At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Key Responsibilities : - Conduct feature engineering, data analysis, and data exploration to extract valuable insights. - Develop and optimize Machine Learning models to achieve high accuracy and performance. - Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Reinforcement Learning techniques. - Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness. - Deploy models in production environments and ensure continuous monitoring, improvement, and updates based on feedback. - Collaborate with cross-functional teams to align ML solutions with business goals. - Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models. - Bring in the latest advancements in ML and AI to drive innovation. Requirements : - 4-5 years of hands-on experience in Machine Learning and Deep Learning. - Strong expertise in feature engineering, data exploration, and data preprocessing. - Experience with imbalanced datasets and techniques to improve model generalization. - Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks. - Strong mathematical and statistical knowledge with problem-solving skills. - Ability to optimize models for high accuracy and performance in real-world scenarios. Preferred Qualifications : - Experience with Big Data technologies (Hadoop, Spark, etc.) - Familiarity with containerization and orchestration tools (Docker, Kubernetes). - Experience in automating ML pipelines with MLOps practices. - Experience in model deployment using cloud platforms (AWS, GCP, Azure) or MLOps tools.

Hyderabad, Telangana | Full Time Apply Now Neudesic is currently seeking Senior Data Scientists. This role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Experience: 6+yrs Primary Skills: Python. SQL,ML,NLP,Data models,Data Insights Strong mathematical skills to help collect, measure, organize and analyze data. Knowledge of programming languages like SQL and Python Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation. Proficiency in statistics and statistical packages like Excel to be used for data set analyzing. Knowledge of data visualization software like PowerBI is desirable. Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions. Problem-solving skills Adept at queries, writing reports, and making presentations. Team-working skills Verbal and Written communication skills Proven working experience in data analysis. Job Description 2 Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametric methods, model preparation and selection (feature engineering, PCA, model assessment), and modeling techniques (optimization, simulation) Proficiency in data analysis, modeling, and web services in Python. GPU programming experience. Natural Language Processing experience – Ontology detection/Named Entity recognition and disambiguation and Predictive Analytics experience a plus. Familiarity with existing ML stack (Azure Machine Learning, scikit-learn, Tensorflow, Keras and others) SQL/NoSQL experience Experience with Apache spark with Databricks or similar platform for crunching massive amount of data Experience in leveraging AI in the CX (Customer Experience) domain a plus: Service (Topic Analysis, Aspect based sentiment analysis, NLP in Service context), Pre-Sales (Segmentation and Propensity Models) as well as Customer Success (Sentiment analysis, Best-Agent to Route, Churn Prediction, Customer Health Score, Recommender Systems for Next Best Action) using Machine Learning and Data Science for Recurring Revenue based business models Software Development Skills Experience in SQL and development experience in at least one scripting language (Python, Perl, etc.), and one high level programming language (Java) Experience in containerized applications on cloud (Azure Kubernetes Service), cloud databases (Azure SQL), and data storage (Azure Data Lake Storage, File storage) More About Our Predictive Enterprise Service Line The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what’s happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Neudesic is an Equal Opportunity Employer Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen Submit Your Application You have successfully applied You have errors in applying Apply With Resume * First Name* Middle Name Last Name* Email* Mobile Phone Candidate Location--Choose-- Bengaluru Hyderabad Kochi Other Social Network and Web Links Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium) Cover Letter Attach a file < 2 MB Show more Show less

We're seeking an experienced AI/ML Engineer who thrives on curiosity and innovation to join our dynamic engineering team. This role offers an exciting chance to tackle impactful real-world machine learning challenges and play a key part in developing advanced, state-of-the-art AI solutions. Role & responsibilities Architect, train, fine-tune, and distill LLMs and deep-learning models for NLP, generative AI, and agentic AI applications. Assist in designing, developing, and training machine learning models using structured and unstructured data Conduct thorough testing, evaluation, benchmarking, and validation to ensure performance and robustness Deploy models into production using MLOps pipelines (CI/CD, versioning, monitoring) Optimize models and inference pipelines for latency, throughput, and compute efficiency Mentor junior engineers and collaborate cross-functionally with data engineers, DevOps, product managers Curate, cleanse, and transform extensive datasets to prepare them for robust model development. Conduct insightful exploratory data analysis and apply advanced statistical modeling techniques. Execute systematic experiments, optimize hyperparameters, and rigorously assess models using established performance metrics. Maintain comprehensive documentation detailing model architectures, data pipelines, and experimental outcomes. Develop and integrate AI-enhanced tools including web-search functionalities, intelligent image editing, and related applications. Support in integrating AI/ML models into production environments Skill Sets We Require- Frameworks: PyTorch (latest, including TorchDynamo), TensorFlow 2.x Finetuning & Distillation: Implement teacherstudent training, supervised finetuning, responsebased distillation and Transorfermers. Model Lifecycle Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy. Understanding of probability, statistics, and linear algebra APIs & Storage: RESTful APIs, ONNX, SQL/NoSQL databases, S3 Buckets. CI/CD: Git, GitHub Actions, Docker Registry, automated testing & deployment (Good to have) Required Qualifications- Btech/BE in Computer Science or Equivalent Field 4+ years of hands-on experience in training, tuning, and deploying LLMs and deep-learning models. Proficient with PyTorch, Transformer frameworks

Skills : Applied Research , Architect and Innovation Experience : 5 - 12 yrs Location : Bangalore and Hyderabad Job Description: Key Responsibilities: Research & Innovation: Conduct applied research in generative AI, foundation models, NLP, computer vision, and multimodal AI. Stay abreast of the latest publications and open-source advancements. Model Development: Fine-tune, evaluate, and optimize large language models (LLMs), transformers, and other generative models for specific business and product use cases. Prototyping & Experimentation: Build proof-of-concepts and experimental systems that demonstrate the potential of GenAI across domains such as content generation, summarization, synthetic data, agent systems, etc. Data & Evaluation Pipelines: Design robust data pipelines, evaluation metrics, and benchmarking systems to validate model performance, safety, and bias. Collaboration: Work with cross-functional teams including product managers, ML engineers, and data scientists to translate research into production-grade systems. Open Source & IP Contribution: Publish findings in peer-reviewed venues, contribute to open-source projects, or generate intellectual property relevant to the business. Required Qualifications: 5–7 years of experience in machine learning or applied AI roles, with at least 2–3 years working on generative models or related research. Strong foundation in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience with LLMs (e.g., GPT, LLaMA, Claude), diffusion models, or vision-language models. Proficient in Python and ML tools/libraries such as Hugging Face Transformers, LangChain, or similar. Understanding of responsible AI practices, bias mitigation, and model explainability. Master’s or PhD in Computer Science, Machine Learning, Mathematics, or related fields. Preferred Qualifications: Experience with open-source LLMs or fine-tuning techniques like LoRA, PEFT, RLHF, etc. Knowledge of MLOps practices and deployment of models in production (e.g., via Kubernetes, Ray, Triton). Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Mumbai, Maharashtra, India; Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India . Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience in GCP. Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc. Experience architecting, developing software, or Big Data solutions in virtualized environments. Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop. Ability to implement secure key storage using Key Management System. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP. Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Show more Show less

Requisition Number: 100603 AI/ML Technical Lead Location- Delhi NCR, Bangalore, Pune, Hyderabad Shifts- 2:00 PM IST – 11:00 PM IST Insight at a Glance 14,000+ engaged teammates globally with operations in 25 countries across the globe. Received 35+ industry and partner awards in the past year $9.2 billion in revenue #20 on Fortune’s World's Best Workplaces™ list #14 on Forbes World's Best Employers in IT – 2023 #23 on Forbes Best Employers for Women in IT- 2023 $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organizations through complex digital decisions About The Role As a AI ML Technical Lead with Insight , we are seeking a highly skilled AI/ML led engineer to join our team and contribute to lead, design, development, and deployment of artificial intelligence solutions. As a Team Lead, you will be responsible for overseeing the end-to-end lifecycle of AI/ML projects, mentoring engineers, and collaborating with cross-functional teams to drive innovation and business impact. The ideal candidate will have a strong background in machine learning, deep learning, NLP and computer vision and data science, with the ability to build and integrate AI models that solve complex business problems. About The Team Join us at the Data & AI Division, where we're not just another tech Division—we're the driving force behind empowering businesses to unlock the full potential of their data. Our mission is crystal clear: to harness the power of data through scalable solutions and repeatable processes, revolutionizing decision-making and problem-solving across industries. What We Do Dynamic Data Insights: Delve into the realm of data analytics and gain invaluable insights that fuel informed decision-making, empowering businesses to tackle challenges faster and more effectively. Cutting-Edge Platforms: Step into the forefront of innovation with our modern data platforms, cloud solutions, and infrastructure, laying the groundwork for unleashing untapped business potential and maximizing ROI. AI-Powered Advancements: Embrace the future with predictive analytics and AI-driven trend forecasting, equipping organizations to seize new opportunities and gain a competitive edge in today's fast-paced markets. Automation Revolution: Lead the charge in automation solutions, revolutionizing workflows and boosting productivity, enabling teams to concentrate on high-value tasks and propel business growth. Optimization Expertise: Harness our advanced analytics capabilities to optimize processes and elevate performance, ensuring steadfast operations and continual improvement. Comprehensive Business Intelligence: Provide comprehensive views of data through our business intelligence solutions, empowering organizations to address critical questions and navigate a path toward future success. Join our team and be part of a transformative journey where your contributions will shape the future of AI integration, driving real-world impact and propelling businesses toward success. Key Responsibilities Lead and mentor a team of AI/ML engineers, ensuring best practices in model development and deployment. Design, develop, and implement scalable machine learning models and AI-driven solutions. Collaborate with data scientists, software engineers, and product managers to integrate AI models into applications. Optimize and fine-tune machine learning models for performance, accuracy, and efficiency. Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into the team’s workflow. Conduct code reviews, provide technical guidance, and improve development processes. Manage project timelines, deliverables, and ensure alignment with business objectives. Work with cloud-based and on-premises AI/ML platforms to deploy and monitor models in production. Ensure compliance with ethical AI principles, data privacy regulations, and best security practices. Collaborate with DevOps teams to ensure seamless integration of AI models into existing systems and workflows. Document AI processes, model architectures, and development practices to ensure knowledge sharing and scalability. Provide technical leadership and mentorship to junior AI engineers and data scientists. Be Ambitious : This opportunity is not just about what you do today but also about where you can go tomorrow. As a AI ML Lead, you are positioned for swift advancement within our organization through a structured career path. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. Required Skills And Qualifications Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related field. 8 to 12 years of experience in AI, machine learning, or data science roles, with a strong portfolio of successfully deployed AI solutions along with at least 2 years in leading the AI/ML team. Strong proficiency in Python, TensorFlow, Py-Torch, Py-Spark and other ML frameworks. Strong understanding of machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, GANs), NLP, Computer Vision, Generative AI and AI model development. Knowledge on MLOps practices and tools for model deployment, monitoring, and scaling. Experience with data preprocessing, feature engineering, and working with large datasets in cloud environments (e.g., AWS, Google Cloud, Azure). Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI or Tableau) and experience in interpreting and communicating model results. Strong problem-solving skills, with the ability to translate business requirements into AI solutions. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with version control systems (e.g., Git) and Agile development practices. Other Skills Experience with reinforcement learning, and Agentic AI will add advantage. Knowledge of ethical AI practices and considerations in AI model development. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for AI model deployment. What You Can Expect We’re legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include: Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. Medical Insurance Health Benefits Professional Development: Learning Platform and Certificate Reimbursement Shift Allowance But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today, your ambitious journey starts here. Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Today's talent leads to tomorrow's success. Learn more about Insight: https://www.linkedin.com/company/insight/ Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India Show more Show less

About The Role We are seeking a highly experienced Principal Presales Architect with deep expertise in AWS cloud services to lead strategic engagements with enterprise customers. This role is at the intersection of technology leadership and customer engagement, requiring a deep understanding of IaaS, PaaS, SaaS , and data platform services , with a focus on delivering business value through cloud adoption and digital transformation. You will be a key contributor to the sales and solutioning lifecycle, working alongside business development, account executives, product, and engineering teams. This role also involves driving cloud-native architectures , conducting deep technical workshops, and influencing executive stakeholders. Key Responsibilities Presales & Customer Engagement Act as the technical lead in strategic sales opportunities, supporting cloud transformation deals across verticals. Design and present end-to-end cloud solutions tailored to client needs, with a focus on AWS architectures (compute, networking, storage, databases, analytics, security, and DevOps). Deliver technical presentations, POCs, and solution workshops to executive and technical stakeholders. Collaborate with sales teams to develop proposals, RFP responses, solution roadmaps , and TCO/ROI analysis . Drive early-stage discovery sessions to identify business objectives, technical requirements, and success metrics. Own the solution blueprint and ensure alignment across technical, business, and operational teams. Architecture & Technology Leadership Architect scalable, secure, and cost-effective solutions using AWS services including EC2, Lambda, S3, RDS, Redshift, EKS, and others. Lead design of data platforms and AI/ML pipelines , leveraging AWS services like Redshift, SageMaker, Glue, Athena, EMR , and integrating with 3rd party tools when needed. Evaluate and recommend multi-cloud integration strategies (Azure/GCP experience is a strong plus). Guide customers on cloud migration, modernization, DevOps, and CI/CD pipelines . Collaborate with product and delivery teams to align proposed solutions with delivery capabilities and innovations. Stay current with industry trends, emerging technologies , and AWS service releases , integrating new capabilities into customer solutions. Required Skills & Qualifications Technical Expertise 15+ years in enterprise IT or architecture roles, with 10+ years in cloud solutioning/presales , primarily focused on AWS. In-depth knowledge of AWS IaaS/PaaS/SaaS , including services across compute, storage, networking, databases, security, AI/ML, and observability. Hands-on experience in architecting and deploying data lake/data warehouse solutions using Redshift , Glue, Lake Formation, and other data ecosystem components. Proficiency in designing AI/ML solutions using SageMaker , Bedrock, TensorFlow, PyTorch, or equivalent frameworks. Understanding of multi-cloud architectures and hybrid cloud solutions; hands-on experience with Azure or GCP is an advantage. Strong command of solution architecture best practices , cost optimization , cloud security , and compliance frameworks. Presales & Consulting Skills Proven success in technical sales roles involving complex cloud solutions and data platforms . Strong ability to influence C-level executives and technical stakeholders . Excellent communication, presentation, and storytelling skills to articulate complex technical solutions in business terms. Experience with proposal development, RFx responses, and pricing strategy . Strong analytical and problem-solving capabilities with a customer-first mindset. Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In Your Role, You May Be Responsible For Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Preferred Education Master's Degree Required Technical And Professional Expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred Technical And Professional Experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Manager AI Engineer / Data Scientist Role Overview: We are seeking an accomplished and visionary Manager Data Scientist with minimum 8 Years of experience in Data Science and Machine learning, preferable experience around NLP, Generative AI, LLMs, MLOps, Optimization techniques and AI solution Architecture to lead our AI team and drive the strategic direction of AI initiatives. In this role you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise and leadership skills. The ideal candidate should have a proven track record in AI leadership, a deep understanding of AI technologies, and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Minimum 8 Years of experience in Data Science and Machine learning. Excellent leadership skills with at least 2-3 years of people management OR technical architecture experience. Responsibilities: Your technical responsibilities: Provide strategic direction and technical leadership for AI initiatives, guiding the team in designing and implementing state-of-the-art AI solutions. Lead the design and architecture of complex AI systems, ensuring scalability, reliability, and performance. Drive the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities, define AI project goals, and prioritize initiatives based on strategic objectives. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Good to Have Skills : Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Experience on Optimization tools and techniques (MIP etc). Drive DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines and automate model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git for building and managing AI pipelines. Apply infrastructure as code (IaC) principles using tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure the performance and reliability of deployed AI models. Collaborate with software engineering and operations teams to ensure seamless integration and deployment of AI models. Your client responsibilities: Work for managing the successful design, execution, and measurement of data initiatives across customer-facing engagements Communicate with internal stakeholders to make recommendations based on data Sort out business problems to translate into analytical questions to simplify and accelerate the solution development. Balancing excellent business communication skills with a deep analytical understanding is needed Run Scrum calls for team. Manage client delivery. Applying data Science, ML algorithms, using standard statistical tools and techniques for solving client business problems. Communicate and manage relationships with the onsite Program Manager. Regular status reporting to Management and onsite coordinators. Advocate for GDS work, work on innovative work/PoC’s and showcase to Onsite stakeholders to convince them to get more business. Interface with the customer representatives as and when needed Willing to travel to the customer’s locations on need basis within India and outside India. Willing to be flexible to work on various tools and technologies based on demand Your people responsibilities: Building a quality culture Lead by example Participating in the organization-wide people initiatives Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Proven experience in leading and managing AI projects and teams, with a focus on generative AI and LLMs. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Experience in DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Familiarity with tools such as Docker, Kubernetes, and Git for building and managing AI pipelines. Proficiency in implementing CI/CD pipelines and automating model deployment and scaling processes. Understanding of infrastructure as code (IaC) principles and experience with tools like Terraform or CloudFormation. Knowledge of monitoring and logging tools to ensure the performance and reliability of deployed AI models. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Ability to think strategically, identify business opportunities, and align AI initiatives with organizational objectives. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Description We’re seeking a hands-on AI/ML Engineer with deep expertise in large language models, retrieval-augmented generation (RAG), and cloud-native ML development on AWS. You'll be a key driver in building scalable, intelligent learning systems powered by cutting-edge AI and robust AWS infrastructure. If you’re passionate about combining NLP, deep learning, and real-world application at scale—this is the role for you. 4+ years of specialized experience in AI/ML is required. Core Skills & Technologies LLM Ecosystem & APIs • OpenAI, Anthropic, Cohere • Hugging Face Transformers • LangChain, LlamaIndex (RAG orchestration) Vector Databases & Indexing • FAISS, Pinecone, Weaviate AWS-Native & ML Tooling • Amazon SageMaker (training, deployment, pipelines) • AWS Lambda (event-driven workflows) • Amazon Bedrock (foundation model access) • Amazon S3 (data lakes, model storage) • AWS Step Functions (workflow orchestration) • AWS API Gateway & IAM (secure ML endpoints) • CloudWatch, Athena, DynamoDB (monitoring, analytics, structured storage) Languages & ML Frameworks • Python (primary), PyTorch, TensorFlow • NLP, RAG systems, embeddings, prompt engineering What You’ll Do • Model Development & Tuning o Designs architecture for complex AI systems and makes strategic technical decisions o Evaluates and selects appropriate frameworks, techniques, and approaches o Fine-tune and deploy LLMs and custom models using AWS SageMaker o Build RAG pipelines with LlamaIndex/LangChain and vector search engines • Scalable AI Infrastructure o Architect distributed model training and inference pipelines on AWS o Design secure, efficient ML APIs with Lambda, API Gateway, and IAM • Product Integration o Leads development of novel solutions to challenging problems o Embed intelligent systems (tutoring agents, recommendation engines) into learning platforms using Bedrock, SageMaker, and AWS-hosted endpoints • Rapid Experimentation o Prototype multimodal and few-shot learning workflows using AWS services o Automate experimentation and A/B testing with Step Functions and SageMaker Pipelines • Data & Impact Analysis o Leverage S3, Athena, and CloudWatch to define metrics and continuously optimize AI performance • Cross-Team Collaboration o Work closely with educators, designers, and engineers to deliver AI features that enhance student learning o Mentors junior engineers and provides technical leadership Who You Are • Deeply Technical: Strong foundation in machine learning, deep learning, and NLP/LLMs • AWS-Fluent: Extensive experience with AWS ML services (especially SageMaker, Lambda, and Bedrock) • Product-Minded: You care about user experience and turning ML into real-world value • Startup-Savvy: Comfortable with ambiguity, fast iterations, and wearing many hats • Mission-Aligned: Passionate about education, human learning, and AI for good Bonus Points • Hands-on experience fine-tuning LLMs or building agentic systems using AWS • Open-source contributions in AI/ML or NLP communities • Familiarity with AWS security best practices (IAM, VPC, private endpoints) Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Junior Data Scientist Location: Bangalore Reporting to: Senior Manager – Analytics Purpose of the role The Global GenAI Team at Anheuser-Busch InBev (AB InBev) is tasked with constructing competitive solutions utilizing GenAI techniques. These solutions aim to extract contextual insights and meaningful information from our enterprise data assets. The derived data-driven insights play a pivotal role in empowering our business users to make well-informed decisions regarding their respective products. In the role of a Machine Learning Engineer (MLE), you will operate at the intersection of: LLM-based frameworks, tools, and technologies Cloud-native technologies and solutions Microservices-based software architecture and design patterns As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. Key tasks & accountabilities Large Language Models (LLM): Experience with LangChain, LangGraph Proficiency in building agentic patterns like ReAct, ReWoo, LLMCompiler Multi-modal Retrieval-Augmented Generation (RAG): Expertise in multi-modal AI systems (text, images, audio, video) Designing and optimizing chunking strategies and clustering for large data processing Streaming & Real-time Processing: Experience in audio/video streaming and real-time data pipelines Low-latency inference and deployment architectures NL2SQL: Natural language-driven SQL generation for databases Experience with natural language interfaces to databases and query optimization API Development: Building scalable APIs with FastAPI for AI model serving Containerization & Orchestration: Proficient with Docker for containerized AI services Experience with orchestration tools for deploying and managing services Data Processing & Pipelines: Experience with chunking strategies for efficient document processing Building data pipelines to handle large-scale data for AI model training and inference AI Frameworks & Tools: Experience with AI/ML frameworks like TensorFlow, PyTorch Proficiency in LangChain, LangGraph, and other LLM-related technologies Prompt Engineering: Expertise in advanced prompting techniques like Chain of Thought (CoT) prompting, LLM Judge, and self-reflection prompting Experience with prompt compression and optimization using tools like LLMLingua, AdaFlow, TextGrad, and DSPy Strong understanding of context window management and optimizing prompts for performance and efficiency 3. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) Bachelor's or masterʼs degree in Computer Science, Engineering, or a related field. Previous Work Experience Required Proven experience of 3+ years in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. Technical Skills Required Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, LammaIndex, OLamma, etc. Proficiency in implementing and optimizing machine learning models for natural language processing. Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. Strong programming skills in languages such as Python and proficiency in relevant frameworks. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). And above all of this, an undying love for beer! We dream big to create future with more cheer Show more Show less

Role Title: Data Scientist Location: India Worker Type: Full-Time Employee (FTE) Years of Experience: 8+ years Start Date: Within 2 weeks Engagement Type: Full-time Salary Range: Flexible Remote/Onsite: Hybrid (India-based candidates) Job Overview: We are looking for an experienced Data Scientist to join our team and contribute to developing AIdriven data conversion tools. You will work closely with engineers and business stakeholders to build intelligent systems for data mapping, validation, and transformation. Required Skills and Experience: • Bachelor’s or Master’s in Data Science, Computer Science, AI, or a related field • Strong programming skills in Python and SQL • Experience with ML frameworks like TensorFlow or PyTorch • Solid understanding of AI-based data mapping, code generation, and validation • Familiarity with databases like SQL Server and MongoDB • Excellent collaboration, problem-solving, and communication skills • At least 8 years of relevant experience in Data Science • Open mindset with a willingness to experiment and learn from failures Preferred Qualifications: • Experience in the financial services domain • Certifications in Data Science or AI/ML • Background in data wrangling, ETL, or master data management • Exposure to DevOps tools like Jira, Confluence, BitBucket • Knowledge of cloud and AI/ML tools like Azure Synapse, Azure ML, Cognitive Services, and Databricks • Prior experience delivering AI solutions for data conversion or transformation Show more Show less

Company Description zipp.ai is building AI to improve Food & Drug Quality. We are revolutionizing Quality & GxP compliance for Pharma and Food industries. Our mission is to ensure 100% compliance with Good Manufacturing Practices (GMP) by proactively detecting deviations and analyzing process gaps. We provide innovative solutions to tackle quality and compliance challenges faced by manufacturers, leveraging advanced technology and AI to enhance product quality and operational efficiency. Why Join zipp.ai? High Impact: You will be a foundational member of the AI team, with your work directly shaping our core products and value proposition. Cutting-Edge Work: Tackle challenging problems at the intersection of AI and a critical, regulated industry. Growth & Mentorship: Work directly with an experienced founding team (ex-Microsoft, ex-Accenture) and a world-class advisory board. Startup Culture: Experience a fast-paced, agile, and collaborative environment with significant learning opportunities. Competitive Compensation: We offer a competitive salary and the potential for equity (ESOPs) for a core team member. Role Description As an AI/ML Engineer at zipp.ai, you will be at the heart of our product innovation. You will research, design, develop, and deploy the core AI models that power our platform, from analyzing complex regulatory documents to identifying anomalies in manufacturing data. This role requires a strong foundation in machine learning and a passion for applying cutting-edge technology, especially Large Language Models (LLMs) and Natural Language Processing (NLP), to solve real-world problems. Key Responsibilities Design, train, fine-tune, and deploy ML/NLP models for tasks such as document understanding, gap analysis, data classification, and trend analysis. Work extensively with LLMs, including prompt engineering, fine-tuning, and implementing retrieval-augmented generation (RAG) pipelines for our domain-specific conversational AI features. Develop and maintain data processing pipelines for cleaning, preparing, and managing large datasets (primarily textual and structured data). Integrate trained models into our cloud-based application (hosted on Azure) by building and maintaining robust APIs. Rigorously evaluate model performance using appropriate metrics (accuracy, precision, recall, etc.) and continuously iterate to improve results. Collaborate closely with our CTO, product team, and GxP domain experts to translate business requirements into technical AI solutions. Stay current with the latest advancements in AI, ML, and NLP and champion new techniques that can enhance our product suite. Skills & Qualifications We Require: Proven hands-on experience in building and deploying machine learning or generative AI models. Strong proficiency in Python and core AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Solid experience with Natural Language Processing (NLP) techniques and libraries (e.g., Hugging Face Transformers, NLTK, spaCy). Demonstrable experience working with Large Language Models (LLMs) and associated technologies. Familiarity with software engineering best practices, including version control (Git) and API development. What Will Make You Stand Out (Preferred Skills): Experience with cloud platforms, particularly Microsoft Azure and its AI/ML services. Understanding of MLOps principles for managing the model lifecycle. Experience with vector databases and semantic search. Startup experience and a proactive, problem-solving mindset. If you are driven to build intelligent solutions that have a real-world impact on product quality and safety, we would love to hear from you. How to Apply: Please apply directly via LinkedIn or send your resume and a brief introduction to hr@zipp-ai.com Show more Show less

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Experience: 5+ Years Strong working experience in machine learning, with a proven track record of delivering impactful solutions in NLP, machine vision, and AI. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy). Strong understanding of statistical concepts and techniques, and experience applying them to real-world problems. Strong programming skills in Python, and proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX, as well as machine learning libraries such as scikit-learn. Practical experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), and the ability to apply them to real-world problems. Excellent problem-solving skills, with a creative and analytical mindset. Strong communication and teamwork skills, with the ability to work effectively in a team environment and interact with stakeholders at all levels. Experience with AI ethics and responsible AI practices RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We are looking for a highly skilled and motivated Data Scientist with 3+ of professional experience to join our dynamic team. The ideal candidate will excel in data analytics, working with complex datasets, and applying machine learning and deep learning techniques to solve real-world problems. If you are passionate about leveraging data to drive insights and innovation, this is the role for you. Key tasks & accountabilities Analyze and interpret complex datasets to uncover actionable insights. Design, develop, and implement machine learning and deep learning models using tools and frameworks such as Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, etc. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Create and maintain scalable data pipelines and workflows. Use statistical techniques to test hypotheses and validate models. Optimize machine learning algorithms for efficiency and scalability. Communicate insights and model performance to stakeholders via data visualization and presentations. Stay up-to-date with the latest advancements in data science, machine learning, and big data technologies. Qualifications, Experience, Skills Level Of Educational Attainment Required B. Tech in Computer Science, or Background in Statistics, Economics, Mathematics. Previous Work Experience & Skills Required Data Analytics: Proficiency in statistical analysis and deriving insights from data. Business Exposure: Experience in building optimization model, Marketing mix model. Machine Learning & Deep Learning Frameworks: Strong working knowledge of libraries like Pandas, Scikit-learn, TensorFlow, Keras, and PyTorch. Programming: Proficiency in Python and experience using GitHub for version control. Databases: Expertise in working with structured and unstructured data using databases. Cloud Platforms: Hands-on experience with Azure infrastructure for data storage, Azure DataBricks processing, and deployment. Data Visualization: Ability to create compelling visualizations using tools like Matplotlib, Seaborn, or Power BI. Complex Datasets: Exposure to working with large and intricate datasets in various domains. Version Control: Experience using GitHub for version control, collaboration, and managing repositories effectively And above all of this, an undying love for beer! We dream big to create future with more cheer Show more Show less

