525 Generative Ai Jobs - Page 7

JOB DESCRIPTION Title: Senior Software Engineer - Data Science Full time Chennai Data Scientist Role Type: Location: Reports to: Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 3-5 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). ¢ Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 3-5 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3

Role & responsibilities ole Overview As an AI Voice & LLM Integration Developer, you will play a pivotal role in building and optimizing Your work will focus on: • Integrating GPT's ASR (speech-to-text) and TTS (text-to-speech) APIs into our platform. • Handling real-time voice streaming from VoIP/SIP systems. • Optimizing low-latency communication between AI models and telephony platforms (e.g., FreeSWITCH, WebRTC). • Supporting PBX call routing & handoWs with AI agents. • Ensuring high-quality, natural-sounding AI-driven voice interactions. Key Responsibilities Design and develop real-time voice processing pipelines for AI-driven conversations. • Integrate OpenAI's Whisper (ASR) and TTS APIs with VoIP and WebRTC systems. • Develop low-latency audio streaming middleware between telephony providers(Telnyx, Bandwidth) and GPT. • Work with SIP and WebRTC to ensure seamless audio transmission. • Implement PBX call routing and AI handoW mechanisms (e.g., transferring AI-handled calls to human agents). • Optimize AI voice latency and response times for a real-time, natural experience. • Collaborate with VoIP engineers to integrate AI capabilities into SIP-based systems. • Design APIs to manage AI-driven IVR workflows and customer interactions. • Ensure compliance with telephony regulations (e.g., STIR/SHAKEN, call recording laws). • Monitor system performance and implement scalability strategies for voice interactions. Required Qualifications AI & LLM Integration o Experience integrating GPT APIs (ChatGPT, Whisper, TTS engines) for voice applications. o Understanding of real-time AI voice processing and conversational AI workflows. Voice & Audio Streaming Experience working with low-latency, real-time audio streaming. o Familiarity with WebRTC, SIP/RTP, and VoIP streaming. Programming & Middleware Development Proficiency in Python, Node.js, or Go for API and middleware development. o Experience developing RESTful APIs and real-time streaming solutions. VoIP & Telephony Knowledge Familiarity with SIP, FreeSWITCH, Asterisk, or other PBX platforms. o Experience working with SIP trunking providers (Telnyx, Bandwidth, Flowroute, etc.). Performance & Optimization Ability to reduce latency in AI-driven conversations. o Experience with audio codec optimization (G.711, Opus, etc.). One or more of the following additional qualifications: Experience with STT/ASR models beyond GPT (Google Speech-to- Text, Deepgram, Kaldi). o Background in signal processing or audio engineering. o Familiarity with cloud-based voice solutions (AWS Connect, Twilio Voice, Dialogflow CX). o Knowledge of containerization (Docker, Kubernetes) for scaling AI voice workloads. o Experience with multi-tenant architectures for voice AI.

