Job Title:  AI Engineer (2-3 Years of Experience) 

 Location:  Bangalore, Koramangala 

 About VectorStack:   

VectorStack is a dynamic and creative leader in the IT industry, delivering high-quality, high-value products, consulting, and support services all in one comprehensive package. We are dedicated to fostering innovation and providing our clients with outstanding, cutting-edge solutions. With a commitment to excellence, we offer 24/7 service, ensuring quick and efficient resolution of any challenges that arise. Join our team at VectorStack, where forward-thinking solutions meet real-world impact.

 About the Role:   

We are seeking a skilled  AI Engineer  with 2 to 3 years of hands-on experience to join our AI team in  Bangalore (Koramangala) . In this role, you will work on developing and optimizing machine learning and deep learning models, collaborating with a team of data scientists and engineers to deliver AI-driven solutions. You will contribute to cutting-edge AI projects, work with large datasets, and apply your knowledge of machine learning algorithms to solve real-world problems. This is an excellent opportunity to further develop your expertise while working in a fast-paced, innovative environment.

 Key Responsibilities: 

-  AI Model Development:  Design, implement, and deploy machine learning and deep learning models for a variety of business applications.

-  Data Preprocessing & Feature Engineering:  Handle large datasets by cleaning, transforming, and performing exploratory data analysis (EDA) to prepare data for model training.

-  Model Optimization:  Fine-tune and optimize machine learning and deep learning models for better accuracy and performance.

-  Collaboration:  Work closely with cross-functional teams (product, engineering, and data science) to develop AI solutions that align with business objectives.

-  AI Research:  Keep up with the latest research and developments in machine learning, deep learning, and AI technologies to integrate state-of-the-art techniques into your work.

-  Code Quality:  Write clean, efficient, and maintainable Python code, following best practices in version control (Git) and software development.

-  Performance Monitoring:  Evaluate and monitor model performance, using appropriate metrics and techniques, and make improvements as necessary.

 Required Qualifications: 

-  Experience:  2 to 3 years of hands-on experience in machine learning, deep learning, and AI model development.

-  Education:  Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

-  Programming Skills:  Strong proficiency in  Python , with experience in data manipulation and analysis libraries such as  Pandas  and  NumPy .

-  Machine Learning Expertise:  Experience in applying  supervised  and  unsupervised learning  algorithms to real-world problems.

-  Deep Learning Frameworks:  Practical knowledge of deep learning frameworks such as  TensorFlow  and  PyTorch .

-  Model Deployment:  Familiarity with deploying machine learning models into production environments.

-  Version Control:  Experience with  Git  for version control and collaboration.

 Technical Skills: 

-  Machine Learning: 

 - Experience with common ML algorithms (e.g., regression, classification, clustering) and their practical application.

 - Proficiency with model evaluation techniques, including performance metrics such as  accuracy ,  precision ,  recall , and  F1 score .

 - Experience with  scikit-learn  and other machine learning libraries.

-  Deep Learning: 

 - Solid understanding of  neural networks  and deep learning models, including CNNs (Convolutional Neural Networks).

 - Experience with deep learning architectures like  ResNet  and  VGG .

 - Hands-on experience with  image classification ,  object detection , and other computer vision tasks.

-  Programming & Data Engineering: 

 - Proficiency in  Python , with hands-on experience writing efficient, modular code.

 - Solid understanding of  data structures ,  algorithms , and  software engineering best practices .

 - Experience with  Jupyter Notebooks  for exploratory analysis and prototyping.

 Preferred Skills: 

-  Web Development:  Exposure to web frameworks like  Flask  or  Django  for building and deploying AI-based applications.

-  Computer Vision:  Experience with  OpenCV  or other computer vision libraries for image processing.

-  Natural Language Processing (NLP):  Familiarity with NLP concepts such as  text classification ,  sentiment analysis , and  named entity recognition (NER) .

-  Cloud Platforms:  Exposure to cloud platforms like  AWS ,  Google Cloud (GCP) , or  Azure  for model deployment and scalability.

-  Data Preprocessing:  Experience with advanced  data preprocessing , including feature engineering and scaling techniques.

 Soft Skills: 

-  Problem-Solving:  Strong analytical and problem-solving abilities, with a focus on delivering actionable insights and innovative solutions.

-  Communication:  Good verbal and written communication skills, able to explain technical concepts to non-technical stakeholders.

-  Teamwork:  Ability to work well in a collaborative, team-oriented environment and engage with colleagues across various teams.

-  Self-Driven:  A proactive approach to learning and staying current with AI/ML trends, technologies, and methodologies.

-  Attention to Detail:  Strong focus on quality, with the ability to produce high-quality work while maintaining a focus on deadlines.