4010 Openai Jobs - Page 18

Job Title: AI/ML Internship About PGAGI At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet. Position Overview: We are excited to announce openings for AI/ML Interns who are enthusiastic about artificial intelligence, machine learning, and data-driven technologies. This internship is designed for individuals who want to apply their knowledge of algorithms, data analysis, and model development to solve real-world problems. Interns will work closely with our AI engineering teams to develop, train, and deploy machine learning models, contributing to innovative solutions across various domains. This is an excellent opportunity to gain hands-on experience with cutting-edge tools and frameworks in a collaborative, research-oriented environment. Key Responsibilities: - Experience working with python, LLM, Deep Learning, NLP, etc.. - Utilize GitHub for version control, including pushing and pulling code updates. - Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models. - Engage in prompt engineering and the fine-tuning process of AI models. Compensation Joining Bonus: INR 2,500 one-time bonus upon joining. Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations. Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork. Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions. Requirements: - Proficiency in Python programming. - Experience with GitHub and version control workflows. - Familiarity with AI platforms such as Hugging Face and OpenAI. - Understanding of prompt engineering and model fine-tuning. - Excellent problem-solving abilities and a keen interest in AI technology. Perks: - Hands-on experience with real AI projects. - Mentoring from industry experts. - A collaborative, innovative and flexible work environment How to Apply Interested candidates are invited to submit their resume and complete the assignment using the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754 Shortlisted candidates will be contacted for an interview. Selection Process Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI. Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills. Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration. Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team. Onboarding: Successful candidates will join our team, with exciting projects ahead After completion of the internship period, there is a chance to get a full-time opportunity as an AI/ML engineer (Up to 12 LPA). Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge! #artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate

What You’ll Do Design, develop and deploy agent-based AI systems using LLMs Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference. Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks. Collaborate with cross-functional teams to integrate knowledge base into agent frameworks. Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP) Implement version control strategies using Git, manage code repositories and ensure best practices in code management. Develop, manage CI/CD pipelines using Jenkins or other relevant tools to streamline deployment and updates. Monitor, evaluate, and improve model performance post- deployment on Google Cloud. Communicate technical findings and insights to non-technical stakeholders. Participate in technical discussions and contribute to strategic planning. What Experience You Need Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field. 7+ years of experience in AI/ML engineering, with a strong focus on LLM-based applications. At least 10+ years of experience in IT overall. Proven experience in building agent-based applications using Gemini, OpenAI or similar models. Deep understanding of RAG systems, vector databases, and knowledge retrieval strategies. Hands-on experience with LangChain and LangGraph frameworks. Solid background in model training, fine-tuning, evaluation and deployment. Strong coding skills in Python and experience with modern MLOps practices. What Could Set You Apart Familiarity with frontend integration of AI agents (Eg. using Angular, Mesop or similar frameworks). Experience with Google Cloud services like BigQuery, Vertex AI, Agent Builder. Exposure to Angular framework

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands. Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network. Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI. Want to become a key part of the Generative AI revolution? We should talk. We are looking for a visionary leader to design, develop, and deliver strategic data-centric insights by leveraging next-generation analytics and BI technologies. This is not a traditional reporting role—we seek someone who is data-centric, insight-driven, and eager to drive meaningful impact through innovative, scalable solutions. This role is perfect for someone who wants to enable innovation and growth, is passionate about data storytelling, and brings a future-forward mindset—particularly around AI-driven BI and conversational intelligence. Responsibilities Become an expert on internal and external data trends relevant to Netomi’s business and product ecosystem. Design and maintain BI dashboards and tools that enable teams to independently track and understand business metrics. Conduct deep-dive analysis into chatbot performance, user interactions, and conversational flows to identify key optimization opportunities. Collaborate with product, engineering, and customer success teams to translate conversational analytics into actionable insights. Integrate and analyze data from conversational platforms (e.g., chatbot logs, NLU/NLP systems) to improve intent accuracy, resolution rates, and customer satisfaction. Leverage Generative BI tools to create dynamic, automated reports and data narratives that respond to natural language queries. Partner with enterprise architects to ensure solutions align with broader data architecture and governance principles. Drive automation of recurring reporting tasks and streamline data workflows using scripting and scheduling tools. Monitor AI-driven systems for accuracy, bias, and explainability in outputs—ensuring business users trust the insights provided. Requirements 7+ years of experience designing and developing BI and analytics solutions, including leadership responsibilities. Experience with generative BI platforms (e.g., ThoughtSpot, Tableau Pulse, Microsoft Copilot in Power BI) and natural language query systems. Proven expertise in chatbot analytics, conversational flow optimization, and voice-of-customer data interpretation. Hands-on experience with SQL, scripting languages (Python or R), and data visualization tools (Quicksight, PowerBI, Tableau, Qlik). Solid understanding of data modeling, ETL processes, and data architecture best practices. Ability to translate complex data into clear business recommendations using interactive dashboards and storytelling techniques. Strong stakeholder management and communication skills, with the ability to present insights to both technical and non-technical audiences. Experience leading small, agile teams and working cross-functionally in a fast-paced environment. Nice to Have Familiarity with NLP/NLU systems and how they generate structured data from conversation logs. Experience with customer experience analytics, support automation, or virtual agent performance metrics. Background in AI explainability and building trust in AI-generated insights. Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We are looking for a highly motivated GenAI Engineer with strong hands-on experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and production-ready AI applications. You’ll help design, build, and extend digital products and creative applications that leverage the latest in LLM technologies. You will play a lead role in product development & offering AI services to clients, client onboarding, and delivery of cutting-edge AI solutions, working with a range of modern AI tools, cloud services, and frameworks. Experience: 2 + Years Location: Mohali, Punjab Work Mode: On-site Timings: 10:00 AM – 7:00 PM (Day Shift) Interview Mode: Face-to-Face ( On-Site) Contact: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Key Responsibilities: Design and implement generative AI solutions using large language models (LLMs), natural language processing (NLP), and computer vision. Develop, enhance, and scale digital products leveraging LLMs at their core. Lead product development and operations teams to implement GenAI-based solutions. Design and manage client onboarding, rollout, and adoption strategies. Deliver and maintain enhancements based on client-specific needs. Build and maintain RAG pipelines and LLM-based workflows for enterprise applications. Manage LLMOps processes across the entire AI lifecycle (prompt design, fine-tuning, evaluation). Work with cloud-based GenAI platforms (primarily Azure OpenAI, but also Google, AWS, etc.). Implement API integrations, orchestration, and workflow automation. Evaluate, fine-tune, and monitor performance of LLM outputs using observability tools. Required Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field — or equivalent hands-on experience. Minimum 2 years of hands-on experience in software development or applied machine learning. Programming (preferred): Python, JavaScript. Voice AI: ElevenLabs, Twilio, understanding of ASR (Automatic Speech Recognition) and NLU (Natural Language Understanding). Automation/Integration: n8n (or Make.com, Zapier, Activepieces), API integration (RESTful APIs, Webhooks), JSON. Proficiency in Azure AI services, including: Azure OpenAI (GPT-4, Codex, etc. Azure Machine Learning for model development and deployment Proven experience with LLM APIs (OpenAI, Azure OpenAI, Gemini, Claude, etc.). Solid hands-on experience in building and deploying RAG pipelines. Proficiency in Python and strong knowledge of Python ecosystems and libraries. Familiarity with core GenAI frameworks: LangChain, LangGraph , LlamaIndex, etc. Experience with vector databases: FAISS, Milvus, Azure AI Search, etc. Practical knowledge of embeddings, model registries (e.g., Hugging Face), and LLM APIs. Experience in prompt engineering, tool/function calling, and structured outputs (Pydantic/JSON Schema). Exposure to LLM observability tools: LangSmith, LangFuse , etc. Strong Git, API, and cloud platform (AWS, GCP, Azure) experience. Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per month Schedule: Day shift Monday to Friday Experience: Gen AI Engineer: 2 years (Preferred) Work Location: In person