Role & responsibilities We are looking for Senior Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Amlgo Labs is Hiring | 2 Exciting Roles Available! Location: Gurugram (Hybrid) | Job Type: Full-Time Company Website: https://amlgolabs.com/ Position 1: Junior AI Engineer (Fresher LLMs & Generative AI Focus) Experience: 01 Year | Department: Artificial Intelligence / R&D About the Role: Join our cutting-edge AI team working on Large Language Models (LLMs), Generative AI, and automation solutions. Ideal for recent graduates passionate about machine learning, natural language processing, and prompt engineering. Key Responsibilities: Work with LLMs (e.g., OpenAI, Hugging Face) for development, fine-tuning, and integration Design effective prompts to optimize model performance Assist in deploying generative AI applications (text/code/image) Build Python-based AI/ML pipelines and evaluate models Collaborate with data teams for dataset management and preprocessing Monitor model behavior in production environments Document experiments, results, and technical workflows Required Qualifications: Bachelors in CS, Engineering, Data Science, or related field 01 year experience in AI/ML or relevant project work Proficiency in Python and libraries (NumPy, pandas, scikit-learn, matplotlib) Basic ML understanding and exposure to LLMs (GPT, LLaMA, etc.) Familiarity with Hugging Face, OpenAI API is a plus Awareness of ETL/data engineering practices Position 2: Full Stack Developer Experience: 0-1 Year | Department: Software Development About the Role: We are seeking a driven Full Stack Developer to build robust, scalable, and user-friendly web applications. You will work on both frontend and backend development, ensuring seamless performance from code to deployment. Key Responsibilities: Develop dynamic UIs using React.js, Next.js, TypeScript, Tailwind CSS, HTML/CSS Create backend services and RESTful APIs with Node.js and Python Work with MongoDB for NoSQL database management Manage deployments using Docker, VPS, Linux, and Nginx Collaborate cross-functionally to build high-quality solutions Conduct code reviews and continuously improve development practices Debug across various environments and optimize application performance Required Skills: Solid knowledge of JavaScript and TypeScript Experience in React.js, Next.js, Tailwind CSS, HTML, CSS Hands-on experience with Node.js and Python backend Familiarity with MongoDB and cloud/server deployments Understanding of RESTful API principles and modern dev tools Strong analytical and debugging skills About Us: Amlgo Labs is building the next generation of AI-driven solutions, with a focus on Large Language Models (LLMs), Generative AI, and intelligent automation. We're seeking curious and motivated individuals who want to work at the cutting edge of AI.

As a AI Developer specializing in Chatbots, you will be instrumental in designing, building, and deploying sophisticated conversational AI solutions. You will work across the entire AI lifecycle, from research and prototyping to production deployment and MLOps, with a particular focus on leveraging LLMs, RAG techniques, and agentic workflows to create intelligent and highly performant chatbots. Your expertise will directly contribute to enhancing customer interactions, automating processes, and delivering innovative AI-driven experiences. Key Responsibilities: Lead the design, development, and deployment of end-to-end AI solutions, with a significant emphasis on advanced chatbot systems, using LLMs (e.g., Llama-3, OpenAI, Gemini), LangChain, and LangGraph. Architect and implement sophisticated agentic AI workflows to enable multi-step reasoning, tool utilization, and autonomous task execution for complex business processes within chatbot applications. Develop and optimize scalable Retrieval-Augmented Generation (RAG) pipelines for real-time, context-rich information retrieval in conversational AI, utilizing vector databases like FAISS, Weaviate, and Pinecone. Build and containerize robust backend services for AI applications and chatbots using frameworks like FastAPI and Docker, ensuring seamless deployment on cloud platforms (AWS/GCP) through CI/CD pipelines. Integrate and manage comprehensive MLOps workflows for model versioning, performance monitoring, automated retraining, and continuous integration/continuous deployment (CI/CD) specifically for chatbot models (e.g., using MLflow, Airflow, Kubeflow). Fine-tune and optimize pre-trained LLMs and deep learning models (e.g., BERT, LSTM) for domain-specific text generation, sentiment analysis, text classification, Named Entity Recognition (NER), and contextual intent detection in chatbot contexts. Collaborate with cross-functional teams (product managers, UI/UX designers, data engineers) to translate business requirements into technical specifications for AI-driven features and chatbot functionalities. Stay abreast of the latest advancements in AI, NLP, LLMs, and conversational AI, continuously evaluating and implementing new technologies to improve our solutions. Mentor junior developers and contribute to best practices in AI development and MLOps. Perks and benefits: PF Insurance Contact Details: Deepanshi Jain (HR): 9717632996

