6 Ml Tools Jobs

You will collaborate with model users, Data Architecture and Technology, and Finance Automation & Execution (FAE) to enhance the end-to-end loss forecasting process across various products (Home Lending, Business Banking, Auto). As a Credit Forecast Transformation Associate, you will lead the forecast transformation project, enabling the Credit Loss Forecasting team to deliver robust and flawless end-to-end forecast execution. Your responsibilities will include streamlining processes, creating comprehensive datasets, automating non-model forecasts, defining requirements for reporting processes, managing automation projects, facilitating training among peers, ensuring firmwide controls and governance, and fostering continuous improvement. You should possess strong problem-solving and interpersonal skills, prior experience in finance or risk management analytics, proficiency in data aggregation and analytical tools, familiarity with cloud offerings, knowledge of Agile/Productivity tools, and proficiency in MS Office. You will be expected to present findings and recommendations to senior management and stakeholders for various consumer products.,

As a member of our team at PRAAVI, you will be responsible for creating video content and documentation using ML tools. You will collaborate with subject matter experts to develop engaging content and ensure its quality. Additionally, you will be in charge of managing daily posts on social media platforms. A key aspect of your role will involve working on CRM tasks such as data entry, conducting customer research, and crafting personalized pitches using Canva for potential clients. Your dedication and contribution will directly impact our efforts to integrate banking and accounting processes with machine learning-driven automations. At PRAAVI, we operate on a unique schedule where there are no working Saturdays or Sundays. You will have the freedom when there is no work, but dedication is expected when tasks arise. We are a startup seeking individuals who are eager for personal and professional growth, and who are enthusiastic about learning in a dynamic environment. Join us at PRAAVI, where we empower SME business owners with innovative software that streamlines their operations through advanced automation techniques, eliminating the need for manual intervention.,

The company is dedicated to changing the world through digital experiences, providing individuals and businesses with the tools to design and deliver exceptional digital content. They are passionate about enabling people to create beautiful images, videos, and apps while transforming customer interactions on various devices. As a highly skilled Software Development Engineer, you will join the ambitious Acrobat Android Engineering team in Noida. This role offers the opportunity to develop top-tier platforms that enhance engineering efficiency and facilitate data-driven decision-making. Leveraging backend, frontend, and data engineering expertise, you will design systems to boost efficiency and offer valuable insights to teams. Your responsibilities will include creating innovative dashboards, alerting systems, reporting tools, and predictive analytics that consolidate data from multiple sources. You will progressively evolve the platform into an intelligent decision-support system, integrating advanced analytics and GenAI capabilities. Join a collaborative environment where your contributions can shape the company's success trajectory. Key Responsibilities: - Design and construct browser-based platforms for monitoring engineering efficiency, product delivery health, quality metrics, and objectives and key results. - Set up automated alert mechanisms and anomaly detection systems to identify early risk indicators. - Develop executive and team-level reporting tools to streamline manual reporting processes. - Establish and maintain robust data pipelines by integrating sources like GitHub, Jenkins, Firebase, Play Store, internal metrics, and Jira. - Implement predictive analytics to predict feature success based on historical and real-time data. - Collaborate with engineering, product, and leadership teams to align platform capabilities with business requirements. - Enhance tools with emerging GenAI and ML capabilities, such as automated summarization, trend detection, and conversational insights. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience. - 5+ years of professional experience in full stack development. - Proficiency in backend development (preferably Python/Django) and modern frontend frameworks (Bootstrap/React or similar). - Strong skills in API/backend development, UI creation, data pipelines, and performance monitoring. - Experience in integrating multiple data sources (e.g., Databricks, Hadoop, etc.) into unified platforms. - Solid grasp of developer workflows, CI/CD, and software quality metrics. Preferred Qualifications: - Proficiency in tools like Docker, Jenkins, GitHub automation, Firebase. - Familiarity with ML tools and frameworks (e.g., scikit-learn, Prophet, LLM APIs). - Background in predictive analytics, trend forecasting, or user sentiment analysis. - Experience in developing alerting and monitoring systems for engineering or product metrics. - Strong product focus with the ability to translate business needs into technical solutions. Adobe is committed to making Adobe.com accessible to all users. If you require accommodation due to a disability or special need during the application process, please contact accommodations@adobe.com or call (408) 536-3015.,

SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio consists of rapidly growing AI companies catering to over 2,000+ major global customers, generating almost $800 million in annual revenue, and employing a global workforce of over 4,000 individuals. We invest in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. Our latest investment, JazzX AI, is a pioneering technology company focused on shaping the future of work through an AGI platform designed for the enterprise. JazzX AI is not just creating another AI tool; it is reimagining business processes to enable seamless collaboration between humans and intelligent systems. This transformation leads to a significant increase in productivity, efficiency, and decision velocity, empowering enterprises to become industry leaders and set new standards for innovation and excellence. **Client Technical Solutions Architect (AI Solutions Deployment)** **Role Overview:** The Client Technical Solutions Architect is a strategic, client-facing role responsible for deploying and customizing advanced AI solutions on top of our company's AI platform. In this hands-on position, you will collaborate closely with clients to understand their business challenges and translate them into effective technical solutions. You will also work internally with product and engineering teams to ensure the AI platform is configured and extended to provide maximum value for each client. The ideal candidate possesses strong technical aptitude and excellent stakeholder management skills to ensure the smooth delivery of complex AI solutions aligned with client objectives across various industries. **Responsibilities:** - **Deploy and Customize AI Solutions:** Implement and tailor our platform's AI capabilities to address clients" specific business problems, both on-site at client locations and through remote collaboration. - **Client Engagement and Requirements Gathering:** Work directly with client stakeholders to comprehend their requirements, pain points, and goals. Translate business needs into technical solutions and actionable project plans to ensure alignment between client expectations and delivered functionality. - **Solution Design and Implementation:** Design end-to-end workflows and AI solution architectures that integrate with clients" existing systems. Develop and test custom modules, data pipelines, and prompts on our platform to meet use-case requirements. - **Internal Collaboration:** Partner with internal product managers and engineering teams to enhance platform features and capabilities. Provide feedback from field deployments to influence product roadmaps and enhance our AI platform's effectiveness for all clients. - **Project Management and Delivery:** Oversee the deployment lifecycle from proof-of-concept to production rollout at client sites. Ensure timely delivery of solutions meeting quality standards while proactively managing technical issues or risks. - **Stakeholder Management:** Manage relationships with client technical teams and business leaders. Communicate progress, present solution demos, and adjust plans based on stakeholder feedback. Act as a trusted technical advisor aligning the AI solution with clients" strategic objectives and demonstrating value. - **Training and Knowledge Transfer:** When necessary, provide hands-on training and guidance to client teams on using and maintaining the AI solutions. Document configurations and best practices to enable clients to become self-sufficient with the deployed technology. **Requirements:** - **Education and Experience:** Bachelor's degree in Computer Science, Engineering, or related field. 7+ years of experience in software engineering, data engineering, or a similar technical role involving building or deploying software solutions. - **AI Expertise:** Practical experience with AI/ML technologies, particularly Natural Language Processing. Familiarity with prompt engineering techniques and working with large language models or conversational AI systems is highly desirable. - **Technical Proficiency:** Strong programming and scripting skills (e.g., Python, Java) to customize solutions and integrate systems. Experience with APIs, data pipelines, and cloud platforms or ML frameworks for deploying AI solutions. - **Solution Architecture Skills:** Ability to design scalable, secure, and maintainable system architectures and workflows. Experience integrating AI solutions into existing enterprise environments (data sources, databases, APIs, etc.). - **Problem-Solving:** Proven ability to troubleshoot technical issues and optimize AI models or pipelines. Creative mindset to adapt and tailor solutions to unique client scenarios, focusing on delivering business value. - **Communication and Stakeholder Management:** Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders. Experience gathering requirements and maintaining client relationships in a professional services or customer-facing capacity. - **Team Collaboration:** Comfortable working in cross-functional teams and fast-paced environments. Able to coordinate between client personnel and internal teams, balancing priorities and ensuring alignment on solution delivery.,