Head of IT & AI Curriculum – Saviour EduTech (Dehradun) Transform Education | Empower Youth | Lead India’s AI Skilling Revolution Location: Dehradun About Us: At Saviour EduTech , we are on a mission to bring internationally certified, job-ready tech courses to students in Tier 2 and Tier 3 India. Partnered with institutions from Australia, Canada, the UK, and the USA , we deliver global certification programs through a nationwide network of training partners. We are now launching a visionary track in AI Agent Development , where students will learn how to utilise tools such as Make.com, ChatGPT, AgentGPT, AutoGPT, and more, ultimately becoming AI-empowered freelancers and professionals . If you’re an educator, innovator, and futurist—this role is for you. Role Overview: We are hiring a dynamic IT & AI Head of Department (HOD) who will design and deliver next-gen IT/AI courses, train local instructors, and make students job-ready or startup-ready . You will have the chance to co-create India’s first AI Agent Training Curriculum for students from non-metro cities—and change lives at scale . Key Responsibilities: Course Design & AI Innovation Develop and manage short-term international certification courses in: Python, Data Analytics, Web Development AI Agent Creation (AutoGPT, Make.com, Zapier, OpenAI API) No-Code Automation & Freelancing Tools Build India’s first AI Agent & Automation Course designed for Tier 2/3 students Collaborate with our global partners (e.g., Australian institutions) for content validation and certification alignment Train the Trainer Conduct intensive Train-the-Trainer (TTT) programs for faculty in partner institutions Provide teaching resources, assessment plans, and LMS support Create a strong academic community within the franchisee network Student Empowerment Train students to build AI workflows and bots , automate tasks, and launch freelance careers Prepare students for tech jobs through interview readiness , project portfolios , and global certifications Help create job placement pipelines through industry alignment Institutional Strategy Support the founder in scaling course delivery across India Assist in platform development, assessment systems, and feedback loops Stay ahead of tech and AI trends and embed them into the curriculum Eligibility Criteria: Bachelor's/Master’s in Computer Science, AI, IT, or related fields 5+ years of teaching, curriculum development, or edtech experience Must be hands-on with: Python, APIs, ChatGPT, Make.com, Notion AI, and no-code tools LMS platforms, online content tools, Google Suite/Canva Excellent communication skills in English and Hindi Passionate about bridging the skills gap in India and creating societal impact What You’ll Get: Opportunity to lead India’s first AI Agent Training Movement Work with a founder who’s a 25-year veteran of global education Be part of a mission to make global education accessible in small-town India Fixed salary + performance-based bonuses Rapid career growth and opportunity to become National Academic Director How to Apply: Apply with your CV and a short note (200 words) on: “How AI Agents Can Create Jobs in India’s Small Towns” Email to: mitesh@saviourconsultant.com Subject Line: “IT & AI HOD – Ludhiana/Dehradun” Job Type: Full-time Pay: ₹40,000.00 - ₹75,000.00 per month Benefits: Cell phone reimbursement Work Location: In person

