Edu Angels India Private Limited

Responsibilities:

• Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
• Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
• Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
• Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
• Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.

Requirements:

• 3+ years of hands-on experience in developing and managing machine learning or data platforms
• Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
• Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
• Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
• Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.

Responsibilities

• Work on execution and scheduling of all tasks related to assigned projects' deliverable dates
• Optimize and debug existing codes to make them scalable and improve performance
• Design, development, and delivery of tested code and machine learning models into production environments
• Work effectively in teams, managing and leading teams
• Provide effective, constructive feedback to the delivery leader
• Manage client expectations and work with an agile mindset with machine learning and AI technology
• Design and prototype data-driven solutions

Eligibility

• Highly experienced in designing, building, and shipping scalable and production-quality machine learning algorithms in the field of Python applications
• Working knowledge and experience in NLP core components (NER, Entity Disambiguation, etc.)
• In-depth expertise in Data Munging and Storage (Experienced in SQL, NoSQL, MongoDB, Graph Databases)
• Expertise in writing scalable APIs for machine learning models
• Experience with maintaining code logs, task schedulers, and security
• Working knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks, entropy models, supervised and unsupervised learning
• Experience with at least one of the following: Keras, Tensorflow, Caffe, or PyTorch

Responsibilities:

• Develop application functionality using various coding languages.
• Setting security measures against various types of cybercrimes.
• Maintain client and server-side applications.
• Train the fellow team members on blockchain technology.
• Attend meetings, brainstorm sessions, and daily standup for enhancing your knowledge of new technologies.
• Adhering to all the rules and regulations of data protection for digital payments.
• Staying updated with the latest crypto technologies for data protection.

Required Skills:

• 6+ years of exp in Designing, developing, and testing blockchain systems.
• Ability to write efficient and modular code.
• Good exp in preparing documentation on the blockchain development processes.
• Securing the blockchain network with new technologies.
• Utilize cryptography techniques to protect against hackers and other cyber attacks.

Responsibilities:

• Collaborate with R&D teams and incorporate blockchain into the development and design of solutions that employ cross-asset frameworks and concepts
• Leadership abilities in order to provide the team with the correct direction to ensure that the correct solution is implemented with tremendous success.
• Build performance indicators to assess the performance of the Blockchain.
• Preparation of a risk and failure analysis and risk prevention plan.
• Train and advise technical employees on Blockchain tools and frameworks, Blockchain principles, and so forth.

Required Skills:

• Worked on new technologies and develop performance standards for appraising any new solutions.
• Extensive knowledge of blockchain architectural concepts and the development of storage solutions.
• He shall have a solid understanding of Blockchain foundations, consensus algorithms, and smart contracts 
• Excellent knowledge of blockchain frameworks, for example, Hyperledger Fabric, R3 Corda, and Ethereum
• Good command over the several consensus algorithms used for the Bitcoin Blockchain, Ethereum, Byzantine fault-tolerant algorithms
• Strong understanding of cryptography, in order to provide greater security and immutability to the system

Responsibilities:

You will get a chance to create products from scratch. While you will get the advantage of the scale of the organization, you are expected to come up with creative solutions to challenging problems.

On a typical day, you'd work with highly skilled engineers to solve complex problems. This is an early-stage initiative. Your ability to translate business requirements, and develop and demonstrate quick prototypes or concepts with other technology teams will be of great value.

You will learn and work on a variety of languages such as C/C++, python, and Linux as well as work on BLE, MEMS, biometric sensors, and the latest wireless technologies.

Requirements:

6+ years of Embedded firmware development experience in C/C++

BLE/GPS/GSM/RTOS stack expertise

Hands-on experience with Lab equipment (VNA/RSA/MSO etc).

Testing environment setup using automation scripts and networking equipment, practices for the full software development life cycle, including coding standards, code reviews, source control management, continuous

Familiar with Wireless/IoT network protocols and standards.

Experience with microcontrollers, sensors, and serial communication.

Preferred experience with wearOS/TizenSuperior presentation and communication skills, both written and verbal

Bachelor/Masters's degree in electrical/electronic/communications engineering, information technology, physics, or a related field from

Tier 1 Tier 2 Engineering colleges only (IITs/NITs/IIITs/BITS etc. )

Result-oriented and ready to take ownership. Exhibit strong team

Responsibilities:

• Designing cloud infrastructure for scalability, performance, availability, and security.
• Involving in migrating existing applications and data to cloud platforms, designing the migration plan, assessing risks, and ensuring a smooth transition to the cloud.
• Designing and implementing security measures for cloud infrastructure.
• Optimizing cloud infrastructure costs by designing and identifying areas where costs can be reduced.

Eligibility:

• Experience in cloud computing concepts, architectures, and deployment models.
• Deep insights into AWS
• Programming languages experience, such as Java, Python, Ruby, and others.
• Proficient in designing and deploying cloud infrastructure, including computing, storage, networking, and security services.
• Involvement in cloud security principles and practices, including data protection, access control, network security, and compliance.

Responsibilities

• Manage the product development and R&D process, ensuring all stakeholder timelines and deliverables are met.
• Source vendors and negotiate for cost-effective purchases, while reducing delivery times.
• Achieve product assortment goals while ensuring product quality, testing standards, and margin expectations are met.
• Work closely with sales to understand customer directives, analyze sales data, and review new product forecasts.
• Use personas, stakeholder maps, customer journey maps, etc. to develop and refine new product concepts.

Requirements

• 10+ years of experience in product development, with a focus on sensors, IoT, and electronics.
• Comfortable with technical aspects of product development and communicating with engineering teams.
• Experience in dealing with the Chinese vendor ecosystem and exposure to China's ecosystem.
• Great negotiation skills and a mix of business acumen and product knowledge.

Responsibilities:

• Define the code review process for the team to follow and perform code reviews.
• Design, implement, and maintain Java-based applications that can be high-volume and low-latency.
• Ensure application designs conform with business goals.
• Develop and test software & Identify and resolve any technical issues arising.

Required Skills:

• 7+ years of experience developing web applications using J2EE / Java.
• Possess knowledge and skills in software programming in Core Java, J2EE, Microservices-related technologies, Spring Boot, Spring MVC, Rest API, JavaScript, and XML.
• Experience developing enterprise-level web applications and RESTful APIs using Microservices.
• Excellent in design patterns, data structures & algorithms, and OOAD.
• Experience in working with the E-Government Projects/ CCTNS application.

Responsibilities:

• Define the code review process for the team to follow and perform code reviews.
• Design, implement, and maintain Java-based applications that can be high-volume and low-latency.
• Ensure application designs conform with business goals.
• Develop and test software & Identify and resolve any technical issues arising.

Eligibility:

• 3+ yrs of experience developing web applications using J2EE / Java.
• Possess knowledge and skills in software programming in Core Java, J2EE, Microservices-related technologies, Spring Boot, Spring MVC, Rest API, JavaScript, and XML.
• Experience developing enterprise-level web applications and RESTful APIs using Microservices.
• Experience in API Management & in using version control and CI / CD tools.

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )