243 Aws Sagemaker Jobs

Skills & Qualifications Exp - 4-6 years in Real world data analysis Qualification - Masters/PhD in statistics, M. Tech, M. Pharma Strong foundation in large database analysis, biostatistics, clinical trial, observational research and epidemiology Experience with handling large databases like administrative claims, electronic health records, patient chart review, Ability to manage multiple projects and deliver results under tight timelines Excellent interpersonal skills and analytical thoughts Tool & Platform Expertise Healthcare coding system ICD9 and 10, HCPCS, CPT, NDC etc. Use programming languages and tools such as SAS, R, R-Shiny, SQL, Python, Power BI Familiarity with RWE platforms like AWS, SAGEMAKER, AZURE and data standards like CDISC Core Responsibilities Data Analysis & Interpretation Analyse large datasets from sources like electronic health records, claims databases, and registries Apply statistical methods to assess patient journey, treatment outcomes, and healthcare utilization and capable to provide key insights and takeaways Study Design & Execution Develop protocols, statistical analysis plans, and research proposals Conduct observational studies and retrospective analyses using real-world data Collaboration & Communication Work cross-functionally with medical affairs, epidemiology, health economics, and commercial teams Excellent presentation skills Don&apost meet every job requirement That&aposs okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you&aposre excited about this role, but your experience doesn&apost perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others. Show more Show less

As a Senior Scientist in Decision Sciences at Western Union, based in Pune, India, you will be a pivotal part of the team responsible for managing fraud losses and optimizing revenue opportunities for online transactions. Your role will involve developing and maintaining risk models and rules to safeguard customers and Western Union against fraudulent activities. Your primary responsibilities will include: - Developing real-time and batch risk models to screen online transactions and prevent fraudulent activities - Documenting and communicating model results and insights internally - Continuously evaluating and enhancing the effectiveness of risk models and rules - Analyzing online transaction data to identify opportunities for reducing losses and creating actionable plans to capitalize on these opportunities - Profiling customer behavior to enhance the performance of models and rules To be successful in this role, you should possess: - A Master's or Graduate degree in a quantitative field such as Statistics, Math, Operations Research, MS, M-tech, or B-tech - A minimum of 5 years of relevant experience, with a proven track record in using advanced quantitative and statistical techniques - Strong problem-solving and analytical skills - Excellent communication skills to convey fraud insights effectively - Proficiency in SQL and at least one of the Python/R programming languages, with a willingness to learn new tools and technologies on the job - Experience in developing predictive models such as logistic regression, decision trees, and machine learning techniques - Intermediate knowledge of Microsoft Excel/Power BI/PPT and exposure to cloud systems like AWS Sagemaker/Dataiku would be advantageous At Western Union, we are committed to making financial services accessible worldwide and transforming lives and communities. Join our diverse and customer-centric team to be part of the future of financial services. As a valued employee, you will have ample opportunities for skill development, career advancement, and a competitive compensation package. The role is categorized as Hybrid, allowing you to work flexibly between home and office, with a minimum requirement of three days in the office per week. If you are ready to contribute to the future of financial services and make a meaningful impact, apply now and be part of Western Union's mission to connect people and businesses globally.,

You are an experienced Senior Machine Learning Engineer looking to leverage your expertise in building and deploying ML model pipelines at scale. As part of Salesforce's Marketing AI/ML Algorithms and Applications team, you will play a crucial role in developing high-impact ML solutions that enhance marketing effectiveness and deliver customer value. In this role, you will collaborate closely with Data Science, Data Engineering, Product, and Marketing teams to design, implement, and operate end-to-end ML solutions at scale. Your responsibilities will include designing and developing scalable ML platforms and pipelines, implementing MLOps best practices for model serving and lifecycle management, optimizing ML workflows for scale and performance, and collaborating with cross-functional teams to create ML-driven decision-making data products. You will also evaluate and adopt emerging ML technologies, lead the design and deployment of ML model pipelines, implement infrastructure-as-code and automation for efficient ML operations, support the rollout of ML features, define and implement ML governance policies, and contribute to scaling operations by developing automation scripts and reusable libraries. To excel in this role, you should have 5+ years of experience in building and deploying ML model pipelines at scale, expert-level knowledge of containerization, orchestration, and workflow management technologies, advanced Python skills, extensive experience with cloud-based ML platforms, a proven track record in implementing MLOps best practices, proficiency in ML frameworks and MLOps tools, strong problem-solving skills, and experience contributing to ML projects that deliver measurable business value in marketing or customer analytics. This position offers you an exciting opportunity to apply your machine learning engineering expertise to drive data and AI-driven innovation for Salesforce, the world's #1 CRM provider. By working closely with the Data Science team, you will unlock transformative value for Salesforce's global customer base through AI/ML-driven marketing initiatives. Join us in shaping the future of customer engagement powered by AI and be a part of our mission to empower companies to do well and do good.,

Join the Agentforce team in AI Cloud at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organizations. We work in a highly collaborative environment, and you will partner with a highly cross-functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our cutting edge new AI framework. We value execution, clear communication, feedback and making learning fun. Your impact - You will: Architect, design, implement, test, and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc.) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps Analyze and provide feedback on product strategy and technical feasibility Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Actively communicate with, encourage and motivate all levels of staff. Be a subject matter expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements Troubleshoot complex production issues and interface with support and customers as needed Drives long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Required Skills: 12+ years of experience in building highly scalable Software-as-a-Service applications/platform Experience building technical architectures that address complex performance issues Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt Deep knowledge of object-oriented programming and experience with at least one object-oriented programming language, preferably Java Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.) Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium Demonstrated ability to drive long-term design strategies that span multiple complex projects Experience delivering technical reports and presentations to customers and at industry events Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues Experience with the full software lifecycle in highly agile and ambiguous environments Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management, and/or client SDKs development Experience with machine learning or cloud technology platforms like AWS SageMaker, Terraform, Spinnaker, EKS, GKE Experience with AI/ML and Data science, including Predictive and Generative AI Experience with data engineering, data pipelines or distributed systems Experience with continuous integration (CI) and continuous deployment (CD), and service ownership Familiarity with Salesforce APIs and technologies Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills,

As a Learning Data Science/Machine Learning Professional at our organization, you will be responsible for conducting live instruction sessions to teach core topics in data science and machine learning. These topics include supervised and unsupervised learning, deep learning, model evaluation, and MLOps. You will engage with learners through interactive sessions to ensure a comprehensive understanding of the subject matter. Collaboration with content teams is a crucial aspect of this role. You will work closely with these teams to design labs, conduct code walkthroughs, and develop real-world case studies utilizing Python, scikit-learn, TensorFlow/PyTorch, and cloud-based data science and machine learning services. Your input will contribute to the creation of a dynamic and engaging curriculum. In addition to live instruction and curriculum collaboration, you will provide support to learners by addressing technical queries, debugging code, reviewing notebooks, and offering constructive feedback on assignments and projects. Your mentorship will extend to guiding learners on capstone projects such as image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous improvement is a key focus area of this role. You will analyze learner performance data to refine modules, introduce emerging topics like transformers and generative models, and enhance assessments to ensure an enriching learning experience. To be successful in this position, you should possess a minimum of 3 years of industry or academic experience in data science, machine learning, or artificial intelligence. A Master's degree in Data Science, Machine Learning, AI, or a Computer Science specialization in AI and Data Science/Machine Learning is required. Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch is essential. Familiarity with MLOps tools like Docker, Kubernetes, MLflow, and cloud ML services such as AWS SageMaker, GCP AI Platform, or Azure ML is highly desirable. Strong presentation and mentoring skills in live and small-group settings are crucial for this role. Previous teaching or educational technology experience would be a significant advantage in fulfilling the responsibilities of this position.,

You should possess a BTech degree in computer science, engineering, or a related field of study, or have 12+ years of related work experience. Additionally, you should have at least 7 years of design and implementation experience with large-scale data-centric distributed applications. It is essential to have professional experience in architecting and operating cloud-based solutions, with a good understanding of core disciplines such as compute, networking, storage, security, and databases. A strong grasp of data engineering concepts like storage, governance, cataloging, data quality, and data modeling is required. Familiarity with various architecture patterns like data lake, data lake house, and data mesh is also important. You should have a good understanding of Data Warehousing concepts and hands-on experience with tools like Hive, Redshift, Snowflake, and Teradata. Experience in migrating or transforming legacy customer solutions to the cloud is highly valued. Moreover, experience working with services like AWS EMR, Glue, DMS, Kinesis, RDS, Redshift, Dynamo DB, Document DB, SNS, SQS, Lambda, EKS, and Data Zone is necessary. A thorough understanding of Big Data ecosystem technologies such as Hadoop, Spark, Hive, and HBase, along with other relevant tools and technologies, is expected. Knowledge in designing analytical solutions using AWS cognitive services like Textract, Comprehend, Rekognition, and Sagemaker is advantageous. You should also have experience with modern development workflows like git, continuous integration/continuous deployment pipelines, static code analysis tooling, and infrastructure-as-code. Proficiency in a programming or scripting language like Python, Java, or Scala is required. Possessing an AWS Professional/Specialty certification or relevant cloud expertise is a plus. In this role, you will be responsible for driving innovation within the Data Engineering domain by designing reusable and reliable accelerators, blueprints, and libraries. You should be capable of leading a technology team, fostering an innovative mindset, and enabling fast-paced deliveries. Adapting to new technologies, learning quickly, and managing high ambiguity are essential skills for this position. You will collaborate with business stakeholders, participate in various architectural, design, and status calls, and showcase good presentation skills when interacting with executives, IT Management, and developers. Furthermore, you will drive technology/software sales or pre-sales consulting discussions, ensure end-to-end ownership of tasks, and maintain high-quality software development with complete documentation and traceability. Fulfilling organizational responsibilities, sharing knowledge and experience with other teams/groups, conducting technical training sessions, and producing whitepapers, case studies, and blogs are also part of this role. The ideal candidate for this position should have 10 to 18 years of experience and be able to reference the job with the number 12895.,

