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data scientist

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data scientist-advanced analytics Jobs in Bangalore

data scientist-advanced analytics

ai dna data scientists

Infosys

<div>
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 4+ years of relevant in advanced analytics and model development.
 </li>
 <li>
 4+ years of hands-on experience in Python and other open-source analytical tools.
 </li>
 <li>
 Strong expertise in data analytics, data handling, and statistical programming using modern IT tools.
 </li>
 <li>
 Understanding of Data Warehousing, Business Intelligence, and AI-based solutions.
 </li>
 <li>
 Proven experience in Agile methodologies, including iterative development and sprint planning.
 </li>
 <li>
 Experience working in highly regulated environments, ensuring data governance and compliance.
 </li>
 <li>
 Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Familiarity with release governance processes and incident management tools (e.g., ServiceNow, JIRA). ________________________________________ Key Responsibilities
 </li>
 <li>
 Work on end-to-end data science engagements from problem definition to solution development.
 </li>
 <li>
 Design and implement advanced analytical models and process frameworks.
 </li>
 <li>
 Collaborate with different stakeholders, providing domain and technical thought.
 </li>
 <li>
 Perform Fit/Gap analysis and translate business needs into actionable data solutions.
 </li>
 <li>
 Ensure compliance with release governance and manage incidents using industry-standard tools.
 </li>
 <li>
 Contribute to Unit/Organizational initiatives, including Centers of Excellence (COEs). ________________________________________
 </li>
 </ul>
</div>

AI/DNA-Data Scientists

Property Finder

<div>
 
 
 DUBAI BASED ROLE.
 
 Relocation would be required but with highly competitive, tax free salary package.
 
 
 
 
 
 
 
 
 
 Company Profil
 
 e:
 
 
 
 
 <ul>
 <li>
 Property Finder is the leading digital real estate platform in the Middle East and North Africa region.
 </li>
 <li>
 A UAE-born startup, Property Finder expanded its operations to Qatar, Bahrain, Saudi Arabia, Egypt and Turkey over the years
 </li>
 <li>
 The company is one of the largest technology start-ups in the region and Tech Unicorn.
 </li>
 </ul>
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are seeking an accomplished
 
 Senior Data Scientist
 
 with deep expertise in
 
 Generative AI
 
 , and solid foundations in
 
 ML Engineering
 
 to join our forward-thinking AI &amp; Data Science team. You will play a pivotal role in leading cutting-edge AI initiatives, scaling data-driven strategies, and shaping the future of AI at Property Finder.
 
 
 
 
 
 This senior role requires strong technical and research depth, a collaborative mindset, and a proven ability to translate business challenges into impactful AI solutions. You will also act as a mentor to junior scientists and influence strategic decision-making across the company.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Lead the design and implementation of complex predictive and optimization models using classical ML/statistical methods, deep learning architectures, and generative techniques.
 </li>
 <li>
 Drive innovation in Large Language Models (LLMs), Generative AI, and Agentic AI&mdash;pioneering new applications such as enhanced personalization, lead qualification, content generation, and workflow automation.
 </li>
 <li>
 Own the end-to-end ML lifecycle: from hypothesis generation, experimentation, evaluation, and explainability, to scalable deployment in production systems.
 </li>
 <li>
 Develop and enforce rigorous evaluation and monitoring pipelines, including A/B testing, drift detection, and model fairness/robustness.
 </li>
 <li>
 Guide the development of advanced analytics and visualization solutions to support strategic business decisions at scale.
 </li>
 <li>
 Collaborate closely with engineering teams to ensure resilient, low-latency, and production-grade deployment of AI systems.
 </li>
 <li>
 Embed trust, transparency, and auditability in all models&mdash;ensuring alignment with ethical AI and governance frameworks.
 </li>
 <li>
 Stay abreast of the latest in AI research and industry trends to keep our technology stack at the forefront.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 
 
 
 <ul>
 <li>
 Act as a technical leader and mentor for junior team members, fostering a culture of excellence, innovation, and continuous learning.
 </li>
 <li>
 Collaborate with Data Platform and Engineering teams to optimize model deployment pipelines and infrastructure.
 </li>
 <li>
 Partner with Product, Strategy, Commercial, and Executive stakeholders to define AI roadmaps, align on business priorities, and communicate insights effectively.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Master&rsquo;s or PhD in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 5+ years of experience in applied data science or machine learning engineering roles.
 </li>
 <li>
 Proven track record of deploying models in production environments with measurable business impact.
 </li>
 <li>
 Experience guiding junior data scientists or leading end-to-end ML projects independently.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 
 
