Job Summary: We are seeking a skilled Java Developer with experience in Drools (business rules management system) or Apache Druid (real-time analytics database) to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining robust, scalable Java-based applications, with a focus on rule engines or real-time data processing. Responsibilities: Design, develop, test, and deploy Java applications and services. Integrate and configure Drools for rule-based processing, or Apache Druid for real-time analytics (depending on skillset). Collaborate with cross-functional teams to define technical solutions and requirements. Write clean, maintainable, and efficient code following best practices. Monitor and troubleshoot application performance and reliability issues. Develop unit and integration tests to ensure software quality. Maintain technical documentation for systems and processes. Required Skills and Qualifications: 3+ years of experience in Java development. Hands-on experience with Drools or Apache Druid (at least one is mandatory). Strong understanding of object-oriented design and design patterns. Experience with Spring/Spring Boot frameworks. Familiarity with RESTful APIs and microservices architecture. Knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL stores. Experience with build tools (Maven, Gradle) and version control systems (Git). Excellent problem-solving and debugging skills. Strong communication and teamwork abilities. Preferred Qualifications: Experience working in agile development environments. Familiarity with containerization tools (Docker, Kubernetes). Exposure to CI/CD pipelines. Knowledge of cloud platforms (AWS, GCP, or Azure)

Salesforce CLM Developer 8+ YRS Mandatory Skills Salesforce ,Salesforce CLM & Docusign. Job Description Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 8 years of experience in CLM development and implementation, with a strong focus on Salesforce CLM. Proficiency in designing, developing, and implementing DocuSign CLM solutions to meet the needs of our organization. Develop and maintain documentation for system configurations, workflows, and integrations. Customize and configure DocuSign CLM to improve contract management workflows and enhance user experience. Lead the DocuSign CLM integration with other enterprise applications and systems to streamline processes and ensure data consistency. Provide technical support and guidance to end-users, ensuring they fully leverage the capabilities of DocuSign CLM. Identify opportunities to optimize and automate contract management processes using DocuSign CLM. Stay up to date with the latest developments and best practices in DocuSign CLM and related technologies. Experience and knowledge of relational databases, data modeling, and ETL tools. Proficiency in JavaScript, HTML, CSS, and other web technologies. Strong understanding of Salesforce architecture, data model, and security. Experience in providing technical guidance and mentorship to junior developers and team members. Experience in Collaborating with cross-functional teams to gather and analyze requirements and translate them into technical specifications. Familiarity with Agile development methodologies and version control systems. Work closely with the Business team to understand their needs and provide technical expertise and guidance. Collaborate with other developers and architects to design and implement CLM enhancements and integrations. Participate in code reviews and provide constructive feedback to ensure code quality and adherence to best practices. Salesforce Certified CLM Specialist certification is highly preferred. Strong communication and interpersonal skills, with the ability to articulate technical concepts to non-technical stakeholders. Roles & Responsibilities We are seeking a highly skilled and experienced Senior DocuSign CLM Developer to join our dynamic team. The ideal candidate will have extensive experience in developing and implementing DocuSign Contract Lifecycle Management (CLM) solutions and will play a crucial role in enhancing our contract management processes. Our work environment and culture encourage our people to hone current skills and build new capabilities, while discovering their genius.

Qualifications Bachelor's degree in human resources, Business Administration, or a related field. 5+ years of experience in US IT bench sales recruiting. Strong understanding of IT technologies and the US staffing market. Proven track record of successful consultant placements. Excellent negotiation and client management skills. Skills Required IT Staffing & Bench Sales Client Relationship Management Contract Negotiation Market Analysis Excellent Communication Team Collaboration Proficiency in ATS (Applicant Tracking System) & MS Office Suite Show more Show less

