Responsibilities Design, develop, and maintain efficient and reliable data pipelines to support business intelligence and analytics initiatives. Write optimized SQL queries for data extraction, transformation, and analysis. Design and implement robust data pipelines using Databricks and PySpark. Develop and maintain ETL processes to ensure data quality and integrity. Create comprehensive documentation for data flows, pipelines, and technical specifications. Troubleshoot and resolve data issues in a timely manner. Required Qualifications Databricks PySpark Programming: Strong experience in developing and optimizing data pipelines using Databricks and PySpark. Databricks certified Spark Developer Associate or other spark certifications preferred. Strong understanding of data lakehouse design principles and implementation in Databricks. SQL: Strong proficiency required, including complex queries, stored procedures, query optimization and table design in SQL Server or any relational database systems. ETL / Data Pipeline Experience: Strong background in designing and implementing ETL processes and data pipelines. Azure Data Factory: Experience designing and implementing data pipelines in Azure Data Factory, including data transformations, scheduling, and error handling. Good understanding of Azure Data Lake Storage (ADLS). Good understanding of Azure DevOps and CI/CD process. Ability to understand business requirements and translate them into technical solutions. Overall Experience: 4-5 years of relevant experience in data engineering.

Infinite Computer Solutions India Pvt. Ltd. is looking for Technical Lead to join our dynamic team and embark on a rewarding career journey. Determining project requirements and developing work schedules for the team. Delegating tasks and achieving daily, weekly, and monthly goals. Liaising with team members, management, and clients to ensure projects are completed to standard. Identifying risks and forming contingency plans as soon as possible. Analyzing existing operations and scheduling training sessions and meetings to discuss improvements. Keeping up-to-date with industry trends and developments. Updating work schedules and performing troubleshooting as required. Motivating staff and creating a space where they can ask questions and voice their concerns. Being transparent with the team about challenges, failures, and successes. Writing progress reports and delivering presentations to the relevant stakeholders.

Infinite Computer Solutions India Pvt. Ltd. is looking for Technical Lead to join our dynamic team and embark on a rewarding career journey. Determining project requirements and developing work schedules for the team. Delegating tasks and achieving daily, weekly, and monthly goals. Liaising with team members, management, and clients to ensure projects are completed to standard. Identifying risks and forming contingency plans as soon as possible. Analyzing existing operations and scheduling training sessions and meetings to discuss improvements. Keeping up-to-date with industry trends and developments. Updating work schedules and performing troubleshooting as required. Motivating staff and creating a space where they can ask questions and voice their concerns. Being transparent with the team about challenges, failures, and successes. Writing progress reports and delivering presentations to the relevant stakeholders.

Responsibilities Work with internal teams to ensure client satisfaction Help streamline business processes Focus on improving the client experience Establish and develop long-term relationships with clients Address customer concerns and complaints Create sales plans to generate revenue Skills Communication : Excellent verbal, written, and listening skills Negotiation : Present clients with contracts and establish terms Customer service : Remain personable with clients Team building : Work with other departments to develop strategies that benefit clients Best practices Get clients to participate Respect their time Communicate effectively Connect over different channels Build personalized relationships Practice knowledge sharing Keep an open mind Maintain transparency

