Model Development: Design, develop, and deploy machine learning models and AI solutions to address complex business problems.
Data Analysis: Work with large datasets to clean, preprocess, and analyze data, ensuring high data quality and relevance.
Algorithm Optimization: Implement and refine algorithms to improve the performance and accuracy of AI models.
Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing systems and workflows.
Research: Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques and methodologies to enhance our AI capabilities.
Performance Monitoring: Monitor the performance of AI systems, troubleshoot issues, and make necessary adjustments to maintain optimal functionality.
Documentation: Create and maintain comprehensive documentation for AI models, including design specifications, training processes, and deployment strategies.

Required Qualifications:
Education: B.tech or M.tech or MCA or Bachelor's or master''s degree in Artificial intelligence, computer science or Data Analyst or related fields.
Experience: Experience in AI/ML development,



with a proven track record of deploying AI solutions in a production workplace.
IMMEDIATE JOINERS REQUIRED Technical Skills:
Must have proficiency in programming languages such as Python, Machine Learning, Deep Learning
Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
Solid knowledge of machine learning algorithms, neural networks, and natural language processing (NLP).
Experience in integrating AI based solutions with web frameworks like Django, Flask.
Problem-Solving: Excellent analytical and problem-solving skills, with the ability to work independently and as part of a team.
Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Project Management: Ability to manage multiple projects simultaneously and meet deadlines in a rapid-paced environment.

Preferred Qualifications:
Experience with reinforcement learning, deep learning, or computer vision.
Contributions to open-source AI projects or published research in AI/ML.
Experience with big data technologies (e.g., Hadoop, Spark).

📌 Ai/ml Engineer New Delhi
🏢 Timble Glance
📍 New Delhi