software engineer

associate, ml data operations, go-ai operations Jobs in Hyderabad

associate, ml data operations, go-ai operations

associate software engineer Jobs in Hyderabad

associate software engineer

data engineer

data test engineer

machine learning engineer

DAZN India

<div>
 
 Is your next career move to work in a team which uses data, reporting and analytical skills to help answer business questions to make DAZN a data-driven company?
 
 
 DAZN is a tech-first sport streaming platform that reaches millions of users every week. We are challenging a traditional industry and giving power back to the fans. Our new Hyderabad tech hub will be the engine that drives us forward to the future. We&rsquo;re pushing boundaries and doing things no-one has done before. Here, you have the opportunity to make your mark and the power to make change happen - to make a difference for our customers. When you join DAZN you will work on projects that impact millions of lives thanks to your critical contributions to our global products
 
 
 This is the perfect place to work if you are passionate about technology and want an opportunity to use your creativity to help grow and scale a global range of IT systems, Infrastructure, and IT Services. Our cutting-edge technology allows us to stream sports content to millions of concurrent viewers globally across multiple platforms and devices. DAZN&rsquo;s Cloud based architecture unifies a range of technologies to deliver a seamless user experience and support a global user base and company infrastructure.
 
 
 This role will be based in our brand-new Hyderabad office. Join us in India&rsquo;s beautiful &ldquo;City of Pearls&rdquo; and bring your ambition to life. Considering the Urgency, we are only seeking Immediate Joiners
 
 
 
 Job Title
 
 :
 
 Data Scientist
 
 
 
 
 Location: Hyderabad
 
 
 
 
 Work Mode: Work from Office.
 
 
 
 
 Seeking Immediate Joiners only
 
 .
 
 
 
 Job Summary:
 
 
 
 We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI). The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).
 
 
 You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us!
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Role Recommendation Engine, for Data accuracy-Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. With an Overall experience of (2-6 Years)
 
 
 &bull; Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.
 
 
 &bull; Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.
 
 
 
 Required Skills:
 
 
 
 &bull; Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.
 
 
 &bull; Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.
 
 
 &bull; Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.
 
 
 &bull; Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.
 
 
 &bull; Data Handling: Experience working with structured and unstructured data, including text, images, and time-series.
 
 
 
 Good to have Skills:
 
 
 
 &bull; Exposure to tools like Hugging Face Transformers for working with LLMs.
 
 
 &bull; Understanding of MLOps practices, including CI/CD pipelines for ML models.
 
 
 &bull; Experience with GPU-accelerated computing.
 
 
 &bull; Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).
 
 
 &bull; Cloud Platforms: Familiarity with cloud services like AWS
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or a related field.
 
 
 &bull; 3 - 6+ years of professional experience in Machine Learning and Deep Learning.
 
 
 &bull; Proven track record of deploying ML/DL models in production environments.
 
</div>

Data Scientist

Tezo

<div>
 
 Tezo is a new generation Digital &amp; AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence.
 
 
 
 
 
 
 Role: Data Scientist
 
 
 
 
 Experience:
 
 1-4 Years
 
 
 
 Location:
 
 Hyderabad (Hybrid)
 
 
 
 
 
 Tezo is seeking a highly motivated
 
 Data Scientist / AI Engineer
 
 with 1&ndash;4 years of professional experience in data science, machine learning, and AI solution development. In this role, you will design, develop, and deploy end-to-end data-driven solutions, working closely with cross-functional teams to solve complex business problems using advanced analytics and AI.
 
 
 
 
 
 
 Why Join Our AI/ML Practice?
 
 
 
 
 Purpose-driven:
 
 Work on projects that create meaningful impact for clients.
 
 
 
 Collaborative:
 
 Learn and contribute in a team that values sharing ideas and teamwork.
 
 
 
 Continuous Growth:
 
 Get mentorship, hands-on training, and exposure to cutting-edge tools.
 
