Machine Learning OPS Hkj1Pqnayn at Planful

Working at Atlassian At Atlassian, we give our employees the flexibility to choose their work environment whether it s in the office, working from home, or a combination of both. This flexibility allows Atlassians to balance their personal goals, family commitments, and other priorities. As a distributed-first company, we can hire people globally in any country where we have a legal entity. Interviews and onboarding are conducted virtually, ensuring a seamless process no matter where you are. Important: This role requires working during EMEA timezone hours to ensure effective collaboration across teams. About the Team: AI, Systems, and Technology (AIST) The AIST team at Atlassian focuses on driving transformative changes through Machine Learning (ML) and Artificial Intelligence (AI) solutions, particularly within our Customer Support Services (CSS) organization. Our goal is to enhance the efficiency and effectiveness of CSS through cutting-edge AI/ML innovations while emphasizing AI responsibility and Human-in-the-Loop methodologies. The team is a mix of Machine Learning Engineers, Data Scientists, Systems Engineers, and Software Engineers, offering a collaborative environment for knowledge sharing and professional growth. We work closely with various teams across the company, providing ample opportunities to contribute to high-impact projects. About the Role: Machine Learning Data Scientist As a Machine Learning Data Scientist at Atlassian, you will be responsible for developing and implementing machine learning algorithms, training sophisticated models, and collaborating with both technical and non-technical partners. Your work will directly contribute to expanding our AI/ML functionality in partnership with the CSS and Sales organizations. We are looking for a talented individual who is both data-driven and capable of aligning machine learning solutions with business objectives. What You ll Do: Develop and implement machine learning models, especially focusing on NLP (Natural Language Processing) and LLMs (Large Language Models) to solve business challenges. Lead end-to-end delivery of ML projects: from design and development to deployment and monitoring. Collaborate closely with cross-functional teams (including engineers, data scientists, and business stakeholders) to ensure the successful implementation of AI/ML solutions. Communicate complex data science concepts to a broad audience, creating a compelling narrative around the impact of ML on business goals. Guide and mentor peers, contributing to knowledge sharing and best practices within the team. What We Expect on Your First Day: 5+ years of experience in Data Science or related fields, with a solid background in Machine Learning. Expertise in applying a broad variety of ML methods, including NLP and LLMs, to solve complex business problems with large datasets. Proven experience in delivering ML projects end-to-end, from design and development to deployment and monitoring. Strong programming skills in Python or Java, with the ability to write efficient, scalable code. Familiarity with SQL, Spark, and cloud data environments like AWS or Databricks. Agile development mindset with an appreciation for continuous iteration and improvement. Exceptional communication skills, capable of explaining complex ML concepts to a diverse audience, including non-technical stakeholders. Nice to Have (Not Required): A post-graduate degree in a quantitative discipline, with at least 5+ years of relevant experience. Experience working in the consumer or B2C space, or domain knowledge in customer support and/or sales, including an understanding of the challenges and dynamics in these areas. Comfort in solving complex problems in ambiguous spaces where the solutions may not be clear from the start. Our Perks & Benefits: At Atlassian, we provide a wide range of perks and benefits to help you thrive, both at work and outside of it: Comprehensive health coverage to support your well-being. Paid volunteer days to encourage giving back to your community. Wellness resources to prioritize your mental and physical health. And much more to ensure that you have the support you need to excel in all aspects of your life. At Atlassian, you ll be part of a forward-thinking, collaborative team where you can make a meaningful impact with your skills in AI and machine learning. If you're passionate about solving real-world problems and driving transformation with data, we want to hear from you! Qualification : A post-graduate degree in a quantitative discipline, with at least 5+ years of relevant experience.

Machine Learning Engineering Manager Experience: 10+ years in Software Engineering, 2+ years in Engineering Management About Coinbase: At Coinbase, our mission is to increase economic freedom in the world. This massive, ambitious goal demands the best from us every day as we build the emerging on-chain platform and, with it, the future global financial system. To achieve our mission, we re looking for a candidate who is passionate about our mission and believes in the power of crypto and blockchain technology to modernize the financial system. If you thrive under pressure, relish working with top-tier colleagues, and actively seek feedback to continuously improve, Coinbase may be the place for you. The Role: We are seeking an experienced Machine Learning Engineering Manager to lead our ML team. This team is focused on developing and scaling a multi-cloud LLM platform that caters to Coinbase s customers and employees. With over 100 million customers globally, we leverage cutting-edge AI technologies to create solutions such as customer support chatbots and predictive systems, ensuring that we deliver exceptional customer experiences. As a hands-on leader, you'll be responsible for the continued growth of this team, working with industry-leading Large Language Models (LLMs) to provide innovative solutions for Coinbase customers and internal stakeholders. You will lead a team of talented engineers to deliver cutting-edge products while ensuring scalability, security, and customer-centricity. What You ll Be Doing: Lead a team of individual contributors (ICs) while also being hands-on with coding to build advanced ML solutions. Develop and implement the multi-year strategy for the Machine Learning Language team with the technical leadership within your team. Mentor and coach your direct reports, fostering growth and supporting career development. Act as a technical leader, making architectural decisions to scale and enhance the LLM platform. Collaborate with cross-functional teams (engineers, product managers, senior leadership) to shape and deliver a tangible roadmap every quarter. Work with talent acquisition teams to recruit top engineering talent, helping to build a culture of excellence at Coinbase. Drive processes to ensure engineering quality, meeting our engineering SLAs and adhering to best practices. Navigate through challenges and uncertainties such as dynamic product charters, crypto market volatility, and tight product delivery timelines. Manage a wide variety of stakeholders to ensure the delivery of ML-based solutions that meet company needs. What We Look For in You: At least 10 years of experience in software engineering. Minimum 2 years of engineering management experience leading teams. Experience managing engineers working with Machine Learning and backend technologies. Proven ability to design, build, and scale production ML applications, with hands-on experience in leading highly competent engineering teams. Strong understanding of high-quality code and software engineering processes. A passion for building an open financial system that brings the world together. Nice to Haves: BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field. Familiarity with Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python and data-related technologies. Expertise in model interpretability and responsible AI. Experience with data analysis and visualization. Coinbase is a fast-paced, high-energy environment where exceptional talent thrives. If you're ready to take on big challenges and make a direct impact on the future of global finance, we want you on our team. Join us and work alongside some of the best minds in the industry, driving innovation and shaping the future of crypto. Qualification : BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.

Machine Learning Engineer Experience: 5+ years in Machine Learning and Software Engineering About Coinbase: At Coinbase, our mission is to increase economic freedom globally. We are building the emerging on-chain platform that will power the future global financial system. To achieve this, we re looking for passionate individuals who believe in the transformative power of crypto and blockchain technology. If you thrive in a fast-paced environment, love solving hard problems, and want to leave your mark on the world, Coinbase is the place for you. About the Platform Product Group: Our engineers work to build a trusted, scalable, and compliant platform that operates with speed, efficiency, and quality. We build and maintain the critical platforms that support Coinbase s core services, including teams focused on Product Foundations (Identity, Payment, Risk, Proofing & Regulatory), Machine Learning, Customer Experience, and Infrastructure. The Role: As a Machine Learning Engineer at Coinbase, you will play a pivotal role in constructing essential infrastructure for the open financial system. You will work with diverse data sources, including the blockchain, to ensure millions of users can access cryptocurrency safely while detecting and preventing malicious entities. Additionally, your work will involve applying machine learning to enhance user experiences, such as improving recommendations, risk assessments, chatbots, and more. What You ll Be Doing: Apply cutting-edge machine learning techniques, including deep learning, large language models (LLMs), and graph neural networks, to solve a variety of challenges (fraud detection, recommendation systems, targeting, chatbots, blockchain mining, etc.). Develop and deploy robust, scalable, and low-maintenance ML solutions in production. Build and maintain tools and infrastructure to democratize machine learning resources across Coinbase, fostering a culture of ML adoption and innovation. What We Look For in You: 5+ years of industry experience as a machine learning and software engineer. Strong background in building backend systems at scale, focusing on data processing, machine learning, and analytics. Experience with at least one ML model: LLMs, GNN, deep learning, logistic regression, gradient boosting trees, etc. Proficiency in one or more of the following areas: data mining, information retrieval, advanced statistics, natural language processing, or computer vision. A commitment to Coinbase s core cultural values: positive energy, clear communication, curiosity, and being a builder. Nice to Haves: BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field. Familiarity with Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python and relevant ML frameworks. Experience with model interpretability and responsible AI practices. Strong skills in data analysis and visualization. Join a fast-paced, high-energy environment where you will work alongside the brightest minds in the industry. If you re ready to solve big challenges, create impactful solutions, and help shape the future of crypto, Coinbase is the place for you. Qualification : BS, MS, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.

Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.

Principal Member of Technical Staff - Fusion Applications as a Service (FAaaS) About the Role: The Fusion Applications as a Service (FAaaS) team is building frameworks to facilitate the complete lifecycle management of the Fusion Application Database for provisioning, upgrade, and patching. This initiative is crucial for migrating Oracle's SaaS portfolio, including the multi-billion dollar revenue-producing Fusion applications, into a first-class Oracle cloud citizen. We are developing a next-generation framework optimized for scalability and performance, with a roadmap to handle upcoming features from OCI and Oracle Database. As a Principal Member of Technical Staff, you will own the development of distributed, scalable, and fault-tolerant software systems, responsible for the entire software lifecycle, from development and testing to CI/CD and production operations. This includes balancing product feature development with production operational concerns such as writing runbooks, ops automation, structured logging, and instrumentation for metrics and events, leveraging a wide range of internal OCI tooling. Responsibilities: Design, develop, troubleshoot, and debug software programs for databases, applications, tools, and networks. Build distributed, scalable, and fault-tolerant software systems. Manage the entire software lifecycle: development, testing, CI/CD, and production operations. Address production operational concerns, including runbooks, ops automation, structured logging, and instrumentation. Collaborate effectively within a multi-functional team. Communicate complex technical concepts clearly. Minimum Qualifications: 8-10+ years of experience shipping scalable, cloud-native distributed systems. BE/BTech in Computer Science or equivalent experience. Strong grasp of Computer Science concepts (data structures, algorithms, and programming paradigms). Proficiency in Java, Python, and shell scripting. Working experience with Oracle Database, JDBC, and PL/SQL. Strong understanding of Unix-like operating systems. Experience building scalable frameworks or middle-tier solutions deployed on distributed systems. Strong working experience with: GitHub/Bitbucket, TeamCity/Hudson, Maven/Gradle. Experience with production operations and best practices for deploying and troubleshooting code in production. Excellent verbal and written communication skills (technical proposals, design specs, architecture diagrams, and presentations). Preferred Qualifications: ME/MTech in Computer Science. Experience in a fast-paced start-up environment. Experience diagnosing, troubleshooting, and resolving performance issues in complex environments. Production experience with Cloud and ML technologies. Data science and machine learning knowledge. Qualification : BE/BTech in Computer Science or equivalent experience.

About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.

Job Role Role Summary: You will play a pivotal role in ensuring our enterprise customers achieve maximum product value and satisfaction. Your primary focus will be on the customer s transition from sales prospect to active product user. You'll enhance customer retention and boost their lifetime value by proactively addressing challenges, creating tailored solutions, and identifying upsell opportunities. Product: Wisely ATP is a groundbreaking anti-phishing platform designed to combat scams in real time. Leveraging cutting-edge AI and machine learning technologies, it identifies, prevents, and eliminates SMS traffic scams. This platform is a proactive solution that provides unparalleled defense against fraud, protecting over a billion users from scams. It has also formed strategic partnerships with tech giants like Google and WhatsApp. What you'll be responsible for? POC and Onboarding of New Customers: Prioritize successful onboarding to ensure clients quickly grasp essential features. Facilitate a smooth transition from sales to product adoption. Monitoring Customer Health Metrics: Continuously track client progress along their customer journey. Identify upsell opportunities and address churn risks promptly. Ensure timely deliverables from the product to the customer. Collaborating Across Departments: Work closely with ops, development, sales, finance, and other teams to solve client issues. Balance client requests with organizational resources. Voice of the customer: Identify new customer problems for feedback to the product team Qualification and other skills BE / BTech Graduate Why join us? We thought you would never ask! We offer all the usual stuff: competitive salary, flexible working hours, and challenging product culture but the real perks are: Challenging and fun work environment solving meaningful real-life business problems - you will never have a boring day at the office. World-class team that loves solving tough problems and have a bias for action. Tanla is an equal-opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability, or veteran status. Qualification : BE / BTech Graduate

