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As a Solution Architect, you will collaborate with our sales, presales and COE teams to provide technical expertise and support throughout the new business acquisition process. You will play a crucial role in understanding customer requirements, presenting our solutions, and demonstrating the value of our products.
You thrive in high-pressure environments, maintaining a positive outlook and understanding that career growth is a journey that requires making strategic choices. You possess good communication skills, both written and verbal, enabling you to convey complex technical concepts clearly and effectively. You are a team player, customer-focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You must have experience in managing and handling RFPs/ RFIs, client demos and presentations, and converting opportunities into winning bids. You possess a strong work ethic, positive attitude, and enthusiasm to embrace new challenges. You can multi-task and prioritize (good time management skills), willing to display and learn. You should be able to work independently with less or no supervision. You should be process-oriented, have a methodical approach and demonstrate a quality-first approach.
Ability to convert client’s business challenges/ priorities into winning proposal/ bid through excellence in technical solution will be the key performance indicator for this role.
What you’ll do
- Architecture & Design: Develop high-level architecture designs for scalable, secure, and robust solutions.
- Technology Evaluation: Select appropriate technologies, frameworks, and platforms for business needs.
- Cloud & Infrastructure: Design cloud-native, hybrid, or on-premises solutions using AWS, Azure, or GCP.
- Integration: Ensure seamless integration between various enterprise applications, APIs, and third-party services.
- Design and develop scalable, secure, and performant data architectures on Microsoft Azure and/or new generation analytics platform like MS Fabric.
- Translate business needs into technical solutions by designing secure, scalable, and performant data architectures on cloud platforms.
- Select and recommend appropriate Data services (e.g. Fabric, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Power BI etc) to meet specific data storage, processing, and analytics needs.
- Develop and recommend data models that optimize data access and querying. Design and implement data pipelines for efficient data extraction, transformation, and loading (ETL/ELT) processes.
- Ability to understand Conceptual/Logical/Physical Data Modelling.
- Choose and implement appropriate data storage, processing, and analytics services based on specific data needs (e.g., data lakes, data warehouses, data pipelines).
- Understand and recommend data governance practices, including data lineage tracking, access control, and data quality monitoring.
What you will Bring
- 10+ years of working in data analytics and AI technologies from consulting, implementation and design perspectives
- Certifications in data engineering, analytics, cloud, AI will be a certain advantage
- Bachelor’s in engineering/ technology or an MCA from a reputed college is a must
- Prior experience of working as a solution architect during presales cycle will be an advantage
Soft Skills
- Communication Skills
- Presentation Skills
- Flexible and Hard-working
Technical Skills
- Knowledge of Presales Processes
- Basic understanding of business analytics and AI
- High IQ and EQ
Why join us?
- Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
- Gain hands-on experience in content marketing with exposure to real-world projects.
- Opportunity to learn from experienced professionals and enhance your marketing skills.
- Contribute to exciting initiatives and make an impact from day one.
- Competitive stipend and potential for growth within the company.
- Recognized for excellence in data and AI solutions with industry awards and accolades.
Job Title : Power Automate Developer
Experience Level : 4 to 10 Years
Location : PAN India
Work Mode : Hybrid
Notice Period : Immediate Joiners Only
Job Summary:
Capgemini is looking for experienced Power Automate Developers with a strong background in automating business processes using Microsoft Power Platform tools.
Candidates must have hands-on experience and relevant certifications (PL-500 or PL-900).
Mandatory Skills : 4+ Years of hands-on experience with Power Automate, PL-500/PL-900 certification, workflow automation, system integration, and low-code/no-code development.
Key Responsibilities :
- Develop, implement, and support Power Automate workflows to streamline business processes.
- Integrate Power Automate with Microsoft 365, Dynamics 365, SharePoint, and other third-party services.
- Collaborate with business analysts and stakeholders to understand requirements and translate them into scalable automation solutions.
- Troubleshoot and optimize existing workflows to enhance performance and reliability.
- Ensure solutions comply with best practices, security policies, and performance standards.
Mandatory Skills :
- 4+ Years of hands-on experience with Power Automate.
- Certification : PL-500 or PL-900 (must have)

