Image Processing Engineer

Job Description: 

Exp Range - [6y to 10y]

Qualifications:

• Minimum Bachelors Degree in Engineering or Computer Applications or AI/Data science
• Experience working in product companies/Startups for developing, validating, productionizing AI model in the recent projects in last 3 years.
• Prior experience in Python, Numpy, Scikit, Pandas, ETL/SQL, BI tools in previous roles preferred

Require Skills: 

• Must Have – Direct hands-on experience working in Python for scripting automation analysis and Orchestration
• Must Have – Experience working with ML Libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy etc.
• Must Have – Experience working with models such as Random forest, Kmeans clustering, BERT…
• Should Have – Exposure to querying warehouses and APIs
• Should Have – Experience with writing moderate to complex SQL queries
• Should Have – Experience analyzing and presenting data with BI tools or Excel
• Must Have – Very strong communication skills to work with technical and non technical stakeholders in a global environment

Roles and Responsibilities:

• Work with Business stakeholders, Business Analysts, Data Analysts to understand various data flows and usage.
• Analyse and present insights about the data and processes to Business Stakeholders
• Validate and test appropriate AI/ML models based on the prioritization and insights developed while working with the Business Stakeholders
• Develop and deploy customized models on Production data sets to generate analytical insights and predictions
• Participate in cross functional team meetings and provide estimates of work as well as progress in assigned tasks.
• Highlight risks and challenges to the relevant stakeholders so that work is delivered in a timely manner.
• Share knowledge and best practices with broader teams to make everyone aware and more productive.

We're Hiring | AI/ML Engineer (Training & Development) – Female Candidate Preferred

We are looking for a passionate and skilled Female AI/ML Engineer who can conduct engaging training sessions while also contributing to AI/ML development projects. The ideal candidate should have strong technical expertise along with excellent communication and presentation skills.

Experience: 2–3 Years

Key Skills: Python, Machine Learning, Deep Learning, Generative AI, LLMs, NLP, Computer Vision, LangChain, RAG, Prompt Engineering, TensorFlow, PyTorch, Scikit-learn

Training Expertise: Ability to deliver training sessions on AI/ML, Data Science, Python, Generative AI, and emerging technologies using various AI tools and platforms.

Preferred: Candidates with experience in both training and development activities.

📍 Location: Jaipur (On-site)

💻 Laptop Provided by Company

📅 Working Days: Monday to Saturday

💰 Salary: ₹25,000 – ₹30,000 per month

We are looking for a hands-on Associate / Architect – Generative AI to design, build, and deploy enterprise-grade GenAI platform capabilities across multiple business units. This role focuses on developing scalable and reusable AI components across the full stack, covering RAG systems, agent orchestration, LLM infrastructure, and GenAIOps on GCP (primary) and Azure.

Key Responsibilities

• Design and build production-ready Generative AI systems and platform components
• Develop and deploy scalable RAG pipelines including data ingestion, embeddings, retrieval, and APIs
• Build agentic AI systems with orchestration, routing, memory, and workflow management
• Develop and manage LLM infrastructure including model routing, caching, observability, and rate limiting
• Build scalable backend services and APIs for AI-driven applications
• Implement GenAIOps/MLOps practices including prompt management, evaluation, monitoring, and deployment
• Work extensively with GCP services such as Vertex AI, BigQuery, Cloud Run, GKE, and Pub/Sub
• Ensure AI governance, safety, compliance, PII protection, and auditability standards are maintained
• Design scalable enterprise AI architectures with strong focus on performance, reliability, and reusability
• Collaborate with cross-functional teams to deliver enterprise-grade AI solutions
• Mentor junior engineers and contribute to technical leadership, architecture discussions, and design reviews

Required Skills & Experience

• Strong hands-on experience building and deploying production-grade Generative AI and RAG systems
• Experience working on multi-agent or agentic AI architectures
• Strong proficiency in Python and backend/API development
• Hands-on experience with GCP AI/ML ecosystem including Vertex AI and BigQuery
• Solid understanding of LLM infrastructure, orchestration layers, and AI platform engineering
• Experience with CI/CD pipelines and Infrastructure as Code tools like Terraform
• Good understanding of GenAIOps/MLOps practices and model lifecycle management
• Strong system design and architecture experience for scalable AI platforms
• Exposure to enterprise application architecture and distributed systems
• Experience leading small engineering teams, mentoring developers, or owning technical delivery is preferred
• Understanding of AI safety, governance, and compliance best practices