Organization: At CommBank, we never lose sight of the role we play in other peoples financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Staff Software Manager (Data) Location: Bangalore Business & Team: Our Bankwest Technology division is at the heart of our digital product strategy and is responsible for the management and deployment of technology change across the organisation. Our tech teams work at pace, with autonomy and local decision making, to deploy world-class solutions in the pursuit of our business strategy. Youll be joining our Bankwest Tech Team, a critical supporting function that allows teams to deliver rapidly whilst still aligning to a strategic roadmap. As a team of trusted internal consultants, youll provide the expertise, guidance and technology governance to delivery teams to plot a pragmatic path between todays deliverables and our longer term enterprise objectives. Youll provide input into roadmaps, best practice, standards and methodologies to help ensure high quality outcomes, and oversee implementation to ensure business objectives are met. Since you bridge the gap between business problems and technology solutions, youll need to be equally comfortable engaging with senior stakeholders as with engineering teams, and excellent communication skills (in both directions) are a must. And often youll work across a range of different initiatives, so whilst youre never short of a challenge, the ability to work independently and manage your own time is important Impact & contribution: As a Staff Manager you are: Empathetic and self-aware. You think and care deeply about how you might interact with your team, stakeholders and customers. A Mentor, harboring a passion to nurture, grow and influence those around you to think differently and always maintain a growth mindset. Innovative. You continually seek to improve the status quo for our customers. You inspire your team to do the same and remain resilient through change. Promoting quality and delivering at pace through the maximization of automation is one of the key focus areas of the role. Ownership, you take responsibility for the software design, engineering processes and quality standards of yours as well as your team members as you work in a collaborative environment. Roles & responsibilities: As a Staff Software Manager, you - Work with the team to understand our customers' core business objectives and deliver quality data centric solutions within committed timeframes Contribute to thought leadership enabling analytics teams to deliver world class data centric solutions and analytics by championing sustainable and re-useable data assets Design and build group data assets by integrating diverse data from internal and external sources. Help to promote best in class coding standards and practices to ensure high quality and minimum risk. Collaborating and communicating with business and delivery stakeholders and working without supervision. Identify and escalate Technical Debt through simple processes to support effective planning and risk management. Risk Mindset All Bankwest employees are expected to proactively identify and understand, openly discuss and act on current and future risks. Able to build solutions that are fit for purpose, perform well with large data volume and complex data transformation rules, and reliable to operate Understanding of the development and release cycle following Change Management processes. Creative problem solver, with open thinking to generate and support new or better ways of doing things. Strong capability and experience with modern engineering practices and techniques Experience with Agile working practices is beneficial Prior experience working in Financial Services industry would be highly regarded, but not essential. Essential skills: 11+ years of experience in relevant field. Continuously improve the data products with best engineering solutions. Strategize, Design and Implement (hands on) highly reliable and scalable data pipelines and data platforms with comprehensive test coverage on AWS Cloud using AWS cloud native services AWS SageMaker, Redshift etc Build and implement data pipelines in distributed data platforms including warehouses, databases, data lakes and cloud Lake houses to enable data predictions and models, and reporting and visualization analysis via data integration tools and frameworks. RDBMS Experience on any prominent Database is required with strong SQL expertise. Required skills: Strategic thinking, External perspective, Product delivery Working with distributed teams, Continuous delivery and Agile practices, People leadership, Building high performing teams Development, analysis or testing Educational Qualification: Bachelors degree or Masters degree in engineering in Information Technology. If you&aposre already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you&aposll need to apply through Sidekick to submit a valid application. Were keen to support you with the next step in your career. We&aposre aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 24/07/2025 Show more Show less

???? Were Hiring: AI Engineer ???? Location: Bengaluru (Regular office-based role) ???? Employment Type: Full-Time | 5 Days a Week from Office ???? Qualification: B.E / B.Tech or equivalent degree in Computer Science, IT, or related field Are you passionate about building and scaling production-grade AI/ML systems We&aposre looking for a skilled AI Engineer to join our team in Bengaluru and help drive real-world impact through cutting-edge machine learning and GenAI technologies. ???? Must-Have Skills: 48 years of hands-on experience in designing, building, and deploying production-grade AI/ML solutions Proficiency in Python, PySpark, SQL , and ML libraries like Scikit-learn, XGBoost, LightGBM Cloud-native ML development experience on AWS (SageMaker), GCP (Vertex AI), or Azure ML Strong background in NLP/GenAI frameworks: Hugging Face, LangChain, LlamaIndex Practical knowledge of MLOps tools (MLflow, Weights & Biases, DVC) and deployment frameworks ( FastAPI, Flask, Docker, Kubernetes ) Excellent communication, stakeholder engagement, and team collaboration skills Good-to-Have: Publications, blog posts, or open-source contributions in AI/ML Experience leading AI strategy or owning technical roadmaps Show more Show less

As a Senior Machine Learning Engineer Contractor specializing in AWS ML Pipelines, your primary responsibility will be to design, develop, and deploy advanced ML pipelines within an AWS environment. You will work on cutting-edge solutions that automate entity matching for master data management, implement fraud detection systems, handle transaction matching, and integrate GenAI capabilities. The ideal candidate for this role should possess extensive hands-on experience in AWS services like SageMaker, Bedrock, Lambda, Step Functions, and S3. Moreover, you should have a strong command over CI/CD practices to ensure a robust and scalable solution. Your key responsibilities will include designing and developing end-to-end ML pipelines focusing on entity matching, fraud detection, and transaction matching. You will be integrating generative AI solutions using AWS Bedrock to enhance data processing and decision-making. Collaboration with cross-functional teams to refine business requirements and develop data-driven solutions tailored to master data management needs will also be a crucial aspect of your role. In terms of AWS ecosystem expertise, you will be required to utilize SageMaker for model training, deployment, and continuous improvement. Additionally, leveraging Lambda and Step Functions to orchestrate serverless workflows for data ingestion, preprocessing, and real-time processing will be part of your daily tasks. Managing data storage, retrieval, and scalability concerns using AWS S3 will also be within your purview. Furthermore, you will need to develop and integrate automated CI/CD pipelines to streamline model testing, deployment, and version control. Ensuring rapid iteration and robust deployment practices to maintain high availability and performance of ML solutions will be essential. Data security and compliance will be a critical aspect of your role. You will need to implement security best practices to safeguard sensitive data, ensuring compliance with organizational and regulatory requirements. Incorporating monitoring and alerting mechanisms to maintain the integrity and performance of deployed ML models will be part of your responsibilities. Collaboration and documentation will also play a significant role in your day-to-day activities. Working closely with business stakeholders, data engineers, and data scientists to ensure solutions align with evolving business needs will be crucial. You will also need to document all technical designs, workflows, and deployment processes to support ongoing maintenance and future enhancements. Providing regular progress updates and adapting to changing priorities or business requirements in a dynamic environment are expected. To qualify for this role, you should have at least 5+ years of professional experience in developing and deploying ML models and pipelines. Proven expertise in AWS services including SageMaker, Bedrock, Lambda, Step Functions, and S3 is necessary. Strong proficiency in Python and/or PySpark, demonstrated experience with CI/CD tools and methodologies, and practical experience in building solutions for entity matching, fraud detection, and transaction matching within a master data management context are also required. Familiarity with generative AI models and their application within data processing workflows will be an added advantage. Strong analytical and problem-solving skills are essential for this role. You should be able to transform complex business requirements into scalable technical solutions and possess strong data analysis capabilities with a track record of developing models that provide actionable insights. Excellent verbal and written communication skills, the ability to work independently as a contractor while effectively collaborating with remote teams, and a proven record of quickly adapting to new technologies and agile work environments are also preferred qualities for this position. A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field is a plus. Experience with additional AWS services such as Kinesis, Firehose, and SQS, prior experience in a consulting or contracting role demonstrating the ability to manage deliverables under tight deadlines, and experience within industries where data security and compliance are critical will be advantageous.,

Job Posting TitleSR. DATA SCIENTIST Band/Level5-2-C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Solves complex problems and help stakeholders make data- driven decisions by leveraging quantitative methods, such as machine learning. It often involves synthesizing large volume of information and extracting signals from data in a programmatic way. Roles & Responsibilities Key Responsibilities Design, train, and evaluate supervised & unsupervised models (regression, classification, clustering, uplift). Apply automated hyperparameter optimization (Optuna, HyperOpt) and interpretability techniques (SHAP, LIME). Perform deep exploratory data analysis (EDA) to uncover patterns & anomalies. Engineer predictive features from structured, semistructured, and unstructured data; manage feature stores (Feast). Ensure data quality through rigorous validation and automated checks. Build hierarchical, intermittent, and multiseasonal forecasts for thousands of SKUs. Implement traditional (ARIMA, ETS, Prophet) and deeplearning (RNN/LSTM, TemporalFusion Transformer) approaches. Reconcile forecasts across product/category hierarchies; quantify accuracy (MAPE, WAPE) and bias. Establish model tracking & registry (MLflow, SageMaker Model Registry). Develop CI/CD pipelines for automated retraining, validation, and deployment (Airflow, Kubeflow, GitHub Actions). Monitor data & concept drift; trigger retuning or rollback as needed. Design and analyze A/B tests, causal inference studies, and Bayesian experiments. Provide statisticallygrounded insights and recommendations to stakeholders. Translate business objectives into datadriven solutions; present findings to exec & nontech audiences. Mentor junior data scientists, review code/notebooks, and champion best practices. Desired Candidate Minimum Qualifications M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science. 5+ years building and deploying ML models in production. Expertlevel proficiency in Python (Pandas, NumPy, SciPy, scikitlearn), SQL, and Git. Demonstrated success delivering largescale demandforecasting or timeseries solutions. Handson experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow) for model tracking and automated retraining. Solid grounding in statistical inference, hypothesis testing, and experimental design. Preferred / NicetoHave Experience in supplychain, retail, or manufacturing domains with highgranularity SKU data. Familiarity with distributed data frameworks (Spark, Dask) and cloud data warehouses (BigQuery, Snowflake). Knowledge of deeplearning libraries (PyTorch, TensorFlow) and probabilistic programming (PyMC, Stan). Strong datavisualization skills (Plotly, Dash, Tableau) for storytelling and insight communication. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more atwww.te.com and onLinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

The Senior Software Engineer, AI Platform will facilitate the build and operation of the centralized AI platform for AI/ML development and deployment across Thomson Reuters business operations. The Senior Software Engineer, AI Platform is expected to be an expert in AI tooling and setting up and streamlining AI workflows and building applications to enable AI/ML workflow development, testing and deployment About the role As a Senior Software Engineer, AI Platform , you will: Build and Maintain software that tracks the full lifecycle of ML from ideation to post deployment monitoring Assist in the deployment of machine learning models into production and support these models throughout their lifecycle, including GenAI models Build out features that help data scientists and AI novices to iterate and re-train models at speed and ease. Build out features that facilitate the data collection and annotation for non-structured data and NLP use cases Utilize a variety of software and tools both commercial and open source Enable self-service tooling for teams to create and maintain models Create and deploy tooling for model monitoring and model governance Be part of a model ops framework Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings About You Youre a fit for the role of Senior Software Engineer, AI Platform if you meet all or most of these criteria: 5 years in Software Engineering Hands-on experience working with public cloud technology (AWS, Azure, GCP) Ability to collaborate with scientists, product management and work with an engineering-focused, iterative team to build and establish product requirements. Comfortable building prototypes from scratch. Familiarity with AI concepts and hands on experience with AI solutions Experience with AWS sagemaker, Azure Studio or similar cloud AI capabilities Proficiency in modern programming languages and in particular Python Experience with relational and/or non-relational databases Experience with Agile development and delivery Scrum, Lean, XP, Kanban methodologies. Deep understanding of computer science concepts, such as time and space complexity, data structures and basic algorithms. Experience building ETL data pipelines. Hands on DevOps experience CI/CD in AWS, Git, Monitoring, Log Analytics #LI-HG1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 6+ years' experience in technology roles. Must have a minimum of 2 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

You are invited to join the dynamic team at HCL Software, a Product Development Division of HCL Tech, where we deliver cutting-edge software solutions catering to the transformative needs of clients worldwide. Our portfolio includes award-winning products in AI, Automation, Data & Analytics, Security, and Cloud domains. One of our flagship products is the HCL Unica+ Marketing Platform, which empowers our clients to execute precise and high-performance marketing campaigns across diverse channels such as social media, AdTech platforms, mobile applications, and websites. The Unica+ Marketing Platform stands out as a Data and AI first platform, enabling our customers to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. If you have a passion for leveraging Data Science and Machine Learning technologies to drive AI-driven Marketing Campaigns, we are looking for a skilled Sr. & Lead Python Developer with over 6 years of experience in this field to join our team. Qualifications & Skills: - A minimum of 6-12 years of Python Development Experience, with at least 4 years focused on data science and machine learning. - Proficiency with Customer Data Platforms (CDP) such as Treasure Data, Epsilon, Tealium, Adobe, and Salesforce is considered advantageous. - Experience with AWS SageMaker is a plus. - Familiarity with Lang Chain, RAG for Generative AI, Integration tools, and frameworks like Postman, Swagger, and API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to collaborate effectively within an agile team setup. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT is required. Responsibilities: - Proficient in Python programming, utilizing libraries like Pandas, NumPy, and Matplotlib/Seaborn for data manipulation, numerical operations, and data visualization. - Strong understanding of statistical concepts and modeling techniques, including hypothesis testing, regression analysis, and time series analysis. - Expertise in data cleaning, preprocessing, and feature engineering to handle real-world data effectively. - Proficient in SQL for database management and querying relational databases. - Skilled in exploratory data analysis to identify patterns and relationships within datasets. - Hands-on experience with various machine learning algorithms and deep learning frameworks like TensorFlow or PyTorch. - Ability to evaluate models, optimize performance, and deploy machine learning solutions in production environments. This role may involve approximately 30% travel, and the preferred location is India, with Pune being the preferred choice. If you are ready to contribute to innovative projects and be rewarded with a competitive base salary and bonus structure, we look forward to meeting you for a face-to-face interview on 2nd August in Hinjewadi, Pune.,

About StatusNeo: At StatusNeo, we are committed to redefining the way businesses operate. As a leader in digital transformation, we leverage cutting-edge technologies and innovative strategies to empower organizations around the globe. Our partnerships with industry giants and our commitment to continuous learning and improvement provide an unparalleled platform for professional growth. Embrace a career at StatusNeo, where we value diversity, inclusivity and foster a hybrid work culture. Role: Data Engineer Location: Gurugram Key experience: - 3+ years of experience with AWS services including SQS, S3, Step Functions, EFS, Lambda, and OpenSearch. - Strong experience in API integrations, including experience working with large-scale API endpoints. - Proficiency in PySpark for data processing and parallelism in large-scale ingestion pipelines. - Experience with AWS OpenSearch APIs for managing search indices. - Terraform expertise for automating and managing cloud infrastructure. - Hands-on experience with AWS SageMaker, including working with machine learning models and endpoints. - Strong understanding of data flow architectures, document stores, and journal-based systems. - Experience in parallelizing data processing workflows to meet strict performance and SLA requirements. - Familiarity with AWS tools like CloudWatch for monitoring pipeline performance. Additional Preferred Qualifications: - Strong problem-solving and debugging skills in distributed systems. - Prior experience in optimizing ingestion pipelines with a focus on cost-efficiency and scalability. - Solid understanding of distributed data processing and workflow orchestration in AWS environments. Soft Skills: - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Ability to work in a fast-paced environment and deliver high-quality results under tight deadlines. - Analytical mindset, with a focus on performance optimization and continuous improvement.,

You have a minimum of 3 years of experience working with various AWS services such as SQS, S3, Step Functions, EFS, Lambda, and OpenSearch. Your role will involve handling API integrations, particularly with large-scale endpoints. Proficiency in PySpark is required for data processing and parallelism within large-scale ingestion pipelines. Additionally, you should be familiar with AWS OpenSearch APIs for managing search indices. Your responsibilities will include utilizing Terraform expertise to automate and manage cloud infrastructure. Hands-on experience with AWS SageMaker is necessary, including working with machine learning models and endpoints. A strong understanding of data flow architectures, document stores, and journal-based systems is expected from you. Experience in parallelizing data processing workflows to meet performance and SLA requirements is essential. Familiarity with AWS tools like CloudWatch for monitoring pipelines is preferred. You should also possess strong problem-solving and debugging skills within distributed systems. Prior experience in optimizing ingestion pipelines for cost-efficiency and scalability is an advantage, along with a solid understanding of distributed data processing and workflow orchestration in AWS environments. In terms of soft skills, effective communication and collaboration skills are necessary for seamless teamwork across different functions. The ability to thrive in a fast-paced environment and deliver high-quality results within tight deadlines is crucial. An analytical mindset focused on performance optimization and continuous improvement will be beneficial in this role.,

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. General Summary Preferred Qualifications 3+ years of experience as a Data Engineer or in a similar role Experience with data modeling, data warehousing, and building ETL pipelines Solid working experience with Python, AWS analytical technologies and related resources (Glue, Athena, QuickSight, SageMaker, etc.,) Experience with Big Data tools , platforms and architecture with solid working experience with SQL Experience working in a very large data warehousing environment, Distributed System. Solid understanding on various data exchange formats and complexities Industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets Strong data visualization skills Basic understanding of Machine Learning; Prior experience in ML Engineering a plus Ability to manage on-premises data and make it inter-operate with AWS based pipelines Ability to interface with Wireless Systems/SW engineers and understand the Wireless ML domain; Prior experience in Wireless (5G) domain a plus Education Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline Preferred QualificationsMasters in CS/ECE with a Data Science / ML Specialization Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field OR PhD in Engineering, Information Systems, Computer Science, or related field. 3+ years of experience with Programming Language such as C, C++, Java, Python, etc. Develops, creates, and modifies general computer applications software or specialized utility programs. Analyzes user needs and develops software solutions. Designs software or customizes software for client use with the aim of optimizing operational efficiency. May analyze and design databases within an application area, working individually or coordinating database development as part of a team. Modifies existing software to correct errors, allow it to adapt to new hardware, or to improve its performance. Analyzes user needs and software requirements to determine feasibility of design within time and cost constraints. Confers with systems analysts, engineers, programmers and others to design system and to obtain information on project limitations and capabilities, performance requirements and interfaces. Stores, retrieves, and manipulates data for analysis of system capabilities and requirements. Designs, develops, and modifies software systems, using scientific analysis and mathematical models to predict and measure outcome and consequences of design. Principal Duties and Responsibilities: Completes assigned coding tasks to specifications on time without significant errors or bugs. Adapts to changes and setbacks in order to manage pressure and meet deadlines. Collaborates with others inside project team to accomplish project objectives. Communicates with project lead to provide status and information about impending obstacles. Quickly resolves complex software issues and bugs. Gathers, integrates, and interprets information specific to a module or sub-block of code from a variety of sources in order to troubleshoot issues and find solutions. Seeks others' opinions and shares own opinions with others about ways in which a problem can be addressed differently. Participates in technical conversations with tech leads/managers. Anticipates and communicates issues with project team to maintain open communication. Makes decisions based on incomplete or changing specifications and obtains adequate resources needed to complete assigned tasks. Prioritizes project deadlines and deliverables with minimal supervision. Resolves straightforward technical issues and escalates more complex technical issues to an appropriate party (e.g., project lead, colleagues). Writes readable code for large features or significant bug fixes to support collaboration with other engineers. Determines which work tasks are most important for self and junior engineers, stays focused, and deals with setbacks in a timely manner. Unit tests own code to verify the stability and functionality of a feature. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job description Join the AI team at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organisations. We work in a highly collaborative environment, and you will partner with a highly cross functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our innovative new AI framework. We value execution, clear communication, feedback and making learning fun. Your impact - You will: Architect, design, implement, test and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps Analyze and provide feedback on product strategy and technical feasibility Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Actively communicate with, encourage and motivate all levels of staff. Be a domain expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements Troubleshoot complex production issues and work with support and customers as needed Drives long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Required Skills: 14+ years of experience in building highly scalable Software-as-a-Service applications/ platform Experience building technical architectures that address complex performance issues Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt Deep knowledge of object oriented programming and experience with at least one object oriented programming language, preferably Java Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc) Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium Demonstrated ability to drive long-term design strategies that span multiple complex projects Experience delivering technical reports and presentations to customers and at industry events Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues Experience with the full software lifecycle in highly agile and ambiguous environments Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management and/or client SDKs development Experience with machine learning or cloud technology platforms like AWS sagemaker, terraform, spinnaker, EKS, GKE Experience with AI/ML and Data science, including Predictive and Generative AI Experience with data engineering, data pipelines or distributed systems Experience with continuous integration (CI) and continuous deployment (CD), and service ownership Familiarity with Salesforce APIs and technologies Ability to support/resolve production customer escalations with excellent debugging and problem solving skills BENEFITS & PERKS Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more! World-class enablement and on-demand training with Trailhead.com Exposure to executive thought leaders and regular 1:1 coaching with leadership Volunteer opportunities and participation in our 1:1:1 model for giving back to the community

Tezo is a new generation Digital & AI solutions provider, renowned for delivering exceptional outcomes to customers through cutting-edge analytics, data proficiency, technology, and digital excellence. We are currently looking for a highly experienced and dynamic Practice Head in Data Science & AI to spearhead our data practice in Hyderabad. This role is tailored for a technology leader well-versed in Data Science, Artificial Intelligence (AI), and Machine Learning (ML), with a track record of building and expanding data practices. The ideal candidate should possess strong business acumen, experience in solution selling, and pre-sales expertise. As the Practice Head in Data Science & AI at Tezo, you will have the following key responsibilities: Leadership & Strategy: - Create and execute the strategic vision for the Data Science and AI practice. - Form and lead a high-performing team comprising data scientists, ML engineers, and AI experts. - Collaborate with various teams to embed data-driven solutions within broader business strategies. Technical Expertise: - Oversee the design and implementation of advanced AI/ML solutions across diverse domains. - Stay updated on industry trends, emerging technologies, and best practices in AI, ML, and data science. - Offer technical guidance and hands-on support for key initiatives. Practice Development: - Establish frameworks, methodologies, and best practices to enhance the scalability of the data science practice. - Define and deploy reusable components, accelerators, and IPs to streamline solution delivery. Client Engagement & Pre-Sales: - Assist in business development by collaborating with sales teams to identify opportunities, craft proposals, and deliver presentations. - Engage in solution selling by tailoring AI/ML-based solutions to meet client requirements. - Cultivate strong client relationships and serve as a trusted advisor on their data journey. Required Skills & Experience: - Minimum of 12 years of experience, with at least 5 years in leading data science/AI teams. - Demonstrated expertise in establishing or leading data science or AI practices. - Strong technical background in AI, ML, NLP, predictive analytics, and data engineering. - Proficiency with tools and platforms such as Python, R, TensorFlow, PyTorch, Azure ML, AWS SageMaker, among others. - Sound understanding of data strategy, governance, and architecture. - Proven track record in solutioning and pre-sales engagements. - Excellent communication, leadership, and stakeholder management skills.,

