199 Predictive Models jobs in Bangalore

Our client, a leading entity in the resource exploration sector, is seeking an exceptional Geological Engineer with a specialization in remote sensing and data analysis to join their team in Bengaluru, Karnataka, IN . This critical role involves utilizing advanced geospatial technologies and geological modeling techniques to identify, assess, and manage mineral resources. You will be responsible for the acquisition, processing, and interpretation of data from various remote sensing platforms (satellite imagery, LiDAR, drones) and integrating this with other geological datasets. The ideal candidate will possess a strong theoretical foundation in geology and practical experience in applying sophisticated analytical tools and software. Your work will directly inform exploration strategies, resource estimations, and operational planning. Collaboration with geologists, geophysicists, and field teams is essential, requiring clear communication of complex technical findings. This role demands meticulous attention to detail, a proactive approach to problem-solving, and the ability to work effectively in both individual and team environments. A deep understanding of geological processes and the ability to translate remote sensing data into actionable geological insights are key requirements.

Responsibilities:

• Acquire, process, and interpret remote sensing data (e.g., satellite imagery, LiDAR) for geological applications.
• Develop and apply geological models using integrated datasets, including geophysical and geochemical information.
• Conduct spatial analysis to identify potential resource targets and geological structures.
• Collaborate with geologists and geophysicists to interpret geological features and anomalies.
• Prepare detailed technical reports, maps, and presentations for stakeholders.
• Ensure the quality and accuracy of geological data and interpretations.
• Stay updated on the latest advancements in remote sensing technology and geological modeling software.
• Assist in the planning and execution of field exploration programs based on data analysis.
• Contribute to resource estimation and geological risk assessment.
• Maintain and manage geological databases and GIS projects.

Qualifications:

• Master's or Ph.D. in Geological Engineering, Geosciences, or a related field with a focus on remote sensing and GIS.
• 5+ years of professional experience in geological exploration or mining.
• Proven expertise in processing and interpreting various types of remote sensing data.
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and geological modeling software.
• Strong understanding of geological principles, mineralogy, and structural geology.
• Experience with programming languages like Python for data analysis is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong report writing and presentation skills.
• Ability to work collaboratively in a multidisciplinary team.
• Experience in the mining or oil and gas industry is a plus.

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That's why we need smart, committed people to join us. Whether you're looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.
We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.
Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.
**Job Summary**
We are seeking a highly analytical and detail-oriented **Data & Insights Analyst** to support our team's drive for operational excellence. This role will be responsible for generating insights through Salesforce reporting, Looker Studio, Tableau, and other BI tools. The ideal candidate will bring a passion for data storytelling, a sharp eye for trends, and a collaborative spirit to help increase team effectiveness and productivity
**Key Responsibilities:**
**Salesforce Reporting & Dashboards:**
+ Design, develop, and maintain custom Salesforce reports and dashboards for performance monitoring, KPI tracking, and operational insights.
+ Support leadership and stakeholders with ad-hoc reporting needs.
**Business Intelligence & Visualization:**
+ Create interactive and visually compelling dashboards using Looker Studio and Tableauto present actionable insights.
+ Combine data from multiple sources to generate holistic views of performance
**Analytics & Insights** :
+ Conduct trend analysis, root cause analysis, and correlation studies to support business decisions.
+ Recommend initiatives to enhance team productivity, streamline workflows, and eliminate bottlenecks.
**Collaboration & Strategy Support** :
+ Work closely with team leads, managers, and project stakeholders to understand data requirements and deliver insights aligned to business goals.
+ Assist in building predictive models or scorecards for prioritizing team efforts (optional/nice-to-have).
**Continuous Improvement** :
+ Monitor and identify opportunities to automate reporting and reduce manual efforts.
+ Stay updated with the latest features in Salesforce and BI tools to enhance reporting capabilities
**Required Skills & Qualifications** :
+ **Proven experience (5-9 years) in an analytics or reporting role**
+ Strong proficiency in Salesforce Reporting and Dashboard creation.
+ **Hands-on expertise in** **Looker Studio** (Google Data Studio) and **Tableau** .
+ Excellent data interpretation and storytelling skills.
+ Proficient in Excel/Google Sheets and SQL (preferred).
+ Strong communication skills with the ability to present complex data in a simple, actionable way.
+ Self-motivated, detail-oriented, and outcome-driven.
**Preferred Qualifications** :
+ Experience working in a shared services, Center of Excellence (CoE), or global operations setup.
+ Exposure to customer success, sales operations, or productivity measurement frameworks.
+ Knowledge of Salesforce data architecture and custom objects
**Please Note: Shift will be 5:30PM to 2:30AM, and it is Work From Office at Bagmane World Technology Centre, Bangalore**
Category: Administrative Services
Iron Mountain is a global leader in storage and information management services trusted by more than 225,000 organizations in 60 countries. We safeguard billions of our customers' assets, including critical business information, highly sensitive data, and invaluable cultural and historic artifacts. Take a look at our history here.
Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics. Please see our Values and Code of Ethics for a look at our principles and aspirations in elevating the power of our work together.
If you have a physical or mental disability that requires special accommodations, please let us know by sending an email to See the Supplement to learn more about Equal Employment Opportunity.
Iron Mountain is committed to a policy of equal employment opportunity. We recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law.
To view the Equal Employment Opportunity is the Law posters and the supplement, as well as the Pay Transparency Policy Statement, CLICK HERE
**Requisition:** J