SDE - 2 (Python + GenAI) Experience: 3 - 5 Years Exp Salary : INR 25-30 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : AWS, Python, microservices, Restful APIs, Generative AI, Django Good to have skills : AI/ML, E-Commerce, Fintech, open-source, FastAPI Lyzr (One of Uplers' Clients) is Looking for: SDE - 2 (Python + GenAI) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What Youll Do Own development of scalable backend systems for production-grade applications Design and develop backend services that power GenAI applications and platforms Build APIs and infrastructure to support LLM-based features, tools, and agent workflows Design and implement RESTful APIs, microservices, and data models Own payment gateway integrations (e.g., Razorpay, Stripe, etc.) and ensure secure, seamless transactions Architect and deploy backend solutions across cloud platforms (AWS, GCP, etc.) Build and maintain resilient infrastructure to support high-traffic applications Collaborate with frontend, DevOps, and product teams to ship end-to-end features Optimize systems for performance, reliability, and scalability Drive code quality, system security, and architectural best practices What Were Looking For 35 years of experience in backend development with end-to-end ownership of feature delivery Proficiency in Python Strong knowledge of relational and non-relational databases Proven experience with payment gateway integration and order processing systems Experience designing scalable systems and working with event-driven or distributed architectures Familiarity with Docker, Kubernetes, CI/CD pipelines, and monitoring tools Ability to translate business needs into robust technical solutions Excellent debugging, communication, and collaboration skills Nice to Have Experience working in start-ups or fast-paced product teams Exposure to AI/ML-based systems or microservice architectures Prior experience in fintech or e-commerce platforms Contributions to open-source backend projects Interview Process : Technical Round -1 Technical Round -2 CTO Round ( Past projects + Tech stack ) How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: The best way to build safe and reliable AI Agents, Automate repetitive tasks and workflows with our no-code platform or choose from thousands of pre-built agents for immediate impact. About Uplers: Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India. With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently. Experience a simpler, faster, and more reliable hiring process with Uplers today.

Hi all, We are hiring for the role Generative AI Engineer Experience: 3 - 6 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Masters degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203 If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Role Responsibilities: Lead full-cycle AI/ML projects aligned to business goals Guide the team in model development and implementation using advanced frameworks Drive research in Generative AI and LLMs (e.g., GPT, BERT) Collaborate across functions to identify AI-driven growth opportunities Key Deliverables: Successful delivery of high-impact AI projects AI roadmap and strategic planning documentation Mentorship and upskilling of ML team Quality-assured, production-ready ML models using cloud MLOps tools

Role Responsibilities: Build and deploy LLM-based NLP and content generation solutions Fine-tune models, develop RAG pipelines, and conduct prompt engineering Integrate AI workflows using Python, LangChain, and vector databases Optimize AI systems for production performance and cost Key Deliverables: Scalable GenAI solutions integrated into enterprise apps Custom LLMs with fine-tuning and embeddings Deployment-ready ML pipelines using AWS/Azure/GCP Documentation and collaboration on ethical AI practices

Role Responsibilities: Build and deploy LLM-based NLP and content generation solutions Fine-tune models, develop RAG pipelines, and conduct prompt engineering Integrate AI workflows using Python, LangChain, and vector databases Optimize AI systems for production performance and cost Key Deliverables: Scalable GenAI solutions integrated into enterprise apps Custom LLMs with fine-tuning and embeddings Deployment-ready ML pipelines using AWS/Azure/GCP Documentation and collaboration on ethical AI practices

Greetings from Futurea4! We are looking for a passionate and experienced Senior Data Scientist to drive innovation in the world of Gen AI, NLP, LLMs , and MLOps . Position : Senior Data Scientist Gen AI | NLP | LLM | MLOps Locations : Bangalore | Pune | Noida | Gurgaon | Hyderabad Experience : 6 to15 Years Joiners Preferred : Immediate or Short Notice Key Responsibilities Design and implement advanced NLP and Gen AI models using cutting-edge LLMs (e.g., GPT, LLaMA, Mistral). Fine-tune and customize LLMs through LoRA , PEFT , and prompt engineering techniques. Develop scalable ML pipelines and ensure smooth deployment via MLOps best practices. Translate business challenges into impactful AI-powered solutions . Monitor and improve model performance for accuracy and scalability. Create documentation and foster cross-functional knowledge sharing. Required Skills Strong hands-on experience in Generative AI , NLP , and LLM development (using frameworks like Hugging Face, spaCy, LangChain). Expert knowledge of Python , TensorFlow/PyTorch , and the ML lifecycle. Deep MLOps know-how: CI/CD, model monitoring, versioning, and deployment workflows. Cloud-native development experience (AWS, Azure, or GCP) and container tools ( Docker , Kubernetes ). Experience with large-scale data handling and data engineering principles. Nice to Have Familiarity with RAG pipelines , vector databases , and advanced prompt tuning. Exposure to multi-modal architectures , transformer models , and open-source LLMs . Publications or community involvement in AI research or development. Apply Today If you're eager to build the future of AI and ready to take on exciting challenges, we want to hear from you.