Nice to Have

• Experience with LangChain, LlamaIndex, or similar frameworks
• Familiarity with RAG evaluation tools such as RAGAS or DeepEval
• Knowledge of Knowledge Graphs with RAG systems
• Experience working in multi-cloud environments (GCP + Azure)
• Exposure to BFSI or other regulated domains

What We’re Looking For

• Engineers who have built and deployed real-world GenAI systems at scale
• Strong backend engineering and systems-thinking mindset
• Ability to thrive in fast-paced enterprise environments
• Ownership mindset with strong communication and collaboration skills 

About the Role

We are looking for a passionate AI/ML Software Engineer to join our product team and help build intelligent, scalable, and production-ready machine learning solutions. You will work closely with product managers, designers, and backend engineers to integrate AI capabilities into core product features and drive data-driven innovation.

Key Responsibilities

• Design, develop, and deploy machine learning models into production environments
• Build and maintain scalable ML pipelines for data processing, training, and inference
• Collaborate with cross-functional teams to identify AI-driven product opportunities
• Translate business requirements into ML solutions and technical implementations
• Optimize model performance, accuracy, and latency for real-time applications
• Integrate AI/ML models with APIs and backend systems
• Monitor model performance and implement continuous improvement strategies
• Ensure best practices in data handling, model versioning, and reproducibility
• Stay updated with the latest advancements in AI/ML and apply them to product innovation

Required Skills & Qualifications

• Bachelor’s engineering degree in Computer Science, AI, Data Science, or related field
• Strong programming skills in Python (experience with Java/Go is a plus)
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Solid understanding of machine learning algorithms and statistical concepts
• Experience in building and deploying ML models in production
• Familiarity with REST APIs, microservices architecture, and cloud platforms (AWS/GCP/Azure)
• Experience with data processing tools (Pandas, NumPy, Spark, etc.)
• Knowledge of version control systems like Git 

Key Responsibilities

1. Kernel Lifecycle & Maintenance

Upstream Alignment: Lead the strategy for upgrading enterprise kernels (e.g., migrating from LTS 5.15 to 6.6) while maintaining binary compatibility where required.

Patch Porting: Expertly port functional and performance patches between disparate kernel versions, resolving complex code conflicts and API changes.

CVE Mitigation: Monitor the Linux Kernel Mailing List (LKML) and security advisories to identify and backport CVE patches from upstream to production environments.

2. Deep-Dive Debugging & Stability

Panic Analysis: Act as the final escalation point for Kernel Panics and "Oops" messages. Utilize kdump, crash, and gdb to perform post-mortem analysis of vmcores.

Boot-Time Resolution: Debug critical failures during the early boot process (UEFI handoff, initramfs, and early kernel init) where standard logging is unavailable.

Performance Tuning: Use ebpf, ftrace, and perf to identify bottlenecks in memory management, scheduler latency, or I/O throughput.

3. Driver Development & Hardware Integration

Driver Ownership: Design, develop, or maintain at least one Open Source or Proprietary Device Driver (Network, Storage, GPU, or Character devices).

Hardware Abstraction: Interface directly with hardware registers, managing DMA mappings, and optimizing interrupt handling (MSI-X, Threaded IRQs).

Out-of-Tree Management: Maintain driver compatibility across kernel updates using DKMS or similar frameworks.

4. Infrastructure & Automation

Registry Management: Oversee the distribution of custom kernel builds and modules via GitLab Container/Package Registries.

CI/CD for Kernel: Build automated testing pipelines (Hardware-in-the-loop) to validate kernel stability before enterprise-wide deployment.

Required Technical Skills:

Languages: Mastery of C/C++ Programming (C is preferred)

Kernel Internals: Deep understanding of VFS, Memory Management (MMU/Paging), Process Scheduling, and Networking Stacks.

Debugging Tools: Expert-level use of kprobes, trace-cmd, valgrind, and hardware-level debuggers (JTAG/Serial Console).

