6497 Machine Learning Jobs - Page 50

Role & responsibilities Proven experience in end-to-end AI implementation Strong hands-on expertise in RAG (Retrieval-Augmented Generation) and Natural Language Processing (NLP) Demonstrated ownership of at least 2 AI use cases from design to deployment Experience with vector databases, embeddings, and prompt engineering Ability to work independently and collaborate with cross-functional teams Develop and implement AI solutions leveraging expertise in Analytics and Data Mining across Web, Social, and Big Data platforms. Good understanding and implementation of Generative AI for content generation, creative applications, and problem-solving across various domains. Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products. Utilize Machine Learning techniques for pattern recognition and inference to enhance existing products and develop new strategic initiatives. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Collaborate with cross-functional teams to integrate Natural Language Processing and Computational Linguistics into product development processes. Apply Statistical Modeling and Econometrics to analyze data and derive actionable insights for quantitative marketing strategies and to make predictions based on historical data. Contribute to the design and optimization of Large Scale Distributed Systems and Cloud Computing infrastructure. Enhance user experience through Human-Computer Interaction principles and Information Visualization techniques. Preferred candidate profile Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or a related technical field. Proven experience in building and scaling AI-powered applications , preferably as part of SaaS products . Strong hands-on development skills in any modern programming language (e.g., Python, Java, Node.js, Go, etc.) language is flexible, but product-thinking is a must . Deep understanding of AI/ML concepts , including NLP, deep learning, and predictive analytics – especially from an application integration perspective. Practical experience applying AI to solve real business problems , not just experimentation or research. Sound knowledge of search systems , data modeling , and information retrieval – especially how users interact with large or complex datasets. Familiarity with cloud environments (AWS/GCP/Azure) and microservice-based architectures. Strong experience working with APIs, distributed systems, and cloud-native tools like S3, Redshift, Spark, etc. Bonus: Experience in building intelligent UIs or AI copilots for enterprise or productivity tools. Ability to own features end-to-end and collaborate closely with product managers and designers. Comfortable in fast-paced, cross-functional, startup-like teams. Perks and benefits Five Reasons You Should Join Tario: 1. Cutting-Edge Agentic AI Work: We are leveraging Agentic AI—the next-gen of AI where systems think and act like autonomous agents, not just passive tools 2. Clear Product-Market Fit: It’s tech that’s driving business value : more meetings, shorter sales cycles, higher response rates. Joining now means becoming part of a company with early traction and growth momentum . 3. High-Impact Roles & Ownership: As a growing company, Tario likely offers greater autonomy , faster decision-making , and the chance to wear multiple hats. 4. Solving a Universal Problem: Outbound sales are hard—most emails go unopened, and SDRs are overwhelmed. Tario's AI solves that pain with precision personalization at scale. 5. Strong Learning Curve: You will be exposed to the State-of-the-art AI/ML workflows, sales tech ecosystem (CRM integrations, outreach automation, engagement tracking), fast-paced product iteration and startup-style growth.

Job Description Associate Specialist/Analyst - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who you are: You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities: Understand the business requirements and support the manager to translate those to analytical problem statements. Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding. Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task. Collaborate with cross-functional teams to design and implement solutions that meet business requirements. Present the findings to US DS stakeholders in a clear and concise manner and address feedback. Adopt a continuous learning mindset, both technical and functional. Develop deep expertise in therapeutic area, with clear focus on commercial aspects. Minimum Qualifications: Bachelor’s degree with at least 0-3 years industry experience (experience requirement can be waived off for exceptional candidates) Strong Python/R, SQL, Excel skills Strong foundations of statistics and machine learning Preferred Qualifications: Advanced degree in STEM (MS, MBA, PhD) 1-3 years’ experience in healthcare analytics and consulting Familiarity with Physician and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.) Experience in HCP & Patient Level Data analytics (e.g., HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills: Job Posting End Date: 06/16/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R335736

About The Team: The Information Technology team at Rubrik influences business processes, employee experience, and technologies to scale our organization to $1B+. This team creates operational efficiency across the company by centralizing the management of Infrastructure, Technology, and Data. The IT team ensures all stages of the software development lifecycle in a secured environment and scrutinizes the deployment of proper processes along with governance. They champion Rubrik on Rubrik and are the first customers of the Engineering teams at Rubrik. Rubrik Corp IT is constructed of 100% SaaS and 0% on-premises. The IT team caters to accelerated enhancement of business value and multiple day-to-day business processes through our varied SaaS applications like Salesforce.com, Oracle Netsuite, Workday, Snowflake, Etrade, jitterbit, Allocadia, etc. This team also delivers high-paced business outcomes with 100% system uptime backed by agile, nimble, simple, but cohesive Cloud architectures. What you’ll do: This position will report to the Director of Global IT and will have a direct impact on the productivity and security of Rubrik employees worldwide. The candidate must have a strong analytical and problem solving acumen. Proactive vs. reactive thinking and an ability to innovate and drive impact will aid in the success of this role. Endpoint Provisioning and Configuration: Configure and provision global Rubrik endpoints, including computers, mobile devices. Ensure endpoints are set up in accordance with company standards and user needs. Security and Compliance: Implement and enforce security protocols and policies for endpoint devices to safeguard corporate data and infrastructure. Stay up-to-date with endpoint security trends and technologies, proactively addressing potential vulnerabilities. Endpoint Monitoring and Troubleshooting: Collaborate with the IT Service Desk Team to provide technical support to end-users for endpoint-related problems, ensuring a quick resolution. Endpoint Application Management: Manage software applications on various endpoints, including deployment, updates, and licensing. Evaluate and recommend new software applications to improve productivity and efficiency. Asset Management and Documentation: Collaborate with the Support Team to maintain an accurate inventory of all endpoints, documenting hardware and software details. Create and maintain documentation (SOPs) related to endpoint management procedures and policies. Change Mgmt & Endpoint Policies: Deep understanding of CAB processes and drive patching and updates, metrics and monitoring. Develop and enforce endpoint usage policies to ensure compliance and security. Performance Optimization: Analyze endpoint performance data regularly to optimize configurations and enhance user experience. Vendor and Technology Evaluation: Evaluate endpoint vendors and emerging technologies to make informed recommendations for company procurement and upgrades. Stay on top of the latest OS technologies and Hardware. Manage stress testing and evaluations for Rubrik endpoint standards. Experience you’ll need : Minimum of 3-5 years of experience in Global Endpoint Management, specifically in managing Apple Mac OS & Windows PC. In-depth knowledge of Windows/Android, Apple ecosystem of products, including Macs, iPhones, and iPads Advanced knowledge of Windows, Mac and iOS operating systems and Intermediate knowledge in scripting languages Solid understanding of end user device management technologies ( i.e. Jamf, InTune, VMware Workspace One, Apple Business Manager) Strong knowledge of endpoint security best practices and compliance standards. Solid knowledge of automated provisioning of end user devices Preferred qualifications: Jamf experience and certifications preferred, Workspace One, and InTune MDM Tools Experience in global endpoint management, preferably in tech industry Bash and Python scripting a plus Excellent troubleshooting skills and the ability to resolve endpoint-related issues. Excellent verbal and written communication skills that can work closely with both technical and management teams across the organization Excellent customer service skills and the ability to be a self starter Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world’s data. With Zero Trust Data Security™, we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked. Inclusion @ Rubrik At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data. Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential. Our inclusion strategy focuses on three core areas of our business and culture: Our Company: We are committed to building a merit-based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here. Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries. Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities. Equal Opportunity Employer/Veterans/Disabled Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please contact us at [email protected] if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

What You'll Do As Senior Business Process Specialist, you will be a part of Finance Shared Services. You will lead the reporting of the entire function, work with the Director to set up performance metrics for entire shared services. Compliance on Service level agreements tracking/updating/reporting and publishing of performance metrics. You will set up Quality review methodology of 8-10 Streams in Finance Shared Services. You will track and publish quality performance for all teams, create Standard Operating Procedures with regular updates. This will be Individual Contributor role. Reporting to the Director, Finance Shared Services based in Pune. You need to work from office. What Your Responsibilities Will Be MIS Goal calculations for all Streams and report Service level agreement adherence Improvise the reporting and track if all deliverables are worked on Compliance Audit on Service level agreements reported and updated for all Streams in BAPS Validation of Volumes, Turn Around Time and Autonomy Publish multiple dashboard Work on Automations and identify/develop the process simplifications tools for Teams and Managers. Maintain Schedule of the daily routine, Prepare MIS and other reports. Quality Ensure evaluation and reporting on quality system. Do regular calibration sessions with counter parts. Be involved in escalation resolutions, share Root Cause Analysis and deploy Corrective and Preventive action on issues reported. Identify process gaps and develop controls. Conduct regular Audits and Checks on the team and Quality Assurance. Manage the monitoring, measurement, and review of internal processes, especially those that affect the quality of our products. Report to top management on the performance of the QMS (e.g., results of quality audits, corrective actions), including the need for improvement. Conduct regular feedback session with defaulters and guide refresher session with the help of SPOCs. Conduct process knowledge test. Conduct quality Learning Sessions and mentor the improvement projects. Design and work on continuous improvement of reporting standards Interaction with Partners/employeesTrack Governance and support Management in all process improvements programs Manage automation programs and deploy continuous improvement culture to work on Value Deliveries What You'll Need to be Successful 5 to 7 years' experience in MIS and Quality Profile, overall 15+ years experience in third-party organization or shared services Lean Six Sigma certified. Work in cross-functional teams with solution finding approach Maintain high quality in all deliverables and according to the operating principles Added advantage Advanced Excel (can perform complex functions) , VBA, RPA, ML, AI

Proficiency with linear programming is a must. Candidate should have used Refinery planning tools such as Honeywell RPMS, Aspen PIMS, Haverly GRTMPS, Spiral. Experience on working in simulation tools such as Aspen Hysys, Aspen Petroleum Scheduler (APS), MBO, Dock Scheduling, Plant Scheduler (PS-EO), Haverly H-Sched, Spiral Schedule, Honeywell Production Scheduler, and KBC Petrosim would be added advantage. Experience using Advanced Excel/VBA/SQL. Excellent understanding of the entire refinery process. Candidate should have worked in Refinery and Petrochemical companies (in Production Planning, Scheduling, Technical Services division) and /or delivered Planning solution to Oil and Gas clients in consulting assignments. Candidate should have knowledge of refinery / petrochemicals plant configurations, their economics, blending operations, yield accounting, crude blending, product distribution, crude arrival sequencing. Candidate should be familiar with typical Planning & scheduling business processes, functional requirements, Fit-Gap analysis, vendor selection process, integration of Planning with other applications and data visualization. Develop and automate processes by using machine learning. Candidate will be in leading role to thoroughly understand client requirements and expedite functional and technical design for the overall planning & scheduling solution; lead team of experienced and novice to deliver solutions meeting client expectations. Candidate must be well versed with Feedstock ranking (Indifference), Rolling Plans, Back-casting, configuration selection and plant debottlenecking studies, update of multi-period, multi-plant linear programming models. Responsible for end to end implementation at customer sites Includes design of network architecture to implement Scheduling system, Understanding customer requirements Responsible for end to end implementation at customer sites Includes design of network architecture to implement Planning system, Understanding customer requirements.

Job Title: AI Engineer – GenAI & Azure (Python + ML) Location: Bangalore Hybrid Experience: 7+ years to 15 Years Employment Type: Full-Time Design, develop, and deploy AI/ML solutions with a focus on Generative AI applications. Required Candidate profile Build and optimize scalable data pipelines and AI services using Python and Azure cloud components. Integrate and operationalize AI models using Azure Functions, Azure Event Grid, and Azure Search.

Proven experience in designing, developing, and implementing machine learning models and algorithms. Strong proficiency in Python programming and its libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and NLTK. Solid understanding of data structures, algorithms, and statistical principles Hands-on experience in Natural Language Processing (NLP) is highly desirable. Experience in optimizing and fine-tuning machine learning models to improve performance. Proficiency in GIT/Bit Bucket for version control and collaboration. Ability to write SQL queries and scripts for data handling and manipulation. Excellent analytical and problem-solving skills with attention to detail. Strong communication and collaboration skills with the ability to work effectively in a team environment.

A Roles & Responsibilities: Responsible for designing/building data products, logical data layers, data streams, algorithms and reporting systems (i.e. dashboards, front ends). Secure correct designed solution, performance and scalability Considering appropriate cost control. Link data product design with DevOps and Infrastructure. Act as a reference within and outside DEA team. Be a technical partner to Data Engineer(s) regarding digital product implementation. Responsible for developing visualizations for complex data sets. Provide guidance to internal DEA associates, IT and business users on data solutions available and related guidelines/standards. Familiarity with neuro-linguistic programming (NLP) and other advanced techniques to simplify interfaces. Work across data analytics projects to provide support in data analytics methodology, processes and standards. Create/Deliver user training. Responsible for user acceptance testing (in collaboration with business/demand owners). Work closely with internal team members, on/off-shore contractors and strategic business unit (SBU) IT/business associates to develop guiding principles/best practices for determining solution architecture that will be needed for a particular information requirement. Develop an in-depth understanding of DEA data for communication and support of business/SBU support. Work with the SBU counterparts to develop/manage roles and processes for on-going user support and solution architecture administration. Participate/Assist in conducting user group meetings Skills Required: Proven success interfacing with the business community and identifying business requirements Minimum 5+ years of experience in developing advanced data pipelines in Python & SQL. Strong experience of configuring and deploying AWS infrastructure using Terraform, etc. Strong experience of developing DevOps pipelines using GitHub / GitHub Actions. Prior experience of working with Snowflake and/or other Data Warehouses. Some exposure to AI/ML based applications is good to have. Excellent analytical and problem-solving skill Expertise in data warehouse concepts, methodology and technology Excellent interpersonal/communication skills - Ability to work in a dynamic team environment and be comfortable/credible interacting with both technical/business organizations and executive management The highest-level of personal ethics - Ability to keep sensitive information confidential - Unquestionable integrity and character Knowledgeable in current and possible future policies, practices, trends, technologies and information Understands and works with the organization's mission, operations, structure and goals Working knowledge of Goodyear operational systems (e.g. SAP/R3) - Desired

CDM Smith is seeking a Data Scientist to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in data science capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company. Key Responsibilities: Conduct rigorous exploratory data analysis (EDA) and apply statistical methods to uncover trends, relationships, patterns and identify data-driven insights. Assist in developing and deploying predictive, prescriptive, and advanced analytics models using statistical, optimization, and machine learning techniques to solve complex AEC business problems. Translate complex data science solutions into actionable business insights through effective communication and visualization. Collaborate with Data Engineers, AI/ML Engineers, and domain experts to frame problems and deliver actionable solutions. Ensure adherence to ethical standards in AI/ML and data science, maintaining transparency and accountability in all activities. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Perform other duties as required. Skills and Abilities: Basic experience with statistical modeling, hypothesis testing, machine learning and advanced inferential and analytics techniques. Basic experience with programming languages (ex: R, Python, Scala, etc.). SQL skills for querying and managing structured and unstructured data. Knowledge of data visualization tools and methods to present complex findings effectively to diverse audiences. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications Bachelor’s degree. 0 – 2 years of related experience. Equivalent additional directly related experience will be considered in lieu of a degree. Amount of Travel Required 0% Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit COR Group COR Assignment Category Fulltime-Regular Employment Type Regular

What makes us Qlik ? A Gartner® Magic Quadrant™ Leader for 15 years in a row, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. The Principal Solution Architect Role Are you ready to take the lead in shaping the future of data and analytics? As a Principal Solution Architect, you’ll be the go-to technical expert, guiding some of the largest customers and partners in the India region. You’ll be at the forefront of demonstrating how cutting-edge data integration and analytics solutions can drive real business transformation. Collaborating closely with a dynamic Presales team in a flexible, agile environment, you’ll have the opportunity to showcase your expertise while working with Sales, Marketing, R&D, Product, Consulting, and Customer Success teams. If you're looking for a role that is engaging, fast-paced, and full of opportunities to make an impact, this is it. What makes this role interesting? Engage with high-profile customers and partners : Lead technical discussions and showcase innovative solutions to help organizations unlock the true power of their data. Drive business success with cutting-edge technology : Leverage Qlik’s next-generation data analytics and data integration platform to solve complex business challenges. Be at the forefront of industry trends : Stay ahead of the game by keeping up with the latest advancements in data analytics, as well as the competitive landscape. Collaborate with cross-functional teams : Work closely with internal teams and experts across Sales, Marketing, R&D, and Customer Success to build compelling solutions that resonate with customers. Flexibility and agility : Thrive in an environment that values adaptability, innovation, and dynamic thinking. Here’s how you’ll be making an impact: Own the technical sales cycle : Become a trusted advisor by guiding customers through technical evaluations, ensuring a seamless journey from exploration to adoption. Showcase innovation through tailored solutions : Deliver compelling presentations and custom demonstrations that address real customer needs and business challenges. Prove value through successful Proof-of-Concepts : Help customers experience the true power of Qlik’s platform by leading impactful proof-of-concept engagements. Support business development efforts : Play a key role in driving regional revenue growth by supporting strategic sales initiatives and expanding Qlik’s presence in the market. Position solutions for long-term success : Communicate effectively with stakeholders at all levels, from technical teams to senior leadership, ensuring alignment on the value and impact of Qlik’s solutions. We’re looking for a teammate with: At least 8 years of experience in a presales and/or consulting capacity Strong experience in BI & analytics tools like Qlik Sense etc. Good understanding of SQL & data modeling . Good understanding of Machine Learning tools and its usage such as Python/ R, and other AI/ML and Gen AI technologies Familiarity with cloud platforms and services Good to have Knowledge of Data Integration (ETL), Data Quality (DQ), Data Governance, iPaaS (APIs, micro services, Application Integration) will be plus Excellent communication skills to the business as well as technical audience Highly driven with strong interpersonal skills Track record of developing relationships at technical, commercial, and executive levels throughout large enterprises Ability to work independently and manage multiple complex opportunities. Travel Requirements: Willingness and ability to travel approximately 25% Ability to travel internationally, if required Th e l ocation for this role is : India – Delhi If you're passionate about helping businesses harness the full potential of their data and want to be part of a team that values expertise, innovation, and collaboration, this is your opportunity to make a real difference. Apply today! More about Qlik and who we are : Find out more about life at Qlik on social: Instagram, LinkedIn, YouTube, and X/Twitter, and to see all other opportunities to join us and our values, check out our Careers Page. What else do we offer? Genuine career progression pathways and mentoring programs Culture of innovation, technology, collaboration, and openness Flexible, diverse, and international work environment Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our Corporate Responsibility Employee Programs If you need assistance applying for a role due to a disability, please submit your request via email to accessibilityta @ qlik.com . Any information you provide will be treated according to Qlik’s Recruitment Privacy Notice . Qlik may only respond to emails related to accommodation requests. Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means. #L1-APAC

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.