 
 
 Accountable &amp; Trusted:
 
 Take ownership of your learning and contribute to team outcomes.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate with stakeholders to understand business challenges and translate them into data science problems.
 </li>
 <li>
 Design, develop, and optimize
 
 machine learning models
 
 (supervised, unsupervised, deep learning, NLP, etc.).
 </li>
 <li>
 Preprocess, clean, and analyze large structured and unstructured datasets.
 </li>
 <li>
 Deploy ML models into production environments using
 
 MLOps practices
 
 .
 </li>
 <li>
 Build
 
 data pipelines
 
 and work with engineers to ensure scalability and reliability of AI solutions.
 </li>
 <li>
 Conduct experiments, perform model validation, and optimize performance.
 </li>
 <li>
 Develop dashboards and visualizations to communicate insights to business teams.
 </li>
 <li>
 Mentor junior data scientists and contribute to best practices in coding, documentation, and model governance.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field.
 </li>
 <li>
 
 1&ndash;4 years of hands-on experience
 
 in data science and AI projects.
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 (preferred) or R, with expertise in
 
 Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch
 
 .
 </li>
 <li>
 Solid understanding of
 
 machine learning algorithms, deep learning, NLP, and statistical modeling
 
 .
 </li>
 <li>
 Experience with
 
 SQL
 
 and data manipulation.
 </li>
 <li>
 Exposure to
 
 MLOps tools
 
 (MLflow, Kubeflow, Docker, CI/CD pipelines).
 </li>
 <li>
 Experience working with
 
 cloud platforms
 
 (AWS, Azure, GCP).
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
 </li>
 <li>
 Experience with
 
 large language models (LLMs)
 
 and generative AI.
 </li>
 </ul>
 
 
</div>

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm India Private Limited
 
 
 
 Job Area
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 General Summary
 
 
 
 As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 Location - Hyderabad
 </li>
 <li>
 Experience - 1-5 Years
 
 
 
 </li>
 </ul>
 We are seeking an experienced Machine Learning Engineers specializing in Generative AI to join our core AI team.
 
 
 The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
 </li>
 <li>
 Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
 </li>
 <li>
 Create robust evaluation frameworks for measuring and improving model performance
 </li>
 <li>
 Build and maintain agentic workflows for autonomous AI systems
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities and implement AI solutions
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, or related technical field
 </li>
 <li>
 3+ years of experience in Machine Learning/AI engineering
 </li>
 <li>
 Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
 </li>
 <li>
 Practical experience with LLM deployments and fine-tuning
 </li>
 <li>
 Experience with vector databases and embedding models
 </li>
 <li>
 Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure)
 </li>
 <li>
 Strong understanding of RAG architectures and implementation
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
 </li>
 <li>
 Knowledge of prompt engineering and chain-of-thought techniques
 </li>
 <li>
 Experience with containerization and microservices architecture
 </li>
 <li>
 Background in NLP and deep learning
 </li>
 <li>
 Background in Reinforcement Learning
 </li>
 <li>
 Contributions to open-source AI projects
 </li>
 <li>
 Experience with ML ops and model deployment pipelines
 
 
 
 </li>
 </ul>
 
 Skills And Competencies
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Excellent communication and collaboration abilities
 </li>
 <li>
 Experience with agile development methodologies
 </li>
 <li>
 Ability to balance multiple projects and priorities
 </li>
 <li>
 Strong focus on code quality and best practices
 </li>
 <li>
 Understanding of AI ethics and responsible AI development
 
 
 
 </li>
 </ul>
 
 Applicants
 
 : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Engineer/Sr. Engineer - Gen AI/ML

Amgen

<div>
 Join Amgen's Mission to Serve Patients
 
 
 If you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. At Amgen, our shared mission&mdash;to serve patients&mdash;drives all that we do. It is key to our becoming one of the world&rsquo;s leading biotechnology companies. We are global collaborators who achieve together&mdash;researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It&rsquo;s time for a career you can be proud of.
 
 
 
 Associate Software Engineer
 
 
 
 
 Live
 
 
 
 
 What You Will Do
 
 
 
 Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role We are looking for a creative and technically skilled
 
 Associate Software Engineer
 
 to help design and build cutting-edge
 
 AI-powered solutions
 
 for the pharmaceutical industry. In this role, you'll develop intelligent systems that surface the most relevant insights from clinical trials, scientific literature, regulatory documents, and internal knowledge assets. Your work will empower researchers, clinicians, and decision-makers with faster, smarter access to the right information.
 
 
 <ul>
 <li>
 Design and implement search algorithms using NLP, machine learning, semantic understanding, and deep learning models
 </li>
 <li>
 Build and fine-tune models for information retrieval, query expansion, document ranking, summarization, and Q&amp;A systems
 </li>
 <li>
 Support integration of LLMs (e.g., GPT, BERT, BioBERT) for semantic and generative search.
 </li>
 <li>
 Train and evaluate custom models for biomedical named entity recognition, relevance ranking, and similarity search.
 </li>
 <li>
 Build and deploy vector-based search systems using embeddings and vector databases
 </li>
 <li>
 Work closely with platform engineers to integrate AI models into scalable cloud-based infrastructures (AWS, Azure, GCP)
 </li>
 <li>
 Package and deploy search services using containerization (Docker, Kubernetes) and modern MLOps pipelines.
 </li>
 <li>
 Preprocess and structure unstructured content such as clinical trial reports, research articles, and regulatory documents
 </li>
 <li>
 Apply knowledge graphs, taxonomies, and ontologies (e.g., MeSH, UMLS, SNOMED) to enhance search results
 </li>
 <li>
 Build and deploy recommendation systems models, utilize AIML infrastructure, and contribute to model optimization and data processing
 </li>
 <li>
 Experience in Generative AI on Search Engines
 </li>
 <li>
 Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. .
 </li>
 <li>
 Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis.
 </li>
 <li>
 Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI.
 </li>
 <li>
 Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging.
 </li>
 <li>
 Continually researching current and emerging technologies and proposing changes where needed.
 </li>
 <li>
 Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in computer science &amp; engineering preferred with 2-4years of software development experience OR,
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science &amp; engineering preferred with 2-5years of software development experience
 </li>
 <li>
 1&ndash;3 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains.
 </li>
 <li>
 Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers
 </li>
 <li>
 Experience with search technologies like Elasticsearch, OpenSearch, or vector search tools
 </li>
 <li>
 Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classification
 </li>
 <li>
 Hands on experience with various AI models , GCP Search Engines, GCP Cloud services
 </li>
 <li>
 Proficient in programming language AI/ML, Python, , Java Crawlers ,Java Script, SQL/NoSQL , Databricks/RDS ,Data engineering ,S3 Buckets, dynamo DB
 </li>
 <li>
 Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience in AI/ML , Java, Python
 </li>
 <li>
 Experienced with Fast Pythons API, Graphql
 </li>
 <li>
 Experience with design patterns, data structures, data modelling, data algorithms
 </li>
 <li>
 Experienced with AWS /Azure Platform, Building an deploying the code
 </li>
 <li>
 Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS ,S3 Buckets
 </li>
 <li>
 Knowledge of LLMs, generative AI, and their use in enterprise search
 </li>
 <li>
 Experience in Google cloud Search and Google cloud Storage
 </li>
 <li>
 Experience with popular large language models
 </li>
 <li>
 Experience with Langchain or llamaIndex framework for language models
 </li>
 <li>
 Experience with prompt engineering, model fine tuning
 </li>
 <li>
 Knowledge of NLP techniques for text analysis and sentiment analysis
 </li>
 <li>
 Experience in Agile software development methodologies
 </li>
 <li>
 Experience in End to End testing as part of Test Driven Development
 
 
 </li>
 </ul>
 
 Good To Have Skills
 
 
 
 <ul>
 <li>
 Willingness to work on Full stack Applications
 </li>
 <li>
 Exposure to MLOps tools like MLflow, Airflow, or SageMaker
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Excellent analytical and troubleshooting skills.
 </li>
 <li>
 Strong verbal and written communication skills.
 </li>
 <li>
 Ability to work effectively with global, remote teams.
 </li>
 <li>
 High degree of initiative and self-motivation.
 </li>
 <li>
 Ability to manage multiple priorities successfully.
 </li>
 <li>
 Team-oriented, with a focus on achieving team goals.
 </li>
 <li>
 Strong presentation and public speaking skills.
 
 
 </li>
 </ul>
 
 Thrive
 
 
 
 
 What You Can Expect Of Us
 
 
 
 As we work to develop treatments that take care of others, we also work to care for our teammates&rsquo; professional and personal growth and well-being.
 
 
 In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
 
 
 
 Apply now
 
 
 
 
 for a career that defies imagination
 
 
 
 In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
 
 
 
 careers.amgen.com
 
 
 
 Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
</div>

Associate software engineer

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience plus a Master's degree).
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 5 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).
 </li>
 <li>
 Experience with developing at least one deep learning model for business impact Experience debugging throughput and latency issues in AI.
 </li>
 <li>
 Experience handling large-scale data transformation pipelines for batch inference of ML models.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 In this role, you will partner with teams across the company to apply Google&rsquo;s best Data Science techniques to Google&rsquo;s biggest enterprise opportunities. You will partner with Research, Core Enterprise ML and Machine Learning (ML) Infrastructure teams to build solutions for the enterprise.
 
 
 The Googler Technology and Engineering (GTE) Data Science team's mission is to transform Google Enterprise business operations, supply chain, IT support and internal tooling with Artificial Intelligence (AI) and advanced analytics, enable operations and product teams to succeed in their advanced analytics projects through the use of differing engagement models, ranging from consulting to productionizing and deploying models. Build cross-functional services for use across Corp Engineering, and educate product teams on advanced analytics and ML.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Define and report Key Performance Indicators and launch impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Work with PM, User Experience (UX), and Engineering to contribute to metric-backed annual OKR setting.
 </li>
 <li>
 Come up with hypothesis to enhance performance of AI products on offline and online metrics through research on techniques around prompt engineering, RAG, supervised finetuning, in-context learning, dataset augmentation, tool-calling efficacy, planning capabilities and feedback loop with reinforcement learning.
 </li>
 <li>
 Design and develop ML strategies for data enrichment such as autoencoder based latent variables, complex heuristics, etc.
 </li>
 <li>
 Evolve variance reduction and simulation strategies to increase reliability of experiments with small sample sizes.
 </li>
 <li>
 Convert business problems into unsupervised and supervised ML modeling problems, build these model prototypes from scratch to justify business impact hypothesis.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Product Data Scientist, Technology and Engineering

Danone

<div>
 
 
 About Danone Group:
 
 
 
 
 
 
 
 Mission: &lsquo;Bringing Health through Food to as Many people as Possible&rsquo;
 
 
 
 Danone is a global leader in food and beverages, focusing on Essential Dairy and Plant-based products, Waters, and Specialized Nutrition. Our mission is to bring health through food to as many people as possible by creating nutritious products, promoting healthy eating habits, and operating sustainably.
 
 
 
 
 
 With nearly 90,000 employees and products available in over 120 markets, Danone generated &euro;27.6 billion in sales in 2023. Our Renew Danone strategy aims to foster long-term value through innovation and community support.
 
 
 
 
 
 Danone is committed to making a positive impact economically, socially, and environmentally. In 2020, we became the first listed company to adopt the &lsquo;Soci&eacute;t&eacute; &agrave; Mission&rsquo; status, reflecting our vision for a sustainable future.
 
 
 
 
 
 More information can be found at
 
 www.danone.com
 
 .
 
 
 
 
 
 
 About Danone India:
 
 
 
 Danone operates in India as Nutricia International Pvt. Ltd, focusing on nutrition with a range of products catering to infants, toddlers, pregnant mothers, as well as adults. The company features well-known brands such as Aptamil, Dexolac, and Protinex. Danone employs over 1,000 individuals across India and generates a turnover exceeding &euro;150 million. The company's head office is located in Mumbai, with a manufacturing facility situated in Lalru, Punjab.
 
 
 
 
 
 Danone India is a Great Place To Work&reg; certified organization, which reflects our commitment to creating a workplace where people are empowered to contribute meaningfully, grow professionally, and feel a true sense of belonging.
 
