RIL

Major responsibilities include:

Work as a core member of an analytic pipeline
Understand the customers business need and guide them to a solution using our AI Services, AI Platforms, AI Frameworks.
Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
Design and develop AI solutions to address business process automation challenges by applying Machine Learning models, Deep
Learning, Classification models, statistical methods and NLU/NLP
Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK,Yolo,Pytorch and Keras to help our customers build DL models.
Knowledge of NLP Libraries like Spacy ,NLTK ,Genism, Seq2Seq,HuggingFace is must.]
Good Understanding of ML algorithms such as KNN, Decision Tree , Svm , Dbscan ,Optic,etc.
Use SparkML to help our customers build ML models.
Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
Research and implement novel ML and DL approaches.

Requirement

Bachelor’s degree in computer science, data science, mathematics, or a related field
At least 4+ years of experience in the following areas:
Minimum at least 4 AI/ML Implementations End to End
Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture
Strong analytical skills and programming skills.
Experience in any of the programming languages like Python, R,ML.Net.
In-depth knowledge of mathematics, statistics, and algorithms
Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture
Ability to work in cross-functional teams.
Excellent data presentation and visualization skills(Matplotlib, Seaborn,etc).
Develop software for IoT, Artificial Intelligence and Machine Learning application
Integration of Multiple data sources and database into one system
Integrate hardware/sensors and develop software to manage IoT/Industry 4.0 application
Configuring, coding, developing, and documenting software specifications throughout the project life cycle
Will ensure timely and seamless delivery of projects
Experience with Redshift, S3, EC2, Data Pipeline, Redis, Elastic Search, Kibana & EMR
Agile based development methodology

Nice to Have:

Good Interpersonal skills with experience of working with people spread across locations
Good written and oral communication skills.
Experience of working in Investment Banking Technology.
Should be able to work independently and within team.
Ability to work effectively under pressure, challenging deadlines.
Good to have C/C++,Scala.

Jobs

AI / ML Enginer