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Masters degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc. ; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc. ; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Ford/GDIA Mission and Scope: Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You would be part of FCSD analytics team. As a Data Scientist on the team, you will collaborate within the team and work with business partners to understand business problems and explore data from various sources in GCP-Data Factory, wrangle them to develop solutions using AI/ML algorithms to provide actionable insights that deliver key results to Ford. The potential candidate should have hands-on experience in building statistical/machine learning models adhering to the best practices of development and deployment in cloud environment. This role requires a solid problem-solving skill, business acumen, and passion for leveraging data science/AI skills to drive business results. Qualifications: At least 2 years of relevant work experience in solving business problems using data science Bachelors/master s degree in quantitative domain, Statistics, Computer science, Mathematics, Engineering with MBA from a premier institute (BE, MS, MBA, BSc/MSc -Computer science/Statistics) or any other equivalent 2+ years of experience with SQL, Python delivering analytical solutions in production environment. At least 1 year of experience working in Cloud environment (GCP or AWS or Azure) 2+ years of experience in conducting statistical data analysis (EDA, forecasting, clustering, etc. , ) and machine learning techniques (Classification/Regression, NLP) Technical Skills: Proficient in BigQuery/SQL, Python Advanced SQL knowledge to handle large data, optimize queries. Working knowledge in GCP environment (Big Query, Vertex AI) to develop and deploy machine Learning models Nice to have: Exposure to Gen AI/LLM Functional Skills: Understanding and formulating business problem statements Convert Business Problem statement into data science problems. Self-motivated with excellent verbal and written skills Highly credible in organizational, time management and decision making. Excellent Problem-Solving and Interpersonal skills Job Responsibilities Build an in-depth understanding of the business domain and data sources. Extract, Analyse data from database/data warehouse to gain insights, discover trends and patterns with clear objectives in mind. Design and implement scalable analytical solutions in Google cloud environment. Work closely with Product Owner, Product Manager, Software engineers and Data engineers to build products in agile environment. Operationalize AI/ML/LLM models by integrating with upstream and downstream business processes. Communicate results to business teams through effective presentations. Work with business partners through problem formulation, data management, solutions development, operationalization, and solutions management Identify opportunities to build analytical solutions driving business value, leveraging various data sources.

Join us as a Data Scientist at Barclays, where youll take part in the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of the Service Operations team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. Youll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders. To be successful as a Data Scientist you should have experience with: Essential Skills Solid understanding of machine learning concepts and model deployment. Prior experience in a data science role, indicating a strong foundation in the field. Advanced coding proficiency in Python, with the ability to design, test, and correct complex scripts. Proficiency in SQL, for managing and manipulating data. Working in an Agile manner and leading Agile teams using Jira. Some other highly valued skills include: Excellent modelling skills, as evidenced by an advanced degree or significant experience. Strong quantitative and statistical skills, enabling logical and methodical problem-solving. Good understanding and experience of big data technologies and the underlying approach. Good interpersonal skills for maintaining relationships with multiple business areas, including senior leadership and compliance. Ability to manage laterally and upwards across multiple discipline technical areas. Version control using Bitbucket, Gitlab, etc. Cloud experience (AWS, Azure or GCP) You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the banks data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively. Communicate complex information. Complex information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.

Job Title: MANAGER- CUSTOMER EXPERIENCEBrief about the requirement:We are looking for a strategic and execution-focused leader to drive our Customer Support Experience strategy. This role demands a deep understanding of customer needs, operational excellence, and the ability to lead large teams while leveraging technology and data for continuous improvement. The ideal candidate will have a passion for delivering exceptional customer experiences at scale and a strong track record of leading support in a fast-paced environment."High-Impact Leadership Role:Be at the forefront of shaping and executing the end-to-end customer support experience for a high-growth, customer-obsessed brand.Scale with Ownership:Lead a large, high-performing support organisation with the autonomy to drive innovation, scale operations, and deliver strategic outcomes.Technology-Driven Transformation:Spearhead cutting-edge initiatives in automation, AI, ML, and RPA to revolutionise customer service and set new industry benchmarks.Data-Powered Decision Making:Work in an environment where VOC insights and real-time analytics guide every customer-centric decision.Cross-Functional Influence:Collaborate closely with Product, Tech, Business, and Strategy teams to drive enterprise-wide impact and elevate the overall customer journey.Talent Development & Culture Building:Build and mentor a high-impact team while creating a culture of ownership, continuous learning, and customer obsession.Visibility and Growth:This is a high-visibility role reporting directly to senior leadership, offering a clear path to broader CX or business leadership roles.KRA of Manager Customer Experience:"Customer Experience Strategy:Develop and deploy a comprehensive customer support experience strategy aligned with business objectives.Voice of Customer (VOC):Leverage VOC insights and internal data to identify customer pain points and drive meaningful improvements in service delivery.Team Management:Manage and operate a large team of Customer Support Associates, fostering a high-performance culture.Operational Excellence:Drive continuous improvement through process optimisation, accountability frameworks, and scaling operations via technology.Capacity Planning:Lead short-term and medium-term capacity planning to ensure operational agility and service continuity.Operational Planning:Translate business requirements into executable operational plans and lead their effective implementation.Performance Monitoring:Develop service monitoring frameworks, define KPIs, and implement real-time dashboards to drive execution through metricized operations.Technology Enablement:Enhance operational efficiency through automation and adoption of technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML).Workforce Development:Continuously evaluate and upgrade workforce skills and capabilities to deliver world-class support experiences.Delivery Planning & Execution:Lead the team in creating and executing delivery plans that maximise customer satisfaction and business value.Thought Leadership:Contribute to internal and external CX thought leadership by sharing best practices and insights on customer experience transformation."Please detail requisite experience: 5+ yearsMust have skills: Customer Obsession, People Management, Result Delivery, OwnershipWe are committed to providing equal opportunity in employment and creating an inclusive work environment.Remember, together, we can achieve more!

At least 6 - 8 years overall experience At least 4-5 years experience in Machine Learning / Deep Learning Extensive experience working on NLP Conversant with Python programming Good knowledge of and experience working on Generative AI Adept in Prompt Engineering Should have a good understanding of microservices architecture and Data Engineering Should be able to understand user needs and map with corresponding technologies Should be able to architect Generative AI based solutions Should be able to guide the team technically Should be able to highlight technical limitations and shortcomings well in advance and suggest alternative approaches / solutions Should have working experience on Azure Cognitive Services Experience working on client facing roles and direct client interactions Good communication skills Ai Ml, Nlp & Deep Learning, Data Science

Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their teams hybrid work schedule requirements. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for an experienced Senior Machine Learning Scientist to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for building intelligent, ML-powered systems that drive personalized recommendations and campaign automation within Wayfair s advertising platform. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your ML expertise to define and deliver 0-to-1 capabilities that unlock substantial commercial value and directly enhance advertiser outcomes. What You ll do: Design and build intelligent budget, tROAS, and SKU recommendations, and simulation-driven decisioning that extends beyond the current advertising platform capabilities. Lead the next phase of GenAI-powered creative optimization and automation to drive significant incremental ad revenue and improve supplier outcomes. Raise technical standards across the team by promoting best practices in ML system design and development. Partner cross-functionally with Product, Engineering, and Sales to deliver scalable ML solutions that improve supplier campaign performance. Ensure systems are designed for reuse, extensibility, and long-term impact across multiple advertising workflows. Research and apply best practices in advertising science, GenAI applications in creative personalization, and auction modeling. Keep Wayfair at the forefront of innovation in supplier marketing optimization. Collaborate with Engineering teams (AdTech, ML Platform, Campaign Management) to build and scale the infrastructure needed for automated, intelligent advertising decisioning. We Are a Match Because You Have: Bachelors or Master s degree in Computer Science, Mathematics, Statistics, or related field. 9+ years of experience in building large scale machine learning algorithms. 4+ years of experience working in an architect or technical leadership position. Strong theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, transformers and NLP techniques. Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade products. Strategic thinker with a customer-centric mindset and a desire for creative problem solving, looking to make a big impact in a growing organization. Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis; Excellent written and verbal communication. Ability to partner cross-functionally to own and shape technical roadmaps Intellectual curiosity and a desire to always be learning! Nice to have: Experience with GCP, Airflow, and containerization (Docker). Experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. Familiarity with Generative AI and agentic workflows. Experience in Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning. Your personal data is processed in accordance with our Candidate Privacy Notice ( https: / / www.wayfair.com / careers / privacy ).