As a Full Stack Developer with 8+ years of experience, you will be responsible for the following: You should have 5+ years of overall Java development experience, along with 2+ years of experience with Angular 16+ using NgRx. Additionally, you should possess 4+ years of experience in implementing REST services with Java and Spring Boot. It is essential to have a solid understanding of cloud concepts, with a preference for GCP and Azure experience. Knowledge of deploying to cloud platforms such as Kubernetes, PCF, GCP, Azure, AWS, etc., is desired. Experience with Test-Driven Development (TDD) in both frontend and backend technologies is a plus. Strong written and verbal communication skills are necessary for effective collaboration within the team. Familiarity with agile methodologies and pair programming (XP, Scrum, etc.) is required, and you must be willing to participate in pair programming sessions. Proficiency in CI/CD tools like Jenkins, as well as maintaining and interacting with databases (Oracle, Postgres, etc.), is expected. Moreover, experience with software release management tools such as Pivotal Tracker, JIRA, Rally, etc., will be beneficial for this role.,

You should possess a Bachelor's degree in Computer Science, Information Technology, or a related field. With a minimum of 6 years of experience in CLM development and implementation, particularly focusing on Salesforce CLM. Your responsibilities will include designing, developing, and implementing DocuSign CLM solutions tailored to our organization's requirements. It will be crucial to create and update system configuration, workflow, and integration documentation. Additionally, you will customize and configure DocuSign CLM to optimize contract management workflows and enhance user experience, while also integrating it with other enterprise applications for streamlined processes and data consistency. Your role will involve providing technical support and guidance to end-users to ensure they effectively utilize DocuSign CLM capabilities. Staying updated on the latest developments and best practices in DocuSign CLM and related technologies is essential. Proficiency in relational databases, data modeling, ETL tools, JavaScript, HTML, CSS, and other web technologies is required. A solid understanding of Salesforce architecture, data model, and security is necessary, along with familiarity with Agile methodologies and version control systems. Collaboration with the Business team to comprehend their needs and offer technical expertise is key. Working closely with developers and architects to design and implement CLM enhancements and integrations is part of the role. Participation in code reviews and providing constructive feedback to maintain code quality and best practices is expected. Holding a Salesforce Certified CLM Specialist certification is highly preferred. Strong communication and interpersonal skills are essential, with the ability to communicate technical concepts to non-technical stakeholders effectively.,

Roles and Responsibilities 1. MLOps Strategy & Implementation Design and implement scalable MLOps pipelines for the end-to-end lifecycle of machine learning models (from data ingestion to model deployment and monitoring). Automate model training, testing, validation, and deployment using CI/CD practices. Collaborate with data scientists to productize ML models. 2. Infrastructure Management Build and maintain cloud-native infrastructure (e.g., AWS/GCP/Azure) for training, deploying, and monitoring ML models. Optimize compute and storage resources for ML workloads. Containerize ML applications using Docker and orchestrate them with Kubernetes. 3. Model Monitoring & Governance Set up monitoring for ML model performance (drift detection, accuracy drop, latency). Ensure compliance with ML governance policies, versioning, and auditing. 4. Collaboration & Communication Work with cross-functional teams (Data Engineering, DevOps, and Product) to ensure smooth ML model deployment and maintenance. Provide mentorship and technical guidance to junior engineers. 5. Automation & Optimization Automate feature extraction, model retraining, and deployment processes. Improve latency, throughput, and efficiency of deployed models in production. Technical Skills / Tech Stack 1. Programming Languages Python (primary for ML/AI and scripting) Bash/Shell Go or Java (optional but valuable for performance-critical components) 2. ML Frameworks & Libraries TensorFlow , PyTorch , Scikit-learn MLflow , Kubeflow , or SageMaker ONNX (for model conversion) 3. Data & Pipeline Tools Apache Airflow , Luigi Kafka , Apache Beam , Spark (for streaming/batch data) Pandas , Dask , NumPy 4. DevOps & MLOps Tools Docker , Kubernetes , Helm Terraform , Pulumi (for infrastructure as code) Jenkins , GitHub Actions , Argo Workflows MLflow , DVC , Tecton , Feast 5. Cloud Platforms AWS : S3, EKS, SageMaker, Lambda, CloudWatch GCP : GKE, AI Platform, BigQuery, Dataflow Azure : Azure ML, AKS, Blob Storage 6. Monitoring & Logging Prometheus , Grafana ELK Stack , Datadog , Cloud-native monitoring tools 7. CI/CD & Versioning Git , GitOps , CI/CD pipelines for model and data versioning Preferred Experience 5+ years in AI/ML engineering roles. Experience building MLOps pipelines in production. Familiarity with regulatory and ethical considerations in ML (e.g., fairness, bias detection, explainability). Strong debugging and performance tuning skills in distributed environments.

