Data Analyst

Strong MLOps profile

Mandatory (Experience 1) - Must have 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments

Mandatory (Experience 2) - Must have 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production

Mandatory (Experience 3) - Must have 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation

Mandatory (Experience 4) - Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch

Mandatory (Experience 5) - Must have hands-on Python for pipeline & automation development

Mandatory (Experience 6) - Must have 4+ years of experience in AWS cloud, with recent companies

Mandatory (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred

Qualifications

• Inside Sales and Lead Generation skills
• Effective Communication and Customer Service abilities
• Sales experience
• Ability to work on-site in Noida, India
• Strong negotiation and persuasion skills
• Strong sales and negotiation skills
• Experience in international sales and logistics
• Excellent communication and interpersonal abilities
• Experience in the transportation or logistics industry is a plus
• Bachelor's degree in Business Administration or related field

Application Integration Engineer -

Key Skills:

·        Knowledge of various Integrations approaches:

o  Native connectors

o  API – schema, design

o  ODBC

o  SFTP files

·        Experience integrating SaaS solutions.

o  Financial applications:

§ Ideally: Oracle NetSuite, Workday Adaptive

§ Nice to have: Coupa, Concur, Expensify, Avalara

o  CRM applications:

§ Ideally: Microsoft Dynamics

§ Nice to have: Salesforce, Hubspot Sales, various sales tools

·        Experience with key Microsoft Azure services: mainly data extraction (i.e., Data Factory), databases (SQL), storage (Data Lake), analytics 

·        Ability to work with data, including ETL

·        Nice to have - Knowledge of coding languages: Java script, XML, REST, etc.

·        Experience working with global teams

·        Ability to overlap some work hours with US EST/CT time

·        Solid communication skills

·        Proactive, takes initiative, outspoken

Experience

·        6 - 9 years

Responsibilities

• Create content marketing campaigns to drive leads and subscribers, using SEO best practices to generate traffic to our site
• Regularly produce various content types, including email, social media posts, blogs and white papers
• Actively manage and promote our blog, and pitch articles to relevant third-party platforms
• Edit content produced by other members of the team
• Analyses content marketing metrics and make changes as needed.
• Optimizing current content on our website (page titles, meta descriptions, h1s, alts, anchor text, etc.)
• SEO-friendly writing (as well as other forms of PR--media pitches, articles, etc.)
• Excellent verbal and written communication skills

Qualifications

Any Graduate/Post Graduate

Responsibilities

Understand systems enabling third party integration 

Translate business requirements to the APIs and SDKs exposed by these systems. Figure out the optimum interfaces to interact with these. 

Build generic connectors to interact with these technologies. 

Design, implement, deploy and maintain the connectors. 

Minimum Qualifications 

Bachelor’s degree in Computer Science or related fields. 

Experience needs to be around 8+ years 

Strong problem-solving skills. 

Ability to understand the technology and its APIs in quick time. 

Strong design pattern fundamentals. 

Good core java skills like Multi-threading, collection framework. 

Good communication and mentorship skills 

Ability to put together architecture diagrams and designs 

1. We are looking for designers having good creativity and communication, who are passionate about delivering a well-designed, scalable, intuitive user interface.
2. Motivated to learn things through sharing and experimentation that will help them and company become better at creating solutions.
3. Promotes a humble behaviour and maintains curiosity in learning new things to take on new challenges.
4. Developing user experience for web apps/mobile apps (iOS/Android).
5. A deep understanding of current technologies and design trends, and the desire to innovate using digital platforms.
6. Screen design of new websites or mobile applications using design tools like Photoshop, illustrator, XD etc.
7. Wireframe and UI prototyping.
8. Capability to communicate with clients, provide insight into UX decisions and collaborate with the project team.
9. Coordinate with engineering teams to develop great user experiences and ensure designs are optimized and implemented effectively.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.