Collaborate with frontend, DevOps and product teams to deliver end-to-end features
Requirements
  • 6–10+ years of professional experience as a Python developer
  • Expert proficiency in Python 3.x and modern frameworks (FastAPI, Flask, Django)
  • Strong experience with relational (PostgreSQL, MySQL) and NoSQL databases
  • Deep knowledge of async programming, concurrency and performance optimization
  • Experience with cloud platforms (AWS, Azure or GCP), Docker & Kubernetes
  • Solid understanding of Git, CI/CD, testing (pytest, unittest) and logging/monitoring
  • Bachelor’s or Master’s in Computer Science, Engineering or related field
  • Excellent problem-solving, communication and teamwork skills
  • Experience with microservices architecture and API design is a strong plus

Senior .NET Developer

Senior .NET Developer architecting enterprise-grade applications and APIs

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Design, develop and maintain robust .NET applications (Web APIs, microservices, desktop/web)
  • Write clean, testable, high-quality code using C# and modern .NET (6/7/8)
  • Build and optimize RESTful APIs, authentication & authorization systems
  • Work with relational databases (SQL Server, PostgreSQL) and ORMs (Entity Framework)
  • Implement CI/CD pipelines, containerization (Docker) and cloud deployments
  • Perform code reviews, mentor junior developers and contribute to technical decisions
  • Troubleshoot, debug and resolve complex production issues
  • Collaborate with frontend, QA, DevOps and product teams on feature delivery
Requirements
  • 6–10+ years of professional experience with .NET / C# development
  • Strong expertise in .NET 6/7/8, ASP.NET Core, Entity Framework Core
  • Experience building scalable REST APIs, microservices and cloud-native applications
  • Proficiency with SQL Server or other RDBMS and ORM patterns
  • Knowledge of cloud platforms (Azure preferred, AWS/GCP acceptable), Docker & CI/CD
  • Solid understanding of design patterns, SOLID principles, unit testing (xUnit/NUnit)
  • Bachelor’s or Master’s in Computer Science, Engineering or related field
  • Strong problem-solving, communication and code quality focus
  • Experience with Blazor, MAUI, Angular/React integration is a plus

Microsoft Power Platform Developer

Power Platform Developer building low-code business solutions with Power Apps, Automate & BI

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Design, develop and deploy custom low-code/no-code solutions using Power Apps (Canvas & Model-Driven), Power Automate and Power BI
  • Build automated workflows, business process automations and integrations with Microsoft 365, Dynamics 365, SharePoint and Dataverse
  • Create interactive dashboards, reports and data visualizations using Power BI (DAX, Power Query)
  • Integrate with external APIs, connectors and custom code (JavaScript, HTML/CSS when needed)
  • Collaborate with business stakeholders to gather requirements and translate into scalable solutions
  • Implement security, governance and best practices for Power Platform environments
  • Support migration of legacy processes to modern Power Platform solutions
  • Stay updated with new Power Platform features and AI Builder capabilities
Requirements
  • 4–8+ years of experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI)
  • Strong expertise in Dataverse, connectors, custom APIs and integration patterns
  • Proficiency in DAX, Power Query, JavaScript, HTML/CSS for advanced customizations
  • Experience with Microsoft 365 ecosystem (SharePoint, Teams, Dynamics 365)
  • Knowledge of low-code best practices, ALM, environments and governance
  • Familiarity with Azure services and cloud integrations is a plus
  • Bachelor’s in Computer Science, IT or related field
  • Microsoft Power Platform certifications (PL-100, PL-200, PL-400 etc.) highly valued
  • Excellent problem-solving, communication and stakeholder collaboration skills

UI/UX Developer

UI/UX Developer crafting intuitive, responsive interfaces and user experiences

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Lead end-to-end UI/UX design for web and mobile applications, from research to high-fidelity prototypes
  • Conduct user research, usability testing, create wireframes, user flows and interactive prototypes
  • Design pixel-perfect, responsive interfaces with focus on accessibility and brand consistency
  • Build and maintain design systems, component libraries and style guides
  • Collaborate closely with developers, product managers and stakeholders to implement designs
  • Iterate designs based on user feedback, analytics and A/B testing results
  • Translate complex requirements into intuitive, user-centered experiences
  • Mentor junior designers and ensure high design quality across projects
Requirements
  • 5–9+ years of professional experience in UI/UX design and development
  • Expertise in design tools (Figma, Adobe XD, Sketch) and prototyping
  • Strong front-end skills: HTML5, CSS3, JavaScript (React/Vue/Angular a plus)
  • Deep understanding of user-centered design principles, accessibility (WCAG) and responsive design
  • Experience conducting user research, usability testing and creating design systems
  • Portfolio demonstrating end-to-end UI/UX projects (web/mobile)
  • Bachelor’s in Design, HCI, Computer Science or related field
  • Excellent visual design sense, communication and collaboration skills

