Sr. Computer Vision Engineer
Designs, builds, and deploys end-to-end AI/ML systems working with image, text, audio, and tabular data, integrating models into existing data pipelines alongside cross-functional teams. Core tech: Python, TensorFlow, PyTorch, with a focus on computer vision and NLP.
- Compensation
- Not disclosed
- Location
- Hyderabad, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- Strong experience in statistical analysis, Machine Learning and Deep Learning techniques, particularly in computer vision and NLP
- Proven track record of deploying scalable machine learning models in real-world applications
- Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch
- Familiarity with key deep learning metrics and optimization techniques
- Strong knowledge of version control systems, particularly Git
- Bachelor's or Master's degree in Computer Science, Engineering or a related field
- 4-10 years of relevant experience, including handling very large transactional datasets across different business functions
- Strong problem-solving skills and the ability to translate business requirements into analytical solutions
- Self-starter and self-motivated, with the ability to work independently and with other teams
- Outstanding verbal and written communication skills
- Passion for staying updated with the latest advancements in AI, deep learning, generative AI and related system design areas
- Ability to lead research initiatives to explore new methodologies, tools and technologies
Full description
About the Role
We are looking for a Computer Vision Engineer to design, build and deploy advanced AI/ML solutions using image, text, audio and tabular data. In this role, you will design large-scale AI/ML systems end-to-end in a fast-paced environment and integrate them into existing data pipelines and systems. You will collaborate with cross-functional data and engineering teams to solve complex problem statements and act as a subject matter expert on data science topics. The ideal candidate brings strong expertise in Machine Learning, Deep Learning, computer vision and Natural Language Processing (NLP), along with a proven track record of deploying scalable models in real-world applications.
Key Responsibilities
- Design, develop and implement advanced algorithms using image, text, audio and tabular data.
- Design large-scale AI/ML systems end-to-end in a fast-paced environment.
- Integrate AI/ML systems into existing data pipelines and systems.
- Apply extensive knowledge of key metrics and terminology used in statistical analysis and machine learning.
- Collaborate with cross-functional data and engineering teams to develop solutions to complex problem statements.
- Act as a subject matter expert on data science topics, providing guidance and support to internal teams.
- Identify areas of improvement in existing solutions.
Key Skills
- Strong experience in statistical analysis, Machine Learning and Deep Learning techniques, particularly in computer vision and Natural Language Processing (NLP).
- Proven track record of deploying scalable machine learning models in real-world applications.
- Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch.
- Familiarity with key deep learning metrics and optimization techniques.
- Strong knowledge of version control systems, particularly Git.
- Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.
- 4–10 years of relevant experience, including handling very large transactional datasets across different business functions.
- Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
- Self-starter and self-motivated, with the ability to work independently and with other teams.
- Outstanding verbal and written communication skills.
- Passion for staying updated with the latest advancements in AI, deep learning, generative AI and related system design areas.