- Algorithm Development:
- Design, implement, and optimize machine learning algorithms for predictive modeling and data analysis.
- Leverage AI techniques to enhance automation processes within the organization.
- RPA Implementation:
- Develop and deploy robotic process automation solutions to streamline and automate repetitive business processes.
- Integrate RPA with AI/ML components to enhance decision-making capabilities.
- Data Science and Analysis:
- Conduct exploratory data analysis to derive actionable insights from diverse datasets.
- Utilize statistical techniques and data visualization tools for effective communication of findings.
- Model Deployment:
- Deploy and manage machine learning models in production environments.
- Implement RPA solutions across various business units, ensuring scalability and reliability.
- Collaboration:
- Collaborate with cross-functional teams, including data scientists, software engineers, and business analysts, to understand project requirements.
- Work closely with business stakeholders to align AI and RPA initiatives with organizational goals.
- Performance Monitoring and Optimization:
- Implement monitoring tools for AI models and RPA processes to ensure optimal performance.
- Continuously optimize algorithms and automation workflows for efficiency and accuracy.
- Innovation and Research:
- Stay abreast of the latest trends, research, and best practices in AI, ML, Data Science, and RPA.
- Lead initiatives to apply innovative AI and RPA solutions to address business challenges.
- Proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Knowledge of RPA tools such as UiPath, Automation Anywhere, or Blue Prism.
- Familiarity with natural language processing (NLP) and computer vision techniques.
- Understanding of data engineering tools and technologies.
- Minimum of 5 years of professional experience in roles involving AI, ML, Data Science, and RPA.
- Proven track record of deploying AI models and implementing RPA solutions in real-world applications.
- End-to-end project experience across AI, ML, Data Science, and RPA domains.
- Bachelor's or Master's or Ph.D. in a relevant field such as Computer Science, Artificial Intelligence, or Data Science.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work in a dynamic and fast-paced environment.
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Data Scientist - Chennai, India - Talentgigs
Description
AI Engineer
Location: Teynampet
Notice period: Immediate joiner
Shift : Night Shift
Job Title: AI Engineer
Job Description:
We are seeking an experienced AI Engineer with a minimum of 5 years of hands-on expertise in artificial intelligence (AI), machine learning (ML), data science, and robotic process automation (RPA). The ideal candidate should possess a diverse skill set to drive innovation across various domains and effectively apply AI technologies to solve complex business problems.
Key Responsibilities:
Technical Skills:
Experience:
Qualifications: