523 Predictive Analytics Jobs - Page 3

As a Supply Chain Consultant, you will play a vital role in connecting client business stakeholders with technical delivery teams. Your main responsibilities will include comprehending complex business challenges related to demand forecasting, inventory optimization, supply planning, master planning, logistics, and translating them into actionable product roadmaps and detailed functional requirements. Your expertise will be instrumental in establishing resilient, efficient, and forward-looking supply chains for our clients, ultimately driving significant business value and return on investment. With over 8 years of progressive experience in supply chain consulting, business analysis, or product ownership roles, you will have a strong focus on demand and supply planning, forecasting, and replenishment. You should possess hands-on experience or a solid conceptual understanding of Integrated Business Planning (IBP) and Sales & Operations Planning (S&OP) processes, along with their technical enablers on various platforms. It is essential to have experience in the retail and consumer packaged goods (CPG) industry, demonstrating a deep functional understanding of core demand and supply planning processes. Moreover, you must have proven hands-on experience with at least one major supply chain planning software package such as o9, SAP Integrated Business Planning (IBP), Blue Yonder (formerly JDA) Planning solutions, or Kinaxis Rapid Response. Your familiarity with configuration, functional design, and implementation of these tools will be critical. Proficiency in tools like Jira, Confluence, and Agile methodology is required. Your communication and interpersonal skills will be crucial, as you will need to effectively communicate complex technical concepts to non-technical stakeholders and vice versa. Strong negotiation, conflict resolution, and influencing skills are essential for successful collaboration with cross-functional teams. Additionally, experience or understanding of how AI/ML, predictive analytics, and advanced statistical modeling enhance forecasting accuracy and optimize inventory will be beneficial. Your role will also involve driving the product roadmap, identifying, capturing, and tracking requirements with cross-functional business subject matter experts and stakeholders. You should excel in interfacing with multiple teams, identifying roadblocks, resolving dependencies, and ensuring flawless execution. Awareness or experience with sustainable supply chain practices and their integration into planning processes will be advantageous. In terms of skills required, you should have at least 3 years of experience as a Product Owner for Fortune 500 clients and 5 years of experience as a Product Analyst for similar clients. Proficiency in Agile Scrum practices and a good understanding of all agile ceremonies are necessary. A minimum of 5 years of working knowledge in supply chain, strong problem-solving and analytical skills, experience in a global delivery environment, and excellent client interfacing skills are also expected.,

The role requires you to lead the design and development of Global Supply Chain Analytics applications and provide support for applications from other domains using supply chain data. You will be responsible for hands-on management of applications in Supply Chain Analytics and wider Operations domain. As a senior specialist in Supply Chain Data & Analytics, you will drive the deliverables for important digital initiatives contributing towards strategic priorities. Your role will involve leading multiple projects and digital products, collaborating with team members both internally and externally, and interacting with global Business and IT stakeholders to ensure successful solution delivery with standard designs in line with industry best practices. Your responsibilities will include designing and managing the development of modular, reusable, elegantly designed, and maintainable software solutions that support the Supply Chain organization and other Cross Functional strategic initiatives. You will participate in fit-gap workshops with business stakeholders, provide effort estimates and solutions proposals, and develop and maintain code repositories while responding rapidly to bug reports or security vulnerability issues. Collaboration with colleagues across various departments such as Security, Compliance, Engineering, Project Management, and Product Management will be essential. You will also drive data enablement and build digital products, delivering solutions aligned with business prioritizations and in coordination with technology architects. Contributing towards AI/ML initiatives, data quality improvement, business process simplification, and other strategic pillars will be part of your role. Ensuring that delivered solutions adhere to architectural and development standards, best practices, and meet requirements as recommended in the architecture handbook will be crucial. You will also be responsible for aligning designed solutions with Data and Analytics strategy standards and roadmap, as well as providing status reporting to product owners and IT management. To be successful in this role, you should have a minimum of 8 years of data & analytics experience in a professional environment, with expertise in building applications across platforms. Additionally, you should have experience in delivery management, customer-facing IT roles, Machine Learning, SAP BW on HANA and/or S/4 HANA, and cloud platforms. Strong data engineering fundamentals in data management, data analysis, and back-end system design are required, along with hands-on exposure in Data & Analytics solutions, including predictive and prescriptive analytics. Key skills for this role include collecting and interpreting requirements, understanding Supply Chain business processes and KPIs, domain expertise in Pharma industry and/or Healthcare, excellent communication and problem-solving skills, knowledge in Machine Learning and analytical tools, familiarity with Agile and Waterfall delivery concepts, proficiency in using various tools such as Jira, Confluence, GitHub, and SAP Solution Manager, and hands-on experience in technologies like AWS Services, Python, Power BI, SAP Analytics, and more. Additionally, the ability to learn new technologies and functional topics quickly is essential. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities it serves. If you are passionate about making a difference in the lives of others and are ready to collaborate, support, and inspire breakthroughs, this role offers an opportunity to create a brighter future together.,

Job Title Senior Data Scientist I Job Description About Dotdash Meredith: Dotdash Meredith is the largest digital and print publisher in America. From mobile to magazines, nearly 200 million people trust us to help them make decisions, take action, and find inspiration. Dotdash Merediths over 40 iconic brands include PEOPLE, Better Homes & Gardens, Verywell, FOOD & WINE, The Spruce, Allrecipes, Byrdie, REAL SIMPLE, Investopedia, and Southern Living. Dotdash Meredith is based in New York City and is an operating business of IAC (NASDAQ: IAC) (www.dotdashmeredith.com). Meredith India Services Pvt. Ltd. (a Dotdash Meredith Company): Meredith India Services Pvt. Ltd. is a subsidiary of Dotdash Meredith (USA), the parent company of over 40 iconic brands like PEOPLE, Better Homes & Gardens, Verywell, FOOD & WINE, The Spruce, Allrecipes, Byrdie, REAL SIMPLE, Investopedia, Southern Living and many more. We provide offshore support to Dotdash Meredith within Research & Analytics, Technology, Finance, Operations, Consumer Marketing & Revenue, and Shared Services domains. Operating out of Bengaluru, Dotdash Meredith India employs a diverse and vibrant workforce with an engaging workspace. We are energetic, strong & dynamic and form a solid foundation that celebrates our work culture. We re looking for bright, engaged, creative and fun people to join our inspiring team. Our Core Values: Champion Accountability Respect Expect Integrity Act Now, Not Later Make it Matter Job Summary: Collaborate with the business team to understand problems, objectives, and desired outcomes. Build ML/Statistical solutions to achieve the outcomes. Work closely with various teams in Bangalore and the US. Primary responsibilities : Work with cross-functional teams to assess data science use cases & solutions Lead and execute end-to-end data science projects Collaborate with stakeholders to ensure alignment of data solutions with business goals Build custom data models with an initial focus on content classification Utilize advanced machine learning techniques to improve model accuracy and performance. Build necessary visualizations to interpret data models by business teams Work closely with the engineering team to integrate models into production systems. Monitor model performance in production and make improvements as necessary. Stay up-to-date with the latest developments in machine learning and AI. Review relevant research literature and apply applicable methodologies or insights to address the problem effectively. Mentor junior data scientists Mandatory Skills: Master s degree (or equivalent experience) in Data Science, Mathematics, Statistics, or related field with 3+ years of experience in ML/Data Science/Predictive-Analytics Strong programming skills in Python and experience with standard data science tools and libraries (Pandas, NumPy, Scipy, NLTK, Spark, Docker, TensorFlow, PyTorch, sci-kit-learn, etc.). Experience or understanding of deploying machine learning models in production on at least one cloud platform (GCP, AWS, etc.). Hands-on experience with LLMs API (OpenAI, Hugging Face) and ability to craft effective prompts to guide LLMs towards desired outputs. A creative knack for solving hard problems in statistics, machine learning, and optimization. Strong interpersonal and communication skills and adept at working with multiple stakeholders Writing clear and concise technical reports Good to Have: Experience in the Media domain Familiarity with vector databases like Milvus E-commerce or taxonomy classification experience What will you learn in this job: Building ML models using industry-standard frameworks Solving Data Science problems for the media industry Use of Gen AI in Media Shift Timings : 1 p.m. to 10 p.m. IST Work Location : Eco World, Bengaluru It is the policy of Dotdash Meredith to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. #INDIA#

The Role: As an AI/ML Engineer at SolGuruz, you will be instrumental in leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to revolutionize software with AI/ML capabilities. Your work will directly contribute to enhancing the user experience and setting new standards in AI-driven products. Requirements / Responsibilities: Design and implement AI/ML models and solutions Develop a deep understanding of generative AI models and techniques, such as Text-to-Speech, Speech to Text, Speech to Speech, Text to Image and Image to Text. Build and evaluate AI models for various applications, such as content creation, and design automation, Cloud Vision AI, and Natural Language AI. Write and maintain high-quality Python code that is efficient, scalable, and well-documented Collaborate with other engineers, researchers, and product managers to define requirements, brainstorm solutions, and iterate on designs. Contribute to the development of internal tools and infrastructure for AI/ML development and research. Stay up-to-date on the latest advancements in AI/ML research and development. Understanding of AI Chatbots and document search. Understanding of MLOps. Understanding of supervised learning, unsupervised learning, Video analytics, Image analytics, NLP, and so on. Understanding of exploratory data analysis, descriptive analytics, prescriptive analytics, predictive analytics, and so on. What we are looking for: Knowledge of Large Language Models like Open AI, Stable Diffusion, and Generative AI models/services by AWS, Azure, and Google. Hands-on experience with popular machine learning libraries such as TensorFlow, PyTorch, etc. Experience with AI/ML development using Python Advanced scripting experience in Python. Knowledge and expertise in databases, particularly vector databases. Strong experience in one of the cloud platforms. Experience in implementing MLOps practices for machine learning models using Azure ML/AWS Sagemaker. Why SolGuruz?: Be part of a culture that values innovation and forward-thinking. Opportunities for professional growth and advancement. No bond, no contract 5 days a week Flexible timings to maintain work-life balance No bossism culture - collaborate and thrive with us. High-config laptop to enhance productivity. Engagement activities

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

vConstruct , a Pune based Construction Technology company seeks a Senior Data Scientist for their Data Science and Analytics team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct.If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Location: Pune: Magarpatta or Baner Key Responsibilities: Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions. Analyze construction project data and develop predictive models using traditional data science methods and Generative AI. Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment. Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring. Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg. Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly. Stay current with advancements in data science and machine learning to help leveraging Companys data. Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools. Qualification: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 5-8 years of professional experience with atleast 3 years of experience in data science, machine learning, and analytics, with a proven track recordof delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Expertise in programming languages such as Python, R, or Scala. Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong experience in statistical modeling, predictive analytics, clustering, classification, regression & multi-variate techniques. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Strong understanding of SQL and working with relational databases. Good to have knowledge of NLP(Natural Language Processing) and Computer Vision.

Lead data science team to deliver ML/NLP solutions. Build scalable models using Python, ensure data governance, collaborate across teams, and present insights. Requires expertise in ML, NLP, Python, data visualization, and strong leadership.

As a Lead Software Engineer at Coupa, you will play a crucial role in providing application and infrastructure support for customer environments. You will have the opportunity to collaborate with engineers globally to plan and deploy product releases, contributing to the continuous improvement and innovation of our software products. At Coupa, we are committed to leveraging cutting-edge technology to empower our customers with enhanced efficiency and visibility in their spend. Our culture is characterized by collaboration, transparency, and excellence, where teamwork is highly valued. Joining Coupa means becoming part of a global community where your work directly impacts our clients, the business, and each other. Coupa is dedicated to maintaining a welcoming and inclusive work environment, ensuring compliance with all relevant equal opportunity laws and regulations. We uphold fair practices in all aspects of employment, including hiring, compensation, training, and performance evaluation. We offer equal employment opportunities to all qualified candidates and employees, fostering a culture of diversity and respect. Please note that we do not accept inquiries or resumes from recruiters. By submitting your application, you acknowledge that Coupa collects and processes your personal data in accordance with our Privacy Policy. This includes managing ongoing recruitment activities, considering your application for current opportunities, and notifying you about future job openings. For more information on how we handle your data, the purposes of processing, and data retention, please refer to our Privacy Policy.,

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For over 90 years, our innovative drive has kept us a step ahead of our customers" evolving needs. From advocating for safety measures like seat belts and airbags to being a leader in pricing sophistication, telematics, and device and identity protection. This role is responsible for leading the use of data to make decisions. You will develop and execute new machine learning predictive modeling algorithms, code tools using machine learning/predictive modeling for business decisions, integrate new data to improve modeling results, and find solutions to business problems through machine learning/predictive modeling. In addition, you will manage projects of small to medium complexity. We are seeking a Data Scientist to apply machine learning and advanced analytics to solve complex business problems. The ideal candidate will possess technical expertise, business acumen, and a passion for solving high-impact problems. Your responsibilities will include developing machine learning models, integrating new data sources, and delivering solutions that enhance decision-making. You will collaborate with cross-functional teams to translate insights into action, from design to deployment. Key Responsibilities: - Design, build, and validate statistical and machine learning models for key business problems. - Perform data exploration and analysis to uncover insights and improve model performance. - Communicate findings to stakeholders, collaborate with teams to ensure solutions are adopted. - Stay updated on modeling techniques, tools, and technologies, integrating innovative approaches. - Lead data science initiatives from planning to delivery, ensuring measurable business impact. - Provide mentorship to junior team members and lead technical teams as required. Must-Have Skills: - 4 to 8 years of experience in applied data science, delivering business value through machine learning. - Proficiency in Python with experience in libraries like scikit-learn, pandas, NumPy, and TensorFlow or PyTorch. - Strong foundation in statistical analysis, regression modeling, classification techniques, and more. - Hands-on experience with building and deploying machine learning models in cloud environments. - Ability to translate complex business problems into structured data science problems. - Strong communication, stakeholder management, analytical, and problem-solving skills. - Proactive in identifying opportunities for data-driven decision-making. - Experience in Agile or Scrum-based project environments. Preferred Skills: - Experience with Large Language Models (LLMs) and transformer architectures. - Experience with production-grade ML platforms and orchestration tools for scaling models. Primary Skills: Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Project Management. Shift Time: Shift B (India). Recruiter Info: Annapurna Jha, email: ajhat@allstate.com. About Allstate: The Allstate Corporation is a leading insurance provider in the US, with operations in multiple countries, including India. Allstate India is a strategic business services arm focusing on technology, innovation, and operational excellence. Learn more about Allstate India here.,

As an Associate Managing Consultant in Strategy & Transformation at Mastercard's Performance Analytics division, you will be a part of the Advisors & Consulting Services group specializing in translating data into actionable insights. Your role will involve leveraging both Mastercard and customer data to design, implement, and scale analytical solutions for clients. By utilizing qualitative and quantitative analytical techniques and enterprise applications, you will synthesize analyses into clear recommendations and impactful narratives. In this position, you will manage deliverable development and workstreams on projects spanning various industries and problem statements. You will contribute to developing analytics strategies for large clients, leveraging data and technology solutions to unlock client value. Building and maintaining trusted relationships with client managers will be crucial, as you act as a reliable partner in creating predictive models and reviewing analytics end-products for accuracy, quality, and timeliness. Collaboration and teamwork play a significant role in this role, where you will be tasked with developing sound business recommendations, delivering effective client presentations, and leading team and external meetings. Your responsibilities will also include contributing to the firm's intellectual capital, mentoring junior consultants, and fostering effective working relationships with local and global teams. To be successful in this role, you should possess an undergraduate degree with experience in data and analytics, business intelligence, and descriptive, predictive, or prescriptive analytics. You should be adept at analyzing large datasets, synthesizing key findings, and providing recommendations through descriptive analytics and business intelligence. Proficiency in data analytics software such as Python, R, SQL, and SAS, as well as advanced skills in Word, Excel, and PowerPoint, are essential. Effective communication in English and the local office language, eligibility to work in the country of application, and a proactive attitude towards learning and growth are also required. Preferred qualifications for this role include additional experience working with the Hadoop framework, data visualization tools like Tableau and Power BI, and coaching junior delivery consultants. While an MBA or master's degree with a relevant specialization is not mandatory, having relevant industry expertise would be advantageous. At Mastercard, we prioritize information security, and every individual associated with the organization is expected to abide by security policies, maintain the confidentiality and integrity of accessed information, report any security violations or breaches, and complete required security trainings to ensure the protection of Mastercard's assets, information, and networks.,

As an experienced Traffic Data Scientist or Transportation Analyst, you will play a crucial role in our team by transforming raw traffic data into actionable insights. Your expertise in analyzing and modeling traffic patterns, particularly in congestion analytics, junction analysis, and predictive traffic models, will be essential in addressing real-world traffic challenges and shaping the core intelligence of our product. Your key responsibilities will include developing advanced models for congestion analytics to identify and analyze traffic congestion, analyzing complex intersections for traffic flow modeling and bottleneck identification, designing proprietary traffic network models for simulating traffic flow, creating machine learning models for predictive analytics on traffic conditions, and collaborating with the software engineering team to integrate your models for providing actionable insights to our users. To excel in this role, you should have proven experience in traffic analysis and modeling, proficiency in data analysis and programming languages like Python or R, hands-on experience with data science libraries and frameworks such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch, a solid understanding of statistical analysis and machine learning techniques, experience in building predictive models for time-series data, and familiarity with GIS and geospatial data analysis. Additionally, possessing excellent problem-solving skills, the ability to communicate and collaborate effectively in a team environment, and a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Civil Engineering (with a focus on transportation), or a related field will be advantageous for this role. Join us in leveraging your expertise to make a significant impact on traffic challenges and contribute to the overall product roadmap.,

HCLTech is looking to hire a Program Manager for Noida and Chennai locations. As a global technology company with a workforce of over 218,000 individuals in 59 countries, HCLTech specializes in digital, engineering, cloud, and AI services. The company collaborates with clients in various sectors such as Financial Services, Manufacturing, Life Sciences, Healthcare, Technology, Telecom, Retail, CPG, and Public Services, with consolidated revenues reaching $13.7 billion as of September 2024. The AIoT & Industrial AI business unit at HCL Technologies is responsible for leading Industrial AI and (A)IoT initiatives, focusing on product direction, new business models, ecosystem development, and customer engagements in collaboration with other service units. The ideal candidate for the Program Manager position should hold a Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or a related field, with 15 to 20 years of experience. The preferred locations for this role are Noida and Chennai, and candidates with immediate/30 days/60 days notice periods are encouraged to apply. The Program Manager will be tasked with overseeing large-scale AIoT initiatives, encompassing hardware, edge, and cloud deployments. Successful candidates must demonstrate a track record of deploying AI and IoT solutions at scale, particularly in areas like RFID-based Track and Trace, predictive analytics, and real-time monitoring. Close collaboration with hardware engineers, software developers, data scientists, and cloud architects is essential to ensure seamless integration across platforms like Azure, AWS, NVIDIA, and Google Cloud. Effective stakeholder management, program planning, and alignment of technical solutions with business goals are key responsibilities of the Program Manager. Required qualifications for the role include a strong educational background, extensive experience in managing technology programs focused on AI, IoT, and cloud deployments, familiarity with major cloud platforms, and excellent stakeholder engagement skills. Preferred qualifications include experience with Gen AI model deployment, knowledge of Track and Trace, RFID, and sensor-based IoT analytics, as well as an understanding of CI/CD, containerization, orchestration, cybersecurity, and compliance in IoT and cloud environments. Interested candidates meeting the criteria are requested to share their CV with relevant details to paridhnya_dhawankar@hcltech.com. Kindly include information on overall experience, current location, and preferred location in your application.,

As part of the Executive Team, you will be responsible for leveraging AI-driven performance dashboards, predictive analytics, market trend analysis, compliance monitoring, and benchmarking to drive strategic decision-making and enhance overall organizational efficiency. In Sales & Business Development, your focus will be on utilizing a chatbot for client engagement, crafting effective email communications, implementing lead scoring mechanisms, generating client insights for account optimization, developing dynamic pricing models, and utilizing geo-targeting strategies to enhance business growth. Within Recruitment/Talent Acquisition, your role will involve drafting compelling emails, gaining valuable insights from talent pools, automating candidate sourcing processes, leveraging passive candidate insights, utilizing chatbots for candidate engagement, and implementing sophisticated matching algorithms to identify the best talent for the organization. In the Marketing domain, you will be tasked with executing targeted outreach campaigns, optimizing advertising spend, utilizing programmatic job advertising techniques, analyzing behavioral insights to enhance marketing strategies, creating dynamic content, and conducting competitor analysis to stay ahead in the market. Within Information Technology, your responsibilities will include automating workflows, optimizing network infrastructure, monitoring systems for improved performance, enhancing cybersecurity measures, generating code efficiently, and automating service desk operations to ensure smooth IT operations across the organization.,

You are looking for a Lead AI Engineer with at least 8 years of experience to join UST at Trivandrum. As a Lead AI Engineer, you will be responsible for designing and implementing end-to-end AI/ML solutions using Python and deep learning frameworks like Keras. Your role will involve working with Generative AI and LLM architectures such as GPT-3 and BERT, as well as leading AI/ML teams and mentoring junior engineers. Your key responsibilities will include developing data pipelines and infrastructure using tools like Kafka, Big Data tools, Aurora DB, and ELK Stack. You will also be expected to deploy and optimize ML models on cloud platforms such as AWS, Azure, or GCP. Your expertise in Time Series Forecasting, Predictive Analytics, and Deep Learning will be crucial in translating business requirements into scalable AI solutions. In addition to hands-on experience in AI and Machine Learning, you should have a strong programming background in Python, Keras, and Pandas. Knowledge of advanced ML models like LangChain, GPT-3, and Transformers, as well as analytical models such as Time Series Forecasting, will be highly beneficial. Familiarity with databases like ChromaDB/Pinecone is also desired. Experience with PoC creation, model experimentation, and AI governance principles will be an advantage. You should also keep abreast of emerging trends and tools in the AI/ML space to evaluate their strategic fit and contribute to AI roadmap planning. UST is a global digital transformation solutions provider known for partnering with leading companies to drive real impact through innovation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into its clients" organizations, touching billions of lives in the process.,

As an Enterprise Architect & AI Expert, your role will involve defining and maintaining the enterprise architecture framework, standards, and governance. You will align IT strategy with business goals to ensure architectural integrity across systems and platforms. Leading the development of roadmaps for cloud, data, application, and infrastructure architectures will be a key responsibility. It will also be crucial to evaluate and select technologies, platforms, and tools that align with enterprise goals. You will be responsible for designing and implementing AI/ML solutions to solve complex business problems. Leading AI initiatives such as NLP, computer vision, predictive analytics, and generative AI will be part of your duties. Collaborating with data scientists, engineers, and business stakeholders to deploy AI models at scale will be essential. Ensuring ethical AI practices, data governance, and compliance with regulatory standards will also be critical. In terms of leadership and collaboration, you will act as a strategic advisor to senior leadership on technology trends and innovation. Mentoring cross-functional teams, promoting architectural best practices, and facilitating enterprise-wide workshops and architecture review boards will be part of your role. To qualify for this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. You should possess 14+ years of experience in enterprise architecture, with at least 3 years in AI/ML domains. Proven experience with cloud platforms such as AWS, Azure, GCP, microservices, and API management is required. Strong knowledge of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps practices is essential. Familiarity with data architecture, data lakes, and real-time analytics platforms is also expected. Excellent communication, leadership, and stakeholder management skills are necessary for this role. Mandatory skills for this position include experience in designing GenAI and RAG architectures, familiarity with AWS, Vector DB - Milvus (preferred), OpenAI or Claude, LangChain, and LlamaIndex. Thank you for considering this opportunity. Siva,

