We are seeking a highly driven and experienced Project Manager to lead the implementation of our Anoud+ product for external clients worldwide. The ideal candidate will bring deep expertise in software product deployment, strong project management acumen, and domain knowledge in insurance. This role demands excellent client engagement skills, a proactive mindset, and the ability to drive multiple projects to successful delivery within defined Time, Cost, and Scope (TCS). Key Responsibilities Product Implementation Leadership Lead end-to-end implementation of the Anoud+ product from initiation through closure. Oversee all phases of the Software Implementation Lifecycle: Initiation, Planning, Execution, Monitoring & Control, and Closure. Provide hands-on support during GAP analysis and User Acceptance Testing (UAT), ensuring alignment with client requirements. Client Relationship Management Act as the primary point of contact for external clients, both onsite and offsite. Build strong, trust-based relationships with stakeholders and ensure transparent communication throughout the project lifecycle. Manage client expectations, address escalations promptly, and ensure high levels of client satisfaction. Project Management Create and maintain comprehensive project plans, budgets, and schedules. Enforce project governance, risk management, and quality assurance processes. Monitor progress, manage interdependencies, and drive timely resolution of issues. Deliver regular, detailed project status reports to stakeholders. Manage multiple mid-sized to complex projects simultaneously. Apply both Waterfall and Agile methodologies effectively. Team Leadership Lead, mentor, and motivate cross-functional project teams to deliver high-quality outcomes. Manage team performance, resolve conflicts, and ensure alignment with project goals. Cultivate a collaborative, accountable, and results-driven team culture. Domain Expertise Utilize in-depth knowledge of the insurance domain to understand client needs and translate them into actionable project outcomes. Provide expert input during requirement analysis, solution design, and testing phases. Required Skills & Qualifications Mandatory: Proven experience in implementing software products for external clients. Hands-on experience in the insurance domain. Onsite/offsite client-facing project delivery experience. Certifications: PMP or PMI-ACP (preferred). Technical: Familiarity with Oracle or Java (preferred). Project Management: Strong grasp of TCS (Time, Cost, Scope) constraints. Skilled in both Agile and Waterfall project methodologies. Experience in stakeholder communication and escalation management. Soft Skills: Excellent verbal and written communication in English. Self-motivated, assertive, and outcome-oriented. Strong leadership, decision-making, and conflict resolution abilities. High level of ownership with a go-getter” attitude.

We are seeking a highly experienced and technically adept Lead AI/ML Engineer to spearhead the development and deployment of cutting-edge AI solutions, with a focus on Generative AI and Natural Language Processing (NLP). The ideal candidate will be responsible for leading a high-performing team, architecting scalable ML systems, and driving innovation across AI/ML projects using modern toolchains and cloud-native technologies. Key Responsibilities Team Leadership: Lead, mentor, and manage a team of data scientists and ML engineers; drive technical excellence and foster a culture of innovation. AI/ML Solution Development: Design and deploy end-to-end machine learning and AI solutions, including Generative AI and NLP applications. Conversational AI: Build LLM-based chatbots and document intelligence tools using frameworks like LangChain , Azure OpenAI , and Hugging Face . MLOps Execution: Implement and manage the full ML lifecycle using tools such as MLFlow , DVC , and Kubeflow to ensure reproducibility, scalability, and efficient CI/CD of ML models. Cross-functional Collaboration: Partner with business and engineering stakeholders to translate requirements into impactful AI solutions. Visualization & Insights: Develop interactive dashboards and data visualizations using Streamlit , Tableau , or Power BI for presenting model results and insights. Project Management: Own delivery of projects with clear milestones, timelines, and communication of progress and risks to stakeholders. Required Skills & Qualifications Languages & Frameworks: Proficient in Python and frameworks like TensorFlow , PyTorch , Keras , FastAPI , Django NLP & Generative AI: Hands-on experience with BERT , LLaMA , Spacy , LangChain , Hugging Face , and other LLM-based technologies MLOps Tools: Experience with MLFlow , Kubeflow , DVC , ClearML for managing ML pipelines and experiment tracking Visualization: Strong in building visualizations and apps using Power BI , Tableau , Streamlit Cloud & DevOps: Expertise with Azure ML , Azure OpenAI , Docker , Jenkins , GitHub Actions Databases & Data Engineering: Proficient with SQL/NoSQL databases and handling large-scale datasets efficiently Preferred Qualifications Masters or PhD in Computer Science, AI/ML, Data Science, or related field Experience working in agile product development environments Strong communication and presentation skills with technical and non-technical stakeholders