JD for Generative AI Specialist JD Junior / Senior Generative AI Specialist Year of experience Junior / Senior 4-6 Years or 6- 8 years Shift : 11AM - 8PM Location : Chennai. Mode : Work From Office Role -The Generative AI specialist should be building GenAI LLM model driven solution using State of the Art Models like ( OpenAI, Gemini, Claude) , Opensource Models ( llama, Mistral). Should have expertise in fine tuning and training models . Should have implemented projects with expertise on Agents, Tools and RAG solutions. Hands on expertise in integrating LLMs with VectorDB like chromadb, faiss, pinecone is required. Expertise in PEFT, Quantization of models is required. Experience in Tensorflow, Pytorch, Python, Hugging Face, Transformers is must. Expert in data preparation, analysis and hands one expertise in Deep Learning model development is preferred. Additional expertise in deploying models in AWS is desired but optional. Skills OpenAI, Gemini, LangChain, Transformers, Hugging Face, Python, Pytorch, Tensorflow, Vectordb( chromadb, faiss, pinecone) Project experience Atleast 1-2 live implementation of Generative AI driven solution implementation. Extensive experience in implementing chatbots, knowledge search and in NLP . Good expertise in implementing Machine learning and deep learning solutions for atleast 2 years. 4th Floor, Techno Park, 10, Rajiv Gandhi Salai, Customs Colony, Sakthi Nagar, Thoraipakkam, Chennai 600097 Skills: rag,nlp,aws,vectordb (chromadb, faiss, pinecone),claude,agents,tensorflow,langchain,chatbots,hugging face,analysis,transformers,python,chromadb,gemini,openai,deep learning,faiss,llms,opensource models,pytorch,genai llm,peft,machine learning,llama,vectordb,mistral,pinecone

Techtinium Technologies is building an intelligent system to optimize workflows, create production plans, and schedule manufacturing operations . Our vision is to enable manufacturing leaders to make faster, smarter decisions through an AI-driven conversational interface that allows users to: Interact via chat to execute commands. Add, Retrieve and Update operational data seamlessly. Derive actionable insights from real-time and historical data. We are looking for a hands-on technical leader who can design, architect, and build this conversational AI system from the ground up. Key Responsibilities System Architecture & Development Design and develop a chat-based interface integrated with manufacturing data sources. Build natural language understanding (NLU) models to interpret user queries and translate them into workflow execution commands, database operations, or insight generation tasks . Conversational AI & Orchestration Implement or integrate with LLMs (OpenAI, Anthropic, fine-tuned domain-specific models) for natural conversation. Develop a domain-specific ontology and prompt-engineering framework for manufacturing terminology. Design a command execution layer that translates chat intents into system actions. Data & Insights Work with the data team to define data models for manufacturing workflows . Build insight generation modules (e.g., “What’s the bottleneck on Line 2?” or “Reschedule this order for earliest completion”). Ensure data security and role-based access control . Collaboration & Leadership Work closely with Product Managers, Manufacturing SMEs, and Data Scientists to define system capabilities. Lead technical decision-making, mentor junior engineers, and ensure best practices. Required Skills & Qualifications Strong programming skills in Python, Node.js, or Java . Experience with conversational AI frameworks (Rasa, LangChain, LlamaIndex, or custom LLM integrations). Proficiency in Database Design and Query Optimisation (PostgreSQL, MongoDB, or manufacturing ERP databases). Familiarity with Operations Research, Scheduling Algorithms, or Optimisation techniques . Experience with cloud-native architectures (AWS, Azure, or GCP). Excellent communication skills – ability to collaborate with both technical and non-technical stakeholders. Self-starter with entrepreneurial mindset ; comfortable in early-stage, fast-moving environments. About Techtinium Techtinium Technologies specializes in transforming innovative ideas into reality with cutting-edge technology solutions. We pride ourselves on building long-lasting partnerships with our clients by delivering custom software solutions tailored to their business needs. Our expertise spans AI, Data Science, Cloud Infrastructure, Mobile and Web Development. We thrive on challenges and have served over 50 global customers, helping them generate over $500M in revenue with our innovative solutions.

Position Type Full time Type Of Hire Experienced (relevant combo of work and education) Education Desired Bachelor of Technology Travel Percentage 0% What you will be doing Consulting & Strategy Assess client needs and identify opportunities for agentic AI integration Develop strategic roadmaps for deploying autonomous AI agents across business functions Educate stakeholders on the capabilities, risks, and ethical considerations of agentic AI Lead end-to-end delivery of RPA and Gen AI projects across BFS clients Strong domain knowledge of BFS processes (e.g., Lending, Deposits, KYC, AML, loan processing, risk management) Collaborate with business stakeholders to gather requirements, define project scope, and translate them into technical specifications Manage cross-functional teams including developers, data scientists, business analysts, and QA Drive project planning, execution, risk management, and stakeholder communication Evaluate and recommend RPA tools (e.g., UiPath, Automation Anywhere) and Gen AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI) Ensure compliance with BFS industry regulations and data privacy standards Monitor KPIs and ROI of automation and AI initiatives Stay updated with emerging trends in AI, RPA, and BFS technologies Solution Design & Implementation Assist in Design of agentic AI architectures using LLMs, multi-agent systems, and tool-augmented reasoning frameworks Collaborate with data scientists, engineers, and product teams to prototype and deploy AI agents Integrate agents with APIs, databases, and enterprise tools to enable real-world action-taking Evaluation & Optimization Define KPIs and evaluation metrics for agent performance Continuously monitor, test, and refine agent behavior to ensure alignment with business goals Stay current with the latest research and tools in agentic AI, LLMs, and autonomous systems What you Bring Bachelor’s or master’s degree in computer science, Information Technology, or related field 10+ years of experience in IT project management, with at least 3–5 years in RPA and/or Gen AI Strong domain knowledge of BFS processes (e.g., KYC, AML, loan processing, risk management) Hands-on experience with RPA tools (UiPath, Blue Prism, Automation Anywhere) Familiarity with Gen AI models and platforms (LLMs, prompt engineering, fine-tuning) Familiarity with APIs, cloud platforms (AWS, Azure, GCP), and data integration pipelines Proven ability to manage large-scale digital transformation projects Excellent communication, stakeholder management, and leadership skills Preferred Qualifications~ Experience integrating AI solutions with legacy BFS systems Exposure to cloud platforms (Azure, AWS, GCP) Understanding of data governance and AI ethics in BFS Experience with autonomous agents in real-world applications (e.g., customer support, research automation, workflow orchestration) Knowledge of reinforcement learning, planning algorithms, or cognitive architectures Understanding of AI safety, alignment, and interpretability challenges Added Bonus If You Have 1-year of customer service experience 1-year experience working in a high-volume call center Excellent customer service skills that build high levels of customer satisfaction What We Offer You A competitive salary with attractive benefits including private medical and dental coverage insurance A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities A modern work environment and a dedicated and motivated team A broad range of professional education and personal development opportunities A work environment built on collaboration and respect Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

