3120 Artificial Intelligence Jobs - Page 23

We, at Cogito, are looking for someone with a zeal and flair to curate knowledge pieces and writings on how Artificial Intelligence, Machine Learning & NLP have taken automation & efficiencies in various industries by storm and how these ever shape-shifting technologies are surprising humans themselves everyday. Cogito Technologies, having a strong presence in USA and its delivery center in Delhi NCR, India, specializes in Human Empowered Automation. Our mission is to help our customers innovate and scale by solving their day-to-day data needs. Using our skilled on-demand workforce, we partner with Machine Learning, Artificial Intelligence, Technology and ecommerce clients to develop high-quality data sets used to build and enhance various cutting-edge business applications. Cogito is currently working on Artificial Intelligence applications in Annotation work and is looking to engage with "Content Manager" to participate in ongoing projects. The Role Being Content manager you will be working closely with a team to read, write, summarize knowledge, and interpret meaning. Think of it like being a language arts teacher or a personal tutor for some of the world's most influential technology. Assist with development of Large Language Models Assist with development of Generative AI applications Evaluate and Grade responses of LLM models Content Summarization Model evaluation Model alignment Efficient inference Classification and categorization Sentiment analysis Multimodal model question-answering systems Skills Set: Fluent to native English writing and reading skills required University to Masters degree 8-15 years of extensive experience working as Content Writer Ability to answer free-form prompts (questions) across a general scope of topics Ability to reference online resources and rephrase and write cohesive, accurate, responsive, and sometimes empathetic answers to the prompts in the perspective of an AI model Proven track record working on other projects requiring free form sentence creation Ability to answer specialized domain free-form prompts at university-level difficulty Ability to provide cohesive explanations to their prompt responses (E.g., explaining the process of solving a given math question, listing out the detailed process for a software question, etc.) Extra Added advantage if you have: Up-to-date knowledge on US culture and news. Knowledge of various NLP tasks and algorithms, such as sentiment analysis, named entity recognition, text classification, machine translation, and language generation. The Person This is a technology job that accommodates humanities people and relies more fully on your competencies than your formal experience making it a rare opportunity that's perfect for new grads, career transitioners, and those seeking an exciting encore career in AI. You're the sort of person who is exceptional at generating copy intuitively. You've also got the metacognitive awareness to "show your work." In addition, you're the sort of person with a deep interest in linguistics. You instinctively document learnings and continuously refine methods. You are a(n): Dedicated Grammarian Natural Writer Diligent Reader Self-Aware Interpreter Synthetic Sense-Maker Perpetual Learner Instinctive Educator Proven experience required Core Content Writing Background with own website/blogs/written piece of articles etc. Work in a cordial and cooperative manner with Marketing, SEO & Operations teams Most importantly, technical bent of mind with keen interest in new technologies and their applications The ability to think and act like a stakeholder is a plus Non-technical Strong sense of responsibility in quality and idea generation Can work well with others and open for giving/taking suggestions Strong written and verbal communication skills Strong motivation to learn and go in-depth into field of study Job requirements Fluent in English to be able to follow instructions and guidelines Detail-oriented with the ability to understand and follow instructions Ability to meet deadlines Responsible, reliable, and communicative Urgent Requirement.. Only F2F interviews Address: (HR Round) C-40, Sector 59, Noida (Red Building Rsystem) Final Interview (Manager+ COO) A-83, sector 2, Noida --- Regards, Team HR Cogito-Noida

Write, edit, and proofread blogs, articles, newsletters, press releases, and web copy. Create multimedia content such as videos, infographics, and interactive assets. Ensure all content adheres to the brand voice, tone, and style guidelines.

We are seeking a skilled Kore.ai Developer with 25 years of experience to design, develop, and deploy intelligent virtual assistants (IVAs) and chatbots using the Kore.ai platform. The ideal candidate will have hands-on experience building conversational flows, integrating APIs, and applying NLP techniques to deliver seamless and effective user interactions. Key Responsibilities: Design and develop conversational bots using the Kore.ai Bot Builder platform. Implement NLP/NLU models , dialog flows, and custom scripting. Integrate bots with third-party services via REST APIs , webhooks, and databases. Create and manage bot tasks, nodes, and dialogs , including event handling and scripting. Perform unit testing, UAT, and deploy bots in development and production environments. Troubleshoot and optimize bots for performance, accuracy, and user experience. Collaborate with product managers, UX designers, and backend developers to gather requirements and deliver robust solutions. Create and maintain technical documentation related to bot development and deployment. Stay updated on the latest Kore.ai features, tools, and best practices. Required Skills: 2–5 years of experience in Conversational AI or bot development . Strong proficiency with the Kore.ai platform (Bot Builder, NLP Console, Dialog Tasks, etc.). Good knowledge of JavaScript , Node.js , or equivalent scripting languages used within the Kore.ai environment. Experience working with APIs , JSON, and data integrations. Familiarity with AI/ML concepts , especially related to intent classification and entity extraction. Experience in cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Understanding of version control systems like Git. Excellent communication and problem-solving skills. Preferred Qualifications: Kore.ai Platform Certification (Developer or Advanced Developer) Exposure to RPA tools , CRM integrations , or voice bots is an added advantage. Experience with Agile methodologies and tools like JIRA or Trello. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.

We are looking for a versatile and independent AI Developer who excels in combining traditional coding with no-code/low-code tools to build intelligent automation workflows and AI-driven systems. This is a high-impact role for someone who enjoys solving complex business challenges through smart integrations, conversational AI, and scalable automation. Key Responsibilities: Architect and implement end-to-end AI-powered automation systems , combining code and no-code workflows. Build and maintain custom integrations with external APIs, automation tools, CRMs, and AI services (OpenAI, TTS/STT engines, etc.). Develop backend logic using Python, Node.js , or similar technologies to support AI workflows and data handling. Create and optimize data pipelines , scraping bots, and voice/text-based AI interfaces. Utilize tools like Make.com, Apify, Airtable, Zapier, Glide , or similar platforms to accelerate delivery. Collaborate with non-technical stakeholders and independently manage development cycles , from requirement gathering to deployment. Ensure performance, scalability, and maintainability of systems across various business use cases. Required Skills: Strong proficiency in Python, JavaScript/Node.js , or relevant backend languages. Deep familiarity with AI/ML concepts , especially around LLMs, natural language processing, and prompt engineering. Hands-on experience with no-code platforms like Make.com, Airtable, Apify, Glide, Zapier , etc. Expertise in integrating third-party APIs , including communication APIs (e.g., Twilio, WhatsApp). Understanding of voice and chat-based AI workflows using tools like OpenAI, Whisper, and ElevenLabs. Ability to handle projects independently with minimal supervision. Nice-to-Have: Experience with CRM integration , sales or outreach automation tools. Knowledge of data scraping, RPA , or chatbot frameworks. Familiarity with serverless deployment , Firebase, or cloud-based automation. Background in B2B tools , SaaS environments, or enterprise automation is a plus. Ideal Candidate Traits: Entrepreneurial mindset with a passion for automation and AI. Self-starter who thrives in fast-paced, outcome-driven environments. Excellent communication and collaboration skills. Strong sense of accountability, quality, and initiative. What We Offer: Opportunity to lead critical automation projects from day one. Freedom to explore creative solutions using the best of code and no-code tools. A growth-oriented environment with long-term potential.

SUMMARY Our client is IT MNC part of one of the major insurance groups based out of Germany and Europe. The Group is represented in around 30 countries worldwide, with Over 40,000 people worldwide, focusing mainly on Europe and Asia. Our client offers a comprehensive range of insurances, pensions, investments and services by focusing on all cutting edge technologies majorly on Could, Digital, Robotics Automation, IoT, Voice Recognition, Big Data science, advanced mobile solutions and much more to accommodate the customers future needs around the globe thru supporting millions of internal and external customers with state of-the-art IT solutions to everyday problems & dedicated to bringing digital innovations to every aspect of the landscape of insurance. Job Location: Hiranandani Gardens, Powai, Mumbai Mode: Work from Office Requirements Key Responsibilities: : Business-Cybersecurity Alignment: o Work closely with business stakeholders, IT security teams, and cross-functional teams to ensure cybersecurity initiatives align with the organization’s broader business goals. o Translate business needs into technical security requirements that can be effectively executed by the security and IT teams. Risk Analysis & Security Assessments: o Conduct risk assessments in the context of hybrid IT environments (cloud, on-premises, and edge) to identify security gaps and vulnerabilities. o Collaborate with security teams to evaluate existing security controls and recommend solutions to mitigate identified risks, balancing business needs with security requirements. Cybersecurity Frameworks & Compliance: o Ensure that all business and technical security requirements comply with relevant regulatory compliance frameworks (e.g., NIST CSF, ISO 27001, GDPR, HIPAA). o Support audits and compliance assessments, identifying any gaps between current practices and regulatory standards. (must have) Security Process Improvement: o Identify opportunities for process improvements within the cybersecurity function, including streamlining security incident response, access management processes, and threat detection workflows. o Develop business cases for proposed security improvements, including cost-benefit analyses and risk assessments. The Business Analyst will have comprehensive responsibilities spanning multiple cybersecurity domains, and should have expertise in at least 5 of the following areas o SIEM Sentinel & Security Operations: Manage and optimize SIEM solutions, particularly Sentinel, for effective monitoring, incident detection, and security event correlation across hybrid environments. Collaborate with security operations teams to ensure proper configuration, tuning, and reporting within SIEM platforms to support proactive threat management. o Security Tools & Technology Integration: Work with security teams to implement and optimize security tools such as SIEM (e.g., Splunk, Microsoft Sentinel), EDR (e.g., CrowdStrike, MS Purview/Defender), SOAR platforms, CASB (Cloud Access Security Broker), and Threat Intelligence systems. Help define and document requirements for the integration of cybersecurity tools into the broader security ecosystem. o User Access Management (UAM) & RBAC: Work closely with identity and access management teams to ensure the implementation of UAM and RBACsystems that align with the organization's security policy and business requirements. Support the development of processes for managing user roles, privileges, and access rights across enterprise systems. o Cloud & Encryption Security: Ensure that security policies and controls are applied across both on-premises and cloud environments(AWS, Azure, Google Cloud), addressing challenges related to cloud security, data encryption, and access management. Collaborate with technical teams to implement strong encryption methods for data - in - transit, data-at-rest, and data-in-use in line with organizational security policies. o AI & ML in Cybersecurity: (Good to have) Contribute to the use of AI/ML technologies to enhance threat detection, anomaly identification, and predictive analytics within the organization’s security operations. Collaborate with data scientists and security teams to define requirements for AI/ML-based security models and incident response automation. o SOAR Integration & Incident Response: Assist with the integration of Security Orchestration, Automation, and Response (SOAR) solutions into the incident response lifecycle to streamline response times and automate repetitive tasks. Support the continuous improvement of incident response procedures and playbooks, ensuring a consistent, rapid, and efficient approach to security incidents. Benefits

We are seeking a Senior Software Engineer with a strong technical background in Python development and expertise in Generative AI to join our team. This role focuses on building cutting-edge solutions leveraging Large Language Models (LLMs) to innovate and deliver impactful web applications at scale. Responsibilities Collaborate with cross-functional teams to design, develop, and deploy web applications powered by Generative AI Optimize LLM-powered applications for performance, scalability, and usability Integrate low-code platforms for rapid prototyping and efficient application delivery Ensure high-quality development standards through code reviews, testing, and debugging Develop and manage prompts for LLMs, enhancing model effectiveness and usability Support large-scale software systems adhering to development best practices Apply knowledge of front-end technologies and frameworks like HTML+CSS, JavaScript, React, and Vue Utilize Git for efficient version control and collaborative development workflows Requirements Proficiency in Python for robust application development Expertise in Generative AI, including prompt engineering techniques and developing/debugging prompts for LLMs Experience with JavaScript, SQL, and Git Background in handling large codebases and employing best practices in software development Understanding of front-end technologies such as HTML+CSS, JavaScript, React, and Vue

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

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

What You'll Do As a Returns Experience Automation Analyst, you will report to Lead/Manager and partner with the tax compliance to deliver process and product automation solutions. You will contribute to Avalara's tax and compliance automation strategies while enhancing the overall experience of the service. What Your Responsibilities Will Be You will have to develop technical skills to use AI and RPA tools. You will engage cross functionally to drive and delivery process automation. You will have to perform data analysis and support special projects You will have to support product setup and customer settings review. You will have to prepare and file indirect tax returns ( You will have to apply jurisdiction knowledge to compliance services You will have to Monitor tech changes from state/local authorities You will lead process/product improvements for efficiency and risk reduction What You'll Need to be Successful Experience with RPA tools like Power Automate and UiPath Quick to learn new software and tools, adapt new tech for tax and compliance tasks Consistently meets deadlines Strong attention to detail with high accountability and ownership Team player with strong cross-functional collaboration skills Willing to work swing shifts (2 pm to 11 pm) Education: Bachelor's in Finance, Accounting, Math, Economics, or Computer Science Master's in Computer Science, Engineering, or related field. Experience: 3+ years in finance, tax, compliance, or automation roles Experience in corporate tax, finance, banking, or DOR (Department of Revenue) Background in implementing financial or tax automation systems Hands-on experience with RPA for process automation

About the Role : We are looking for an experienced and innovative Senior Salesforce & AI Solutions Specialist to join our growing team. This is a critical role that combines deep Salesforce expertise with advanced AI and machine learning capabilities. You will be responsible for designing, developing, and deploying intelligent Salesforce solutions that enhance business performance, improve customer experience, and support data-driven decision-making.As a senior member of the team, you will collaborate closely with cross-functional stakeholdersincluding product owners, business analysts, engineers, and executivesto translate business needs into scalable and intelligent technology solutions. Key Responsibilities : Salesforce Platform Management : - Lead the architecture, configuration, and development of Salesforce platforms including Experience Cloud, Marketing Cloud, and Service Cloud.- Customize Salesforce applications to meet business requirements through Apex, Visualforce, and Lightning Web Components.- Ensure best practices in Salesforce implementation, governance, security, and performance optimization. Agentforce Platform Implementation : - Design and deploy Salesforce Agentforce solutions to streamline agent workflows, analytics, and insights.- Leverage Agentforce Analytics to generate actionable intelligence for customer service and sales teams.- Implement and train stakeholders on Einstein Prediction Builder and Einstein Discovery to power predictive and prescriptive analytics. AI & Machine Learning Integration : - Develop AI-driven features using tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn.- Build and deploy machine learning models for customer segmentation, sentiment analysis, lead scoring, and personalization.- Apply NLP and deep learning techniques to automate and enhance communication channels (e.g., chatbots, sentiment-aware routing). Programming & Development : - Write clean, efficient, and maintainable code using Python, Java, and Apex.- Integrate third-party APIs and services with Salesforce and internal data sources.- Use DevOps tools to automate deployments and ensure version control across environments. Data Analysis & Visualization : - Gather, clean, and analyze large volumes of structured and unstructured data.- Design and implement data models that support reporting, forecasting, and machine learning use cases.- Create interactive dashboards using Salesforce Analytics, Tableau, or Power BI to present insights to stakeholders. Cross-Functional Collaboration : - Act as a technical advisor to internal teams and stakeholders across departments (Sales, Marketing, Customer Service).- Translate complex technical concepts into clear business language for non-technical audiences.- Support change management efforts, training, and documentation for end users. Required Qualifications : Salesforce Experience : - Minimum 6 years of hands-on experience working across various Salesforce platforms (Experience Cloud, Marketing Cloud, Service Cloud).- Deep understanding of Salesforce architecture, integrations, and customization capabilities. Agentforce Experience : - At least 2 years of hands-on experience with Salesforce Agentforce.- Strong knowledge of Agentforce Analytics, Einstein Prediction Builder, and Einstein Discovery. AI & Machine Learning Expertise : - Minimum 2 years of experience in applying AI and ML technologies in a production environment.- Proficiency in machine learning algorithms, NLP, deep learning, and model deployment. Programming Proficiency : - Strong programming background with expertise in Python, Java, and Apex.- Familiarity with cloud-native application development and API integration. Data Analysis & Visualization : - Strong analytical skills with the ability to work with large datasets.- Hands-on experience with tools like Tableau, Power BI, or Salesforce Einstein Analytics. Communication & Collaboration : - Excellent interpersonal and communication skills.- Proven ability to work effectively within cross-functional teams and interact with stakeholders at all levels. Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

