Senior Machine Learning Engineer

1 week ago

Bengaluru, Karnataka, India Notus Full time

EXPERIENCE :
4+ years


We are seeking a talented and experienced Senior Machine Learning Engineer with a robust background in Computer Vision, Optical Character Recognition (OCR), and Legal Language Modeling (LLM).

The ideal candidate will be responsible for developing cutting-edge solutions that leverage machine learning techniques to address complex challenges in the legal domain.


RESPONSIBILITIES :

  • Lead a team of junior machine learning engineers specializing in OCR and NLP, providing guidance, support, and mentorship.
  • Gathering information from various data sources, preprocessing, and deriving insights from data using opensource programming.
  • Performing exploratory data analysis, preprocessing, cleansing, and validating the integrity of data.
  • Developing machine learning and deep learning models and finetuning them to meet business expectations.
  • Integrating and deploying ML models into productionlevel code.
  • Collaborating with crossfunctional teams to integrate machine learning components into our products and services.
  • Staying updated on the latest advancements in machine learning, computer vision, OCR, and NLP, and applying them to solve realworld problems in the legal domain.
  • Mentoring junior team members and providing technical guidance and support as needed.

PRIMARY SKILLS :

  • Proven track record of 4+ years of experience in machine learning, focusing on computer vision, OCR, and NLP.
  • Strong proficiency in programming languages such as Python, along with experience using machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • Indepth understanding of deep learning architectures and techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing frameworks.
  • Excellent problemsolving skills and the ability to thrive in a fastpaced, collaborative environment.
  • Strong communication skills and the ability to effectively convey complex technical
concepts to both technical and non-technical stakeholders.

SECONDARY SKILLS :

  • Familiarity with OCR libraries and tools such as Tesseract, OpenCV, or similar.
  • Knowledge of natural language processing techniques and libraries (e.g., NLTK, spaCy, Transformers).
  • Publications in toptier conferences or journals related to machine learning, computer vision, or NLP.
CERTIFICATIONS REQUIRED (IF ANY) : Any domain, technology certification is an added advantage
)

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