5022 Artificial Intelligence Jobs - Page 18

What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLMs use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills and Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the teams and companys benefits. Think outside the box mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially hallucinate and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently.

Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility

Greetings from AIS!! AIS (Applied Information Sciences) is a highly regarded software and systems engineering firm providing professional application development services to commercial and government clients since 1982. One of Microsofts oldest and largest Managed Gold partners in the U.S., AIS is exclusively focused on building enterprise-class custom applications using Microsoft technologies. As we continue to experience extraordinary growth, we are seeking professionals to join our AIS Team in India. For more information, please visit: http://www.ais.com https://www.ais.com/blog/ Full-time opportunity Exp.: Min. 8.0 Years Mode of work: Hybrid Work Location: Hyderabad Required Skills Working knowledge on Azure Open AI API Chat completions, responses etc. Development SDK like Semantic Kernel & Langchain Excellent knowledge of Prompt Engineering Knowledge of implementing RAG (Retrieval Augmented Generation) patterns in application Knowledge of implementing Chat Bots Vector data bases Microsoft CoPilot and integrations with it. Knowledge of Microsoft Azure AI services deployment and monitoring New services like Microsoft AI Foundry Familiarity with Microsoft Azure If you are interested, please reply to me to this email. Thanks & Regards, Meghana Reddy M Sr. Talent Aquisition Business Partner Email: meghana.mandhala@ais.com

Create and optimize Google Ads accounts for clients or campaigns. Manage billing information and ensure compliance with billing requirements. Develop and implement effective digital advertising strategies to achieve campaign objectives. Provident fund

As Analyst/ Lead /Scientist, you will play a pivotal role in optimizing our SRE team's ability to proactively identify and resolve issues within our voice, text messaging platform infrastructure. You will leverage your expertise in AI/ML and data analysis to model system behavior, flag anomalies, and analyze large-scale datasets to drive data-driven optimization and ensure effective utilization of ML capabilities. Qualifications/Skills/Abilities Minimum Requirements Formal Education Bachelor's degree in computer science, Information Technology, or a related field with specialization in data science (or equivalent experience). Experience (type duration) 5+ years of experience in data analysis or data science, preferably in a technical or engineering environment. Telecom domain experience is good to have. Skills Proficiency in data analysis tools (e.g., SQL, Python, etc.,). Strong understanding of statistical concepts and techniques. Experience with data visualization tools (e.g., Tableau, Power BI, kibana, graphana, DOMO). Familiarity with cloud-based infrastructure and applications (e.g., AWS, Azure, GCP). Ability to work effectively in a fast-paced, collaborative environment. Experience working with large datasets, log analysis, and tools like Elastic and Domo (or similar) will be a significant advantage. Strong knowledge of AI/ML algorithms and frameworks (e.g., TensorFlow, PyTorch). Experience with anomaly detection techniques and tools. Accreditation / certifications / licenses Preferred: Advanced degree in data science or a related field. Experience in the telecom domain. Certification in data science or machine learning. Key Duties Responsibilities 1 AI/ML Model Development: Develop and implement AI/ML models to analyze system behavior, identify anomalies, and predict potential issues. 2 Collaborative Problem Solving: Work closely with SRE and DevOps teams to identify data logs, analyze system behavior, and develop AI/ML models to address issues. 3 Data Analysis and Modeling: Conduct in-depth analysis of large-scale datasets (SQL, NoSQL) to extract valuable insights and build predictive models. 4 Anomaly Detection: Develop robust anomaly detection algorithms to flag unusual system behavior and prevent potential disruptions. 5 Data-Driven Optimization: Optimize system performance and resource allocation based on data-driven insights and AI/ML recommendations. 6 ML Capability Utilization: Ensure effective integration and utilization of ML capabilities across the SRE team to enhance operational efficiency and reliability. 7 Telemetry Data Analysis: Analyze large datasets of telemetry data from various sources (e.g., call logs, performance metrics, system logs) to identify patterns, trends, and anomalies. 8 Alerting Optimization: Develop and refine alerting rules based on data-driven insights to ensure timely notification of critical issues and minimize alert fatigue. 9 Proactive Issue Identification: Leverage data analysis techniques and AI/ML models to proactively identify potential system issues or outages before they occur. 10 Root Cause Analysis: Investigate and analyze incidents to identify root causes and implement preventive measures. 11 Data Visualization: Create clear and informative visualizations to communicate findings to stakeholders and facilitate decision-making. Preferred Skills Preferred: Advanced degree in data science or a related field. Experience in the telecom domain. Certification in data science or machine learning. Required Skills 5+ years of experience in data analysis or data science, preferably in a technical or engineering environment. Telecom domain experience is good to have.

