ML OPS Jobs in Bengaluru

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Job Title: AI/ML Architect Location: Bangalore, India Experience: 15 17 Years Employment Type: Full-Time Overview: We are seeking an experienced AI/ML Architect with 15 17 years of overall experience, including 2 3 years in project management. This strategic role requires deep expertise in AI/ML technologies, enterprise AI architecture, and hands-on delivery of cutting-edge solutions such as autonomous AI agents and generative AI platforms. The architect will lead the design, proposal, and execution of AI-driven solutions across diverse client engagements. Key Responsibilities: Solution Architecture & Design: Design and evolve robust AI/ML architectures incorporating autonomous agents, scalable business intelligence, and generative AI. Collaborate with cross-functional teams (data scientists, ML engineers, UX designers, and business strategists) to convert business needs into technical designs. Evaluate emerging technologies, frameworks, and trends to guide architectural roadmaps and innovation strategies. RFP Response & Proposal Development: Lead the technical response for RFPs, creating solution frameworks that align with client objectives and industry standards. Draft detailed technical proposals, use cases, and presentations to demonstrate the business value and ROI of AI solutions. Partner with sales and business teams to align proposals with market needs and positioning. Project Delivery & Technical Leadership: Oversee full AI/ML solution lifecycles from architecture design to deployment and monitoring ensuring compliance, quality, and performance. Provide hands-on guidance and mentorship to technical teams, promoting best practices in data science, ML model development, and deployment pipelines. Manage project schedules, resource planning, and risk mitigation for successful delivery outcomes. Stakeholder & Cross-Functional Collaboration: Act as the primary technical liaison across teams, ensuring stakeholder alignment on vision, progress, and technical challenges. Conduct technical workshops, reviews, and solution demos to showcase innovation and architectural decisions. Innovation & Continuous Improvement: Monitor industry trends, publications, and competitor offerings to integrate innovative features into AI/ML initiatives. Continuously refine and optimize existing platforms, ensuring scalability, performance, and user-centricity. Required Skills & Qualifications: 15 17 years of overall experience with 2 3 years in a leadership/project management role. Strong track record in AI/ML architecture, especially with autonomous agent systems, enterprise AI, and generative AI technologies. Proficient in modern AI/ML frameworks (TensorFlow, PyTorch, etc.), data pipelines, and cloud platforms (AWS, Azure, GCP). Experience designing and implementing end-to-end AI solutions in complex, data-driven environments. Demonstrated success in crafting technical proposals and responding to RFPs. In-depth knowledge of NLP, deep learning, traditional ML, and AI product integration. Effective project and stakeholder management skills; able to balance priorities across multiple projects. Excellent communication and presentation skills, with the ability to articulate AI value to technical and non-technical stakeholders.

Job Title: Product Analyst Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is transforming how businesses engage customers through human-level AI on WhatsApp. As part of Y Combinator's W21 cohort, we support over 300 top brands like HUL, ITC, Wow Skin Science, and Piramal Health. Our Gen AI agents are driving millions of interactions daily, now expanding into high-stakes sectors like BFSI, Healthcare, and Retail. At LimeChat, we operate like an elite sports team driven, mission-focused, and constantly raising the bar. If you re passionate about data and want to make a measurable impact in a high-growth AI startup, this is your moment. About the Role We're looking for a Product Analyst who will turn complex product data into clear, actionable insights. This role offers end-to-end ownership from designing metrics and running experiments to influencing roadmap decisions. You'll work closely with PMs, engineers, and designers to guide product development and help answer tough questions through data. If you're experienced in analytics, crave ownership, and thrive in fast-paced environments, we want to hear from you. Responsibilities Product & User Analytics Map user journeys to uncover friction in activation, engagement, and retention. Run deep-dive analyses: retention curves, funnel breakdowns, cohort analysis. Design, execute, and analyze A/B tests to validate hypotheses. Create lightweight forecasting models for revenue and payback predictions. Collaborate with PMs to define and track North-Star and supporting metrics. Self-Serve Insights Build and manage Metabase / Looker dashboards for internal teams. Automate reporting for product reviews and roadmap discussions. Maintain clear documentation of metrics, definitions, and data models. Cross-Functional Collaboration Share insights with Growth and CS teams to help drive upsells and prevent churn. Partner with Engineering on event tracking and data QA. Support executive reporting by prepping investor decks and board metrics. Must-Haves 1 2 years in a product analytics, growth analytics, or product ops role. Strong hands-on SQL skills and experience with a BI tool (e.g., Metabase, Looker, Power BI). Comfortable turning ambiguous product questions into clear metrics and explanations. Solid understanding of core metrics like DAU/WAU/MAU, retention, LTV, CAC, payback. Proactive, detail-oriented, and highly outcome-driven. Nice-to-Haves Experience with SaaS or B2B analytics, especially in chatbots or CX automation. Exposure to Python or R for deep-dive analysis or ML experimentation. Understanding of financial metrics and product-led revenue dashboards. Perks & Benefits Unlimited PTO & sick leave Free lunch and snacks Subsidized fitness membership Pet-friendly office Annual team retreat You won t just be running dashboards you ll be shaping product decisions, owning metrics end-to-end, and influencing the roadmap of an AI company at the cutting edge of conversational commerce. This is a career-defining opportunity to grow fast, work with a high-caliber team, and make measurable impact at scale.

AI/ML Engineer - Bengaluru, India Experience: 4 to 6 years About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting. Operating in 65 countries with over 230,000 employees, Wipro helps organizations achieve digital transformation through innovative, future-ready solutions. Role Overview We are hiring an experienced AI/ML Engineer to work on advanced machine learning and Generative AI solutions. You will design prompt engineering pipelines, develop ML models using frameworks like TensorFlow and PyTorch, and deliver scalable backend services using Python and Django. Key Responsibilities Design and implement GenAI-based use cases using prompt engineering techniques Build REST APIs and scalable microservices using Python and Django Evaluate GenAI model performance and implement guardrails Deploy applications to Azure or AWS cloud environments Lead prompt lifecycle management including tuning, templating, and optimization Ensure integration with databases and external APIs Use CI/CD tools for continuous deployment (Azure DevOps, Jenkins, Ansible, Terraform) Mandatory Skills Python, Django, REGEX AI/ML, Deep Learning, NLP TensorFlow, PyTorch Generative AI, LLMs, RAG Pipelines REST API development Preferred Skills API Gateways: WSO2, KONG, nginx Apache HTTP Server Azure DevOps, Ansible, Jenkins, Terraform Databricks Additional Requirements Understanding of OOP, design patterns, and scalable architecture Familiarity with Docker and version control tools like GitHub or Bitbucket Team leadership in prompt engineering and stakeholder engagement Knowledge of secure prompt design to mitigate injection or leakage risks Join a forward-thinking digital transformation company where your ideas shape the future. We value diversity, innovation, and continuous learning. Applications from individuals with disabilities are highly encouraged.