Greetings from Maneva!

Job Description

Job Title - Machine Learning Engineer

Experience - 5 -15 days

Location - Bangalore ( Kodathi)

Notice - Immediate to 60 days

Job Summary:

We are seeking a highly skilled and versatile  Senior Machine Learning Engineer  who embodies the rare combination of a strong software engineer, a pragmatic data scientist, and an expert in building robust, scalable ML applications. This role is critical to our mission, bridging the gap between cutting-edge ML research and robust, production-ready systems. Candidate will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features. This demands a blend of analytical rigor, coding prowess, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deployment, monitoring, and continuous improvement.

Key Responsibilities:

• End-to-End ML Application Development:  Lead the design, development, and deployment of machine learning models and intelligent systems into production environments, ensuring they are robust, scalable, and performant.
• Software Design & Architecture:  Apply strong software engineering principles to design and build clean, modular, testable, and maintainable ML pipelines, APIs, and services. Contribute significantly to the architectural decisions for our ML platform and applications.
• ML Model Development & Optimization:  Collaborate with Data Scientists to understand business problems, explore data, develop, train, and evaluate machine learning models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Optimize models for performance, efficiency, and interpretability.
• Data Engineering for ML:  Design and implement data pipelines for feature engineering, data transformation, and data versioning to support ML model training and inference.
• MLOps & Productionization:  Establish and implement best practices for MLOps, including CI/CD for ML, automated testing, model versioning, monitoring (performance, drift, bias), and alerting systems for production ML models.
• Performance & Scalability:  Identify and resolve performance bottlenecks in ML systems. Ensure the scalability and reliability of deployed models under varying load conditions.
• Collaboration & Mentorship:  Work closely with cross-functional teams including Data Scientists, Software Engineers, Product Managers, and DevOps to integrate ML solutions seamlessly into our products. Potentially mentor junior engineers on best practices in ML engineering and software design.
• Research & Innovation:  Stay abreast of the latest advancements in machine learning, MLOps, and related technologies. Propose and experiment with new techniques and tools to improve our ML capabilities.
• Documentation:  Create clear and comprehensive documentation for ML models, pipelines, and services.

Required Qualifications:

• Education:  Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Electrical Engineering, or a related quantitative field.
• Experience:  5+ years of professional experience in Machine Learning Engineering, Software Engineering with a strong ML focus, or a similar role.
• Exceptional Programming Skills:  Expert-level proficiency in Python, including experience with writing production-grade, clean, efficient, and well-documented code. Experience with other languages (e.g., Java, Go, C++) is a plus.
• Strong Software Engineering Fundamentals:  Deep understanding of software design patterns, data structures, algorithms, object-oriented programming, and distributed systems.
• Machine Learning Expertise:
• Solid theoretical and practical understanding of various machine learning algorithms
• Proficiency with ML frameworks such as PyTorch, Scikit-learn.
• Experience with feature engineering, model evaluation metrics, and hyperparameter tuning.
• Data Handling:  Experience with SQL and NoSQL databases, data warehousing concepts, and processing large datasets.
• Problem-Solving:  Excellent analytical and problem-solving skills, with a pragmatic approach to delivering solutions.
• Communication:  Strong verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Preferred Qualifications:

