Besant Technologies
Post Your Job

Artificial Intelligence Jobs in Hyderabad

By on January 23, 2019
Artificial Intelligence

Company Name: Krithi Systems Private Limited

Experience: 0- 3 yrs

Qualification: B. Tech, B.Sc ( Computer science ), BCA

Salary: ₹3,50,000 – ₹5,00,000/p.a

Location: Hyderabad, Telangana

Job Description

  • Excellent understanding of complex system architecture, components, and requirements.

Innovation-minded, highly capable to think systematically, capable to redefine the solutions to overcome the challenges and solving problems.

  • Explore and examine data from multiple disparate sources and communicate the findings, orally and visually.
  • Sift through all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem
  • Develop and design algorithms and frameworks in terms of API to leverage this data.

Hands-on expertise in Artificial Intelligence, Machine Learning, Neural Networks, Human-Computer Interaction, data science, applied mathematics, and Computer Vision. Development of end to end AI based product.

  • Self-driven, energetic, creative, with an ability to work across teams
  • Ability to understand a business problem and the available data and identify what machine learning techniques can be applied to answer a business question
  • Given a business problem, estimate solution feasibility and potential approaches based on available data
  • Ensure best practices for processing, cleansing, and verifying the integrity of data used for analysis and learning Quickly prototype solutions and build models to test the feasibility of solution approach
  • Contribute to data mining techniques and applications using state-of-the-art methods
    Work across the spectrum of reporting and data visualization, statistical modeling and supervised learning tools and techniques and apply the right level of solution to the right problem
  • Research deep learning approaches: Develop and integrate deep learning algorithms for transfer learning end-end reinforcement learning for control. Additionally, develop deep learning techniques for tracking, localization and behavioral planning

Algorithm development (Classification, segmentation, tracking)
Develop and integrate algorithms in TensorFlow and Caffe in Python and R environments.

Responsibilities and Duties

  • Must have 0- 3 years of expert-level understanding of Artificial Intelligence / Machine Learning technologies including some or all: knowledge representation & reasoning (KRR), natural language processing (NLP), speech recognition, unsupervised machine learning, and/or reinforcement learning.
  • Must have completed a specialized course in Data Science, Artificial Intelligence, Machine Learning or NLP for a minimum of 4 months for freshers
  • Good knowledge of Algorithms and Data structure. Solid knowledge in deep learning algorithms and AI system design and architecture
  • Good to have basic Knowledge of machine learning and pattern recognition techniques (e.g. recommendation algorithms, classification/regression, clustering).
  • Excellent written and oral communication skills and are essential

Bachelors or Master’s degree in computer science/engineering, mathematics, robotics.        Python/R programming experience.

  • Developed a Convolutional Neural network (CNN) / Recurrent Neural Network (RNN) or LSTM in a deep learning tool (Keras, TensorFlow, Caffe, Torch, ..).

Experience with a computer vision tool (OpenCV) and algorithms.

Required Experience, Skills and Qualifications

Must have 0- 3 years of expert-level understanding of Artificial Intelligence / Machine Learning technologies including some or all: knowledge representation & reasoning (KRR), natural language processing (NLP), speech recognition, unsupervised machine learning, and/or reinforcement learning.

Address: First Floor, 1107, Road Number 55, CBI Colony, Jubilee Hills, Hyderabad, Telangana 500033

Email-Id: hr@krithisystems.com

Phone: 077579 9260

About Admin

Leave a Reply

Your email address will not be published. Required fields are marked *