655 Xgboost Jobs - Page 16

Na Roche, você pode-se apresentar como você mesmo, abraçado pelas qualidades únicas que traz. Nossa cultura incentiva a expressão pessoal, o diálogo aberto e as conexões genuínas, onde você é valorizado e respeitado por quem você é, e permitindo que você prospere tanto pessoal como profissionalmente. É assim que pretendemos prevenir, deter e curar doenças e garantir que todos tenham acesso aos cuidados de saúde hoje e nas gerações futuras. Junte-se à Roche, onde cada voz é importante. A posição The Opportunity The Senior Software Engineer is a member of a talented team in Pune and will apply his/her expert knowledge of Python, Node.js (TypeScript) and AWS in the implementation of complex, enterprise-scale software systems. General responsibilities include requirement analysis, lower level design, implementation, unit testing for components or features and integration with external partner APIs. Works as an individual contributor or in a small team on specific product features with occasional guidance and in coordination with other team mates. Participate in peer code review sessions and enforce quality of deliverables. Job Facts Software Development: This is a hands-on software development position to write high-quality software that will perform at scale, be supportable, and be extensible. Process & Operations: Ensure the software deliverables follow existing process guidelines and conform to all existing quality parameters. Follow scaled agile framework guideline for incremental development. Mentorship: Mentor and guide junior team members in technical challenges and provide guidance on best practices and quality attributes. Technology stack: Primary backend stack is Python based but we constantly explore different technologies and toolsets that are fit-for-purpose. Here is a list of technologies we currently use: Python, Node.js and Java (Good to have) Protobuf, JSON, XML, YAML Git, TortoiseGit Data stream processing framework: Apache Flink, AWS Kinesis, AWS Firehorse. AWS services (must be aware about basics of RDS, MSK, EC2, Lambda, Elastic Cache, CloudFront, API Gateway, S3, RDS, NLB/ALB, Security Groups/NACLs/VPCs, Cloud Watch, SNS, SQS) Docker & Kubernetes (Good to have) Experience with Typescript and writing APIs in Node.js Your Main Responsibilities Will Include Design, develop, and implement robust and scalable web applications using Python and Node.js (TypeScript). Write clean, well designed, testable, efficient and maintainable code. Develop a new set of APIs and write unit test cases for the same. Write reusable code and libraries Collaborate with team members and stakeholder Review code written by fellow junior developers. Involve in agile ceremonies like stand-up, sprint planning, and demos with co-workers Who You Are BS/Btech/MS degree in Computer Science or directly related discipline 6-9 years of hands-on industry experience as a Python and Node.js (TypeScript) developer Experience on developing APIs with Python and Node.js (TypeScript) Experience with developing and implementing ML models using the TensorFlow framework. Experience with XGBoost is a plus Experience with event based architecture and in cloud development using AWS. Solid understanding of design patterns, object-oriented design and event based architecture Experience in healthcare is not required, but familiarity with healthcare data and workflows is a plus (e.g. HL7, IHE) Knowledge and experience with the Agile development process or SAFe is big plus. Great written and verbal communication in English Mindset You Will Be Expected To Demonstrate The We@RIS Dimensions And Help Evolve The Functions Culture Beliefs And Bring We@RIS To Life. The Dimensions Are We are passionate about our customers and patients We radically simplify We trust, collaborate & have fun We ALL lead We experiment & learn Are you ready to apply? We want someone who thinks beyond the job offered - someone who knows that this position can be a unique opportunity to shape the future of Diagnostics. Quem nós somos Um futuro mais saudável nos leva a inovar. Juntos, mais de 100 mil funcionários em todo o mundo se dedicam ao avanço da ciência, garantindo que todos tenham acesso à saúde hoje e nas próximas gerações. Nossos esforços resultam em mais de 26 milhões de pessoas tratadas com nossos medicamentos e mais de 30 bilhões de testes realizados usando nossos produtos de diagnóstico. Nós nos capacitamos para explorar novas possibilidades, promover a criatividade e manter as nossas ambições altas, para fornecer soluções de saúde que mudem a vida e causem um impacto global. Vamos construir juntos um futuro mais saudável. A Roche é um empregador que pratica políticas de igualdade de oportunidades.

Who are we? Securin is a leading product based company backed up by services in the cybersecurity domain, helping hundreds of customers world wide gain resilience against emerging threats. Our products are powered by accurate vulnerability intelligence, human expertise, and automation, enabling enterprises to make crucial security decisions to manage their expanding attack surfaces. Securin is built on the foundation of in-depth penetration testing and vulnerability research to help organizations continuously improve their security posture. Our team of intelligence experts is one of the best in the industry and our comprehensive portfolio of tech-enabled solutions include Attack Surface Management (ASM), Vulnerability Intelligence (VI), Penetration Testing, and Vulnerability Management. These solutions allow our customers to gain complete visibility of their attack surfaces, stay informed of the latest security threats. Also, trends, and proactively address risks. What do we promise? We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritised remediation for every one of our client businesses. What do we deliver? Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks. Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry. Job Location : IIT Madras Research Park, A block, Third floor, 32, Tharamani, Chennai, Tamil Nadu 600113 Work Mode: Hybrid, Work from office - Chennai, 2 days a week Compensation : Up to 30LPA Job Title: Senior Software Engineer (With Machine Learning Experience) Job Description: We are seeking a skilled and motivated Python Engineer with 5+ years of professional experience , including at least 2 years of hands-on experience in Machine Learning (ML) . The ideal candidate will possess strong Python development skills, a deep understanding of object-oriented programming (OOP), and practical experience with NoSQL databases, especially MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is also required. This role is perfect for a developer who is not only proficient in backend engineering but also enthusiastic about applying ML concepts in real-world applications. You’ll work closely with cross-functional teams to develop and optimize scalable, reliable, and maintainable Python-based solutions. Responsibilities : Design, develop, and maintain Python applications with a focus on performance and scalability. Design systems with non-linear time complexity and efficient space usage across compute and storage. Ensure stateless, idempotent request processing with no in-memory state. Model schemas for future evolution, supporting increasing data volume and structural changes. Build and operate cloud-based SaaS applications with a focus on production reliability. Design includes not only functional code but also integrated monitoring, alerting, and health checks to ensure observability and operational excellence in a multi-tenant environment. Apply object-oriented programming (OOP) principles to craft reusable, modular code. Develop, implement, and optimize machine learning models in production environments. Leverage NoSQL databases like MongoDB for efficient data storage and retrieval. Work with cloud platforms (AWS, GCP, Azure) for application deployment and data services. Write and maintain robust unit and integration tests using test-driven development (TDD) practices. Participate in the full software development lifecycle — from requirements gathering to deployment. Collaborate with cross-functional teams, participate in Agile ceremonies, and contribute to technical discussions. Engage in code reviews and mentor junior team members where appropriate. Stay updated with emerging trends in Python development, machine learning, and software engineering best practices. Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Python development. At least 2 years of hands-on experience with Machine Learning (model development, evaluation, and deployment). Strong understanding of OOP principles and real-world software design. Experience working with NoSQL databases, particularly MongoDB. Familiarity with TDD practices and writing unit tests. Practical experience with cloud platforms (AWS, GCP, or Azure). Proficiency with version control systems such as Git. Excellent problem-solving and debugging skills. Strong communication and teamwork abilities. A proactive, self-motivated attitude with a passion for continuous learning. Preferred Qualifications: Hands-on experience in AI concepts including LLMs, prompt engineering, or traditional AI. Strong grasp of supervised, unsupervised, and reinforcement learning with practical experience in key ML algorithms (e.g., regression, SVMs, neural networks, clustering). Proficient with ML frameworks like scikit-learn, TensorFlow, PyTorch, and XGBoost. Solid foundation in math (linear algebra, calculus, probability, statistics) and understanding of optimization and loss functions. Experience with model serving using Flask, FastAPI, or TensorFlow Serving. Experience with Python ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Knowledge of Agile/Scrum methodologies and collaborative development workflows. What We Offer: A collaborative and innovative team environment. Opportunities to work on AI/ML-powered products and projects. Ongoing learning and career development opportunities. A dynamic culture focused on growth, curiosity, and problem-solving. If you're a Python developer with a strong foundation and a growing passion for machine learning, we’d love to hear from you! Why should we connect? We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion. At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home. If you are passionate about cybersecurity just as we are, we would love to connect and share ideas.

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Technical Team Lead (Python and AI/ML) Experience Range : 5+ years What skills and experience are we looking for? Bachelor's/Master’s degree in Computer Science, Engineering, or related field. 5+ years of experience in software development with strong expertise in Python. 3+ years of experience in machine learning, deep learning, or AI-based applications. Proficient in AI/ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, OpenCV etc. Hands-on experience with data preprocessing, model training, validation, and deployment. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong understanding of REST APIs and backend development. Experience with cloud platforms like AWS, Azure, or GCP. Excellent problem-solving, communication, and leadership skills. Experience working in Agile/Scrum teams. Knowledge of data engineering tools (e.g., Spark, Kafka, Snowflake). Publications, open-source contributions, or Kaggle competition experience. Exposure to NLP, computer vision, or generative AI models is a plus. What is the work? Lead and mentor a team of Python and AI/ML engineers. Design, develop, and deploy scalable machine learning models and end-to-end solutions. Collaborate with product managers, data scientists, and other stakeholders to define project goals and technical specifications. Translate business requirements into technical specifications and implementation plans. Architect backend systems using Python frameworks (e.g., FastAPI, Django, Flask). Review code, ensure best practices, and perform unit and integration testing. Monitor and improve model performance, reliability, and scalability in production. Ensure adherence to project timelines and deliverables. Stay current with emerging technologies and integrate them into existing systems as appropriate. Foster a culture of innovation, collaboration, and continuous improvement.