About the Role: As Assistant Manager - Production (Motion & Video Strategy), you will lead the vision and execution of Meeshos motion and video content to captivate Indias Tier 2, 3 and 4 audiences at a scale. Youll define how we tell stories through motion, scale content across platforms, and solve communication problems through deeply contextual, high-performing video formats. This role demands GenAI-first thinking, exceptional creative problem-solving, and the ability to build and manage a world-class team of video specialists. Youll partner across creative, brand, growth, product, and category functions to bring campaigns to life at scaledriving business outcomes and building a memorable, modern brand presence. What you will do Lead Meeshos motion and video content strategy across marketing channels, social platforms, and in-app experiencesdesigned for reach and relatability in Tier 2, 3 and 4 markets. Drive the end-to-end creation and production of dynamic video content: scripting, storyboarding, editing, animation, sound design, regional adaptation, and creative delivery. Use GenAI tools as core accelerators in ideation, content creation, visual refinement, and production scalingembedding AI into the entire motion workflow. Develop insight-led and culturally relevant visual storytelling that speaks to the aspirations, humour, and lifestyle of Bharats next billion users. Build a motion-first design language that blends brand expression with performance-driven assets for Meta, Google, YouTube, Reels, and more. Create and own execution playbooks and quality standards to ensure speed, consistency, and excellence across multiple motion and video formats. Champion creative experimentation and content testing, using insights to optimize storytelling, asset structure, format lengths, and regional targeting. Recruit, grow, and lead a team of passionate motion designers, editors, and AI-savvy creators who deliver high-velocity content with consistency and ambition. Collaborate closely with marketing, product, and growth teams to co-own KPIs and creatively unlock impact through > Stay ahead of the curve on motion trends, GenAI evolution, platform behaviors, and regional content culture, integrating learnings into daily workstreams. What you will need Bachelors degree in Design, Animation, Film, or equivalent related discipline. 8+ years of experience in video production, motion design, or video creative direction, with a strong body of work across performance marketing, campaign storytelling, and regional engagement. Mandatory experience with GenAI tools in video generation, asset extension, content localization, visual enhancement, or creative iteration (e.g., Runway, Veo, Kaiber, Gen-2 workflows, or equivalent). Proven ability to build, manage, and mentor a motion design team, delivering high-quality content across platforms and campaigns. Deep understanding of Indias Tier 2/3/4 digital behaviors, content preferences, and language nuancesplus experience designing content for vernacular users. Expert-level proficiency in Adobe Creative Suite (After Effects, Premiere Pro,etc) , animation plug-ins and video optimization. Strong creative instincts and data-informed mindset, with the ability to balance performance needs with breakthrough creative. High ownership mindset with the ability to work in fast-paced environments, juggle multiple projects, and meet tight timelines. A portfolio showcasing motion-led campaigns, short-form content, and AI-infused storytelling at scale is mandatory.

