Senior Machine Learning Engineer
1 month ago
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
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