SynapseIndia is one of the top I.T. outsourcing companies based out of Noida with clients across the globe. We are 23+ years old organization and with expertise of more than two decades, we have worked with both large brands as well as startups. Why work with us? We are Microsoft Gold partner, Google partner, Shopify partner company with certified professionals. SynapseIndia is an MNC having clients and employees all over the world. SynapseIndia has 500 IT professionals and has plan to hire more than 500 more developers in the next 5 months. We have structured environment with industry leading CMMI level-5 compliant processes. Several IT professionals joined as developers/programmers and now they are leading a team . Salaries are always paid on time , from the time company started till date, there has never been a delay. Developers get an exposure to interact with international clients (Majorly USA clients) at a very early stage in career. Despite market conditions, we have not laid off people. We never work on holidays . This way, you can maintain your personal as well as professional life balance. Office timings are from 9:30 AM to 6:30 PM. 2nd and last Saturday of every month is off for everyone. Annual salary review – based on company and individual performance. This is permanent work from office job opportunity. Who are we looking for? Designation - Sr. Python Developer (AI ML) Experience Range - 5+ years What skills and experience are we looking for? Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 5+ years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What is the work? Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure.

We are seeking a Data Scientist with strong expertise in classical machine learning and experience working with automotive datasets. The role focuses on building predictive models, marketing mix analysis, and end-to-end data pipeline development. Experience in marketing analytics is essential. Exposure to Generative AI is a plus, not a requirement. Experience : Min 3 years Industry : Automobile/Automotive(Mandatory) Job location : Mumbai (Andheri- Chakala) Notice period : Max 45 days Budget : upto 18 lacs depending on the current CTC of the candidate hike can be offered 20-25% Key Responsibilities: Develop and deploy ML models (classification, regression, forecasting) for business use cases in the automotive domain. Analyze customer and vehicle data to derive insights for campaigns, retention, and personalization. Implement NLP techniques and marketing mix models for campaign optimization. Build data pipelines to ensure clean and real-time data processing. Collaborate with cross-functional teams to translate insights into strategy. Qualifications: Bachelor’s/Master’s in Computer Science, Data Science, or related field. 3–5 years of experience in ML and marketing analytics. Strong in Python, R, SQL, Azure; experience with scikit-learn, XGBoost, TensorFlow, or PyTorch. Automotive domain experience is mandatory. Familiarity with GenAI tools (OpenAI, LangChain, etc.) is a bonus Interested candidates please share the cvs at astha@hr-central.org or share reference if any #datascientist

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Data Scientist II-3 Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Data Scientist II. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. Role Manipulates large data sets and applies various technical and statistical analytical techniques (e.g., OLS, multinomial logistic regression, LDA, clustering, segmentation) to draw insights from large datasets. Apply various Machine learning (i.e. SVM, Radom Forest, XGBoost, LightGBM, CATBoost etc), Deep learning techniques (i.e. LSTM, RNN, Transformer etc.) to solve analytical problem statement. Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data. Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models. Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science. Present technical problems and findings to business leaders internally and to clients succinctly and clearly. Leverage best practices in machine learning and data engineering to develop scalable solutions. Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team Be a strong, confident, and excellent writer and speaker, able to communicate your analysis, vision and roadmap effectively to a wide variety of stakeholders All About You: 3-5 years in data science/ machine learning model development and deployments Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus. A strong understanding of NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods. Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis. Solve problems that are new to the company, the financial industry and to data science SQL / Database experience is preferred Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms. Familiarity with relevant technologies (e.g. Tensorflow, Python, Sklearn, Pandas, etc.). Strong desire to collaborate and ability to come up with creative solutions. Additional Finance and FinTech experience preferred. Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics. Corporate Security Responsibility Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security. All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And Therefore, It Is Expected That The Successful Candidate For This Position Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. #AI Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. 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Required Skills & Experience: • 12+ years of experience in AI/ML, data engineering, and cloud architecture. • Minimum of 10 end-to-end AI/ML project implementations from use case discovery through to productionization. • Proven expertise in: (Any One) • AI/ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch • GenAI/LLM platforms: OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma) • Cloud platforms: AWS, Azure, GCP – including AI/ML & GenAI native services • MLOps/LLMOps tools: MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines • Strong experience with data security, governance, model risk management, and AI compliance frameworks • Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders

We are looking for a highly skilled and experienced AI/ML Developer with 45 years of hands-on experience to join our technology team. You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions. Develop And Implement AI/ML Models The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine Responsibilities : Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics. Model Optimization And Evaluation Continuously improve existing models for performance, accuracy, and scalability. Data Preprocessing And Feature Engineering Collect, clean, and preprocess structured and unstructured data from various sources. Engineer relevant features to improve model performance and interpretability. Collaboration And Communication Collaborate closely with data scientists, backend engineers, product managers, and stakeholders to align model development with business goals. Communicate technical insights clearly to both technical and non-technical stakeholders. Model Deployment And Monitoring Deploy models to production using MLOps practices and tools (e., MLflow, Docker, Kubernetes). Monitor live model performance, diagnose issues, and implement improvements as needed. Staying Current With AI/ML Advancements Stay informed of current research, tools, and trends in AI and machine learning. Evaluate and recommend emerging technologies to maintain innovation within the team. Code Reviews And Best Practices Participate in code reviews to ensure code quality, scalability, and adherence to best practices. Promote knowledge sharing and mentoring within the development Skills and Qualifications : Must have experience as a team lead. Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 45 years of experience in machine learning, artificial intelligence, or applied data science roles. Strong programming skills in Python (preferred) and/or R. Proficiency in ML libraries and frameworks, including : scikit-learn XGBoost, LightGBM TensorFlow or Keras PyTorch Skilled in data preprocessing and feature engineering, using : pandas, numpy, sklearn. preprocessing Practical experience in deploying ML models into production environments using REST APIs and containers. Familiarity with version control systems (e., Git) and containerization tools (e., Docker). Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure. Understanding of software development methodologies, especially Agile/Scrum. Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications (ref:hirist.tech)

Job Title: Data/ML Platform Engineer Location: Gurgaon, Pune, Bangalore, Chennai, Bhopal, Jaipur, Hyderabad (Work from office) Notice Period: ImmediateiSource Services is hiring for one of their client for the position of Data/ML Platform Engineer. As a Data Engineer you will be relied on to independently develop and deliver high-quality features for our new ML Platform, refactor and translate our data products and finish various tasks to a high standard. Youll be part of the Data Foundation Team, which focuses on creating and maintaining the Data Platform for Marktplaats. 5 years of hands-on experience in using Python, Spark,Sql. Experienced in AWS Cloud usage and management. Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow). Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch. Experience with orchestrators such as Airflow and Kubeflow. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Fundamental understanding of Parquet, Delta Lake and other data file formats. Proficiency on an IaC tool such as Terraform, CDK or CloudFormation. Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst Location - Gurgaon, Pune, Bangalore, Chennai, Bhopal, Jaipur, Hyderabad (Work from office)

Join our Team. About This Opportunity. Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.. What You Will Do. Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.. Utilize Python for data manipulation, analysis, and modeling tasks.. Proficient in SQL for querying and analyzing large datasets.. Experience with Docker and Kubernetes for containerization and orchestration of applications.. Basic knowledge of PySpark for distributed computing and data processing.. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.. Deploy machine learning models into production environments and ensure scalability and reliability.. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.. Experience in analysing complex problems and translate it into algorithms.. Backend development in Rest APIs using Flask, Fast API. Deployment experience with CI/CD pipelines. Working knowledge of handling data sets and data pre-processing through PySpark. Writing queries to target Casandra, PostgreSQL database.. Design Principles in application development.. The Skills You Bring. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.. Proven experience in model development, evaluation, and deployment.. Strong programming skills in Python and SQL.. Familiarity with Docker, Kubernetes, and PySpark.. Solid understanding of machine learning techniques and algorithms.. Experience working with cloud platforms, preferably GCP.. Excellent problem-solving skills and ability to work independently as well as part of a team.. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.. Why join Ericsson?. At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world’s toughest problems. Youll be challenged, but you won’t be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.. What happens once you apply?. Click Here to find all you need to know about what our typical hiring process looks like.. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.. Primary country and city: India (IN) || Bangalore. Req ID: 763993. Show more Show less

Join our Team. About This Opportunity. Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.. What You Will Do. Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.. Utilize Python for data manipulation, analysis, and modeling tasks.. Proficient in SQL for querying and analyzing large datasets.. Experience with Docker and Kubernetes for containerization and orchestration of applications.. Basic knowledge of PySpark for distributed computing and data processing.. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.. Deploy machine learning models into production environments and ensure scalability and reliability.. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.. Experience in analysing complex problems and translate it into algorithms.. Backend development in Rest APIs using Flask, Fast API. Deployment experience with CI/CD pipelines. Working knowledge of handling data sets and data pre-processing through PySpark. Writing queries to target Casandra, PostgreSQL database.. Design Principles in application development.. The Skills You Bring. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.. Proven experience in model development, evaluation, and deployment.. Strong programming skills in Python and SQL.. Familiarity with Docker, Kubernetes, and PySpark.. Solid understanding of machine learning techniques and algorithms.. Experience working with cloud platforms, preferably GCP.. Excellent problem-solving skills and ability to work independently as well as part of a team.. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.. Why join Ericsson?. At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world’s toughest problems. Youll be challenged, but you won’t be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.. What happens once you apply?. Click Here to find all you need to know about what our typical hiring process looks like.. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.. Primary country and city: India (IN) || Bangalore. Req ID: 763993. Show more Show less

Join our Team. About This Opportunity. Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.. What You Will Do. Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.. Utilize Python for data manipulation, analysis, and modeling tasks.. Proficient in SQL for querying and analyzing large datasets.. Experience with Docker and Kubernetes for containerization and orchestration of applications.. Basic knowledge of PySpark for distributed computing and data processing.. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.. Deploy machine learning models into production environments and ensure scalability and reliability.. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.. Experience in analysing complex problems and translate it into algorithms.. Backend development in Rest APIs using Flask, Fast API. Deployment experience with CI/CD pipelines. Working knowledge of handling data sets and data pre-processing through PySpark. Writing queries to target Casandra, PostgreSQL database.. Design Principles in application development.. The Skills You Bring. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.. Proven experience in model development, evaluation, and deployment.. Strong programming skills in Python and SQL.. Familiarity with Docker, Kubernetes, and PySpark.. Solid understanding of machine learning techniques and algorithms.. Experience working with cloud platforms, preferably GCP.. Excellent problem-solving skills and ability to work independently as well as part of a team.. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.. Why join Ericsson?. At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world’s toughest problems. Youll be challenged, but you won’t be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.. What happens once you apply?. Click Here to find all you need to know about what our typical hiring process looks like.. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.. Primary country and city: India (IN) || Bangalore. Req ID: 763993. Show more Show less

Gen AI - Artificial Intelligence Specialist Work Location: Hyderabad - Work from Office(Must) Willing to Join - ASAP Responsibilities - Drive customer conversations for Gen AI opportunities Understand customer specific requirements and create customer acceptable Gen AI solution architectures Create customer proposals and RFP responses Guide solution engineers in creating Gen AI POC and solutions for industry verticals Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency Staying abreast of the latest developments in technology and industry, best practices and finding where they can be incorporated Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, proving the potential of Generative AI applications Qualifications - Experience in software development: 8+ years Experience in Generative AI solution development: 3 years Bachelor’s degree or above in Computer Science, Software Engineering or similar disciplines Experience in two industry domains and ability to learn new domains quickly Adept at critical thinking and logical reasoning for problem-solving Be good at teamwork and delivering under pressure Generative AI oriented Experience with at least one cloud technology: Azure, AWS, GCP Good understanding of NVIDIA or other similar technologies Understanding of sound design principles and patterns Solid appreciation of AI/ML concepts Required Skills - Extremely dynamic and enthusiastic about technology Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js Be able to adapt quickly to new challenges and an evolving technology stack Excellent written and verbal communication skills. Fluent English is essential Strong analytical and critical thinking skills Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal) Initiative-taking, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly Firsthand of Python, ML Algorithms and Statistics Knowledge of source code maintenance and versioning tools Strong in Object Oriented Programming Concepts Good in debugging and analytical skills Preferred Skills - 5+ years of experience in ML development and MLOps Strong programming skills, with ability in languages like Python, with a good knowledge of ML, Data and API libraries Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.) Experience with ML models and their development Should know ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable Aí Understanding of some of the popular ML frameworks such as SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc. Experience working in a cloud environment (AWS, Azure, GCP) or a containerised environment (Mesos, Kubernetes) Interest in understanding functional and industry business challenges Desirable to know about IT Industry and potential GenAI use case in insurance processes Ideally, you’ll also have Expertise in Big Data, Data Modelling

At AryaXAI , we’re building the future of explainable, scalable, and aligned AI —designed specifically for high-stakes environments where trust, transparency, and performance are non-negotiable. From financial services to energy and other regulated industries, our platform powers intelligent decision-making through safe and robust AI systems. We’re looking for a Data Scientist with a deep understanding of both classical and deep learning techniques, experience building enterprise-scale ML pipelines, and the ambition to tackle real-world, high-impact problems. You will work at the intersection of modeling, infrastructure, and regulatory alignment—fine-tuning models that must be auditable, performant, and production-ready. Responsibilities: Modeling & AI Development Design, build, and fine-tune machine learning models (both classical and deep learning) for complex mission-critical use cases in domains like banking, finance, energy, etc. Work on supervised, unsupervised, and semi-supervised learning problems using structured, unstructured, and time-series data. Fine-tune foundation models for specialized use cases requiring high interpretability and performance. Platform Integration Develop and deploy models on AryaXAI’s platform to serve real-time or batch inference needs. Leverage explainability tools (e.g., DLBacktrace, SHAP, LIME, or AryaXAI’s native xai_evals stack) to ensure transparency and regulatory compliance. Design pipelines for data ingestion, transformation, model training, evaluation, and deployment using MLOps best practices. Enterprise AI Architecture Collaborate with product and engineering teams to implement scalable and compliant ML pipelines across cloud and hybrid environments. Contribute to designing secure, modular AI workflows that meet enterprise needs—latency, throughput, auditability, and policy constraints. Ensure models meet strict regulatory and ethical requirements (e.g., bias mitigation, traceability, explainability). Requirements : 3+ years of experience building ML systems in production, ideally in regulated or enterprise environments. Strong proficiency in Python , with experience in libraries like scikit-learn, XGBoost, PyTorch, TensorFlow , or similar. Experience with end-to-end model lifecycle : from data preprocessing and feature engineering to deployment and monitoring. Deep understanding of enterprise ML architecture —model versioning, reproducibility, CI/CD for ML, and governance. Experience working with regulatory, audit, or safety constraints in data science or ML systems. Familiarity with ML Ops tools (MLflow, SageMaker, Vertex AI, etc.) and cloud platforms (AWS, Azure, GCP). Strong communication skills and an ability to translate technical outcomes into business impact. Bonus Points For Prior experience in regulated industries : banking, insurance, energy, or critical infrastructure. Experience with time-series modeling , anomaly detection, underwriting, fraud detection or risk scoring systems. Knowledge of RAG architectures , generative AI , or foundation model fine-tuning . Exposure to privacy-preserving ML , model monitoring , and bias mitigation frameworks. What You’ll Get Competitive compensation with performance-based upside Comprehensive health coverage for you and your family Opportunity to work on mission-critical AI systems where your models drive real-world decisions Ownership of core components in a platform used by top-tier enterprises Career growth in a fast-paced, high-impact startup environment Remote-first, collaborative, and high-performance team culture If you’re excited to build data science solutions that truly matter , especially in the most demanding industries, we want to hear from you.

Responsibilities Build and fine-tune models for NLP, computer vision, predictions, and more. Engineer intelligent pipelines that are used in production. Collaborate across teams to bring AI solutions to life (not just in Jupyter Notebooks). Embrace MLOps with tools like MLflow, Docker, and Kubernetes. Stay on the AI cutting edge and share what you learnmentorship mindset is a big plus. Champion code quality and contribute to a future-focused dev culture. Requirements 3-4 years in hardcore AI/ML or applied data science. Pro-level Python skills (R is cool too, but Python is king here). Mastery over ML frameworks: scikit-learn, XGBoost, LightGBM, TensorFlow/Keras, PyTorch. Hands-on with real-world data wrangling, feature engineering, and model deployment. DevOps-savvy: Docker, REST APIs, Git, and maybe even some MLOps sparkle. Cloud comfort: AWS, GCP, or Azure - take your pick. Solid grasp of Agile, good debugging instincts, and a hunger for optimization. (ref:hirist.tech)

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. TempHtmlFile About KPMG In India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. >> Role & Responsibilities Perform model validation for various supervised and unsupervised AI/ML models pertaining to financial crime compliance. Assess model design, methodology, assumptions, limitations and performance matrix. Validate data quality, feature engineering and preprocessing steps. Conduct robustness, sensitivity and stability testing. Evaluate model explainability using tools such as SHAP, LIME. Review model documentation for completeness and regulatory compliance. Develop and test statistical and machine learning models for risk, fraud and business analytics. >> Key skills and tools: Programming: Python (must-have), R, SQL ML Libraries: scikit-learn, XGBoost, TensorFlow/PyTorch (basic), SHAP, LIME Validation Techniques: Cross-validation, back-testing, OOT testing, PSI/CSI Documentation & Reporting: Excellent communication, documentation, and stakeholder management skills. Tools: Jupyter, Git, MLFlow, Excel,Tableau/Power BI (for visualization) Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Qualifications TempHtmlFile Bachelor’s/master’s in computer science, Data Science, Statistics, Applied Math, or a related quantitative discipline. 3–4 years of experience in AI/ML model validation, development, or risk analytics.

PwC AC is hiring for Data scientist Apply and get a chance to work with one of the Big4 companies #PwC AC. Job Tit le : Data scientist Years of Experienc e: 4+ years Shift Timin gs: 2PM-11PM Qualificati on: Graduate and above(Full time) About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 4 to 9 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future.

Immediate DS Role Requirements – Key Skillset Must have supply chain experience with ML, especially inDemand Planning andRetail Merchandise Financial Planning Strong expertise inTime Series Forecasting using: Statistical models:ARIMA,Exponential Smoothing,Prophet ML models:XGBoost,LightGBM, etc. Minimum1 year of hands-on o9 platform experience Proficient inPython/R and relevant data science libraries Experience in buildingend-to-end ML pipelines for forecasting Strong understanding ofdemand drivers and retail planning cycles Excellent communication and cross-functional collaboration skills Experience required: 6+ years for Architects

In the IBM Chief Information Office,you wi be part of a dynamic team driving the future of AI and data science in arge-scae enterprise transformations. We offer a coaborative environment where your technica expertise wi be vaued, and your professiona deveopment wi be supported. Join us to work on chaenging projects, everage the atest technoogies, and make a tangibe impact on eading organisations. As a Data Scientist within IBM's Chief Information Office, you wi support AI-driven projects across the enterprise. You wi appy your technica skis in AI, machine earning, and data anaytics to assist in impementing data-driven soutions that aign with business goas. This roe invoves working with team members to transate data insights into actionabe recommendations. Key Responsibiities: Technica Execution and Leadership: Deveop and depoy AI modes and data anaytics soutions. Support the impementation and optimisation of AI-driven strategies per business stakehoder requirements. Hep refine data-driven methodoogies for transformation projects. Data Science and AI: Design and impement machine earning soutions and statistica modes, from probem formuation through depoyment, to anayse compex datasets and generate actionabe insights. Learn and utiise coud patforms to ensure the scaabiity of AI soutions. Leverage reusabe assets and appy IBM standards for data science and deveopment. Project Support: Lead and contribute to various stages of AI and data science projects, from data exporation to mode deveopment. Monitor project timeines and hep resove technica chaenges. Design and impement measurement frameworks to benchmark AI soutions, quantifying business impact through KPIs. Coaboration: Ensure aignment to stakehoders strategic direction and tactica needs. Work with data engineers, software deveopers, and other team members to integrate AI soutions into existing systems. Contribute technica expertise to cross-functiona teams. Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Bacheors or Masters in Computer Science, Data Science, Statistics, or a reated fied is required; an advanced degree is strongy preferred Experience: 5+ yearsof experience in data science, AI, or anaytics with a focus on impementing data-driven soutions Experience with data ceaning, data anaysis, A/B testing, and data visuaization Experience with AI technoogies through coursework or projects Technica Skis: Proficiency in SQL and Python for performing data anaysis and deveoping machine earning modes Knowedge of common machine earning agorithms and frameworksinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neura networks, and deep earning frameworks such as TensorFow and PyTorch Experience with coud-based patforms and data processing frameworks Understanding of arge anguage modes (LLMs) Famiiarity with IBMs watsonx product suite Famiiarity with object-oriented programming Anaytica Skis: Strong probem-soving abiities and eagerness to earn

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief introduction - Role Summary/Purpose: The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities: Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications: Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications: Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As an engineer you will be responsible for: • Ownership of product/feature end-to-end for all phases from the development to the production. • Ensuring the developed features are scalable and highly available with no quality concerns. • Work closely with senior engineers for refining the design and implementation. • Management and execution against project plans and delivery commitments. • Assist directly and indirectly in the continual hiring and development of technical talent. • Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. • Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About the team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions.​ Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Reference # 318227BR Job Type Full Time Your role Are you interested in pursuing a career in Data Science and AI with STAAT team in Global wealth management Americas? Building deployable machine learning models and embedding it in business workflow Defining AI research problems and criteria for evaluating success Contributing to product design, developing features to enhance the product based on Natural Language techniques Processing massive amounts of structured and unstructured data Researching new machine learning solutions for complex business problems and embedding the models within the business workflow Communicating findings Your team You’ll be working STAAT Data Science team in Mumbai Your expertise degree in Computer Science or related field strong understanding of probability, statistics, linear algebra and calculus 4+ years’ experience in developing and NLP Models Expert level proficiency in python 2+ years’ experience in building NLP models for Sentiment scoring, summarization, abstractions using deep learning, transfer learning techniques Experience in dealing with large-scale unstructured text data Experience in machine learning packages ML experience with different supervised and unsupervised learning algorithms knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc good understanding of mathematical underpinning and their realworld advantages/drawbacks hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc hands-on experience deploying analytical models to solve business problems ability to develop experimental and analytical plans for data modeling processes and A/B testing About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Show more Show less

We are looking for a visionary and technically skilled Lead AI Engineer – Machine Learning to spearhead the design, development, and deployment of advanced machine learning solutions. In this leadership role, you will guide a team of AI/ML engineers, contribute hands-on to critical technical challenges, and collaborate with cross-functional teams to deliver impactful AI products. This role is ideal for someone who thrives at the intersection of innovation, engineering rigor, and business value. Key Responsibilities Technical Leadership : Lead the architecture, development, and deployment of machine learning models and AI systems across a range of use cases. Model Development : Design, train, and optimize supervised, unsupervised, and deep learning models using frameworks like PyTorch, TensorFlow, and XGBoost. Mentorship : Coach and mentor a team of ML engineers and data scientists; foster a culture of innovation, ownership, and continuous learning. Project Management : Drive planning, execution, and delivery of AI/ML projects, ensuring alignment with business objectives and technical feasibility. System Design : Architect scalable, secure, and high-performance ML pipelines and services using cloud-native tools and MLOps best practices. Collaboration : Work closely with product managers, data engineers, and DevOps teams to translate business problems into AI-driven solutions. Code Quality & Governance : Establish standards for model quality, reproducibility, documentation, versioning, and monitoring. Innovation : Stay current with research and industry trends in ML/AI, evaluate new tools, and introduce state-of-the-art solutions where applicable. Required Skills and Experience Education : Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related technical field Experience : 6–10+ years of experience in software engineering or AI/ML, with at least 2+ years in a technical leadership role Technical Expertise : o Strong programming skills in Python and experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face o Deep understanding of ML fundamentals: feature engineering, model evaluation, optimization, and deployment o Proficiency in designing and building data pipelines, real-time processing, and model inference systems o Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines o Familiarity with MLOps tools (e.g., MLflow, DVC, Airflow, SageMaker) and vector databases (e.g., FAISS, Pinecone) Preferred Qualifications Hands-on experience with LLMs, RAG pipelines, or generative AI applications Familiarity with agentic AI frameworks (LangChain, CrewAI, AutoGPT) Domain expertise in fintech, healthtech, HR tech, or industrial automation Contributions to open-source AI/ML projects or published research Knowledge of responsible AI practices, explainability (XAI), and model governance Soft Skills Strong leadership and team-building skills Clear and persuasive communication with both technical and non-technical stakeholders Strategic thinker with attention to detail and a bias for action Show more Show less

