15947 Jobs in Andhra Pradesh - Page 38

Job Description Skill—Java Architect (AWS) Experience: 9-13 Yrs Ro le: T1 Responsibilities 11+ years of experience in Java development, with proficiency in Java 8+. Strong experience with Spring Boot, Spring Cloud, and other modern Java frameworks. Experience with Camunda BPM or similar business process management tools and process automation frameworks. Proficiency in developing and consuming RESTful APIs. Experience in integrating backend systems with UI React platforms and knowledge of frontend-backend communication (e.g., using REST APIs, WebSockets, etc.). Strong understanding of microservices architecture, cloud-based applications, and containerized environments (Docker, Kubernetes). Experience with SQL and NoSQL databases, including database design and query optimization. Familiarity with Agile development methodologies, version control systems (Git), and CI/CD pipelines. Excellent problem-solving and debugging skills, with a focus on performance and scalability. Strong communication and collaboration skills, with the ability to work effectively in a team and mentor junior developers. Strong Application Development Work Experience - Agile Environment Preferred Solid application design, coding, testing, maintenance and debugging skills Experience with Junit and Cucumber testing. Experience with APM Monitoring tools and logging tools like Splunk Proficiency with JIRA, Confluence (preferred). AWS solution implementation hands on experience is mandatory. Subject mater expert having experience of interacting with client, understanding the requirement and guiding the team. Documenting the requirements clearly with defined scope and must play a anchor role in setting the right expectations and delivering as per the schedule. Expertise in development using Core Java, J2EE, XML, WebServices/SOA and used Java. frameworks - Spring, spring batch,Spring-boot, JPA, REST, MQ. Knowledgeable in developing RESTful micro services with technical stack, Amazon ECS ,Ec2,S3,API Gateway, amazon aurora , ALB, and Route 53 extensive knowledge and implementation experience Working with GIT/Bitbucket, Maven, Gradle, Jenkins tools to build and deploy code deployment to production environments. Hands on for CI/CD kubarnatees hands on experience Develop and maintain high quality, scalable, and performant backend services using Java, Spring Boot, Spring Cloud, and other Java frameworks. Collaborate closely with frontend teams to integrate React-based user interfaces with backend systems, ensuring smooth communication and efficient data exchange Work with Camunda BPM to design and integrate business process management workflows into backend applications, streamlining process automation and improving efficiency. Ensure that applications are developed with best practices for security, scalability, and performance. Write well tested, maintainable and high quality code in a collaborative, Agile environment Troubleshoot, debug, and optimize applications to improve performance and user experience. Provide technical leadership, mentoring junior developers, and guiding the team in adopting best practices and improving coding standards Participate in the architecture and design of backend systems making key decisions regarding technology and implementation. Collaborate with cross functional teams to ensure that business requirements are met About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 21,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Core Java, J2EE,Spring Boot, Microservices, Web Services SOA experience SOAP as well as Restful with JSON formats, with Messaging Kafka, Database integrations (DB2, GOS, PostgreSQL). Good hands on in designing architecture on AWS. Core Java, J2EE,Spring Boot, Microservices, Web Services SOA experience SOAP as well as Restful with JSON formats, with Messaging Kafka. atabase integrations (DB2, GOS, PostgreSQL). D Hands on AWS services like EKS Cluster; EC2, AWS lambda, cloud monitoring tools like Datadog, Cloud watch. Working with GIT/Bitbucket, Maven, Gradle, Jenkins tools to build and deploy code deployment to production environments. Jenkins, Git/ Bitbucket, Sonar, Black Duck, Splunk

