Require an AI Specialist in Ahmedabad at TestHiring
, gujarat, India -
Full Time


Start Date

Immediate

Expiry Date

28 Aug, 26

Salary

0.0

Posted On

30 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Artificial Intelligence, Machine Learning, Python, TensorFlow, PyTorch, Scikit-learn, Computer Vision, Natural Language Processing, Recommendation Systems, Data Preprocessing, Feature Engineering, Model Evaluation, Cloud Platforms, Docker, Kubernetes, Ethical AI

Industry

IT Services and IT Consulting

Description
Design, develop, and deploy AI and machine learning models to support product recommendation engines, skin analysis tools, and personalized beauty solutions. Analyze large-scale consumer behavior and product usage data to derive actionable insights that inform product development and marketing strategies. Collaborate with R&D and formulation teams to integrate AI-driven predictive analytics for ingredient performance and product efficacy testing. Implement computer vision systems for skin type classification, product compatibility analysis, and virtual try-on features in digital platforms. Optimize AI workflows for real-time processing in mobile and web applications, ensuring high accuracy and low latency. Maintain and scale AI infrastructure using cloud-based platforms (e.g., AWS, Azure) with a focus on security, compliance, and performance. Stay abreast of emerging AI trends, tools, and ethical considerations in the beauty tech space to ensure innovation with responsibility. Document AI models, processes, and results for internal knowledge sharing and regulatory compliance. Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 2–5 years of hands-on experience in AI/ML development, preferably in consumer goods, beauty tech, or e-commerce. Proficiency in Python, TensorFlow, PyTorch, and scikit-learn for model development and deployment. Experience with computer vision, natural language processing (NLP), and recommendation systems. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Knowledge of ethical AI principles and data privacy regulations (e.g., GDPR, CCPA). Excellent problem-solving skills, attention to detail, and ability to communicate complex technical concepts to non-technical stakeholders. Proven track record of delivering AI solutions that drive measurable business impact.
Responsibilities
The AI Specialist will design, develop, and deploy AI and machine learning models for various beauty tech applications. They will analyze consumer behavior data and collaborate with teams to integrate AI-driven analytics into product development.
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