11 Aiml Platforms Jobs

As a Senior Manager AI Strategy & Advisory Lead at EY, you will play a crucial role in driving enterprise-level AI strategy consulting engagements for global clients. Your responsibilities will include assisting organizations in designing responsible, scalable, and value-centric AI roadmaps, overseeing enterprise data readiness, evaluating AI infrastructure requirements, and implementing AI through modern delivery models. In this position, you will be at the forefront of business strategy, data, technology, and transformation, necessitating a combination of strategic foresight and technical expertise. Your collaboration will extend to client executives, business unit leaders, data and cloud teams, and EY's global alliance partners to shape the next generation of intelligent enterprises. Key Responsibilities: - Lead AI strategy and advisory engagements covering areas like AI-enabled business transformation, AI/ML operating models, data readiness, infrastructure modernization, and governance. - Engage with CxOs and business/technology leaders to evaluate AI maturity, establish strategic priorities, and develop roadmaps aligned with enterprise objectives. - Supervise the development of AI opportunity portfolios, ROI assessments, and implementation blueprints. - Ensure adherence to responsible AI principles (ethics, fairness, transparency, privacy, etc.) in all solution approaches. Practice Leadership: - Contribute to shaping and enhancing EY's AI Strategy & Advisory offerings and go-to-market assets, including methodologies, accelerators, and thought leadership. - Contribute to EY's global AI Center of Excellence (CoE) with reusable frameworks, playbooks, and client value stories. - Mentor and lead a team of consultants and managers, fostering a culture of innovation, continuous learning, and delivery excellence. Team Leadership & Capability Building: - Establish and lead a high-performing team of AI strategists, data advisors, and transformation consultants. - Mentor team members on strategic thinking, client engagement, and technical proficiency across data and AI domains. - Develop capability frameworks, training plans, and reusable delivery accelerators for AI strategy engagements. - Cultivate a collaborative, innovative, and purpose-driven team culture in alignment with EY values. Business Development: - Drive business development initiatives, including proposal development, client workshops, solutioning, and account growth. - Collaborate with industry and account teams to identify, qualify, and shape AI-led opportunities. Required Qualifications: - Bachelors degree in Engineering, Computer Science, Information Technology, or Electronics from a recognized university. - Masters degree: M.Tech or MBA with specialization in Information Systems, Infrastructure Management, or Technology Strategy. - Relevant certifications in AI/ML and cloud technologies are advantageous. - 12-16 years of relevant experience in management consulting, strategy, or AI-driven digital transformation roles. - Deep understanding of AI/ML technologies, business applications, and industry trends. - Familiarity with AI/ML platforms and ecosystem tools is a plus. - Proven track record in leading AI or advanced analytics strategy engagements for large enterprises. - Strong business consulting and stakeholder engagement skills with the ability to translate business needs into actionable AI strategies. - Experience across industries like financial services, healthcare, consumer, or manufacturing is preferred. Join EY to embark on a fulfilling journey where you can contribute to building a better working world for all.,

You will be responsible for leading end-to-end process transformation and automation initiatives for the asset management business. Your role will involve owning and executing strategic programs with measurable business impact such as cost reduction, efficiency improvements, and risk mitigation. It will be crucial to govern the automation delivery lifecycle and align it with enterprise strategy and outcomes. You will need to evaluate and implement emerging automation tools like AI/ML and low-code platforms to future-proof operations. Engaging senior stakeholders and cross-functional teams to ensure buy-in and adoption of automation solutions will be a key aspect of your responsibilities. Additionally, you will be expected to foster digital awareness, build automation capability across teams, and drive cultural change. Managing program budgets, resource planning, MIS/reporting, and risk mitigation strategies will also be part of your role. The ideal candidate for this position should have 15+ years of experience, with a significant portion of that in the asset management, investment banking, or capital markets domain focusing on process transformation. A strong background in Intelligent Automation, RPA, AI/ML platforms, and low-code/no-code solutions is required. Proven experience in Lean Six Sigma, Design Thinking, or other process excellence methodologies will be beneficial. Experience in managing large, complex, cross-functional teams and global stakeholder relationships at the CXO level is essential. A strong understanding of SDLC, business architecture, and automation trends is also expected. Exposure to tools like ServiceNow, JIRA, Confluence, and Azure DevOps would be a plus. Excellent leadership, program management, communication, and strategic thinking capabilities are crucial for success in this role. For further information or inquiries, please contact us at ruchita.khole@credencehrservices.com,