Required Skills: Core Machine Learning: Strong understanding of supervised, unsupervised, and reinforcement learning concepts with real-world applications. Key ML Techniques: Hands-on experience with regression, classification, decision trees, ensemble methods (e.g., Random Forests, XGBoost), and support vector machines (SVMs). Data Analysis & Clustering: Practical knowledge of dimensionality reduction (e.g., PCA) and clustering algorithms (e.g., K-Means, DBSCAN). AWS Machine Learning Stack: Proficiency in using Amazon SageMaker and other AWS tools for building, deploying, and managing machine learning workflows. Advanced Concepts: Familiarity with deep learning models, reinforcement learning strategies (e.g., Q-Learning, MDP), and model optimization techniques (e.g., hyperparameter tuning, Optuna). ML Tools: Comfortable working with tools such as scikit-learn, TensorFlow/Keras, pandas, and related Python libraries. ML Ethics & Fairness: Understanding of fairness, transparency, security, and privacy in machine learning applications. Experience Required: Minimum 2 years of industry experience in Machine Learning. Interested candidates please share your resume at careers@kiet.edu

You are a highly skilled Technical Data Analyst, and you will be joining our growing team. Your role will involve utilizing your strong technical foundation in Oracle PL/SQL and Python, along with expertise in data analysis tools and techniques. As a strategic thinker, you will lead and mentor a team of data analysts, driving data-driven insights and contributing to key business decisions. Additionally, you will be responsible for researching and evaluating emerging AI tools and techniques for potential application in data analysis projects. Your responsibilities will include designing, developing, and maintaining complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes. You will also utilize Python scripting for data analysis, automation, and reporting. Performing in-depth data analysis to identify trends, patterns, and anomalies will be crucial in providing actionable insights to improve business performance. Collaboration with cross-functional teams to understand business requirements and translating them into technical specifications is essential. Furthermore, you will develop and maintain data quality standards to ensure data integrity across various systems. Leveraging data analysis and visualization tools like Tableau, Power BI, and Qlik Sense to create interactive dashboards and reports for business stakeholders will also be part of your role. Staying up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements, will be necessary. Researching and evaluating emerging AI/ML tools and techniques for potential application in data analysis projects will also be one of your responsibilities. Preferred Qualifications for this role include hands-on work experience as a Technical Data Analyst (not a business analyst) with Oracle PL/SQL and Python programming to interpret analytical tasks and analyze large datasets. Proficiency in Python scripting for data analysis and automation, expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense, and an awareness and understanding of AI/ML tools and techniques in data analytics are highly desirable. Practical experience applying AI/ML techniques in data analysis projects is a plus. Strong analytical, problem-solving, communication, and interpersonal skills are required, along with experience in the financial services industry. Your education should include a Bachelor's degree/University degree or equivalent experience. It is important to note that this job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. This role falls under Data Analytics, and a minimum of 2 years of experience as a Technical Data Analyst (not a business analyst) with hands-on PL/SQL experience to interpret analytical tasks and analyze large datasets is necessary. Hands-on Oracle/SQL experience to develop performance-optimized SQL scripts to fetch/analyze data from an Oracle Database and an excellent understanding of business operations and analytics tools for effective data analysis are also required. You will coordinate and contribute to the objectives of data science initiatives and overall business by leveraging an in-depth understanding of how areas collectively integrate within the sub-function. Conducting strategic data analysis, identifying insights and implications, making strategic recommendations, and developing data displays that clearly communicate complex analysis will be part of your role. Delivering analytics initiatives to address business problems, identifying required data, assessing time & effort required, and establishing a project plan are essential tasks. Experience in the financial sector is considered an advantage. This is a full-time position in the Technology job family group, specifically in Applications Development. Your most relevant skills should match the requirements listed above, and for complementary skills, you can refer to the job description or contact the recruiter for further information.,