DevOps Engineer

DevOps Engineer automating infrastructure, CI/CD and reliable deployments

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Design, implement and maintain scalable CI/CD pipelines for automated builds, tests and deployments
  • Manage cloud infrastructure (AWS, Azure, GCP) using IaC (Terraform, ARM, CloudFormation)
  • Automate provisioning, configuration management and orchestration (Ansible, Chef, Puppet)
  • Implement monitoring, logging, alerting and observability (Prometheus, Grafana, ELK, Azure Monitor)
  • Ensure security, compliance and high availability in production environments
  • Support containerization and orchestration (Docker, Kubernetes, ECS/EKS/AKS)
  • Troubleshoot production issues, perform root cause analysis and improve system reliability
  • Collaborate with development and QA teams to optimize delivery processes
Requirements
  • 5–10+ years of experience in DevOps, SRE or infrastructure engineering
  • Strong expertise in cloud platforms (Azure preferred, AWS/GCP acceptable) and IaC tools
  • Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
  • Experience with containers (Docker) and orchestration (Kubernetes)
  • Scripting/automation skills (Python, Bash, PowerShell)
  • Knowledge of monitoring, logging and security best practices
  • Bachelor’s in Computer Science, Engineering or related field
  • Strong problem-solving, on-call experience and collaboration skills
  • Certifications (Azure DevOps, AWS DevOps, CKAD, Terraform Associate) highly valued

Data Analyst (Mid-Level)

Data Analyst creating business insights and dashboards"

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Analyze complex datasets to generate actionable business insights and recommendations
  • Build and maintain interactive dashboards & reports (Power BI, Looker, Tableau, Google Data Studio)
  • Perform data cleaning, transformation, exploratory analysis and visualization
  • Support data scientists & AI engineers with data preparation and validation
  • Create automated KPI reports, trend analysis and executive summaries
  • Identify data quality issues and collaborate on improvements
  • Present findings to stakeholders and support data-driven decision making
Requirements
  • 2–6 years of experience as Data Analyst / Business Intelligence Analyst
  • Advanced Excel + strong SQL (PostgreSQL, MySQL, BigQuery preferred)
  • Expertise in BI tools (Power BI, Tableau, Looker, Google Data Studio)
  • Good Python (Pandas, Matplotlib/Seaborn) or R knowledge is a strong plus
  • Experience working with large datasets and cloud data warehouses
  • Bachelor’s degree in Statistics, Computer Science, Business Analytics, Economics or related field
  • Strong storytelling & presentation skills — turn data into clear business narratives

Senior Flutter Developer

Senior Flutter Developer building high-performance cross-platform mobile apps for iOS & Android

Full-time · Kathmandu / Hybrid
Key Responsibilities
  • Lead design, development, and maintenance of complex cross-platform mobile applications using Flutter and Dart
  • Build responsive, pixel-perfect UIs with smooth animations and native performance on iOS and Android
  • Implement state management (Provider, Riverpod, Bloc, etc.), clean architecture, and modular code structure
  • Integrate REST/GraphQL APIs, Firebase, local storage (Hive, SQLite), push notifications, and offline capabilities
  • Optimize app performance, battery usage, bundle size, and ensure compatibility across devices and OS versions
  • Write unit, widget, and integration tests; ensure high code coverage and CI/CD readiness
  • Collaborate with UI/UX designers, backend teams, and product owners to deliver end-to-end features
  • Mentor junior developers, conduct code reviews, and drive best practices in Flutter development
Requirements
  • 5–10+ years of mobile app development experience, with 3–6+ years focused on Flutter/Dart
  • Expert proficiency in Flutter SDK, Dart, state management (Bloc/Riverpod/Provider), and widget ecosystem
  • Strong understanding of mobile design patterns, clean architecture, and SOLID principles
  • Experience with REST/GraphQL APIs, Firebase (Auth, Firestore, Cloud Functions), and third-party integrations
  • Knowledge of performance profiling, debugging tools (DevTools), and app deployment to App Store & Play Store
  • Familiarity with Git, CI/CD (Codemagic, GitHub Actions, Fastlane), and testing frameworks (flutter_test, mockito)
  • Bachelor’s or Master’s in Computer Science, Engineering or related field
  • Published Flutter apps in production (portfolio or Play Store/App Store links highly valued)
  • Excellent problem-solving, communication, and ability to work in cross-functional teams

AI / Data Science Intern

AI / Data Science Intern working on real machine learning projects"

Internship · 6–12 months · Kathmandu / Hybrid
Key Responsibilities
  • Assist senior team members in data cleaning, exploration and feature engineering
  • Build and experiment with machine learning models under guidance
  • Support development of dashboards and visualizations (Power BI, Plotly, Matplotlib)
  • Work on real-world datasets and contribute to production pipelines
  • Participate in code reviews, technical discussions and team knowledge sharing
  • Conduct research on new algorithms / techniques relevant to ongoing projects
Requirements
  • Currently pursuing or recently completed Bachelor’s / Master’s in CS, AI/ML, Data Science, Statistics or related field
  • Strong Python fundamentals (Pandas, NumPy, Matplotlib/Seaborn)
  • Basic understanding of machine learning algorithms & deep learning concepts
  • Familiarity with SQL and data visualization tools
  • Good problem-solving skills and eagerness to learn
  • Previous project work, internships, Kaggle notebooks or GitHub contributions are a big plus
  • Minimum 6-month commitment (full-time or part-time possible)
Send CV to info@datacraft.com.np

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