Customer / Tech Support Engineer

What are we looking or

1. Women-only
2. Experience in Sales and/or customer consulting
3. Ability to understand and handle data sets through google sheets and Excel
4. Experience: 1-2 Years

Job Role:

1. Convert highly qualified leads into Savage members, by consulting and guiding them based on their conditions and requirement
2. Assess ways to optimize the overall top of funnel lead flow at Savage by working with external communities
3. Create weekly reports on work done, what worked and what did not work.
4. Be the voice of prospective customers in the system

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of ECMAScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

• Strong Knowledge in Oracle Forms and Reports
• Should be familiar with various triggers, events , canvas, master child forms, record groups , build-ins, properties etc., in Forms and reports
• Strong Knowledge in SQL / PLSQL concepts
• Strong in Analytical and Aggregate functions
• Strong in writing Procedure / Function / Packages
• Strong knowledge in the user of Cursors / Collections / Exception handling
• Strong in Datatypes, Constrainsts , index
• Having exposure to JavaScript and ReactJS will be an added advantage

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

We are looking for an inside sales executive to help us find new sales opportunities and handle phone calls for the same. You will be required to achieve your given targets, collaborate with fellow employees and conduct demos.

What to expect from the role

• Make cold calls regarding inbound and outbound sales.
• Understand how to identify new sales opportunities.
• Work in a fast-paced goal-oriented environment.
• Learn on the job regarding how to conduct demos and sales in general.
• With time this job has scope for growth.

Responsibilities

• Identify new sales opportunities and handle both inbound and outbound calls to follow up.
• Make cold calls and emails to explore sales opportunities.
• Achieve quarterly milestones and close sales.
• Regularly study accounts and identify important players.
• Collaborate with teammates and work towards closing deals.
• Maintain a detailed database with all information on the prospects.
• Conduct offline demos to prospects and seal deals.

Requirements

• Any Degree (Preferably - Engineering Grads)..
• Strong sense of communication and phone skills.
• Well experienced with web presentation tools.