Senior Machine Learning Engineer

3 weeks ago

Bengaluru, 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 open-source programming.

- Performing exploratory data analysis, preprocessing, cleansing, and validating the integrity of data.

- Developing machine learning and deep learning models and fine-tuning them to meet business expectations.

- Integrating and deploying ML models into production-level code.

- Collaborating with cross-functional 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 real-world 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.

- In-depth 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 problem-solving skills and the ability to thrive in a fast-paced, 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 top-tier conferences or journals related to machine learning, computer vision, or NLP.

CERTIFICATIONS REQUIRED (IF ANY) : Any domain, technology certification is an added advantage

(ref:hirist.tech)

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