 
 
 
 
 More information can be found at
 
 https://www.danone.in/
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 Work on the project of transformation of Demand Planning at global level in the roadmap of the digitalization for the Supply Chain. Creating and developing the ML models for all Danone categories\
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Be part of the design and development of the ML core models and the analytics behind them
 </li>
 <li>
 Understand and capture cross country needs
 </li>
 <li>
 Be able to build the common approach of ML scalable models for the demand planning teams of different countries
 </li>
 <li>
 Support with all the analytics needs for the adoption of the ML models
 </li>
 <li>
 Build outstanding best in class ML models for Demand Planning that are able to cope with more complex and less steady environments
 </li>
 <li>
 Set up KPI's to track ML and Statistical models performance
 </li>
 <li>
 Select and understand the best approach of automatization for the overall Demand process driven by Statistical and Machine Learning capabilities
 </li>
 <li>
 Ensures collaboration of all teams in order to guarantee scalability of the models
 </li>
 <li>
 Keeps a close control of the ML developments to ensure cost compliance
 </li>
 <li>
 Responsible of the Continuous Improvement of the ML models and create the strategy of ML vs Statistical approach
 </li>
 <li>
 Responsible for the region's continuous improvement of ML and Statistical models in order to improve business performance
 </li>
 <li>
 Create standard ways of measure and manage strategies to find and fix root causes in forecast bias/accuracy
 </li>
 <li>
 Develop capabilities and skills on Machine Learning understanding across the regions
 </li>
 <li>
 Build, maintain, fine tune and audit Statistical &amp; ML models to guarantee adaptability to new business context providing service for all regions
 </li>
 <li>
 Assist regions in processes and tools to embrace Statistical and ML technology
 </li>
 <li>
 Shield key processes and know-how on Statistical and ML
 </li>
 <li>
 Ensures standardization between different countries
 </li>
 <li>
 Guarantee highest ML utilization
 </li>
 </ul>
 
 
 
 
 
 Job Specifications:
 
 
 <ul>
 <li>
 Education: Mathematics/Physics/Engineering with a master&rsquo;s in business/data analytics or proven track record on Data Science
 </li>
 <li>
 Proven track record of minimum 5 years as a data scientist
 </li>
 <li>
 Great analytical skills
 </li>
 <li>
 Coding capabilities in R and/or Phyton
 </li>
 <li>
 Relationship/ Network builder
 </li>
 <li>
 Change management
 </li>
 <li>
 Project management
 </li>
 <li>
 Experience with Continuous Improvement
 </li>
 </ul>
 
 
 
 
 
 Main Interfaces
 
 
 <ul>
 <li>
 Cross country demand planning teams
 </li>
 <li>
 IS/IT project managers and developers
 </li>
 <li>
 Supply chain cross functions
 </li>
 </ul>
 
 
</div>

Verisk

<div>
 
 Job Description
 
 
 
 Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on machine learning and high-resolution numerical weather models to simulate the full distribution of possible extreme weather events&mdash;cyclones, storm surge, convective storms, and flooding&mdash; consistent with a changing climate.
 
 
 We are seeking a statistician or atmospheric scientist to advance the development, support, and delivery of the hazard component of atmospheric peril models. Your work will inform risk and capital management decisions globally.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Improve the accuracy of representing atmospheric perils
 </li>
 <li>
 Contribute to model development, validation, and productization for global clients
 </li>
 <li>
 Support model development using observational and reanalysis products, GCMs, and high-resolution simulations
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Expertise in spatial statistics and extreme value analysis
 </li>
 <li>
 Strong understanding of atmospheric dynamics and extremes
 </li>
 <li>
 Experience with dynamic downscaling methods
 </li>
 <li>
 Proficiency in Python
 </li>
 <li>
 Clear written and verbal communication
 </li>
 <li>
 Practical, solution-focused mindset
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Ph.D. in statistics, atmospheric science, or a related field; or Master&rsquo;s with 3+ years of relevant experience
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
 
 
 At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
 
 
 For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work&reg; for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work&reg; Certification, we&rsquo;ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World&rsquo;s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
 
 
 We&rsquo;re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
 
 
 
 Verisk Businesses
 
 
 
 Underwriting Solutions &mdash; provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
 
 
 Claims Solutions &mdash; supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
 
 
 Property Estimating Solutions &mdash; offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
 
 
 Extreme Event Solutions &mdash; provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.
 
 
 Specialty Business Solutions &mdash; provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
 
 
 Marketing Solutions &mdash; delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement
 
 
 Life Insurance Solutions &ndash; offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
 
 
 Verisk Maplecroft &mdash; provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
 
 
 Verisk Analytics is an equal opportunity employer.
 
 
 All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk&rsquo;s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
 
 
 https://www.verisk.com/company/careers/
 
 
 Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
 
 
 Verisk Employee Privacy Notice
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