Job Summary: We are seeking a highly skilled and experienced Machine Learning Engineer to join our data science team. You will be responsible for designing, developing, and deploying machine learning models and algorithms that power intelligent systems. This role requires a deep understanding of statistical modelling, data engineering, and software development best practices. Key Responsibilities: Design and implement scalable machine learning models and pipelines for real-world applications. Collaborate with cross-functional teams including data engineers, product managers, and software developers. Conduct exploratory data analysis, feature engineering, and model selection. Evaluate models using appropriate metrics and validate performance with A/B testing. Deploy ML models into production using cloud platforms such as AWS, GCP, or Azure. Continuously monitor model performance and retrain as needed. Document methodologies, experiments, and project outcomes. Mentor junior ML engineers and contribute to team development and knowledge sharing. Required Skills & Qualifications: Strong programming skills in Python (preferred), R, or Java. Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience with ML frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM. Proficiency in data processing using Pandas, NumPy, and SQL. Familiarity with cloud services (AWS Sagemaker, GCP Vertex AI, Azure ML). Experience in deploying models using REST APIs, Docker, or CI/CD pipelines. Strong problem-solving, critical thinking, and analytical skills. Excellent communication and team collaboration abilities. Preferred Qualifications: Experience with deep learning for computer vision or NLP. Familiarity with big data technologies (e.g., Spark, Hadoop). Background in statistics, optimization, or operations research. Contribution to open-source ML projects or published research papers.

Design, develop, and oversee the implementation of end-to-end AI solutions Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization Create architectural approaches for AI software and hardware integration Define AI solution objectives and ensure alignment with business outcomes Monitor AI industry trends and maintain state-of-the-art industry knowledge Implement best practices for AI testing, deployment, and maintenance

Senior UI Developer (AI/ML) Location: Chennai Experience Level: (5+ years) About the Role We’re seeking a Senior UI Developer with a passion for building cutting-edge interfaces for AI-powered products . You will play a critical role in bridging the gap between complex machine learning models and end-users by designing clean, scalable, and user-friendly interfaces. Your work will directly support AI applications in areas such as natural language processing (NLP), computer vision, predictive analytics, and more. Key Responsibilities Design, develop, and maintain high-quality UI components for AI-powered web and mobile applications. Collaborate with product managers, designers, and AI/ML engineers to transform data and model outputs into intuitive, actionable interfaces. Create real-time dashboards, visualizations, and workflows for human-AI collaboration. Optimize front-end performance for data-heavy and low-latency AI systems. Integrate with APIs, backend services, and model inference endpoints. Lead UI architecture discussions and enforce UI best practices and code quality standards. Mentor junior developers and contribute to internal UI component libraries and design systems. Required Skills 5+ years experience in frontend development using frameworks such as React , Angular , or Vue . Deep understanding of JavaScript/TypeScript , HTML5, CSS3 (SASS, Tailwind, etc.). Experience with state management (Redux, Context API, Vuex, etc.). Proven ability to work with REST APIs and/or GraphQL. Experience with data visualization tools such as D3.js , Plotly , Chart.js , or Three.js . Strong grasp of accessibility (WCAG), responsive design, and cross-browser compatibility. Preferred Skills Exposure to machine learning concepts, tools, or platforms (e.g., TensorFlow, PyTorch, OpenAI, Hugging Face). Familiarity with MLOps tools (e.g., MLflow, Weights & Biases, Kubeflow). Experience building UIs for annotation tools, dashboards, or model explainability (XAI). Knowledge of WebSockets, streaming data, or real-time data rendering. Familiarity with backend basics (Node.js, Flask, FastAPI) or full-stack development is a plus.