Job Title: Product Engineering Manager AI-Powered Developer Tools Location : Pune, Kharadi Role Snapshot: Youll be the chief builder who turns a set of working feature prototypes into a cohesive, shippable product. Beyond guiding architecture, you will own the full engineering, testing, build, and release lifecycle —from branch strategy and CI/CD pipelines to demo-ready builds. Expect to roll up your sleeves, dive into code or Docker files when needed, and keep a close pulse on every sprint deliverable until the demo goes live. Key Responsibilities: Product-engineering leadership – translate the AI-driven IDE vision into actionable roadmaps, sprint goals, and acceptance criteria; focus and prioritise what ships next. Own the release pipeline end-to-end – branch strategy, CI/CD, automated testing, versioned builds, and demo-day readiness. Hands-on development – pair-program, review PRs, and jump into critical-path code (TypeScript/Node, Go/Rust, or Python) whenever the team is blocked. Coach & unblock the team – micro-manage 6-10 engineers until velocity feels effortless: instil clear “definition of done” and code-quality gates. Embed AI in the workflow – push AI coding tools / IDE to their limits; wire LLM services into new features. Drive a “ship-fast, iterate-faster” culture – short sprints, clean merges, nightly builds, zero demo-day surprises. Sweat the details – performance, polish, and great UX in every release. Must-Have Experience: 8–12 yrs engineering, with 3+ yrs leading product teams for SaaS, IDE plugins, or dev-tool startups. Expert in Git flow and conflict resolution. Hands-on with modern CI/CD (GitHub Actions / GitLab CI / Azure Pipelines) for cross-platform desktop or VS Code extension builds. End-to-end test strategy ownership (unit integration Playwright/Cypress). Strong coding skills in TS/JS plus one systems language (Go, Rust, or C++). Comfortable running local or hosted LLMs and wiring them into product features. Ideal Candidate Traits: Cracked builder pre-AI who now wields AI tools without relying on them. Proven record shipping products users love , not just PoCs. Momentum over perfection – continuous small wins trump “big-bang” launches. Energised by ownership , allergic to bureaucracy – rigorous on “definition of done,” flexible on process. Cares deeply about craft and teammates. Why Smart Analytica: Green-field canvas : define the DNA of a next-gen AI coding platform. Hands-on freedom : founders expect you to lead and code. Tight-knit team : builders who care about craft, speed, and each other. Ready to own the build button? Email your rsum to hiring@smart-analytica.com with subject “Product Engineering Manager”

Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month) What do you need for this opportunity? Must have skills required: ChatGPT, GenAI, GitHub Copilot, LMS, CI/CD, MariaDB, Spring Boot, AWS, Docker, Git, MySQL, React Js We are looking for an experienced and versatile Full Stack Developer who can manage end-to-end development of our Learning Management System (LMS). The ideal candidate will have expertise in frontend and backend technologies, DevOps practices, and strong leadership capabilities. Experience developing cloud-based services is essential, as our LMS operates on a subscription-based cloud model. Additionally, the candidate should be capable of efficiently utilizing generative AI tools to accelerate the development process and improve productivity. About the role - Were hiring a Full Stack Developer (25 years experience) to take on the end-to-end development of our LMS. Youll work in a fast-moving environment where autonomy, speed, and quality matter. The project will use React.js , Spring Boot , MariaDB , and AWS . Were also open to developers who use generative AI tools (like Copilot or ChatGPT) to write better code faster. Tech Stack Frontend: Backend: Spring Boot (Java) Database: MariaDB Cloud: AWS DevOps: Git, Docker, CI/CD Bonus: GitHub Copilot / AI-assisted development Responsibilities Build and deploy the LMS from scratch (frontend to backend) Develop REST APIs and connect backend services with frontend features Design and maintain database structure using MariaDB Host and maintain application infrastructure on AWS Use AI tools for faster and more reliable development Ensure security, performance, and scalability of the platform Communicate proactively with our team Requirements 2-5 years of full stack development experience Strong proficiency in React.js and Spring Boot Solid understanding of MariaDB or similar relational databases Hands-on AWS deployment experience Familiarity with Git, Docker, and CI/CD Ability to work independently and operate during IST hours Good communication and task ownership skills Experience using generative AI tools is a plus No of Interview Rounds : 1 (CEO and CTO) Contract Duration : 12 Months.

Role & responsibilities • Lead the technical architecture and design of end-to-end solutions across cloud and hybrid environments. • Translate complex business requirements into scalable, performant, and secure technical designs. • Collaborate closely with engineering, product, and business teams to align architectural goals with delivery objectives. • Provide technical leadership and mentorship to development teams across technologies including backend, frontend, DevOps, and data layers. • Define and enforce coding standards, design principles, architectural best practices, and governance processes. • Drive cloud-native design on Azure, incorporating services such as Azure App Services, Azure Functions, etc. • Actively contribute to POCs, reference architectures, reusable templates, and solution accelerators. • Stay updated with emerging tools, technologies, and frameworks to recommend improvements and modernize existing systems. Preferred candidate profile Minimum Qualifications • BE/B Tech/MCA or equivalent degree in technical discipline. • Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly to varied audiences. Preferred Qualifications/ Skills • Hands-on experience in software development. • Strong expertise in designing and implementing solutions using Python. • Experience in AI/ML model deployment, MLOps, or GenAI integration. • Deep understanding of Azure cloud ecosystem. • Understanding of microservices architecture, API and integration patterns. • Familiarity with databases (SQL/NoSQL), messaging systems, caching, and distributed systems. • Strong problem-solving ability and experience with troubleshooting and performance optimization. • Knowledge/experience of FnA domain (R2R, S2P, O2C) is a strong plus.