We are looking for a highly motivated and curious Generative AI Intern to join our team. This internship is an exciting opportunity to work on cutting-edge AI technologies including language models (like ChatGPT), image generation tools, and more. You will assist in building, testing, and evaluating AI-powered applications and contribute to real-world AI projects. Key Responsibilities: Assist in the development and fine-tuning of generative AI models (text, image, audio, etc.). Support the team in creating prompts, evaluating outputs, and refining model responses. Perform data cleaning, annotation, and preparation for model training. Conduct literature research on the latest AI/ML techniques and tools. Collaborate with cross-functional teams to integrate AI models into products or services. Document experiments, processes, and results in a clear and organized manner. Requirements: Pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Basic understanding of Machine Learning and Natural Language Processing. Familiarity with Python and libraries like TensorFlow, PyTorch, Hugging Face Transformers, etc. Good analytical and problem-solving skills. Enthusiasm to learn and work on generative AI models (LLMs, diffusion models, etc.). Strong communication and teamwork skills. Preferred Qualifications (Bonus): Experience with prompt engineering or building with APIs like OpenAI, Cohere, or Anthropic. Knowledge of deep learning architectures (Transformers, GANs, etc.). Exposure to tools like LangChain, Pinecone, or vector databases. Benefits: Hands-on experience with cutting-edge AI tools and technologies. Mentorship from experienced AI engineers and researchers. Opportunity to work on impactful, real-world projects. Certificate and letter of recommendation upon successful completion. Job Types: Full-time, Permanent, Internship Contract length: 3 months Pay: ₹5,000.00 per month Benefits: Paid sick time Schedule: Day shift Work Location: In person

About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What We Are Looking For We are looking for Generative AI Developer to join our team of innovative and passionate developers who are creating cutting-edge AI solutions for various domains and challenges. What You'll Do Good/Basic understanding of full stack development (Python/ MERN stack) and cloud technologies such as Azure and AWS. (important) DevOPS on cloud and good experience in using services such as Git, Terraform and others. Develop, test, and deploy AI models using state-of-the-art LLMs, Hugging face LLMs and others and libraries such as Llama index, and Lang chain. Create custom AI models to address unique challenges and improve existing processes. Optimize and fine-tune AI models for performance, accuracy, and scalability. Apply knowledge of Retrieval-Augmented Generation (RAG) and related methodologies to develop sophisticated AI solutions. Collaborate with cross-functional teams to understand requirements and deliver AI-powered features and enhancements. Stay abreast of the latest developments in AI, machine learning, and related fields to innovate and improve our offerings continuously. Must Have Bachelor's degree or higher in Computer Science, Engineering, or related field. 4+years of experience in AI development, with a strong focus on generative models, NLP, and image processing. Proficient in Python and other programming languages for AI development. Solid understanding of machine learning concepts, data processing, feature extraction, text summarization, and image processing techniques Familiarity with Retrieval-Augmented Generation (RAG) and other cutting-edge AI processes. Proven experience with OpenAI models, including but not limited to GPT (Generative Pre-trained Transformer), and the ability to develop custom models. Experience in working with large-scale datasets and cloud platforms. Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. Strong communication skills and the ability to work collaboratively with a diverse team. Skills: generative ai,retrieval-augmented generation (rag),hugging face llms,llama,devops,machine learning concepts,state-of-the-art llms,langchain,llama index,large language model,llm,feature extraction,mern stack,data processing,generative ai development,azure,nlp,backend,rag architecture,python,full stack development,javascript frameworks,lang chain,git,text summarization,open ai,cloud technologies,terraform,react,java,image processing,aws

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale. Responsibilities: Leadership & Management Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment; Drive the roadmap for machine learning projects aligned with business goals; Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery. Machine Learning & LLM Expertise Design, develop, and fine-tune LLMs and other machine learning models to solve business problems; Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction; Stay ahead of advancements in LLMs and apply emerging technologies; Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML. AWS Cloud Expertise Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.); Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS; Ensure best practices in security, monitoring, and compliance within the cloud infrastructure. Technical Execution Oversee the entire ML lifecycle, from research and experimentation to production and maintenance; Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows; Debug, troubleshoot, and optimize production ML models for performance. Team Development & Communication Conduct regular code reviews and ensure engineering standards are upheld; Facilitate professional growth and learning for the team through continuous feedback and guidance; Communicate progress, challenges, and solutions to stakeholders and senior leadership. Qualifications: Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models); Strong expertise in AWS Cloud Services; Strong experience in ML/AI, including at least 2 years in a leadership role; Hands-on experience with Python, TensorFlow/PyTorch, and model optimization; Familiarity with MLOps tools and best practices; Excellent problem-solving and decision-making abilities; Strong communication skills and the ability to lead cross-functional teams; Passion for mentoring and developing engineers; Familiarity with Amazon Bedrock would be considered a significant plus.