Growexx is looking for smart and passionate Data Scientist/Analyst, who will empower Marketing, Product, Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyse hit/event level web, product, sales, and digital marketing data. Leverage LLMs (Large Language Models) and traditional machine learning to mine, process, and analyze web, product, sales, and digital marketing event-level data. Develop and fine-tune LLM-driven solutions for tasks such as text summarization, customer support automation, personalization, and user journey understanding. Build and deploy predictive models and ML algorithms across structured and unstructured customer profile, journey, and usage datasets. Deploy LLM and ML models into production environments for activation across websites, product applications, and sales/marketing channels. Design and implement model activation strategies, including A/B testing plans, benchmarking studies, and measurement of final business impact. Conduct comprehensive evaluation of LLMs, including performance benchmarking (accuracy, latency, token usage, cost), prompt effectiveness testing, fine-tuning impact analysis, and safety/bias assessments. Design, build, and deploy LLM-based agentic systems using frameworks such as LangChain, AutoGen, CrewAI, or custom orchestration for complex workflows (e.g., multi-agent collaboration, function-calling pipelines, dynamic task execution). Integrate LLM agents with APIs, internal knowledge bases, retrieval systems (RAG architectures), and external tools to enable autonomous or semi-autonomous decision-making. Partner with data engineering teams to enhance and maintain the Customer360 data model, including creating new feature engineering requirements, improving taxonomy, and identifying and resolving data quality issues. Collaborate with cross-functional teams (Enterprise Data Warehouse, Salesforce MOPS, IT, Product, Marketing) to continuously improve data integration and quality for advanced modeling use cases. Build a deep understanding of business models, objectives, challenges, and opportunities by working closely with leadership and key stakeholders. Document model methodologies, evaluation frameworks, agent workflows, deployment architectures, and post-activation performance results in a structured and reproducible format. Stay current with advancements in LLMs, agentic AI, retrieval-augmented generation (RAG), and ML technologies to recommend and implement innovative solutions. Key Skills Experience using Python, SciKit, SQL, Snowflake, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficient in data mining, advanced statistical analysis, feature engineering, and mathematical modeling. Deep experience with machine learning techniques including supervised, unsupervised, reinforcement learning, causal inference, and predictive modeling. Skilled across the full ML lifecycle: data preparation, feature creation and selection, model training, hyperparameter tuning, evaluation, and deployment for inference/prediction. Extensive hands-on experience with cookie-level advertising and digital marketing data (Google Ads, Bing, Epsilon, LinkedIn, Facebook) for demand generation KPIs such as ROAS, CTRs, impressions, multi-touch attribution (MTA). Proven experience designing, fine-tuning, evaluating, and deploying Large Language Models (LLMs) and generative AI applications. Experience designing and deploying agentic systems using frameworks such as LangChain, AutoGen, CrewAI, and custom function-calling pipelines. Expertise integrating LLM agents with APIs, knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Strong understanding of evaluation metrics for LLMs, including prompt testing, token optimization, bias/safety analysis, latency, and cost benchmarks. Deep familiarity with cookie-level web and product behavior data (usage metrics, conversion funnels, bounce rates, sessions, hits/events, journey optimization). Expertise in designing and executing A/B, multivariate, and lift tests to measure activated ML/LLM model performance across digital and offline channels. Skilled in gathering business requirements, translating them into ML use cases, and clearly communicating methodologies and results to both technical and non-technical stakeholders. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Preferred: practical experience in an engineering capacity building, testing, deploying, and optimizing ensemble ML and LLM solutions in production environments. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 5 + years as a Data Scientist or similar roles.

We are looking for DS Gen AI Lead with Azure Cloud experience. Location - PAN India Experience - 12+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG, Azure and Open AI Job description Deep understanding of RAG Open AI LLM embedding models Good knowledge of Vector database and how it works Experience in designing solutions Ability to do research for use cases and discuss various approaches with pros and cons Evaluate and recommend appropriate AI technologies and frameworks Lead the development and mentor development team in technical challenges Understanding of Data privacy concerns in GenAI application Excellent communication skills Ability and willingness to work late hrs as needed by business

Job Title: Sr. Software Engineer Job Code: 10144 Country: IN City: Mumbai Skill Category: IT\Technology Description: Job Overview AI/ML IT Analyst who will work with Snowflake data platform to support AI/ML initiatives, data analytics, and IT operations while helping to develop and implement machine learning solutions. Key Responsibilities Build and maintain data pipelines using Snowflake Assist in developing ML models using Snowflakes ML capabilities Write and optimize SQL queries for data extraction and transformation Support data warehousing operations in Snowflake Help integrate AI/ML solutions with Snowflake infrastructure Perform data quality checks and maintenance Create automated reporting solutions Assist in data migration projects Technical Requirements Core Skills Bachelors degree in Computer Science, Data Science, IT, or related field Strong SQL knowledge Python programming skills Understanding of data warehousing concepts Basic machine learning knowledge SnowflakeSpecific Skills Experience with Snowflakes core features: Data loading and unloading Time travel and data cloning Warehouse management Access control and security Familiarity with Snowpark for Python Understanding of Snowflakes ML capabilities Experience with Snowflake integrations Tools & Technologies Snowflake Data Cloud Python libraries (pandas, numpy, scikitlearn) BI tools (SAP BO, Power BI) ETL/ELT tools Version control (Git) Machine learning frameworks Data modeling tools Preferred Qualifications Snowflake SnowPro Core certification Experience with: Snowflake Streams and Tasks External tables Stored procedures UDFs (UserDefined Functions) Knowledge of cloud platforms (AWS, Azure, GCP) Understanding of data governance principles Soft Skills Strong analytical mindset Problemsolving abilities Team collaboration Clear communication Documentation skills Learning agility We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age. *Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates.

