About Us
Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.
Job Description :Our opportunity
Automation Anywhere is the leader in Agentic Process Automation (APA), redefining how enterprises automate and scale work through AI-powered automation. Our AI-native APA platform combines advanced AI agents, machine learning, orchestration, and enterprise-grade automation to help organizations unlock productivity, accelerate innovation, and build the Autonomous Enterprise. As we continue to push the boundaries of AI and intelligent automation, we are looking for exceptional AI/ML talent to help shape the future of enterprise AI. Role : Senior Data Scientist EngineerLocation : Bangalore (Onsite)
Join our Product-building AI/ML team where you’ll have the opportunity to lead cutting-edge AI and machine learning research initiatives while continuing to grow as a hands-on software engineer. This role offers the unique chance to drive ML innovation from concept to production — influencing research direction, developing scalable ML systems, and bringing advanced AI capabilities into real-world enterprise products. If you’re passionate about solving complex problems, translating research into impactful applications, and accelerating your technical growth in a fast-moving AI environment, we’d love to meet you. Who you’ll report to:
This role reports to our Sr. Director, Engineering You will make an impact by being responsible for:· Building and deploying production ML systems from prototype through to production· Improving the reliability, accuracy, and maintainability of production ML services· Designing and implementing novel ML/AI approaches, staying current with cutting-edge research and methodologies· Developing ML solutions for AIOps and IT operations using large-scale operational data· Collaborating with cross-functional teams: Working closely with product managers, and other stakeholders to ensure the AI/ML solutions align with the organization's goals and objectives· Communicating effectively: Clearly document your work and effectively communicate your findings, insights, and recommendations to both technical and non-technical stakeholders, fostering a collaborative and informed environment.· Guiding ML engineering decisions including model selection, feature engineering, and optimization strategies· Working closely with AI Systems Tech Leads to ensure delivery of optimized AI systems and services to production You will be a great fit if you have:
· Relevant undergraduate degree in computer science, engineering, mathematics, or a similar discipline required. Advanced degree in AI/ML or a related field preferred· 4+ years in ML engineering with demonstrated advanced development or research capabilities (innovative projects, publications, theses)· Deep understanding of statistical modeling, time-series, and ML fundamentals; deep learning a plus· Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)· Experience with unsupervised learning and clustering, including on unstructured text data· Experience with anomaly detection and time-series forecasting (Prophet, VAR, deep learning approaches)· Working knowledge of causal inference and root cause analysis methods· Ability to translate research papers into working implementations· Solid foundation in software development practices (testing, version control, code review)· Experience building and operating production ML services (APIs, streaming data, SQL, containers, cloud)· Background in NLP is essential · Experience with ML experiment tracking, model versioning, and reproducible research practices· Track record of research publications or open-source ML contributions preferred· Domain experience in AIOps, observability or ITSM preferred You excel in these key competencies:
· Collaborative Communication – Ability to work effectively with product managers, data scientists, and cross-functional engineering teams to deliver high-value solutions· Analytical Problem Solving – Strong critical thinking and troubleshooting skills to diagnose complex production issues and develop effective, scalable solutions· Ownership & Accountability – Demonstrates end-to-end responsibility for system reliability, performance, and operational excellence, including proactive monitoring and issue resolution· Technical Leadership & Mentorship – Ability to guide, mentor, and elevate other engineers while fostering best practices in system design, code quality, and AI-assisted development· Continuous Improvement Mindset – Proactively identifies technical debt, improvement opportunities, and innovative solutions to enhance system scalability, performance, and engineering practices
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.
Skills Required
- Undergraduate degree in computer science, engineering, mathematics, or a similar discipline
- 4+ years of experience in machine learning engineering with advanced development or research capabilities
- Strong Python skills with machine learning libraries
- Deep understanding of statistical modeling, time-series, and machine learning fundamentals
- Experience with unsupervised learning and clustering, including unstructured text data
- Experience with anomaly detection and time-series forecasting
- Working knowledge of causal inference and root cause analysis methods
- Ability to translate research papers into working implementations
- Software development experience with testing, version control, and code review
- Experience building and operating production machine learning services using APIs, streaming data, SQL, containers, and cloud technologies
- Background in natural language processing
- Experience with machine learning experiment tracking, model versioning, and reproducible research practices
- Advanced degree in AI/ML or a related field
- Deep learning experience
- Research publications or open-source machine learning contributions
- Domain experience in AIOps, observability, or ITSM
Automation Anywhere Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Automation Anywhere and has not been reviewed or approved by Automation Anywhere.
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Fair & Transparent Compensation — Pay is considered competitive to above average in many core roles, with sales and senior go-to-market positions noting strong on-target earnings and competitive packages. Feedback suggests several technical and leadership roles also view salary as a recurring strength.
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Leave & Time Off Breadth — Time off includes unlimited PTO in many postings, company holidays, volunteer days, and additional quarterly “Achievement Days” to unplug. Feedback suggests this breadth provides meaningful opportunities to rest and recharge.
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Flexible Benefits — Work practices emphasize flexible and hybrid arrangements, with remote options supported across roles. Feedback suggests this flexibility is a notable component of the total rewards experience.
Automation Anywhere Insights
What We Do
Welcome to Automation Anywhere. We’re on a singular and unwavering mission to democratize automation and create a better future for everyone, liberating people from mundane, repetitive tasks, and allowing them more time to use their intellect and creativity. With 2.8M bots deployed at customers in 90 countries, and a network of over 2100 partners, we are a leader in the Gartner Magic Quadrant, and our AI-powered digital workforce platform optimizes the business processes of the world's largest enterprises and governments in virtually every industry including 85% of the top banks and financial institutions, 90% of the top healthcare institutions, 85% of the top technology companies, and 80% of the top telecom companies. Industry Awards and highlights: · Named a leader each year of Gartner Magic Quadrant for Robotic Process Automation · Named a Leader in Forrester Wave · Named a Leader and Star Performer in Everest Peak Matrix · Named a Leader in Nelson Hall NEAT Intelligent Automation Report · G2 Crowd 2020 Best Software Company · First Cloud-native digital workforce platform · 850+ pre-built, intelligent automation solutions · Bot security and IP protection · SaaS packages · Over 1.4M courses completed in Automation Anywhere University · Free AI-powered Community edition Try the world’s most advanced digital workforce platform today: https://bit.ly/startRPAtoday
