Senior Associate - Product

Job Title : AI Engineer / Gen AI Engineer (LLM/NLP)

Location : Remote

Duration : Long-term Contract

Openings : 2

Job Description :

We are looking for two AI Engineers with expertise in Generative AI, LLMs, and NLP. One of them must have a strong Azure background and be well-versed in Azure AI services.

Key Requirements :

• Experience in Generative AI, LLMs, and NLP
• Azure AI Expertise (For one of the roles):
• Azure AI Search
• Azure AI Document Intelligence
• Azure AI Foundry
• Development & deployment of RAG-based chatbots and AI agents using Azure AI
• Programming : Python (Intermediate to Expert Level)

Job Title: Digital Marketing Executive

Job Type: Full Time

Location: Indore

Summary/Objective:

We are looking for an experienced and results-driven Digital Marketing Executive to join our dynamic marketing team. The ideal candidate will be responsible for implementing effective digital marketing strategies to optimize our online presence.

Responsibilities:

•     SEO: Implement and manage search engine optimization (SEO) strategies to improve search rankings and drive traffic to our website.

•     Social Media Marketing (SMM): Develop and execute social media strategies across platforms such as Facebook, Instagram, Twitter, and LinkedIn.

•     Pay-Per-Click (PPC) Campaigns: Create and manage PPC campaigns to generate leads and increase brand visibility.

•     Facebook and Instagram Setup: Manage the setup and maintenance of our Facebook and Instagram shopping features.

•     Shopping Engine Product Feed: Oversee the submission of product feeds to various shopping engines and ensure they are optimized for maximum visibility and conversion.

•     Data Analysis & Reporting: Utilize Excel for data analysis and creating detailed marketing reports to track performance and inform strategy.

•     Social Media Post Scheduling: Utilize social media post scheduling tools to plan and publish content efficiently.

•     Email Marketing: Implement email marketing campaigns using various tools to engage with customers and prospects.

Qualifications/Requirements:

Education:

•     Bachelor's degree in Marketing, Digital Media, or related field.

Experience:

•     Proven experience in digital marketing.

•     Strong understanding of SEO, SMM, and PPC.

•     Proficient in Microsoft Excel for report creation and data analysis.

•     Familiarity with social media calendar planning and posting schedule.

•     Experience with email marketing tools and strategies.

•     Experience in e-commerce marketing.

•     Certifications in Google Analytics, Google Ads, or similar platforms.

Skills:

•     Creative thinking with a focus on innovation and problem-solving.

•     Excellent communication and analytical skills.

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

• Develop, implement and manage our social media strategy
• Define most important social media KPIs
• Manage and oversee social media content
• Measure the success of every social media campaign
• Stay up to date with latest social media best practices and technologies
• Use social media marketing tools such as Buffer
• Attend educational conferences
• Work with copywriters and designers to ensure content is informative and appealing
• Collaborate with Marketing, Sales and Product Development teams
• Monitor SEO and user engagement and suggest content optimization
• Communicate with industry professionals and influencers via social media to create a strong network
• Hire and train other in the team
• Provide constructive feedback
• Adhere to rules and regulations
• Present to Senior Management

Responsibilities

• Our Site reliability engineers work on improving the availability, scalability, performance, and reliability of enterprise production services for our products as well as our customer’s data lake environments.
• You will use your expertise to improve the reliability and performance of Hadoop Data lake clusters and data management services. Just as our products, our SRE are expected to be platform and vendor-agnostic when it comes to implementing, stabilizing, and tuning Hadoop ecosystems.
• You’d be required to provide implementation guidance, best practices framework, and technical thought leadership to our customers for their Hadoop Data lake implementation and migration initiatives.
• You need to be 100% hand-on and as a required test, monitor, administer, and operate multiple Data lake clusters across data centers.
• Troubleshoot issues across the entire stack - hardware, software, application, and network.
• Dive into problems with an eye to both immediate remediations as well as the follow-through changes and automation that will prevent future occurrences.
• Must demonstrate exceptional troubleshooting and strong architectural skills and clearly and effectively describe this in both a verbal and written format.

Requirements

• Customer-focused, Self-driven, and Motivated with a strong work ethic and a passion for problem-solving.
• 4+ years of designing, implementing, tuning, and managing services in a distributed, enterprise-scale on-premise and public/private cloud environment.
• Familiarity with infrastructure management and operations lifecycle concepts and ecosystem.
• Hadoop cluster design, Implementation, management and performance tuning experience with HDFS, YARN,
• HIVE/IMPALA, SPARK, Kerberos and related Hadoop technologies are a must.
• Must have strong SQL/HQL query troubleshooting and tuning skills on Hive/HBase.
• Must have a strong capacity planning experience for Hadoop ecosystems/data lakes.
• Good to have hands-on experience with – KAFKA, RANGER/SENTRY, NiFi, Ambari, Cloudera Manager, and HBASE.
• Good to have data modeling, data engineering, and data security experience within the Hadoop ecosystem.Good to have deep JVM/Java debugging and tuning skills.

Responsibilities
As an SDET at Jumio, the candidate is expected to develop and maintain automated functional, integration and load tests for web applications that ensure the quality of developed product features. They are supposed to be champions of quality and participate in developing and enhancing continuous delivery solutions. They are expected to participate
actively in agile development rhythms (scrum, kanban etc), be able to read / write good quality code. The role also requires some level of manual testing depending on project needs.

Required Qualifications

1. Bachelor's Degree in Computer Science or related field and 3+ years relevant work experience.
2. Experience in unit testing, acceptance testing, integration testing, system/end-to-end testing for Web applications / REST services
3. Experience in Spring Framework is required
4. Minimum 3 years experience with Java or Groovy or Python
5. Ideally some experience with Spring Boot, Docker, Selenium, AWS
6. Comfortable usage of UNIX-like operating system and basic bash scripting knowledge
7. Spring Framework Knowledge
8. Enjoy working in a self-organizing team environment
9. Strong debugging, troubleshooting, and problem solving skills
10. Think further than the solution appears to require
11. Excellent analytical, conceptual and communications skills in spoken and written English
12. Fast learner, high capacity for abstract thinking and structured approach to work plus a hands-on mentality and international mindset

1. Strong knowledge of data structures, algorithms, distributed systems, and asynchronous architecture
2. Strong understanding of system and application performance characteristics
3. .Net or AngularJS knowledge
4. Mobile Automation Testing, esp. Appium
5. Machine Learning / Computer Vision knowledge