Data Scientist

A BIT ABOUT US

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Appknox has helped secure mobile apps at Fortune 500 companies with major brands spread across regions like India, South-East Asia, Middle-East, US, and expanding rapidly. We have secured 300+ Enterprises globally.

We are a 60+ incredibly passionate team working to make an impact and helping some of the biggest companies globally. We work in a highly collaborative, very fast-paced work environment. If you have what it takes to be part of the team, we are excited and let’s speak further.

The Opportunity

Appknox AI is building next-generation AI-powered security analysis tools for mobile applications. We use multi-agent systems and large language models to automate complex security workflows that traditionally require manual expert analysis.

We're looking for an AI/ML Engineer who will focus on improving our AI system quality, optimizing prompts, and building evaluation frameworks. You'll work with our engineering team to make our AI systems more accurate, efficient, and reliable.

This is NOT a data scientist role. We need someone who builds production AI systems with LLMs and agent frameworks.

Key Focus:

Primary Focus: AI System Quality 

• Prompt Engineering: Design and optimize prompts for complex reasoning tasks
• Quality Improvement: Reduce false positives and improve accuracy of AI-generated outputs
• Evaluation Frameworks: Build systems to measure and monitor AI quality metrics
• Tool Development: Create utilities and tools that enhance AI capabilities

  Secondary Focus: Performance & Optimization 

• Cost Optimization: Implement strategies to reduce LLM API costs (caching, batching, model  selection)
•  Metrics & Monitoring: Track system performance, latency, accuracy, and cost
•  Research & Experimentation: Evaluate new models and approaches
•  Documentation: Create best practices and guidelines for the team

Experience

• 2–3 years of professional experience building AI-powered systems
• Previous hands-on work with agentic systems, autonomous workflows, or LLM-centric applications (not focused on model training)

Requirements:

• Design, build, and deploy autonomous AI agents using modern LLM frameworks
• Integrate agents with APIs, databases, and backend workflows
• Implement prompt strategies, tool/function calling, memory, and context management
• Strong understanding of vector databases and retrieval techniques (RAG use cases)
• Build production-ready systems with testing, monitoring, and scalable deployment practices
• Collaborate with cross-functional teams to ship reliable production features
• Strong Python and backend engineering skills
• Hands-on experience with agent frameworks such as LangChain, AutoGen, LlamaIndex
• Familiarity with observability and debugging tools (e.g., Arize, LangSmith, Langfuse dashboards)

Good to Have skill-set:

• Experience with multi-agent orchestration or planning frameworks
• Experience with online and offline evaluation of AI agents
• Exposure to cloud deployment and containerization (AWS/GCP/Azure, Docker)

 What We're NOT Looking For:

•   Only academic/tutorial LLM experience (we need production systems)
•   Pure ML research focus (we're not training foundation models)
•   Data analyst/BI background without engineering depth
•   No experience with LLM APIs or agent frameworks

  Our Tech Stack:

  AI/ML Infrastructure:

•   Agent Frameworks: LangChain, LangGraph
•   LLMs: Google Gemini (primary), with multi-model support
•   Observability: Langfuse, DeepEval
•   Vector Search: LanceDB, Tantivy
•   Embeddings: Hybrid approach (local + cloud APIs)

  Platform & Infrastructure:

•   Orchestration: Prefect 3.x, Docker, Kubernetes
•   Storage: S3-compatible object storage, PostgreSQL
•   Languages: Python 3.11+
•   Testing: pytest with parallel execution support

Work Expectations & Success Metrics:

Within 1 Month (Onboarding)

- Understand AI system architecture and workflows

- Review existing prompts and evaluation methods 

- Run analyses and identify improvement areas 

- Collaborate on initial optimizations

Within 3 Months (Initial Contributions)

- Own prompt engineering for specific components 

- Build evaluation datasets and quality metrics 

- Implement tools that extend AI capabilities 

- Contribute to performance optimization experiments

Within 6 Months (Independent Ownership)

- Lead quality metrics implementation and monitoring 

- Drive prompt optimization initiatives 

- Improve evaluation frameworks

- Research and prototype new capabilities

Within 1 Year (Expanded Scope)

- Mentor team members on best practices 

- Lead optimization projects (caching, batching, cost reduction)

- Influence architectural decisions 

- Build reusable libraries and internal frameworks

 Interview Process:

• Round 0 Interview - Profile Evaluation (15 min)
• Round 1 Interview - Take Home Assignment
• Round 2 Interview - Technical Deep-Dive (90 min)
• Round 3 Interview- Team Fit (45 min)
• Round 4 Interview- HR Round ( 30 min)

Why Join Appknox AI?

Impact & Growth

Work on cutting-edge AI agent systems that power real-world enterprise security. You’ll collaborate with experienced engineers across AI, security, and infrastructure while gaining deep expertise in LangGraph, agent systems, and prompt engineering. As we scale, you’ll have clear opportunities to grow into senior and staff-level roles.

