658 Mistral Jobs - Page 18

Job Description We are seeking a skilled and experienced Platform Engineer/Architect to lead the setup, advancement and maintenance of a robust on-premise environment for hosting open-source large language models. This role involves designing and implementing scalable, secure, and efficient infrastructure solutions that cater to the specific needs of large-scale AI models. How You Will Contribute And What You Will Learn Design and architect a scalable and secure on-premise hosting environment for large language models. Develop and implement infrastructure automation tools for efficient management and deployment. Ensure high availability and disaster recovery capabilities. Optimize the hosting environment for maximum performance and efficiency. Implement monitoring tools to track system performance and resource utilization. Regularly update the infrastructure to incorporate the latest technological advancements. Establish robust security protocols to protect sensitive data and model integrity. Ensure compliance with data protection regulations and industry standards. Conduct regular security audits and vulnerability assessments. Work closely with AI/ML teams to understand their requirements and provide suitable infrastructure solutions. Provide technical guidance and support to internal teams and stakeholders. Stay abreast of emerging trends in AI infrastructure and large language model hosting. Manage physical and virtual resources to ensure optimal allocation and utilization. Forecast resource needs and plan for future expansion and upgrades Key Skills And Experience Bachelor's or Master's degree in Computer Science, Information Technology, or a related field with 7-12 years of experience. Proven experience in infrastructure architecture, with exposure to AI/ML environments. Experience with inferencing frameworks like TGI, TEI, Lorax, S-Lora etc. Experience with training frameworks like PyTorch, TensorFlow etc. Proven experience with On-premises OSS models – Llama3, Mistral etc. Strong knowledge of networking, storage, and computing technologies. Experience of working with container orchestration tools (e.g., Kubernetes - Redhat OS). Proficient programming skills in Python Familiarity with open-source large language models and their hosting requirements. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. About Us Come create the technology that helps the world act together Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world. We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work What we offer Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered. Nokia is committed to inclusion and is an equal opportunity employer Nokia has received the following recognitions for its commitment to inclusion & equality: One of the World’s Most Ethical Companies by Ethisphere Gender-Equality Index by Bloomberg Workplace Pride Global Benchmark At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect. Join us and be part of a company where you will feel included and empowered to succeed. About The Team Strategy and Technology lays the path for Nokia’s future technology innovation and identifies the most promising areas for Nokia to create new value. We set the company’s strategy and technology vision, offer an unparalleled research foundation for innovation, and provide critical support infrastructure for Nokia. Show more Show less

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 1118 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Job Description We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. Natural Abilities • Smart, self-motivated, responsible and out of the box thinker. • Detail oriented and powerful analyzer. • Great writing communication skills. Requirements • 5+ years of total software development experience with a strong foundation in Python. • 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment. • Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc • Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search. • Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma). • Exposure to agent frameworks and multi-agent orchestration. • Excellent written and verbal communication skills • Proven ability to lead and mentor team members on technical and architectural decisions. Responsibilities • Lead the design and development of GenAI/LLM-based products and solutions. • Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques. • Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows. • Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc • Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents. • Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends. • Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals. Show more Show less

🚀 Job Title: AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

About Praella: We are a proud Great Place to Work certified organization. We strive for excellence, and we chase perfection for our merchants and team. We build relationships with our merchants that are not reflective of a vendor-like or even a partner-like relationship. We strive to become an extension of who our merchants are. And we strive to become a reflection of our team as an organization. We are also a Webby-winning agency. We are a Shopify Plus partner. We are grateful to be an extension of some of the best e-commerce brands. We are a merchant-first, results-driven team. We have the nothing is impossible mentality. We work together and support each other and our clients. Collaboration and camaraderie are everything. We are data-driven, ambitious, and creative - we work hard, and we work smart. - Our founders started one of the first Shopify Plus agencies, which was eventually sold. - We are Shopify Plus Partners and partner with other e-commerce leaders like ReCharge, Klaviyo, Omnisend, Yotpo, Smile, etc. - We have a remote team, but our headquarters is in Chicago. We have a small team in Chicago. Outside of Chicago, we have teams located in Atlanta, Los Angeles, Phoenix, New York, Toronto, Athens (Greece), Sarajevo (Bosnia), and Surat (India). - Do you want to work from Europe or India for a month and travel to nearby destinations on long weekends? Why not? - Majority of our clients are e-commerce-based merchants with annual revenue between $2M-$350MM. We are ambitious. And, we want you to be too. We need people that want to be pushed and who want to be challenged. We want people who will push us and who will challenge us. Is that you? Our Website : http://praella.com/ Job Description of AI Engineer Praella is looking for an experienced AI Engineer for which the required details are mentioned below. Objectives of this Role: As an AI Engineer (Model Development & Deployment), you will be the core driver in transforming product and business concepts into impactful, data-driven AI applications. Your role will bridge the gap between innovative ideas and tangible AI solutions, encompassing the entire lifecycle from model development to real-world deployment. You will be instrumental in ensuring that AI initiatives deliver significant value and are seamlessly integrated into our products. About the Role: Lead AI Development: Translate product and business ideas into well-defined AI/ML problem statements and robust model architectures. Innovate and Build: Develop custom AI/ML models from scratch and fine-tune existing architectures (LLMs, transformers, CNNs, etc.) to address specific challenges. Data Mastery: Collect, clean, analyze, and structure diverse data sets for effective model training and evaluation. Deploy and Optimize: Build scalable AI services/APIs and deploy optimized models into production environments, ensuring performance and reliability. Communicate and Educate: Collaborate with stakeholders and product teams to explain AI concepts, potential, and integration strategies. Drive AI Innovation: Stay at the forefront of AI advancements, contributing to brainstorming sessions and fostering an AI-first approach in product development. What you can bring to the table: You are passionate about AI and eager to apply your expertise to create real-world impact. While comprehensive knowledge is valuable, a strong learning aptitude will ensure rapid growth within our dynamic environment. Skills: Strong programming skills in Python with proficiency in TensorFlow, PyTorch, or similar frameworks. Solid understanding of various AI/ML model architectures (LLMs, NLP, CV, classification/regression). Experience with end-to-end AI system development, from data ingestion to model serving. Familiarity with tools like Docker, FastAPI, Hugging Face, LangChain, or related ecosystems. Strong data analysis and problem-solving abilities. Excellent communication skills, capable of explaining complex technical concepts to non-technical audiences. Ability to work effectively in a collaborative, fast-paced environment. Strong organizational skills and attention to detail. Strong analytics skills with focus on data mining, dashboard outlining. Ability to manage multiple tasks and meet deadlines. Proficient in project coordination and reporting. Excellent written and verbal communication skills in English. Strong time management and multitasking skills. Work Experience : 3–5 years of hands-on experience in AI/ML model development, training, and deployment. Qualification : Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Location: Surat, Gujarat Nice to Have: Experience with open-source LLMs like Mistral, LLaMA, Falcon, and fine-tuning techniques (LoRA/QLoRA). Prior experience with Chatbot applications, Recommender Systems, or Predictive Analytics. Familiarity with cloud platforms (AWS/GCP/Azure) for AI model deployment. Life At Praella Private Limited Benefits and Perks 5 days working Fully Paid Basic Life/ Competitive salary Vibrant Workplace PTO/Paid Offs/Annual Paid Leaves/Paternal Leaves Fully Paid Health Insurance. Quarterly Incentives Rewards & Recognitions Team Outings Our Cultural Attributes Growth mindset People come first Customer obsessed Diverse & inclusive Exceptional quality Push the envelope Learn and grow Equal opportunity to grow. Ownership Transparency Team Work. Together, we can…!!!! Show more Show less

Job Overview We are seeking a visionary and hands-on GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions in the Insurance domain. This role is pivotal in shaping our AI strategy, building innovative offerings, and driving client success through impactful PoCs and solutions. The architect will work closely with the Leadership team at BlitzenX to define the AI roadmap, lead a team of engineers and architects, and represent the company in client engagements and industry forums. Key Responsibilities Architect and lead the development of GenAI and Agentic AI solutions tailored for Insurance use cases. Collaborate with the BlitzenX Leaders to define AI strategy, solution blueprints, and innovation roadmaps. Design and Build scalable PoCs, MVPs, and production-grade solutions using state-of-the-art GenAI tools and frameworks. Lead and mentor a team of engineers and architects, fostering a culture of innovation, quality, and continuous learning. Engage with Clients to present PoVs, conduct workshops, and articulate the value of GenAI solutions with compelling storytelling and technical depth. Ensure Engineering Excellence by applying best practices in TDD, BDD, DevSecOps, and microservices architecture. Required Skills & Experience AI/ML & GenAI Expertise Proven hands-on experience with: LLMs (e.g., OpenAI, Claude, Mistral, LLaMA, Gemini) GenAI frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel Agentic AI tools: Google Agentspace, ADK, LangGraph, AutoGen, CrewAI, MetaGPT, AutoGPT, OpenAgents Vector databases: Vertex AI, FAISS, Weaviate, Pinecone, Chroma Prompt engineering, RAG pipelines, fine-tuning, and orchestration Engineering & Architecture Strong background in: Java Spring Boot, REST APIs, Microservices Cloud platforms: AWS, Azure, or GCP CI/CD, DevSecOps, TDD/BDD Containerization (Docker, Kubernetes) Leadership & Communication Exceptional storytelling and articulation skills to convey complex AI concepts to technical and non-technical audiences. Experience in client-facing roles, including workshops, demos, and executive presentations. Ability to lead cross-functional teams and drive innovation in a fast-paced environment. Preferred Qualifications Bachelor's or Master's degree in Computer Science, AI/ML, or related field Certifications in AI/ML and Cloud (GCP or Azure) will be an advantage Experience in the Insurance domain and more specifically in the P&C space is a strong plus Why Join Us? Be at the forefront of AI innovation in Insurance Work with a visionary leadership team Build solutions that impact BlitzenX's Insurance Clients Enjoy a collaborative, inclusive, and growth-oriented culture Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview: We’re looking for a Generative AI Engineer to join our client’s team and build intelligent systems powered by large language models and other generative AI architectures. This role involves developing and deploying LLM-based features, integrating vector search, fine-tuning models, and collaborating with product and engineering teams to ship robust, scalable GenAI applications. You’ll work across the GenAI stack — from prompt design to inference optimization — and shape how generative models are used in real-world products. Responsibilities: Fine-tune and deploy LLMs (e.g., GPT, LLaMA, Mistral) using frameworks like Hugging Face Transformers or LangChain Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Pinecone, FAISS) Engineer prompts for structured, reliable outputs across use cases (chatbots, summarization, coding copilots, etc.) Implement scalable inference pipelines and optimize latency, throughput, and cost using techniques like quantization or model distillation Collaborate with product, design, and frontend teams to integrate GenAI into user-facing features Monitor, evaluate, and continuously improve model performance, safety, and accuracy in production Ensure compliance with privacy, safety, and responsible AI practices (e.g., content filtering, output sanitization) Required Skills: Strong programming skills in Python, with familiarity in modern ML tooling Practical experience with LLM frameworks (e.g., Hugging Face Transformers, LangChain, LlamaIndex) Experience building or deploying RAG pipelines, including handling embeddings and vector search Understanding of transformer models, prompt engineering, and tokenization strategies Hands-on with APIs (OpenAI, Anthropic, Cohere, etc.) and model serving (FastAPI, Flask, etc.) Experience deploying ML models using Docker, Kubernetes, and/or cloud services (AWS/GCP/Azure) Comfortable with model evaluation, monitoring, and troubleshooting inference pipelines Nice to Have: Experience with multimodal models (e.g., diffusion models, TTS, image/video generation) Knowledge of RLHF, safety alignment, or model fine-tuning best practices Familiarity with open-source LLMs (e.g., Mistral, LLaMA, Falcon, Mixtral) and optimization (LoRA, quantization) Experience with LangChain agents, tool usage, and memory management Contributions to open-source GenAI projects or published demos/blogs on generative AI Exposure to frontend technologies (React/Next.js) for prototyping GenAI tools Educational Qualifications: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field Candidates with relevant project experience or open-source contributions may be considered regardless of formal degree Show more Show less

Summary Position Summary AI & Engineering AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the AI & Engineering (AI&E) practice, our AI & Data offering helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Job Title: Generative AI Developer Job Summary: We are looking for a Generative AI Developer with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Work with a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 2-7 years of relevant hands-on experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303628 Show more Show less

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the AI & Engineering (AI&E) practice, our AI & Data offering helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Job Title: Senior Generative AI Developer/Team Lead Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Lead and Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 6-10 years of relevant experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Led a 3-5 member team on multiple end to end AI/GenAI projects Excellent communication and client/stakeholder management skills Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303629 Show more Show less

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the AI & