• Design and develop an AI-powered productivity analytics platform — from data pipeline architecture to the final analytical product that helps teams make data-driven decisions • Build scalable LLM pipelines (Claude, GPT): develop data chunking strategies, implement MapReduce approaches for parallel processing of large datasets, and synthesize results into structured reports and insights • Create a meta-workflow system where LLMs generate, test, and deploy automation scripts in an isolated environment — with automatic self-correction loops and production deployment without manual intervention • Develop system-level prompt engineering: build and maintain a library of prompt templates for various analytical scenarios — from summaries and profiles to deep performance analysis • Build an evaluation framework for AI output quality control: hallucination detection, consistency scoring, regression tests — ensuring the product delivers reliable and reproducible results • Scale the platform to new domains and analysis types without linear growth in manual effort — through an architecture that allows adding new modules via configuration, not code • Document AI architecture, define automation specs, and present product insights to stakeholders and clients

About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job Details Lead AI Engineer Location: Pune (Hybrid) Role Purpose Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision-making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels. Key Responsibilities - Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines) - Build scalable data pipelines and feature engineering workflows using structured and unstructured data - Integrate AI capabilities into enterprise platforms via APIs and microservices. - Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data. - Enable AI-driven use cases such as client insights, next-best-action, and automation of RM workflows. - Implement model monitoring, governance, and performance optimization aligned to enterprise standards. - Collaborate with engineering and business teams to translate wealth use cases into scalable solutions. - Experience working with wealth management data (clients, portfolios, transactions) - Understanding of data flows from core banking systems such as Avaloq - Awareness of AI governance, model risk, and regulatory considerations in banking Skills & Experience Primary: - Python (mandatory) • ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) • GenAI / LLM frameworks (LangChain, OpenAI, etc.) • AWS (S3, Lambda, SageMaker, Bedrock) Secondary: • Data engineering (ETL pipelines, feature stores) • API development • Vector databases / embeddings

As a leader in cybersecurity, Rapid7 is expanding our global AI footprint and is looking for a passionate Senior AI Engineer to join Rapid7's AI Centre of Excellence. The AI centre of excellence is on a mission to use AI to accelerate threat investigation, detection and response (D&R) capabilities of our Security Operations Centre (SOC) for both conventional networks and cloud environments. You will design and deliver solutions that address complex, unsolved challenges, working closely with development teams, data engineering, product managers and UI/UX teams along the way. About the Team The AI Center of Excellence team designs, prototypes and ships production AI models and systems. Our mission is to leverage the best available technology to protect our customers' attack surfaces. For example, we partner closely with Rapid7's Detection and Response teams, including our MDR service, to leverage AI/ML for enhanced customer security and threat detection. We operate with a creative, iterative approach, building on 20+ years of threat analysis and a growing patent portfolio. The environment is collaborative, sharing knowledge and developing internal learning. If you're passionate about AI and want to make a major impact in a fast-paced, innovative environment, this is your opportunity. About the Role As a Senior AI Engineer, you'll design, implement, and optimize AI models and systems across a variety of cybersecurity use cases. You'll balance hands-on technical work with cross-functional collaboration, helping shape project direction and mentoring less experienced engineers. You'll operate in both R&D and production environments, using cloud-based infrastructure (AWS, Bedrock, Sagemaker) and modern AI frameworks. You'll collaborate with peers across data, product, and platform teams to ensure the successful integration of AI into Rapid7's product ecosystem. Specifically, your focus will be to: - Develop and ship high-quality AI systems that deliver measurable customer value. - Lead the technical implementation of specific AI projects, from prototyping through deployment. - Collaborate closely with product, data science, and platform teams to design, build, and ship AI-powered features that deliver measurable customer and business value. - Contribute to the development of best practices for model experimentation, evaluation, and observability. - Mentor and support team members in areas like architecture, model design, and debugging. - Maintain awareness of emerging AI methods relevant to cybersecurity and share learnings internally. The skills and qualities you'll bring include: - Proven expertise in building and deploying AI systems in production using Python and modern ML frameworks. - Hands-on experience with tools such as: - scikit-learn, PyTorch, or TensorFlow for model development. - AWS Bedrock, Sagemaker, HuggingFace, or equivalent cloud AI stacks. - CrewAI or other orchestration frameworks for agentic AI systems. - Pandas, NumPy, Airflow, or Databricks for data engineering and workflow automation. - Understanding of model lifecycle management, including monitoring, retraining, and versioning. - Ability to evaluate trade-offs between model performance, latency, and interpretability. - Familiarity with cybersecurity, or adjacent high-signal domains (e.g., finance, healthcare, marketplaces), is a strong plus. - Thrive in a dynamic, iterative environment where experimentation drives progress. - Demonstrate curiosity and persistence - you're excited to explore new techniques, tools, and ideas while maintaining focus on reliability and value. - Balance autonomy with accountability, with a strong sense of ownership for delivering AI capabilities that make measurable impact - Strong written & verbal communication with the ability to convey complex ideas clearly to both technical and non-technical audiences - Approaches change with openness and curiosity, seeking to understand the "why" and helping teams adapt quickly and effectively - Core Value Embodiment: Embody our core values to foster a culture of excellence that drives meaningful impact and collective success. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today #LI-PB1 About Rapid7 At Rapid7, our vision is to create a secure digital world for our customers, our industry, and our communities. We do this by harnessing our collective expertise and passion to challenge what's possible and drive extraordinary impact. We're building a dynamic and collaborative workplace where new ideas are welcome. Protecting 11,000+ customers against bad actors and threats means we're continuing to push the envelope just like we' ve been doing for the past 20 years. If you 're ready to solve some of the toughest challenges in cybersecurity, we're ready to help you take command of your career. Join us.

Company Statement Graham Packaging is a people, planet and values-based company and a leader in sustainable packaging manufacturing. From the kitchen to the laundry room, Graham Packaging is part of your everyday life. For employees at Graham, our Blue Culture is part of their everyday lives, too. In other words, Blue is how we do things here. At Graham, we are united by a clear vision. We know our part and help those around us know theirs, encouraging one another to continuously improve. We create a safe, challenging environment to innovate by supporting creative ideas and new ways of thinking. We take the initiative to cultivate our individual growth and help others do the same, while keeping ourselves and one another accountable. And we actively promote cooperation, collaboration, integrity and respect across regions and teams to foster an engaged, diverse and connected workforce. We value our employees, and a Blue Culture allows for the most rewarding employee experience as part of the Graham family. Blue is how we feel about what we do—together—to create a better tomorrow. Working at Graham means you lead constructively with clear goals, use diverse thinking to drive excellence, accountability, innovation, as well as demonstrating collaboration, embracing learning, and taking action for continuous improvement and growth. Overview Graham Packaging is seeking a A hands-on Process Engineering that applies the science of extrusion blow molding in order to implement stable, repeatable and capable manufacturing processes. This individual will be also responsible for diagnosing machine and process issues and applying problem solving processes across Graham network of plants. This position reports into Graham Packaging’s Global Technical Center in York, PA but can work remotely. Responsibilities - Develop production processes as part of the commercialization of new products and generate process documentation in the form of Standard Operating Conditions (SOCs) - Optimize production processes and establish operational limits to key process variables - Contribute to the development of Standard Operating Procedures (SOPs) for process control and equipment setup. - Provide auditing of SOP’s - Contribute to the improvement in process engineering standard work, SOPs and tools to support process development - Process unit cavity molds as part of the development process - Lead moderately complex problem solving activities and apply technically robust solutions - Provide support for process validation during equipment commissioning - Train skilled plant personnel and other technical specialists on machine set-up and corrective actions - Provide written reports to peers, management, vendors and customers including recommendations for improvement to machine, mold and tooling and bottle design. - Direct plant processing remotely via phone or Ethernet connection. - Able to backfill as New Product Development Engineer or Onsite Project Manager for small to moderate tract projects. Qualifications Core Proficiencies and Skills The following skills and proficiencies are essential requirements of the position: - Expert knowledge of the properties of blow molding resins and other raw materials - Expert processing skills for monolayer, multilayer, single parison and multiple parison bottles - Strong mechanical troubleshooting skills of blow molding equipment - Strong understanding of 2 types of blowmolding platforms as well as basic knowledge of all EBM platforms - Strong understanding of statistics, data analysis and statistical process control - Strong written and verbal communication skills - Strong understanding of PDCA and effective problem solving - Travel 75% Education and/or Work Experience Requirements - BS degree in Engineering (Plastics or Mechanical preferred) or 15 years’ experience in a Manufacturing Engineering position developing blow mold processes for new markets and product lines. - Mold making, repair and maintenance experience preferred. - Hands-on experience setting up, operating, maintaining, rebuilding and troubleshooting extrusion blow molders (CE,Graham Wheel, Techne shuttles, Techne Rotax, Uniloy, VR, Wilmington). The standard compensation for this role is $95,400 - 143,100. Salary offers will be determined based on final candidate qualifications, experience, skillset, and other relevant factors. Compensation Statement The expected salary range for the position described in this posting is made in accordance with the legal mandates of certain jurisdictions within the United States. The final agreed-upon compensation is based on individual qualifications and experience. Benefits Statement Benefits include medical, dental, vision and basic life insurance. Employees are able to enroll in the company’s 401K Employee Saving Plan and may participate in its Employee Wellness Program. Employees will also receive paid time off in accordance with company policy and state law requirements. EEO Disclaimer Graham Packaging is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex (including pregnancy), sexual orientation, religion, creed, age, national origin, physical or mental disability, gender identity and/or expression, marital status, veteran status or other characteristics protected by law.