We are seeking a highly skilled and hands on Full Stack Developer with strong expertise in AWS services Python and Machine Learning The ideal candidate will have experience in building scalable applications integrating APIs and working across both backend and frontend technologies Key Responsibilities Design develop and deploy cloud native applications using AWS services such as Lambda Step Functions ECS and ALB Build and maintain robust APIs including integration with API Gateway and ALB Develop backend services using Java and Spring Boot Apply Python and Machine Learning techniques to solve business problems and enhance application intelligence Collaborate with cross-functional teams to deliver full stack solutions Participate in code reviews testing and performance tuning Contribute to frontend development when needed ensuring seamless user experiences Required Skills Strong hands on experience with AWS Lambda Step Functions ECS ALB Proficiency in Python and foundational knowledge in Machine Learning Experience in API development and integration RESTful APIs API Gateway ALB Full stack development experience with Java and Spring Boot Familiarity with frontend technologies eg HTML CSS JavaScript React or Angular is a plus Nice to Have Exposure to DevOps practices and CI CD pipelines Experience with containerization Docker and orchestration Kubernetes Knowledge of security best practices in cloud and web development

Job Summary Test Engineer to validate agent output quality, automate regression, and perform hallucination testing. Experience Level: 5+ years JD Design and execute functional and exploratory test cases. Validate LLM outputs and context alignment. Automate regression tests using Python frameworks. Track success rate, response time, hallucination %. Perform agent A/B testing and red teaming. Experience with AI/ML or chatbot testing. Familiarity with Pytest, Robot Framework. Knowledge of LLM output evaluation techniques. Experience with annotation and human-in-the-loop testing.

Key Responsibilities Design, build, and maintain scalable data pipelines for batch and real-time processing using tools like Apache Airflow, dbt, or Apache Spark. Develop robust ETL/ELT workflows to ingest, clean, transform, and load data from diverse sources (APIs, databases, files, streams). Work with stakeholders to understand data needs and translate business requirements into technical solutions. Ensure data is accurate, timely, and accessible to downstream users (BI tools, ML models, applications). Collaborate with data architects and engineers to build a modern data stack leveraging cloud-native platforms (e.g., AWS, GCP, Azure). Monitor and optimize data pipeline performance, scalability, and cost-efficiency. Implement data quality, validation, and observability frameworks to proactively detect and resolve issues. Maintain clear documentation of pipelines, data flows, and architecture. Support data compliance, governance, and security policies. Required Qualifications Technical Skills Strong programming skills in Python or Scala for data engineering tasks. Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt, Luigi, Kedro). Proficiency in SQL for data manipulation and modeling. Experience with big data and distributed processing technologies (e.g., Spark, Kafka, Flink). Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Hands on experience with cloud platforms and data services (e.g., AWS Glue, GCP Dataflow, Azure Data Factory). Experience working with version control (Git), CI/CD pipelines, and containerized environments (Docker, Kubernetes). Soft Skills Strong problem solving and debugging skills. Excellent communication and documentation abilities. Ability to work independently and collaborate across cross-functional teams. Strong attention to detail and data quality. Preferred Qualifications Experience with real time data streaming and event driven architectures. Familiarity with data cataloging and lineage tools (e.g., Amundsen, DataHub). Knowledge of MLOps or integration with ML pipelines is a plus. Experience in industries like ecommerce, finance, or healthcare is a bonus. Education & Experience Bachelors or Masters degree in Computer Science, Engineering, or a related field. 2 to 5 years of experience in data engineering or pipeline development roles.

We are seeking a Senior QA Engineer with advanced expertise in functional and automated testing. The ideal candidate will play a key role in Agile development teams, ensuring software quality through modern testing methodologies and tool Functional and regression tests Test automation scripts for APIs and UI Agile ceremonies and sprint planning

Fundamental knowledge and experience in Statistical modeling, Neural networks, LLMs. Use case implementations around Natural Language Processing and numerical modeling. Image processing is an added advantage. Deep knowledge in GenAI and agentic implementations. Experience and knowledge in testing LLM application at scale, evaluation frameworks. Experience in implementing end to end observability of GenAI and Agentic Applications. Guard rails implementation Deep knowledge and experience in python development. Leadership and communication skills.

