We are looking for a passionate and technically skilled AI / Machine Learning Engineer to join our growing technology team. The ideal candidate will contribute to the development of intelligent applications, automation systems, and data-driven solutions that support business operations and digital products. This role provides an exciting opportunity to work with modern artificial intelligence technologies, machine learning frameworks, deep learning models, and scalable AI systems in a collaborative and innovation-focused environment.
The candidate will be responsible for designing, developing, training, testing, and optimizing AI and machine learning models for real-world business applications. You will work closely with software developers, data analysts, technical architects, and business stakeholders to identify challenges, analyze data, and implement AI-powered solutions that improve operational efficiency and product capabilities.
The ideal applicant should possess strong programming skills, analytical thinking, problem-solving abilities, and a solid understanding of machine learning concepts, data science processes, and AI frameworks. Exposure to computer vision, natural language processing, predictive analytics, and scalable AI deployment practices will be highly valuable for this role.
Key Responsibilities
- Design, develop, and implement AI and machine learning models for business applications and digital platforms
- Build intelligent automation solutions using machine learning, deep learning, and data-driven approaches
- Develop, train, evaluate, and optimize machine learning algorithms and neural network models
- Work on projects related to computer vision, image analysis, object detection, and pattern recognition
- Develop Natural Language Processing (NLP) solutions for text analysis, classification, and language understanding tasks
- Collaborate with software development teams to integrate AI functionalities into existing systems and applications
- Create and maintain scalable data processing workflows, pipelines, and model deployment processes
- Analyze structured and unstructured datasets to generate insights and support predictive decision-making
- Conduct data preprocessing, feature engineering, model validation, and performance tuning activities
- Apply statistical modeling and predictive analytics techniques to solve business and operational challenges
- Use AI frameworks and libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, and OpenCV for model development
- Participate in technical planning sessions, architecture discussions, design reviews, and project meetings
- Monitor AI model performance, troubleshoot issues, and improve system efficiency and scalability
- Prepare technical documentation, model reports, workflow updates, and implementation guidelines
- Ensure adherence to coding standards, security guidelines, and software quality best practices
- Support deployment, maintenance, and continuous improvement of AI-powered applications and services
- Stay updated with emerging AI technologies, machine learning trends, research advancements, and industry best practices
Required Skills & Qualifications
- Strong understanding of Artificial Intelligence, Machine Learning, and Data Science fundamentals
- Proficiency in Python programming and related development tools
- Good knowledge of Deep Learning concepts, Neural Networks, and model optimization techniques
- Hands-on experience with machine learning and AI frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn
- Understanding of Computer Vision, Image Processing, and Object Detection techniques
- Knowledge of Natural Language Processing (NLP) concepts and language modeling approaches
- Familiarity with OpenCV, image analysis, and pattern recognition methodologies
- Understanding of predictive analytics, statistical modeling, and data mining concepts
- Experience working with structured and unstructured datasets for AI model development
- Ability to build scalable, reliable, and performance-oriented AI applications
- Strong analytical thinking, logical reasoning, and problem-solving abilities
- Good verbal and written communication skills
- Ability to work effectively in collaborative and cross-functional team environments
- Attention to detail, quality standards, and project delivery timelines
- Flexibility to adapt to evolving technologies and fast-paced development environments
Preferred Skills
- Experience in AI model deployment, monitoring, and optimization techniques
- Exposure to large-scale data processing and AI workflow management systems
- Understanding of model validation, experimentation, and performance evaluation methodologies
- Familiarity with cloud-based AI platforms and machine learning services
- Knowledge of text analytics, recommendation systems, and advanced AI techniques
- Experience working with Agile methodologies and collaborative software development practices
- Understanding of MLOps concepts, automation workflows, and AI lifecycle management
- Exposure to research-oriented AI development and innovation-driven projects
- Interest in automation, intelligent systems, and emerging AI technologies
- Ability to manage multiple assignments and coordinate with technical and business teams
Education
- B.E. / B.Tech / B.Sc. / M.Sc. in Artificial Intelligence, Data Science, Computer Science, Information Technology, Machine Learning, or a related technical field from a recognized university or institution