Zealogics Inc

Mechanical Engineer

• Strong experience with Xpedition tool and Allegro, Altium CAD tools
• Proficient in Teamcenter PLM system
• Solid understanding of PCB layout design fundamentals and manufacturing feasibility
• Good knowledge of BoM creation and maintenance
• Teamwork and Co-ordination
• Independently work directly with clients
• Collaborate with hardware and mechanical teams to support end-to-end project execution
• Hands-on experience in high-speed multi-layer PCB layout
• Strong knowledge of HDI PCB layouts
• Good knowledge of signal integrity, thermal management, and EMI/EMC concepts
• PCB Footprint creation and validation as per IPC Standards
• Good understanding of PCB Manufacturing processes, technology and Surface Mount assembly process
• Highly self-motivated, with the ability to work independently and with minimal supervision
• Strong time-management skills, ensuring tasks are completed on schedule

Electrical Design Engineer

• Design and develop mechanical and electro-mechanical components and assemblies using NX and SolidWorks.
• Manage end-to-end design lifecycle including modelling, drafting, detailing, and revision control.
• Perform cable/harness routing and integration in 3D environments.
• Work in collaboration with cross-functional teams to support product development.
• Manage product structure and BoMs in Teamcenter.
• Support and participate in CR/ECN processes.
• Conduct tolerance analysis, GD&T, and design validation reviews.
• Participate in FMEA and other risk assessment/mitigation activities.
• Document procedures and design reports as needed.

Mechanical Design Engineer

• Develop communication module
• Develop data stream transmission through JESD204B
• Develop test pattern for SW verification
• Develop DWG function
• Design, develop, and maintain digital logic verification testbenches
• Create and review test plan documents
• Contribute to requirements specifications
• Participate in module- and system-level design reviews

Senior FPGA Design Engineer

Platform Engineer

• Work on automation and infrastructure development
• Collaborate with teams to improve platform functionality
• Utilize Python, Terraform, GitHub Actions, and other specified tools in projects

Docs-Platform Developer

Full-stack Engineer

• Design, develop, and maintain scalable full-stack applications using modern frameworks (React, Node.js, Python).
• Develop AI-driven microservices that interact with multiple data sources and APIs (RAG/KAG, Azure OpenAI, etc.).
• Implement multi-tenant architectures, role-based access, and data visualization dashboards.
• Collaborate with AI engineers to build intelligent workflows that use embeddings, vector stores, and adaptive reasoning chains.
• Optimize front-end performance and ensure responsive design using modern UI frameworks.
• Manage deployment pipelines using Docker, Kubernetes, and Azure DevOps.
• Write clean, testable, and maintainable code aligned with coding best practices.

AI FullStack Developer

Backend Engineer

• Acquire deep knowledge of application development frameworks developed by the team to handle support requests without any guidance.
• Be responsible for timely and quality delivery of assigned job spanning multiple tiers/modules without any oversight.
• Tactically execute a well-defined, but complex problem by subdividing it into multiple simple tasks.
• Implement code with the most efficient algorithms and data structures.
• Realize resilient and high-performing software components by utilizing concurrency.
• Help team to create training material and design documents, when needed.
• Be a great team player.
• Frequently Interact with external support teams to resolve technical hurdles.
• Share knowledge and opinions with the rest of the group about your area of expertise by means of creative diagram/presentation.
• Fully understand the significance of established processes and follow them faithfully.

Senior Java Backend Developer

Data Scientist

• Design and implement ML/AI models for regression, classification, NLP, time series, and clustering with large datasets.
• Develop and deploy Generative AI and LLM-based solutions (OpenAI, Azure OpenAI, Hugging Face, LangChain, RAG).
• Design and develop scalable Agents by keeping performance, cost and reusability aspects.
• Perform data purification, feature engineering and correlation analysis (Pearson, Spearman, Chi-Square).
• Deal with extremely large or complex dataset ingestion in system via mongodb, clickhouse, datalake etc.
• Define quick correlations on structured and unstructured databases.
• Work with SQL/NoSQL/Vector databases for AI data management.
• Apply MLOps practices for model versioning, automation, and monitoring.
• Collaborate with engineers and product teams to integrate AI into business applications.
• Stay current with emerging AI technologies and ensure continuous optimization of deployed models.
• Familiarity with external tools like cursor, mermaid, lucid, figma, bolt, windsurf, draw.io etc.
• Create RESTful APIs and AI microservices using FastAPI/Flask/Django, deploy on Docker/Kubernetes.

