The candidate should have experience in AI Development including experience in developing, deploying, and optimizing AI and Generative AI solutions. The ideal candidate will have a strong technical background, hands-on experience with modern AI tools and platforms, and a proven ability to build innovative applications that leverage advanced AI techniques. You will work collaboratively with cross-functional teams to deliver AI-driven products and services that meet business needs and delight end-users. Job Duties and Responsibilities: Define and maintain project plans, schedule, requirements, document for product deliverables. Define project scope, deliverables, roles, and responsibilities in collaboration with Product Owner and stakeholders as per defined organization framework (XPMC) Follow agile methodology and maintain team dashboard (KANBAN) – Assign work to project team, track, and monitor team deliverables. Provide recommendations based on best practices and industry standards. Work closely with the team to ensure adherence to schedule timelines. Key Prerequisites Experience in AI and Generative AI Development Experience in Design, develop, and deploy AI models for various use cases, such as predictive analytics, recommendation systems, and natural language processing (NLP). Experience in Building and fine-tuning Generative AI models for applications like chatbots, text summarization, content generation, and image synthesis. Experience in implementation and optimization of large language models (LLMs) and transformer-based architectures (e.g., GPT, BERT). Experience in ingestion and cleaning of data Feature Engineering and Data Engineering Experience in Design and implementation of data pipelines for ingesting, processing, and storing large datasets. Experience in Model Training and Optimization Exposure to deep learning models and fine-tuning pre-trained models using frameworks like TensorFlow, PyTorch, or Hugging Face. Exposure to optimization of models for performance, scalability, and cost-efficiency on cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI). Hands-on experience in monitoring and improving model performance through retraining and evaluation metrics like accuracy, precision, and recall. AI Tools and Platform Expertise OpenAI, Hugging Face MLOps tools Generative AI-specific tools and libraries for innovative applications. Technical Skills Strong programming skills in Python (preferred) or other languages like Java, R, or Julia. Expertise in AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Proficiency in working with transformer-based models (e.g., GPT, BERT, T5, DALL-E). Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization tools (Docker, Kubernetes). Solid understanding of databases (SQL, NoSQL) and big data processing tools (Spark, Hadoop). Show more Show less

Job Title: Project Manager – Digital Finance Domain Job Summary: We are seeking a Project Manager with expertise in Digital Finance to mentor and guide college student teams through real-world project execution. The ideal candidate will facilitate a structured learning environment, ensuring that students gain practical exposure to financial concepts, project management methodologies, and industry best practices . This role requires strong financial acumen, leadership skills, and the ability to simplify complex concepts for students to bridge the gap between academic learning and professional work environments. Key Responsibilities: Lead, mentor, and anchor student project teams to deliver real-world digital finance projects with industry relevance. Demonstrate a deep understanding of financial statements and core financial concepts to guide students in project execution. Analyze financial data , identify trends, and provide structured feedback for student learning. Ensure effective communication of financial concepts in a way that is engaging, simplified, and comprehensible to students. Develop and oversee project timelines, ensuring deliverables are met with high standards and professionalism . Facilitate interactive workshops, Q&A sessions, and feedback loops to support student progress. Collaborate with industry experts and faculty to design project-based learning frameworks. Assess student performance and provide constructive, actionable feedback to improve financial and analytical skills. Ensure students develop problem-solving, critical thinking, and professional communication skills . Guide students in using financial tools, digital platforms, and analytical models applicable to the finance industry. Required Skills & Qualifications: Strong understanding of financial principles, financial statements (balance sheets, income statements, cash flow analysis), and digital finance concepts . Experience in financial analysis, budgeting, forecasting, and risk assessment . Proven ability to engage, mentor, and train students or early-career professionals . Excellent verbal and written communication skills , with the ability to break down complex topics. Prior experience in teaching, mentoring, or training in the finance domain is highly desirable. Strong project management skills , including planning, execution, and monitoring. Ability to manage multiple projects, meet deadlines, and ensure high-quality deliverables . Familiarity with digital finance tools, financial modeling software, or fintech platforms is a plus. Self-motivated, proactive, and able to work independently while collaborating with diverse teams . Educational Qualifications: Bachelor's or Master's degree in Finance, Accounting, Economics, Business Administration, or a related field . Certifications such as CFA, CPA, FRM, or PMP (preferred but not mandatory). Additional certification in Digital Finance, FinTech, or Data Analytics is an advantage. Professional Experience: Minimum 3-5 years of experience in financial analysis, consulting, investment banking, digital finance, or a related field . Experience in mentoring, training, or managing student teams/interns in a professional setting is a plus. Prior experience in academic collaboration, industry projects, or experiential learning initiatives is desirable. Hands-on experience with financial modeling, data analysis, or project-based learning methodologies is beneficial. Work Environment & Conditions: Remote/Hybrid/In-person (based on the organization’s structure and student needs). May involve interaction with industry professionals, faculty members, and external mentors . Flexible working hours depending on student engagement and project timelines. Performance Expectations & KPIs: Successful completion of student projects within defined timelines. Student engagement and satisfaction levels based on feedback. Effectiveness in mentoring and guiding students through project challenges. Quality of financial analysis and insights delivered in student projects. Ability to integrate real-world financial scenarios into student learning experiences. Show more Show less