Build Systems: Proficiency with Kbuild, Makefiles, and building RPM/Debian packages for kernel distribution.

Security: Hands-on experience with SELinux/AppArmor policy development and kernel hardening (FIPS, KSPP).

About FoundingMinds:

We are one of the preferred product development partners in the software industry. We work with clients across the globe to design and develop products for them. We are also an incubator for many startups. As a contributor, you will get an opportunity to work with different ideas, brainstorm with diverse people, widen your way of thinking, learn different technologies, research what you have to do, contribute your best to the projects and take ownership of what you do to your project. If you are passionate, you will find endless opportunities to build your career at Founding Minds.

Type: Consultant to Hire

We’re looking for an experienced C++ Developer with strong expertise in system-level programming and hands-on experience working on the TSL (Transport Security Layer). If you’re passionate about C++, love solving performance and security challenges, and are curious about robotics, this role could be a perfect fit for you.

Type: Consultant to Hire

We’re looking for an experienced C++ Developer with strong expertise in system-level programming and hands-on experience working on the TSL (Transport Security Layer). If you’re passionate about C++, love solving performance and security challenges, and are curious about robotics, this role could be a perfect fit for you.

Responsibilities

• Design and develop high-performance C++ applications focused on security and scalability.
• Work on the TSL layer, implementing and maintaining secure communication protocols.
• Optimize code for performance, reliability, and maintainability.
• Collaborate with cross-functional teams to deliver robust software solutions.
• Participate in design discussions, code reviews, and technical documentation.

Requirements

• 6+ years of hands-on experience in C++ (C++11 or later).
• Strong understanding of object-oriented programming, multithreading, and memory management.
• Experience with TSL/SSL, encryption, and secure communication protocols.
• Familiarity with networking (TCP/IP, sockets programming).
• Strong debugging and performance optimization skills.
• Experience working in Linux environments with tools like gdb or valgrind.

Nice to Have

• Experience with OpenSSL or similar libraries.
• Interest in robotics or real-time systems — even if you haven’t worked in the field before.

If you’re someone who enjoys deep technical challenges and is open to exploring how your expertise can extend into robotics, we’d love to connect.

Job Description – Machine Learning Expert

Role: Machine Learning Expert

Experience: 6+ Years

Location: Bangalore

Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)

Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home

Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location

About the Role

We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning and deep learning models for real-world business use cases.
• Perform data cleaning, preprocessing, feature engineering, and model optimization.
• Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
• Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
• Deploy ML models to production environments and monitor performance for scalability and accuracy.
• Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
• 
  

Required Skills & Qualifications

• B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
• 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
• Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Solid foundation in mathematics, statistics, algorithms, and probability.
• Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
• Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
• Familiarity with MLOps tools and practices for lifecycle management.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
• 
  

Preferred Skills (Good to Have)

• Experience with Big Data frameworks (Hadoop, Spark).
• Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
• Contributions to open-source projects, publications, or patents in AI/ML.
• 
  

Work Mode & Interview Process

• Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
• Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

Own Android SDKs, working hand-in-hand with the founding team

Design and build delightful user interfaces for native apps on Android

You will be (co-) responsible for our software development kit (SDK) for Android

Building mobile apps in both Swift and Kotlin.

You work independently on your own code, but you also spend time collaborating with others.

You are involved in all stages of app development and contribute to the roadmap.

You get the freedom to experiment with new Android technology.

Ownership — advocate for projects and solutions that need to be launched ground up.

Experience

Min 2 to 4 years in developing Android applications in Java / Kotlin / C++ /Gradle/Groovy.

Worked on SDKs/Frameworks.

Strong understanding of software design patterns as well as Android specifics.

Experience with authenticated sessions using authentication tokens and have at-least

fundamental knowledge of app security.

Good to have:-

Experience with Cross-platform frameworks is a plus (React Native, Flutter, Cordova,

Xamarin).

Have implemented security standards and guides.

Experience building applications at scale.

Experience with third-party libraries and APIs like Mobile Vision, MLKit and/or

Camera API.

Good understanding of garbage collection, design patterns and continuously

discover, evaluate,and implement new technologies to maximize development efficiency.

Unit-test code for robustness, including edge cases, usability, and general

reliability