About CoPoint AI CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement and data insights. We have two main technical offerings: We accelerate enterprise AI adoption through our comprehensive AI Accelerator program, establish tailored AI Foundations for all stakeholders, and leverage our innovative RAD Lab to deliver AI-powered development that reduces time by up to 50%. We help organizations unlock their data's full potential through strategic roadmaps, analytics platforms that deliver actionable insights, and machine learning capabilities that predict market trends and customer behaviors. Our Vision We transform businesses through process improvement and data insights leveraging AI tools. Our Values Be Purposeful : Think Straight, Communicate, Always Do the Right Thing In Partnership : With our Team, For Our Clients, In Our Communities Create Impact : Deliver Value-Based Solutions, Help Individuals Achieve Their Dreams, Demand Profitable Growth Senior Analyst Role Overview: The Senior Analyst at CoPoint AI plays a key role in executing data projects and developing client solutions. With growing technical capabilities, Senior Analysts begin taking ownership of specific project components while expanding their expertise in Microsoft data technologies and AI driven software development and data analysis. Responsibilities: Analyze client data requirements and contribute to solution design Develop data models, reports, and dashboards using Microsoft technologies Implement AI-enhanced data analysis leveraging leading edge AI tools Configure and utilize AI-assisted development tools to accelerate solution delivery Build and fine-tune basic machine learning models for business insights Apply prompt engineering techniques for generative AI solutions Conduct detailed data analysis and present findings to project teams Take ownership of specific deliverables within larger project frameworks Collaborate with cross-functional teams to implement data solutions Begin mentoring junior team members and sharing technical knowledge Participate in client-facing activities with increasing independence Qualifications: 1+ year of relevant experience in data analysis or consulting Proficiency with Microsoft data stack (SQL, Power BI, Azure) Experience with data cleansing, transformation, and visualization Working knowledge of Azure OpenAI Service or Cognitive Services Practical experience with AI coding assistants (GitHub Copilot, Azure AI Studio, AI Driven IDEs, etc.) Familiarity with machine learning concepts and model deployment Understanding of AI model evaluation and performance metrics Understanding of basic data modeling concepts Ability to translate business requirements into technical solutions Strong problem-solving skills and attention to detail Excellent written and verbal communication abilities

We are seeking a skilled Python Developer with experience in developing applications that utilize Generative AI (GenAI) capabilities and deep integration with Microsoft Azure services. The ideal candidate should have a strong foundation in Python, experience with GenAI libraries or APIs (like OpenAI, Azure OpenAI, LangChain, etc.), and the ability to build, deploy, and manage AI-powered solutions in the Azure ecosystem. Qualifications Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science, or a related field(or equivalent practical experience in Python and AI application development) Job Location

We're Hiring: Machine Learning Engineer Location: Gurugram (Hybrid) Industry: Mobile Gaming | Real Money Gaming | AI-Powered Entertainment Experience: 2–3 Years Join Games Pro India Pvt. Ltd. and help build cutting-edge AI systems and LLM-native infrastructure for the future of gaming. Key Responsibilities: Build and maintain LLM-powered pipelines for entity extraction, ontology normalization, Q&A, and knowledge graph creation using tools like LangChain, LangGraph, and CrewAI . Fine-tune and deploy open-source LLMs (e.g., LLaMA, Gemma, DeepSeek, Mistral ) for real-time gaming applications. Define evaluation frameworks to assess accuracy, efficiency, hallucinations , and long-term performance; integrate human-in-the-loop feedback. Collaborate cross-functionally with data scientists, game developers, product teams , and curators to build impactful AI solutions. Stay current with the LLM ecosystem and drive adoption of cutting-edge tools, models, and methods. Qualifications: 2–3 years of experience as an ML engineer, data scientist, or data engineer working on NLP or information extraction. Strong Python programming skills and experience building production-ready codebases . Hands-on experience with LLM frameworks/tooling such as LangChain, Hugging Face, OpenAI APIs, Transformers . Familiarity with one or more LLM families (e.g., LLaMA, Mistral, DeepSeek, Gemma) and prompt engineering best practices . Strong grasp of ML/DL fundamentals and experience with tools like PyTorch or TensorFlow . Ability to communicate ideas clearly , iterate quickly, and thrive in a fast-paced, product- Interested candidate must share their resume on shruti.sharma@gamespro.in contact no- 8076 310 357 #Hiring #MachineLearning #LLM #AIinGaming #LangChain #HuggingFace #GamingJobs #MLJobs #GamesProIndia #TechCareers #GurugramJobs #DeepLearning #PythonJobs Job Type: Full-time Pay: ₹600,000.00 - ₹1,000,000.00 per year Schedule: Day shift Work Location: In person

About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What we are looking for: We are looking for Generative AI Developer to join our team of innovative and passionate developers who are creating cutting-edge AI solutions for various domains and challenges. What you'll do: • Good/Basic understanding of full stack development (Python/ MERN stack) and cloud technologies such as Azure and AWS. (important) • DevOPS on cloud and good experience in using services such as Git, Terraform and others. • Develop, test, and deploy AI models using state-of-the-art LLMs, Hugging face LLMs and others and libraries such as Llama index, and Lang chain. • Create custom AI models to address unique challenges and improve existing processes. • Optimize and fine-tune AI models for performance, accuracy, and scalability. • Apply knowledge of Retrieval-Augmented Generation (RAG) and related methodologies to develop sophisticated AI solutions. • Collaborate with cross-functional teams to understand requirements and deliver AI-powered features and enhancements. • Stay abreast of the latest developments in AI, machine learning, and related fields to innovate and improve our offerings continuously. Must have: • Bachelor's degree or higher in Computer Science, Engineering, or related field. • 4+years of experience in AI development, with a strong focus on generative models, NLP, and image processing. • Proficient in Python and other programming languages for AI development. • Solid understanding of machine learning concepts, data processing, feature extraction, text summarization, and image processing techniques • Familiarity with Retrieval-Augmented Generation (RAG) and other cutting-edge AI processes. • Proven experience with OpenAI models, including but not limited to GPT (Generative Pre-trained Transformer), and the ability to develop custom models. • Experience in working with large-scale datasets and cloud platforms. • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Strong communication skills and the ability to work collaboratively with a diverse team.