• Master's or Ph.D. in a relevant field.
• Experience with big data technologies (e.g., Spark, Hadoop, Kafka).
• Contributions to open-source projects or a strong portfolio of personal projects.
• Experience with A/B testing and experimental design for ML models.
• Knowledge of data governance, privacy, and security best practices in ML.

If you are excited to grab this opportunity, please apply directly or share your CV at   and 

**Job Description :**
+ **About Diageo:** Diageo is the world's leading premium drinks company with Outstanding collection of brands, such as Johnnie Walker, Smirnoff, Baileys, Captain Morgan, Tanqueray and Guinness. With over 200 brands in 180 countries and a global network of daring individuals, our teams blend a diverse range of experience, knowledge and skills. We connect customers and consumers to our iconic products and build innovative experiences that bring people together to celebrate life.
+ **Who we are:** The Digital & Technology vision is to own the way in the transformation of Diageo business capabilities, demonstrating data & digital technology, to build a driven edge in the marketplace.
**About the Function:**
Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help craft the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.
Our D&T team includes some of the most dedicated digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.
+ 6 to 8 years of hands-on experience working on ML engineering
+ Experience in end-to-end model development life cycle spanning (but not limited to) data sampling, model training, deployment, and performance evaluation
+ Expertise in Python with the ability to write performant production-quality code
+ Familiarity with SQL, knowledge of spark and cloud data environments (Azure cloud services)
+ Experience of using Azure DevOps, ADF, MLFlow, Feature Stores etc.
+ Knowledge of building and deploying CI/CD pipelines
+ Validated understanding of machine learning algorithms and techniques
+ Experience working on large scale machine learning projects, handling big data, and distributed computing frameworks like Hadoop or Spark.
+ Proficient in data manipulation, data preprocessing, and feature engineering. - Strong problem-solving and analytical skills.
+ Experience of working in an Agile framework
**Worker Type :**
Regular
**Primary Location:**
Bangalore Karle Town SEZ
**Additional Locations :**
**Job Posting Start Date :**

With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (

About **Zscaler**
Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world's largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.
Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
We're looking for an experienced Staff Machine Learning Engineer to join our Shared Platform Services. Reporting to the Director, Engineering; you'll be responsible for:
+ Architecting, building and maintaining robust, large-scale distributed systems to support the entire ML pipeline on the client side, including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving
+ Developing functional specifications, assess task requirements and scheduling, and actively participate in the development, debugging, and support of client-side ML solutions
+ Solving complex real-world business problems by working closely with various stakeholders, including data scientists, product management, and product engineering teams
+ Developing implement, and optimize C/C++ code for the efficient execution of machine learning models on client side or server side depending on the use case
+ Integrating and running various machine learning models on client platforms, ensuring optimal performance and resource utilization
**What We're Looking for (Minimum Qualifications)**
+ 8+ years of experience as a Software Engineer including 3+ years of ML platform engineer, with a focus on client-side development.
+ Experience in C/C++ programming for high-performance applications
+ Good understanding of Windows OS and experience building applications on Windows OS using Visual Studio
+ Strong experience with algorithms and programming skills in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms on client devices
+ Experience with SLM models and running different ML models on client-side environments
**What Will Make You Stand Out (Preferred Qualifications)**
+ Strong experience with LLMs, agent architectures and prompt engineering
+ Experience with ONNX runtime for optimizing and deploying machine learning models
+ Advanced degree or certifications in Machine Learning
#LI-GL2
#LI-Hybrid
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
+ Various health plans
+ Time off plans for vacation and sick time
+ Parental leave options
+ Retirement options
+ Education reimbursement
+ In-office perks, and more!
Learn more about Zscaler's Future of Work strategy, hybrid working model, and benefits here ( .
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. _See more information by clicking on the_ Know Your Rights: Workplace Discrimination is Illegal ( _link._
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