Engineering Leader This role requires a strategic thinker who can drive innovation, enhance system scalability, and mentor engineering teams to build world-class AI-driven applications. Required candidates Profile Minimum 15 years of experience to lead a team of full-stack and backend developer s. strong expertise in software architecture, modern cloud technologies, and hands-on experience with Generative AI. Required Skills & Qualifications: Technical Leadership: Proven experience in leading engineering teams, setting technology vision, and executing large-scale projects. Architect and lead the development of scalable, high-performance full-stack applications using Node.js, React.js, and Java to power cutting-edge products. Design and implement microservices-based, event-driven architectures with RESTful & GraphQL APIs , ensuring seamless user experiences. Optimize system performance, scalability, and reliability , leveraging caching (Redis), database tuning (PostgreSQL, MongoDB), and load balancing strategies . Oversee CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployments across AWS, GCP, or Azure to support continuous innovation. Implement security best practices (OAuth, JWT, OWASP) while ensuring compliance with industry standards for scalable product security . Guide teams in writing high-quality, scalable, maintainable, and test-driven code (Jest, Mocha, JUnit) to support long-term product evolution . Lead frontend architecture decisions, focusing on SSR, hydration strategies, and component-based design to enhance performance and user engagement. Drive observability and monitoring through logging (ELK, Datadog), tracing, and real-time system insights (Prometheus, Grafana) to improve user experience. Collaborate with DevOps teams to automate infrastructure and optimize deployment using Infrastructure as Code (Terraform, Ansible) . Stay ahead of emerging technologies , continuously improving system scalability, developer productivity, and product innovation . Preferred Qualifications: Prior experience in AI-driven products or SaaS applications. Experience in handling large-scale distributed systems and real-time processing. Understanding of security best practices in cloud-native applications. Contributions to open-source projects or research in AI/ML. contact dreamjobs@intellisearchonline.net

Hello Everyone, Optum is hiring Java Developer with AI ML flavor at Gurgaon/Noida. Primary Skills: Java, Spring, GenAI, Splunk/Dynatrace/New Relic, AWS/GCP/Azure, Deep Learning Experience: 7 yrs to 11 yrs Notice Period: Immediate to 45 days Location: Gurgaon/Noida Job Description: Experience in AI Ops that includes AI/ML Models quality monitoring and alerting, AI/ML Model development and continuous improvement, incident triage, troubleshooting, monitoring, continuous innovation Strong knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline. 7+ yrs of experience Java development. Hands-on experience on AI ML (Min 6 months - 1 yr in project) Experience working with data analysis (e.g., Splunk, Dynatrace, New Relic) tools. Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP). Solid incident management skills, with a data-driven and analytical approach to diagnosing complex issues Excellent problem-solving and troubleshooting skills. Ability to work collaboratively with a diverse team of engineers, architects, and developers. Ability to work independently and in a team environment Nice to Have Machine Learning certifications. Experience in a Healthcare Payer enterprise. Proficient in CRM platforms, such as Salesforce. Knowledge of data privacy regulations and practices. Experience in training team members on machine learning technologies and applications. Strong communication and project management skills. Ability to work independently and in a team environment Interested can share their updated CV at mohammad_ayub@optum.com. Thanks and Regards, Arshad Ayub - Talent Scout Optum mohammad_ayub@optum.com

Develop Deep Learning models, focusing on NLP, Large Language Models (LLMs), and Generative AI. Expertise in NLP techniques (e.g., text classification, sentiment analysis, text generation).