Role Characteristics: Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes. This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organization. A successful applicant will be passionate about technology and developing a deep understanding of human behavior in the real world. They would also have excellent communication skills, be able to synthesize and present complex information and be a fast learner. You Will: Perform root cause analysis with minimum guidance to figure out reasons for sudden changes/abnormalities in metrics Understand objective/business context of various tasks and seek clarity by collaborating with different stakeholders (like Product, Engineering) Derive insights and putting them together to build a story to solve a given problem Suggest ways for process improvements in terms of script optimization, automating repetitive tasks Create and automate reports and dashboards through Python to track certain metrics basis given requirements Automate reports and dashboards through Python Technical Skills (Must have) B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields 4-6 years of experience in working with data and conducting statistical and/or numerical analysis Ability to write SQL code Scripting/automation using python Hands on experience in data visualisation tool like Looker/Tableau/Quicksight Basic to advance level understanding of statistics Other Skills (Must have) Be willing and able to quickly learn about new businesses, database technologies and analysis techniques Strong oral and written communication Understanding of patterns/trends and draw insights from those Preferred Qualifications (Nice to have) Experience working with large datasets Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) Hands on experience on AWS services like lambda, step functions, Glue, EMR + exposure to pyspark What we offer At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love. Parental leave- Maternity and Paternity Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays) In Office Daily Catered Lunch Fully stocked snacks/beverages Health cover for any hospitalization. Covers both nuclear family and parents Tele-med for free doctor consultation, discounts on health checkups and medicines Wellness/Gym Reimbursement Pet Expense Reimbursement Childcare Expenses and reimbursements Employee assistance program Employee referral program Education reimbursement program Skill development program Cell phone reimbursement (Mobile Subsidy program) Internet reimbursement Birthday treat reimbursement Employee Provident Fund Scheme offering different tax saving options such as VPF and employee and employer contribution up to 12% Basic Creche reimbursement Co-working space reimbursement NPS employer match Meal card for tax benefit Special benefits on salary account We are an equal opportunity employer and value diversity, inclusion and equity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. JD for BI Consultant: A successful candidate needs to be technical, with architect experience, and have demonstrated ability to lead the administration of a complex BI infrastructure, primarily - but not limited to MicroStrategy, Tableau Server, and PowerBI ensuring customer satisfaction, superior performance, security adherence and supportability of the BI platform. Success in this role will require working effectively with a matrix organization within Data Platform and across other departments within XXXX. Examples include business intelligence for large scale data lakes, warehousing, cloud technology like Hadoop and Spark, and predictive analytics. Responsibilities Help application development to articulate/measure/maintain non-functional requirements for BI applications Hands on in install, configure, monitor, and tune BI Systemsprimarily MicroStrategy PowerBI, and Tableau server, in accordance with standard operational procedures and policies. Lead planning and execution of Business Intelligence tools upgrades Ensure performance and efficient capacity utilization by defining and creating BI system performance and utilization metrics Follow and advocate high security standards protecting XXXX data assets Participate in the overall strategy, standardization, analysis, design, and implementation of applications Promote security, innovation, transparency, ownership, respect, and inclusion Qualifications Hands-on administration and software development Experience with Analytics and BI Tools MicroStrategy 10 or similar Business Intelligence products (Tableau Server, Business Objects) Demonstrated experience in BI tools report and dashboard development and design Must be an expert of Linux environments, network communication and authentication (SSO, SAML, Kerberos, and LDAP) protocols Can write code with language in Shell and Python Require Strong SQL coding or NoSQL R Script expertise Understand workings of a production environment with change management, defect tracking and status reporting processes. Have strong problem diagnostic and debugging skills Agile development experience with experience with DevOps and CICD lifecycle Strong communication skills with ability to present complex ideas and document in a clear and concise way

Educational Requirements MCA,MSc,Bachelor of Engineering,BBA,BCom Service Line Data & Analytics Unit Responsibilities Roles & Responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Help team with ML Pipelines from creation to execution Guide team to debug on issues with pipeline failures Understand and take requirements on Operationalization of ML Models from Data Scientist Engage with Business / Stakeholders with status update on progress of development and issue fix Setup Standards related to Coding, Pipelines and Documentation Research on new topics, services and enhancements in Cloud Technologies Additional Responsibilities: EEO/ :Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Technical and Professional Requirements: Preferred Qualifications: Experienced in Agile way of working, manage team effort and track through JIRA High Impact client communication Domain experience in Retail, CPG and Logistics Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIsThe job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. Preferred Skills: Technology-Machine learning-data science

Qualification Masters related to Bioinformatics and Computational Biology Role & responsibilities - Combine and analyze multi-omics datasets to find common biological signals and actionable targets. - Classify disease and immune subtypes from both bulk and single-cell data using supervised and unsupervised machine learning methods. - Organize public datasets, evaluate analytical tools, and standardize workflows for clarity and reuse. - Conduct quality control, normalization, subtype and signature predictions across various sequencing platforms. - Create and maintain complete analysis pipelines for new technologies such as spatial transcriptomics - Search large consortia or databases for comparative studies and hypothesis generation. - Optimize resource use and job scheduling on Linux or HPC clusters; maintain version control and documentation. Preferred candidate profile - Programming & Scripting: R, Python, UNIX shell - Statistics & ML: Feature selection, clustering, predictive modeling, dimensionality reduction, survival analysis - Bulk & Single-Cell Analytics: RNA-seq, WES/WGS, methylation, proteomics, RPPA, scRNA-seq - Workflow & Reproducibility: Workflow managers, such as Nextflow or Snakemake, containers, Git - Data Resources: Major public repositories like TCGA and GEO, and internal cohort data management

