IT Sales

Job Description:

As a developer in the chatbot team you’ll be responsible for expanding the scope of AERIN (Aertrip’s Chatbot) to handle all types of travel queries in a scalable and efficient manner. You will need to make AERIN as robust as possible and strive towards 100% accuracy. You should be able to design, develop, test and roll out new features quickly. You should be ready to tackle open-ended problems and build solutions for them.

Preferred qualifications & experience:

1. Bachelor’s degree in Computer Science or equivalent experience.
2. 1 or more years of work experience in the tech industry.
3. Experience with NLP solutions.
4. Experience with chatbot frameworks like RASA, DialogFlow is a bonus.
5. Experience with spacy, nltk and other ML libraries.
6. Familiarity with version control tools like Gitlab.
7. Experience in object oriented design and programming.
8. Sound programming skills to write algorithms for text analysis and context understanding.

Preferred Skills & Abilities:

1. Should be able to write clean and manageable code.
2. Passion for innovation.
3. Out of the box thinking.
4. Should be able to understand both the tech and business aspects of a system.
5. Should be able to meet deadlines.
6. Should be able to work in a collaborative environment.
7. Should be able to work independently in small teams.

 B.S. or above degree in Computer Science or related technical field  Work ethics: As a company and team we expect you to be an expert in your field, within our team – operating alone and as a project team. Projects, tasks, customer scenarios can change each day, so we expect you to be dynamic and self-managed.  As a team, we “lean-in” to support our teammates where and when possible.  The ability to work alone and as a team.  At least 3 years’ experience in an international Enterprise-level customer facing role, ideally in Enterprise Support or as a Technical Consultant.  Proven troubleshooting and problem-solving skills. o Note: we’d appreciate some brief examples to review during interview stages, including examples relating to Python.  Excellent level English, experience of working with Enterprise customers. Be comfortable with delivering presentations to larger audiences  Enterprise infrastructure solution architecture experience o Good knowledge of OAuth 2.0, OpenID Connect and SAML security standards with global identity providers including AADS, ADFS, GoogleID, OKTA , PING o Azure platform experience with related certifications o At least basic knowledge of Python. o Remote software distribution technologies like SCCM/ARD etc. desirable o Windows Application packaging and deployment experience desirable o Windows Virtualisation technologies experience including Citrix, Windows Remote Desktop, App-V, Hyper-V VMware Horizon, Windows Virtual Desktop desirable

Key Responsibilities

• Day to day management and successful long-term relationships with different accounts.

• Experience in fronting client relationships directly

• Handling operations and client management
• End to end project management
• Briefing the creative team, helping in the creation of a concept.
• Facilitating communication between Client Service Operations & other business units to ensure an effective operating environment.
• Focusing on the strategic aspects of maintaining and growing long-term relationships.
• Establishing growth plans for teams and managed accounts
• Strategizing and executing campaigns for clients.
• Identifying prospective clients, establishing strategic partnerships and alliances
• Working with senior management keeping them informed of new developments, service issues and new business opportunities.
• Managing paid social media campaigns 

Preferred Requirements:

• 4-10 yrs RELEVANT experience 

• Must have worked with digital agencies managing social media marketing and performance marketing (preferable)

• Also willing to consider exceptionally talented folks from offline agencies

• Located in Bangalore and willing to travel to HSR layout

• Experience in fronting client relationships directly

• Experience in social media marketing (organic & paid)
• Experience in relationship management, strong verbal and written communications skills

• Research and develop statistical learning models for data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Keep up-to-date with latest technology trends
• Communicate results and ideas to key decision makers
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design

Qualifications/Requirements:

• Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
• 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent communication skills written, verbal and presentation

Desired Experience:

• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Knowledge and experience with NLP technology
• Previous work in a start-up environment

Datametica is Hiring for Datastage Developer

• Must have 3 to 8 years of experience in ETL Design and Development using IBM Datastage Components.
• Should have extensive knowledge in Unix shell scripting.
• Understanding of DW principles (Fact, Dimension tables, Dimensional Modelling and Data warehousing concepts).
• Research, development, document and modification of ETL processes as per data architecture and modeling requirements.
• Ensure appropriate documentation for all new development and modifications of the ETL processes and jobs.
• Should be good in writing complex SQL queries.

About Us!

A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle – Data warehouse Assessment & Migration Planning Product

Raven – Automated Workload Conversion Product

Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

www.datametica.com

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Job Location: Indore | Full-Time Internship  | Stipend - Performance Based  | 

About the company:

Anaxee Digital Runners is building India's largest last-mile verification & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach remotest parts of India, on-demand.  KYC | Field Verification | Data Collection | eSign | Tier-2, 3 & 4

Sounds like a moonshot? It is. We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Website: www.anaxee.com

Important: https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">https://www.youtube.com/watch?v=7QnyJsKedz8

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs

Requirements:

• Bachelors or Masters (Pursuing or Graduated) in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over [X] years.
• Ability to program in any high-level language is required. Familiarity with R and statistical packages are preferred.
• Proven problem solving and debugging skills.
• Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing. Work experience with real data for customer insights, business, and market analysis will be advantageous.
• Experience with text analytics, data mining and social media analytics.
• Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.