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Deloitte

<div>
 
 
 Customer Strategy &amp; Insights (Data Scientist/Data Engineer)
 
 
 
 
 Location:
 
 Deloitte - Bellandur, Bengaluru (Must)
 
 
 
 Shift:
 
 US/PST Shift
 
 
 
 Experience Level:
 
 3&ndash;9 years
 
 
 
 Notice Period:
 
 Immediate to 30 days only.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking experienced and business-savvy
 
 Data Scientist/Data Engineer
 
 to join our team supporting High-tech clients. You will solve complex problems using advanced analytics, statistical modeling, and machine learning to drive measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Perform exploratory data analysis and generate actionable insights.
 </li>
 <li>
 Work on classification, regression, clustering, recommendation, and forecasting models.
 </li>
 <li>
 Translate business needs into analytical frameworks and articulate insights to non-technical stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams including data engineers, business analysts and product owners.
 </li>
 <li>
 Develop and deploy machine learning models to solve real-world business challenges.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 3&ndash;9 years of hands-on experience in data science.
 </li>
 <li>
 Expertise in
 
 Python/R
 
 and ML libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch)
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and data wrangling
 </li>
 <li>
 Strong statistical grounding and experience with
 
 A/B testing
 
 , hypothesis testing
 </li>
 <li>
 Cloud platform experience (GCP preferred; AWS/Azure acceptable)
 </li>
 <li>
 Excellent communication, storytelling, and stakeholder engagement skills
 </li>
 <li>
 Consulting background or experience working with global clients is highly valued
 </li>
 <li>
 Good academic pedigree in quantitative disciplines (Math, Stats, CS, Engineering)
 </li>
 </ul>
 
 
 
 
 
 Additional Notes:
 
 
 <ul>
 <li>
 The first project requires working in
 
 US/PST hours
 
 from the
 
 Deloitte-Bellandur office all 5 days a week
 
 .
 </li>
 <li>
 Future projects might align to
 
 standard Indian business hours
 
 .
 </li>
 </ul>
</div>

Data Scientist

sugar.fit

<div>
 
 
 About Sugar.fit
 
 
 
 Founded in 2021 Sugar.fit provides a personalized evidence-based path to type 2 and
 
 
 pre-diabetes reversal and management. Sugar.fit leverages a precision health platform
 
 
 combining CGM sensors, machine learning, and medical science to improve human
 
 
 metabolic health and reverse chronic disease through precision nutrition, progressive fitness,
 
 
 and behavioral health advice. Our research-driven treatment plan includes innovative
 
 
 technology, compassionate diabetes experts, and personalized plans, which will help to lead
 
 
 a normal life once more.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Function
 
 : Data Science and Analysis - Data Science / Machine Learning
 
 
 
 Responsibilities:
 
 
 
 ● Quick Learners.
 
 
 ● Prior knowledge of ReactJS is a must.
 
 
 ● Comfortable with "Build fast and iterate".
 
 
 ● Project members at Sugarfit don't own code.
 
 
 ● Analyze raw data: assessing quality, cleansing, and structuring for downstream
 
 
 processing.
 
 
 ● Design accurate and scalable prediction algorithms.
 
 
 ● Collaborate with the engineering team to bring analytical prototypes to production.
 
 
 ● Generate actionable insights for business improvements.
 
 
 
 
 
 
 Requirements:
 
 
 
 ● Strong problem-solving skills with an emphasis on product development.
 
 
 ● Experience using statistical computer languages (R, Python, SLQ, etc. ) to
 
 
 manipulate data and draw insights from large data sets.
 
 
 ● Knowledge of a variety of machine learning techniques (clustering, decision tree
 
 
 learning, artificial neural networks, etc. ) and their real-world advantages/drawbacks.
 
 
 ● Excellent written and verbal communication skills for coordinating across teams.
 
 
 ● A drive to learn and master new technologies and techniques.
 
 
 ● At least 3 years of experience in quantitative analytics or data modeling.
 
 
 ● Deep understanding of predictive modeling, machine learning, clustering and
 
 
 classification techniques, and algorithms.
 
 
 ● Fluency in a programming language (Python, C, C++, Java, SQL).
 
 
 ● Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop,
 
 
 Spark, Tableau).
 
</div>

Societe Generale Global Solution Centre

<div>
 <ul>
 <li>
 
 
 JD: Data Scientist
 
 
 </li>
 <li>
 
 Responsibilities:
 
 </li>
 <li>
 Leverage strong ML model experience in complex data environments to achieve business objectives in innovative and efficient ways.
 </li>
 <li>
 Utilize a solid background in mathematics and statistics to inform model development and evaluation.
 </li>
 <li>
 Design, architect, and develop robust machine learning solutions, with a focus on integrating Large Language Models (LLMs) where applicable.
 </li>
 <li>
 Collaborate effectively within Agile Scrum teams, contributing to iterative development and continuous improvement.
 </li>
 <li>
 Document business processes, workflows, and requirements clearly and comprehensively.
 </li>
 <li>
 Engage in close collaboration with various domains within the organization to ensure alignment and understanding of business needs.
 </li>
 <li>
 Participate in collaborative conceptualization sessions to brainstorm and refine project ideas.
 </li>
 <li>
 
