Data Science
R Programming
Python
Machine Learning (ML)
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonMachine Learning (ML)
Deep Learning🎯 Ideal Candidate Profile:
This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.
📋 Must-Have Requirements:
Experience & Education Combinations:
Candidates must meet one of the following criteria:
- Doctorate (PhD) + 2 years of related work experience
- Master's Degree + 5 years of related work experience
- Bachelor's Degree + 7 years of related work experience
Technical Skills:
- Minimum 5 years of hands-on experience in all of the following:
- Python
- Deep Learning (DL)
- Machine Learning (ML)
- Algorithm Development
- Image Processing
- 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.
Industry & Institute:
- Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
- Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
- Preference: Candidates from engineering product companies are strongly preferred.
ℹ️ Additional Role Details:
- Interview Process: 3 technical rounds followed by 1 HR round.
- Work Model: Hybrid (requiring 3 days per week in the office).
Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.
📝 Required Skills and Competencies:
💻 Programming & ML Prototyping:
- Strong Proficiency: Python, Data Structures, and Algorithms.
- Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).
🤖 Machine Learning Frameworks:
- Core Concepts: Solid understanding of:
- Supervised/Unsupervised Learning
- Regularization
- Feature Engineering
- Model Selection
- Cross-Validation
- Ensemble Methods: Experience with models like XGBoost and LightGBM.
🧠 Deep Learning Techniques:
- Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
- Architectures: Knowledge of:
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory networks (LSTMs)
- Transformers
- Attention Mechanisms
- Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.
💬 LLMs & RAG (Retrieval-Augmented Generation):
- Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
- Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
- Advanced Techniques: Proficiency in:
- Prompt Engineering
- Function/Tool Calling
- JSON Schema Outputs
🛠️ Data & Tools:
- Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
- Tools: Experience with Git/GitHub, Jupyter, and basic Docker.
🎓 Minimum Qualifications (Experience & Education Combinations):
Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:
- Doctorate (Academic) Degree + 2 years of related work experience.
- Master's Level Degree + 5 years of related work experience.
- Bachelor's Level Degree + 7 years of related work experience.
⭐ Preferred Traits and Mindset:
- Academic Foundation: Solid academic background with strong applied ML/DL exposure.
- Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
- Communication: Clear communicator who can explain ML/LLM trade-offs simply.
- Ownership: Strong problem-solving and ownership mindset.
PythonA 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.
Python
JavaAbout Sun King
Sun King is the world’s leading off-grid solar energy company, providing affordable solar solutions to the 1.8 billion people without reliable access to electricity. By combining product design, fintech, and field operations, Sun King has connected over 20 million homes to solar power across Africa and Asia, adding more than 200,000 new homes each month. Through ‘pay-as-you-go’ financing, customers make small payments to eventually own their solar systems, saving money and reducing reliance on harmful energy sources like kerosene.
Sun King employs 2,800 staff across 12 countries, with expertise in product design, data science, logistics, customer service, and more. The company is expanding its product range to include clean cooking, electric mobility, and entertainment solutions, all while supporting a diverse workforce — with women making up 44% of the team.
About the role:
The role involves designing, executing, and maintaining robust functional, regression, and integration testing to ensure product quality and reliability, along with thorough defect tracking, analysis, and resolution. The individual will develop and maintain UI and API automation frameworks to improve test coverage, minimize manual effort, and enhance release efficiency. Close collaboration with development teams is expected to reproduce issues, validate fixes, and ensure high-quality releases. The role also includes integrating automated tests into CI/CD pipelines, supporting production issue analysis, and verifying hotfixes in live environments. Additionally, the candidate will actively participate in requirement and design reviews to ensure testability and clarity, maintain comprehensive QA documentation, and continuously improve testing frameworks, tools, and overall QA processes.
What you will be expected to do:
- Design, execute, and maintain test cases, test plans, and test scripts for functional, regression, and integration testing.
- Identify software defects, document them clearly, and track them through to closure.
- Analyze bugs and provide detailed insights to help developers understand root causes.
- Partner closely with the development team to reproduce issues, validate fixes, and ensure overall product quality.
- Develop, maintain, and improve automated test suites (API/UI) to enhance test coverage, reduce manual effort, and improve release confidence.
- Work with CI/CD pipelines to integrate automated tests into the deployment workflow.
- Validate production issues, support troubleshooting, and verify hotfixes in real-time environments.
- Recommend improvements in product performance, usability, and reliability based on test findings.
- Participate in requirement and design reviews to ensure clarity, completeness, and testability.
- Benchmark against competitor products and suggest enhancements based on industry trends.
- Maintain detailed test documentation, including test results, defect logs, and release readiness assessments.
- Continuously improve QA processes, automation frameworks, and testing methodologies.
You might be a strong candidate if you have/are:
- Bachelor’s Degree in Computer Science, Information Technology, or a related field.
- 2+ years of hands-on experience in software testing (manual + exposure to automation).
- Strong understanding of QA methodologies, testing types, and best practices.
- Experience in designing and executing test cases, test plans, and regression suites.
- Exposure to automation tools/frameworks such as Selenium, Playwright, Cypress, TestNG, JUnit, or similar.
- Basic programming or scripting knowledge (Java/Python preferred).
- Good understanding of SQL for backend and data validation testing.
- Familiarity with API testing tools such as Postman or RestAssured.
- Experience with defect tracking and test management tools (Jira, TestRail, etc.).
- Strong analytical and debugging skills with the ability to identify root causes.
- Ability to work effectively in Agile/Scrum environments and partner with developers, product, and DevOps teams.
- Strong ownership mindset — having contributed to high-quality, near bug-free releases.
Good to have:
- Exceptional attention to detail and a strong focus on product quality.
- Experience with performance, load, or security testing (JMeter, Gatling, OWASP tools, etc.).
- Exposure to advanced automation frameworks or building automation scripts from scratch.
- Familiarity with CI/CD pipelines and integrating automated tests.
- Experience working with observability tools like Grafana, Kibana, and Prometheus for production verification.
- Good understanding of microservices, distributed systems, or cloud platforms.
What Sun King offers:
- Professional growth in a dynamic, rapidly expanding, high-social-impact industry
- An open-minded, collaborative culture made up of enthusiastic colleagues who are driven by the challenge of innovation towards profound impact on people and the planet.
- A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds.
- Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Sun King Center for Leadership.
Job Summary:
We are looking for a skilled and reliable Production Executive with an ITI Fitter background to support the signage production team. The ideal candidate will handle the assembly, fitting, and basic fabrication of signage structures, while coordinating workflow to ensure timely completion of jobs. This role combines technical skills with day-to-day production coordination.
Key Responsibilities:
· Execute fitting and assembly work for signage products such as glow signs, acrylic boards, ACP structures, metal frames, and LED setups.
· Interpret and work from technical drawings or production plans.
· Handle tools, machines, and equipment for cutting, welding, drilling, and assembly task.
· Assist the production supervisor in planning and organizing daily tasks.
· Inspect completed products for quality, measurements, and proper finishing.
· Ensure proper use of materials to minimize wastage.
· Coordinate with design, printing, and installation teams for job readiness.
· Maintain tools and ensure a clean and safe working environment.
· Report any delays, material shortages, or technical issues to the Production Manager.
Go Programming (Golang)
Ruby on Rails (ROR)
RubyPythonJavaResponsibilities:
- Design, develop, and implement robust and efficient backend services using microservices architecture principles.
- Write clean, maintainable, and well-documented code using C# and the .NET framework.
- Develop and implement data access layers using Entity Framework.
- Utilize Azure DevOps for version control, continuous integration, and continuous delivery (CI/CD) pipelines.
- Design and manage databases on Azure SQL.
- Perform code reviews and participate in pair programming to ensure code quality.
- Troubleshoot and debug complex backend issues.
- Optimize backend performance and scalability to ensure a smooth user experience.
- Stay up-to-date with the latest advancements in backend technologies and cloud platforms.
