Job Description

:

\xef\x82\xb7 Use predictive modelling to increase and optimize power generation, price, cost savings,
customer experiences and other business outcomes
\xef\x82\xb7 Experience in statistical modelling, machine learning, probability theory, algorithms. data
mining, unstructured data analytics and natural language processing
\xef\x82\xb7 Expertise in machine learning techniques such as Clustering, Regression, Bayesian
methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality
reduction, SEM, GLM, GLMM, Deep learning, Neural Network, Topic Modelling, Multivariate
Statistics, K-NN, Na\xc3\xafve Bayes etc.
\xef\x82\xb7 Working knowledge of popular Deep Learning architectures and theory, simulation,
scenario analysis, constraint optimization, anomaly detection, semi-supervised machine
learning, unsupervised learning algorithms using deep learning etc.
\xef\x82\xb7 Experience with optimization techniques (Linear Programming, Genetic Algorithm, Sim.
Annealing, MC Simulation)
\xef\x82\xb7 Experience in one of the upcoming technologies like deep learning, NLP, NLG, image
processing, recommender systems, chatbot, voice AI, video AI etc.
\xef\x82\xb7 Experience of working on end-to-end data science pipeline: problem scoping, data
discovery and extraction, EDA, modelling, evaluation, insights, visualizations, continuous
improvement, maintenance, and business value/impact tracking.
\xef\x82\xb7 Problem-solving: Ability to break the problem into small parts and applying relevant
techniques to drive required outcomes.
\xef\x82\xb7 You will be required to discuss and use various algorithms and approaches daily.
\xef\x82\xb7 Leading the entire software lifecycle including hands-on development, code reviews,
testing, deployment, and documentation. Agile SCRUM and MLOps experience is preferred.
\xef\x82\xb7 Develop reusable/scalable assets and accelerators. Implement ML best practices.
\xef\x82\xb7 Work directly with our internal technical teams to ensure that our solutions are seamlessly
and effectively integrated

\xef\x82\xb7 Analyse the market and industry trends in the technology and proactively look for
opportunities in proposing the best solutions. Proactively research on upcoming ML
techniques and best practices.
\xef\x82\xb7 Responsible for coding, testing, debugging, evaluating solution/ technology options
(including Cloud), and documenting application development
\xef\x82\xb7 Migrate current analytics applications & pipelines to Cloud in future
We\xe2\x80\x99re excited if you have:
\xef\x82\xb7 6 -10 years of hands-on experience in data science and AI/ML
\xef\x82\xb7 Graduate with Engineering Degree (CS/Electronics/IT) / MCA / MCS + Masters in
Statistics/Economics/Business Analytics
\xef\x82\xb7 Ability to interpret complex business requirements and translating them into analytical
problems to deliver high value outputs
\xef\x82\xb7 Experience in Data science work bench in Cloud platforms
\xef\x82\xb7 Hands-on experience in Python, NLP, Kafka, Spark/Pyspark, Scala, Airflow, Microservices,
REST API. Elastic search, PostgreSQL, Power BI,
\xef\x82\xb7 Strong knowledge on Python, NLP, Google, and Cloud libraries/packages
\xef\x82\xb7 Experience in text, image, video analytics
\xef\x82\xb7 Awareness of Data structures \xe2\x80\x93 RDBMS, NoSQL and columnar databases.
\xef\x82\xb7 Experience with configuration management and version control apps (ie: GIT) and
experience working within a CI/CD framework is a plus. An even bigger plus if you have
experience in Agile, SCRUM and MLOps.
\xef\x82\xb7 Experience with Cloud technologies and architecture is a plus
\xef\x82\xb7 Experience in managing multiple projects and stakeholders with excellent communication
and interpersonal skills
\xef\x82\xb7 Ability to develop and organize high-quality documentation
\xef\x82\xb7 Superior analytical skills and a strong sense of ownership in your work
\xef\x82\xb7 Ability to thrive in a fast-paced environment, and to manage multiple, competing priorities
simultaneously
\xef\x82\xb7 Experience in Client expectation Management, Project Scoping, Delivery, Project
Management, Risk management and Value Tracking
\xef\x82\xb7 Prior Energy & Utilities industry experience is a big plus.

About Company

Skillety is a gig-economy startup crowdsourcing platform. We provide various types of Staffing services like Full-Time, Part-time, Contractors & Freelancers. We help our Clients to move away from the old and soiled hierarchical business structure, and evolve into a 21st Century on-demand, open talent, cross-functional team; with a skilled and passionate workforce who are more engaged, effective & productive.

Skillety Technologies