Team & Culture

Join a small, focused product-engineering team that values code quality, collaboration, and knowledge sharing. We’re in a hybrid set-up - based out of Banaglore, flexible, and committed to a sustainable pace - no crunch, no chaos.

Technology

Built with a modern Python stack (3.11+, async, type hints, Pydantic) and the latest AI/ML tools including LangChain, LangGraph, DeepEval, and Langfuse. Ship production-grade features that make a real impact for customers.

Compensation & Benefits:

Competitive Package

We offer strong compensation designed to reward impact.

Flexibility & Lifestyle

Hybrid work setup and enjoy generous time off. You’ll get top-tier hardware and the tools you need to do your best work.

Learning & Development

Access a substantial learning budget, attend major AI/ML conferences, explore new approaches during dedicated research time, and share your knowledge with the team.

Health & Wellness

Comprehensive health coverage, fitness subscription, and family-friendly policies.

Early-Stage Advantages

Help shape the culture, influence product direction, and work directly with founders. Move fast, ship quickly, and see your impact immediately.

this role is for the technical trainer to train the student for the placements

you also act as a trainer cum developer for some projects

We are seeking an experienced Engineering Leader to drive the design and delivery of secure, scalable, and high-performance financial platforms. This role requires strong technical leadership, people management skills, and deep understanding of FinTech systems, compliance, and reliability.

 Key Responsibilities

• Lead multiple engineering teams delivering FinTech platforms (payments, lending, banking, wallets, trading, or risk systems)
• Own architecture and system design for high-availability, low-latency, secure systems
• Partner with Product, Compliance, Risk, and Business teams to translate financial requirements into technical solutions
• Ensure adherence to security standards, regulatory compliance (PCI-DSS, SOC2, ISO), and data privacy
• Drive best practices in coding, testing, DevOps, observability, and system resilience
• Build, mentor, and retain high-performing engineering teams
• Oversee sprint planning, delivery timelines, and stakeholder communication
• Lead incident response, root cause analysis, and platform stability improvements

Required Skills & Qualifications

• 4+ years in leadership roles
• Strong hands-on expertise in Java / Node.js / Python / .NET / Go
• Experience building FinTech platforms — payments, banking, lending, trading, or risk systems
• Deep knowledge of distributed systems, microservices, APIs, databases, and cloud (AWS/Azure/GCP)
• Strong understanding of security, fraud prevention, and regulatory compliance
• Experience working in Agile/Scrum environments
• Excellent stakeholder and people management skills

About Us:

GreedyGame is looking for a Business Analyst to join its clan. We are looking to get an enthusiastic Business Analyst who likes to play with Data. You'll be building insights from Data, creating analytical dashboard and monitoring KPI values. Also you will coordinate with teams working on different layers of the infrastructure.

Job details:

Seniority Level: Associate

Level Industry: Marketing & Advertising

Employment Type: Full Time

Job Location: Bangalore

Experience: 1-2 years

WHAT ARE WE LOOKING FOR?

• Excellent planning, organizational, and time management skills.
• Exceptional analytical and conceptual thinking skills.
• A previous experience of working closely with Operations and Product Teams.
• Competency in Excel and SQL is a must.
• Experience with a programming language like Python is required.
• Knowledge of Marketing Tools is preferable.

WHAT WILL BE YOUR RESPONSIBILITIES?

• Evaluating business processes, anticipating requirements, uncovering areas for improvement, developing and implementing solutions.
• Should be able to generate meaningful insights to help the marketing team and product team in enhancing the user experience for Mobile and Web Apps.
• Leading ongoing reviews of business processes and developing optimization strategies.
• Performing requirements analysis from a user and business point of view
• Combining data from multiple sources like SQL tables, Google Analytics, Inhouse Analytical signals etc and driving relevant insights
• Deciding the success metrics and KPIs for different Products and features and making sure they are achieved.
• Act as quality assurance liaison prior to the release of new data analysis or application.

Skills and Abilities:

• Python
• SQL
• Business Analytics
• BigQuery

WHAT'S IN IT FOR YOU?

• An opportunity to be a part of a fast scaling start-up in the AdTech space that offers unmatched services and products.
• To work with a team of young enthusiasts who are always upbeat and self-driven to achieve bigger milestones in shorter time spans.
• A workspace that is wide open as per the open door policy at the company, located in the most happening center of Bangalore.
• A well-fed stomach makes the mind work better and therefore we provide - free lunch with a wide variety on all days of the week, a stocked-up pantry to satiate your want for munchies, a Foosball table to burst stress and above all a great working environment.
• We believe that we grow as you grow. Once you are a part of our team, your growth also becomes essential to us, and in order to make sure that happens, there are timely formal and informal feedbacks given

About OpsCruise

Digital business is driving a fundamental shift to cloud-native applications, creating a new set of operational and performance challenges ill-suited to the currently available solutions. At OpsCruise, we imagine a world of autonomous operations and are innovating a fundamentally different approach to performance management. OpsCruise’s vision is to automate the performance assurance of cloud applications using a model-driven closed-loop platform.

