Lead AI Engineer 

Job Details

Category:

Information Technology

Career Level:

Experienced (Non-Managerial)

Experience:

4 Years

Required Qualification:

Bachelors

Requires Traveling:

No

Salary:

Salary Not disclosed

Salary Type:

Per Month

Total Vacancies:

2

Skills

machine learningdeep learningnlp

Description

Innovative Solutions is hiring Lead AI Engineer.

Location: Islamabad

Qualification: Bachelors/Masters in Computer Science (Specialization in AI/Data Science preferred).

Experience: + years of relevant experience.

Task & Responsibilities will include:

• Prototype, explore, and compare multiple deep learning techniques.

• Evaluate new technologies.

• Continually innovate the development of gaming engines and Chatbot-like apps.

• Tweak code to alter parameters and improve the performance of algorithms.

• Perform literature reviews to find solutions for up-and-coming problem(s).

• Integration of open source code.

• Select features, build and optimize classifiers using machine learning techniques.

• Data mining through state-of-the-art methods.

• Use third-party sources when needed.

• Enhance data collection to include relevant information to feed analytic systems.

• Process, cleanse, and verify the integrity of data used for analysis.

• Perform ad-hoc analysis and reporting results in an understandable manner.

• Create automated anomaly detection systems and constantly track their performance.

Required Skills:

• Understanding of deep learning algorithms such as Convolutional Neural Networks.

• Excellent understanding of machine learning algorithms, including k-NN, Naive Bayes, SVM, and Decision Forests, to name a few.

• Working knowledge of Tensor flow, Scikit-Learn, Pandas, Keras, etc.

• Knowledge of natural language processing, chess engine, and C++ is a plus.

• Experience in using data science toolkits, such as R, Weka, NumPy, and MatLab.

• Must have excellent communication skills.

• Experienced with NoSQL databases, such as MongoDB, and Cassandra.

• Manual programming skills.

• Excellent applied statistics skills, like distributions, statistical testing, and regression.

• Excellent scripting and programming skills.

• Hands-on experience of Natural Processing.