We are looking for a highly skilled Senior AI/ML Engineer with a strong background in designing, deploying, and operationalizing AI/ML services in production environments. You will be a key contributor in building and maintaining robust, scalable systems that support machine learning workflows, including Large Language Models (LLMs) and AI agent frameworks. This position requires deep expertise in MLOps, distributed systems, cloud infrastructure (particularly AWS), and modern software development practices. You ll collaborate with cross-functional teams, drive outcomes by thinking backward from business objectives, and deliver impactful results under specific timelines. Key Responsibilities Design Implement AI/ML Solutions Architect and develop end-to-end ML solutions from data ingestion to model deployment, including LLM-based applications. Evaluate and select appropriate frameworks, libraries, and tools to meet both short-term project goals and long-term scalability. LLM Prompt Engineering Develop and optimize prompts for Large Language Models (e.g., Openai/Claude/Llama) to improve the quality and relevance of outputs. Conduct experiments to evaluate LLM performance and apply prompt engineering best practices to ensure high-impact results. AI Agent Frameworks Incorporate AI agent frameworks (e.g., LangChain, AgentGPT, or similar) to enable autonomous or semi-autonomous decision-making within applications. Integrate AI agents with existing systems, ensuring robust communication and secure data handling. MLOps Production Operations Set up and optimize CI/CD pipelines for ML models, ensuring continuous integration, testing, and deployment. Monitor, troubleshoot, and refine production ML systems for performance, cost-efficiency, and reliability. Cloud Development (AWS) Leverage AWS services (e.g., EC2, S3, Lambda, SageMaker, EKS) to design and maintain scalable, secure, and cost-efficient ML infrastructure. Implement best practices for cloud resource allocation, scaling, and maintenance. Software Engineering Distributed Systems Write clean, maintainable, and well-documented code in Python and other modern languages (e.g., Go or Rust). Develop and maintain distributed systems, focusing on reliability, fault tolerance, and performance. Work with databases (SQL/NoSQL) to handle large-scale data processing and storage. Front-End Integration Collaborate on front-end projects using React/Next.js to build user interfaces or internal tools that interact with AI/ML services. Cross-Team Collaboration Work closely with product managers, data scientists, DevOps engineers, and other stakeholders to define requirements and deliver high-impact solutions. Communicate technical decisions effectively, balancing trade-offs between short-term needs and long-term product vision. Autonomy Time Management Operate with minimal supervision, proactively identifying issues and taking ownership to drive solutions. Manage multiple priorities in a fast-paced environment, and effectively escalate blockers to ensure timely delivery. Continuous Learning Adaptability Stay updated with emerging AI/ML technologies, LLM advancements, and best practices, sharing insights with the team. Adapt quickly to new domains, frameworks, and technologies as project needs evolve. Qualifications Requirements Experience: 5+ years of professional software engineering experience, including distributed systems and databases. Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (or equivalent industry experience). Technical Skills: Required: AWS (or other major cloud provider) with hands-on experience in deploying, monitoring, and scaling production services. Python (preferred) and proficiency in at least one other modern programming language (e.g., Go, Java, Rust). Strong understanding of MLOps concepts, CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Experience with SQL/NoSQL/Vector databases and data processing frameworks. Demonstrated knowledge of LLMs and prompt engineering. Familiarity with AI agent frameworks such as LangChain, AgentGPT, or similar. Experience with open-source ML tools and libraries (PyTorch, TensorFlow, scikit-learn, etc.). Nice to Have: Front-end development skills (React, Next.js) or familiarity with web frameworks. Soft Skills: Excellent interpersonal and communication skills, with the ability to collaborate across diverse teams. Strong problem-solving aptitude and a results-oriented mindset. Proven time management skills, ability to prioritize tasks, and meet tight deadlines. Self-starter who seeks out solutions independently but knows when to escalate for help.

JD : Edifecs Developer with 6-8 Years of experience Edifecs Product Expertise Strong hands-on experience with Edifecs XEngine, Transaction Manager, SpecBuilder, and EAM . Ability to develop, configure, and optimize workflows for healthcare EDI transactions (e.g., 837, 834, 835, 270/271, 276/277, 278). EDI Healthcare Domain Knowledge Deep understanding of HIPAA-compliant EDI transactions and implementation guidelines. Experience working with Medicare, Medicaid, and commercial payer processes . Integration Scripting Proficiency in SQL, XML, XSLT, JavaScript, and Groovy for data transformation and validation. Experience integrating Edifecs with databases (SQL Server, Oracle, PostgreSQL) and APIs (REST/SOAP). Troubleshooting Performance Optimization Ability to analyze logs, troubleshoot errors, and optimize XEngine performance . Familiarity with message tracking, exception handling, and reporting tools in Edifecs. Cloud Automation Experience (Preferred) Knowledge of deploying Edifecs solutions in AWS, Azure, or hybrid cloud environments . Experience with CI/CD pipelines, Terraform, or containerized deployments (Docker, Kubernetes) .

