AI ML Engineer - EHRJ1005

About Company

ELDAAS Technologies offers cutting edge services to the global electronics players with innovative product design and engineering services. We are specialist in Defence and Aerospace along with consumer product design. Recently we partnered with one of the global leader in AIOT chip sets, and working towards AI products in multiple segments.

We are specialised in Embedded/FPGA hardware and software design, RF Design, Semiconductor design and Cloud computing. Our expertise includes from concept study to commercialization.

Job Description

No of Positions: 2
Functional Area: R&D – Services
Location: Bangalore, India / Raleigh, USA
Schedule: Full-time
Hire Type: Experienced

  • BE/BTech in computer science or related technical field or equivalent practical experience (ME/MTech or PhD preferable).
  • Proven experience in python for scientific/statistical use (3+ years).
  • Familiar with modern software engineering practices such as continuous integration, source code management etc.
  • Able to take initiative, doesn’t require constant supervision, very organized and methodological in his/her approach.
  • Proven experience in successfully leading ML-based projects with small (2-3 people) teams.
  • Working knowledge of Python and familiar with the scientific python ecosystem (Pandas, Jupyter notebooks, Scikit Learn) and writing fault-tolerant code.
  • Plenty of expertise in image processing, OpenCV, SciPy and NumPy or NLP is a plus.
  • Experience with Nvidia DeepStream
  • Proven experience in using modern deep learning frameworks like TensorFlow/Pytorch/TensorRT and knowledge of Kera
  • Modern technologies usage such as Docker, Google Cloud Platform and Kubernetes and GIT
  • Familiarity with JavaScript
  • Experience with Nvidia DeepStream
  • Knowledge of NLP and NLU (NLTK, Spacy, Flair, etc.)
  • Good understanding of optimising data processing pipelines
  • Command over geometry, statistics and designing complex algorithms
  • Analyze current products in development, including performance, diagnosis and troubleshooting

The candidates should like writing smart algorithms and dealing with complex problems that require a mix of AI/ML, big data, computer vision, NLP, and interested a dash of probability and statistics to solve.

  • Work on the ML side of product portfolio, in collaboration with project and product managers: automate and optimize data pipelines, improve models used in production to be more accurate or more efficient, etc.
  • Use and develop machine learning and deep learning algorithms to solve applied problems in Computer Vision discipline.
  • Design and implement Data/Model systems to make the model training and inferencing, pipelines efficient.

For more information contact:

ELDAAS Technologies is committed to equal opportunity for all candidates. Therefore, we ask that you please omit any information from your CV/resume which would identify your race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, age, record of offences, marital status, family status or disability.