- Collaborate effectively with frontend developers, product managers, and other stakeholders.
- Clearly communicate technical concepts to both technical and non-technical audiences.
Qualifications:
- Strong understanding of microservices architecture principles and best practices.
- In-depth knowledge of C# programming language and the .NET framework (ASP.NET MVC/Core, Web API).
- Experience working with Entity Framework for data access.
- Proficiency with Azure DevOps for CI/CD pipelines and version control (Git).
- Experience with Azure SQL for database design and management.
- Experience with unit testing and integration testing methodologies.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Strong written and verbal communication skills.
- A passion for building high-quality, scalable, and secure software applications.
- EE Functional Knowledge and experience in QAD Implementation
- EE Customization experience
- ICT experience
- EDI Experience (Good to have)
- Qxtend handling experience ( Good to have)
- Knowledge of Automotive / FMCG / Medical Devices / Industrial Manufacturing domains
- Good oral and written communication
Robot Pilots are the front line of Cognicept’s operation and play an essential role in
the successful deployment of robotics: remotely resolving, analyzing, and reporting
robot errors. Providing a quick resolution to the client robot system is the highest
priority. These interventions ultimately lead to better performance and more
sophisticated applications of robotic systems. Robot Pilots use an error reporting
management system to document their interventions and findings into a
centralized database which is then used by the client, other Cognicept Robot Pilots,
and our engineers located worldwide.
Key responsibilities :
- Incident Management for robot issues within SLA.
- Error handling and resolution.
- Remote monitoring and robot operations.
- Help robots find their way by remotely correcting their internal “GPS” location and
driving/controlling the robot through unpredictable situations using
Cognicept’s propriety intervention system (it’s like a video game).
- Identify and report errors/failures/bugs, and suggest improvements to
processes and technologies.
- Manage inbound and outbound calls in a timely manner.
- Follow communication “scripts” and standard operating procedures.
- Identify customers’ needs, clarify information, research every issue and
provide solutions and/or alternatives.
- Keep detailed records of all interventions in the Cognicept database.
- Track personal/team qualitative and quantitative KPIs with your line manager.
- Take part in training and other learning opportunities to expand knowledge of
Cognicept and the position.
Skills/Qualifications:
- Experience with incident management, customer service and tech support preferred.
- Solid oral and written communication skills.
- Solid reading comprehension and listening skills.
- A keen eye for detail.
- Ability to work both independently and as part of a team.
- Excellent time to task management.
- Owns a laptop that runs Google Chrome and has a headset. (BYOD culture)
- Owns a functional smartphone with a data plan and an Indian phone number.
- Able to work in 24/7 shift with 6 days of working.
Overview Of Responsibilities:
Create the vision and product roadmap for the next generation of ground operations solutions; articulate and evangelize it across internal and external stakeholders
Work closely with Operations and Planning teams to improve business processes and network design
Work closely with Data, Engineering and Design teams to define and build products that help us deliver high - precision and low cost services
Be the key driving force behind building additional products service capabilities
Qualifications:
A degree in engineering or a related technical discipline from Tier - I institute a must
8 - 12 years of product management experience in internet startups/supply chain organization / SaaS products or e-commerce; B2B / B2B2C experience preferred.
Strong communication and organization skills, as well as the ability to think clearly, analyze quantitatively, problem-solve, multi-task, and prioritize
Sound business judgment, attention to detail, proven ability to influence others, demonstrated experience engaging and influencing senior executives, and a strong analytical mindset
Proven track record of independently building and launching technology products from the ground up; delivering within time, budget, and quality
Demonstrated ability to turn customer needs and pain points into innovative products
The ability to thrive in a fast-paced, deadline-driven environment, along with the tenacity to develop ideas independently and the conviction to drive them to completion is crucial for this
Retrieve and analyze data, and establish key business metrics to measure product success and drive alignment across all teams to improve their role
Domain knowledge of supply chain/logistics is preferable, but not required,
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Full Stack Developer - Averlon