We’re looking for a skilled Senior Machine Learning Engineer to help us transform the Insurtech space. You’ll build intelligent agents and models that read, reason, and act.
Insurance ops are broken. Underwriters drown in PDFs. Risk clearance is chaos. Emails go in circles. We’ve lived it – and we’re fixing it. Bound AI is building agentic AI workflows that go beyond chat. We orchestrate intelligent agents to handle policy operations end-to-end:
• Risk clearance.
• SOV ingestion.
• Loss run summarization.
• Policy issuance.
• Risk triage.
No hallucinations. No handwaving. Just real-world AI that executes – in production, at scale.
Join us to help shape the future of insurance through advanced technology!
We’re Looking For:
- Deep experience in GenAI, LLM fine-tuning, and multi-agent orchestration (LangChain, DSPy, or similar).
- 5+ years of proven experience in the field
- Strong ML/AI engineering background in both foundational modeling (NLP, transformers, RAG) and traditional ML.
- Solid Python engineering chops – you write production-ready code, not just notebooks.
- A startup mindset – curiosity, speed, and obsession with shipping things that matter.
- Bonus – Experience with insurance or document intelligence (SOVs, Loss Runs, ACORDs).
What You’ll Be Doing:
- Develop foundation-model-based pipelines to read and understand insurance documents.
- Develop GenAI agents that handle real-time decision-making and workflow orchestration, and modular, composable agent architectures that interact with humans, APIs, and other agents.
- Work on auto-adaptive workflows that optimize around data quality, context, and risk signals.

Job Description:
As a Machine Learning Engineer, you will:
- Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
- Work closely with data scientists to optimize machine learning model performance.
- Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
- Collaborate with cross-functional teams to integrate AI models into products and services.
Responsibilities:
- Develop and deploy scalable machine learning models into production environments.
- Optimize models for performance and scalability.
- Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
- Monitor and maintain model performance in production.
Key Performance Indicators (KPI) For Role:
- Success in deploying scalable and efficient AI models into production.
- Improvement in model performance and scalability post-deployment.
- Efficiency in model deployment and maintenance processes.
- Positive feedback from team members and stakeholders on AI model integration and performance.
- Adherence to best practices in machine learning engineering and deployment.
Prior Experience Required:
- 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
- Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
- Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
- Demonstrated ability to optimize machine learning models for performance and scalability.
- Familiarity with machine learning lifecycle management tools and practices.
- Experience in developing and maintaining scalable and robust AI systems.
- Knowledge of best practices in AI model testing, versioning, and deployment.
- Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.
Employer:
RaptorX.ai
Location:
Hyderabad
Collaboration:
The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.
Salary:
Competitive, based on experience.
Education:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
Language Skills:
- Strong command of Business English, both verbal and written, is required.
Other Skills Required:
- Strong analytical and problem-solving skills.
- Proficiency in code versioning tools, such as Git.
- Ability to work in a fast-paced and evolving environment.
- Excellent teamwork and communication skills.
- Familiarity with agile development methodologies.
- Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.
Other Requirements:
- Proven track record of successfully deploying machine learning models into production.
- Ability to manage multiple projects simultaneously and meet deadlines.
- A portfolio showcasing successful AI/ML projects.
Founders and Leadership
RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.
We bring not just technical excellence, but also a relentless passion for innovation and impact.
The Market Opportunity
Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:
- Fintech and Banking
- E-commerce
- Payments
This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.
The Tech Space at RaptorX
We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.
Why You Should Join Us
- Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
- Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
- Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
- Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.


What are the Key Responsibilities:
- Responsibilities include writing and testing code, debugging programs, and integrating applications with third-party web services.
- Write effective, scalable code
- Develop back-end components to improve responsiveness and overall performance
- Integrate user-facing elements into applications
- Improve functionality of existing systems
- Implement security and data protection solutions
- Assess and prioritize feature requests
- Creates customized applications for smaller tasks to enhance website capability based on business needs
- Ensures web pages are functional across different browser types; conducts tests to verify user functionality
- Verifies compliance with accessibility standards
- Assists in resolving moderately complex production support problems
What are we looking for:
- 3+ Years of work experience as a Python Developer
- Expertise in at least one popular Python framework: Django
- Knowledge of NoSQL databases (Elastic search, MongoDB)
- Familiarity with front-end technologies like JavaScript, HTML5, and CSS3
- Familiarity with Apache Kafka will give you an edge over others
- Good understanding of the operating system and networking concepts
- Good analytical and troubleshooting skills
- Graduation/Post Graduation in Computer Science / IT / Software Engineering
- Decent verbal and written communication skills to communicate with customers, support personnel, and management