 Mandatory Skills:
 
 </li>
 <li>
 Proficiency in Python, Machine Learning, REST API, and SQL.
 </li>
 <li>
 Experience with data processing, cleansing, and verification to ensure data integrity for analysis.
 </li>
 <li>
 Conduct data quality checks and exploratory analyses to inform model development.
 </li>
 <li>
 Demonstrated programming skills in relevant languages, particularly Python and API development.
 </li>
 <li>
 Build end-to-end machine learning models, including data structures and transformation processes.
 </li>
 <li>
 Strong understanding of statistical modeling techniques (e.g., Regression, Clustering, Decision Trees, Logistic Regression).
 </li>
 <li>
 Familiarity with machine learning algorithms (e.g., KNN, Random Forests, Ensemble Methods, Bayesian/Markov Networks).
 </li>
 <li>
 Knowledge of data mining concepts and experience with data visualization tools and dashboards.
 </li>
 <li>
 
 Preferred Skills:
 
 </li>
 <li>
 Experience with Large Language Models (LLMs) such as GPT, BERT, or similar architectures.
 </li>
 <li>
 Understanding of natural language processing (NLP) techniques and their applications in business contexts.
 </li>
 <li>
 Familiarity with advanced research topics, including deep learning, kernel methods, spectral methods, and forecasting.
 </li>
 <li>
 Ability to integrate end-to-end ML solutions into product suites and business functions, with a focus on LLM applications.
 </li>
 <li>
 Design technical frameworks based on various use cases, particularly those involving text data and language understanding.
 </li>
 <li>
 Identify opportunities to automate analytical processes, data extraction, and flow processes, especially in the context of LLMs.
 </li>
 <li>
 Propose hypotheses and design experiments to address specific problems, leveraging LLM capabilities where relevant.
 </li>
 <li>
 
 Additional Responsibilities:
 
 </li>
 <li>
 Stay updated with the latest advancements in machine learning and natural language processing, particularly in the context of LLMs.
 </li>
 <li>
 Mentor junior team members on best practices in machine learning and LLM implementation.
 </li>
 <li>
 Contribute to the development of best practices and standards for machine learning and LLM projects within the organization.
 </li>
 </ul>
 
 Why Join Us
 
 
 We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
 
 
 Business Insight
 
 
 At Soci&eacute;t&eacute; G&eacute;n&eacute;rale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you&rsquo;re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!
 
 
 Still hesitating?
 
 
 You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.
 
 
 We are committed to support accelerating our Group&rsquo;s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.
 
</div>

Cashfree Payments

<div>
 
 Cashfree Payments is India&rsquo;s leading payments and API banking company. It provides full-stack payment solutions for businesses in India to accept payments and make payouts via 180+ payment modes - all with a simple integration. Over 6,00,000+ Businesses trust Cashfree Payments with payment collections, vendor payouts, salary payouts, bulk refunds, expense reimbursements, loyalty and rewards, and so much more.
 
 
 We enable businesses of all we are building the payments infrastructure of tomorrow, today.
 
 
 We entered the payments industry in 2015 to facilitate Cash-on-Delivery payments for e-commerce businesses. We are also contributing to the pace of digitization of India by working closely with traditional banks to increase ease and convenience for last-mile customers.
 
 
 
 
 
 
 
 
 
 About the role:
 
 
 
 As the Data Scientist-2, you will :
 
 
 &bull; Work with stakeholders to define and own data science road map for one or more business areas and build the data science projects at Cashfree from scratch.
 
 
 &bull; Deliver scalable machine learning solutions to production
 
 
 &bull; Provide technical and scientific leadership to the team
 
 
 &bull; Roll up your sleeves and do hands-on work when needed
 
 
 &bull; Build strong working relationships and collaboration with leaders in product, business, and engineering teams
 
 
 &bull; Establish and improve the best data science and engineering practices for the team
 
 
 &bull; Maintain a healthy balance between delivery and applied research
 
 
 
 
 
 
 Profile :
 
 
 
 &bull; In-depth understanding of modern machine learning techniques and their mathematical underpinnings.
 
 
 &bull; 3+ years of experience in applying machine learning and statistical methods to solve complex problems at scale.
 
 
 &bull; Experience with big data technologies
 
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 Everyone is empowered to make decisions.
 </li>
 <li>
 Transparency in communication keep us aware of where we are heading, and honest feedback helps everyone to grow quickly and in all directions.
 </li>
 <li>
 You also have flexible timings and a great office space to work in.
 </li>
 <li>
 Meal coupons and Uber Credits.
 </li>
 </ul>
</div>

Data Scientist-2

PhonePe

<div>
 
 About PhonePe Limited:
 
 
 
 Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.
 
 
 PhonePe&rsquo;s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company&rsquo;s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.
 
 
 
 Culture:
 
 
 
 At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you&rsquo;re excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!
 