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Senior Mgr Qualifications: Any Graduation/Master of Business Administration Years of Experience: 16 to 25 years What would you do Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for 15+ years of experience in marketing analytics, with at least 8+ years in a senior leadership role Proven track record of building and leading high-performing analytics teams Deep understanding of digital marketing ecosystems (paid media, SEO, CRM, email, etc.) and their associated analytics platforms Proficiency/Familiarity in SQL and BI tools (e.g., Tableau, Power BI, Looker), plus experience with Python or R Experience in MarTech across platforms such as Adobe, Google, Salesforce Exceptional communication skills, with the ability to influence executive decision-making Experience in a client-facing or consultancy environment with stakeholder management responsibilities Familiarity with AI/ML-driven marketing analytics solutions Strong business acumen with the ability to link marketing metrics to financial outcomes Consulting or brand Experience in CPG, Retail, Beauty, e-commerce industry Roles and Responsibilities: Lead a portfolio of projects in marketing analytics and manage big team of analytics professionals, fostering a high-performance culture of innovation, accountability, and continuous learning Set the strategic direction for marketing analytics in alignment with overall business and marketing goals Partner closely with senior executives to drive strategic initiatives backed by data & advanced analytics, and industry best practices Be responsible for building a high performing team, upskilling and growth of marketing analytics practice. Be responsible for driving transformation through analytics, automation, and Gen AI adoption and generate tangible business impact Serve as the key analytics point of contact for internal leadership and external clients or partners Translate complex analytical outputs into business language to influence strategy and investment decisions Collaborate cross-functionally with Product, Sales, Finance, and Engineering to ensure alignment and execution on shared goals Oversee the design and delivery of campaign performance reports, dashboards, and marketing KPIs Drive the development of advanced attribution models, forecasting tools, and ROI analysis Provide deep customer and market insights to inform segmentation, targeting, and personalization strategies Ensure data governance, integrity, and compliance with privacy regulations (e.g., GDPR, CCPA) Qualification Any Graduation,Master of Business Administration

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Senior Mgr Qualifications: Any Graduation/Master of Business Administration Years of Experience: 16 to 25 years What would you do Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for 15+ years of experience in marketing analytics, with at least 8+ years in a senior leadership role Proven track record of building and leading high-performing analytics teams Deep understanding of digital marketing ecosystems (paid media, SEO, CRM, email, etc.) and their associated analytics platforms Proficiency/Familiarity in SQL and BI tools (e.g., Tableau, Power BI, Looker), plus experience with Python or R Experience in MarTech across platforms such as Adobe, Google, Salesforce Exceptional communication skills, with the ability to influence executive decision-making Experience in a client-facing or consultancy environment with stakeholder management responsibilities Familiarity with AI/ML-driven marketing analytics solutions Strong business acumen with the ability to link marketing metrics to financial outcomes Consulting or brand Experience in CPG, Retail, Beauty, e-commerce industry Roles and Responsibilities: Lead a portfolio of projects in marketing analytics and manage big team of analytics professionals, fostering a high-performance culture of innovation, accountability, and continuous learning Set the strategic direction for marketing analytics in alignment with overall business and marketing goals Partner closely with senior executives to drive strategic initiatives backed by data & advanced analytics, and industry best practices Be responsible for building a high performing team, upskilling and growth of marketing analytics practice. Be responsible for driving transformation through analytics, automation, and Gen AI adoption and generate tangible business impact Serve as the key analytics point of contact for internal leadership and external clients or partners Translate complex analytical outputs into business language to influence strategy and investment decisions Collaborate cross-functionally with Product, Sales, Finance, and Engineering to ensure alignment and execution on shared goals Oversee the design and delivery of campaign performance reports, dashboards, and marketing KPIs Drive the development of advanced attribution models, forecasting tools, and ROI analysis Provide deep customer and market insights to inform segmentation, targeting, and personalization strategies Ensure data governance, integrity, and compliance with privacy regulations (e.g., GDPR, CCPA) Qualification Any Graduation,Master of Business Administration

As the Global Head of Quality Assurance at State Street Alpha and Charles River Development Platform, you will be responsible for leading the strategic direction and operational excellence of QA. Your role will involve ensuring consistent quality standards, optimizing for regional market requirements, and ensuring regulatory compliance. You will need to combine deep technical expertise in modern QA methodologies with strong leadership skills and a keen understanding of global financial markets and regulatory landscapes. This is an opportunity for you to influence the evolution of the platform while fostering innovation and collaboration across global QA teams. Reporting directly to the Chief Technology Officer, your contributions will be critical to the organization's success. Your responsibilities will include: 1. **Strategic Leadership:** - Architecting and implementing a comprehensive QA strategy aligned with global expansion and platform sophistication. - Driving the modernization of the QA technology stack with a focus on test automation, performance testing, and continuous testing integration. - Establishing Centers of Excellence (CoE) across regions to standardize methodologies and accommodate regional trading requirements. - Developing risk-based testing strategies for critical trading functionalities to balance speed, quality, and compliance. 2. **Technical Innovation:** - Leading the adoption of next-generation testing frameworks such as AI-driven testing, predictive analytics, and real-time monitoring. - Implementing advanced performance testing strategies for high-frequency trading scenarios and mission-critical systems. - Developing robust test data management and synthetic data generation capabilities to support comprehensive and efficient testing. 3. **Organizational Development:** - Building and mentoring regional QA leadership teams to foster a culture of innovation, accountability, and excellence. - Aligning QA processes with regional regulatory requirements and global compliance frameworks within the enterprise software development lifecycle (eSDLC). - Establishing cross-regional collaboration frameworks and knowledge-sharing platforms to enhance operational efficiency. 4. **Quality Metrics & Governance:** - Defining and tracking global quality metrics for consistency and visibility across regions. - Creating governance frameworks for test environment management and release quality gates to ensure high-quality releases reach production. - Implementing risk-based and exploratory testing methodologies to identify critical gaps early in the software lifecycle. **Qualifications:** **Technical Expertise:** - Extensive experience in leading QA for large-scale SaaS platforms with high availability and performance requirements. - Proven expertise in modern QA practices including test automation, performance testing, continuous testing, and shift-left testing strategies. - Experience with AI-driven testing frameworks, predictive analytics, and advanced performance monitoring tools. - Strong understanding of test data management techniques, synthetic data generation, and data privacy compliance. - Familiarity with regulatory requirements for financial markets. **Leadership & Organizational Skills:** - Demonstrated ability to build and lead distributed teams across multiple regions. - Strong cross-functional collaboration skills working with engineering, product management, and operations teams. - Experience establishing Centers of Excellence (CoE) for QA and fostering global knowledge sharing and innovation. - Exceptional communication and stakeholder management skills. **Process & Governance:** - Experience implementing governance frameworks for release management, risk-based testing, and quality gates. - Strong understanding of CI/CD pipelines and their integration with QA processes. - Expertise in defining and tracking global quality metrics to measure performance and identify improvement opportunities. **Education & Experience:** - Bachelor's degree in engineering, computer science, or related field; advanced degree preferred. - 10+ years of experience in QA leadership roles, with 5+ years in a global capacity. This role is critical in ensuring that the platform operates at the highest standards of quality and performance. Your leadership will drive innovation, ensure compliance with global regulatory standards, and enable seamless collaboration across regions. Join us at State Street and be a part of a dynamic industry where you can shape the future of QA. (State Street is an equal opportunity and affirmative action employer. Visit StateStreet.com/careers for more information.),

