Customer Support Executive

Must Have -

a. Background working with Startups

b. Good knowledge of Kubernetes & Docker

c. Background working in Azure

What you’ll be doing

• Ensure that our applications and environments are stable, scalable, secure and performing as expected.
• Proactively engage and work in alignment with cross-functional colleagues to understand their requirements, contributing to and providing suitable supporting solutions.
• Develop and introduce systems to aid and facilitate rapid growth including implementation of deployment policies, designing and implementing new procedures, configuration management and planning of patches and for capacity upgrades
• Observability: ensure suitable levels of monitoring and alerting are in place to keep engineers aware of issues.
• Establish runbooks and procedures to keep outages to a minimum. Jump in before users notice that things are off track, then automate it for the future.
• Automate everything so that nothing is ever done manually in production.
• Identify and mitigate reliability and security risks. Make sure we are prepared for peak times,
• DDoS attacks and fat fingers.
• Troubleshoot issues across the whole stack - software, applications and network.
• Manage individual project priorities, deadlines, and deliverables as part of a self-organizing team.
• Learn and unlearn every day by exchanging knowledge and new insights, conducting constructive code reviews, and participating in retrospectives.

Requirements

• 2+ years extensive experience of Linux server administration include patching, packaging (rpm), performance tuning, networking, user management, and security.
• 2+ years of implementing systems that are highly available, secure, scalable, and self-healingon Azure cloud platform
• Strong understanding of networking, especially in cloud environments along with a good understanding of CICD.
• Prior experience implementing industry standard security best practices, including those recommended by Azure
• Proficiency with Bash, and any high-level scripting language.
• Basic working knowledge of observability stacks like ELK, prometheus, grafana, Signoz etc
• Proficiency with Infrastructure as Code and Infrastructure Testing, preferably using Pulumi/Terraform.
• Hands-on experience in building and administering VMs and Containers using tools such as Docker/Kubernetes.
• Excellent communication skills, spoken as well as written, with a demonstrated ability to articulate technical problems and projects to all stakeholders.

Company Description

TNQTech is a publishing technology and services company. Our AI-enabled technology and products deliver content services to some of the largest commercial publishers, prestigious learned societies, associations, and university presses. These services reach millions of authors through our clientele. We are dedicated to advancing publishing technology and providing innovative solutions to our users.

Role Description

This is a full-time on-site role for a Senior Data Scientist - Lead Role located in Chennai. The Senior Data Scientist will lead the data science team, conduct statistical analyses, develop data models, and interpret complex data to provide actionable insights. Additionally, responsibilities include overseeing data analytics projects, creating data visualizations, and ensuring the accuracy and quality of data analysis. Collaboration with cross-functional teams to understand data needs and drive data-driven decision-making is also key.

Qualifications

• Proficiency in Data Science and Data Analysis
• Strong background in Statistics and Data Analytics
• Experience with Data Visualization tools and techniques
• Excellent problem-solving and analytical skills
• Ability to lead and mentor a team of data scientists
• Strong communication and collaboration skills
• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As an AI Engineer at Moative, you will be at the forefront of applying cutting-edge AI to solve real-world problems. You will be instrumental in designing and developing intelligent software solutions, leveraging the power of foundation models to automate and optimize critical workflows. Collaborating closely with domain experts, data scientists, and ML engineers, you will integrate advanced ML and AI technologies into both existing and new systems. This role offers a unique opportunity to explore innovative ideas, experiment with the latest foundation models, and build impactful products that directly enhance the lives of citizens by transforming how government services are delivered. You'll be working on challenging and impactful projects that move the needle on traditionally difficult-to-automate processes.

Responsibilities

• Utilize and adapt foundation models, particularly in vision and data extraction, as the core building blocks for developing impactful products aimed at improving government service delivery. This includes prompt engineering, fine-tuning, and evaluating model performance
• Architect, build, and deploy intelligent AI agent-driven workflows that automate and optimize key processes within government service delivery. This encompasses the full lifecycle from conceptualization and design to implementation and monitoring
• Contribute directly to enhancing our model evaluation and monitoring methodologies to ensure robust and reliable system performance. Proactively identify areas for improvement and implement solutions to optimize model accuracy and efficiency
• Continuously learn and adapt to the rapidly evolving landscape of AI and foundation models, exploring new techniques and technologies to enhance our capabilities and solutions

Who you are

You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration. 

