Role Overview We are seeking a Customer Success Engineer with strong technical expertise in AI projects to drive product delivery of voice-enabled customer service solutions. The ideal candidate will have hands-on experience in BFSI (Banking, Financial Services & Insurance) or Healthcare sectors, with a proven track record of developing and deploying AI-powered customer service solutions. Key Responsibilities Product Development & Engineering ?Design and develop AI-powered customer service solutions using Contiinex speech analytics and voice bot technologies ?Integrate Contiinex products into BFSI and Healthcare client eco-system ?Create and optimize voice bot workflows and attributes for customer interaction scenarios ?Develop Python-based applications and integrations for customer service automation ?Build and maintain speech analytics pipelines for customer interaction analysis Client Engagement & Solution Design ?Work closely with US & India Enterprise clients to understand their customer service requirements ?Translate business requirements into technical specifications for AI-powered solutions ?Conduct technical demonstrations and proof-of-concepts for prospective clients ?Support pre-sales & integration activities with technical expertise Implementation & Integration ?Deploy and integrate voice bot solutions into existing customer service infrastructures ?Implement speech analytics tools for call center optimization and customer insights ?Configure and customize Contiinex AI tools for specific industry requirements (BFSI/Healthcare) ?Ensure seamless integration with CRM systems, telephony platforms, and other enterprise tools ?Develop APIs and middleware for third-party system integrations Quality Assurance & Optimization ?Monitor and analyze performance metrics of deployed AI solutions ?Conduct quality assurance testing for voice bot interactions and speech analytics accuracy ?Optimize model performance based on real-world usage data and feedback ?Troubleshoot technical issues and provide ongoing support for deployed solutions ?Implement feedback loops for continuous improvement of AI systems Required Qualifications Educational Background ?B.Tech/B.E in Computer Science, Electronics, Information Technology, or related technical field ?Advanced degree (M.Tech/MBA) preferred but not mandatory Technical Skills Core Programming: ?3-5 years of hands-on Python development experience ?Experience with RESTful API development and integration ?Manage database operations, including schema design, optimization, and queries using MySQL/MSSQL. ?Design, develop, and deploy cloud-based solutions, with a working knowledge of Azure/AWS/GCP deployments. ?Hands-on experience with Docker for application deployment and scaling. ?Experience with writing LLM prompts, and speech bot workflows. AI & Speech Technologies: ?Hands-on experience with voice bot development and deployment ?Working knowledge of speech analytics tools and platforms ?Familiarity with AI/ML tools
Job Summary: The Senior Presales and Solutioning Engineer will be a key technical leader responsible for driving business growth by providing expert technical guidance and solution design during the presales process. This role involves understanding client business needs, translating them into compelling technical solutions, and effectively communicating the value proposition of our IT engineering services. The ideal candidate will be a highly technical and client-facing individual with a strong understanding of various technologies and a proven ability to develop and present winning solutions. Responsibilities: Presales Engagement: Participate in initial client meetings to understand their business challenges, technical requirements, and desired outcomes. Solution Architecture: Design and architect innovative and scalable IT engineering solutions that address client needs, leveraging the company's service offerings and technology expertise. Proposal Development: Lead the technical aspects of proposal development, including defining solution scope, technical approach, effort estimation, and pricing considerations. Technical Presentations and Demonstrations: Develop and deliver compelling technical presentations, demonstrations, and proof-of-concepts (POCs) to showcase the proposed solutions to clients. RFP/RFI Response: Lead the technical response to Requests for Proposals (RFPs) and Requests for Information (RFIs), ensuring accuracy, completeness, and alignment with client1 requirements. Technology Expertise: Maintain a deep understanding of current and emerging technologies in areas relevant to the company's service offerings (e.g., cloud platforms, application development frameworks, data analytics tools, security solutions). Collaboration with Sales Team: Work closely with the sales team to qualify opportunities, develop sales strategies, and provide technical support throughout the sales cycle. Internal Knowledge Sharing: Contribute to the development of reusable solution frameworks, best practices, and knowledge assets to enhance the presales process. Competitive Analysis: Stay informed about competitor offerings and provide insights on how to differentiate our solutions. Transition to Delivery: Ensure a smooth handover of the solution design and technical understanding to the delivery teams post-sales. Mentoring and Guidance: Provide technical guidance and mentorship to junior presales and solutioning team members. Thought Leadership: Participate in industry events, webinars, and contribute to technical blogs or whitepapers to enhance the company's technical credibility. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Minimum of[8-12] years of experience in presales, solution architecture, or a similar technical client-facing role within the IT services industry. Proven track record of successfully designing and presenting complex IT solutions to enterprise clients. Deep technical expertise in one or more of the company's key service areas (e.g., Gen AI, Cloud, DevOps, Data Engineering, Application Development, Cybersecurity). Strong understanding of software development methodologies, architecture patterns, and integration technologies. Experience with cloud platforms (AWS, Azure, GCP) and their service offerings. Familiarity with enterprise architecture frameworks and principles. Excellent understanding of the sales process and the role of presales in driving revenue. Skills: Excellent Communication and Presentation Skills: Ability to articulate complex technical concepts clearly and concisely to both technical and non-technical audiences. Strong Problem-Solving and Analytical Skills: Ability to understand client challenges and develop innovative and effective solutions. Client-Facing and Interpersonal Skills: Ability to build rapport, establish trust, and effectively communicate with clients at all levels. Experience- 14+ years Location- Pune Immediate to 30 days only Interview process- L1- VP/ L2- CTO/ L3- CBO. Strong Communication Should have worked on Proactive RFP Should have closed large deals .
Core Java 8/11 Expert-level knowledge. OOPs & Design Patterns Strong hands-on experience. Multi-threading Executor framework, Future, schedulers. JPA Hibernate or OpenJPA. Authentication/Authorization OAuth2/JWT OR Caching Google Guava/AWS Elastic OR GCP Hands-on experience. Framework Expertise Spring/Spring Boot/Microservices. Cluster Management & High Availability Health checks (JMX/HTTP/Actuator). Architecture Design Hands-on as an individual contributor. Cloud Platforms AWS/Azure/GCP/Oracle Cloud (hands-on). Cloud Migration At least 1 hands-on experience. End-to-End Cloud Solutions Understanding of servers, storage, network, data, apps. Problem-Solving & Communication Agile mindset, solution-oriented.
Job Summary: As an AI/ML Architect at Emerson, you will be responsible for designing and guiding the implementation of scalable, high-performance AI/ML architectures. You will work closely with developers, data scientists, engineers, and other stakeholders to ensure that our AI/ML solutions meet business needs and technological standards. In This Role, Your Responsibilities Will Be: Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions. Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration. Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance. Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance. Work with cross-functional teams, including developers, data scientists, machine learning engineers, and business stakeholders, to understand requirements and design solutions that align with business objectives. Create and maintain comprehensive documentation for AI/ML architectures, including design specifications, deployment procedures, and best practices. Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective Ensure that AI/ML systems comply with security standards and regulatory requirements. Implement best practices for data privacy and protection. For This Role, You Will Need: Bachelor's degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. Total 10-15 years of industry experience More than 3 years of experience in designing and implementing AI/ML architectures, with a proven track record of successful projects. Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools. Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing. Experience with Microsoft Azure cloud services and their AI/ML offerings Experience with event-handling systems such as Kafka Experience with big data technologies and data engineering practices. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications that Set You Apart: Prior experience in development of products is essential. Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have Experience with AI/ML model versioning and life cycle management. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Knowledge of AI ethics and responsible AI practices.
Role Overview We are seeking a Policy Manager to take full ownership of SGP's internal policy framework. This individual will be responsible for ensuring compliance across all company policies, maintaining audit readiness, and managing responses to customer-required assessments and regulatory forms such as DORA and third-party risk assessments. This is a critical position based in our Hyderabad, India office , reporting to our Head of Development (India) . The ideal candidate will have a strong background in policy governance, audit trail management, and third-party compliance documentation. Key Responsibilities Own and manage all internal company policies , including creation, maintenance, and version control. Develop and maintain a compliance checklist for each policy and ensure it is actively followed. Conduct and document weekly, monthly, and quarterly internal audits to ensure policy compliance across departments. Serve as the primary responder for: Customer third-party risk assessments DORA and other regulatory or compliance frameworks Detailed security, HR, and operational forms or questionnaires from customers Collaborate with internal stakeholders (Security, Legal, HR, Development, Customer Success) to ensure alignment and timely delivery of policy documentation and responses. Work with leadership to identify gaps or risks in current policies and recommend improvements. Act as the internal subject matter expert for policy interpretation and compliance guidance. Qualifications 4+ years of experience in policy management, compliance, audit, or related functions in a SaaS or enterprise software environment. Proven experience managing policy compliance frameworks and audit trails . Strong understanding of global compliance standards (DORA, SOC 2, ISO, GDPR, etc.) is a plus. Experience working with third-party security and compliance assessments . Exceptional organizational, written, and communication skills. Detail-oriented with the ability to manage multiple priorities under tight deadlines. Self-starter with strong ownership mindset and the ability to work independently. Preferred Skills Proficiency in using AI tools such as ChatGPT, Gemini, or Copilot to streamline policy research, documentation, and form responses. Experience with tools like Jira, Confluence, Excel/Google Sheets , and compliance management systems. Experience supporting RFPs, RFIs, and vendor questionnaires for large enterprises. Ability to distill complex regulatory language into actionable internal documentation. Comfortable working in a global, cross-functional team environment. Why Join Us Be part of a fast-growing global company at the forefront of middleware centric performance and transactions management. Take ownership of a high-impact function with visibility across leadership and customers. Work in a culture that values initiative, integrity, and continuous improvement. Leverage cutting-edge AI tools to boost productivity and deliver high-quality outputs faster.
About This Role We're seeking a passionate Generative AI Engineer & problem solver to join our world-class team of innovators who are pushing the boundaries of what's possible with artificial intelligence. You'll be at the forefront of cutting-edge AI research and development, working on awesome projects. What You'll Do Core Responsibilities: Collaborate with cross-functional teams to translate complex AI concepts into practical business solutions. Design systems around open source, enterprise models like Llama, Gemini, GPT to solve innovative problems. Build robust evaluation pipelines to assess model performance, safety, and alignment with business objectives. Optimize model latency and performance for real-time applications and large-scale deployment Architect scalable ML infrastructure for training, inference, and model serving Fine-tune Large Language Models (LLMs) and other transformer-based architectures Ability to explain complex AI concepts to technical and non-technical stakeholders What We're Looking For Experience Requirements: 6+ years of overall data science or ML experience. 1.5+ years of hands-on experience with generative AI and large language models. Advanced degree in Computer Science, Machine Learning, or related field. Experience in taking ML/DL model to production. ? Technical Expertise: Python, C++ or any other high-level language. PyTorch and TensorFlow. Experience with Hugging Face Transformers , LangChain , LlamaIndex, PydanticAI Deep Learning fundamentals: neural networks, backpropagation, optimization Generative AI frameworks : OpenAI API, Anthropic Claude, Google Gemini, local LLM deployment Model architectures : Transformers, attention mechanisms, encoder-decoder models Fine-tuning techniques : LoRA, QLoRA, full parameter fine-tuning, RLHF Design and implement comprehensive evaluation pipelines A/B testing for AI systems and statistical significance testing Latency optimization techniques: model quantization, pruning, distillation Experience with MLOps tools: MLflow, Weights & Biases, DVC