Image Processing Engineer

Pls Contact to sairam.akirala

@

kiaraglobalservices.com

798

981 217 8

Skills and attributes for success

To qualify for the role, you must have

• Experience of minimum 2 years, CTC – 18LPA
• Ability to develop Deep Learning frameworks to solve problems.
• Design and create platforms for image processing and visualization.
• Knowledge of computer vision libraries.
• Understanding of dataflow programming.
• B.E. (E&TC /Computer / IT / Mechanical / Electronics)
• C++, video analytics, CUDA, Deepstream

The opportunity

We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives.

Some of your responsibilities will include:

• Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems.
• Take ownership to drive computer vision solutions and meet customer requirements.
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future.
• Developing data handling and machine learning pipelines for training
• In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection
• Implementing algorithms in robust, efficient, and well-tested code.

Responsibilities

• Design and build highly reliable, scalable and performant infrastructure for media heavy workflows.
• Own large technical deliverables and execute in a structured manner.
• Take the accountability of the overall health of the infrastructure you build.
• Platformize components as libraries, utilities and promote reuse.
• Be able to conceptualize and develop prototypes quickly.
• Lead by example, mentor and guide team members on everything from structured problem solving to development of best practices.

Requirements

• 4 to 10 years of industry experience in software engineering with at least 4 years in Video, Audio & Image processing and streaming technologies.
• Deep expertise with various codecs, compute efficiency, streaming protocols and network topologies for media heavy workflows.
• Deep understanding of your tools: Languages, frameworks, libraries and systems.
• Experience with abstracting requirements into frameworks.
• Hungry to learn, share knowledge, and enjoy mentoring others.
• Data driven, having customer empathy, striving to build best of class, performant services.

In this role, you will be responsible for building world-class technology products and platforms that are at the forefront of the technology revolution in the Indian healthcare ecosystem. You are someone who insists on the highest standards for quality, maintainability, and performance.

Responsibilities :

- Develop server side applications in C++

- Contribute in analysis based on requirements. Analysis can be in the form of research and producing Proof of Concepts.

- Produce documents and specifications wherever required.

- Work collaboratively with other developers and QA engineers to deliver the solutions.

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

WHAT YOU’LL DO:

• Developing system components throughout all phases of the product lifecycle·        
• Own, improve, maintain, and enhance the code of a desktop client application with a native look and feel for Windows, one of the primary access points for users to Egnyte’s cloud-based connect solution
• Influence architecture, features, and implementation of our product·    
• Collaborate with other developers, product owners, and QA in bringing releases in a SaaS delivery model

YOUR QUALIFICATIONS:

• Leading a team of developers and QA (team size: 4+) with a full focus on productivity and business delivery
• Taking full responsibility for the new code from the design phase to running it in production (high-scale usage)
• Strong C++ programming (C++14 standard) and debugging skills and design patterns knowledge
• Experience with STL, boost, or WIN32 API·      
• Experience in the development of multi-threaded and multi-process applications·        
• Practice in unit tests development and continuous integration and hands-on experience with REST APIs and Git

Skills:

Full Stack Developer

Developed Gaming Application

Developed 3D Gaming Application

Basic knowledge of C, C++, MySQL, Mongo db

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

You have experience in tackling organization wide challenges which are complex initiative that span multiple teams and products. Strong bias for operational and engineering excellence. critical that your voice is heard in product and business decisions. You like to find patterns that can reuse across multiple stacks, and willingness to help organisations adopt newer technologies. You are a great communicator and you take care setting high benchmarks in technical design choices. You spend a lot of time on research and love to discuss pros/cons of all choices and helping others towards making careful decisions.

Responsibilities:

• You will participate in all aspects of our development and provide expertise on architecture decisions we'll need to make to solve organisational problems.
• Driving technical roadmaps for the organisation.
• Set the north star for all key technical metrics to monitor and set high standards.
• Identify and articulate current state architecture and clarity on final state architecture and build organisation level influence to drive this to conclusion.
• Coaching / mentoring folks across the organisation on various technologies.
• Improve the recruiting and hiring process.
• Thinks about culture and how to impact it.
• Build, develop and scale our platform that powers real estate agents, buyers and sellers.
• Become a domain expert on real estate technology and products and an empathetic partner to our customers.
• Inspire, recruit and mentor your engineering colleagues.
• Operate in a scalable engineering culture that leverages modern principles of decoupled systems and automated CI/CD/testing/monitoring to drive. efficiencies.

Requirements:

• BS in CS or EE or equivalent.
• Proven track record working in top talent and high performance environments.
• Experience working on large scale systems in rapid growth environments.
• Experience with modern web frameworks (e. g. Go/React), distributed computing (e. g. Spark), public cloud platforms (e. g. AWS) and data pipelines
• Familiarity with containerisation, microservices architecture, continuous integration and delivery.
• Experience with multiple well-known products throughout their life cycles, from idea conception to product release and maintenance.
• 10+ years experience.

• Published Engineering blogs.
• Experience with multiple well-known products throughout their life cycles, from idea conception to product release and maintenance.
• External presentations in events.