Role & responsibilities Job Description We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modelling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modelling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modelling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Experience: 7+ Years Bachelors or master’s degree in data science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modelling. Expertise in Bayesian modelling and machine learning techniques. Proven experience working with AWS SageMaker for model development, deployment, and monitoring. Familiarity with AWS Certified Data Analytics – Specialty certification is a plus. Strong programming skills in Python (preferred) or R. Experience with cloud platforms (AWS preferred), including SageMaker. Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar) Excellent problem-solving and analytical thinking skills. Ability to work in a fast-paced environment and manage multiple projects. Strong communication skills with the ability to explain complex concepts to non-technical audiences. Preferred Qualifications: Experience with A/B testing, econometrics, or other statistical experimentation methods. Familiarity with other cloud computing platforms (e.g., Azure, GCP). Experience working in cross-functional teams and client-facing roles. Additional Information Opportunity to work with cutting-edge technology in a dynamic environment. Exposure to a diverse range of industries and projects. Collaborative and inclusive work culture with opportunities for growth and professional development.

7+ years of professional backend web development experience with Python. Experience of AI and RAG Experience with DevOps & IaC tools such as Terraform, Jenkins etc. Experience with MLOps platorms such as AWS Sagemaker, Kubeflow or MLflow.

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

You will be working with HCL Software, a product development division of HCL Tech, to deliver software solutions that cater to the transformative needs of clients worldwide. The software developed by HCL Software spans across AI, Automation, Data & Analytics, Security, and Cloud domains, receiving accolades for its innovation and quality. Your primary focus will be on the Unica+ Marketing Platform, a product that empowers clients to execute precise and high-performance marketing campaigns across various channels such as social media, AdTech platforms, mobile applications, and websites. This platform, driven by data and AI, enables clients to create hyper-personalized offers and messages for customer acquisition, product awareness, and retention. As a Senior & Lead Python Developer specializing in Data Science and AI/ML, you are expected to leverage your 8+ years of experience in the field to deliver AI-driven marketing campaigns effectively. Your responsibilities will include Python programming, statistical analysis and modeling, data cleaning and preprocessing, SQL and database management, exploratory data analysis, machine learning algorithms, deep learning frameworks, model evaluation and optimization, and deployment of machine learning models. To excel in this role, you must possess a minimum of 8-12 years of Python development experience, with at least 4 years dedicated to data science and machine learning. Additionally, familiarity with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce, and AWS SageMaker will be advantageous. Proficiency in integration tools and frameworks such as Postman, Swagger, and API Gateways is desired, along with expertise in REST, JSON, XML, and SOAP. A degree in Computer Science or IT is a prerequisite for this position. Excellent communication and interpersonal skills are essential, as you will be collaborating within an agile team environment. Your ability to work effectively with others and apply agile methodologies will be crucial for success. The role may require approximately 30% travel, and the preferred location is Pune, India. If you meet the qualifications and possess the necessary skills, we invite you to consider joining our dynamic team at HCL Software to contribute to cutting-edge software solutions and drive innovation in the field of data science and AI/ML.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

As an Agentic Thinker and visionary Generative AI Subject Matter Expert (SME) at UBS in Hyderabad, you will lead the design, development, and deployment of cutting-edge generative AI solutions to solve complex business challenges. UBS emphasizes innovation and agility to enhance responsiveness, adaptability, and overall innovation in the workplace. In this role, you will leverage large language models (LLMs), diffusion models, and other generative architectures to drive innovation and act as a technical authority for generative AI. Your responsibilities will include architecting, training, and fine-tuning generative AI models for various applications such as content generation, conversational AI, code automation, and data synthesis. Additionally, you will lead research and development initiatives to enhance model performance, efficiency, and alignment with business objectives. You will collaborate with product, engineering, and business teams to integrate generative AI into workflows and translate business requirements into technical specifications for generative AI use cases. Moreover, you will optimize generative models for latency, cost, and scalability, deploy models on cloud platforms and edge devices, and implement safeguards to mitigate risks such as bias and misinformation while ensuring compliance with data privacy regulations and ethical AI guidelines. As part of the Mainframe & Midrange Stream team in India, you will work on Mainframe and Midrange Gen AI Journey, aligning with UBS AI elements and the Emerging Technology and Modernization Team. Your expertise should include a master's or PhD in Computer Science, Machine Learning, or a related field, along with at least 5 years of experience in AI/ML development with a focus on generative AI. You should have a proven track record of deploying generative AI solutions in production environments, deep expertise in generative architectures such as GPT and Transformers, proficiency in Python, PyTorch/TensorFlow, and cloud platforms, as well as experience with NLP tools and vector databases. Preferred skills include knowledge of multimodal AI, reinforcement learning, and familiarity with AI ethics frameworks. UBS, as the world's largest and truly global wealth manager, operates through four business divisions and has a presence in over 50 countries. If you are passionate about driving innovation, solving complex business challenges with generative AI, and being part of a diverse and inclusive culture that values collaboration and empowerment, UBS is the place for you. Join us to grow, learn, and make a difference in a supportive and inclusive environment.,