Job Description: Python Gen AI Developer Seeking an experienced Python Developer with expertise in Generative AI to join our AI & ML Engineering team. The ideal candidate will work on building intelligent applications leveraging large language models (LLMs) and deep learning to enhance customer experience and streamline business processes. Key Responsibilities: Design, develop, and deploy GenAI solutions using Python and modern AI frameworks. Work with LLMs (e.g., GPT, LLaMA, Claude) and fine-tune them for enterprise use cases. Develop prompt engineering strategies and support prompt optimization. Integrate AI models with backend services and data pipelines. Implement scalable and secure APIs and services for GenAI use cases. Collaborate with data scientists, ML engineers, and product teams. Ensure compliance with enterprise security, data governance, and regulatory standards. Required Skills: 4+ years of experience with Python in enterprise application development. Strong knowledge of GenAI tools (OpenAI, Hugging Face, Lang Chain, etc.). Experience with LLMs, prompt tuning, RAG (Retrieval Augmented Generation). Experience with Flask/Fast API or similar frameworks. Familiarity with vector databases (e.g., NodeJS, FAISS, Pinecone). Understanding of NLP and transformer models. Good knowledge of Git, Docker, CI/CD. Nice to Have: Experience working in the finance or banking domain. Exposure to Kubernetes and model deployment pipelines

Role & responsibilities Develop and implement engaging lesson plans that align with the CBSE curriculum Teach students how to use various software programs and coding languages Introduce students to the concepts of Artificial Intelligence and Robotics through hands-on projects Assess student progress and provide feedback to help them improve Collaborate with colleagues to create a positive and supportive learning environment Preferred candidate profile Bachelors degree in Computer Science or related field Experience teaching ICT, AI, or Robotics at the secondary level Familiarity with CBSE curriculum and teaching methods Strong communication and interpersonal skills Passion for technology and innovation in education

Job Title: Senior AI/ML Engineer Custom LLM & RAG Implementation Location: On-site Experience: 7+ years Industry: Cross-Domain (Finance, Healthcare, Logistics, Retail, LegalTech, etc.) About the Role We are seeking a highly skilled and hands-on Senior AI/ML Engineer with strong expertise in building and deploying custom Large Language Models (LLMs) . The ideal candidate will have demonstrable experience in Retrieval-Augmented Generation (RAG) implementations, fine-tuning foundation models , and solving complex problems across domains using applied machine learning and natural language processing. This role is strategic and technical, requiring a blend of research, solution engineering, MLOps maturity, and domain adaptability. Key Responsibilities LLM Development & Deployment Design, build, and deploy customized LLM pipelines tailored to enterprise use cases. Implement end-to-end LLMOps workflows including model packaging, CI/CD, and monitoring. RAG & Fine-Tuning Implement RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and document ingestion frameworks (e.g., LangChain, Haystack). Fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral, MPT) on proprietary datasets using frameworks like Hugging Face Transformers and PEFT/LoRA. Solution Engineering Translate business problems into ML/LLM solutions with clear problem framing and data strategy . Collaborate with product, data engineering, and domain teams to prototype and deliver scalable solutions. Cross-Functional AI Applications Apply ML/LLM solutions across multiple verticals such as legal document analysis, customer support automation, compliance, supply chain optimization, or medical NLP. Build domain-agnostic prompt engineering strategies and apply zero-shot/few-shot learning where appropriate. Leadership & Mentorship Mentor junior engineers and contribute to AI/ML best practices . Act as a thought partner in innovation and experimentation within the team and with external stakeholders. Required Skills & Qualifications Bachelors or Master’s in Computer Science, AI/ML, Data Science, or related field. 5+ years of hands-on experience in ML/NLP , with a recent focus on LLMs and foundation models. Deep knowledge of Hugging Face ecosystem , PyTorch/TensorFlow, LangChain, OpenAI APIs, and popular model libraries. Experience deploying ML models to production using FastAPI, Docker, Kubernetes , or cloud-native tools (AWS/GCP/Azure). Familiarity with vector databases , embeddings, and search frameworks. Strong understanding of model evaluation metrics , bias/fairness in ML, and responsible AI practices. Ability to work cross-functionally with business, legal, and engineering teams. Preferred Qualifications Experience with RLHF (Reinforcement Learning from Human Feedback) . Published work in open-source communities or AI research conferences. Familiarity with multi-modal AI , autoML , or agentic workflows is a plus. Prior work in regulated domains (e.g., finance, healthcare, legal). Why Join Us Work on cutting-edge AI/LLM use cases that span industries and functions. Lead mission-critical AI initiatives from ideation to deployment. Be part of a collaborative, innovation-driven team shaping the next generation of enterprise AI solutions.