The role you are applying for is a leadership position within a Global Capability Center (GCC) of a prominent Asset Management firm located in Mumbai/Pune. As a leader in this role, you will be responsible for driving end-to-end process transformation and automation initiatives specific to the asset management business. Your key responsibilities will include owning and executing strategic programs aimed at achieving measurable business impact such as cost reduction, efficiency improvements, and risk mitigation. You will be tasked with governing the automation delivery lifecycle and ensuring alignment with the enterprise strategy and desired outcomes. Additionally, you will be required to evaluate and implement emerging automation tools, such as AI/ML and low-code platforms, to ensure the future-proofing of operations. Engaging with senior stakeholders and cross-functional teams to secure buy-in and drive adoption of automation solutions will also be a crucial aspect of your role. It will be essential for you to promote digital awareness, cultivate automation capabilities across teams, and facilitate cultural change within the organization. Furthermore, you will be responsible for managing program budgets, resource planning, MIS/reporting, and implementing risk mitigation strategies. The ideal candidate for this position should possess 15+ years of relevant experience, with a significant portion of it in the asset management/investment banking/capital markets domain, focusing on process transformation. Your background should include expertise in Intelligent Automation, RPA, AI/ML platforms, and low-code/no-code solutions. Proven experience in Lean Six Sigma, Design Thinking, or other process excellence methodologies will be highly beneficial. Experience in managing large, complex, cross-functional teams and handling global stakeholder relationships up to the CXO level is essential. A strong understanding of SDLC, business architecture, and current automation trends will be advantageous. Exposure to tools like ServiceNow, JIRA, Confluence, and Azure DevOps would be considered a plus. Your leadership skills, program management capabilities, effective communication, and strategic thinking abilities will be critical for success in this role. For any further information or inquiries regarding this opportunity, please feel free to contact us at ruchita.khole@credencehrservices.com.,

You are hiring for a leadership role with a Global Capability Center (GCC) of a leading Asset Management firm in Mumbai/ Pune. Your key responsibilities will include leading end-to-end process transformation and automation initiatives for the asset management business. You will own and execute strategic programs with measurable business impact such as cost reduction, efficiency, and risk mitigation. It will also be your responsibility to govern the automation delivery lifecycle and align it with enterprise strategy and outcomes. Additionally, you will evaluate and implement emerging automation tools (AI/ML, low-code platforms) to future-proof operations. Engaging senior stakeholders and cross-functional teams to ensure buy-in and adoption of automation solutions will also be crucial. You are expected to foster digital awareness, build automation capability across teams, and drive cultural change. Managing program budgets, resource planning, MIS/reporting, and risk mitigation strategies will also be part of your role. The ideal candidate profile for this role includes 15+ years of experience, with a significant portion in the asset management/ investment banking/ capital markets domain and process transformation. You should have a strong background in Intelligent Automation, RPA, AI/ML platforms, and low-code/no-code solutions. Proven experience in Lean Six Sigma, Design Thinking, or other process excellence methodologies is required. Experience managing large, complex, cross-functional teams and global stakeholder relationships (CXO-level) will be beneficial. A strong understanding of SDLC, business architecture, and automation trends is necessary. Exposure to tools like ServiceNow, JIRA, Confluence, Azure DevOps is a plus. Excellent leadership, program management, communication, and strategic thinking capabilities are essential for this role. For further information, kindly reach out to us at ruchita.khole@credencehrservices.com,

As a Principal Software Engineer at Fanatics in the Platforms organization, you will be pivotal in driving data-driven decision-making by creating foundational capabilities that enable our application and data engineers, as well as data scientists, to harness the potential of data. You will be at the forefront of enhancing the fan experience through various exciting projects spanning across different domains. Your responsibilities will involve architecting and designing direct-to-consumer (D2C) and business-to-business (B2B) commerce applications with workloads distributed across a multi-cloud topology to engage fans worldwide. You will also be responsible for building and managing scalable and reliable data storage solutions, handling real-time data pipelines with high throughput and low latency, coordinating complex data processing workflows efficiently, ensuring secure and efficient communication between applications, analyzing massive datasets with speed and accuracy, and providing a centralized repository for historical data. Moreover, you will play a crucial role in enabling fast and interactive data analysis for on-the-fly insights, building and maintaining a robust platform to support the development and deployment of impactful machine learning models for areas such as recommender systems and inventory intelligence. In this role, you will have the opportunity to lead technical innovation, drive large initiatives, and mentor junior engineers within the organization. You will contribute to building scalable solutions that empower the entire company to make data-driven decisions and operate more effectively. Key Responsibilities: - Design and drive the technical roadmap for the evolution of platforms to ensure scalability and reliability. - Lead large initiatives, collaborating with cross-functional teams effectively. - Provide mentorship and guidance to junior engineers, fostering their growth. - Build data platforms promoting standardization and data democratization. - Develop and maintain AI/ML infrastructure supporting Fanatics" needs with a focus on MLOps practices. - Champion data and AI governance best practices and build strong cross-functional partnerships. Qualifications: - 13+ years of experience in developing cloud-based applications and integrating them into a common data platform. - Deep technical understanding of distributed systems architecture and operational system integration. - Strong expertise in the big data ecosystem and tools like Apache Kafka, Spark, Airflow, AWS S3, data modeling, etc. - Proven experience in data processing, orchestration, data engineering, and governance. - Excellent communication skills and ability to collaborate effectively. - Experience with AI/ML platforms is a strong plus. Fanatics is a global digital sports platform that aims to ignite the passions of sports fans worldwide. Join us in enhancing the fan experience and delighting sports fans globally through innovative solutions and cutting-edge technology.,

Rockwell Automation is a global technology leader dedicated to assisting the world's manufacturers in enhancing productivity, sustainability, and agility. With over 28,000 employees striving to make a positive impact daily, we take pride in our exceptional team. Our customers, remarkable companies contributing to essential sectors such as healthcare, agriculture, and environmental conservation, inspire our team of energetic problem solvers to drive meaningful change worldwide. If you are a maker, forward thinker, or problem solver seeking a platform to showcase your skills, we invite you to consider joining us! As an AI Architect at Rockwell Automation based in Pune, Noida, or Bangalore, India, you will play a crucial role in designing, developing, and implementing enterprise-grade artificial intelligence solutions. Reporting to the Director of Enterprise Architecture, you will operate from our Pune office in a hybrid capacity. Collaborating with diverse teams including data scientists, engineers, and business leaders, you will ensure that AI systems are scalable, secure, and aligned with organizational objectives. **Your Responsibilities:** - **Architect and implement AI solutions**: Design and supervise end-to-end AI architectures that seamlessly integrate with existing IT and data infrastructure, focusing on scalability, performance, and maintainability. - **Lead cross-functional delivery teams**: Provide guidance to data scientists, engineers, and business stakeholders across the AI solution lifecycle, from ideation and prototyping to production deployment and monitoring. - **Evaluate and recommend technologies**: Assess AI/ML platforms, frameworks, and tools to ensure alignment with business requirements and technical feasibility. - **Establish best practices**: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. - **Mentor and evangelize**: Offer technical leadership and mentorship to junior architects and data professionals, while advocating for AI adoption and architectural vision within the organization. **The Essentials You Will Have:** - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 5+ years of experience in designing and implementing AI architectures in production environments. - Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and cloud-based AI services. - Strong programming skills in Python, R, Java, or similar languages. - Deep understanding of data structures, algorithms, and software engineering best practices. - Experience leading complex AI projects with cross-functional teams and delivering solutions that drive business outcomes. - Familiarity with ethical AI practices and data protection regulations. **The Preferred You Might Also Have:** - Experience deploying AI solutions on cloud platforms in hybrid or multi-cloud environments. - Knowledge of MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. - Strong problem-solving abilities and the capacity to translate business requirements into scalable technical solutions. - Experience in mentoring and developing talent within AI or data science teams. **What We Offer:** Our benefits package includes comprehensive mindfulness programs, volunteer paid time off, employee assistance programs, personalized wellbeing programs, on-demand professional development courses, and other local benefits. At Rockwell Automation, we are committed to fostering a diverse, inclusive, and authentic workplace. If you are enthusiastic about this role but do not meet every qualification in the job description, we encourage you to apply as you might be the right fit for this position or other roles. Rockwell Automation's hybrid policy mandates employees to work at a Rockwell location at least on Mondays, Tuesdays, and Thursdays unless they have a business obligation elsewhere.,