Position: Sr. Technical Support Analyst (L2) / Senior Technical Consultant / Sr. Technical Support Executive Experience: 3-5 years Location: Vizag / Bangalore Job Type: Full time / 24/7 Support Position Overview: We are seeking a dynamic and results-oriented Customer Facing enthusiast to join our Talent Support team. The ideal candidate will be a passionate individual with a strong background in customer service. As a Customer Facing support engineer, you will play a pivotal role in ensuring our customers success and satisfaction while guiding and inspiring your team to deliver exceptional service. Responsibilities: - Provide first-line support for technical issues via phone, email, and chat and understand their concerns and provide prompt and accurate solutions - Troubleshoot hardware and software issues, including operating systems, system/laptop issue applications, VDI, MS office and network connectivity. - Document incidents and service requests in the ticketing system, ensuring accurate information is captured. - Log, categorize, prioritize, and track technical support issues using an ITSM tool - Escalate complex issues to senior team members or other IT departments as necessary. - Assist in the development and maintenance of knowledge base articles. - Ensure compliance with company policies, procedures, and service level agreements (SLAs) in delivering support services - Participate in team meetings and contribute to process improvement initiatives. - Mentor junior staff and assist in training new team members. - Experience with Active Directory and user account management. - Basic knowledge of networking concepts and troubleshooting. - Basic knowledge on Windows 10 / 11. - Knowledge of MS Office troubleshooting. - Excellent Communication Skills is a must Skills: Windows Desktop Support, Service Desk, Wired & Wireless, Troubleshooting, Mac Support, Active Directory, Networking, Windows 10/11, MS Office support and troubleshooting, Excellent communication skills, ITSM Tools, ITIL, ServiceNow, JIRA Qualifications: -Any Graduate (10+3), bachelor s degree in computer science, Information Technology, or related field (preferred). - Good Verbal and communication skills. - 3-5 years of experience in voice technical support role, preferably in a service desk environment. - Strong knowledge of Windows and Mac operating systems, Microsoft Office Suite, and common business applications. - Familiarity with ITIL best practices and ticketing systems (e. g. , ServiceNow, JIRA). - Excellent problem-solving skills and customer service orientation. - Strong communication skills, both verbal and written. - Windows/Network/ITIL Certification preferred ** Part of SOW - (Managed Capacity - Service Desk)

8-10 Years of REST API Testing Experience using Postman. US Healthcare Experience is required. Basic SQL Experience is required. Agile Scrum experience is required. have knowledge of FHIR Specifications. Strong communication and ability to interact with US customers without assistance Essential experience with building Test Automation frameworks (Cucumber, Selenium) and Automated Testing. Strong delivery ownership. Collaborate with stakeholders to understand application needs and objectives. Participate in Agile ceremonies required for the project (daily stand-ups, sprint planning, backlog grooming, retrospectives, etc.) Demo the feature/story on sprint/release demos.Work Timing - 1:30 PM to 10.30 PM IST Location: Chennai/Bangalore.

8-10 Years of REST API Testing Experience using Postman. US Healthcare Experience is required. Basic SQL Experience is required. Agile Scrum experience is required. have knowledge of FHIR Specifications. Strong communication and ability to interact with US customers without assistance Essential experience with building Test Automation frameworks (Cucumber, Selenium) and Automated Testing. Strong delivery ownership. Collaborate with stakeholders to understand application needs and objectives. Participate in Agile ceremonies required for the project (daily stand-ups, sprint planning, backlog grooming, retrospectives, etc.) Demo the feature/story on sprint/release demo.Work Timing - 1:30 PM to 10.30 PM IST Location: Chennai/Bangalore.

8-10 Years of REST API Testing Experience using Postman. US Healthcare Experience is required. Basic SQL Experience is required. Agile Scrum experience is required. have knowledge of FHIR Specifications. Strong communication and ability to interact with US customers without assistance Essential experience with building Test Automation frameworks (Cucumber, Selenium) and Automated Testing. Strong delivery ownership. Collaborate with stakeholders to understand application needs and objectives. Participate in Agile ceremonies required for the project (daily stand-ups, sprint planning, backlog grooming, retrospectives, etc.) Demo the feature/story on sprint/release demos.Work Timing - 1:30 PM to 10.30 PM IST Location: Chennai/Bangalore.

JD: 8-10 years of Experience in the primary skill sets - C#, .NET, Rest APIs. Basic SQL Experience is required. Agile Experience, US Healthcare Knowledge is required. Communication should be strong as the resource will directly interact with the customers. Design and develop application-specific features and functionalities based on project requirements (Epics/Features/Stories) Collaborate with stakeholders to understand application needs and objectives Ensure the reliability, scalability, and performance of applications Participate in testing, debugging, and optimizing application code Participate in Agile ceremonies required for the project (daily stand-ups, sprint planning, backlog grooming, retrospectives, etc.) Demo the feature/story on sprint/release demos Work Timing - 1:30 PM to 10.30 PM IST Location: Chennai/Bangalore

Software Engineer - AI JFWTC Bangalore (Hybrid) 5+ yrs 10 We are looking for a highly skilled Senior AI/ML Engineer with a strong background in designing, deploying, and operationalizing AI/ML services in production environments. You will be a key contributor in building and maintaining robust, scalable systems that support machine learning workflows, including Large Language Models (LLMs) and AI agent frameworks. This position requires deep expertise in MLOps, distributed systems, cloud infrastructure (particularly AWS), and modern software development practices. You ll collaborate with cross-functional teams, drive outcomes by thinking backward from business objectives, and deliver impactful results under specific timelines. Key Responsibilities Design Implement AI/ML Solutions Architect and develop end-to-end ML solutions from data ingestion to model deployment, including LLM-based applications. Evaluate and select appropriate frameworks, libraries, and tools to meet both short-term project goals and long-term scalability. LLM Prompt Engineering Develop and optimize prompts for Large Language Models (e.g., Openai/Claude/Llama) to improve the quality and relevance of outputs. Conduct experiments to evaluate LLM performance and apply prompt engineering best practices to ensure high-impact results. AI Agent Frameworks Incorporate AI agent frameworks (e.g., LangChain, AgentGPT, or similar) to enable autonomous or semi-autonomous decision-making within applications. Integrate AI agents with existing systems, ensuring robust communication and secure data handling. MLOps Production Operations Set up and optimize CI/CD pipelines for ML models, ensuring continuous integration, testing, and deployment. Monitor, troubleshoot, and refine production ML systems for performance, cost-efficiency, and reliability. Cloud Development (AWS) Leverage AWS services (e.g., EC2, S3, Lambda, SageMaker, EKS) to design and maintain scalable, secure, and cost-efficient ML infrastructure. Implement best practices for cloud resource allocation, scaling, and maintenance. Software Engineering Distributed Systems Write clean, maintainable, and well-documented code in Python and other modern languages (e.g., Go or Rust). Develop and maintain distributed systems, focusing on reliability, fault tolerance, and performance. Work with databases (SQL/NoSQL) to handle large-scale data processing and storage. Front-End Integration Collaborate on front-end projects using React/Next.js to build user interfaces or internal tools that interact with AI/ML services. Cross-Team Collaboration Work closely with product managers, data scientists, DevOps engineers, and other stakeholders to define requirements and deliver high-impact solutions. Communicate technical decisions effectively, balancing trade-offs between short-term needs and long-term product vision. Autonomy Time Management Operate with minimal supervision, proactively identifying issues and taking ownership to drive solutions. Manage multiple priorities in a fast-paced environment, and effectively escalate blockers to ensure timely delivery. Continuous Learning Adaptability Stay updated with emerging AI/ML technologies, LLM advancements, and best practices, sharing insights with the team. Adapt quickly to new domains, frameworks, and technologies as project needs evolve. Qualifications Requirements Experience: 5+ years of professional software engineering experience, including distributed systems and databases. Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (or equivalent industry experience). Technical Skills: Required: AWS (or other major cloud provider) with hands-on experience in deploying, monitoring, and scaling production services. Python (preferred) and proficiency in at least one other modern programming language (e.g., Go, Java, Rust). Strong understanding of MLOps concepts, CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Experience with SQL/NoSQL/Vector databases and data processing frameworks. Demonstrated knowledge of LLMs and prompt engineering. Familiarity with AI agent frameworks such as LangChain, AgentGPT, or similar. Experience with open-source ML tools and libraries (PyTorch, TensorFlow, scikit-learn, etc.). Nice to Have: Front-end development skills (React, Next.js) or familiarity with web frameworks. Soft Skills: Excellent interpersonal and communication skills, with the ability to collaborate across diverse teams. Strong problem-solving aptitude and a results-oriented mindset. Proven time management skills, ability to prioritize tasks, and meet tight deadlines. Self-starter who seeks out solutions independently but knows when to escalate for help.

