What You'll Do 

As a Data Scientist, you will: 

• Understand the business critical delivery organization and delivery processes


• Analyse current processes to identify avenues for growth and/or optimization by the implementation of AI/ML models


• Define and drive a technical vision and strategies to integrate machine learning algorithms into the existing delivery processes and tools


• Provide recommendations and drive development of new delivery capabilities that can be added to portfolio leveraging machine learning


• Work with project managers to run an agile development methodology and help track progress.


• Individual contributor, active community participant, mentor others and train and develop others.

Who You'll Work With 

• CX is a team of elite technical experts whose #1 focus is to help customers plan, design, deploy and operate their networks effectively while delivering the best possible customer experience. Our success is validated through exceptional financial results, growing customer happiness metrics, industry recognition, and employee happiness scores.


• Business leaders, Principal Engineers / Architects with a working knowledge of Data Science looking to execute an idea. You will also collaborate with other parts of the organization that owns the data as well as understands the data to gain a working knowledge.

Qualifications for this role are:

• B.S. in Engineering, Computer Science, statistics, or equivalent with 4+ years of proven experience


• Strong background in statistics and machine learning is required, preferably with 4+ years of industry experience in AI/ML or related fields


• Data Engineering Experience(SQL, Python, R, Scala)


• Answer complex business questions via structured problem solving, technical analysis, inferences, and delivering impactful insights & recommendations  


• Strong problem-solving skills

JOB RESPONSIBILITIES:

• Experience in software development in languages like Python, Spark & SQL. Experience in Tensor flow, keras, transformers, Sci-kit learn, python libraries


• Well versed in machine learning, information retrieval, applied statistics


• Ability to do exploratory analysis on big data and find key descriptive and inferential properties in large and diverse datasets


• Experience in Machine Learning and Deep Learning applied in various domains (Natural Language Processing etc) and with different data modalities


• Experience in graph processing, graph-based knowledge representation, knowledge engineering, graph-based reasoning, graph embeddings, semantics


• Understanding of natural language processing concepts and python scientific libraries like NLTK, spacy, Gensim, NMT, Extraction, Classification, Intent, Semantics, NER, BERT, Marian,T5, BART, Transformers, Embedding (Word2Vec, ELMO, Glove), Attention Models, LSTM, RNN, OCR/ICR, OpenCV, Contours Segmentation


• Experience with DL toolkits such as MXNet, TensorFlow, Caffe and Torch. Deployment- Pipelines, Flask, Django,Fast Api, TensorFlow Servings, Django, Micro services,Dockers, Kube-Flow


• demonstrate technical acumen in your work


• real passion for sophisticated data/engineering challenges


• Ability to communicate ideas and solutions to both technical and non-technical audiences


• Eager to take ownership of projects and technical initiatives


• Strong interpersonal skills to resolve issues in a professional manner, lead working groups, negotiate, and create consensus

Added advantage

• Knowledge of cloud services (GCP/AWS)