CAD AI Software Engineer - Big Data Pipelines & ML Automation | Python, C#, C++ Expert | Machin

Do you feel like you’re just coding toy problems without making a real impact? Join us for a fulfilling career as a Software Engineer specializing in Big Data Pipelines and ML Automation
, where you’ll tackle concretely defined, real‑world challenges. At Imnoo, you’ll make a significant impact on automating manufacturing processes through robust big data engineering
, scalable data pipelines
, and machine learning integrations
, gaining invaluable experience in Python development
, C# programming
, C++ expertise
, and deep satisfaction along the way!

We’re looking for an experienced Software Engineer – Big Data / Pipelines with an ML Flavour who is passionate about automation
, AI/ML engineering
, and ready to build scalable ETL pipelines
, process massive datasets, and infuse machine learning models into production systems using strong Python coding skills
, C# development
, and C++ performance optimization
.

• A clear path for career growth
  in
  machine learning engineering
  and
  data engineering roles
  .

• The opportunity to solve real and meaningful challenges in
  data-intensive manufacturing automation
  ,
  computer vision
  , and
  AI-driven pipelines
  .

• A dynamic and flexible work environment supporting
  remote software development
  .

• Opportunities for
  professional development
  ,
  certification support
  in AWS, Azure, and
  MLOps
  .

• A platform to share your ideas and opinions, where they are highly valued in our
  startup tech team
  .

• Work on real/hands‑on problems involving
  big data processing and
  automation tools
  for
  industrial AI
  .

• Develop efficient
  data pipelines
  and tools that directly impact the day‑to‑day operations of our manufacturers

• Design and implement advanced
  data extraction
  ,
  feature engineering
  , processing, and
  pipeline orchestration
  solutions for handling CAD, 2D, 3D, and large‑scale batch data (filtered/unfiltered) with a focus on
  ML applications
  like
  deep learning models
  and
  predictive analytics
  .

• Engineer scalable
  big data infrastructure
  ,
  cloud‑native services
  ,
  RESTful APIs
  , automated
  ML model training and deployment
  , and
  CI/CD build tools
  using
  Docker
  and
  Kubernetes
  .

• Own services end‑to‑end, from proof of concept to production‑ready solutions in high‑load environments with
  scalability testing
  and
  performance tuning
  .

• Gain in‑depth knowledge of interconnected
  cloud computing
  ,
  big data ecosystems
  (Hadoop, Spark),
  computer vision pipelines
  , and
  ML frameworks
  across
  Python
  ,C#,C++, and multiple platforms like
  Linux/Unix systems
  .

• Maintain and enhance
  optimization algorithms
  ,
  machine learning services
  , and
  neural network integrations
  within data pipelines.

• Improve 2D/3D/CAD tools and solutions through automated,
  data‑driven workflows
  , including
  geometric modeling
  ,
  simulation tools
  , and
  GPU acceleration
  with CUDA.
  SEO optimization:
  Big Data Engineer
  ,
  Data Pipeline Developer
  ,
  Machine Learning Engineer
  ,
  Python Developer
  ,C# Developer
  ,C++ Software Engineer
  ,
  Cloud Services Engineer
  ,
  AWS Developer
  ,
  Azure Developer
  ,
  Automation Engineer
  ,
  Distributed Systems Developer
  ,
  MLOps Specialist
  ,
  CAD Data Processing
  ,
  3D Geometry Software Engineer
  ,
  ETL Pipeline Developer
  ,
  Industrial Automation Software Engineer
  ,
  IoT Data Engineer
  ,
  High-Performance Computing
  ,
  Data Pipeline Architect
  ,
  Software Engineer for Big Data and ML
  ,
  Cloud‑Native Application Developer
  ,
  Data Processing Optimization
  ,
  Parallel Computing Engineer
  .

(Middlemen such as recruiting agencies are not welcome and will be automatically disqualified)

• Strong software / coding skills in
  Python development
  ,C# .NET programming
  , andC++ expertise
  with a passion for
  machine learning
  ,
  deep learning
  , and
  process automation
  .

• 5+ years of experience in dynamically typed (e.g.,
  Python scripting
  ) and statically typed languages (e.g.,C# backend
  ,C++ systems programming
  ).

• CAD system development/work experience

• Strong problem‑solving skills for building efficient, scalable
  data pipelines
  and
  ML workflows
  under production constraints.

• Foundations or experience in 3D/geometry processing,
  game development engines
  (Unity/Unreal), fluid simulations,
  real‑time rendering
  ,
  CUDA GPU programming
  , or similar technologies to handle complex
  big data analytics
  and
  spatial…