Area(s) of responsibility Empowered By Innovation Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Role: AI Consultant Location: Bangalore, Pune, Noida Experience: 6-9 years AI Consultant to enhance and apply Birlasoft’s AI Parts Classification tool, generating Product Category and enriching attributes. The role requires AI/ML expertise, industrial parts knowledge, and stakeholder collaboration. Key Responsibilities Analyze Birlasoft’s AI Parts Classification tool and identify gaps Enhance AI/ML models (e.g., NLP, clustering, GenAI) Fine-tune models for accuracy and scalability Validate AI outputs against business requirements, iterating as needed. Work with stakeholders to validate attributes and refine AI outputs. Ensure AI outputs integrate into the project pipeline, applying business rules to prioritize existing values. Document enhancements, processes, and validation insights for reports. Skills And Qualifications 7+ years in AI-driven data classification, ideally in industrial parts/MRO domains. Proven ability to enhance AI/ML tools for business-specific needs. Expertise in AI/ML (NLP, clustering, supervised/unsupervised learning). Experience with AI classification tools and programming (Python/R). Knowledge of industrial standards (e.g., UNSPSC, eClass). Ability to translate business needs into AI classification tasks. Strong stakeholder management and communication skills. Education Bachelor’s/Master’s in Computer Science, Data Science, AI, or related field. AI/ML certification (e.g., TensorFlow, AWS ML) is a plus. Show more Show less

About Beco Beco ( letsbeco.com ) is a fast-growing Mumbai-based consumer-goods company on a mission to replace everyday single-use plastics with planet-friendly, bamboo- and plant-based alternatives. From reusable kitchen towels to biodegradable garbage bags, we make sustainable living convenient, affordable and mainstream. Our founding story began with a Mumbai beach clean-up that opened our eyes to the decades-long life of a single plastic wrapper—sparking our commitment to “Be Eco” every day. Our mission: “To craft, support and drive positive change with sustainable & eco-friendly alternatives—one Beco product at a time.” Backed by marquee climate-focused VCs and now 50 + employees, we are scaling rapidly across India’s top marketplaces, retail chains and D2C channels. Why we’re hiring Sustainability at scale demands operational excellence. As volumes explode, we need data-driven, self-learning systems that eliminate manual grunt work, unlock efficiency and delight customers. You will be the first dedicated AI/ML Engineer at Beco—owning the end-to-end automation roadmap across Finance, Marketing, Operations, Supply Chain and Sales. Responsibilities Partner with functional leaders to translate business pain-points into AI/ML solutions and automation opportunities. Own the complete lifecycle: data discovery, cleaning, feature engineering, model selection, training, evaluation, deployment and monitoring. Build robust data pipelines (SQL/BigQuery, Spark) and APIs to integrate models with ERP, CRM and marketing automation stacks. Stand up CI/CD + MLOps (Docker, Kubernetes, Airflow, MLflow, Vertex AI/SageMaker) for repeatable training and one-click releases. Establish data-quality, drift-detection and responsible-AI practices (bias, transparency, privacy). Mentor analysts & engineers; evangelise a culture of experimentation and “fail-fast” learning—core to Beco’s GSD (“Get Sh#!t Done”) values. Must-have Qualifications 3 + years hands-on experience delivering ML, data-science or intelligent-automation projects in production. Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL; solid grasp of statistics, experimentation and feature engineering. Experience building and scaling ETL/data pipelines on cloud (GCP, AWS or Azure). Familiarity with modern Gen-AI & NLP stacks (OpenAI, Hugging Face, RAG, vector databases). Track record of collaborating with cross-functional stakeholders and shipping iteratively in an agile environment. Nice-to-haves Exposure to e-commerce or FMCG supply-chain data. Knowledge of finance workflows (Reconciliation, AR/AP, FP&A) or RevOps tooling (HubSpot, Salesforce). Experience with vision models (Detectron2, YOLO) and edge deployment. Contributions to open-source ML projects or published papers/blogs. What Success Looks Like After 1 Year 70 % reduction in manual reporting hours across finance and ops. Forecast accuracy > 85 % at SKU level, slashing stock-outs by 30 %. AI chatbot resolves 60 % of tickets end-to-end, with CSAT > 4.7/5. At least two new data-products launched that directly boost topline or margin. Life at Beco Purpose-driven team obsessed with measurable climate impact. Entrepreneurial, accountable, bold” culture—where winning minds precede outside victories. Show more Show less