Summary Position Summary DT-US Product Engineering - Data Scientist Manager We are seeking an exceptional Data Scientist who combines deep expertise in AI/ML with a strong focus on data quality and advanced analytics. This role requires a proven track record in developing production-grade machine learning solutions, implementing robust data quality frameworks, and leveraging cutting-edge analytical tools to drive business transformation through data-driven insights . Work you will do The Data Scientist will be responsible for developing and implementing end-to-end AI/ML solutions while ensuring data quality excellence across all stages of the data lifecycle. This role requires extensive experience in modern data science platforms, AI frameworks, and analytical tools, with a focus on scalable and production-ready implementations. Project Leadership and Management: Lead complex data science initiatives utilizing Databricks, Dataiku, and modern AI/ML frameworks for end-to-end solution development Establish and maintain data quality frameworks and metrics across all stages of model development Design and implement data validation pipelines and quality control mechanisms for both structured and unstructured data Strategic Development: Develop and deploy advanced machine learning models, including deep learning and generative AI solutions Design and implement automated data quality monitoring systems and anomaly detection frameworks Create and maintain MLOps pipelines for model deployment, monitoring, and maintenance Team Mentoring and Development: Lead and mentor a team of data scientists and analysts, fostering a culture of technical excellence and continuous learning Develop and implement training programs to enhance team capabilities in emerging technologies and methodologies Establish performance metrics and career development pathways for team members Drive knowledge sharing initiatives and best practices across the organization Provide technical guidance and code reviews to ensure high-quality deliverables Data Quality and Governance: Establish data quality standards and best practices for data collection, preprocessing, and feature engineering Implement data validation frameworks and quality checks throughout the ML pipeline Design and maintain data documentation systems and metadata management processes Lead initiatives for data quality improvement and standardization across projects Technical Implementation: Design, develop and deploy end-to-end AI/ML solutions using modern frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost for machine learning, BERT and GPT for NLP, and OpenCV for computer vision applications Architect and implement robust data processing pipelines leveraging enterprise platforms like Databricks, Apache Spark, Pandas for data transformation, Dataiku and Apache Airflow for ETL/ELT processes, and DVC for data version control Establish and maintain production-grade MLOps practices including model deployment, monitoring, A/B testing, and continuous integration/deployment pipelines Technical Expertise Requirements: Must Have: Enterprise AI/ML Platforms: Demonstrate mastery of Databricks for large-scale processing, with proven ability to architect solutions at scale Programming & Analysis: Advanced Python (NumPy, Pandas, scikit-learn), SQL, PySpark with production-level expertise Machine Learning: Deep expertise in TensorFlow or PyTorch, and scikit-learn with proven implementation experience Big Data Technologies: Advanced knowledge of Apache Spark, Databricks, and distributed computing architectures Cloud Platforms: Strong experience with at least one major cloud platform (AWS/Azure/GCP) and their ML services (SageMaker/Azure ML/Vertex AI) Data Processing & Analytics: Extensive experience with enterprise-grade data processing tools and ETL pipelines MLOps & Infrastructure: Proven experience in model deployment, monitoring, and maintaining production ML systems Data Quality: Experience implementing comprehensive data quality frameworks and validation systems Version Control & Collaboration: Strong proficiency with Git, JIRA, and collaborative development practices Database Systems: Expert-level knowledge of both SQL and NoSQL databases for large-scale data management Visualization Tools: Tableau, Power BI, Plotly, Seaborn Large Language Models: Experience with GPT, BERT, LLaMA, and fine-tuning methodologies Good to Have: Additional Programming: R, Julia Additional Big Data: Hadoop, Hive, Apache Kafka Multi-Cloud: Experience across AWS, Azure, and GCP platforms Advanced Analytics: Dataiku, H2O.ai Additional MLOps: MLflow, Kubeflow, DVC (Data Version Control) Data Quality & Validation: Great Expectations, Deequ, Apache Griffin Business Intelligence: SAP HANA, SAP Business Objects, SAP BW Specialized Databases: Cassandra, MongoDB, Neo4j Container Orchestration: Kubernetes, Docker Additional Collaboration Tools: Confluence, BitBucket Education: Advanced degree in quantitative discipline (Statistics, Math, Computer Science, Engineering) or relevant experience. Qualifications: 10-13 years of experience with data mining, statistical modeling tools and underlying algorithms. 5+ years of experience with data analysis software for large scale analysis of structured and unstructured data. Proven track record of leading and delivering large-scale machine learning projects, including production model deployment, data quality framework implementation and experience with very large datasets to create data-driven insights thru predictive and prescriptive analytic models. E xtensive knowledge of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models. Extensive experience with deep learning frameworks, automated ML platforms, data processing tools (Databricks Delta Lake, Apache Spark), analytics platforms (Tableau, Power BI), and major cloud providers (AWS, Azure, GCP) Experience architecting and implementing enterprise-grade solutions using cloud-native ML services while ensuring cost optimization and performance efficiency Strong track record of team leadership, stakeholder management, and driving technical excellence across multiple concurrent projects Expert-level proficiency in Python, R, and SQL, with deep understanding of statistical analysis, hypothesis testing, feature engineering, model evaluation, and validation techniques in production environments Demonstrated leadership experience in implementing MLOps practices, including model monitoring, A/B testing frameworks, and maintaining production ML systems at scale. Working knowledge of supervised and unsupervised learning techniques, such as Regression/Generalized Linear Models, decision tree analysis, boosting and bagging, Principal Components Analysis, and clustering methods. Strong oral and written communication skills, including presentation skills The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) team is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. Work Location: Hyderabad Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303069 Show more Show less

Job Description: We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities: Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Skills & Qualifications: Experience: B.Tech with 3-6 years of relevant experience in Machine Learning, AI, or Data Science roles. OR M.Tech, M. Statistics with 2-4 years of relevant experience in Machine Learning, AI, or Data Science roles. Education: Bachelor's/master's degree in computer science or Statistics or any other relevant engineering / AI course from a Tier 2 college or similar colleges/universities. Technical Skills: Proficiency in programming languages such as Python & R Strong knowledge of classical machine learning algorithms with hands on experience in the following: Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments -> changed the wording, added points. Nice to Have: Object Oriented Programming. Familiarity with NLP, or time series analysis. -> Moving this into Nice to have, not bare min Exposure to deep learning models (RNN, LSTM) and working with GPUs. Show more Show less