AI / Machine Learning Engineer

DigitalXNode; Maharashtra; On-site; INR 800,000 - 1,200,000; Full time

Job summary

DigitalXNode in Maharashtra is seeking a passionate AI / Machine Learning Engineer to join their technology team. This role involves developing intelligent applications and automation systems using modern AI technologies.

The ideal candidate will design and implement machine learning models, collaborate with cross-functional teams, and work on projects involving computer vision and NLP. A degree in a relevant technical field and proficiency in Python are required for this position.

Qualifications

• Strong understanding of AI, ML, and Data Science fundamentals.
• Proficiency in Python and related tools.
• Good knowledge of Deep Learning and Neural Networks.
• Hands-on experience with ML and AI frameworks.
• Understanding of Computer Vision and NLP.

Responsibilities

• Design, develop, and implement AI and ML models.
• Build automation solutions using ML and data-driven approaches.
• Analyze datasets to generate insights and support decisions.
• Train, evaluate, and optimize ML algorithms.
• Integrate AI functionalities into existing systems.

Skills

Artificial Intelligence fundamentals

Python programming

Deep Learning concepts

Machine Learning frameworks

Computer Vision techniques

Natural Language Processing

Statistical modeling

Data processing

Analytical thinking

Collaboration skills

Education

B.E. / B.Tech / B.Sc. / M.Sc. in related fields

Tools

TensorFlow

Keras

PyTorch

Scikit-learn

OpenCV

Job description

Overview

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.

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