Our client is leading Global IT Service and Consulting Organization Role : Gen AI Lead/ Architect Exp : 10+ years Location. : Bangalore, Chennai, Hyderabad NP: Immediate to 30 days Job Description : Mandatory Skills : Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills : GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4

Generative AI Engineer Python and FastAPI,deploying generative AI models (LLMs, GANs, VAEs) in production environmentsRAG, embeddings,RESTful APIsmanaging secure APIDocker and KubernetesSQL and NoSQL databases(AWS, Azure, GCP)

Key Skills & Qualifications: Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applicationsnot just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.

Role - Sr Data Scientist Location - Gurgaon Work from Office - 5 Days What skills would you possess: • Total Experience: 3-5 years in data science - Gen- AI or related field. • Preferred Educational Background: Advanced degree in a relevant field (e.g., Computer Science, Data Science, Machine Learning). Technical Skills: • Strong expertise in NLP, chatbot development, deep learning, LLMs, Prompt Engineering & Fine tuning. Proficient in machine learning models: XGBoost, Random Forest, SVM. Experience with Dialog Flow and Rasa integration. Proficient in Python, PyTorch, Python packages, and related IDEs. Familiarity with Agile development methodologies. Experience with Jenkins and GitHub for CI/CD Communication Skills: Excellent verbal and written communication skills. If you are a motivated and skilled data scientist with a proven track record in NLP, chatbot development, deep learning, and machine learning models, we invite you to apply for the Senior Data Scientist position at Mobikwik. Join us in shaping the future of data-driven solutions in the fintech industry. Girish Gupta https://www.linkedin.com/in/igirishgupta/

Role & responsibilities We are seeking a highly experienced Generative AI Architect to lead the design and development of an AI platform that leverages Large Language Models (LLMs) and other cutting-edge AI technologies. In this role, you will be responsible for architecting scalable systems that process unstructured data (such as PDFs of technical documents) and generate structured outputs. You will collaborate with data scientists, engineers, and product teams to build an end-to-end AI-driven platform for real-world applications. Skills Required: GenAI (LMM) Technology & Architecture Cloud (AWS) Based solution dev. (EC2, AWS Bedrock, EKS, microservices) LLM & Transformer based models - Selection, integration and optimization Data pipeline engineering Product security

About the Role: (Job Title: Strategic Partnerships Manager) NxtWave is looking for a dynamic and proactive B2B Manager to join our team. The candidate will be responsible for developing strategic collaborations with key stakeholders across academia, industry, and government sectors, as well as onboarding and nurturing relationships with professionals to enrich our content and educational offerings. Key Responsibilities: Research & Strategy Development: Identify, research, and create new avenues for collaborations with diverse stakeholders, including academia, industry professionals, and government bodies. Partnership Management: Act as a Single Point of Contact (SpoC) for external partners, representing NxtWave in meetings, events, and collaborations. Content Curation & Development: Liaise with industry and academic professionals to develop high-quality content in collaboration with in-house Subject Matter Experts (SMEs). Proposal Creation: Develop compelling presentations and proposals that communicate the value propositions of NxtWave s products and offerings to potential partners. Relationship Building: Nurture long-term relationships with key stakeholders and partners to drive business growth and ensure successful collaborations. Event Management: Organize and coordinate collaboration events, meetings, and partnership initiatives to promote NxtWave s mission and educational offerings. Qualifications: Bachelor's degree in Business, Management, or a related field from a reputed institution (Business Schools like ICFAI preferred). 0-1+ years of experience in B2B partnerships either Full Time or as an intern, preferably within the education or technology sectors. Strong understanding of B2B dynamics and partnership ecosystems across academia, industry, and government. Excellent written and verbal communication skills, with the ability to craft clear and persuasive messages. Proficiency in Microsoft Office, GSuite, and leveraging Generative AI tools to create professional and visually compelling proposals. Ability to manage multiple partnerships simultaneously, with strong organizational and time-management skills. Personal Attributes: Go-getter Attitude: Motivated, energetic, and proactive, with a strong sense of initiative. Ownership: Ability to take full responsibility for projects and partnerships, delivering quality results. Presence & Professionalism: Excellent presentation skills, including body language, dressing, and demeanor that reflect professionalism in client meetings and events. Perks & Benefits: Opportunity to work with a rapidly growing edtech company, shaping the future of education. Exposure to high-level stakeholders in academia, industry, and government sectors. Growth and development opportunities through management training programs. Work Location: NxtWave s Hyderabad Office Working days: 6 days per week

Responsible for the development and implementation of predictive modeling algorithms and techniques to solve unmet needs, customer/business problems and optimize user experiences Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services. Predictive AI Modeling: Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems). Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights. Prepare data for effective model training. Develop, train, and evaluate predictive AI models using various tailored to specific problems. Continuously refine and optimize models for performance, scalability, and efficiency. Deploy models into production environments and monitor their performance. Generative AI Modeling: Identify opportunities where generative AI models can add value Explore and experiment with generative models (e.g., GPT) suitable for the chosen application. Train and evaluate generative models, fine-tuning parameters for desired outputs. Integrate generative models into production workflows or applications. Work with datasets of varying degrees of size and complexity including both structured and unstructured data Implements batch and real-time model scoring to drive actions Develop sophisticated visualization of analysis output for various users through JavaScript based frameworks React/Angular/VueJs etc. or using OOPS C#, Java

About This Role 5to 7years of experience Skills:Generative AI, AI/ML Framework, AI Product Tools, Product Management About the Role: We are seeking a dynamic Product Manager, AI to define, build, and drive the strategy for our enterprise clients in Generative AI solutions. You will be responsible for identifying market opportunities, developing AI-driven products, and leading cross-functional teams to deliver innovative, scalable solutions that transform business operations. Your ability to bridge technical AI capabilities with customer needs will be key to driving success. Key Responsibilities: Define & execute AI product strategy aligned with our client's objectives. Lead market research & competitive analysis to identify business opportunities. Develop business cases for new AI-driven product initiatives. Translate complex AI/ML capabilities into intuitive product requirements and user stories. Oversee testing & validation to ensure AI features meet quality and performance standards. Engage with customers & stakeholders to refine AI solutions based on feedback. Optimize user journeys by partnering with marketing and sales for AI-driven engagement. Drive AI personalization & automation, leveraging NLP, sentiment analysis, and recommendation engines. Establish AI analytics & reporting to track performance and continuously improve solutions. Preferred Skills & Expertise: Generative AI product strategy and prototyping AI/ML frameworks (LLMs, RAG, NLP, Sentiment Analysis) Prompt engineering and AI-powered recommendation engine AI product tools (Pendo, Figma/Adobe, Lucidchart, others ) Data-driven decision-making and user experience design principles Strong communication, presentation, and stakeholder management skills Telecom, MarTech and/or STEM background (preferred but not required) Customer-centric and consultative mindset This role is ideal for a strategic thinker with a passion for AI-driven innovation who thrives in a fast-paced, cross-functional environment.

