AI/ML Engineer
oCode Technologies
O
City : Mohali Annual Salary : 6-8 lakhs Experience : 1 Year
Key responsibilities: AI/ML Solution Development: Design, build, and optimize machine learning models and algorithms for various applications, including natural language processing, computer vision, recommendation systems, and predictive analytics.
Data Collection and Preprocessing: Collaborate with data engineers to identify, acquire, and preprocess datasets, ensuring high quality and suitability for model training.
Model Training and Evaluation: Implement state-of-the-art AI/ML algorithms using frameworks like TensorFlow, PyTorch, or scikit-learn, and conduct rigorous testing and evaluation to measure performance and accuracy.
Deployment and Integration: Deploy AI models into production environments and integrate them into existing systems for efficient and reliable execution.
Algorithm Optimization: Continuously optimize and improve existing AI/ML models to enhance performance and scalability.
Research and Innovation: Stay current with the latest advancements in AI/ML research and technology, applying innovative approaches to address business challenges.
Collaborative Teamwork: Work closely with cross-functional teams to understand business requirements, develop technical solutions, and communicate project progress effectively.
Documentation: Maintain clear and concise documentation of AI/ML models, algorithms, and codebases to facilitate understanding and future enhancements.
Data Privacy and Security: Ensure compliance with data privacy and security protocols, protecting sensitive information.
Requirements:
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. A Ph.D. in a relevant domain is a plus.
Technical Skills: Proficiency in programming languages such as Python, R, or Java, with experience in popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
Machine Learning Expertise: Strong understanding of various machine learning algorithms, deep learning architectures, and statistical methods. Experience with supervised and unsupervised learning techniques.
Data Handling: Knowledge of data preprocessing, feature engineering, and data visualization techniques.
Software Development: Familiarity with software development principles, version control, and agile methodologies.
Problem-Solving Skills: Ability to analyze complex problems, develop innovative solutions, and troubleshoot issues effectively.
Communication: Excellent verbal and written communication skills, capable of conveying technical concepts to both technical and non-technical stakeholders.
Team Player: Collaborative mindset with the ability to work well within a team environment.
Python | TensorFlow | PyTorch | Keras | Scikit-learn | NLP | Computer Vision