About **Zscaler**
Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world's largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.
Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
As a Staff Machine Learning Engineer, you will influence technical direction, bridge research and production, and drive technical excellence. You'll lead complex projects, mentor engineers, and build scalable models and systems. Reporting to the Manager of Machine Learning Engineering, your responsibilities will include:
+ Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring
+ Driving the innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions to validate their feasibility and championing full-scale implementation
+ Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems
+ Leading and mentoring junior engineers in system design best practices and promoting technical excellence
+ Collaborating with cross-functional teams to translate business needs into technical solutions
**What We're Looking for (Minimum Qualifications)**
+ 5+ years of experience as an MLE, with a track record of shipping complex, scalable ML systems to production
+ Proven experience building Gen AI/ML systems with LLMs, fine-tuning them, using Retrieval-Augmented Generation (RAG) and Agentic AI, and deploying in production
+ Proven experience designing and implementing distributed ML systems with deep knowledge of MLOps (monitoring, logging, ops)
+ Strong CS foundation (data structures, algorithms, system design) with expertise in Python (scikit-learn, PyTorch/TensorFlow) and SQL for feature engineering, model evaluation, and error analysis
+ Excellent communication and interpersonal skills
**What Will Make You Stand Out (Preferred Qualifications)**
+ Expertise with cloud services (AWS, GCP, Azure) and ML platforms (Kubeflow, SageMaker)
+ Proficiency in systems programming languages like Go or Rust, with a deep understanding of distributed systems, OS, and networking fundamentals
+ A record of research, publications, or patents in AI/ML
#LI-HYBRID
#LI-SK3
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
+ Various health plans
+ Time off plans for vacation and sick time
+ Parental leave options
+ Retirement options
+ Education reimbursement
+ In-office perks, and more!
Learn more about Zscaler's Future of Work strategy, hybrid working model, and benefits here ( .
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. _See more information by clicking on the_ Know Your Rights: Workplace Discrimination is Illegal ( _link._
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

**We help the world run better**
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
As part of SAP's Application AI organization, you'll lead a team at the forefront of enterprise AI innovation. You'll shape how SAP's customers plan, build, and visualize with generative AI-across Sales, Marketing, Finance, HR, and beyond. By joining Experience Generation, you'll have the opportunity to lead talented engineers, collaborate with researchers and product visionaries, and deliver technologies that redefine how businesses operate.
**What You'll Do**
As an Engineering Manager, you will lead a team of talented engineers building the next generation of SAP's generative-AI services. You'll provide technical and people leadership, ensuring our projects deliver both innovation and enterprise reliability. Working closely with product managers, researchers, and partner teams across SAP, you'll shape roadmaps, remove execution barriers, and build a high-performing engineering culture.
**Key Responsibilities**
+ Lead, mentor, and grow a cross-functional team of engineers (junior to senior) delivering production-grade AI workflows.
+ Drive technical execution for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.
+ Partner with product leadership to define roadmaps that balance innovation with enterprise-grade scalability, governance, and security.
+ Ensure engineering excellence through code reviews, architectural oversight, and best practices in testing, deployment, and monitoring.
+ Foster a culture of collaboration, continuous learning, and experimentation within the team.
+ Coordinate with SAP AI platform teams (e.g., GenAI Hub, BTP, HANA Cloud) to align on shared infrastructure and governance standards.
+ Translate cutting-edge research (e.g., LLMs, RAG, diffusion, multimodal) into scalable, trusted enterprise solutions.
+ Manage delivery timelines, resource allocation, and stakeholder communication.
**What You Bring:**
+ 8 years of professional experience in software or machine learning engineering, including at least 2 years in engineering management or technical leadership roles.
+ Strong technical background in ML/AI (LLMs, embeddings, multimodal generation, or agentic systems).
+ Proficiency in Python or another language such as Go or TypeScript, and understanding of distributed systems is highly desirable.
+ Experience leading teams working with cloud-native infrastructure (Kubernetes, AWS/Azure), data platforms (Postgres, Cassandra, vector databases), and modern frontend frameworks (React/Next.js).
+ Proven ability to deliver production AI systems at scale with attention to quality, reliability, and security.
+ Demonstrated success in mentoring engineers, fostering team growth, and creating an inclusive, high-performance culture.
+ Excellent communication and stakeholder management skills, with experience working in cross-functional, global teams.
**Meet Your Team:**
The Experience Generation team at SAP is transforming how enterprises move from an idea to a production-ready outcome. Our trio of generative-AI services- **Deep Research & Planning** , **Experience Builder** , and **Visual Services** -empower business users to create strategic plans, role-aware micro-apps, and branded commerce imagery in minutes. Every output remains anchored to governed enterprise data and standards, ensuring both agility and trust.
Our platform combines a React/Next.js front end, a Python FastAPI backend orchestrating LangGraph sub-agents, and Gardener-managed Kubernetes for scale. Data persistence spans Postgres, Cassandra, and HANA Cloud's new vector engine, with SAP's Generative AI Hub providing foundation model choice and governance. Together, these systems deliver an enterprise-grade substrate for controllable, scalable AI workflows across all SAP lines of business.
#SAPInternalT4PM
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program ( , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
**AI Usage in the Recruitment Process**
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process ( .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Total Number of Openings
1
About the position:
We are actively searching for a talented and experienced Machine Learning (ML) Engineer to join our team. As a Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles. Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. Join us and be at the forefront of innovation in the field of machine learning.
Key Responsibilities:
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
Required Qualifications:
- Azure Machine Learning and MLOPS experience. 5 - 10 years of experience
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of math, probability, statistics, and algorithms
- Ability to write robust code in Python, and R
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.