Aera Technology is revolutionizing enterprise decision-making. Our AI-driven platform, Aera Decision Cloud, integrates seamlessly with existing systems to digitize, augment, and automate critical business decisions in real-time. Aera helps global enterprises transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the world's best-known brands. We are looking for a Product Manager - Data to lead the evolution of our core Decision Intelligence capabilities. You will redefine how organizations harness data and AI to drive smarter, faster, and more sustainable decision-making. This is an exciting opportunity to be at the forefront of enterprise AI innovation, collaborating with a dynamic team in a fast-paced, startup-like environment. This role will be based in our Pune office. Responsibilities As a Product Manager, you will own the strategy, development, and execution of key platform components required for building a Decision Data Model which enables enterprises to build powerful AI-driven workflows. Lead product strategy & execution: Define and drive priorities, roadmap, and development efforts to maximize business value. Understand market needs: Research target users, use cases, and feedback to refine features and address customer pain points. Analyze competitive landscape: Stay ahead of industry trends and competitors to inform product differentiation. Define product requirements: Work closely with designers and engineers to develop user-centric, scalable solutions. Collaborate cross-functionally: Partner with Customer Success, Engineering, and Executive teams to align on vision and priorities. Drive user adoption: Act as the go-to expert, ensuring internal teams are equipped with the knowledge and resources to enable customers. About You You are passionate - you are your product's biggest advocate, and its biggest critic. You will ceaselessly pursue excellence and do whatever it takes to deliver a product that users love and that delivers value. You are pragmatic - you know when to focus on nuanced details, and when to bring a more strategic perspective to the table. You love to learn - you continually gather new information, ideas, and feedback, and you seek to understand the root of an issue, in order to identify an optimal solution. You are a master at communication and collaboration - not only can you communicate a compelling vision or a complex concept, but you also know how to motivate a team to collaborate around a problem and work toward a common goal. Experience At least 2 yrs of B2B SaaS PM experience Mandatory. Experience in data infrastructure, AI/ML platforms, or enterprise data products. Knowledge of data modeling, SQL, and ETL/ELT processes. Knowledge of data quality, metadata management, data lineage, and observability is a plus. Bachelor's degree in Engineering/Computer Science or a related technical discipline. If you share our passion for building a sustainable, intelligent, and efficient world, you're in the right place. Established in 2017 and headquartered in Mountain View, California, we're a series D start-up, with teams in Mountain View, San Francisco (California), Bucharest and Cluj-Napoca (Romania), Paris (France), Munich (Germany), London (UK), Pune (India), and Sydney (Australia). So join us, and let's build this! Benefits Summary At Aera Technology, we strive to support our Aeranauts and their loved ones through different stages of life with a variety of attractive benefits and great perks. In addition to offering a competitive salary and company stock options, we have other great benefits available. You'll find comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance, paid time off, Maternity leave, and much more. We offer unlimited access to online professional courses for both professional and personal development, coupled with people manager development programs. We believe in a flexible working environment to allow our Aeranauts to perform at their best, ensuring a healthy work-life balance. When you're working from the office, you'll also have access to a fully-stocked kitchen with a selection of snacks and beverages.,

As a Backend Developer at our company, you will utilize your expertise in Go, Java, or Scala to contribute to the development of cutting-edge AI/ML platforms. Your proficiency with Google Cloud Platform (GCP) will be instrumental in designing and developing microservices on Kubernetes. Additionally, your experience with frontend technologies such as TypeScript and JavaScript frameworks like React will play a crucial role in creating scalable and secure enterprise applications. You will have the opportunity to dive deep into technology and complex distributed systems, showcasing your ability to tackle challenging projects with precision. Your role will involve collaborating with a diverse team of talented individuals in a collaborative environment where innovation thrives. Whether working locally or globally, you will have the chance to expand your skill set and work on exciting projects across various industries such as High-Tech, communication, media, healthcare, retail, and telecom. At our company, we prioritize work-life balance by offering flexible work schedules, opportunities for remote work, and generous paid time off and holidays. Additionally, we provide a range of professional development opportunities, including communication skills training, stress management programs, professional certifications, and technical and soft skill trainings to support your growth. We value our employees and offer competitive salaries, family medical insurance, various insurance benefits, retirement savings options, extended maternity leave, performance bonuses, and referral bonuses. In addition to these benefits, we provide a fun and vibrant work environment with sports events, cultural activities, subsidized food options, corporate parties, and discounts at popular stores and restaurants. Joining GlobalLogic means becoming part of a leading digital engineering company that collaborates with global brands to create innovative products and digital experiences. With a focus on experience design, complex engineering, and data expertise, we help our clients envision the future and drive their digital transformation across multiple industries worldwide. Headquartered in Silicon Valley and operating globally, GlobalLogic is a Hitachi Group Company known for its commitment to innovation and sustainability through data and technology. As part of our team, you will be at the forefront of shaping tomorrow's digital businesses and contributing to a more sustainable society with a higher quality of life.,