Job Title: AWS Devops Engineer Location: Bangalore Job Type: Full-Time About the Role: We are seeking a highly skilled and motivated AWS /DevOps Engineer to join our dynamic team. The ideal candidate will have extensive experience in AWS, strong proficiency in Terraform, and a solid background in Python. Additionally, a good understanding of Docker and Kubernetes, as well as a sound knowledge of CI/CD pipelines, is essential. Key Responsibilities: AWS Management: Design, implement, and manage scalable, secure, and highly available AWS infrastructure. Terraform: Use Terraform modules to create, modify, and manage infrastructure as code across various environments. Docker Kubernetes: Build, deploy, and manage containerized applications using Docker and Kubernetes. CI/CD Pipelines: Design, implement, and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate the software development lifecycle. Monitoring Logging: Implement monitoring, logging, and alerting solutions to ensure the health and performance of the infrastructure. Collaboration: Work closely with development, QA, and operations teams to ensure smooth integration and deployment of applications. Security Compliance: Ensure infrastructure and applications comply with security best practices and industry standards. Python Programming: Develop automation scripts and tools using Python to streamline processes and improve efficiency. Qualifications: Experience: 8+ years of experience in a DevOps. AWS: Strong hands-on experience with various AWS services (e.g., EC2, S3, RDS, IAM, Lambda, EKS, ECR, KMS, Flink, DataSync etc). Terraform: Proven experience in writing and maintaining Terraform modules for infrastructure automation. Python: Proficient in Python with experience in developing automation scripts and tools. Docker: Good knowledge of containerization and Docker. Kubernetes: Experience with deploying and managing Kubernetes clusters. CI/CD: Sound knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and best practices. Version Control: Proficient in using version control systems like Git. Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent communication and teamwork skills. Preferred Qualifications: Certifications: AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), or similar certifications. Monitoring Tools: Experience with monitoring tools like CloudTrail, CloudWatch, Prometheus, Grafana, or ELK stack. Scripting: Knowledge of other scripting languages like Bash or Shell. Agile Methodologies: Familiarity with Agile methodologies and practices. Benefits: Competitive salary and benefits package. Opportunity to work with cutting-edge technologies and tools. Collaborative and innovative work environment. Continuous learning and professional development opportunities.

REST API and Healthcare Payer Experience 8-10 years of Experience in the primary skill sets - C#, .NET, Rest APIs, REST API and Healthcare Payer Experience and have knowledge of FHIR Specifications. Basic SQL Experience is required. Agile Experience, US Healthcare Knowledge is required. Communication should be strong as the resource will directly interact with the customers. Design and develop application-specific features and functionalities based on project requirements (Epics/Features/Stories) Collaborate with stakeholders to understand application needs and objectives Ensure the reliability, scalability, and performance of applications Participate in testing, debugging, and optimizing application code Participate in Agile ceremonies required for the project (daily stand-ups, sprint planning, backlog grooming, retrospectives, etc.) Demo the feature/story on sprint/release demos Work Timing - 1:30 PM to 10.30 PM IST Location: Chennai/Bangalore