Job Summary: We are looking for an innovative and technically skilled Generative AI Developer with 2 - 4 years of experience to join our team, focusing on the development and deployment of intelligent agents using Agentforce, Salesforces GenAI platform, or similar frameworks. The ideal candidate will be passionate about applying large language models (LLMs) to real-world business workflows, building conversational agents, and delivering high-impact AI-powered solutions within the Salesforce ecosystem and beyond. Key Responsibilities: • Design, develop, and deploy Generative AI agents using Agentforce, LLMs (like GPT-4), and related frameworks. • Build and integrate intelligent, context-aware workflows into CRM, support, and operational systems. • Collaborate with cross-functional teams (Product, Engineering, Data, and Business) to understand business challenges and deliver scalable AI solutions. • Fine-tune and prompt LLMs for specific use cases such as market outreach, sales assistance, document summarization, and automation tasks. • Maintain and optimize agent performance through evaluation, prompt engineering, and feedback loops. • Stay up-to-date with the latest in generative AI, Salesforce AI tools (Einstein Copilot, Agentforce), and open-source frameworks. • Create technical documentation and provide support for production deployments and ongoing enhancements. Qualifications Required : • 2 - 4 years of experience in AI/ML or Software Development, with at least 1 year working directly with LLMs or GenAI applications. • Hands-on experience with Agentforce, OpenAI, LangChain, or other GenAI frameworks. • Proficiency in Python, JavaScript, or relevant programming languages for AI agent development. • Experience integrating GenAI capabilities into Salesforce, web apps, or enterprise systems. • Strong understanding of prompt engineering, vector databases, and agent orchestration. Preferred : • Experience with Salesforce Einstein Copilot, Salesforce Data Cloud, or MuleSoft integration. • Familiarity with LLMOps, model evaluation, or responsible AI best practices. • Knowledge of REST APIs, OAuth, and cloud platforms (AWS, GCP, Azure). Preferred candidate profile

Key Responsibilities: Strategic Campaign Leadership: Develop, implement, and oversee comprehensive pay-per-click (PPC) campaigns across platforms such as Google Ads, Meta Ads, and Bing Ads, ensuring alignment with client objectives and maximizing return on investment (ROI).? Advanced Keyword Research: Conduct in-depth keyword research to identify high-performing keywords, optimizing campaign targeting and effectiveness.? Creative Development: Craft compelling ad copy and design engaging creatives tailored to diverse audiences and industries, enhancing click-through rates and conversions.? Performance Analysis: Monitor and analyze campaign performance metrics, including click-through rates (CTR), conversion rates, and cost per acquisition (CPA), providing actionable insights for continuous improvement.? Budget Management: Manage and allocate campaign budgets effectively, ensuring optimal spend across various channels while adhering to financial constraints.? AI & Automation Integration: Leverage AI tools and automation techniques to streamline campaign processes, enhance efficiency, and improve overall campaign performance.? Team Leadership: Mentor and guide junior SEM analysts, fostering a collaborative and knowledge-sharing environment.? Client Communication: Maintain clear and proactive communication with clients, providing regular updates on campaign performance and strategic recommendations.? Error-Free Execution: Demonstrate meticulous attention to detail, ensuring all campaigns are executed flawlessly and meet the highest standards of precision.? Industry Awareness: Stay abreast of the latest trends and best practices in SEM and digital marketing, applying this knowledge to keep Mavlers at the forefront of the industry.? Requirements - What We Expect from You Experience: 5 to 7 years in SEM and performance marketing. Platform Proficiency: Extensive experience with Google Ads, Meta Ads, and Bing Ads. Global Campaign Management: Proven track record of managing campaigns for clients in the USA and Canada. Industry Versatility: Ability to adapt strategies for various industries, including eCommerce, B2B, and B2C. AI & Automation: Familiarity with AI and automation tools to enhance efficiency and campaign outcomes. Leadership: Experience in mentoring and leading teams, with a collaborative approach to achieving goals. Precision & Accuracy: Commitment to error-free execution and meticulous attention to detail. Agency Background: Preferably, experience working in digital marketing agencies, brand & creative agencies, or marketing agencies, with a deep understanding of agency dynamics.

