AI Engineer
<\/h4><\/div><\/div>- We are looking for talented AI Solutions Engineer who are passionate and know\-how the process of building scalable and secure functionality on top of the technology platform. You will be associated with a qualified and experienced pool of people with whom you will build correlations by sharing your experience and growing your capabilities.
<\/li><\/ul><\/div><\/div>Primary Objectives
<\/h4><\/div><\/div>- Rapidly Implement State\-of\-the\-Art AI and Machine Learning Models to Enhance
<\/div>Graphic Design and Marketing Solutions
<\/div><\/li><\/ul><\/div><\/div>Roles & Responsibilities
<\/h4><\/div><\/div>- Model Selection: Choose and evaluate pre\-trained AI models for specific tasks.
<\/li> - Data Preparation: Work with data teams to ready data for model training.
<\/li> - Algorithm Tuning: Fine\-tune and optimize machine learning algorithms.
<\/li> - System Integration: Embed AI components into existing software solutions.
<\/li> - Testing: Validate the performance and efficacy of AI implementations.
<\/li> - Performance Monitoring: Use analytics to track AI feature performance and make adjustments.
<\/li> - Documentation: Briefly document the development process and algorithms used.
<\/li><\/ul><\/div><\/div>
<\/div><\/span>
Requirements<\/h3>- Python Programming: Proficiency in Python, commonly used for AI and machine learning projects.
<\/li> - Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or scikit\-learn.
<\/li> - Data Manipulation: Skills in data cleaning, transformation, and preparation using
<\/div>tools like Pandas or SQL.
<\/div><\/li>- Software Development: Strong foundational skills, including version control, debugging, and testing.
<\/li> - API Integration: Experience with RESTful APIs or similar technologies for integrating machine learning models.
<\/li> - Cloud Computing: Familiarity with platforms like AWS.
<\/li> - Data Visualization: Basic skills in data visualization tools for analyzing data and
<\/div>model performance.
<\/div><\/li>- Statistical Analysis: Understanding of statistical methods for evaluating models and
<\/div>performance.
<\/div><\/li>- Teamwork & Communication: Ability to collaborate effectively in cross\-functional
<\/div>teams and communicate technical concepts.
<\/div><\/li>- Continuous Learning: Willingness to stay current with advancements in AI and
<\/div>machine learning.
<\/div><\/li><\/ul><\/div><\/div>Key Expertise
<\/h4><\/div><\/div>- Python, AI and machine learning Frameworks(TensorFlow, PyTorch, or scikit\-learn), RESTful APIs, AWS,
<\/li><\/ul><\/div><\/div>Qualification
<\/h4><\/div><\/div>- Bachelor\u2019s Degree in Computer Science or Computer Engineering,
<\/li> - B.Tech (CSE/ IT),BCA, MCA, M.Tech.
<\/li><\/ul><\/div><\/div>Experience
<\/h4><\/div><\/div>- 1 to 5 years of experience in the technological role.
<\/li><\/ul><\/div><\/div>
<\/div><\/span>
Benefits<\/h3>
<\/h4><\/div><\/div>- 22 Paid Leaves
<\/li> - 5 Days Working
<\/li> - Good Company Culture
<\/li> - Health Insurance
<\/li> - Life Insurance
<\/li> - Pension Scheme
<\/li> - Statutory Benefits (PF & ESIC)
<\/li> - Salary on time
<\/li> - Yearly Picnic
<\/li> - Annual Sports Day
<\/li> - Monthly Events
<\/li> - Festival Celebrations
<\/li><\/ul><\/div><\/div>
<\/div><\/span>
- We are looking for talented AI Solutions Engineer who are passionate and know\-how the process of building scalable and secure functionality on top of the technology platform. You will be associated with a qualified and experienced pool of people with whom you will build correlations by sharing your experience and growing your capabilities.
<\/li><\/ul><\/div><\/div>Primary Objectives
<\/h4><\/div><\/div>- Rapidly Implement State\-of\-the\-Art AI and Machine Learning Models to Enhance
<\/div>Graphic Design and Marketing Solutions
<\/div><\/li><\/ul><\/div><\/div>Roles & Responsibilities
<\/h4><\/div><\/div>- Model Selection: Choose and evaluate pre\-trained AI models for specific tasks.
<\/li> - Data Preparation: Work with data teams to ready data for model training.
<\/li> - Algorithm Tuning: Fine\-tune and optimize machine learning algorithms.
<\/li> - System Integration: Embed AI components into existing software solutions.
<\/li> - Testing: Validate the performance and efficacy of AI implementations.
<\/li> - Performance Monitoring: Use analytics to track AI feature performance and make adjustments.
<\/li> - Documentation: Briefly document the development process and algorithms used.
<\/li><\/ul><\/div><\/div>
<\/div><\/span>Requirements<\/h3>
- Python Programming: Proficiency in Python, commonly used for AI and machine learning projects.
<\/li> - Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or scikit\-learn.
<\/li> - Data Manipulation: Skills in data cleaning, transformation, and preparation using
<\/div>tools like Pandas or SQL.
<\/div><\/li>- Software Development: Strong foundational skills, including version control, debugging, and testing.
<\/li>- API Integration: Experience with RESTful APIs or similar technologies for integrating machine learning models.
<\/li>- Cloud Computing: Familiarity with platforms like AWS.
<\/li>Data Visualization: Basic skills in data visualization tools for analyzing data and
<\/div>model performance.
<\/div><\/li>Statistical Analysis: Understanding of statistical methods for evaluating models and
<\/div>performance.
<\/div><\/li>Teamwork & Communication: Ability to collaborate effectively in cross\-functional
<\/div>teams and communicate technical concepts.
<\/div><\/li>Continuous Learning: Willingness to stay current with advancements in AI and
<\/div>machine learning.
<\/div><\/li><\/ul><\/div><\/div>Key Expertise
<\/h4><\/div><\/div>- Python, AI and machine learning Frameworks(TensorFlow, PyTorch, or scikit\-learn), RESTful APIs, AWS,
<\/li><\/ul><\/div><\/div>Qualification
<\/h4><\/div><\/div>- Bachelor\u2019s Degree in Computer Science or Computer Engineering,
<\/li> - B.Tech (CSE/ IT),BCA, MCA, M.Tech.
<\/li><\/ul><\/div><\/div>Experience
<\/h4><\/div><\/div>- 1 to 5 years of experience in the technological role.
<\/li><\/ul><\/div><\/div>
<\/div><\/span>Benefits<\/h3>
<\/h4><\/div><\/div>- 22 Paid Leaves
<\/li> - 5 Days Working
<\/li> - Good Company Culture
<\/li> - Health Insurance
<\/li> - Life Insurance
<\/li> - Pension Scheme
<\/li> - Statutory Benefits (PF & ESIC)
<\/li> - Salary on time
<\/li> - Yearly Picnic
<\/li> - Annual Sports Day
<\/li> - Monthly Events
<\/li> - Festival Celebrations
<\/li><\/ul><\/div><\/div>
<\/div><\/span>
- 22 Paid Leaves
- 1 to 5 years of experience in the technological role.
- Bachelor\u2019s Degree in Computer Science or Computer Engineering,
- Software Development: Strong foundational skills, including version control, debugging, and testing.
- Python Programming: Proficiency in Python, commonly used for AI and machine learning projects.
- Model Selection: Choose and evaluate pre\-trained AI models for specific tasks.