We are seeking a highly skilled AI Data Scientist to join our growing data science team. The ideal candidate will possess strong analytical capabilities, machine learning expertise, and practical experience deploying AI solutions. You will work on cutting-edge projects involving deep learning, NLP, and predictive analytics to solve complex business challenges.

Job Summary What you need to know about the role This role leads the design, development, and implementation of highly scalable and advanced Generative AI solutions that can be leveraged across the organization. You will collaborate closely with the Architect, Product Managers, and development teams to deliver top-quality products with high security through innovative AI/ML solutions. Meet our team You ll be part of a team committed to solving challenges to deliver exceptional results. You will get an opportunity to work with latest AI technologies and frameworks that can make a wider impact. We encourage innovation and creative problem-solving approaches to deliver. If you are a passionate engineer who likes to get on to the ground with the roll-up-the-sleeves attitude, this would be your right place Job Description Your way to impact We are seeking a highly skilled Machine Learning Engineering Lead with expertise in building scalable AI enterprise solutions and a solid understanding of Generative AI and Prompt Engineering techniques. In this role, you will take ownership of architecting, designing, and leading development teams to deliver advanced Generative AI solutions that focus on technology improvements and intelligent systems, such as Technology Assistants, AI Agents, fine-tuned models with domain expertise. You will play a pivotal role in shaping the AI solutions architecture while collaborating with multidisciplinary teams. Your day to day Lead the development and delivery of Generative AI solutions. Keep the team ahead with research and implementation innovative AI solutions that can make an organization-wide impact. Collaborate with cross-functional teams to ensure deliveries are done on with high-quality and great standards. What do you need to bring A Bachelors, Masters, or Ph.D. degree in Computer Science, Computer Engineering, or a related field. A minimum of 10 years of professional experience, including 5+ years of experience with ML frameworks, model training and deployment. Minimum 2 years of hands-on experience with Generative AI technologies, large language models (LLMs), prompt engineering techniques, and vector databases (e.g., Pinecone, Weaviate, Milvus, or similar). Strong proficiency with Python, and cloud infrastructure (e.g., AWS, Azure, GCP) is a must. Experience in architecting and building enterprise-scale systems, such as Knowledge Graphs or distributed AI platforms. Experience in fine-tuning LLM models to inject domain expertise and enhance ethical standards. Excellent communication skills to interface with both technical and non-technical stakeholders, enabling clear articulation of project requirements and outcomes.

We are looking for a passionate AI Engineer with 4\u20135 years of hands-on experience in developing and deploying AI/ML models. You will contribute to designing scalable AI systems, training models, and supporting real-world deployment for autonomous vehicles and other AI-centric applications. If youre enthusiastic about applying your AI skills in impactful projects, join our innovative team. Roles & Responsibilities Build and optimize AI/ML models for real-time autonomous driving systems. Work closely with senior architects and product teams to translate business problems into AI solutions. Implement and test deep learning models (e.g., CNNs, transformers) for

The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazons growth, this role may be well-suited for you. We are seeking a passionate Manager Business Intelligence Engineer, III to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREFs cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Manager Business Intelligence Engineer, III at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Lead a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organizations strategic business objectives Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organizations analytical capabilities Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership Bachelors degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 8+ years of experience as a Business Intelligence Engineer or similar senior-level role Proven expertise in designing and implementing complex, large-scale BI architectures and data models 5+ years experience with leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Deep understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Ability to effectively communicate technical concepts to both technical and non-technical stakeholders Strong problem-solving, critical thinking, and analytical skills Experience leading cross-functional teams and driving the successful delivery of BI initiative Bachelors degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 8+ years of experience as a Business Intelligence Engineer or similar senior-level role Proven expertise in designing and implementing complex, large-scale BI architectures and data models 5+ years experience with leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Deep understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages

The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazons growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer, III to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREFs cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer, III at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Lead a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organizations strategic business objectives Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organizations analytical capabilities Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership Bachelors degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 8+ years of experience as a Business Intelligence Engineer or similar senior-level role Proven expertise in designing and implementing complex, large-scale BI architectures and data models 5+ years experience with leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Deep understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Ability to effectively communicate technical concepts to both technical and non-technical stakeholders Strong problem-solving, critical thinking, and analytical skills Experience leading cross-functional teams and driving the successful delivery of BI initiative Bachelors degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field 8+ years of experience as a Business Intelligence Engineer or similar senior-level role Proven expertise in designing and implementing complex, large-scale BI architectures and data models 5+ years experience with leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) Deep understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages