Experience :: 8-10 yrs

Responsibilities:

Design, develop, and implement AI models and algorithms to solve complex business problems.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Conduct research and stay up to date with the latest advancements in AI and machine learning.
Optimize and fine-tune AI models for performance, scalability, and accuracy.
Develop and maintain AI pipelines and workflows.
Perform data preprocessing, feature engineering, and model evaluation.
Deploy AI models into production environments and monitor their performance.
Provide technical guidance and mentorship to junior team members.

Required Skill Sets:

Educational Background: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field.
Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc.
Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn.
Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink.
Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions.
Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3.
Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN.
Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively.
Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

Preferred Qualifications:

Experience with AI ethics and responsible AI practices.
Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).
Familiarity with Agile methodologies and project management tools.

AI Developer