Job Title: Senior Python Software Architect Job Type: Full-Time Experience Level: 10-15 Years Industry: Software Development / AI & Cloud Infrastructure Reports To: Director of Engineering / CTO Job Overview We are seeking a highly experienced and visionary Senior Python Software Architect to lead the design and development of scalable, secure, and high-performance backend systems. This role is ideal for someone with deep Python expertise, a strong grasp of modern API frameworks like FASTAPI, and a passion for building GenAI agentic systems. You will play a critical role in shaping the architecture of reusable microservices, guiding engineering best practices, and integrating advanced telemetry and observability into our platforms. Key Responsibilities Architect and develop robust Python-based backend systems using modern design patterns and best practices. Extend and customize FASTAPI internals to meet complex business requirements. Design and implement secure authentication flows using Azure AD, OAuth2, and API security best practices. Containerize applications using Docker and deploy them to Kubernetes-based environments. Integrate and extend GenAI frameworks such as LangChain and LangGraph, including agent creation and telemetry instrumentation. Lead architectural decisions for reusable microservice templates and backend infrastructure. Implement asynchronous programming models using async/await, event-driven patterns, and concurrency control. Collaborate with cross-functional teams to ensure scalable and maintainable system design. Mentor junior developers and contribute to code reviews, design sessions, and technical documentation. Must-Have Qualifications 1015 years of professional experience in Python development. Deep understanding of Python meta-programming (decorators, context managers, dynamic class creation). Expertise in software design patterns (Factory, Adapter, Faade, Iterator, etc.). Advanced knowledge of FASTAPI, including customization and internal extension. Experience with Azure Authentication, OAuth2, and secure API design. Proficiency in Docker and Kubernetes for container orchestration. Hands-on experience with LangChain or LangGraph, including telemetry integration (e.g., OpenTelemetry). Proven leadership in system architecture and reusable service design. Strong background in asynchronous programming and event-driven systems.

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

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

[{"Salary":"5000" , "Remote_Job":false , "Posting_Title":"AI Intern" , "Is_Locked":false , "City":"Nagpur" , "Industry":"Education" , "Job_Description":" About the Role: We are looking for a highly motivated and curious AI Content Development Intern who is passionate about Artificial Intelligence and Data. The intern will be responsible for researching, understanding, and curating high-quality content around the latest developments in AI and emerging technologies. Responsibilities: Research and analyze top YouTube playlists, blogs, papers, and resources related to cutting-edge AI models. Create structured and engaging learning content, including slide decks, notes, scripts, and summaries. Develop simplified explanations for concepts like RAGs, LLMs, LAMA models, Agentic AI, etc. Stay up-to-date with the latest trends and advancements in AI and data. Collaborate with the academics and content team to ensure clarity, correctness, and consistency in content. Contribute to documentation, training resources, and internal knowledge bases. Ensure all content is clear, engaging, and accessible to learners and professionals. Requirements Requirements: Strong interest and self-initiative in the field of AI, ML, and Data. Demonstrated understanding of concepts like Retrieval Augmented Generation (RAG), Large Language Models (LLMs), LLaMA models, Agentic workflows, etc. Self-taught or certified in AI/ML (certifications will be a plus). Excellent written and verbal communication skills. Ability to work independently, explore complex topics, and simplify them into educational content. Basic familiarity with tools like Notion, Google Docs, Canva, or any content formatting software is an advantage. What We\u2019re Looking For: A curious learner who loves diving deep into AI concepts. Someone who thrives in a fast-paced, self-directed learning environment. A team player with a knack for

STARTEK is looking for Apprentice - Operations to join our dynamic team and embark on a rewarding career journey Support daily operations and gain exposure to process workflows Assist with documentation, reporting, and coordination tasks Learn industry standards and company-specific systems Participate in training and mentorship activities