Agent Trainer (Remote Flexible Hours) Help Shape the Future of AI. No Prior AI Experience Required. About Us At SoftAge, we work with the worlds leading AI research labs and product teams to train cutting-edge autonomous agents and foundation models. These systems power the next generation of digital assistants, copilots, and task-completing AI Agents across web, desktop, and mobile platforms. Our global network of trainers, technologists, and creators plays a key role in teaching AI to interact intelligently with real-world digital environments. What You'll Do As an Agent Trainer , you'll teach AI systems how to navigate and use real software spanning productivity tools, web platforms, design software, code editors, and more. This includes: Creating realistic scenarios and natural prompts for task completion Demonstrating tasks step-by-step using Mac/Windows systems Recording interactive data in structured formats Evaluating outputs and identifying model weaknesses Helping simulate and guide human-like computer use Why You Should Apply Earn Up to $10-$60/day depending on hours contributed Flexible, Remote Work work from anywhere, on your schedule No AI Experience Required comprehensive onboarding provided Work on Real AI directly contribute to training powerful LLMs, LAMs, and Agents Be Part of the Future help define how AI interacts with the digital world Who Were Looking For We welcome professionals, and tech-savvy experts from all backgrounds who: Are proficient Mac or windows users with access to a decent desktop or laptop. Have expertise in any professional software tools from different domains (e.g., Figma, Excel, VS Code, Photoshop, Notion, Jira) Can think logically and creatively to break down digital tasks Pay strong attention to detail and care about quality Enjoy working independently and solving problems Hear From Our Trainers "As a designer, I usually use AI to get answers. But here, I'm challenging it to do better its a total role reversal, and its addictive." Product Designer & AI Trainer "The flexibility and the chance to directly shape how future AIs work makes this role both fun and impactful." Tech Consultant & Agent Trainer Ready to Join? Apply now via this short form: https://forms.gle/rjUBYARYk2zok3BH9 SoftAge is proud to be a part of AI innovation that includes diverse voices and expertise. Come as you are, bring what you knowand let’s shape the digital future together.

Job Description: Role Overview We are seeking a highly skilled AI Engineer with 8-12 years of experience to lead the development of Generative AI (GenAI) and Machine learning solutions for internal projects. This role requires a self-driven leader with exceptional communication, strategic thinking, and expertise in data analytics and visualization to deliver innovative GenAI tools tailored to internal team needs while driving cross-functional collaboration. Key Responsibilities GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing R AG based application: In depth understanding of stages of RAG - chunking, retrieval etc. Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. Data Analytics : Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience : 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. Education: BTech/BE in Computer Science, Engineering, or equivalent (Masters or PhD in AI/ML is a plus). Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. GenAI Methodologies : Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. Deployment : Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. Problem-Solving : Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Preferred Skills Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data science

Requirements: Bachelors/Master’s degree in Computer Science or equivalent. A minimum of 2-3 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications. Experience developing and maintaining RESTful APIs using FastAPI and interfacing with relational databases. Experience in implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG. Hands-on experience with cloud platforms (AWS, Azure, GCP) and docker for AI deployment and scaling. Strong Git skills for version control and collaborative development. Ability to adjust and thrive in a fast-paced environment with changing priorities. Strong analytical and problem-solving skills. Familiarity with data visualization tools such as Strategy preferred.