Key Responsibilities Develop and maintain Python-based backend systems to integrate AI/ML models into production environments. Design, build, and manage APIs and connectors for integrating with enterprise systems (e.g., CRMs, ERPs, databases, cloud platforms). Collaborate with AI/ML teams to productionize models and ensure smooth deployment, versioning, and monitoring. Implement and manage data pipelines for real-time and batch data ingestion. Assist in developing automation and orchestration scripts using Python and integration tools. Troubleshoot and resolve issues related to system integrations and AI model performance. Work with DevOps teams to manage deployment pipelines, CI/CD processes, and infrastructure as code Ensure compliance with data governance, security, and privacy standards during integration. Communicate with clients and internal stakeholders to gather requirements and deliver tailored AI solutions. Requirements Technical Skills Strong proficiency in Python, including experience with libraries like FastAPI, Flask, Pandas, and NumPy. Experience with RESTful APIs, webhooks, and third-party API integration. Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and how to deploy models. Knowledge of cloud platforms (AWS, Azure, GCP) and associated services (e.g., Lambda, S3, Cloud Functions, Pub/Sub). Experience with message brokers and event-driven systems (e.g., Kafka, RabbitMQ). Proficient in Git, Docker, and CI/CD workflows. Understanding of microservices architecture and container orchestration (e.g., Kubernetes). Soft Skills Strong analytical and problem solving skills. Effective communication skills and ability to explain technical concepts to non-technical stakeholders. Ability to work independently as well as part of a collaborative cross-functional team. Client-focused mindset with the ability to gather requirements and deliver customized solutions. Preferred Qualifications Experience with low code no-code integration platforms (e.g., Zapier, MuleSoft, Make.com). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Kubeflow). Previous experience in a client-facing or consulting role. Exposure to data privacy regulations e.g., GDPR, HIPAA Must-Have: 3 plus years experience in Python development, with a focus on backend or data-related systems. Solid understanding of REST APIs, webhooks, OAuth2, and other integration technologies. Experience deploying and integrating AI/ML models into real-world applications. Familiarity with AI ML concepts (NLP, computer vision, classification, etc.) even if not directly building models. Experience with one or more cloud platforms (AWS, GCP, Azure). Experience working with structured and unstructured data formats (JSON, XML, CSV, images, etc.). Must-Have: 3+ years experience in Python development, with a focus on backend or data-related systems. Solid understanding of REST APIs, webhooks, OAuth2, and other integration technologies. Experience deploying and integrating AI/ML models into real-world applications. Familiarity with AI/ML concepts (NLP, computer vision, classification, etc.) even if not directly building models. Experience with one or more cloud platforms (AWS, GCP, Azure). Experience working with structured and unstructured data formats (JSON, XML, CSV, images, etc.).

We are seeking a Senior QA Engineer with advanced expertise in functional and automated testing. The ideal candidate will play a key role in Agile development teams, ensuring software quality through modern testing methodologies and tool performance testing Experience with tools like JMeter, LoadRunner Agile ceremonies and sprint planning

Roles Definition: EDW (snowflake) Roles & Responsibilities EDW 5+ years of experience in data engineering, data warehousing, or related fields. 3+ years of hands-on experience with Snowflake, including designing and implementing EDW solutions. 2+ years in a lead or senior developer role, managing data engineering projects Strong proficiency in SQL for querying, data modeling, and performance optimization. Familiarity with Azure cloud data platform and integration with Snowflake. Expertise in Snowflakes core features, including SnowSQL, Snowpipe, Streams, Tasks, and virtual warehouses Knowledge of data modeling techniques (snowflake schema, dimensional modeling). Experience with scripting languages like Python, Scala, or Java for data processing (preferred for Snowpark) Familiarity with BI tools like Power BI, Tableau for downstream reporting integration. Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams. Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM, etc Experience with large-scale data integration, ETL/ELT processes, and enterprise data environments.

We need a KPO hiring SPOC at HYD – Snr. Con – T2; preferably a male candidate who has extensive experience in conducting offline drives, also college connections and drives. KPO hiring is added advantage.

