Artificial Intelligence/Machine Learning Engineer - Python

Overview

• Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics
• Should have handson experience in leading a team of data scientists, works closely with clients technical team to plan, develop and execute on client requirements providing technical expertise and project leadership.
• Leads efforts to foster innovative ideas for developing high impact solutions.
• Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing
• Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions.
• Helps in design and develop advanced analytic solutions across functional areas as per Role and Responsibilities :
• Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence
• Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python
• Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods;
• Visualization tool experience - preferably with Tableau or Power BI
• Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera.
• Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight.
• Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship.
• Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond.
• Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics
• Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure.
• Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning
  
  

• Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Statistics
• Programming Languages : Python
• Libraries & Software Packages : Tensorflow, Keras, OpenCV, Pillow, Scikit-Learn, Flask, Numpy, Pandas, Matplotlib,Docker
• Cloud Services : Compute Engine, GCP AI Platform, Cloud Storage, GCP AI & MLAPIs
  
  

(ref:hirist.tech)