Role Overview We are hiring a Technical Lead – AI Security to join our CISO team in Mumbai. This is a critical, hands-on role — ensuring the trustworthiness, resilience, and compliance of AI/ML systems, including large language models (LLMs). You will work at the intersection of cybersecurity and AI, shaping secure testing, understanding secure MLOps/LLMOps workflows, and leading technical implementation of defenses against emerging AI threats. This role requires both strategic vision and strong engineering depth. Key Responsibilities · Lead and operationalize the AI/ML and LLM security roadmap across training, validation, deployment, and runtime to enable AI Security Platform Approach. · Design and implement defenses against threats like adversarial attacks, data poisoning, model inversion, prompt injection, and fine-tuning exploits using industry leading open source and commercial tools. · Build hardened workflows for model security, integrity verification, and auditability in production AI environments. · Leverage AI security tools for scanning, fuzzing, and penetration testing models. · Apply best practices from OWASP Top 10 for ML/LLMs, MITRE ATLAS, NIST AI RMF, and ISO/IEC 42001 to test AI/ML assets. · Ensure AI model security testing framework aligns with internal policy, national regulatory requirements, and global best practices. · Plan and execute security tests for AI/LLM systems, including jailbreaking, RAG hardening, and bias/toxicity validation. Required Skills & Experience · 8+ years in cybersecurity, with at least 3+ years hands-on in AI/ML security or secure MLOps/LLMOps · Proficient in Python, TensorFlow/PyTorch, HuggingFace, LangChain, and common data science libraries · Deep understanding of adversarial ML/LLM, model evaluation under threat conditions, and inference/training-time attack vectors · Experience securing cloud-based AI workloads (AWS, Azure, or GCP) · Familiarity with secure DevOps and CI/CD practices · Strong understanding of AI-specific threat models (MITRE ATLAS) and security benchmarks (OWASP Top 10 for ML/LLMs) · Ability to communicate technical risk clearly to non-technical stakeholders · Ability to guide developers and data scientists to solve the AI Security risks. · Certifications: CISSP, OSCP, GCP ML Security, or relevant AI/ML certificates · Experience with AI security tools or platforms (e.g., model registries, lineage tracking, policy enforcement) · Experience with RAG, LLM-based agents, or agentic workflows · Experience in regulated sectors (finance, public sector) Show more Show less

YOE- 3 to 5 Yrs Location - Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech and Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Show more Show less

Organizational Context: Company Name- CIMET CIMET - A Comparison Software Leader Website- www.cimet.com.au Product Link - https://www.econnex.com.au/ LinkedIn- https://www.linkedin.com/company/cimet/about CIMET provides end-to-end comparison and signup of energy, telecommunication, credit cards and other products plans through its online solution in a B2B and B2C environment. It presently caters to more than 40+ Utilities and Financial Service providers and has over 200+ partners. The online comparison market is extremely crowded in Australia, with most comparators providing a light touch directory solution. CIMET saw this as an opportunity and developed a fully integrated online comparison and signup platform. On 15 March 2022, CIMET partnered with iSelect who acquired a 49% stake in CIMET Holdings. Going forward, CIMET will use this investment from iSelect to expand into new products including Credit Cards, Home loans, Car loans, Personal loans, Life Insurance, Health Insurance, Pet Insurance among others. CIMET today has around 200+ team members, across Australia, India and Philippines and will double over the next 2 years. Purpose Of The Position: We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.. Key Responsibilities : · Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. · Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. · Lead the development of Generative AI solutions, including content generation and automation. · Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. · Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. · Perform data exploration, analysis, and feature engineering to improve model performance. · Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. · Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. · Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. · Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications: · 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. · Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. · Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. · In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). · Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. · Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. · Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. · Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. · Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. · Knowledge of MLOps and experience deploying models in production environments. · Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications: · Experience with Reinforcement Learning and Recommender Systems personalization techniques. · Experience of working with AWS Bedrock services. · Familiarity with ethical AI and model bias mitigation techniques. · Experience with A/B testing, experimentation, and performance tracking for AI models in production. · Prior experience mentoring junior data scientists and leading AI/ML projects. · Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. Why Join Us? • Opportunity to be part of a rapidly growing, innovative product-based company. • Collaborate with a talented, driven team focused on building high-quality software solutions. • Competitive compensation and benefits package. Show more Show less

Artificial Intelligence and Machine Learning Engineering – Associate Director, Corporate Technology

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Design, develop, and maintain high-performance, reliable, and scalable Python-based applications. Collaborate with cross-functional teams including designers, developers, and product managers to implement software solutions that meet business goals. Contribute to all phases of the development lifecycle, from proposing and designing new features to rolling out significant changes in functionality. Write reusable, testable, and efficient code while adhering to industry best practices and standards. Debug and optimize existing code and perform regular code reviews for peers to ensure software integrity, quality, and security. Identify and resolve bottlenecks and bugs to improve application performance. Provide technical support and guidance to junior developers, assisting in their professional growth. Stay informed of emerging technologies and industry trends to ensure the company's applications remain at the forefront of innovation. Required Skills: Proficiency in Python with a strong understanding of its libraries and frameworks such as Django or Flask. In-depth knowledge of data structures, algorithms, and software design patterns. Experience with version control systems, particularly Git. Solid understanding of both frontend and backend development, preferably with knowledge of RESTful API design and implementation. Ability to write efficient code that is scalable and maintainable. Strong problem-solving skills and the ability to work independently as well as in a team environment. Excellent communication skills for effective collaboration and reporting. Preferred Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with distributed systems and microservices architecture. Knowledge of containerization technologies like Docker or Kubernetes. Experience with data analysis and manipulation using libraries such as Pandas or NumPy. Understanding of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Exposure to machine learning frameworks like TensorFlow or Scikit-learn. Prior experience with database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra). Mandatory Skill Sets: Python Preferred Skill Sets: Python Years Of Experience Required: 5-10 Years Education Qualification: BE, B.Tech, MCA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 12 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less