Fundamental knowledge and experience in Statistical modeling, Neural networks, LLMs. Use case implementations around Natural Language Processing and numerical modeling. Image processing is an added advantage. Deep knowledge in GenAI and agentic implementations. Experience and knowledge in testing LLM application at scale, evaluation frameworks. Experience in implementing end to end observability of GenAI and Agentic Applications. Guard rails implementation Deep knowledge and experience in python development. Leadership and communication skills.

We are seeking a Database Architect with expert-level knowledge in database design, data modeling, and AWS RDS. The candidate will be responsible for creating optimized data structures and ensuring database performance and reliability. Design and implement scalable and normalized database schemas Manage RDS instances on AWS. Conduct performance tuning and optimization Collaborate with application teams to ensure data model alignment.

UI React Lead with advanced proficiency in ReactJS, Redux, GraphQL, and backend integration. This role involves leading frontend teams and delivering high-performing, scalable UI applications. Lead frontend development using ReactJS, Redux, and GraphQL Coordinate API integrations with backend services. Ensure UI best practices and coding standards.

We are hiring a DevOps AWS Lead with deep expertise in cloud infrastructure, automation, and CI/CD practices. This role involves leading DevOps initiatives, designing scalable cloud solutions on AWS, and driving operational excellence across development and deployment pipelines. The ideal candidate will have hands-on experience with infrastructure as code, containerization, monitoring tools, and a strong understanding of security and compliance in cloud environments. Lead infrastructure automation using Terraform and AWS services. Implement and manage CI/CD pipelines Ensure security, scalability, and performance of cloud infrastructure. Collaborate with development and operations teams for seamless deployment.

Key Responsibilities Develop, deploy, and maintain Python-based applications powered by LLMs and other Gen AI models (e.g., GPT4, Claude, Gemini, Mistral). Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases (e.g., Pinecone, FAISS, Weaviate). Build prompt templates, manage system prompts, and experiment with prompt engineering techniques for performance tuning. Integrate LLMs with APIs, microservices, databases, and user-facing apps. Optimize latency, throughput, and cost-efficiency for inference workloads, including caching, batching, or quantization where applicable. Collaborate with ML and DevOps teams to enable CI/CD, model versioning, and monitoring for AI applications. Work with evaluation frameworks (e.g., LangChain, Weights & Biases, Trulens) to measure output quality (e.g., relevance, coherence, safety). Troubleshoot and enhance LLM behavior, including addressing hallucinations, bias, and task completion accuracy. Required Qualifications Bachelors or Masters degree in Computer Science, AI/ML, Engineering, or a related field. 3+ years of experience in Python software development, preferably with AI/ML projects. Strong knowledge of LLMs, transformers, and modern NLP tools. Experience working with LLM APIs (OpenAI, Anthropic, Google Gemini, Cohere, etc.). Familiarity with vector databases (e.g., FAISS, Pinecone, Chroma) and semantic search principles. Hands-on experience with prompt engineering and LLM orchestration tools (LangChain, LlamaIndex, Haystack, etc.). Solid understanding of REST APIs, containers (Docker), and cloud platforms (AWS/GCP/Azure). Preferred Qualifications Experience with chatbot frameworks, agent-based LLM systems, or multi-agent orchestration. Understanding of tokenization, context window management, and cost optimization strategies for LLMs. Exposure to multimodal AI (e.g., text-to-image, speech-to-text, OCR) and computer vision libraries. Familiarity with evaluation techniques for AI output (BLEU, ROUGE, semantic similarity, etc.). Contributions to open-source LLM or Gen AI frameworks are a strong plus.

