intelligence applications

Grace Multitrading Company

Education: BE / BTech or Master Degree in Mechanical Engineering/ Electrical Engineering/ Automobile EngineeringWork Experience:Certifications in Machine Learning or Artificial Intelligence is preferred.Work Experience &bull; 3-5 years of experience in machine intelligence, including AI/ML development and deployment.<ul><li>Practical experience of executing projects with DevOps, DevSecOps, Agile/Scrum and / or Kanban methodologies</li></ul><ul><li>Should have used Azure DevOps, Jira or equivalent project management tool. Created and groomed epics/user stories/tasks. Estimated story points and assigned work. Knowledge &amp; skills</li></ul>&#9679; Strong verbal and written technical communication &amp; presentation skills.&#9679; Strong analytical and debugging skills.Prior technical expertise and skills desired:&#9679; Expertise at programming using Python, Java, C/C++ or an equivalent programming language&#9679; Should have architected solutions, coded modules, performed testing and deployments.&#9679; Should be familiar with API development, technologies such as Postman, API Gateway, Azure/Google API&#9679; Knowledge of Unit testing, Automation Testing (Java Selenium or equivalent), VAPT, Pen testing, application security, API security, DevSecOps tools (SAST, SCA, DAST, IAST)&#9679; Knowledge of deployment pipelines required.&#9679; Knowledge of public cloud (AWS, Azure or GCP) with various services including cloud native AI/ML services good to have.&#9679; Prior experience in creating and finetuning AI/ML models - regression, classification, neural networks required. Should have knowledge of Sagemaker, Vertex AI Studio or equivalent.&#9679; Should be familiar with LLMs, OpenAI GPT / Llama / AWS Bedrock / Huggingface opensource LLMs etc.&#9679; Basic working knowledge of CAD / Solidworks good to havePlease share your resume to mary@chosenconsultanthr.com/9790438392.Job Types: Full-time, PermanentPay: &#8377;100,000.00 - &#8377;1,500,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

Artificial Intelligence and Machine Learning

Intuit

<div><h2 class="jobSectionHeader">Overview</h2><div>
We are seeking an AI Scientist to work with our collaborative and creative group of scientists and engineers to design and implement the next generation AI and machine learning systems that will power our omnichannel marketing platform. In this role, you will develop and deploy modern machine learning and AI models directly in our core product to address key customer challenges. We are looking for someone passionate about the full model development lifecycle, eager to collaborate with product managers to shape innovative AI product experiences, and driven to make a significant impact on our customers.</div> 
Responsibilities<ul><li>
Explore, develop, and deploy machine learning models, contributing to the end-to-end ML lifecycle in partnership with machine learning engineers and guided by senior scientists.</li><li>
Apply various machine learning techniques (supervised, unsupervised, reinforcement learning, NLP, GenAI) to improve relevance and personalization algorithms, with an emphasis on understanding and implementing solutions that support broader AI initiatives.</li><li>
Collaborate with product managers, software engineers, and designers in designing experiments and minimum viable products, learning to integrate insights from advanced AI systems.</li><li>
Discover, process, and train on huge data sets.</li><li>
In partnership with product managers and analysts, run regular A/B tests, perform statistical analysis, draw conclusions on the impact of your models, and communicate results to peers and leaders.</li><li>
Research and explore new technology shifts, particularly in generative AI and advanced ML, to understand their potential connection with customer benefits and inform ongoing AI strategy.</li></ul> 
Qualifications<ul><li>
MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.) or equivalent work experience.</li><li>
1+ years of experience in modern AI/ML tools and proficient in Python and typical AI/ML libraries (e.g., TensorFlow, PyTorch, Keras). Familiarity with distributed computing frameworks (e.g., Spark, Ray) is a plus.</li><li>
1+ years of experience in machine learning techniques such as classification, regression, neural networks, large language models, recommender systems, natural language processing, clustering, anomaly detection, and computer vision. Understanding of MLOps principles and practices (e.g., version control, CI/CD for ML models) is a plus.</li><li>
Familiar with the latest trends and applications of generative AI including agentic applications.
</li><li>Efficient in SQL</li><li>
Comfortable in a Linux environment</li><li>
Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences.</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</div>