NASDAQ listed, Service Provider IT Company
Job Summary:
As a Cloud Architect at organization, you will play a pivotal role in designing, implementing, and maintaining our multi-cloud infrastructure. You will work closely with various teams to ensure our cloud solutions are scalable, secure, and efficient across different cloud providers. Your expertise in multi-cloud strategies, database management, and microservices architecture will be essential to our success.
Key Responsibilities:
- Design and implement scalable, secure, and high-performance cloud architectures across multiple cloud platforms (AWS, Azure, Google Cloud Platform).
- Lead and manage cloud migration projects, ensuring seamless transitions between on-premises and cloud environments.
- Develop and maintain cloud-native solutions leveraging services from various cloud providers.
- Architect and deploy microservices using REST, GraphQL to support our application development needs.
- Collaborate with DevOps and development teams to ensure best practices in continuous integration and deployment (CI/CD).
- Provide guidance on database architecture, including relational and NoSQL databases, ensuring optimal performance and security.
- Implement robust security practices and policies to protect cloud environments and data.
- Design and implement data management strategies, including data governance, data integration, and data security.
- Stay-up-to-date with the latest industry trends and emerging technologies to drive continuous improvement and innovation.
- Troubleshoot and resolve cloud infrastructure issues, ensuring high availability and reliability.
- Optimize cost and performance across different cloud environments.
Qualifications/ Experience & Skills Required:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience: 10 - 15 Years
- Proven experience as a Cloud Architect or in a similar role, with a strong focus on multi-cloud environments.
- Expertise in cloud migration projects, both lift-and-shift and greenfield implementations.
- Strong knowledge of cloud-native solutions and microservices architecture.
- Proficiency in using GraphQL for designing and implementing APIs.
- Solid understanding of database technologies, including SQL, NoSQL, and cloud-based database solutions.
- Experience with DevOps practices and tools, including CI/CD pipelines.
- Excellent problem-solving skills and ability to troubleshoot complex issues.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
- Deep understanding of cloud security practices and data protection regulations (e.g., GDPR, HIPAA).
- Experience with data management, including data governance, data integration, and data security.
Preferred Skills:
- Certifications in multiple cloud platforms (e.g., AWS Certified Solutions Architect, Google Certified Professional Cloud Architect, Microsoft Certified: Azure Solutions Architect).
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with cloud cost management and optimization tools.

A Product based company is looking out for software engineers in the following categories.
If your profile matches any of the skills&experience categories and you are looking for a change, Salary won't be a constraint for the right candidate
Category : 0 to 2 years of experience in mobile applications development for android or iOs platforms.
About Mudrantar Solutions Private Limited
Mudrantar Solutions Pvt. Ltd. is a wholly owned subsidiary of the US based startup, Mudrantar Corporation. Mudrantar is a well-funded startup focused on disruptive changes in the Accounting Software for Small, Medium as well as Large businesses in India. Our state-of-the-art OCR + Machine Learning Technology allows customers to simply take photos and our software does the rest of the heavy lifting. Our strategy for CAs, CS and Tax Practitioners is realized through web access for our customers to manage their practice and also manage client communication through freely available mobile app. We also offer data entry automation services through AI/ML platform.
HR Associate
As HR Associate in the IT Startup, you will use your unique blend of HR and Communication skills to recruit top talent in IT Industry as well as retain employees. In this role, you will be responsible for obtaining and recording HR information, managing the HR database, and assisting company employees with enrollment procedures and HR-related issues.
Position
- Full time employment
Location
- Hyderabad or Pune (preferred)
- Any location in India
Requirements
- Recruitment end to end
- On Boarding, Induction
- Learning & Development
- Employee Engagement
- Personal Record Management in ERP
- Attendance & Payroll Assistance
- Employee Retention, Exit Interviews & formalities
Salary:
₹350,000.00 - ₹500,000.00 per year
Benefits:
- Health insurance
- Paid sick time
- Paid time off
- Work from home
Education:
- Master's (Preferred)
Experience:
- Human Resources Generalist: 2+ years (Preferred)
- recruitment: 2+ years (Preferred)
- HRIS: 2+ years (Preferred)


Proven experience as a Full Stack Developer or similar role with Python.
Experience developing desktop and mobile applications 1+ years experience of multiple front-end languages and libraries (e.g., HTML/ CSS, JavaScript, Ajax, XML, jQuery)
1+ years experience of multiple back-end languages & MEAN
Need to have strong skills on MEAN or MERN stack
Excellent communication and teamwork skills
SDET - Mobile
Skills: Appium,C#,Selenium, Mobile Automation, Appium framework, Query the database
Experience: 5- 11 yrs
Education: B.Tech/B.E(Mandatory)
Mobile Test, 5+Years e Manual & AutomationTesting in Mobile applications like Android and IOS, C# or Java Programming SQL, automation framework development, Appium, Selenium




Job Description
Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.
Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.
Experience
10+ Years
Location
Bozeman/Hyderabad
Skills
Required Skills:
Bachelors/Masters or Phd in Computer Science or related industry experience
3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow
7+ Years of industry experience in scripting languages such as Python, R.
7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing
Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc
Some experience in setting up large scale training data pipelines.
Some experience in using Cloud services such as AWS, GCP, Azure
Desired Skills:
Experience in building deep learning models for Computer Vision and Natural Language Processing domains
Experience in productionizing/serving machine learning in industry setting
Understand the principles of developing cloud native applications
Responsibilities
Collect, Organize and Process data pipelines for developing ML models
Research and develop novel prototypes for customers
Train, implement and evaluate shippable machine learning models
Deploy and iterate improvements of ML Models through feedback