Webs Optimization Software Solution (www.websoptimization.com/) , Ahmedabad is hiring for Highly Enthusiastic & Motivated Full Stack Developer Job Designation: Full Stack Developer (Node +React js) Job Location: Ahmadabad, Gujarat [WFO Only] Work Experience: 2 - 3 Years Working Days: 5 Days About Our Company: Webs Optimization Software Solution, established in 2013 and based in Sola, S.G. Highway, Ahmedabad, is a leading technology solutions provider. Our team of over 80+ skilled professionals specializes in custom web and mobile app development. We deliver innovative, tailored solutions across various industries, ensuring excellence and customer satisfaction. JOB DESCRIPTION: Enterprise-Level Development: Design, develop, and deploy full-stack web applications for enterprise systems, gaming platforms, and social media applications. Backend Development: Build and maintain scalable backend services using Node.js, Next.js, Nest.js, and related frameworks. Frontend Development: Create dynamic and responsive user interfaces using React.js . Familiarity with Next.js and Vue.js is a plus. Third-Party Integrations: Integrate APIs, payment gateways, cloud services, and social media platforms effectively. Database Management: Design, optimize, and manage both relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases for large-scale data handling. Cloud Infrastructure: Deploy and manage applications on AWS (e.g., EC2, S3, Lambda, RDS) for scalable and reliable performance. Containerization: Use Docker for application containerization and ensure smooth deployment across environments. Team Leadership & Communication: Lead development teams, mentor junior developers, and maintain clear communication with clients to gather requirements and ensure delivery satisfaction. Performance Optimization: Improve application speed, scalability, and security to ensure high availability and excellent user experience. Agile Collaboration: Work in Agile teams, participating in sprint planning, reviews, and delivering consistent, high-quality results. AI Integration: Collaborate on AI features such as chatbots, recommendation systems, sentiment analysis, or content generation using tools like OpenAI, AWS AI/ML, or Google Cloud AI. Required Skills & Experience Node.js: 2+ years of hands-on experience with scalable backend development. React.js & Next.js: Strong expertise in building modern frontends, including SSR and SSG. Database Expertise: Solid experience with PostgreSQL, MySQL, and MongoDB, including schema design and performance tuning. Cloud Platforms: Proficient in AWS services (EC2, S3, Lambda, RDS) for hosting and scaling applications. Docker: Deep understanding of containerization with Docker; familiarity with orchestration tools like Kubernetes. AI Tooling: Exposure to AI platforms such as OpenAI, Google Cloud AI, or similar tools. Why Join Webs Optimization Software Solution? Working Days: 5 days a week Company History: Incorporated since 2013 Team: An ever-growing team of 80+ highly talented professionals Work Schedule: Flexible working hours Health Benefits: Medical insurance Work Culture: Positive atmosphere and culture promoting personal growth Job Satisfaction: Job satisfaction and stability with a suitable leave policy Company Activities: Fun company activities Benefit of WFH Policy Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹60,000.00 per month Benefits: Flexible schedule Health insurance Leave encashment Life insurance Work Location: In person

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Head of AI Enablement to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Responsibilities: Identify all engineering processes suitable for AI automation (requirements, design, coding, testing, deployment) Deploy OpenAI Codex, ChatGPT Enterprise, Claude, OpenRouter, and RAG-based toolchains into daily dev workflows Collaborate with DevOps and Head of SaaS to automate onboarding, support, and configuration steps Partner with Internal Auditor to measure performance uplift and automation ROI Build AI-first internal apps: prompt libraries, RAG knowledge bots, test generators, doc writers Provide technical leadership on AI/LLM integration: APIs, inference cost, prompt engineering Educate engineering leaders on AI-first delivery models and productivity playbooks 5+ years in AI/ML engineering or Dev Tooling (AI-focused) Experience deploying AI/LLM agents into real-world product/dev orgs Strong understanding of LangChain, OpenRouter, RAG pipelines, OpenWebUI Experience from AI-native companies like Replit, Notion, OpenAI, HuggingFace, Retool Capable of owning AI adoption strategy and executing hands-on

Location: Remote (India-based preferred) Team Collaboration: Work closely with the tech team based in Bangalore Engagement: Part-time to Full-time Transition Compensation: Significant Equity + Lean Salary (until funding) Timeline: 3–6 Month Probation → Co-Founder Elevation → CTO About SeoByte.ai SeoByte.ai is a new AI-first SEO venture under ThinkByte.ai , focused on reimagining how businesses scale through search. We’re combining AI agents with SEO expertise to build tools that deliver results—not just reports. We currently offer Human+AI SEO services to startups, SMBs, and agencies, and have already built the first version of our AI-powered SEO SaaS platform (now in closed beta). We're looking for a tech co-founder to take this foundation and evolve it into a scalable, product-first business. Why This Role Matters You're stepping in as a builder and technical leader with equity from Day 1 You’ll work closely with an existing tech team in Bangalore to improve and expand the platform You'll have the opportunity to shape the core architecture , build scalable systems, and grow into the CTO role as the company raises capital and expands What You'll Own 🛠️ Product & Engineering Drive development of V1 → V2 and subsequent versions of our AI SEO platform Architect AI workflows (RAG, content agents, optimization layers) for full SEO automation Integrate AI models, APIs, and third-party tools to optimize performance Build for scale: multitenancy, analytics, dashboards, onboarding, etc. 🚀 Leadership & Strategy Collaborate with the founding team on product and go-to-market direction Lead future hiring, code quality, and dev processes Work with early customers to gather feedback and iterate rapidly Contribute to investor discussions and fundraising narrative as technical co-founder You Might Be a Fit If You Have: Proven full-stack experience (SaaS product background preferred) Familiarity with AI/LLM workflows (OpenAI, LangChain, Pinecone, vector DBs, etc.) Strong fundamentals in system design, API architecture, backend frameworks, and scalable infrastructure Experience shipping MVPs and iterating in fast-moving startup environments Based in India (preferred) and excited to build remotely with a Bangalore-based dev team Bonus: Past experience with growth tools, marketing tech, or SEO platforms What You'll Get Co-founder equity with vesting from Day 1 (standard 4-year schedule) Early access to customer feedback and real usage data Support from a team that’s already executing and generating results The chance to own and shape a product in one of the most rapidly evolving AI markets Backing from ThinkByte.ai , an AI-first growth company with deep domain knowledge

