Must have total 11+ YOE, and 8+ Years in hands-on Data Science, Algorithms, NLP, Machine Learning
Must have at least 3+ YOE in working on building and optimizing search systems (preferably for high-volume eCommerce platforms)
Must have strong hands-on expertise with statistical tools and programming languages (Python, R, SAS) and open-source ML libraries)
Must have proven experience in data modelling / algorithms involving taxonomy, ontology, tags, thesaurus, and metadata models for search systems
Must have experience with Big Data frameworks (Hadoop, Spark) for search / ML workloads
Must have Hands-on experience with AI / ML frameworks / libraries (TensorFlow, PyTorch, scikit-learn, Keras, Spark ML).
Must have experience with SQL / NoSQL databases (CosmosDB, Cassandra, MongoDB).
The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy
Preferred :
Familiarity with modern frontend frameworks (React, Angular, HTML5, CSS3).
Must Hands-on with dev tools : Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory and web servers (Tomcat, Jetty, JBoss).
BE / B.Tech / M.Tech
Job Specific Criteria :
CV Attachment is mandatory
We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?
Please Provide CTC breakup (Fixed & Variable)?
Role & Responsibilities :
The Primary focus of this role is to develop and manage applications involved with Search Systems.
Maintain and upgrade search indices for large document repositories, as well as optimizing indexing / queries and supporting analytics.
He will be leading a Team of search engineers who build Tags, taxonomy, Thesaurus and ontology data models and standard to define and organize our customers search experience.
Drive and coordinate cross-functional projects with broad range of Loan, Insurance and investment products owners, engineers, designers and other groups that may include architecting new data solutions
Analyze website metrics and customer behaviour data to make intelligent decisions on optimizing our search model.
Collaborate and consult directly with key stakeholders, technical teams and leadership on solutions for taxonomy and metadata that will positively impact the customers search experience
Expand and refine data retrieval techniques to use our extensive product catalog and improve customer data quality
This role is for machine learning and data-oriented product development (horizontal capability builds) but it will also require strong program management and execution skills.
Technical Interactions with vendor or partners in technical capacity for business / capability deliverables.
Develops proof of concept to prove or disprove validity of concept.
Work with cross functional team to integrate these models into larger solutions.
Works collaboratively in a multi-disciplinary team environment;
Establishes and maintains professional networks with subject matter experts.
Responsible for artificial intelligence / machine learning technology and application analysis, understand latest industrial and academic developments in AI / ML.
Design competitive AI / ML services and user experience for next generation products and create prototypes for demonstration.
Strong empowerment and self-drive is a must.
Ideal Candidate :
PhD / MTech / BE / BTech / MSc in CS or Math, Operation research, Statistics, Econometrics or in any quantitative field
10+ years of industrial experience in Search, Information retrieval, NLP, Machine learning, predictive analytics solution development and deployment
Strong Problem-solving ability
Should have strong experience in anyone or more programming languages Python or JAVA. Experience in RESTful, Web Services,
Experience in using Python, R, SAS or any other statistical software (plus other open-source libraries)
skills with Shell / Perl (or similar scripting language), Scala and Java
Experience with development tools like Eclipse, Git, Gradle, Jenkins, Jira, JFrog Artifactory etc.
Experience with web application server like Tomcat, Jetty, JBoss etc.
Strong understanding of OOP design patterns and industry best practices.
Fair knowledge of scripting and working in Linux environment
Good to have Experience of building Solutions with latest front-end technologies (JavaScript libraries like React or Angular, CSS3, HTML5).
Hands-on experience of API Integration single-sign -on and token-based authentication. Experience integrating with SQL and NoSQL databases (Cosmos DB, Cassandra, MongoDB)
Good understanding of DevOps pipeline like Azure Devops. Experience in Agile environment
Experience in any of the following area could be plus : Lucene based search engines (Elasticsearch, Solr)
Experience in mentoring junior team members, and guiding them on machine learning, NLP, Computer Vision, Speech analytics and data modeling applications
Strong communication and data presentation skills
Skills with Relational Databases, Data warehouses, Structured & Unstructured data forms.
Publications / patents / presentation in recognized Machine Learning and Data Mining journals / conferences is preferred
Solid knowledge in deep learning algorithms and AI system design and architecture.
Strong hands-on nature (ability to self-code is a must).
Strong capability to work on server class (cloud machines) for data science capability builds
Strong IT & Business interactions capability
Strong team player with exceptional program management.
(ref : hirist.tech)
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Data Scientist • Pune
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