Join Team Amex and let's lead the way together. How will you make an impact in this role? The Global Compliance & Ethics (GC&E) organization establishes the framework for American Express global compliance risk management program commensurate with the size, complexity and risk profile of the entity. As an independent risk management function, GC&E is responsible for overseeing the organization’s compliance with regulatory expectations through a combination of monitoring and testing activities. The Director of Data Analytics and Reporting is a new role that will be responsible for building and overseeing an analytics program designed to identify themes and trends across issues and complaint data with the purpose of driving compliance monitoring activities. Further, this role will assist the GC&E organization in independently gathering and evaluating pertinent data for use in its ongoing administration of its oversight duties. This role is essential in assisting GC&E in evolving the compliance risk management program to ensure the organization adheres to all relevant laws, regulations, and internal policies. The ideal candidate will be self-driven, have expertise in both building and managing analytic design and optimization efforts, ability to coordinate across cross matrixed environments, and is proficient in generating senior-leader ready reporting. Key Responsibilities: Collect, analyze, and interpret complex data from various sources to provide actionable insights. Develop reoccurring reporting that equips GC&E with the data needed to more effectively oversee the compliance framework. Partner with the broader GC&E to define the standards and deliverables to evidence a robust regulatory monitoring program. Drive awareness of regulatory monitoring requirements across the organization, ensuring alignment and accountability. Create reports, dashboards, and visualizations to distill large datasets into clear, concise, and meaningful information for leadership. Present data findings in a compelling way that tells a clear story, helping leadership understand trends, opportunities, and areas for improvement. Foster collaboration by engaging with stakeholders at all levels, understanding their needs, and tailoring data solutions to meet those requirements. Lead and develop a high-performing Regulatory Compliance team, fostering a culture of compliance excellence and continuous improvement. Governance: Designs, oversees, or substantively participates in risk governance structures, supporting clear accountability and decision-making frameworks that align with organizational objectives and regulatory requirements. Change risk management: Assesses, manages, or monitors risks arising from organizational, regulatory or environmental changes, so transitions do not expose the organization to new or unintended risks or lead to non-compliance with laws, regulatory requirements and supervisory expectations. Documentation: Develops and maintains practices and reporting to enable accurate and thorough records of risk management activities, supporting accountability and traceability throughout the risk management process. Risk communication and reporting: Communicates risk data, trends and analysis through structured reports, so key stakeholders, including the board of directors and senior leadership, receive timely, aggregate, accurate, complete and relevant information. Compliance regulatory reporting: Aggregates Compliance risk exposures across products, sectors or regions, and report to regulators in line with regulatory reporting requirements (e.g., SR 08-8, Heightened Standards, FRB LFI, CFPB, UK SMR, UK FCA). Qualifications: Bachelor’s degree required in Analytics, Computer Science, Statistics or related field; JD or Master’s degree preferred. Minimum of 10 years of experience in data analytics. Professional analytics certification preferred (Coursera, Exam DA-100, CAP) Excellent analytical, communication, and presentation skills with the ability to convey analytic results clearly and concisely to senior leadership. Strategic thinking and a being able to act independently in driving day to day operations. Proven track record of managing programs and improving processes within a regulated environment. Ability to manage multiple projects simultaneously and prioritize tasks effectively. Excellent interpersonal skills to influence and collaborate with stakeholders at all levels. Familiarity with regulatory requirements issued by CFPB, Federal Reserve, FDIC and OCC. Compliance Language We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Job Description: Generative AI Technical Lead Developer: AI + ML+NLP with Generative AI Total Years of Experience: 9-12 Years Location: Bengaluru / Gurugram Position Overview: We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML), Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise, strong analytical capabilities, and a proven ability to work in a collaborative and innovative environment. Responsibilities: Architecture Design: Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: Fine-tune pre-trained generative models for domain-specific use cases. Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Good exposure to Agentic Design patterns Collaboration and Leadership: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Mentor and guide team members on AI/ML best practices and architectural decisions. Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Required Skills: Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Should have strong knowledge on LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. Proven track record with event-driven architectures and real-time data processing systems. Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. Knowledge of containerization technologies such as Kubernetes and Docker. Comprehensive understanding of data lakes and strategies for data management. Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. Proficiency in cloud computing platforms such as Azure or AWS. Exceptional leadership, problem-solving, and analytical abilities. Superior communication and collaboration skills, with experience managing high-performing teams. Ability to operate effectively in a dynamic, fast-paced environment. • Nice to Have Skills: Experience with additional technologies such as Datadog, and Splunk. Programming languages like C#, R, Scala Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Professional and Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech

Required- Senior Manager Technology | Solution Architect Generative AI Location- Gurgaon and Bangalore Available to join immediately - 30 days ONLY. Bringing 12-18 years of progressive technology experience, including 5+ years architecting AI/ML and Generative AI solutions. Holds a Bachelor's degree in Computer Science or related field; Master's/PG in AI/ML preferred. Proven track record in leading the full lifecycle of enterprise-grade Generative AI solution development across Azure and Google Cloud. Strong full-stack architectural expertise in React, Node.js, and .NET, with a focus on scalable data platforms, secure DevSecOps practices, and delivering exceptional business outcomes. For more details, please share your CV via email [ admin@spearheadps.com] or contact me on WhatsApp/call at [9899080360].