Designation: Associate Technical Lead (AI/ML) Experience: 4-8 years Location: India/Sri Lanka/Indonesia About Tetherfi: At Tetherfi, we create intelligent solutions that drives business and increase productivity. We combine industry expertise, technological capabilities and human-centred approach to help businesses evolve from thinking digital to being digital. The Right Individual: We are looking for an Associate Technical Lead who would lead and work alongside a growing research and development team to improve existing products and build new products. The ideal candidate would be someone with understanding of data structures, data modelling and software architecture. Role & Responsibilities: You will lead and work within a growing research and development team to improve existing and build new products. Your role will be to develop or enhance innovative products and applications for the company You will also conduct lot of research and solve a variety of problems that have never been solved before. Ideally, you are a detail-oriented, self-motivated individual and enjoy dealing with challenging problems. Ability to make decisions and take responsibility for projects and tasks Willingness to learn and grow professionally in a team environment. Your role will be to fully research, design, implement, test and demonstrate the results. Your role will be preparation for demos and proof of concepts with latest technologies. You will be required to have grooming, mentoring and managerial skills for this role. Expected Functional Skills: 4-8 years of work experience in the field of software engineering and research. Understanding of data structures, data modelling and software architecture Deep knowledge of math, probability, statistics, and algorithms Ability to write robust code in python. Fluent in one of following programming languages: Python, C#, Javascript. Experience on AI/ML technologies and familiarity with contemporary Cloud Architectures, Virtualisation and Containerisation methods, tools, and techniques Basic understanding on networking protocols and concepts. Good understanding on design patterns. Willing to learn new technologies and programming languages quickly. Experience working on large scale software projects Working knowledge of building deep learning NLP, Computer Vision Models for classification and object detection. Proficient in AWS/GCP cloud platforms, exposure in fetching data from various sources

Job Name: : Business Process Re-engineering Expert (IT) Job Summary The Business Process Re-Engineering Expert (IT) will be responsible for enhancing government project outcomes through the implementation of the latest IT solutions and emerging technologies. The expert will provide guidance on policy creation, technological adoption, and support the department in identifying and implementing innovative IT strategies. Key Responsibilities Expert in latest emerging technologies and policy creation related activities. Enhance government project outcomes through implementation of latest IT solutions. Identify the technological needs of the Department and provide guidance on implementation and adoption. Provide technical guidance and support during the implementation of IT solutions. Provide technical expertise on emerging technologies, including AI, Blockchain, drones, cloud computing, etc. Conduct research and analysis to stay up to date on emerging technology trends and best practices across various states. Qualification Criteria B. Tech (any specialization; preferred Computer/IT), MBA (IT), or MCA from a recognized institution. Experience Minimum 5 years of experience with at least 3 projects related to Business Process Reengineering, E-governance, or IT solutions and development with Central/State Government, Multilateral Institutions, or government agencies. Required Skills Business Process Reengineering E-Governance Implementation IT Solution Development Technical Guidance on Emerging Technologies Policy Creation and Strategic Planning Research and Analysis of IT Trends Contract Details We kindly request that you apply only if you meet the required criteria outlined above. Please note that profile selection will be based on your responses to the questions asked. We encourage you to answer thoughtfully, as your responses will be a key part of the evaluation process.

Job Description Experience: 3+ years Key Responsibilities: Must Have experience in Gen AI OR Machine Learning OR Deep learning OR Reinforcement learning. Hands on exp in LLMs (Large Language Models). Exp in Retrieval-Augmented Generation (RAG) Interested Candidates can directly reach Mirafra office Contact Person - Jyoti Prakash

We are looking for a highly motivated and talented individual to join our team as an AI/ML Intern in Chennai. The ideal candidate will have a strong foundation in software development and a keen interest in artificial intelligence and machine learning. Roles and Responsibility Collaborate with cross-functional teams to design, develop, and deploy AI and ML models. Work on data analysis, modeling, and visualization to drive business insights. Develop and implement algorithms for natural language processing, computer vision, and predictive analytics. Participate in code reviews and contribute to improving the overall quality of the codebase. Stay updated with industry trends and advancements in AI and ML. Apply AI and ML techniques to solve complex problems and improve business processes. Job Requirements Strong understanding of software development principles, patterns, and practices. Proficiency in programming languages such as Python, Java, or C++. Experience with AI and ML frameworks like TensorFlow, PyTorch, or Keras. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills.

Role & Responsibilities: Design & implement AI workflows to automate CRM, trip quotations, lead follow-ups, and customer chat/voice queries Build smart agents using GPT (chat + voice) for internal & customer use (OpenAI, Twilio, CallHippo) Integrate travel APIs (flights, hotels, activities) with our platform for live quotation generation Automate repetitive tasks using Make.com, Zapier, and internal tools Work with the Product and Creative teams to bring AI to media creation (photo/video sorting, customer albums, etc.) Develop performance dashboards, auto-suggestion tools, and smart seller assistants Stay up to date with AI trends in TravelTech and test applicable models for use Preferred Candidate Profile: 2 to 5 years of real-world experience in applied AI, automation, or backend systems Strong Python skills (FastAPI, LangChain, Pandas, etc.) Hands-on with OpenAI/GPT APIs, Twilio, WhatsApp integrations Familiarity with automation tools like Make.com, Zapier Passionate about travel, tech, and creating impact Bonus: Experience in e-commerce, SaaS, or travel-tech products