 
 <ul>
 <li>
 Expertise in supervised/unsupervised learning, deep learning (CNNs, RNNs, transformers), and statistical modeling.
 </li>
 <li>
 Strong foundation in scenario modeling, optimization, and evaluation metrics for performance and fairness.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, scikit-learn) and deep learning libraries (PyTorch or TensorFlow).
 </li>
 <li>
 Hands-on experience with LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Experience integrating ML models via APIs and embedding AI in enterprise systems.
 </li>
 <li>
 Deep knowledge of cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with ML pipelines, model registries, CI/CD, Git-based version control, and production monitoring.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 Exceptional communication and stakeholder management skills across technical and non-technical audiences.
 </li>
 <li>
 Strategic thinking with the ability to connect AI/ML capabilities to core business goals.
 </li>
 <li>
 Demonstrated ability to thrive in a fast-paced, collaborative, and dynamic environment.Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Senior Data Scientist (Based in Dubai)

SatSure

<div>
 We are looking for a Director of AI/ML R&amp;D for our Earth Observation Data Team, you will spearhead the development and implementation of cutting-edge AI and machine learning initiatives. You will lead a multidisciplinary team of data scientists, engineers, and researchers to enhance our capabilities in processing and analyzing earth observation data, delivering impactful solutions for our stakeholders.
 
 
 
 About SatSure
 
 
 
 SatSure is a deep tech, decision intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
 
 
 If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Research &amp; Development: Stay informed of the latest trends and advancements in AI/ML and earth observation, driving R&amp;D initiatives that enhance our competitive edge.
 </li>
 <li>
 Technical Expertise: Provide guidance on the application of advanced machine learning algorithms and data processing techniques tailored to earth observation data.
 </li>
 <li>
 Project Execution: Oversee the full project lifecycle for AI/ML applications, from ideation and design to implementation and evaluation, ensuring timely delivery of high-quality results.
 </li>
 <li>
 Performance Metrics: Establish and monitor key performance indicators (KPIs) to assess project success and impact.
 </li>
 <li>
 Strategic Leadership: Develop and execute the strategic vision for AI/ML initiatives in earth observation, aligning with organizational goals and market needs.
 </li>
 <li>
 Team Management: Lead and mentor a diverse team of professionals, fostering a collaborative and innovative environment that encourages professional growth.
 </li>
 <li>
 Collaboration: Partner with internal stakeholders and external organizations to identify opportunities for AI/ML integration and innovation.
 </li>
 <li>
 Stakeholder Communication: Effectively communicate technical concepts and project outcomes to non-technical stakeholders, translating data insights into actionable strategies.
 </li>
 <li>
 Partnership Development: Cultivate relationships with academic institutions, industry leaders, and research organizations to foster collaboration and knowledge sharing.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in Computer Science, Data Science, Environmental Science, or a related field.
 </li>
 <li>
 10+ years of experience in AI/ML, with at least 5 years in a leadership role.
 
 
 </li>
 </ul>
 
 Must-have
 
 
 
 <ul>
 <li>
 Proven track record of successful project management and team leadership.
 </li>
 <li>
 Strong expertise in machine learning algorithms, data analysis, and earth observation technologies.
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex concepts to diverse audiences.
 </li>
 <li>
 Experience with large datasets and data management practices.
 </li>
 <li>
 Passion for leveraging technology in Agriculture, Infrastructure, and Utilities along with addressing environmental challenges.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Cover for you and your family including unlimited online doctor consultations
 </li>
 <li>
 Access to mental health experts for you and your family
 </li>
 <li>
 Dedicated allowances for learning and skill development
 </li>
 <li>
 Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
 </li>
 <li>
 Twice a year appraisal
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 <ul>
 <li>
 Intro call
 </li>
 <li>
 Assessment
 </li>
 <li>
 Presentation
 </li>
 <li>
 Interview rounds (ideally up to 3-4 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
</div>

Director of AI/ML Research & Development

<div>
 
 We are looking for a Director of AI/ML R&amp;D for our Earth Observation Data Team, you will spearhead the development and implementation of cutting-edge AI and machine learning initiatives. You will lead a multidisciplinary team of data scientists, engineers, and researchers to enhance our capabilities in processing and analyzing earth observation data, delivering impactful solutions for our stakeholders.
 
 
 
 
 
 
 
 About SatSure:
 
 
 
 
 SatSure is a deep tech, decision intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
 
 
 
 
 
 If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 Research &amp; Development:
 
 Stay informed of the latest trends and advancements in AI/ML and earth observation, driving R&amp;D initiatives that enhance our competitive edge.
 </li>
 <li>
 
 Technical Expertise:
 
 Provide guidance on the application of advanced machine learning algorithms and data processing techniques tailored to earth observation data.
 </li>
 <li>
 
 Project Execution:
 
 Oversee the full project lifecycle for AI/ML applications, from ideation and design to implementation and evaluation, ensuring timely delivery of high-quality results.
 </li>
 <li>
 
 Performance Metrics:
 
 Establish and monitor key performance indicators (KPIs) to assess project success and impact.
 </li>
 <li>
 
 Strategic Leadership:
 
 Develop and execute the strategic vision for AI/ML initiatives in earth observation, aligning with organizational goals and market needs.
 </li>
 <li>
 
 Team Management:
 
 Lead and mentor a diverse team of professionals, fostering a collaborative and innovative environment that encourages professional growth.
 </li>
 <li>
 
 Collaboration:
 
 Partner with internal stakeholders and external organizations to identify opportunities for AI/ML integration and innovation.
 </li>
 <li>
 
 Stakeholder Communication:
 
 Effectively communicate technical concepts and project outcomes to non-technical stakeholders, translating data insights into actionable strategies.
 </li>
 <li>
 
 Partnership Development:
 
 Cultivate relationships with academic institutions, industry leaders, and research organizations to foster collaboration and knowledge sharing.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in Computer Science, Data Science, Environmental Science, or a related field.
 </li>
 <li>
 10+ years of experience in AI/ML, with at least 5 years in a leadership role.
 </li>
 </ul>
 
 
 
 
 
 
 Must-have:
 
 
 
 
 
 
 <ul>
 <li>
 Proven track record of successful project management and team leadership.
 </li>
 <li>
 Strong expertise in machine learning algorithms, data analysis, and earth observation technologies.
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex concepts to diverse audiences.
 </li>
 <li>
 Experience with large datasets and data management practices.
 </li>
 <li>
 Passion for leveraging technology in Agriculture, Infrastructure, and Utilities along with addressing environmental challenges.
 </li>
 </ul>
 
 
 
 
 
 
 Benefits:
 
 
 
 
 
 
 <ul>
 <li>
 Medical Health Cover for you and your family including unlimited online doctor consultations
 </li>
 <li>
 Access to mental health experts for you and your family
 </li>
 <li>
 Dedicated allowances for learning and skill development
 </li>
 <li>
 Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
 </li>
 <li>
 Twice a year appraisal
 </li>
 </ul>
 
 
 
 
 
 
 Interview Process:
 
 
 
 
 
 
 <ul>
 <li>
 Intro call
 </li>
 <li>
 Assessment
 </li>
 <li>
 Presentation
 </li>
 <li>
 Interview rounds (ideally up to 3-4 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
</div>

<div>
 
 Introduction
 
 
 
 IBM CIO Technology Platform Transformation
 
 
 The IBM CIO Technology Platform Transformation team plays a crucial role in modernizing and optimizing IBM's technology infrastructure and platforms. The team aims to power AI-enabled experiences through AI-first technology platforms that enable and streamline existing processes, enhance security, and improve user experience by leveraging cutting-edge technologies such as artificial intelligence, machine learning, and cloud computing.
 
 
 As part of IBM's CIO TPT team, we will contribute to transformative projects that redefine enterprise operations using AI. We will directly influence productivity, user experience, and strategic decision-making across IBM.
 
 
 
 Some Of The Key Responsibilities Of This Group Include
 
 
 
 <ul>
 <li>
 Driving the adoption of emerging technologies to optimize and automate various business functions, keeping an AI-first approach with a digital experience.
 </li>
 <li>
 Enable best in class IT with enhanced cybersecurity measures to protect sensitive information and maintain regulatory compliance.
 </li>
 <li>
 Modernizing legacy systems and integrating disparate applications to improve interoperability and reduce technical debt.
 </li>
 <li>
 Collaborating with other departments and teams to align technology efforts with broader corporate objectives.
 </li>
 <li>
 Providing guidance and expertise on technology trends, best practices, and standards.
 
