1. Conduct in-depth research and experimentation in machine learning, deep learning, computer vision, and NLP to develop novel models or improve existing solutions
2. Collaborate with cross-functional teams to transform technical findings into well-structured technical documents, white papers, research articles, and blog posts.
3. Translate complex ML concepts into accessible written content for academic, business, or public audiences while ensuring grammatical accuracy and technical correctness.
4. Stay updated with the latest research trends, publications, and tools in AI and ML, and incorporate relevant advancements into ongoing projects and documentation.
5. Design and implement machine learning pipelines using Python and relevant libraries, ensuring scalability, efficiency, and performance across various applications
Skill(s) required
Computer VisionCritical thinkingDeep LearningEnglish Proficiency (Written)Machine LearningMathematicsNatural Language Processing (NLP)PythonResearch and AnalyticsTechnical Writing
1. Educational background in computer science, data science, artificial intelligence, or a closely related field such as mathematics or statistics.
2. Proven experience with academic or industry research, including published papers, technical blogs, or open-source contributions.
3. Strong foundation in mathematical concepts such as linear algebra, probability, optimization, and statistical modeling relevant to ML and deep learning.
Salary
Duration: 3 months
Salary during probation: ₹10,000 - 15,000 /month (only for freshers)
After probation:
Annual CTC: ₹ 2,00,000 - 2,40,000 /year
Number of openings
2
About Anubrain Technology Private Limited
Anubrain Technology Private Limited turns AI and machine learning dreams into reality with solutions that aid at every stage of AI and machine learning development. Anubrain assists customers in achieving transformational transformations through intelligent decisions, increased efficiency, and productivity. Anubrain provides end-to-end solutions in different business domains like medical, pharmaceutical, finance, education, security, services, etc.