Job Title: Rule Engine Developer Location: Gurugram (Remote) Job Type: Part-Time Company Overview: Serigor Inc is a Maryland based, CMMI L3, Woman Owned Small Business (WOSB) specializing in IT Services, IT Staff Augmentation, Government Solutions and Global Delivery. Founded in 2009, we are a leading IT services firm that delivers deep expertise, objective insights, a tailored approach and unparalleled collaboration to help US government agencies and Fortune 500 companies confidently face the future while increasing the efficiency of their current operations. Our professional services primarily focus on ITS services portfolio including but not limited to Managed IT Services, Enterprise Application Development, Testing and Management Consulting, Salesforce, Cloud and Infrastructure Consulting, DevOps Consulting, Migration Consulting, Service Management, Custom Implementation and IT Operations & Maintenance, Remote Application & Infrastructure Monitoring and Management, Big Data as a Service, and Data Science Consulting practices. Job Summary: We are seeking a part-time Rule Engine Developer to design, implement, and maintain rule-based systems. Key Responsibilities: Design and develop rules using Drools Rule Language (DRL). Help structure the rule engine and support integration with backend services. Provide guidance to the team on Drools syntax, patterns, and best practices. Create concise documentation for ongoing team use. Participate in short weekly check-ins to review progress and issues. Required Skills & Qualifications: 3+ years of experience working with Drools or similar rule engines. Strong expertise in DRL (Drools Rule Language) and decision table authoring. Experience integrating Drools with backend systems (e.g., Java, REST, databases). Ability to work independently and collaborate asynchronously with a small, agile team. Preferred (Not Required): Exposure to natural language processing or AI-generated rules.

Position Title: Artificial Intelligence Engineer Location: Gurugram (Remote) Job Type: Full Time Freshers passed out from any IITs, NITs, BITS and has graduation in Engineering will be consider for this role as an ENTRY LEVEL candidate. (Training & Mentorship will be provided). Please note: Must be available to work in US EST time zone (7 PM IST to 4 AM IST) This Is 100% REMOTE / Work from Home opportunity. 0-2 Years of Relevant Experience is required. Company Overview: Serigor Inc is a Maryland based, CMMI L3, Woman Owned Small Business (WOSB) specializing in IT Services, IT Staff Augmentation, Government Solutions and Global Delivery. Founded in 2009, we are a leading IT services firm that delivers deep expertise, objective insights, a tailored approach and unparalleled collaboration to help US government agencies and Fortune 500 companies confidently face the future while increasing the efficiency of their current operations. Our professional services primarily focus on ITS services portfolio including but not limited to Managed IT Services, Enterprise Application Development, Testing and Management Consulting, Salesforce, Cloud and Infrastructure Consulting, DevOps Consulting, Migration Consulting, Service Management, Custom Implementation and IT Operations & Maintenance, Remote Application & Infrastructure Monitoring and Management, Big Data as a Service, and Data Science Consulting practices. Role Overview: We are looking for a skilled and motivated AI Engineer. Key Responsibilities: Use AI models (like GPT or Claude) to extract useful information from documents. Convert plain English content into structured formats (like JSON, tables, or templates). Write and refine prompts to get consistent, accurate results from AI tools. Build simple tools or scripts to test and review AI outputs. Collaborate with other engineers to integrate AI-generated outputs into a working system. Keep track of where each output came from in the original document. Updated Required Skills & Qualifications: 0-2 years of experience in AI/ML , with focus on natural language processing or document analysis. Hands-on experience using large language models (LLMs) like GPT, Claude or similar. Strong Python skills and familiarity with LangChain , spaCy , or Hugging Face . Experience with embeddings , chunking , and vectorization techniques for document processing. Knowledge of vector databases like FAISS, Chroma, Pinecone, or similar. Ability to design and run structured tests to evaluate AI outputs. Preferred: Experience with Retrieval-Augmented Generation (RAG) workflows. Exposure to compliance, regulatory, or legal documents . Familiarity with web APIs , data integration , or LLMOps pipelines .

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Preferred candidate profile Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.