You should have a Bachelors/Masters degree in computer science or engineering with a focus on language processing. With at least 7+ years of experience, you should have exposure to NLP and relevant projects. It is essential to have experience with AI/ML platforms, frameworks, and libraries, along with knowledge in relevant programming languages, development tools, and databases. Proficiency in programming in Python, Pytorch, and tensorflow is required. Your role will involve understanding NLP techniques for text representation, semantic extraction techniques, data structures, and modeling. You should be capable of writing and building components to integrate into new or existing systems. Documentation experience for complex software components is necessary. Experience in implementing the product lifecycle - design, development, quality, deployment, and maintenance is expected. A strong background in machine learning, operations, automation, features, data, ML, ops, performance, management, and stores is essential for this role. You should be able to convert a business problem into a data-driven ML solution, develop, manage, and architect ML and advanced analytics models. Additionally, you should examine data from multiple sources and share insights. You should be ready to work within a collaborative environment with teams and possess creative thinking skills for identifying new opportunities.,

As a Data and Software Engineer at Barclays, you will be responsible for building and maintaining systems that collect, store, process, and analyze data. This includes developing data pipelines, data warehouses, and data lakes to ensure accuracy, accessibility, and security of all data. To succeed in this role, you should have experience in developing responsive web interfaces and complex UI using technologies like HTML5, CSS3, SCSS, JavaScript (ES6+), and Angular 16+. Proficiency in Angular, React, TypeScript, JavaScript, and CSS/SCSS is essential. Additionally, experience with visualization tools like HiCharts, D3.js, or Chart.js is highly valued. Candidates with a deep understanding of design systems, component libraries, and front-end architecture will be preferred. Experience in designing for AI/ML platforms, data-heavy dashboards, or GenAI interfaces using tools like Figma or Adobe XD is desirable. In this position based in Pune, your key responsibilities will include building and maintaining data architecture pipelines, designing data warehouses and data lakes, developing processing and analysis algorithms, and collaborating with data scientists on machine learning models. Depending on the leadership level, you may be expected to contribute to strategy setting, resource planning, and policy management. If in a leadership role, you should demonstrate leadership behaviors such as listening, inspiring, aligning, and developing others. For individual contributors, being a subject matter expert, guiding technical direction, and training less experienced specialists will be crucial. Overall, all colleagues at Barclays are expected to embody the company values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive in their daily actions.,

You are an experienced Solution Architect with a solid background in software architecture and a good understanding of AI-based products and platforms. Your main responsibility will be to design robust, scalable, and secure architectures that support AI-driven applications and enterprise systems. In this role, you will collaborate closely with cross-functional teams, including data scientists, product managers, and engineering leads, to ensure the alignment of business needs, technical feasibility, and AI capabilities. Your key responsibilities will include architecting end-to-end solutions for enterprise and product-driven platforms, such as data pipelines, APIs, AI model integration, cloud infrastructure, and user interfaces. You will guide teams in selecting appropriate technologies, tools, and design patterns for building scalable systems. Additionally, you will work with AI/ML teams to understand model requirements and facilitate their smooth deployment and integration into production environments. In this role, you will define system architecture diagrams, data flow, service orchestration, and infrastructure provisioning using modern tools. Furthermore, you will collaborate with stakeholders to translate business requirements into technical solutions, emphasizing scalability, performance, and security. Your leadership will be crucial in promoting best practices for software development, DevOps, and cloud-native architecture. You will also conduct architecture reviews to ensure compliance with security, performance, and regulatory standards. To be successful in this role, you should have at least 10 years of experience in software architecture or solution design roles. You should demonstrate expertise in designing systems using microservices, RESTful APIs, event-driven architecture, and cloud-native technologies. Hands-on experience with major cloud providers like AWS, GCP, or Azure is essential. Familiarity with AI/ML platforms and components, data architectures, containerization, DevOps principles, and the ability to lead technical discussions are also required skills. Preferred qualifications include exposure to AI model lifecycle management, infrastructure-as-code tools like Terraform or Pulumi, knowledge of GraphQL, gRPC, or serverless architectures, and previous experience in AI-driven product companies or digital transformation programs. In return, you will have the opportunity to play a high-impact role in designing intelligent systems that drive the future of AI adoption. You will work alongside forward-thinking engineers, researchers, and innovators, with a strong focus on career growth, learning, and technical leadership. The compensation offered is competitive and reflective of the value you bring to the role.,