Required Qualifications Bachelors or Master degree in Computer Science, Data Engineering, Machine Learning, or related field. 3 plus years of experience in DevOps, MLOps, or similar roles. Proficiency with containerization (Docker), orchestration (Kubernetes), and Infrastructure as Code (Terraform, CloudFormation). Experience with ML model deployment frameworks (TensorFlow Serving, TorchServe, FastAPI, BentoML, etc.). Hands on experience with ML lifecycle tools (MLflow, Kubeflow, DVC, Airflow). Strong scripting and programming skills (Python, Bash, etc.). Experience with cloud platforms (AWS GCP Azure) and relevant ML services (SageMaker, Vertex AI, etc.). Familiarity with data engineering workflows, streaming, and data pipelines (Kafka, Spark, etc.). Strong understanding of CI CD concepts and tools (GitLab CI, Jenkins, ArgoCD). Preferred Qualifications Experience with monitoring and logging tools (Prometheus, Grafana, ELK, Datadog). Knowledge of model governance, auditing, and regulatory requirements. Exposure to A B testing, shadow deployments, and canary releases for ML models. Certification in cloud platforms or DevOps practices is a plus.

Key Responsibilities Design, architect, and implement scalable, secure, and high-performance Java-based applications and microservices. Lead technical discussions and drive the architectural decisions for enterprise solutions. Collaborate with stakeholders to gather requirements and translate business needs into technical specifications. Provide hands-on leadership for development teams, including code reviews, mentoring, and guidance on design patterns and practices. Define and enforce software engineering standards, best practices, and DevOps strategies. Oversee the integration of third-party systems and APIs. Evaluate and select appropriate technologies and frameworks for application development. Participate in Agile/Scrum planning and ensure on-time delivery of high-quality features. Monitor application performance and recommend improvements or optimizations. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. 8+ years of Java development experience, including strong proficiency with Java 8+, Spring Boot, and RESTful APIs. 3+ years in a technical leadership or architect role. Strong experience with Microservices architecture, containerization (Docker), and orchestration (Kubernetes). Hands-on experience with Cloud platforms such as AWS, Azure, or GCP. Proficiency in CI/CD tools (Jenkins, GitLab, Maven, etc.). Solid understanding of database technologies (SQL and NoSQL). Familiarity with security best practices and performance tuning. Strong problem-solving skills and the ability to work independently and collaboratively. Preferred Skills: Experience with message brokers like Kafka, RabbitMQ, or ActiveMQ. Knowledge of GraphQL or gRPC. Exposure to front-end technologies (Angular, React) is a plus. Certifications in Java, AWS, or relevant technologies. Soft Skills: Strong communication and interpersonal skills. Leadership and team management abilities. Analytical mindset and attention to detail. Ability to work under pressure and meet tight deadlines. Preferred Skills: Experience with message brokers like Kafka, RabbitMQ, or ActiveMQ. Knowledge of GraphQL or gRPC. Exposure to front-end technologies (Angular, React) is a plus. Certifications in Java, AWS, or relevant technologies. Soft Skills Strong communication and interpersonal skills. Leadership and team management abilities. Analytical mindset and attention to detail. Ability to work under pressure and meet tight deadlines.

Fundamental knowledge and experience in Statistical modeling, Neural networks, LLMs. Use case implementations around Natural Language Processing and numerical modeling. Image processing is an added advantage. Deep knowledge in GenAI and agentic implementations. Experience and knowledge in testing LLM application at scale, evaluation frameworks. Experience in implementing end to end observability of GenAI and Agentic Applications. Guard rails implementation Deep knowledge and experience in python development. Leadership and communication skills.

11+ years of experience in Java development, with proficiency in Java 8+. Strong experience with Spring Boot, Spring Cloud, and other modern Java frameworks. Experience with Camunda BPM or similar business process management tools and process automation frameworks. Proficiency in developing and consuming RESTful APIs. Experience in integrating backend systems with UI React platforms and knowledge of frontend-backend communication (e.g., using REST APIs, WebSockets, etc.). Strong understanding of microservices architecture, cloud-based applications, and containerized environments (Docker, Kubernetes). Experience with SQL and NoSQL databases, including database design and query optimization. Familiarity with Agile development methodologies, version control systems (Git), and CI/CD pipelines. Excellent problem-solving and debugging skills, with a focus on performance and scalability. Strong communication and collaboration skills, with the ability to work effectively in a team and mentor junior developers. Strong Application Development Work Experience - Agile Environment Preferred Solid application design, coding, testing, maintenance and debugging skills Experience with Junit and Cucumber testing. Experience with APM Monitoring tools and logging tools like Splunk Proficiency with JIRA, Confluence (preferred). AWS solution implementation hands on experience is mandatory. Subject mater expert having experience of interacting with client, understanding the requirement and guiding the team. Documenting the requirements clearly with defined scope and must play a anchor role in setting the right expectations and delivering as per the schedule. Expertise in development using Core Java, J2EE, XML, WebServices/SOA and used Java. frameworks - Spring, spring batch,Spring-boot, JPA, REST, MQ. Knowledgeable in developing RESTful micro services with technical stack, Amazon ECS ,Ec2,S3,API Gateway, amazon aurora , ALB, and Route 53 extensive knowledge and implementation experience Working with GIT/Bitbucket, Maven, Gradle, Jenkins tools to build and deploy code deployment to production environments. Hands on for CI/CD kubarnatees hands on experience Develop and maintain high quality, scalable, and performant backend services using Java, Spring Boot, Spring Cloud, and other Java frameworks. Collaborate closely with frontend teams to integrate React-based user interfaces with backend systems, ensuring smooth communication and efficient data exchange Work with Camunda BPM to design and integrate business process management workflows into backend applications, streamlining process automation and improving efficiency. Ensure that applications are developed with best practices for security, scalability, and performance. Write well tested, maintainable and high quality code in a collaborative, Agile environment Troubleshoot, debug, and optimize applications to improve performance and user experience. Provide technical leadership, mentoring junior developers, and guiding the team in adopting best practices and improving coding standards Participate in the architecture and design of backend systems making key decisions regarding technology and implementation. Collaborate with cross functional teams to ensure that business requirements are met

We are seeking a highly skilled and hands on Full Stack Developer with strong expertise in AWS services Python and Machine Learning The ideal candidate will have experience in building scalable applications integrating APIs and working across both backend and frontend technologies Key Responsibilities Design develop and deploy cloud native applications using AWS services such as Lambda Step Functions ECS and ALB Build and maintain robust APIs including integration with API Gateway and ALB Develop backend services using Java and Spring Boot Apply Python and Machine Learning techniques to solve business problems and enhance application intelligence Collaborate with cross-functional teams to deliver full stack solutions Participate in code reviews testing and performance tuning Contribute to frontend development when needed ensuring seamless user experiences Required Skills Strong hands on experience with AWS Lambda Step Functions ECS ALB Proficiency in Python and foundational knowledge in Machine Learning Experience in API development and integration RESTful APIs API Gateway ALB Full stack development experience with Java and Spring Boot Familiarity with frontend technologies eg HTML CSS JavaScript React or Angular is a plus Nice to Have Exposure to DevOps practices and CI CD pipelines Experience with containerization Docker and orchestration Kubernetes Knowledge of security best practices in cloud and web development

Key Responsibilities Design, build, and maintain scalable data pipelines for batch and real-time processing using tools like Apache Airflow, dbt, or Apache Spark. Develop robust ETL/ELT workflows to ingest, clean, transform, and load data from diverse sources (APIs, databases, files, streams). Work with stakeholders to understand data needs and translate business requirements into technical solutions. Ensure data is accurate, timely, and accessible to downstream users (BI tools, ML models, applications). Collaborate with data architects and engineers to build a modern data stack leveraging cloud-native platforms (e.g., AWS, GCP, Azure). Monitor and optimize data pipeline performance, scalability, and cost-efficiency. Implement data quality, validation, and observability frameworks to proactively detect and resolve issues. Maintain clear documentation of pipelines, data flows, and architecture. Support data compliance, governance, and security policies. Required Qualifications Technical Skills Strong programming skills in Python or Scala for data engineering tasks. Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt, Luigi, Kedro). Proficiency in SQL for data manipulation and modeling. Experience with big data and distributed processing technologies (e.g., Spark, Kafka, Flink). Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Hands on experience with cloud platforms and data services (e.g., AWS Glue, GCP Dataflow, Azure Data Factory). Experience working with version control (Git), CI/CD pipelines, and containerized environments (Docker, Kubernetes). Soft Skills Strong problem solving and debugging skills. Excellent communication and documentation abilities. Ability to work independently and collaborate across cross-functional teams. Strong attention to detail and data quality. Preferred Qualifications Experience with real time data streaming and event driven architectures. Familiarity with data cataloging and lineage tools (e.g., Amundsen, DataHub). Knowledge of MLOps or integration with ML pipelines is a plus. Experience in industries like ecommerce, finance, or healthcare is a bonus. Education & Experience Bachelors or Masters degree in Computer Science, Engineering, or a related field. 2 to 5 years of experience in data engineering or pipeline development roles.

We are seeking a highly skilled AI/ML Engineer to join our dynamic team driving innovation in the U.S. Wealth Management space through Generative AI solutions. This role is pivotal in designing and implementing cutting-edge AI systems including prompt engineering, retrieval-augmented generation (RAG), and agentic workflows, with a strong foundation in Python. You will work closely with product owners, data scientists, and banking domain experts to build intelligent systems that enhance advisory services, personalized financial planning, and digital client experience. AI/ML Eng. (Prompt, RAG, Agentic, Python) Very good knowledge & Experience in AI/ML Eng. (Prompt, RAG, Agentic, Python) AI/ML Eng. (Prompt, RAG, Agentic, Python) Very good oral & written communication skills and should be a very good team player Develop and fine-tune prompts for LLMs (e.g., GPT-4, Claude, LLaMA) for use cases in wealth management and financial advisory. Build RAG pipelines integrating vector databases (e.g., FAISS, Pinecone, Weaviate) with unstructured financial documents, research, and product info. Design and implement agentic systems/workflows to simulate human-like decision-making in financial planning scenarios. Collaborate with financial domain experts to translate wealth management needs into AI-driven features. Optimize model performance, latency, and accuracy using tools like LangChain, LlamaIndex, and HuggingFace. Conduct model evaluations (BLEU, ROUGE, human evaluation) and prompt audits for reliability and compliance. Package solutions into APIs/microservices for integration into digital platforms (mobile/web portals). Ensure alignment with data privacy, compliance, and model governance frameworks specific to the banking sector.

Company Description Spotmies leverages advanced technologies to deliver unique digital services for innovative and transformative ideas. By following subtle and perfect approaches, we mold client ideas to their perfection. We employ versatile methods to bring client fantasies to life and work incessantly to position clients advantageously in the competitive market. We facilitate easier and effective business promotions in the digital landscape, prioritizing client satisfaction above all. Role Description This is a full-time role for a Video Editor, located on-site in Maddilapalem. The Video Editor will be responsible for handling day-to-day video production and editing tasks, including video color grading and creation of motion graphics. The role also involves working with visual elements to enhance video content, ensuring seamless integration and high-quality output. Qualifications Skills in Video Production and Video Editing Proficiency in Video Color Grading Experience with Motion Graphics and Graphics design Excellent attention to detail and creativity Strong communication and teamwork skills Ability to work efficiently in a fast-paced environment Experience with industry-standard video editing software Bachelor's degree in Film Production, Multimedia, Graphic Design, or related field is a plus

We are hiring a UI Developer with strong expertise in ReactJS, Redux, GraphQL, and backend integration.** This role focuses on building scalable, high-performance user interfaces and collaborating with cross-functional teams to deliver seamless frontend solutions. The ideal candidate will have hands-on experience in modern UI frameworks and a passion for creating intuitive, responsive web applications. Develop modern, component-based UI using ReactJS. Integrate GraphQL APIs and ensure seamless data rendering Implement responsive designs with HTML/CSS and JavaScript.