Data Analysis Specialist and AI Implementation

2 days ago


delhi, India RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) Full time
We have opening for position Data Analysis Specialist and AI Implementation ( Master’s or Ph.D. in Data Science, Artificial Intelligence, Machine Learning ) for our client .
Total years of experience : 4+years
Location: Bhubaneswar
Job Description:
Roles and Responsibilities:
1. Core AI & Machine Learning Development : o Design, develop, and deploy AI models and machine learning algorithms tailored to the product’s needs.
2. Advanced Data Analysis : Conduct in-depth data analysis to extract actionable insights that drive product innovation and improvements. o Develop predictive models and perform data mining to support decision making processes. o Work with large datasets, ensuring data integrity and optimizing the data pipeline for AI model training.
3. AI Integration & Deployment: o Lead the integration of AI technologies into the product’s core functionalities, ensuring smooth deployment and operation. o Collaborate with DevOps teams to automate and monitor AI-driven processes. o Continuously monitor and optimize AI models post-deployment to enhance performance and reliability.
4. Research & Innovation: o Stay updated on the latest advancements in AI and machine learning, and integrate relevant technologies into the product development lifecycle. o Conduct exploratory research to identify new AI applications that could benefit the product. o Engage in continuous learning and development to remain at the forefront of AI technology trends.
Skills and Qualifications :
• Education: Master’s or Ph.D. in Data Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience: 4+ years of hands-on experience with AI/ML, data analysis, and related technologies.
• Technical Skills : o Proficiency in programming languages such as Python, R , and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) . o Experience with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud) . o Strong analytical skills with experience in statistical analysis and predictive modeling.
• Soft Skills : o Excellent problem-solving abilities and attention to detail. o Strong communication skills, with the ability to convey complex AI concepts to non-technical stakeholders.

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