Gen AI AWS Engineer | Bengaluru, India Experience: 8 10 Years Mandatory Skills: AWS, Generative AI About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in consulting and technology services with over 230,000 employees across 65 countries. We provide digital transformation solutions that are innovative, sustainable, and scalable. Role Overview We are hiring a highly skilled Gen AI AWS Engineer to lead the architecture, development, and delivery of AI-driven cloud solutions. This role focuses on leveraging AWS infrastructure and Generative AI technologies to solve complex business problems at scale. Key Responsibilities Architecture and Solution Design Design and implement scalable AI/ML solutions using AWS and GenAI frameworks. Lead solution design for enterprise initiatives and RFPs. Develop architectural documentation and reusable design patterns. Evaluate current architectures and recommend improvements and modernization plans. Delivery Enablement Provide frameworks and technical direction to development teams. Monitor project risks and propose mitigation strategies. Ensure alignment with architecture principles and best practices. Client Engagement Participate in pre-sales activities and client presentations. Build trusted relationships with clients by demonstrating technical thought leadership. Coordinate with stakeholders to ensure successful delivery of AI solutions. Innovation & Competency Building Create PoCs, whitepapers, and solution demos in GenAI and AWS domains. Represent Wipro s capabilities at industry events and internal forums. Mentor junior architects and contribute to internal upskilling initiatives. Team Management Recruit, train, and retain high-performing AI/ML engineers. Conduct performance reviews and set goals for team members. Drive employee engagement and diversity across the architecture team. Be part of a company that thrives on innovation, reinvention, and purpose. Work with cutting-edge Generative AI solutions and lead impactful transformations for global clients. Applications from individuals with disabilities are explicitly welcome.

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." - George Kurian, CEO Job Summary We are looking for a Software Engineer to join our Performance Engineering Infrastructure team. We work on developing tools and automation frameworks that make ONTAP the most performant storage operating system. As an engineer on our team, you will work as part of a dynamic, innovative, and fun team responsible for developing frameworks that help build performance models and performance benchmarks to measure, analyze, visualize, and improve ONTAP performance. You will work on developing new and/or enhancing existing tools focused on performance aspects of the ONTAP software stack. This is a great opportunity to solve challenging, complex problems with immediate applications in a high-growth sector of the tech industry. If you like creative problem-solving, are willing to constantly learn new technologies, and have a getting things done attitude, you may be just the person we re looking for! Job Requirements Proficient in Python and Python-based web frameworks. Knowledge of other scripting languages like Perl, Shell, and Expect is a plus. Experience in building/supporting automation frameworks (generally Python-based) and tools to measure and improve performance of complex software stacks. Demonstrated ability to learn new software stacks and be able to quickly prototype ideas. Experience with GenAI, AI/ML frameworks, and tools such as TensorFlow, PyTorch, LangChain, etc. will be a very strong advantage. Experience in big data technologies like Spark, Hadoop, and distributed storage systems for handling large-scale datasets will be a plus. Basic understanding of orchestration frameworks like Kubernetes and containerization technologies like Docker will be a plus. Knowledge of data storage systems and file systems will be a plus. Ability and willingness to adapt to a rapidly changing work environment and willingness to take on additional tasks and responsibilities. Education 5 or more years of related experience. A Bachelor of Science degree in Computer Science Engineering, a Master s Degree, or a PhD. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you. We are all about helping customers turn challenges into business opportunities. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favorite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. Qualification : A Bachelor of Science degree in Computer Science Engineering, a Masters Degree, or a PhD.

Description AI Cloud Team @Salesforce is looking for talented Senior Manager like you to to lead an exceptional engineering team in transforming the customer service landscape. Salesforce AI Cloud team brings the revolutionary AI technology to Salesforce CRM business at scale. The platform and application teams ( like Einstein Bots) under AI Cloud is looking for a Sr Manager to lead an exceptional engineering team to build and enhance the chatbots, ML models and services. You will leverage your experience in the areas of ML/NLP to help develop and refine our AI strategy and products like Einstein Bots, scaling the AI and ML services and ML Ops deployment pipelines while ensuring our stringent data privacy, security, residency, and compliance goals. Our mission is to deliver rich and compelling conversational experiences through multiple channels, enabling users to resolve issues faster and enhancing brand engagement and satisfaction. We're not just about development; we're about end-to-end ownership, directly improving customer experiences through a fast user feedback cycle. You'll be part of an industry-leading enterprise solution that leverages AI to automate customer service requests through friendly conversational interfaces, directly impacting millions of users worldwide.If you're passionate about AI, customer service experience, and making a real impact, the AI Cloud team is the place for you. Join us on this exciting journey of innovation and transformation. What You ll Do: Collaborate with Salesforce AI Cloud leaders to co-create and refine the AI strategy and roadmap. Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineer. Lead the design, development and maintenance of high-quality and highly available AI/ML models, services and ML Ops deployments, chatbot solutions etc. Partner with Product Managers and Technical Program Managers to closely track progress across multiple work-streams while delivering goals for varying stakeholders. Prioritize retaining and attracting top talent, continuously invest in the development of high-performing teams, and passionately champion the success of both the team and its individual members. Be the service owner and ensure that our services are reliable and consistently available. Collaborate with cross-functional teams to ensure that high availability is a priority in all stages of development and deployment. Promote a culture of open communication and support within the team ensuring all voices are heard and the team is fostering a collaborative environment. Drive continuous improvement initiatives by identifying inefficiencies and developing solutions to enhance quality, reduce costs, and improve timelines. Daily management of stand-ups as the Scrum Master for engineering teams. Occasionally chipping in to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical skill sharp Required Skills: A related technical degree required. 12+ years experience building, scaling and maintaining large scale, complex AI products and/or services in the B2B (or B2C) SaaS industry. This experience should include building and sustaining large-scale solutions that operate around the clock, 24/7. 5+ years of people management experience, with at least 3+ years in leading teams focused on AI/ML initiatives. Knowledge and understanding of SaaS, PaaS, IaaS industry with hands-on experience of public cloud offerings (AWS, GAE, Azure). Experience in SaaS incident management, handling customer escalations and proactively working with customer success teams. Knowledge of professional software engineering best practices including coding standards, code reviews, source code management, continuous integration, build processes, testing, and operations. Experience with agile development methodologies is a must, and ScrumMaster experience is highly preferred. Exceptional verbal and written communication skills, along with strong organizational and project management abilities, and the capacity to work effectively in a distributed team setting. Passionate about engineering productivity, service ownership and customer success. Ability to be nimble, proactive, comfortable working with minimal specifications. Preferred Skills: Strong knowledge of Salesforce product and platform features, capabilities, and best use of it. Experience with NLP techniques and tools for text analysis and processing. Experience with cutting-edge machine learning techniques such as reinforcement learning, GANs, and advanced neural network architectures. Expertise in generative AI technologies, including experience with models such as GPT, DALL-E, and other generative adversarial networks (GANs). A track record of publications in top-tier conferences or journals and/or patents in the field of machine learning or data science. Knowledge of best practices and regulations around data privacy and security, such as GDPR, HIPAA, or CCPA. Ability to work with multilingual data sets and develop models that can handle multiple languages. Qualification : A related technical degree required.

General Manager Healthcare RCM Operations Job Category: Management Location: Bangalore Job Overview We are seeking an experienced General Manager Healthcare RCM Operations to lead end-to-end Revenue Cycle Management (RCM) operations across multiple clients. This leadership role is responsible for strategic planning, operational excellence, client management, team leadership, compliance, and financial performance, ensuring efficiency, accuracy, and client satisfaction in all RCM functions. Key Responsibilities Strategic Leadership Drive strategy, planning, and execution across all RCM functions including patient access, billing, coding, charge capture, claims processing, payment posting, AR follow-up, and denial management. Develop and implement initiatives to improve collections, reduce denials, and optimize cash flow. Align operational strategies with client expectations, regulatory compliance, and industry best practices. Operational Excellence Oversee large-scale RCM operations across multiple clients/accounts. Monitor key performance indicators (AR days, clean claim rate, denial rate, net collection rate, etc.) and drive continuous improvement. Implement process automation and digital transformation initiatives to enhance operational efficiency. Client & Stakeholder Management Serve as the primary point of contact for client leadership. Build strong client partnerships, ensuring SLAs, TATs, and quality standards are consistently met or exceeded. Manage escalations and drive resolutions with a client-focused approach. Team Leadership Lead, mentor, and inspire a large team of managers, SMEs, and associates across functions. Hire, train, and develop leadership talent to ensure a strong succession pipeline. Promote employee engagement, retention, and a performance-driven culture. Compliance & Quality Ensure strict adherence to HIPAA, CMS guidelines, and client-specific compliance requirements. Establish and maintain robust internal controls and audit processes. Collaborate with Quality and Training teams to maintain high accuracy and performance standards. Financial Management Own the P&L for assigned accounts and operations. Drive cost optimization initiatives without compromising service quality. Provide accurate financial forecasts, budgets, and performance reports to leadership. Key Skills & Competencies Deep expertise in US healthcare RCM (front-end to back-end). Strong knowledge of payer rules, coding guidelines, and HIPAA compliance. Proven experience in managing large-scale operations (250+ FTEs). Client-facing leadership with the ability to build CXO-level relationships. Data-driven decision-making with strong analytical and problem-solving skills. Experience driving digital transformation and automation (RPA, AI in RCM). Excellent communication, negotiation, and stakeholder management capabilities. Success Metrics Improvement in collections and AR performance. Reduction in denials and operational errors. Achievement of SLA and client satisfaction targets. Strong employee retention and a robust leadership pipeline. Profitability and cost optimization in line with business objectives.

Job Title: AI/ML Engineer Location: Bangalore Experience: 4 5 Years Qualification: Bachelor s or Master s Degree in Computer Science or a related field Job Description Design and develop machine learning and deep learning systems tailored to business needs. Select and preprocess appropriate datasets; implement and optimize ML algorithms. Conduct machine learning experiments, run tests, and perform statistical analysis to fine-tune models. Train, retrain, and maintain ML systems to ensure accuracy and performance. Extend and customize existing ML libraries and frameworks. Stay updated with the latest research and advancements in machine learning and AI. Requirements Proven experience as a Machine Learning Engineer or similar role. Strong understanding of data structures, data modeling, and software architecture. Deep knowledge of mathematics, probability, statistics, and algorithms relevant to ML. Proficiency in writing clean, robust code in Python. Experience with ML frameworks such as TensorFlow or PyTorch, and libraries like scikit-learn. Skilled in deploying ML models and developing APIs for production environments. Experience with AWS cloud and ML services; knowledge of SageMaker is a plus. Qualification : Bachelors or Masters Degree in Computer Science or a related field

Red Team Hacker / Pen Tester (Onsite, Bangalore) Who We Are ColorTokens We re on a mission to keep businesses running safe and sound even when cyber attackers try to mess things up. Our next-gen platform, ColorTokens Xshield , stops ransomware and malware from spreading sideways inside companies, so critical stuff stays locked down and working. We ve got mad skills in spotting and controlling traffic between all kinds of devices and users from your typical laptops to IoT and medical gadgets. That means we can slice and dice security zones to keep bad actors contained. Forrester calls us a Leader in Microsegmentation (Q3 2024), and we help global companies avoid big $$$ downtime. Our Vibe We re all about hustling with heart. You ll get to own your projects, work with smart teammates, and solve tough problems that actually protect people from kids in hospitals to entire cities. If you re driven, curious, and ready to make a real impact, you ll fit right in. The Gig What You ll Do Run epic red team ops that mimic real-world hackers trying to break in. Hack (ethically!) into networks, apps (web, mobile, APIs), and cloud setups to find weaknesses. Build your own scripts and tools to level up your tests and dodge detection. Team up with defenders (blue team) to boost how we spot and stop attacks. Write clear, no-fluff reports with proof-of-concept hacks and smart fixes. Keep your finger on the pulse of the latest threats and hacker tricks. Jump into purple teaming and adversary simulations to sharpen our edge. Bachelor s in Cybersecurity, CS, or you ve got real-world chops that match. 6+ years deep in red teaming, pentesting across web, APIs, infrastructure, and cloud. Pro with tools like Cobalt Strike, Metasploit, Nessus, Burp Suite, Nmap, and scripting (Python/PowerShell/Bash). Solid grasp of MITRE ATT&CK, threat modeling, and adversary emulation. Know Windows & Linux inside out, Active Directory, plus cloud platforms (AWS, Azure, GCP). Bonus points if you re into social engineering, phishing, or physical security. Skilled at writing docs that actually make sense. Must-have certifications: OSCP is a must; CRTP, OSCE, OSEP, CRTE, GPEN, GXPN are pluses. Qualification : Bachelor's degree in Cybersecurity, Computer Science, or related field (or equivalent experience).

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, or a related field.

Position: AI Solutions Architect Location: Bangalore, India Shift: 2 PM to 11 PM IST (supporting EMEA/US business hours) About Workato Workato is a global leader in enterprise orchestration, leveraging AI-powered automation to streamline complex workflows across data, processes, and applications. Recognized by Business Insider, Forbes, Deloitte, and Quartz, Workato fosters an innovative, flexible, and trust-driven culture, empowering employees to own their work and grow alongside a vibrant team. Join a fast-growing tech company celebrated for innovation and remote work culture. Collaborate in a diverse, inclusive environment focused on continuous improvement. Impact the future of AI-driven business automation on a global scale. Your Responsibilities Architect and develop advanced agent-based AI solutions exhibiting autonomous, adaptive, and proactive behaviors. Design techniques for large language models (LLMs) to author complex AI behaviors reliably. Provide technical expertise, advising clients and internal teams on AI workflows and integration. Tailor and deploy AI-powered IT workflows that are scalable, fault-tolerant, and aligned with enterprise best practices. Collaborate across teams to integrate AI automation into existing IT infrastructures. Deliver custom product demos and support sales and product teams. Contribute to internal knowledge bases and continuously improve processes. Support product ideation through to implementation stages, working closely with product managers. What You ll Need BTech/BE or higher in Computer Science, AI, ML, or related field. 12+ years of relevant experience in AI solution design, development, and deployment. Proven expertise in AI engineering focused on agent-based systems. Strong background in integration projects with hands-on experience in middleware, APIs (REST/SOAP), SOA, ESB, BPM, and databases (RDBMS/NoSQL). Coding experience (2-3 years) in Java, Python, or Ruby. Experience with integration platforms (TIBCO, Dell Boomi, MuleSoft) and cloud technologies (iPaaS, SaaS) is a plus. Familiarity with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, or Marketo is advantageous. Knowledge of microservices, event-driven architecture, process automation (BPM/RPA) is a plus. Personal Attributes Collaborative mindset and ability to thrive in a dynamic startup environment. Strong analytical and critical thinking skills with entrepreneurial initiative. Effective time management and prioritization, even under pressure. Excellent communication skills to convey complex ideas clearly to non-technical audiences. Proactive problem solver and fast learner who can conduct deep research independently. Qualification : BTech/BE or higher in Computer Science, AI, ML, or related field.

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Backend Engineer - RAG & ML Specialization Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup based in Bengaluru, India, on a mission to make AI accessible and impactful for Bharat. We develop high-performance, cost-effective AI agents tailored to the Indian market, empowering enterprises to unlock new opportunities and create meaningful customer connections. Join us as we reshape AI for India and beyond. Role Overview As a Backend Engineer specializing in RAG (Retrieval-Augmented Generation) systems and Machine Learning (ML) applications, you'll be building scalable backend systems that power AI-driven services. Your work will be critical in developing high-performance platforms for voice and generative AI applications, ensuring secure, scalable, and seamless AI model deployments. Key Responsibilities Backend Development: Design, develop, and maintain scalable, efficient backend applications and RESTful APIs using Python and FastAPI. RAG System Implementation: Build and optimize Retrieval-Augmented Generation (RAG) systems for AI applications, focusing on enhancing AI-driven search and retrieval capabilities. Data Pipeline Management: Develop and manage data pipelines and workflows for integrating AI and ML models into production systems. Code Quality: Ensure adherence to coding best practices, including writing modular code, implementing unit tests, and conducting code reviews. Cross-functional Collaboration: Work closely with AI/ML engineers, data scientists, and other teams to integrate machine learning models into backend systems. Database Optimization: Optimize database queries and efficiently manage both structured and unstructured data. CI/CD Practices: Continuously integrate and deploy code, using version control systems like Git and CI/CD pipelines. System Architecture: Contribute to architectural discussions and improvements, focusing on scalability and performance optimization. Must-Have Skills & Qualifications Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field. Programming Skills: Strong proficiency in Python, with a solid understanding of programming fundamentals. Web Frameworks: Experience building backend services using FastAPI, Flask, or Django. Database Knowledge: Familiarity with SQL operations and NoSQL databases for efficient data management. AI & ML Exposure: Hands-on experience with Machine Learning and Deep Learning techniques, and understanding of AI model deployment in production environments. RAG Systems Experience: Prior exposure to Retrieval-Augmented Generation (RAG) architectures, with experience building AI-driven search systems. Version Control: Proficiency with Git and understanding of version control workflows. Problem Solving: Strong analytical and debugging skills to address complex technical challenges. Soft Skills: Excellent communication, collaboration, and problem-solving abilities. Good to Have (Preferred Experience) Backend Projects: Demonstrated experience working on backend applications using Python frameworks (FastAPI, Flask, Django) through academic or personal projects. Cloud Knowledge: Basic understanding of cloud platforms and services such as AWS, GCP, or Azure. DevOps & Containers: Exposure to Linux/Unix environments and containerization concepts (Docker, Kubernetes). CI/CD: Experience setting up CI/CD pipelines for automated testing and deployment. Open Source Contributions: Contributions to open-source projects or a strong GitHub profile showcasing backend development expertise. Impactful Work: Work on groundbreaking generative AI applications that are transforming the future of technology in India. Collaborative Environment: Join a high-performing team of AI experts and engineers, driving innovation and delivering real-world solutions. Growth Opportunities: Be a key player in a fast-growing AI startup, with the opportunity to grow alongside the company. Cutting-edge Technologies: Leverage the latest in AI, Machine Learning, and Cloud Technologies to build state-of-the-art systems. Qualification : Bachelor's degree in Computer Science, Engineering, or a related technical field.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Job Description: As the Sales Operations Manager for the SA segment at Lenovo, you will play a pivotal role in optimizing sales efficiency and effectiveness across the sales teams. You will be responsible for handling multidimensional data, preparing reports, and tracking sales performance. You will work closely with sales managers and leaders, providing them with the necessary insights and tools to stay on top of business objectives. Additionally, you will be the subject matter expert for sales tools and systems, collaborating with the AP sales enablement team to optimize system features, user interface, and tool navigation. You will support the segment head with business reviews, BMS, and cadences, while also driving initiatives and tracking performance at the account level. 1.1.1. Responsibilities: 1. Sales Performance Optimization: Analyze sales data and prepare reports to track and improve sales performance. Enable sales teams and managers with the right tools, reports, and insights to help them meet targets. Work closely with sales managers to ensure they are equipped to drive sales efficiently. 2. Sales Tools and System Enablement: Act as a subject matter expert for sales tools and systems. Work with the AP sales enablement team to provide feedback on system features, user interface, and tool navigation to ensure optimal sales effectiveness. 3. Business Reviews and Cadence: Support the segment head in conducting business reviews, BMS (Business Management System), and cadences. Track action items and drive initiatives to meet business goals and KPIs for the SA segment. 4. Account Level Performance Management: Manage the account list and track account-level performance to identify areas of improvement. Collaborate with sales leadership to track and improve account performance. 1.1.2. Key Requirements: Strong analytical skills with the ability to handle and interpret large data sets. Deep knowledge of sales tools, systems, and best practices for enabling sales teams. Ability to collaborate with multiple stakeholders and drive system optimization efforts. Strong communication skills to support reviews, cadences, and cross-functional collaboration. Proven ability to track, manage, and improve sales performance at the account level. 1.1.3. Why Work at Lenovo: Lenovo is a global technology leader, committed to building smarter technology for everyone. With a revenue of US$57 billion, we are ranked #248 in the Fortune Global 500, and we continue to innovate and expand our portfolio of AI-enabled devices, infrastructure, software, solutions, and services. Join us to make a meaningful impact on a growing company and help shape the future of technology.

Role Overview: As a Service Delivery Ops Associate Manager in the Procure-to-Pay (P2P) function, specifically focused on Accounts Payable Processing, you will lead the end-to-end management of P2P portfolios and partner with various key areas within Finance. Your role will involve overseeing the accounts payable process, fostering innovation, and driving improvements within the P2P operation to achieve efficiency, cost savings, and process optimization. You will manage teams, mentor staff, and leverage technology to ensure streamlined financial operations, optimized supplier management, and enhanced vendor compliance. Key Responsibilities: Lead P2P Operations: Oversee all aspects of the Procure-to-Pay (P2P) portfolio, ensuring the timely and accurate processing of invoices, purchase orders, and payments. Lead activities related to Vendor Services, Costing, EDI, Vendor Audits, and Vendor Income. Supplier Management Strategy: Develop and implement strategies to improve end-to-end supplier management, enhancing supplier relationships and ensuring compliance with procurement terms. Innovation and Process Improvement: Foster a culture of innovation and continuous improvement within the team. Encourage cross-departmental collaboration to drive process optimization and experiment with new solutions to enhance efficiency. Financial Period Closure: Lead and ensure effective controls are in place for period-end closure within the Procure-to-Pay process, ensuring smooth financial reporting and accounting processes. Team Leadership and Mentorship: Offer guidance, mentorship, and support to the P2P team to achieve departmental goals and objectives. Develop your team s skill set and foster a positive and high-performance work environment. Vendor Compliance & Savings: Manage vendor compliance, capture discounts using preferred suppliers, confirm pricing and terms before payments are made, and minimize savings erosion. Technology Utilization & Data Analysis: Leverage technology and data analytics for business insights and to streamline operational processes. Use SAP FI Accounts Payable and other tools for invoice processing and reporting. Cross-functional Collaboration: Work closely with business partners and key stakeholders within Finance to continuously optimize and streamline Procure-to-Pay operations. Order & Financial Process Oversight: Oversee the entire procurement cycle, from requisitioning to purchasing, receiving, and accounting for goods and services. Ensure that the procurement and financial processes are effectively sequenced and integrated. Required Skills and Qualifications: Educational Qualifications: Bachelor s (BBA) or Master s (MCom) in Commerce or a related field. Experience: 10 to 14 years of experience in Procure to Pay, specifically in Accounts Payable Processing or related financial operations. Key Competencies: Strong knowledge of Accounts Payable processing, Invoice Processing, and Payment Processing operations. In-depth experience with SAP FI Accounts Payable and other financial systems. Proven ability to lead teams and manage medium-sized to small teams, influencing performance and driving results. Excellent analytical skills to analyze data and resolve moderately complex problems. Strong problem-solving abilities and a proactive approach to continuous improvement. Ability to adapt and be flexible in a fast-paced, dynamic work environment. Exceptional communication and collaboration skills to work with cross-functional teams and external partners. Core Responsibilities: Develop and execute process strategies for accounts payable and procurement operations. Take ownership of financial closures within the P2P cycle and ensure timely and accurate reporting. Maintain high vendor compliance and secure savings through optimal supplier management. Additional Information: Shift Requirements: This role may require working in rotational shifts, depending on business requirements. Location: This position is based at Accenture s office. Qualification : BBA/BCom/MCom