 
 
 Job Description
 
 
 
 We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and implement machine learning models, offline batch models as well as real time online and edge compute models
 </li>
 <li>
 Analyze complex datasets and extract meaningful insights to drive business decisions
 </li>
 <li>
 Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches
 </li>
 <li>
 Communicate findings and recommendations to stakeholders effectively
 
 
 </li>
 </ul>
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
 </li>
 <li>
 3+ years of experience in a Data Scientist role
 </li>
 <li>
 Strong proficiency in Python and SQL
 </li>
 <li>
 Solid understanding of machine learning algorithms and statistical modeling techniques
 </li>
 <li>
 Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms
 </li>
 <li>
 Hands-on experience implementing and deploying machine learning algorithms
 </li>
 <li>
 Experience with data visualization tools and techniques
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication skills, both written and verbal
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with PySpark and other big data processing frameworks
 </li>
 <li>
 Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch)
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Programming Languages: Python (required), SQL (required), Java (basic knowledge preferred)
 </li>
 <li>
 Machine Learning: Strong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision
 </li>
 <li>
 Big Data: Deep knowledge of PySpark
 </li>
 <li>
 Data Storage and Retrieval: Familiarity with databases/mlflow preferred
 </li>
 <li>
 Mathematics: Strong background in statistics, linear algebra, and probability theory
 </li>
 <li>
 Version Control: Git
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Excellent communication skills to facilitate interactions with stakeholders
 </li>
 <li>
 Ability to explain complex technical concepts to non-technical audiences
 </li>
 <li>
 Strong problem-solving and analytical thinking
 </li>
 <li>
 Self-motivated and able to work independently as well as in a team environment
 </li>
 <li>
 Curiosity and eagerness to learn new technologies and methodologies
 
 
 </li>
 </ul>
 We're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply!
 
 
 
 PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)
 
 
 
 <ul>
 <li>
 Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance
 </li>
 <li>
 Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System
 </li>
 <li>
 Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program
 </li>
 <li>
 Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy
 </li>
 <li>
 Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment
 </li>
 <li>
 Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy
 
 
 </li>
 </ul>
 
 
 Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process,
 
 
 
 
 please fill out this form.
 
 
 
 
 
 
 Read more about PhonePe
 
 
 
 
 on our blog
 
 
 
 
 .
 
 
 
 
 
 Life at PhonePe
 
 
 
 
 PhonePe in the news
 
</div>

Data Scientist (3-5)

Netcore Cloud

<div>
 
 
 
 Who We Are:
 
 
 
 
 Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.
 
 
 
 
 
 
 Role Summary:
 
 
 
 As a Senior Data Scientist, you&rsquo;ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.
 
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 Model Development and Innovation
 
 :
 
 <ul>
 <li>
 Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation
 </li>
 <li>
 Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.
 </li>
 <li>
 Optimise model performance, scalability, and interpretability for production systems.
 </li>
 </ul>
 
 
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Contribute to the deployment of models into production environments using MLOps best practices.
 </li>
 <li>
 Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models.
 </li>
 </ul>
 
 
 Data &amp; Experimentation
 
 
 <ul>
 <li>
 Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation.
 </li>
 <li>
 Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.
 </li>
 </ul>
 
 
 Technology and Tools
 
 :
 
 <ul>
 <li>
 Work with large-scale datasets, ensuring data quality and scalability of solutions.
 </li>
 <li>
 Leverage cloud platforms like AWS, GCP for model training and deployment.
 </li>
 <li>
 Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.
 </li>
 <li>
 With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.
 </li>
 </ul>
 
 
 Cross-functional Collaboration
 
 
 <ul>
 <li>
 Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Who You Are:
 
 
 
 
 
 Education
 
 :
 
 <ul>
 <li>
 Bachelors from Tier 1 premier institute in relevant field, or;
 </li>
 <li>
 Master&rsquo;s or PhD in Computer Science, Data Science, Mathematics, or a related field.
 </li>
 </ul>
 
 
 Experience
 
 :
 
 <ul>
 <li>
 
 4&ndash;6 years
 
 of hands-on experience in machine learning or data science roles.
 </li>
 <li>
 Proven expertise in machine learning, deep learning, NLP, and recommendation systems.
 </li>
 <li>
 Hands-on experience deploying ML models in production at scale.
 </li>
 <li>
 Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.
 </li>
 </ul>
 
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of statistical methods, predictive modeling, and algorithm design.
 </li>
 <li>
 Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).
 </li>
 </ul>
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset.
 </li>
 <li>
 Excellent communication skills to articulate data-driven insights.
 </li>
 <li>
 A passion for innovation and staying up-to-date with the latest trends in AI/ML.
 </li>
 </ul>
 
 
 
 
 
 
 Why Join Us:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI/ML projects impacting millions of users.
 </li>
 <li>
 Be part of a collaborative, innovation-driven team in a fast-growing Martech company.
 </li>
 <li>
 Competitive compensation and growth opportunities in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 We&rsquo;d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)
 
</div>

Senior Data Scientist

Oracle

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC3
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist 3

Explore 144+ Machine learning engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.

144 machine learning engineer jobs IN Mangaluru

Data Scientist

Data Scientist

Data Scientist

Data Scientist-2

Data Scientist (3-5)

Senior Data Scientist

Applied Scientist 3