 
 </li>
 </ul>
 This team comprises professionals with diverse backgrounds in software engineering, data science, network architecture, and security. By fostering a culture of innovation and continuous improvement, the team strives to achieve its mission of making IBM the most productive company in the world.
 
 
 
 Role Overview
 
 
 
 
 Your role and responsibilities
 
 
 
 As an AI Engineer/SW Developer, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Implement AI, Data Science, and Technical Execution:
 </li>
 <li>
 Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements.
 </li>
 <li>
 Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
 </li>
 <li>
 Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
 </li>
 <li>
 Collect, clean, and preprocess structured and unstructured datasets.
 </li>
 <li>
 Help refine data-driven methodologies for transformation projects.
 </li>
 <li>
 Learn and utilize cloud platforms to ensure the scalability of AI solutions.
 </li>
 <li>
 Leverage reusable assets and apply IBM standards for data science and development.
 </li>
 <li>
 Apply ML Ops and AI ethics.
 </li>
 <li>
 Strategic Planning &amp; Execution
 </li>
 <li>
 Translate business requirements into technical strategies.
 </li>
 <li>
 Ensure alignment to stakeholders&rsquo; strategic direction and tactical needs.
 </li>
 <li>
 Apply business acumen to analyze business problems and develop solutions.
 </li>
 <li>
 Collaborate with stakeholders and team to prioritize work.
 </li>
 <li>
 Project Management and Delivering Business Outcomes:
 </li>
 <li>
 Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment.
 </li>
 <li>
 Use agile strategies to manage and execute work.
 </li>
 <li>
 Monitor project timelines and help resolve technical challenges.
 </li>
 <li>
 Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
 </li>
 <li>
 Communication and Collaboration:
 </li>
 <li>
 Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences.
 </li>
 <li>
 Create compelling data visualizations and dashboards.
 </li>
 <li>
 Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 Required technical and professional expertise
 
 
 
 Hands-on Experience with AI/ML technologies and statistical modelling through coursework, projects, or past internships or full-time positions. Participation in AI/Data-related summits will be an added advantage ( eg. Kaggle/Hackathons)
 
 
 <ul>
 <li>
 Experience with prompt engineering or fine-tuning LLMs.
 </li>
 <li>
 Familiarity with tools like Lang Chain, Hugging Face Transformers, or OpenAI APIs.
 </li>
 <li>
 Understanding of model evaluation metrics specific to LLMs
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in SQL and Python for performing data analysis and developing machine learning models.
 </li>
 <li>
 Experience and/or coursework in statistics, machine learning, generative and traditional AI.
 </li>
 <li>
 Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.
 </li>
 <li>
 Familiarity with cloud-based platforms and data processing frameworks.
 </li>
 <li>
 Understanding of large language models (LLMs).
 </li>
 <li>
 Familiarity with object-oriented programming.
 </li>
 <li>
 Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
 </li>
 <li>
 Knowledge of APIs, Docker, Flask, or model serving technologies
 </li>
 <li>
 Experience with tools like Jupyter, Git, or cloud platforms (AWS, Azure, IBM Cloud)
 
 
 </li>
 </ul>
 
 Strategic And Analytical Skills
 
 
 
 <ul>
 <li>
 Strategic thinking and business acumen.
 </li>
 <li>
 Strong problem-solving abilities and eagerness to learn.
 </li>
 <li>
 Ability to work with datasets and derive insights.
 </li>
 <li>
 Attention to detail.
 
 
 </li>
 </ul>
 
 Communications And Soft Skills
 
 
 
 <ul>
 <li>
 Excellent communication skills, with the ability to explain technical concepts clearly.
 </li>
 <li>
 Independent and team oriented.
 </li>
 <li>
 Understands AI Ethics principles.
 </li>
 <li>
 Works openly and inclusively.
 </li>
 <li>
 Adaptable to fast-paced environments.
 </li>
 <li>
 Enthusiasm for learning and applying new technologies.
 </li>
 <li>
 Growth mindset.
 </li>
 <li>
 Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
 </li>
 </ul>
</div>

Data Scientist

Google DeepMind

<div>
 Snapshot
 
 
 Artificial Intelligence could be one of humanity&rsquo;s most useful inventions. At Google DeepMind, we&rsquo;re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
 
 
 
 About Us
 
 
 
 The AnthroKrishi team at Google DeepMind is building a digital understanding of global agriculture to ensure a sustainable and food-secure future. We develop and deploy AI models that operate at a planetary scale, turning satellite data into actionable intelligence. Our work helps farmers, policymakers, and humanitarian organizations worldwide. We are solving fundamental AI challenges to address one of humanity's greatest needs. Join us to build AI for the benefit of humanity.
 