As Manufacturing specialist, your job responsibilities include completing assigned manufacturing tasks, following company policies and work procedures. you will be required to work under the supervision of manufacturing supervisors, with fellow production operators, production leadership, technicians, and engineers to complete manufacturing jobs in an efficient manner to meet the department targets and goals. Ability to read, write, and speak English is required. Responsibilities and Tasks Be involved in Processing Raw Materials into the final Product Accept job assignments and adapt to change. Identify any special customer requests for the assigned job. Obtain required materials and tooling for assigned jobs. Set up equipment whenever there is a product change to run on the equipment. Prioritize and complete all tasks required to process product. Manage time and efficiency to complete assigned job on time. Identify, troubleshoot, and communicate any issues or problems encountered during setup or while processing product. Follow Company and Department Policies and Procedures Identify required company, department, safety, and job-related policies and procedures. Read policies and procedures. Apply policies and procedures to job assignments. Provide or accept feedback as necessary to leads/trainers and supporting personnel (i.e. Planning or Engineering) Complete Certification and Recertification Participate in assigned on-the-job and other required training. Ask questions and request or provide feedback through the training process to increase knowledge and ability. Complete certification requirements by demonstrating understanding and abilities. Track training in the designated training system. Adhere to Company rules and regulations and Promote Safety in the Workplace. Identify and promptly report hazards. Follow safety procedures and area work rules including proper personal protective equipment and chemical safety. Operate and maintain equipment and tools within manufacturers and company guidelines.

Responsibilities and Tasks Your main task will be operating Equipment. Manning of multiple machines Demonstrate ability to use computer based programs and applications to perform daily duties Provide machine coverage during breaks Logging machines accurately Monitoring and awareness of equipment performance discrepancies with timely communication to your Lead Working hours are 12 hours shift with biweekly rotation for day and night. Ensure Quality of Process and Product Run equipment based on current process specifications (e.g. procedures, change notifications, etc.) Organize own workstations and ensuring 6S Make suggestions to improve quality and safety Complete Certification and Recertification Participate actively in assigned on-the-job and other required training; asking questions to increase knowledge and abilities Complete certification requirements by demonstrating understanding and abilities Communication Information Receive and understand pass down, providing clear, accurate, and detailed pass down Seek and provide feedback to leadership, coworker, and support groups to make positive changes in performance Offer suggestions towards improvements when appropriate Always seek clarification when in doubt Contribute to a Safe and Compliant Work Environment Identify and promptly report hazards Follow safety protocols Use accurate lifting techniques and work in an ergonomically manner

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

Travel to State Capitals, Union Territories, and key districts to establish and maintain relationships with government officials, public sector undertakings (PSUs), and other relevant stakeholders. Utilize your technical expertise (30% of the role) to provide insights and guidance on cloud technologies, AI, applications, and databases to relevant government entities. Collaborate with our channel partners and leverage their network and resources to drive business growth for our organization within the government sector. Identify and cultivate individuals with strong connections in government departments to establish productive working relationships and enhance our liaison capabilities. Deliver compelling product pitches to government officials, highlighting the benefits and value our solutions can offer to their specific needs. Develop a deep understanding of tender processes across states, including qualifications-based selection (QCBS), single packet bidding, and other relevant procedures. Analyze government documents and reports, such as project appraisal board (PAB) budgets, state reports, and other relevant materials, to extract useful information and insights. Qualifications: Bachelors degree in a relevant field (e.g., business, political science, computer science) or equivalent practical experience. Proven experience in government relations or a related field, preferably within the technology sector. Experience in Enterprise Sales or a related field, preferably within the technology and/or government sector is preferred. Familiarity with cloud computing, artificial intelligence, applications, and databases, with the ability to effectively communicate technical concepts to non-technical audiences. Excellent interpersonal and communication skills, with the ability to establish and maintain relationships with government officials and other stakeholders. Strong analytical and research abilities, including the capability to analyze government documents and reports. Knowledge of tender processes and procurement procedures within the government sector. Willingness to travel frequently to state capitals, union territories, and key districts as required. Ability to work independently and as part of a team, demonstrating self-motivation and initiative.

SUMMARY At Wadhwani AI, we use the power of modern artificial intelligence to help solve some of the most challenging problems in the world. We are looking for a candidate to join our team in a full-time role, who can represent Wadhwani AI in various states as our resident expert and program manager in the field of Education. ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows Cultures page of Wadhwani AI - https: / / www.wadhwaniai.org / culture / ROLES AND RESPONSIBILITIES: Bring in the advanced level of domain expertise, engagement and field experience for technicalities, pedagogy, governance for early and primary education field experience etc. Participate in and contribute to project planning, coordination, implementation, monitoring and reporting. Implement project activities to ensure the delivery of objectives in a timely and quality fashion. Liaise with key stakeholders including project staff, external partners, Directorate of Primary and Secondary Education, State Council for Education Research and Training and other relevant government education functionaries at field, district and state levels. Serve as the liaison between the various departments of Directorate of Primary and Secondary Education, State Council for Education Research and Training, other key departments, staff and partners in selected geographies. Assist core product, deployment and other X-functional teams in identifying critical issues, mitigation strategies, and potential impact across various deployments. Work with staff from selected geographies to document activities, success stories, and other materials to share achievements. Lead the on-field implementation. AI-based research and solution deployment in the geographies of interest through field experiments, pilots and scale-ups. Coordinate with and provide support to the internal team of AI researchers, data scientists, engineers etc for acquiring data as needed, liaising with government stakeholders, and conducting field research and field experimentations. Conduct supervision and monitoring of project activities to ensure cadence and delivery as per project work plans, timelines, resource allocations, and deliverable schedules through regular contact and coordination with relevant personnel. Perform any other duties as assigned by the supervisor from time to time. IDEAL BACKGROUND: An expert-level understanding of ground realities in the ECCE and primary education ecosystem, its priorities, and relevant national and state-specific policies, enabling awareness of the current status and implementation challenges, along with the competence to manage field-level challenges in the deployment of AI solutions. Thorough understanding of the technicalities of frameworks like the NEP, CCE, standardized assessments like NAS (National Achievement Survey) and CBA (Competency Based Assessments) 5+ years of experience working with state education departments in supporting implementing various programs and interventions (either via non-profit organisations, multilateral organisations or non-profit organisations) is a must. Demonstrated ability for engagement and advocacy with a variety of stakeholders and managing large-scale operations effectively. Experience as a teacher/educator will be a plus. A graduate or post-graduate degree specializing in Education will be a plus. A team player and able to manage teams effectively. Demonstrated ability to communicate (orally and in writing) complex issues in a concise, compelling, and easily understandable manner (English and Hindi). Skilled in successfully working with geographically dispersed teams and working in a multicultural environment. Proficient computer skills in Microsoft Office Suite applications, including Word, Excel, PowerPoint, and Outlook. A quick and comprehensive learner. An analytical mindset is a big plus. Strong interpersonal and organizational skills, with the ability to prioritize deadlines and work in fast-moving environments and teams, while maintaining accuracy. Ability to travel frequently. Possess native-language proficiency in Hindi and English (Read, Write, Listen, Speak) SPECIAL NOTE Candidates who have played the role of a consultant or an engagement lead with state education departments/directorates and with prior experience as a teacher either in the private or public education system, or through fellowships (Teach for India, Gandhi Fellowship, Azim Premji Foundation fellowship etc.), are strongly encouraged to apply.

Responsibilities: Conducting classroom and online lectures on programming languages (Data Science, Python, Data Analytics) and related technologies to students Assigning and evaluating coursework, quizzes, and projects Providing one-on-one assistance and mentoring to students as required Ensuring that the course curriculum is up-to-date and relevant to industry standards Collaborating with other trainers and course developers to develop new training materials Maintaining accurate student records and progress reports Creating a positive and engaging learning environment for students Participating in faculty meetings, staff development programs, and other professional development activities as required Staying up-to-date with the latest trends and developments and related technologies Requirements: A Bachelor's or Master's degree in Computer Science or a related field A minimum of 1 years of experience as a trainer Excellent communication and interpersonal skills Strong knowledge of Python, Machine Learning, Data Science, Data Analytics, Deep Learning, NLP and related technologies Experience working with databases such as PostgreSQL and MySQL A passion for teaching and helping students achieve their career goals Ability to work independently as well as in a team environment

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients. Roles & Responsibilities: - Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. - Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and optimize NLP algorithms and models to improve performance and accuracy. - Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance - Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques - Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment Professional & Technical Skills: - Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning - Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM - Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits - Experience in implementing various NLP algorithms and models. - Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly - Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it - Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization - Have worked with RNN, LSTM etc. - Work exp in creating NLP pipelines for processing large amount of document corpus - Expertise with Python Additional Information: - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. -Be a self-starter and a fast learner - Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges - Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Large Language Models, deep learning, neural networks, chatbots, and natural language processing. Roles & Responsibilities: - Design and develop scalable and efficient AI-based applications and systems using Large Language Models, deep learning, neural networks, chatbots, and natural language processing. - Collaborate with cross-functional teams to identify and prioritize AI use cases, and develop solutions that meet business requirements. - Implement and maintain AI models and algorithms, and ensure their accuracy, reliability, and scalability. - Develop and maintain AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems. - Stay updated with the latest advancements in AI and machine learning, and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Experience with Large Language Models. - Strong understanding of deep learning, neural networks, chatbots, and natural language processing. - Experience with AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems. - Proficiency in programming languages such as Python, Java, or C++. - Experience with cloud platforms such as AWS, Azure, or GCP. - Experience with containerization technologies such as Docker and Kubernetes. Additional Information: - The ideal candidate will possess a strong educational background in computer science, artificial intelligence, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, you will develop applications and systems that utilize AI tools and Cloud AI services. You will be responsible for creating a proper cloud or on-prem application pipeline with production-ready quality. Your role will involve applying GenAI models as part of the solution, and may also include deep learning, neural networks, chatbots, and image processing. Join our team and contribute to cutting-edge AI technology. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with the team to understand application requirements. - Design and develop applications based on business process requirements. - Configure applications to ensure optimal performance and functionality. - Test and debug code to identify and resolve any issues. - Collaborate with cross-functional teams to integrate applications with other systems. - Provide technical support and troubleshooting for applications. - Stay updated with the latest industry trends and technologies. - Assist in documenting application design, development, and maintenance processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of statistical analysis and machine learning algorithms. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleansing, transformation, and normalization to ensure data quality and integrity - Creation and validation of test data,and predictive modelling like ANN, Gradient Boosting, and K-NN - Knowledge of Predictive analytics and algorithims Additional Information: - A 15 years full-time education is required.

MTS SOFTWARE SYSTEM DESIGN ENGINEER THE ROLE: Y ou will be a part of the team that drives the success of Debug Tools for AMD (Advanced Micro Devices) products through leadership & coordination, software development, and achievement of schedule commits. This is a high-visibility and critical role, spanning pre-silicon to bring-up to post-silicon software features/enhancements implementation & support. THE PERSON: In this position you will be working as a member of a high-performing agile team, which will have you working with everyone from SW architects to interns. If you thrive in fast paced, technically challenging environments, where you get to work on a variety of different engineering problems, this could be an outstanding opportunity for you . KEY RESPONSIBILITIES: Design, development, and support of tools that will be used in Silicon debugging and Customers environment. Collaborating with different silicon teams, peers, and partners for providing tooling solutions. Researching and prototyping new software features/solutions. Develop new software features and improvements within pre and post silicon environments. Participate in design reviews, quality improvements and architectural discussions. Engage as a teammate, demonstrate AGILE methodologies, and always ready to seek new challenges. Must be a self-starter, and able to independently drive tasks to completion. PREFERRED EXPERIENCE: Should have 8 to 12 years of work experience in product development or systems engineering background with hardware platforms and their software ecosystems. Strong C/C++ development skills with a good understanding of object-oriented design. Work experience in .NET Core/C#, Angular, and Database technologies. Very good problem-solving skills, team player, constantly up/cross skill on modern technologies. Experience in JTAG, Boundary Scans, etc. will be a plus. Experience in python, LLMs, AI tools, etc. will be a plus. ACADEMIC CREDENTIALS: Bachelor s or Masters degree in Computer or Electrical Engineering or equivalent #LI-RP1 Benefits offered are described: AMD benefits at a glance .