10.0 - 20.0 years

25 - 40 Lacs

hyderabad

Hybrid

Role Summary: As a Salesforce Architect, you will play a pivotal role in designing and delivering comprehensive Salesforce solutions that align with our clients' business objectives. You will be responsible for shaping the technical architecture of Salesforce implementations, ensuring they are scalable, secure, and optimized for performance. This role requires a strategic thinker who can translate complex business requirements into practical and innovative Salesforce solutions while providing leadership and guidance to the development teams. You will be an ideal fit if: You have a proven track record in Salesforce architecture and solution design. You possess in-depth expertise across Salesforce products, including Sales Cloud, Service Cloud, Marketing Cloud, and others. You have a solid understanding of CRM processes and the ability to tailor Salesforce solutions to meet diverse business needs. You excel at transforming complex business requirements into scalable, high-performance Salesforce solutions. You are experienced in leading, mentoring, and collaborating with development teams to achieve project success. You are passionate about the latest Salesforce technologies and committed to continuous learning. Key Responsibilities: Solution Design: Lead the end-to-end design of complex Salesforce solutions that align with business objectives, technical requirements, and scalability. Architect solutions that leverage core Salesforce products (Sales Cloud, Service Cloud, Marketing Cloud, Commerce Cloud, etc.) and integrate with third-party systems. Technical Leadership : Provide expert-level guidance and mentorship to development teams, ensuring adherence to best practices, design patterns, and coding standards. Lead code reviews and provide constructive feedback. Platform Expertise: Leverage deep expertise in Salesforce architecture, including Lightning Web Components (LWC), Apex, Visualforce, Salesforce APIs, integration techniques (REST, SOAP), and Salesforce integration patterns. Business Process Analysis: Collaborate with business analysts and stakeholders to understand requirements and translate them into technical specifications. Ensure solutions are aligned with business needs while maximizing platform capabilities. Cloud and Integration Architecture: Design and implement seamless integrations between Salesforce and other enterprise systems (ERP, external databases, cloud services, etc.), ensuring high-performance and reliability. Scalability and Performance: Architect solutions with scalability in mind, ensuring performance optimization and future growth. Recommend improvements to existing architectures to enhance performance, reliability, and maintainability. Risk Management: Proactively identify potential risks in architecture and implementation plans and recommend mitigation strategies. Innovation: Stay current with new Salesforce features and innovations, evaluate them for inclusion in future projects, and drive continuous improvement in the Salesforce solutions. Client Collaboration: Work directly with clients to understand their business challenges, recommend Salesforce solutions that address those challenges, and communicate technical concepts to non-technical stakeholders. Documentation and Reporting: Produce high-quality documentation detailing solution architecture, technical designs, integration workflows, and operational guidelines.

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Machine Learning Engineer Neoware Technology Solutions

5.0 - 10.0 years

7 - 12 Lacs

chennai

Work from Office

Development Machine Learning Engineer Requirements Develop predictive and prescriptive models to optimize business outcomes and drive growth Expert proficiency in Python Strong experience with PyTorch and scikit-learn Proficient with Git and GitHub Solid understanding and experience with Python unittest framework and Pytest for unit, integration, and API testing Hands-on experience with Dockerized deployment on AWS or Azure cloud platforms Experience with CI/CD pipelines using AWS CodePipeline or similar alternatives (e.g., Jenkins, GitLab CI) Experience with AWS or Azure services relevant to ML workloads (e.g., Sagemaker, EC2, S3, Azure ML, Azure Functions) Responsibilities Design, develop, and implement scalable machine learning models and algorithms to solve complex problems related to claims processing, fraud detection, risk stratification, member engagement, and predictive analytics within the payer landscape Collaborate closely with data scientists, product managers, and other engineering teams to translate business requirements into technical specifications and deliver end-to-end ML solutions Develop and optimize ML model training pipelines, ensuring data quality, feature engineering, and efficient model iteration Conduct rigorous model evaluation, hyperparameter tuning, and performance optimization using statistical analysis and best practices Integrate ML models into existing applications and systems, ensuring seamless deployment and operation Write clean, well-documented, and production-ready code, adhering to high software engineering standards Participate in code reviews, contribute to architectural discussions, and mentor junior engineers Stay abreast of the latest advancements in machine learning, healthcare technology, and industry best practices, actively proposing innovative solutions Ensure all ML solutions comply with relevant healthcare regulations and data privacy standards (e.g., HIPAA) Chennai Full time 5+ years Other positions Principal Architect (Data and Cloud) Chennai, Bangalore Full time 12-18 years

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