Inside Sales Specialist

Required Skills

• 4-6 years of professional experience building server applications with Node.js and the Spring framework.
• Experience working with the AWS Development stack, including: Lambda, API Gateway, DynamoDB, Cognito, Mobile Analytics, EC2 and RDS

Experience working with a handful of the following:

• relational databases: MySQL, or PostgreSQL or Oracle
• document-based data stores: MongoDB or CouchDB,
• key-value stores: DynamoDB, Redis, Memcached
• column-stores: Cassandra, Vertica
• Ability to work with front-end web technologies, like: HTML5/CSS3/Angular/Bootstrap
• Strong familiarity with *nix command line operations

About the Company –

OTO is re-imagining how 20M two-wheelers are bought & financed every year in India. We aim to simplify

the complete experience of buying and owning a two-wheeler by building products that are customer-centric and scalable. We are backed by some of the best Fintech Experts and Institutional Funds in the

country

Designation - Assistant Manager - Sales Trainer

Skills and Qualifications

Bachelor’s Degree.

3 to 5 years of experience.

Experience developing training materials.

Attention to detail.

Excellent written and oral communication skills

Fluency in Hindi is a must.

Job Responsibilities and Duties:

Complete training for all new hires and continual training for the entire sales staff.

Discipline and provide coaching to salespeople as necessary.

Engage in one-on-one reviews with salespeople to maximize performance.

Strategize new training methods to be implemented.

Partner with sales and marketing departments to set and progress toward goals.

Collect and interpret data to determine the effectiveness of training techniques.

Write and publish training materials.

Primary Responsibilities:

• We need strong SQL database development skills using the MS SQL server.
• Strong skill in SQL server integration services (SSIS) for ETL development.
• Strong Experience in full life cycle database development project using SQL server.
• Experience in designing and implementing complex logical and physical data models.
• Exposure to web services & web technologies (Javascript, Jquery, CSS, HTML).
• Knowledge of other high-level languages (PERL, Python) will be an added advantage
• Nice to have SQL certification.

Good to have:

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls 

Your Roles and Responsibilities

We are looking for an experienced MLOps Engineer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be a key member of a team in decision making, implementations, development and advancement of ML operations of the core AI platform.

• Work closely with a cross functional team to serve business goals and objectives.
• Develop, Implement and Manage MLOps in cloud infrastructure for data preparation,deployment, monitoring and retraining models
• Design and build application containerisation and orchestrate with Docker and Kubernetes in AWS platform. 
• Build and maintain code, tools, packages in cloud

• At Least 2+ years of experience in Data engineering 
• At Least 3+ yr experience in Python with familiarity in popular ML libraries.
• At Least 2+ years experience in model serving and pipelines
• Working knowledge of containers like kubernetes , dockers, in AWS
• Design distributed systems deployment at scale
• Hands-on experience in coding and scripting
• Ability to write effective scalable and modular code.
• Familiarity with Git workflows, CI CD and NoSQL Mongodb
• Familiarity with Airflow, DVC and MLflow is a plus

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.