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Team

The OpsCruise team represents a global and talented team that includes domain experts in IT Operations, Networking, Storage, Hyperscale Systems and AI/ML that have built market-leading solutions at companies such as Cisco, Google, Hitachi, HP, Infoblox, Oracle and VMWare among others.

Our engineering culture values creativity, pragmatism, honesty, and simplicity to solve hard problems the right way.

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Role

We are looking for a Senior QA Engineer who will join our team building and rolling out our SaaS platform in the cloud AI/Ops space.

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Our Technology Stack

Our product involves the following technology areas with one or more tools in use in each area:

1. Container technologies, including creating Docker plugins and extensions
2. Serverless technologies including instrumentation, addons
3. Orchestrators including Kubernetes, OpenShift, Mesos, Swarm
4. Metric generation and collection including Prometheus and tools such as Dynatrace and Datadog
5. Tracing including OpenTracing, Jaeger
6. Graph tools and Databases including neo4j, JanusGraph, TinkerPop/Gremlin
7. TimeSeries databases such as Prometheus, OpenTSDB
8. NoSQL and Indexing tools such as MongoDB, Cassandra, Solr and Elastic
9. Languages including Java, Scala, Javascript, Python, R, and Go
10. Messaging tools including Kafka, Akka
11. Big Data tools including HDFS, YARN, Spark, Flink
12. AI/ML techniques including Statistical Analysis, Classification, Deep Learning, etc.
13. Cloud services: AWS, GCP, and Azure, their services in databases, networking and ML tools
14. High performance User Interfaces including AngularJS, Vue, D3.js and local stores
15. Authentication and Authorization including tools such as Okta and KeyCloak.

Responsibilities

1. Understand user level requirements, write up the test strategy, derive test plan and test cases in detail.
2. System and integration testing with automation of test cases using Python or Java.
3. Use test frameworks such as Robot Framework.
4. Use traffic generator tools such as JMeter for performance testing
5. Set up the target test environments in AWS, Azure or GCP
6. Containers based environment setup with Kubernetes and Docker, monitoring tools setup with Prometheus
7. Debug incidents and issue to narrow down to a root cause
8. Understand and reproduce internally issues reported by customers

Qualifications

The ideal candidate must have the following qualifications.

1. B.E/B.Tech Degree from a reputed institution with at least 4 years of relevant experience.
2. Hands-on experience with test automation using Python or Java.
3. Experience with test frameworks such as Robot Framework or TestNG.
4. Traffic generation tools usage such as curl-loader or JMeter
5. QA engineers for Networking Technology products such as switches, routers, L4-L7 products testing can also apply.
6. Knowledge of public clouds, AWS, Azure or GCP, is desired
7. Working knowledge in Kubernetes, Docker or Openshift environments required
8. Hands on experience with Linux
9. Strong problem solving and debugging abilities
10. Familiarity with continuous integration tools such as Jenkins or CircleCI
11. Interest in machine learning (ML) and data science is a plus

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems. 

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LOCATION

Chennai, India

Responsibilities

• Installing and configuring Informatica components, including high availability; managing server activations and de-activations for all environments; ensuring that all systems and procedures adhere to organizational best practices
• Day to day administration of the Informatica Suite of services (PowerCenter, IDS, Metadata, Glossary and Analyst).
• Informatica capacity planning and on-going monitoring (e.g. CPU, Memory, etc.) to proactively increase capacity as needed.
• Manage backup and security of Data Integration Infrastructure.
• Design, develop, and maintain all data warehouse, data marts, and ETL functions for the organization as a part of an infrastructure team.
• Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
• Develop and interpret organizational goals, policies, and procedures.
• Evaluate the organization's technology use and needs and recommend improvements, such as software upgrades.
• Prepare and review operational reports or project progress reports.
• Assist in the daily operations of the Architecture Team , analyzing workflow, establishing priorities, developing standards, and setting deadlines.
• Work with vendors to manage support SLA’s and influence vendor product roadmap
• Provide leadership and guidance in technical meetings, define standards and assist/provide status updates
• Work with cross functional operations teams such as systems, storage and network to design technology stacks.

Preferred Qualifications

• Minimum 6+ years’ experience as Informatica Engineer and Developer role
• Minimum of 5+ years’ experience in an ETL environment as a developer.
• Minimum of 5+ years of experience in SQL coding and understanding of databases
• Proficiency in Python
• Proficiency in command line troubleshooting
• Proficiency in writing code in Perl/Shell scripting languages
• Understanding of Java and concepts of Object-oriented programming
• Good understanding of systems, networking, and storage
• Strong knowledge of scalability and high availability

Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities: 

• Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions. 
• Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
• Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
• Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
• Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.

What You’ll Do

• Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
• Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data. 
• Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.

What You’ll Need

• 7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
• Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
• Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
• Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
• Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
• A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
• Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.

Candidate should have experince in L2 L3 Testing
Experience in Automation, Manual and Rgression Testing
Scripting language Python
Experience in Networking