AI Engineer, Data Science – Research

Senior Java Developer

Software Engineer

• Implement and manage SharePoint site and group site permissions
• Maintain and support all of SharePoint, OneDrive and Office 365
• Develop applications and system tools to manage infrastructure systems
• Collaborate with end-users and business owners for site updates
• Conduct training sessions on SharePoint features

SharePoint Developer

• Design, develop, and maintain scalable full-stack applications using modern frameworks (React, Node.js, .NET, or Python).
• Integrate Semantic Kernel to orchestrate AI agent workflows and prompt-based task automation.
• Develop AI-driven microservices that interact with multiple data sources and APIs (RAG/KAG, Azure OpenAI, etc.).
• Implement multi-tenant architectures, role-based access, and data visualization dashboards.
• Collaborate with AI engineers to build intelligent workflows that use embeddings, vector stores, and adaptive reasoning chains.
• Optimize front-end performance and ensure responsive design using modern UI frameworks.
• Manage deployment pipelines using Docker, Kubernetes, and Azure DevOps.
• Write clean, testable, and maintainable code aligned with coding best practices.

Senior AI Full Stack Developer

Database Administrator

• Share Multiple directory servers on hardware AND within AWS configured for replication, data sync, etc.
• Connect/tune logging for various components
• Import data from flat file
• Connect directory service to multiple upstream/downstream systems for data push/pull
• LDAP knowledge preferred
• Work with zookeeper and cluster configuration tuning for performance testing

• Design, develop, and maintain web applications using the .NET framework, Angular and SQL database on Azure cloud.
• Collaborate with cross-functional teams to gather and analyze requirements and translate them into technical specifications.
• Write clean, scalable, and efficient code following best practices and coding standards.
• Perform code reviews and provide constructive feedback to junior developers.
• Troubleshoot and debug issues in existing applications and propose effective solutions.
• Optimize application performance and ensure scalability.
• Stay up to date with the latest industry trends and technologies, and propose innovative ideas to improve the development process.

Full Stack .NET Developer

Security Engineer

• Responsible for understanding, researching, designing, and developing security solutions, technical and reference architectures, and supporting security strategies tailored to Client's business needs, with a focus towards Cloud Central services and Microsoft’s Office365
• Develop and contribute to Service deliverables with a security focus on IaaS, PaaS, and SaaS services, emphasizing Microsoft technologies (Azure and 0365)
• Partner with Global Application/Product/Solution owners and project teams to deliver reliable and scalable security capabilities and strategies
• Optimize confidentiality, integrity, availability, functionality, performance, and financial costs
• Support ongoing business stakeholder dialog of security strategies, priorities and governance
• Align and translate business requirements into secure solutions, designs and reference architectures for applications and products that can be leveraged by all professionals across Client's member firms
• Perform as a subject matter professional on cloud technologies (and cloud technology security) with responsibilities to facilitate knowledge transfer within the greater Cloud Central groups: ITS Global, IPG and member firms
• Participate and act as a promoter and Guardian of Global Standards and standard infrastructure services and solutions, while supporting audit processes for security and compliance strategies
• Support Microsoft Azure and Office 365 security and related architecture tasks

Security Architect

Machine Learning Engineer

• Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries
• Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments
• Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner
• Utilize your expertise in IoT-IIoT/ERP/CRM systems to integrate data sources and ensure seamless operation of AI solutions
• Design and develop machine learning models using Python, with proficiency in Computer Vision techniques like OpenCV
• Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems
• Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets
• Experience optimizing model hyperparameter tuning for speed and cost
• Containerize and deploy models using Docker and cloud platforms (Azure/AWS/GCP)

AI/ML Engineer

• Oversee daily activities of .NET full stack developers, Azure automation engineers, data engineers, and AI developers
• Ensure alignment with project goals, deliverables, and timelines
• Provide guidance and mentorship to team members
• Track and document team performance and progress on assigned tasks
• Prepare and present detailed weekly work activity reports for management and stakeholders
• Serve as the primary point of contact for clients
• Conduct regular status meetings, gather feedback, and ensure client satisfaction
• Address client queries and concerns effectively and in a timely manner
• Actively participate in designing, developing, and implementing .NET and AI-based solutions as needed
• Quickly ramp up on new customer initiatives and provide hands-on support
• Drive innovation and ensure the team leverages the latest tools and technologies
• Collaborate with stakeholders to define project requirements and deliverables
• Ensure efficient coordination among team members to meet project deadlines
• Identify potential risks and implement mitigation strategies