Position: Deputy Manager Risk Management (Fraud Analytics) Location: Noida, Uttar Pradesh Department: Analytics Risk Operations (Offline Payments) Employment Type: Full-time About Paytm Paytm is India s leading mobile payments and financial services distribution company, and the pioneer of the mobile QR payments revolution. Our mission is to serve 500 million Indians and integrate them into the formal economy through cutting-edge technology that empowers small businesses and consumers alike. About the Team The Risk Analytics team plays a critical role in safeguarding the integrity of Paytm's ecosystem. We focus on proactive fraud detection, building robust risk controls, and driving strategic decision-making through data insights. Every challenge is an opportunity here and meaningful change starts with our people. With 500+ million registered users and over 21 million merchants, Paytm offers unmatched data depth and scale. This is your opportunity to be part of India s largest digital lending transformation. If you're passionate about creating impact, building scalable risk frameworks, and working in a fast-paced fintech environment this is the place for you. Role Overview As Deputy Manager Fraud Analytics, you will be instrumental in developing and managing fraud prevention strategies across Paytm s payment platforms. You ll support real-time fraud monitoring, rule configurations, analytics, and compliance. This role works closely with stakeholders across Risk Ops, Engineering, Product, and Compliance. Key Responsibilities Develop and optimize fraud detection models using rule-based and data-driven approaches Monitor real-time transactions to identify suspicious activity; escalate issues and recommend corrective actions Configure and fine-tune rules in fraud monitoring systems to reduce false positives and improve accuracy Analyze transaction patterns and fraud trends to preemptively address vulnerabilities Collaborate with internal teams (Risk, Product, Compliance) to align fraud mitigation with business goals Support regulatory compliance and internal control projects in accordance with RBI guidelines Generate periodic reports and dashboards for senior management on fraud insights and emerging risks Assist in audit responses and handle fraud-related queries from regulatory bodies Drive continuous improvement in fraud detection tools, techniques, and operational processes Required Qualifications & Skills Bachelor s degree in Data Analytics, Risk Management, Statistics, or a related field 4 8 years of experience in fraud analytics, risk management, or payments risk in fintech or BFSI Strong knowledge of fraud detection techniques and transaction monitoring systems Experience in configuring fraud rules and analyzing fraud patterns in high-volume environments Familiarity with RBI regulatory frameworks and guidelines governing payment platforms Excellent analytical and problem-solving skills Strong verbal and written communication skills, with the ability to present insights to both technical and non-technical teams Experience working with UPI, wallets, or other real-time payment systems Preferred Skills Exposure to machine learning models for fraud detection Experience in licensed TPAP (Third Party App Provider) setups Understanding of regulatory audits, compliance standards, and fraud risk reporting in a regulated environment What You ll Get A chance to be part of India s largest digital lending story Fast-paced, high-impact role in a leading fintech organization Opportunity to create tangible value for millions of users and merchants A collaborative, meritocratic culture that rewards performance Competitive compensation and career growth potential Join us on our mission to redefine financial inclusion in India. Be a part of something transformative. Be a part of Paytm. Qualification : Bachelors degree in Data Analytics, Risk Management, Statistics, or a related field

Senior Machine Learning Engineer II Location: Noida, Uttar Pradesh, India Employment Type: Full-Time About Adobe Adobe is revolutionizing the way the world creates and communicates. From individuals to global enterprises, our tools empower people to design and deliver stunning digital experiences. We re driven by creativity, fueled by innovation, and committed to creating an inclusive culture where every employee has access to equal opportunity and respect. About the Team The Adobe Express team is building a transformative all-in-one creative application for web, desktop, and mobile platforms. By combining Adobe s core creative technologies with intelligent, AI-enhanced workflows, Adobe Express empowers anyone from casual creators to professionals to create standout content quickly and effortlessly. The Opportunity We are seeking a highly experienced and visionary Senior Machine Learning Engineer II to develop next-gen AI-powered features focused on image editing, generative AI, and multimodal creative experiences within Adobe Express. You will drive cutting-edge ML and AI workflows, including personalized assistants, intelligent editing tools, and LLM-integrated creative workflows. Experience Requirements 12+ years of hands-on experience in machine learning, computer vision, NLP, or related domains. Track record of delivering production-grade ML models and scalable AI systems. Experience with LLMs, agent-based systems, and generative AI models is strongly preferred. Responsibilities Design, develop, and deploy scalable ML pipelines across the entire lifecycle training, inference, and optimization. Build generative AI features and intelligent assistants for Adobe Express, particularly in the image editing domain. Integrate Large Language Models (LLMs) and AI agents to support dynamic and multimodal creative workflows. Collaborate across product, design, and engineering to translate user needs into AI-powered features. Architect sub-agent frameworks to modularize tasks such as content generation, smart editing, and design assistance. Contribute to experimentation infrastructure, including A/B testing, performance tracking, and continuous learning. Stay current on research in generative AI, federated learning, and optimization techniques for low-latency inference. Champion AI-first practices and mentor peers to foster a culture of experimentation, learning, and innovation. Required Skills Programming: Proficient in Python (for model development) and C++ (for performance-sensitive systems). Frameworks: Deep experience with TensorFlow, PyTorch, and modern GenAI toolkits. AI Expertise: Practical experience with LLMs, computer vision, NLP, multimodal models, and agent-based design. Systems: Proven ability to build ML pipelines at scale both in cloud and on-device environments. Preferred Qualifications Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Published research or patents in AI/ML, especially in generative modeling or AI-assisted creativity. Experience with federated learning, RAG (retrieval-augmented generation), and real-time inference optimization. Lead the development of creative AI technologies that impact millions of users globally. Work in a collaborative, inclusive, and high-performing team culture. Access world-class learning, research, and innovation resources. Enjoy excellent employee benefits, flexibility, and career growth opportunities. Adobe is proud to be an Equal Opportunity Employer. We believe that diversity makes us stronger and we encourage all qualified individuals to apply. Qualification : Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.

Position: HR Business Partner Overview: DevRev is seeking a dynamic and experienced HR Business Partner to join our People Ops (HR) team. Based in one of our three offices in India, this role will serve as a trusted advisor, coach, and counselor to functional leaders and their teams globally. The ideal candidate will possess the ability to identify patterns, diagnose issues, and recommend both immediate and long-term solutions to foster a positive and inclusive work culture. Additionally, the candidate will bring technical expertise in at least one area of HR, such as talent management, total compensation, employee experience, or learning & development, to design and implement HR solutions that contribute to business success. This role requires a hands-on approach, with high business acumen, emotional intelligence (EQ), and exceptional communication skills being key to success. The HR Business Partner will actively engage with leaders to support the growth and development of teams and individuals while driving organizational goals. Key Responsibilities: Partner with functional leaders and teams globally to provide guidance, coaching, and counseling on HR-related matters. Analyze organizational trends, diagnose issues, and develop solutions that foster a positive, inclusive, and high-performing work culture. Provide expertise in at least one HR functional area (talent management, compensation, employee experience, learning & development) to design and implement HR solutions aligned with business objectives. Act as a strategic partner to senior executives, offering advice and support in talent management, leadership development, and organizational effectiveness. Support the development and implementation of HR initiatives that enhance employee engagement, retention, and performance. Serve as a trusted advisor to managers, offering coaching on leadership, team dynamics, and performance management. Build strong, trusted relationships across all levels of the organization, including remote teams, and provide tailored support to meet business needs. Stay informed on global labor laws, HR best practices, and industry trends to ensure compliance and alignment with organizational goals. Leverage data to provide insights and make informed decisions, while working collaboratively in a fast-paced, dynamic environment. Qualifications: Bachelor s degree in Human Resources, Business Administration, or a related field. 8+ years of progressive experience as an HR Business Partner, ideally in the technology industry. Strong knowledge of the dynamics of a sales organization, including incentive structures, performance metrics, and results-oriented cultures. Exceptional communication and interpersonal skills, with a high degree of emotional intelligence (EQ). Proven experience in HR business partnering, supporting global executives and senior leaders. Ability to build and maintain trusted working relationships and networks at all organizational levels, including remote teams. Strong knowledge of global labor laws and HR best practices. Data-driven with the ability to work independently and collaboratively in a fast-paced, evolving environment. Culture: At DevRev, our culture is built on the values of hunger, humility, honesty, and acting with heart. We are on a mission to help build the world s most customer-centric companies, using design, data engineering, and machine intelligence to empower engineers to deeply connect with and embrace their customers. Qualification : Bachelors degree in Human Resources, Business Administration, or a related field.

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!

Platform Admin NextGen SIEM Location: Bangalore (Onsite) About ColorTokens At ColorTokens, we re all about helping businesses stay secure and keep running, no matter what cyber chaos hits. Our game-changing Xshield platform stops ransomware and malware from spreading sideways, so companies can keep their critical stuff safe and business uninterrupted. We bring insane visibility into traffic flows between workloads, IoT devices, users basically everything to create super tight security zones that isolate threats fast. We re a Forrester Wave Leader (Q3 2024) for microsegmentation and protect global giants from costly cyber disruptions. Our Culture We love self-starters who bring energy, curiosity, and big ideas. You ll get to own projects, collaborate with passionate teammates, and work on security that actually protects real people from hospitals to cities to entire nations. What You ll Do The Role You ll run and manage our NextGen SIEM platform think Splunk, Sentinel, Exabeam, Stellar Cyber, or similar making sure it s up-to-date, humming smoothly, and packed with the right alerts. Admin & Ops: Install, configure, patch, and keep the SIEM platform running 24/7. Log Boss: Bring in new log sources, troubleshoot ingestion issues, and ensure data is clean and compliant. Rule Maker: Build and tweak detection rules and alerts to catch real threats while cutting down false alarms. Integrate & Automate: Connect SIEM with other security tools and automate incident workflows. Lock It Down: Manage user access, keep the platform secure, and nail compliance requirements. Team Player: Work closely with SOC analysts, threat hunters, and engineers to level up detection and response. Support & Train: Help users get the most from the platform and be the go-to expert when incidents hit. Optimize & Report: Track performance, fix bottlenecks, and share insights to keep the platform sharp. What You Bring Your Skills & Experience 8+ years managing SIEM platforms, especially NextGen ones like Splunk, Sentinel, or Exabeam. Expert in log management, rule creation, and onboarding data from all sorts of sources. Solid scripting skills (Python, PowerShell) to automate and customize workflows. Deep knowledge of log formats (Syslog, JSON, XML), querying languages (KQL, SPL, AQL), and data pipelines. Experience integrating SIEM with EDR, SOAR, NDR, and threat intel platforms. Familiar with security frameworks like MITRE ATT&CK, NIST, or CIS. Bonus points if you know cloud security (AWS, Azure, GCP), machine learning in SIEM, or SOAR tools like Cortex XSOAR or Phantom. Your Credentials Bachelor s degree in Computer Science, InfoSec, or related field (or equivalent experience). Relevant certifications like Splunk Certified Admin, Microsoft Security Operations Analyst, QRadar cert, or CISSP are a major plus. What Success Looks Like Keep SIEM uptime near 100%. Smoothly onboard new log sources and build killer detection use cases. Reduce noise fewer false positives, sharper alerts. Fast, effective fixes when platform issues pop up. Align SIEM capabilities tightly with security and business goals. Qualification : Bachelors degree in Computer Science, InfoSec, or related field (or equivalent experience).

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.

Senior Financial Data Analytics Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Finance Staff Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation with AI and data solutions like Cognite Atlas AI and Cognite Data Fusion. Recognized for innovation and impact, we serve industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Role Overview We re looking for a data-driven FP&A Data Analyst to strengthen our financial data infrastructure, deliver impactful analytics, and support decision-making through automation and reporting. You ll collaborate across Finance, Revenue Ops, and other teams, and contribute to FP&A software implementation and management. Key Responsibilities Build and maintain a scalable, reliable financial data foundation. Develop insightful Power BI dashboards and reports to aid financial planning and forecasting. Perform deep-dive analyses on financial trends and business drivers. Automate reporting processes and streamline data workflows. Collaborate with FP&A, Accounting, and BI teams to align insights with business goals. Support FP&A software selection, implementation, and ongoing management. Handle ad-hoc data requests, financial modeling, and scenario planning. Your Profile Bachelor s degree in Finance, Accounting, Economics, Data Science, or related (Master s/MBA preferred). 5 8 years of FP&A, data modeling, and financial reporting experience. Strong skills in Power BI (or Tableau), advanced SQL, and financial modeling. Experience automating reporting and managing FP&A tools. Familiarity with ERP/financial systems (e.g., NetSuite). Detail-oriented, analytical thinker with excellent communication and collaboration skills. SaaS/technology industry experience and project management skills are a plus. Inclusive culture with 70+ nationalities and strong DEI focus. Modern, collaborative office in Bengaluru with hybrid work options. Flat organizational structure with direct access to decision-makers. Opportunity to work on impactful projects alongside top industry talent. Engage in Cognite community events and contribute to innovative digital transformation efforts. Excited to help shape the future of financial analytics at Cognite? Apply now! Qualification : Bachelors degree in Finance, Accounting, Economics, Data Science, or related (Masters/MBA preferred).

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.

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.