AI Scientist 2

BlackStone eIT

Responsibilities <ul> <li>Conduct user research to understand the needs, motivations, and behaviors of users in the context of decision intelligence applications.</li> <li>Develop wireframes, prototypes, and high-fidelity designs that effectively communicate design ideas and user flows.</li> <li>Collaborate with product managers and technical teams to define product requirements and design specifications.</li> <li>Create and maintain design guidelines, style guides, and best practices for decision intelligence products.</li> <li>Iterate on designs based on user feedback and usability testing to ensure optimal user experience.</li> <li>Stay updated with industry trends and emerging technologies in decision intelligence and design.</li> <li>Present design concepts and rationale to stakeholders and advocate for user-centered design principles.</li> </ul>

Decision Intelligence Product Designer

Accenture

Project Role : Application Developer 
Project Role Description : Design, build and configure applications to meet business process and application requirements.
 
Must have skills : Microsoft Power Business Intelligence (BI) 
Good to have skills : NA 
Minimum 7.5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that enhance operational efficiency, and ensuring that applications are aligned with business objectives. You will also engage in problem-solving activities, providing support and guidance to your team members while continuously seeking opportunities for improvement and innovation in application development. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure timely delivery of application features. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI). - Strong analytical skills to interpret data and provide actionable insights. - Experience in developing dashboards and reports using Microsoft Power BI. - Familiarity with data modeling and data warehousing concepts. - Ability to work with SQL for data extraction and manipulation. Additional Information: - The candidate should have minimum 7.5 years of experience in Microsoft Power Business Intelligence (BI). - This position is based at our Mumbai office. - A 15 years full time education is required.
 
15 years full time education

Application Developer

Ghobash Group

1. Digital Platforms <ul> <li>Oversee the end-to-end development of in-house applications that support business operations and process optimization. Note: these support applications may integrate with core business technologies/applications.</li> <li>Lead the implementation of digital automation solutions using Robotic Process Automation (RPA) and low-code/no-code platforms.</li> <li>Work closely with business units to identify automation opportunities and translate them into scalable digital solutions.</li> <li>Ensure digital platforms are secure, user-centric, and aligned with enterprise architecture and governance standards.</li> <li>Manage cross-functional development teams and external technology partners to deliver high-impact solutions.</li> </ul> 2. Data &amp; Analytics <ul> <li>Support the development of a unified data strategy, including data governance, architecture, and lifecycle management.</li> <li>Oversee the group s data lake &amp; warehouse ecosystem, ensuring data integrity and seamless integration with data source systems.</li> <li>Drive the adoption of business intelligence tools and self-service analytics across group companies.</li> <li>Collaborate with stakeholders to define KPIs and build dashboards that enable data-driven decision-making.</li> <li>Manage the data science team to ensure data quality, consistency, and accessibility across platforms.</li> <li>Develop a roadmap for the introduction of AI into business intelligence tools</li> </ul> 3. Artificial Intelligence <ul> <li>Develop AI strategies aligned to group/business unit goals, with clear project roadmaps &amp; implementation plans.</li> <li>Identify and lead AI initiatives that enhance operational efficiency, customer experience, and strategic insights.</li> <li>Work with internal teams and external partners to pilot and scale AI solutions (e.g., predictive analytics, agentic AI, etc).</li> <li>Promote responsible AI practices, including model governance and ethical considerations.</li> <li>Stay current with AI trends and assess their relevance to business needs.</li> <li>Drive awareness and education initiatives to increase understanding and adoption of AI solutions across group businesses.</li> </ul>

Senior Manager Digital Platforms, Data and AI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities.
 
 
We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. 
 
Key job responsibilities 
<ul><li>Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
</li><li>Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
</li><li>Utilize Python and SQL to automate and optimize data processing workflows
</li><li>Interpret technical documentation to implement solutions accurately
</li><li>Dive deep into issues and implement solutions independently
</li><li>Identify and report tooling bugs and suggest improvements
</li><li>Make sound judgments and logical decisions when faced with ambiguous or incomplete information
</li></ul> 
About the team 
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li><li>Proven experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Familiarity with critical concepts such as Python, scripting language, data structures etc.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li><li>Experience managing stakeholder relationships across departments.</li><li>Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Agentic AI Teacher , AGI Data Services

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Artificial Intelligence and Machine Learning

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Senior Manager Digital Platforms, Data and AI

Agentic AI Teacher , AGI Data Services