Job Description: 

Job Summary:

We are seeking a highly experienced Senior QA Engineer with 8–12 years of expertise in architecting and executing comprehensive quality assurance strategies for complex cloud-native, data-driven, and AI-powered applications. The candidate will be responsible for ensuring the reliability, accuracy, and performance of large-scale systems that integrate real-time data processing and intelligent model insights.

The ideal candidate must possess an understanding of cloud infrastructure, data integrity validation, and also the challenges of testing AI/ML models. Should be an expert in designing automated frameworks using modern tools like Playwright or Cypress to validate high-bandwidth data flows and complex web/mobile interfaces.

Key Responsibilities:

• Design and lead a comprehensive QA roadmap that covers data pipelines, AI model integration, and cloud-native backend services.
• AI & Model Validation: Establish testing protocols to validate AI/ML model outputs, focusing on accuracy, performance benchmarking, and bias detection.
• Build and maintain scalable, “Shift-Left” automation frameworks using Playwright or Cypress to accelerate the CI/CD pipeline and ensure UI/UX consistency across platforms.
• Ensure the reliability of high-volume data flows by validating ingestion, processing, and storage across cloud-based data warehouses and real-time streams.
• Architect and execute load and stress testing to ensure the platform handles high concurrency and data-intensive workloads without degradation.
• Implement security testing standards to protect sensitive data and ensure all cloud communications meet industry encryption and authorization protocols.
• Root Cause Analysis: Utilize cloud monitoring and logging tools (such as Azure Monitor or Log Analytics) to identify and resolve complex system bottlenecks.
• Cross-Functional Collaboration: Partner with Data Scientists, Developers, and Product teams to define quality gates and ensure features are built for maximum testability.
• Define best practices for testing methodologies and mentor junior QA engineers in modern automation and data testing patterns.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8–12 years of professional experience in software quality assurance, focusing on cloud and data-driven systems.
• Drive the technical roadmap for quality by implementing testing layers (Unit, Integration, and System) that ensure the entire ecosystem remains modular and scalable
• Strong hands-on experience with modern E2E testing frameworks such as Playwright or Cypress, and the ability to integrate them into automated CI/CD workflows.
• Understanding of testing AI-powered systems, including knowledge of model drift, evaluation metrics (precision/recall), and non-deterministic testing.
• Hands-on experience with Microsoft Azure services to begin with and knowledge of other cloud providers (AWS/GCP) is a significant plus.
• Strong proficiency in JavaScript/TypeScript (essential for Playwright/Cypress), Python, or Java for developing custom automation tools.
• Expert knowledge of SQL and NoSQL databases, with the ability to write complex queries to validate data integrity across distributed systems.
• Proven ability to oversee the full Software Development Lifecycle, from initial requirement analysis to production release and post-launch monitoring.

Good To Have:

• Familiarity with Generative AI (GenAI) testing and LLM evaluation techniques.
• Microsoft Certified: Azure AI Engineer Associate or Azure Data Engineer Associate.
• Experience with performance testing tools like JMeter, Gatling, or Locust.

Job Description: 

Job Summary:

We are seeking a highly skilled Senior Mobile App Developer with 6–10 years of experience in

building scalable, high-performance mobile applications, particularly video-heavy and real-time streaming platforms. The candidate will play a critical role in architecting and developing an application with a long-term vision of integrating gaming capabilities.

The candidate should have strong expertise in mobile architecture and system design, live video streaming, client-side processing, and secure application development. Experience working with the Microsoft Azure tech stack is essential. The candidate must be capable of designing solutions that are scalable, secure, and optimized for performance across devices.

Key Responsibilities:

Design and architect a scalable, secure, and high-performance mobile application for a video-heavy platform.

• Lead the implementation of live and on-demand video streaming features ensuring low latency and seamless user experience.
• Build solutions that support future extensibility, involving any interactive capabilities.
• Optimize client-side performance including video rendering, buffering strategies, memory management, and device-level processing.
• Define and implement secure authentication, authorization, and data protection mechanisms.
• Integrate mobile applications with cloud-based backend services and ensure efficient API communication.
• Ensure application scalability to handle high concurrent users and streaming workloads.
• Collaborate with cross-functional teams including backend engineers, DevOps, product, and UI/UX teams. Establish best practices for code quality, architecture standards, testing, and CI/CD processes.
• Contribute to technical decision-making and mentor junior developers where required.

Required Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• 6–10 years of experience in mobile application development.
• Drive the end-to-end technical roadmap for cross-platform applications by implementing Clean Architecture (Domain, Data, and Presentation layers), ensuring the codebase remains modular, testable, and scalable for long-term enterprise growth.
• Manage app data and logic using BLoC or GetX based on project needs, ensuring complex features are stable while keeping navigation and setup fast and efficient
• Strong experience building video-heavy or streaming-based mobile applications.
• Hands-on experience with live streaming technologies such as WebRTC, RTMP, HLS, MPEG-DASH or similar protocols.

Strong proficiency in:

• Swift (iOS) and/or Kotlin (Android)
• Cross-platform frameworks such as Flutter or React Native
• Experience of integrating with Microsoft Azure services to begin with, knowledge on other cloud service providers is a plus.
• Oversee the full Software Development Lifecycle (SDLC) from initial system design to App Store/Play Store deployment

Good to Have:

• Familiarity with Gen AI concepts
• Google Associate Android Developer (AAD)
• Microsoft Certified: Azure Developer Associate

Job Description: 

Key Responsibilities:

• Experience working with MCU’s or GPU’s
• Strong understanding on various hardware peripheral protocols (Ethernet, I2C, SPI, Ethernet, UART, MIPI-CSI2)
• Experience working with media frameworks like GStreamer and familiarity with OpenCV
• Strong expertise in Embedded C or C++, Python/scripting and low-level firmware working with various processors.
• Experience working with various Edge containerization platforms (Dockers, Kubernetes, etc.) Solid understanding of IPC mechanisms (shared memory, sockets, message queues, etc.).
• Comfortable with cross-compilation,
• Write unit + integration tests and support automation in CI/CD (GitLab CI preferred).
• Collaborate with backend/UI and test teams to deliver end-to-end features and APIs.
• Profile and optimize CPU/memory/latency for constrained embedded environments.
• Contribute to LLDs, sequence diagrams, and interface specifications (Git-based workflows).

Job Description: 

Key Responsibilities:

• Test case design, execution, regression, and test reporting for sprint releases.
• Perform Black-box testing (requirements-driven) and Grey-box testing (using logs, configs, service behaviors).
• Basic to Intermediate Linux platform knowledge: SSH, basic shell commands, process/service checks, systemd/journald logs, network sanity checks. – Must
• Test distributed/event-driven workflows end-to-end (service-to-service interactions, async updates, reliability behaviors).
• API testing using Swagger/curl/Postman; validate JSON schemas, error handling, boundary/negative cases.
• UI workflow testing on Web app; cross-browser sanity checks and basic usability validation.
• Bug Life cycle, BDD Testing, TDD.
• Working knowledge of Python basics for test utilities (log parsing, data generation, quick sanity scripts).
• Strong defect reporting with evidence (steps, logs, screenshots, payloads) and effective triage communication.
• Use Jira for defect tracking, test execution status, and sprint reporting.
• Comfortable with GitHub/GitLab workflows: cloning, branching basics, reviewing changes, pulling logs/configs from repos.
• Good documentation habits: maintain test cases, checklists, release notes, and traceability where needed.
• Prior experience with embedded Linux, MQTT, or industrial/safety-critical systems, Selenium basics (for smoke/regression automation support; primary role remains manual) is a plus.

Job Description: 

We are looking for a talented Senior Generative AI Developer to join our dynamic AI/ML team. This position offers an exciting opportunity to leverage cutting-edge Generative AI (GenAI) technologies to drive innovation to solve real world problems. You will be responsible for developing and optimizing GenAI-based applications, implementing advanced techniques like Retrieval-Augmented Generation (RAG), RIG (Retrieval Interleaved Generation), Agentic Frameworks and vector databases. This is a collaborative role where you will work directly with customer’s cross-functional teams to design, implement, and optimize AI-driven solutions. Exposure to cloud-native AI platforms such as Amazon Bedrock and Microsoft Azure OpenAI is highly desirable.

Key Responsibilities

• Generative AI Application Development:
• Design, develop, and deploy GenAI-driven applications to address complex industrial challenges.
• Implement Retrieval-Augmented Generation (RAG) and Agentic frameworks

Data Management & Optimization:

• Design and optimize document chunking strategies tailored to specific datasets and use cases.
• Build, manage, and optimize data embeddings for high-performance similarity searches across vector databases.

Collaboration & Integration:

• Work closely with data engineers and scientists to integrate AI solutions into existing pipelines.
• Collaborate with cross-functional teams to ensure seamless AI implementation.

Cloud & AI Platform Utilization:

• Explore and implement best practices for utilizing cloud-native AI platforms, such as Amazon Bedrock and Azure OpenAI, to enhance solution delivery.
• Continuous Learning & Innovation:
• Stay updated with the latest trends and emerging technologies in the GenAI and AI/ML fields, ensuring our solutions remain cutting-edge.

About the Candidate

The ideal candidate will have strong experience in Generative AI technologies, particularly in the areas of RAG, document chunking, and vector database management. They will be able to quickly adapt to evolving AI frameworks and leverage cloud-native platforms to create efficient, scalable solutions. You will be working in a fast-paced and collaborative environment, where innovation and the ability to learn and grow are key to success.

• 5 to 8 years of overall experience in software development, with at least 4 to 6 years focused on AI/ML.
• Minimum 2 to 3 years of experience specifically working with Generative AI (GenAI) technologies.
• Python, PySpark and SQL knowledge is necessary for tasks
• Proven ability to work in a collaborative, fast-paced, and innovative environment.

Technical Skills:

• Generative AI Frameworks & Technologies:
• Expertise in Generative AI frameworks, including prompt engineering, fine-tuning, and few-shot learning.
• Familiarity with frameworks such as T5 (Text-to-Text  Transfer Transformation), LangChain, Lang Graph, Open-source tech stalk Ollama, Mixtral, DeepSeek.
• Strong knowledge of Retrieval-Augmented Generation (RAG) for combining LLMs with external data retrieval systems.

Data Management:  

• Experience in designing chunking strategies for different datasets.
• Expertise in data embedding techniques and experience with vector databases like Pinecone, ChromaDB etc
• Programming & AI/ML Libraries:
• Strong programming skills in Python.
• Experience with AI/ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.

Cloud Platforms & Integration:  

• Familiarity with cloud services for AI/ML workloads (AWS, Azure).
• Experience with API integration for AI services and building scalable applications.
• Certifications (Optional but Desirable):
• Certification in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning – Specialty).
• Certification or coursework in Generative AI or related technologies.

Job Description: 

• Experience working with AI capable MCU’s or GPU’s
• Knowledge on AI/ML edge inference for vision systems
• Deploying ML/DL models on embedded device and guiding team on optimizing AI workloads.
• Hands-on experience working with camera subsystems and with FPGA based image processing
• Strong understanding on various hardware peripheral protocols (Ethernet, I2C, SPI, Ethernet, UART, MIPI-CSI2)
• Deploying ML/DL models on embedded device and guiding team on optimizing AI workloads.
• Hands-on experience working with camera subsystems and with FPGA based image processing
• Experience working with media frameworks like GStreamer and familiarity with OpenCV
• Strong expertise in Embedded C or C++, Python/scripting and low-level firmware working with various processors.
• Experience working with various Edge containerization platforms (Dockers, Kubernetes, etc.)

Send resume: Creative Synergies Group, L.L.C., 2111 University Park Drive, Suite 600, Okemos, MI 48864

Job Description

The role will primarily focus on selling to:

• Automotive System Integrators
• Control & Automation Integrators in Process Industries
• End-user Companies in Process Industries (Oil & Gas, Chemicals, Power, Water, Nuclear, FMCG)
• Special Purpose Machine (SPM) Manufacturers and OEMs in Automotive and Industrial sectors

Services & Solutions Scope

Selling end-to-end services including:

• Control & Automation Engineering
• Electrical, Instrumentation & Controls
• PLC, SCADA, DCS, HMI
• Robotics & Industrial Automation
• Special Purpose Machines (SPM)
• Industry 4.0, IoT & Digital Manufacturing

Responsibilities:

• Develop / Implement strategic and operational sales plan
• Primary focus on new logo hunting
  • Create pipeline of high-value accounts
  • Focus will be on new customer acquisition and winning long-term strategic customers
• Lead and coordinate with technical teams to ensure client satisfaction
• Drive focused campaigns

Required Skills:

• Thorough understanding of dual shore business model and related win themes and value propositions
• Candidate will be responsible for prospecting, qualifying, and generating new sales In order to be successful in this role and meet or exceed targets, this candidate should feel comfortable communicating with prospects in the US via phone, email and MS Teams
• Must have experience in acquiring new blue-chip customers
• Proven track record in winning long-term strategic deals
• High-Energy and passion for success

• 12-20 Years total Experience
• 5+ Years US Sales experience (Must Have)
• Years’ experience working and/or studying in US (strongly preferred)

Job Description

• Responsible for selling one or more of the following End-to-End Data/AI/ML/Analytics and Digital Product Engineering Services for the S. Market. Prospects and customers would belong to one or more of the following verticals: Transportation and Logistics, Oil and Gas, Industrial, Manufacturing, Hi-Tech, EdTech
• Responsible to grow the Data/AI/ML/Digital footprint within the Transportation and Logistics, Oil and Gas, Industrial, HiTech, EdTech verticals.
• Services Portfolio will include:
• Data/AI/ML/Analytics: Cloud and Data Infrastructure, Master Data Management, Data Governance, DataBricks and SnowFlake Implementation, FinOps, DataOps, MLOps, LLMOps, GenAI Solutions Engineering, Data Security and Implementation, Enterprise Business and Digital Platform
• Digital Product and Platform Engineering: Cloud Services / Solutions, Application Development, Full Stack Development, DevOps, Mobile Apps Development, Analytics, Testing, Automation Services
• End-to-End Sales Hunting Leadership and account management
• Work with 3+ Inside Sales Executives (i.e., Lead Generators) based in Bengaluru
• Develop / Implement strategic and operational sales plan
• Focus on new logo hunting
  • Create pipeline of high-value accounts
  • Focus will be on new customer acquisition and winning long-term strategic customers
  • Build, sustain and maintain long term relationship with key and strategic customers
• Attend US Conferences and Trade Shows for In-Person Lead Generation
• Lead and coordinate with technical teams to ensure client satisfaction
• Drive focused campaigns

Experience:

• Vertical Experience (Nice to Have): Experience in one or more of the following verticals: Transportation, Industrial, Manufacturing, Hi-Tech, and Oil & Gas, EdTech
• Hunting (Must Have): Strong hunting experience and mindset

Required Skills:

• Demonstrated ability to close deals and manage junior salespeople
• Price and contract negotiation and closure
• Attending and prospecting in trade shows and other networking events, whenever necessary
• Capability to have a CXO and Digital leadership level
• Capability to have high impact conversation and give suggestions on outsourcing process to the customer
• Capability to set buying criteria and develop coaches in large deals
• Should be comfortable focusing on hunting
• Should have experience of remotely managing teams by driving, motivating and mentoring them
• Thorough understanding of dual shore business model and related win themes and value propositions
• Must have hunting experience in acquiring new blue-chip customers
• Very comfortable communicating / selling to customers in US
• Proven track record in winning long-term strategic deals
• High-energy and passion for success
• Strong emotional EQ and emotional resiliency
• Pleasant / likable personality

Job Description

The role will primarily focus on selling to:

• Large and Mid Size EPCs
• End-user Companies in Process Industries (Oil & Gas, Chemicals, Power, Water, Nuclear, FMCG)
• Integrators in Process Industries

Services & Solutions Scope

Selling end-to-end Plant Engineering services including:

• Process, Mechanical, Civil/Structural, Piping
• Electrical & Instrumentation
• Controls & Automation Engineering
• PLC, SCADA, DCS, HMI
• Industry 4.0, IoT & Digital Manufacturing

Responsibilities:

• Develop / Implement strategic and operational sales plan
• Primary focus on new logo hunting
  • Create pipeline of high-value accounts
  • Focus will be on new customer acquisition and winning long-term strategic customers
• Lead and coordinate with technical teams to ensure client satisfaction
• Drive focused campaigns

Required Skill:

• Thorough understanding of dual shore business model and related win themes and value propositions
• Candidate will be responsible for prospecting, qualifying, and generating new sales In order to be successful in this role and meet or exceed targets, this candidate should feel comfortable communicating with prospects in the US via phone, email and MS Teams
• Must have experience in acquiring new blue-chip customers
• Proven track record in winning long-term strategic deals
• High-Energy and passion for success
• Excellent Verbal, Written and Presentation skills