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design and build driver-based planning models in SAC. Develop and configure planning models, data actions, allocations, and forecasting scenarios. Implement version management, data locking, and audit trail mechanisms. Utilize SAC Calendar for workflow and collaboration. Strong experience in SAC story design, Smart Features (Smart Discovery, Smart Insights). Proficiency in data modeling, blending, and cross calculations. Familiarity with BEx queries, BW structures, and broadcasting. Knowledge of predictive analytics and R-visualizations is a plus. We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain a healthy work-life balance. Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programs in the latest technologies such as SAP. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.,

Arctera plays a crucial role in keeping the world's IT systems operational. Trusted by companies big and small, Arctera ensures the smooth functioning of critical infrastructure, protection against cyber threats like ransomware, and compliance adherence. Through innovative products like Insight, InfoScale, and Backup Exec, Arctera leverages data to safeguard privacy, reduce environmental impact, and combat misuse of information. In a world where data generation is at an all-time high, and digital transformation is driving a new wave of data creation, Arctera is at the forefront of harnessing cutting-edge technologies to secure data and protect global infrastructure. By joining the Arctera team, you will be part of a dynamic group dedicated to leveraging the latest advancements to safeguard critical data. Key Responsibilities: Lead the design, architecture, and development of Salesforce solutions focusing on Lead to Opportunity lifecycle management. Develop and implement lead assignment, routing, and scoring models to enhance conversion rates. Build scalable automations using Apex, Lightning Web Components (LWC), Flows, and Process Builder for improved lead nurturing and opportunity creation. Optimize lead conversion processes by enforcing best practices for data integrity, duplicate management, and validation rules. Design and implement robust opportunity management workflows, forecasting, and pipeline tracking. Collaborate with marketing and sales teams to integrate Salesforce with external lead sources, marketing automation platforms, and third-party applications. Develop and maintain custom API integrations to synchronize lead and opportunity data across systems. Define and enforce data governance policies to ensure clean and accurate lead and opportunity records. Implement AI-powered lead qualification and predictive analytics to enhance sales efficiency. Provide technical leadership, mentoring, and code reviews for a team of Salesforce developers. Establish best practices for development, testing, deployment, and DevOps automation using CI/CD pipelines. Conduct system audits, performance tuning, and security assessments to maintain a high-performing Salesforce environment. Work closely with stakeholders, including Sales, Marketing, and Business Operations, to translate business requirements into scalable technical solutions. Stay abreast of the latest Salesforce releases and enhancements, incorporating relevant features to drive innovation. Lead technical workshops, training sessions, and documentation efforts to enhance adoption and system usability. Qualifications & Experience: 9+ years of Salesforce development experience, with a focus on Lead to Opportunity processes for at least 6+ years. Strong proficiency in Salesforce Sales Cloud, encompassing lead management, opportunity lifecycle, and forecasting. Extensive hands-on experience with Apex, LWC, Visualforce, SOQL, and Flows. Deep understanding of the Salesforce security model, sharing rules, and role hierarchy. Experience in integrating Salesforce with marketing automation tools, lead capture forms, and external data sources. Proficiency in API development, middleware solutions, and event-driven architecture. Expertise in Salesforce data modeling, deduplication strategies, and process optimization. Hands-on experience with DevOps, CI/CD, version control, and deployment automation. Strong problem-solving skills, capable of troubleshooting complex technical issues. Excellent communication and stakeholder management skills, with the ability to collaborate across teams. Salesforce certifications such as Sales Cloud Consultant, Platform Developer II, or Application/System Architect are highly preferred. Knowledge of AI-driven lead scoring and predictive analytics is considered a bonus.,