- 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 requirement/opportunities.

Technical 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

Exposure to below skills :

- 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