You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of directly impacting government services and making a positive difference in the lives of citizens

Skills & Requirements

• 3+ years of experience in programming languages such as Python or Scala
• Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes)
• Tuning and deploying foundation models, particularly for vision tasks and data extraction
• Excellent analytical and problem-solving skills with the ability to break down complex challenges into actionable steps
• Strong written and verbal communication skills, with the ability to effectively articulate technical concepts to both technical and non-technical audiences

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

What you need to have:

About the Company

TSS is a fast-growing company incorporated in 2008

TSS is a solution provider for the financial industry, with clients in India, South Africa and USA

TSS is also known for creating effective products which help in getting complete control of the back office and middle office related functions. Our clients are typically banks, stockbrokers, stock exchanges and hedge funds.

Company Website: http://www.trackwizz.com/">www.trackwizz.com

Job Description of Associate Automation Test Engineer-Mumbai 

• Product Analytics: This is the first and most obvious role of the Product Analyst. At this capacity, the Product Analyst is responsible for the development and delivery of tangible consumer benefits through the product or service of the business.
• In addition, in this capacity, the Product Analyst is also responsible for measuring and monitoring the product or service’s performance as well as presenting product-related consumer, market, and competitive intelligence.
• Product Strategy: As a member of the Product team, the Product Analyst is responsible for the development and proposal of product strategies.
• Product Management Operations: The Product Analyst also has the obligation to respond in a timely manner to all requests and inquiries for product information or changes. He also performs the initial product analysis in order to assess the need for any requested changes as well as their potential impact.
• At this capacity, the Product Analyst also undertakes financial modeling on the products or services of the business as well as of the target markets in order to bring about an understanding of the relations between the product and the target market. This information is presented to the Marketing Manager and other stakeholders, when necessary.
• Additionally, the Product Analyst produces reports and makes recommendations to the Product Manager and Product Marketing Manager to be used as guidance in decision-making pertaining to the business’s new as well as existent products.
• Initiative: In this capacity, the Product Analyst ensures that there is a good flow of communication between the Product team and other teams. The Product Analyst ensures this by actively participating in team meetings and keeping everyone up to date.
• Pricing and Development: The Product Analyst has the responsibility to monitor the market, competitor activities, as well as any price movements and make recommendations that will be used in key decision making. In this function, the Product Analyst will normally liaise with other departments such as the credit/risk in the business in order to enhance and increase the efficiency of effecting price changes in accordance with market shifts.
• Customer/Market Intelligence: The Product Analyst has the obligation to drive consumer intelligence through the development of external and internal data sources that improve the business’s understanding of the product’s market, competitor activities, and consumer activities.
• In the performance of this role, the Product Analyst develops or adopts research tools, sources, and methods that further support and contribute to the business’s product.

Certification required-
DP-100/DP-200/AZ-900 Cetification Mandatory
Requirements:

1. 3+ years of hands-on experience in Azure Databricks platform .Delta lake, Time travel design patterns. Lambda Data Architecture
2. Experience in Azure Cloud Platform. (ADLS, Blob , ADF ).
3. Understanding of big data file formats like JSON, Avro, Parquet and other prevalent big data file formats
4. Experience with Python, PySpark, Scala, Spark to write data pipelines and data processing layers
5. Demonstrate expertise in writing complex, highly-optimized SQL queries across large data sets
6. Experience with Data Governance ( Data Quality, Metadata Management, Security, etc.)
7. Strong SQL skills and proven experience in working with large datasets and relational databases.
8. Understanding Data Warehouse design principles (Tabular, MD).
9. Experience in working with big data tools/environment to automate production pipelines
10. Familiarity with Azure Synapse and Snowflake
11. Experience with data visual analysis and BI tools (matplotlib  and Power BI)