Company Description Blinkit-AI is your all-in-one AI assistant for seamless, high-quality content creation and automation. Whether you're generating text, articles, images, videos, voiceovers, or chatbots, our platform integrates top-tier AI models—including GPT, Gemini, Claude, Deepseek, Grok, Serper, Perplexity, DALL-E, Stable Diffusion, Flux, Google Veo2, Luma, Kling, Minimax, OpenAI, ElevenLabs, Azure, and more—all in one place. Engage in real-time, natural, and intelligent AI conversations for discussions, brainstorming, advanced research, and learning. Blinkit AI empowers you with cutting-edge tools to enhance productivity, unlock creativity, and scale your content strategy effortlessly. Experience the future of AI-driven content creation—smarter, faster, and more efficient than ever before! Try it today- https://blinkit-ai.com Role Description Content Creation / Writer We are looking for creative and enthusiastic Content Creator for our social media platforms. Should have a flair for generating fresh, engaging content ideas from concept to shoot, edit, and upload. Department: Content, Editorial & Journalism Employment Type: Full Time, Permanent Role Category: Content Management (Print / Online / Electronic) Salary : 20,000 to 30,000 /mo Education : There is no bar Location : Noida

Location: On-Site Job Type: Full-Time Qualification: Bachelor’s in CS/IT or a related field Key Skills Required: React, Next.js, TypeScript, Tailwind CSS Node.js, NestJS, PostgreSQL CMS: WordPress, Shopify, Webflow, Wix REST & GraphQL APIs, GitHub, Docker Experience with OpenAI / ChatGPT or other AI tools Excellent English communication skills (client meetings required) Strong team leadership and project management abilities Role Highlights: Lead and mentor developers and designers Handle live client meetings and scope projects Manage CMS-based and AI-driven web projects Ensure timely delivery and maintain high code quality Important – Please Read Before Applying: Apply only if you meet all the following core requirements: ✔ Minimum 5 years of experience ✔ Strong communication and client-handling skills ✔ Full-stack expertise in React, Node.js, PostgreSQL ✔ CMS experience in at least 3 platforms (WordPress, Shopify, Webflow, Wix) ✔ Willingness to take ownership of both delivery and business growth Please do not apply if you're not confident in client interactions or lack the required tech stack and CMS expertise. Job Type: Full-time Pay: ₹35,000.00 - ₹45,000.00 per month Benefits: Provident Fund Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Education: Master's (Preferred) Language: English (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

Key Responsibilities: Technical Leadership Drive architecture, design, and implementation of scalable and resilient systems. Provide hands-on guidance in system design, code quality, performance, and security. Collaborate with architects, ML engineers, and product managers to build AI-integrated solutions. Evaluate and recommend technologies, frameworks, and tools aligned with our tech strategy. Team & People Management Lead, mentor, and grow a cross-functional team of backend engineers, frontend developers, QA, and DevOps. Conduct 1:1s, performance reviews, and growth planning to foster talent and accountability. Maintain high standards of engineering excellence through reviews, feedback, and coaching. Product Execution & Delivery Own sprint planning, delivery commitments, and engineering KPIs (velocity, quality, SLAs). Align engineering execution with business goals, product roadmaps, and timelines. Track and mitigate technical risks, dependencies, and blockers across the product lifecycle. Cross-functional Collaboration Work closely with Product, Design, ML, QA, and DevOps teams to ensure smooth delivery. Translate product requirements into detailed technical plans and delivery roadmaps. Be the technical face of engineering in stakeholder meetings and leadership reviews. Process, Quality & DevOps Champion engineering best practices (TDD, CI/CD, IaC, code reviews, observability). Ensure operational excellence via automation, monitoring, alerting, and postmortems. Own system SLAs, incident management, and reliability goals. You’ll Be a Great Fit If You Have Must-Have Qualifications 10+ years of total software engineering experience with at least 3 years in a leadership role. Strong hands-on background in backend engineering (Java, Node.js, Python, etc.) and cloud-native architectures (AWS/Azure/GCP). Lead the technical design and development of solutions that integrate with SAP (S/4HANA, ECC, BTP, or APIs) and enterprise platforms. Experience leading and scaling engineering teams working on high-performance, distributed systems. Exposure to DevOps practices including CI/CD, Docker, Kubernetes, infrastructure-as-code (e.g., Terraform). Familiarity with software quality metrics, test automation, code coverage, and agile delivery. Experience managing AI/ML-based or data-intensive products (or eagerness to build in this space). Preferred Qualifications Prior experience building or managing AI/GenAI-integrated applications or tools (OpenAI, LangChain, vector databases, embeddings). Experience with MLOps, model lifecycle, or integrating LLMs into real-world applications. Exposure to front-end and full-stack delivery is a plus (React, Angular, etc.). Startup or scale-up experience with a bias for fast, iterative product delivery. Skills: ml,ai/ml,ci/cd,kubernetes,devops practices,java,code,azure,cd,software quality metrics,ci,python,backend engineering,engineers,infrastructure-as-code,devops,agile delivery,aws,cloud-native architectures,node.js,terraform,docker,test automation,gcp

Job Title: Senior Manager – Analyst Relations & Digital Strategy (AI/GenAI) Location: Gurgaon/Noida- Hybrid Experience: 10+ Years Employment Type: Full-time This role will play a pivotal part in showcasing our digital transformation capabilities and differentiating our positioning in AI/GenAI across analyst platforms such as Gartner, Everest, ISG, and Forrester. Qualifications: Education: Bachelor’s degree in engineering, Business, or related field; MBA preferred. Experience: Minimum 10 years of experience in analyst relations, strategic marketing, or digital transformation roles in the IT or consulting industry. Strong understanding of digital, AI, and GenAI technologies and their application across industries. Experience in handling top-tier analyst firms such as Gartner, Everest, ISG, Forrester , etc. Exceptional storytelling, communication, and content development skills . Proven ability to manage multiple stakeholders , work in a matrixed organization, and drive cross-functional collaboration. Preferred Skills: Knowledge of platforms like Salesforce, Azure OpenAI, AWS AI/ML, or similar ecosystems. Exposure to industry domains such as BFSI, Healthcare, Insurance, or Retail. Knowledge on revenue forecast and projections

Key Responsibilities: Strong problem-solving skills Generative AI ( Lang chain, Open AI) Advance level of python and JavaScript Python libraries like Fast API , pytest Git React JS (good to have) Docker, Kubernetes Basic Linux commands Familiar with Azure/GCP Requirement : -Need some knowledge of genAI - past 1-2 projects -Need to have strong python, they need to know how to deploy the APIs into Kubernetes and have strong hands on docker experience -Manage application on Kubernetes, ensure high scalability and availability. -Experience in typescript (they will be developing extensions written in typescript) -Design develop and deploy scalable python APIs -Once deployed, need to debug that issue in the endpoints. -Knowledge on LLM models.

We are seeking a cross-functional expert at the intersection of Product, Engineering, and Machine Learning to lead and build cutting-edge AI systems. This role combines the strategic vision of a Product Manager with the technical expertise of a Machine Learning Engineer and the innovation mindset of a Generative AI and LLM expert. You will help define, design, and deploy AI-powered features , train and fine-tune models (including LLMs), and architect intelligent AI agents that solve real-world problems at scale. 🎯 Key Responsibilities 🧩 Product Management: Define product vision, roadmap, and AI use cases aligned with business goals. Collaborate with cross-functional teams (engineering, research, design, business) to deliver AI-driven features. Translate ambiguous problem statements into clear, prioritized product requirements. ⚙️ AI/ML Engineering & Model Development Develop, fine-tune, and optimize ML models, including LLMs (GPT, Claude, Mistral, etc.). Build pipelines for data preprocessing, model training, evaluation, and deployment. Implement scalable ML solutions using frameworks like PyTorch , TensorFlow , Hugging Face , LangChain , etc. Contribute to R&D for cutting-edge models in GenAI (text, vision, code, multimodal). 🤖 AI Agents & LLM Tooling Design and implement autonomous or semi-autonomous AI Agents using tools like AutoGen , LangGraph , CrewAI , etc. Integrate external APIs, vector databases (e.g., Pinecone, Weaviate, ChromaDB), and retrieval-augmented generation (RAG). Continuously monitor, test, and improve LLM behavior, safety, and output quality. 📊 Data Science & Analytics Explore and analyze large datasets to generate insights and inform model development. Conduct A/B testing, model evaluation (e.g., F1, BLEU, perplexity), and error analysis. Work with structured, unstructured, and multimodal data (text, audio, image, etc.). 🧰 Preferred Tech Stack / Tools Languages: Python, SQL, optionally Rust or TypeScript Frameworks: PyTorch, Hugging Face Transformers, LangChain, Ray, FastAPI Platforms: AWS, Azure, GCP, Vertex AI, Sagemaker ML Ops: MLflow, Weights & Biases, DVC, Kubeflow Data: Pandas, NumPy, Spark, Airflow, Databricks Vector DBs: Pinecone, Weaviate, FAISS Model APIs: OpenAI, Anthropic, Google Gemini, Cohere, Mistral Tools: Git, Docker, Kubernetes, REST, GraphQL 🧑‍💼 Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Machine Learning, or a related field. 10+ years of experience in core ML, AI, or Data Science roles. Proven experience building and shipping AI/ML products. Deep understanding of LLM architectures, transformers, embeddings, prompt engineering, and evaluation. Strong product thinking and ability to work closely with both technical and non-technical stakeholders. Familiarity with GenAI safety, explainability, hallucination reduction, and prompt testing, computer vision 🌟 Bonus Skills Experience with autonomous agents and multi-agent orchestration. Open-source contributions to ML/AI projects. Prior Startup Or High-growth Tech Company Experience. Knowledge of reinforcement learning, diffusion models, or multimodal AI. Skills: text,claude,vision,hugging face transformers,sagemaker,hallucination reduction,langchain,genai safety,machine learning,data science & analytics,transformers,crewai,gcp,open-source contributions to ml/ai projects,startup,chromadb,graphql,pipelines,diffusion models,llm architectures,prompt engineering,gpt,weaviate,cohere,structured, unstructured, and multimodal data,docker,autogen,ai/ml products,model development,git,ai use,a/b testing,core ml,code,ai/ml engineering & model development,vertex ai,architect intelligent ai agents,tensorflow,bleu,ai-driven features,error analysis,roadmap,typescript,retrieval-augmented generation (rag),model training,multimodal ai,weights & biases,image,generative ai,hugging face,ray,f1,explore and analyze large datasets,spark,kubernetes,data science,product management,autonomous agents,mlflow,multimodal,ai,rest,google gemini,model evaluation,computer vision,mistral,vector databases,sql,engineering,airflow,output quality,pinecone,langgraph,reinforcement learning,pandas,llms,rust,ai-powered features,fastapi,multi-agent orchestration,embeddings,python,aws,ml models,kubeflow,pytorch,azure,dvc,openai,faiss,databricks,audio,ai engineering,numpy,anthropic,define product vision

Responsibilities: * Design, develop, test & maintain Python apps using FastAPI, Django REST API, PostgreSQL/Supabase. * Collaborate with cross-functional teams on automation projects with OpenAI, AWS & Redis. Work from home