 
 Refer to our website here.
 
 
 The role
 
 
 As a Research Scientist on the AnthroKrishi team, you will develop next-generation AI to address global challenges in food security and climate change. You will lead research that pushes the boundaries of computer vision and machine learning, with a direct path to impacting global agricultural systems.
 
 
 Key responsibilities
 
 
 <ul>
 <li>
 Pioneering novel computer vision models to create a unified understanding of agriculture from diverse satellite data sources.
 </li>
 <li>
 Solving core AI problems by developing generalizable models that are robust across varied agricultural systems, from smallholder farms to large-scale industrial fields.
 </li>
 <li>
 Leading research toward the grand challenge of field-level crop yield forecasting. This involves advancing spatio-temporal reasoning and learning effectively from limited or sparse data.
 </li>
 <li>
 Designing and executing large-scale experiments, writing high-quality, reusable code (JAX preferred), and contributing to a production-ready system.
 </li>
 <li>
 Mentoring junior researchers, collaborating with cross-functional teams across Google, and publishing your work at top-tier conferences.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact. You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI.
 
 
 Minimum Qualifications:
 
 
 <ul>
 <li>
 PhD or equivalent practical research experience in Computer Science, AI, or a related field with a focus on computer vision and/or machine learning.
 </li>
 <li>
 A strong publication record in top-tier AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR).
 </li>
 <li>
 Hands-on experience building and training deep learning models in frameworks such as JAX, TensorFlow, or PyTorch.
 
 
 </li>
 </ul>
 
 In addition, the following would be an advantage:
 
 
 
 <ul>
 <li>
 Demonstrated expertise in one or more of the following: generative models, segmentation algorithms, multi-modal fusion, spatio-temporal analysis.
 </li>
 <li>
 Experience with or a strong interest in remote sensing or geospatial data.
 </li>
 <li>
 A passion for applying AI to solve large-scale societal challenges like climate change and food security.
 </li>
 <li>
 Experience mentoring students or junior researchers.
 
 
 </li>
 </ul>
 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
</div>

Research Scientist, AnthroKrishi

Aditi India

<div>
 
 
 
 
 Summary:
 
 
 You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation.
 
 You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 
 
 Redesign and optimize MLOps and decision platform for fraud detection
 
 
 </li>
 <li>
 
 
 Architect large-scale big-data infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention.
 
 
 </li>
 <li>
 
 
 Collaborate with data scientists and platform engineers to automate workflow
 
 
 </li>
 <li>
 
 
 Provide solutions that ensure compliance, security, and maintainability across the fraud detection ecosystem.
 
 
 </li>
 <li>
 
 
 Work with high-dimensional datasets and leverage tools like Python, PySpark, and Big Query to develop robust workflows for fraud signal detection.
 
 
 </li>
 <li>
 
 
 Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
 
 
 </li>
 <li>
 
 
 Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
 
 
 </li>
 <li>
 
 
 Will work with Core Automation team&rsquo;s Tech leads/managers closely
 
 
 </li>
 <li>
 
 
 Rebuild together with Engineer teams on our next generation risk platform (NGRP)
 
 
 </li>
 <li>
 
 
 We have a tight timeline to meet decision engine adoption plan
 
 
 </li>
 <li>
 
 
 You will be part of our pioneer working team launching our NGRP
 
 
 </li>
 </ul>
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 
 
 At least 6 years above
 
 
 </li>
 <li>
 
 
 MS above
 
 
 </li>
 <li>
 
 
 STEM only
 
 
 </li>
 <li>
 
 
 Python code, Big Query
 
 
 </li>
 <li>
 
 
 Understand the production systems architect overview
 
 
 </li>
 </ul>
 
 
 &nbsp;
 
 #AditiIndia
 
 #25-23290
 
 
 
</div>

Machine Learning/AI Engineer

Explore 65+ Ai dna data scientists in Bangalore this December. Find roles across top companies and apply now to boost your career.

65 ai dna data scientists jobs IN Bangalore

AI/DNA-Data Scientists

Senior Data Scientist (Based in Dubai)

Director of AI/ML Research & Development

Director of AI/ML Research & Development

Data Scientist

Research Scientist, AnthroKrishi

Machine Learning/AI Engineer