**_Job Title:_**
Senior Machine Learning Engineer
**About** **Trellix:**
**Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work.** Our comprehensive, GenAI-powered platform helps organizations confronted by today's most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions.
We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at .
**_Role Overview:_**
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative Data Science and Engineering team. Reporting to the Data Science Director, you will play a critical role in building and scaling machine learning systems that power our cybersecurity products. You will work closely with data scientists and software engineers to design, develop, and deploy end-to-end ML pipelines, ensuring high performance and reliability in production. Your engineering expertise will directly contribute to solving complex challenges in areas such as threat detection, malware analysis, anomaly detection, and automated model workflows.
**About the role:**
+ As a Senior Machine Learning Engineer, you will be part of a high-impact team reporting to the Director of Data Science, focused on developing scalable, production-grade machine learning solutions to power cybersecurity products.
+ Collaborate with data scientists and engineering teams to build and scale machine learning pipelines.
+ Develop and deploy production-ready ML systems for use cases such as:Threat and attack detection,Threat hunting,Malware detection,Anomaly detection
+ Build and optimize distributed data pipelines using Apache Spark and Python.
+ Design and implement MLOps workflows including data preprocessing, model training, evaluation, and deployment.
+ Monitor and retrain ML models based on feedback and performance in production.
+ Develop model serving infrastructure for high availability, low latency, and scalability.
+ Automate and streamline feature engineering, hyperparameter tuning, and CI/CD pipelines for ML models.
+ Ensure model integration into security products with adherence to compliance and data governance standards.
**About you:**
You are an experienced ML Engineer with a strong foundation in software engineering and a passion for solving complex problems in the cybersecurity domain.
Must-Have Qualifications:
+ A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, with Mathematics/Statistics at undergraduate level
+ 4-6 years of industry experience as a Machine Learning Engineer
+ Advanced proficiency in Python and strong programming fundamentals
+ Hands-on experience with Apache Spark or PySpark for distributed data processing
+ Solid understanding of machine learning concepts and experience with ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch.
+ Experience in building, deploying, and monitoring end-to-end ML systems in production
+ Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker Pipelines).
+ Proficiency in SQL and handling large-scale data
+ Experience working with public cloud platforms (AWS, GCP, or Azure).
+ Strong software engineering practices: Git, containerisation (Docker), testing, CI/CD
**Good to Have:**
+ Knowledge of Large Language Models (LLMs) such as GPT, BERT, LLaMA, or Falcon.
+ Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)
**_Company Benefits and Perks:_**
We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
+ Retirement Plans
+ Medical, Dental and Vision Coverage
+ Paid Time Off
+ Paid Parental Leave
+ Support for Community Involvement
We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.