Computer Vision Engineer

Arrise Solutions (India) Pvt. Ltd.; Hyderabad; Presencial; INR 1.100.000 - 1.900.000; Jornada completa

Descripción de la vacante

Arrise Solutions (India) Pvt. Ltd. is seeking a Computer Vision Engineer to design, build and deploy advanced AI/ML solutions across image, text, audio and tabular data.

You will work on end-to-end AI/ML systems in a fast-paced environment and integrate them into existing data pipelines. The ideal candidate has strong expertise in ML, Deep Learning, computer vision and NLP, with a proven track record of deploying scalable models in real-world applications and collaborating with cross-functional

Formación

• Bachelor’s or Master’s degree in Computer Science, Engineering or related field.
• Experience with building and deploying ML/DL models.
• Strong understanding of CV and NLP fundamentals.
• Experience deploying ML models in production environments.

Responsabilidades

• Design, develop and deploy AI/ML algorithms using image, text, audio and tabular data.
• Build end-to-end AI/ML systems and integrate them into data pipelines.
• Collaborate with cross-functional data and engineering teams.
• Act as a subject matter expert on data science topics and guide internal teams.
• Identify areas of improvement in existing AI/ML solutions.

Conocimientos

Statistical analysis

Machine Learning

Deep Learning

Computer Vision

Natural Language Processing

Python

TensorFlow

PyTorch

Educación

Bachelor’s or Master’s degree in CS/Engineering or related field

Herramientas

Git

Descripción del empleo

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.
• Ability to lead research initiatives to explore new methodologies, tools and technologies.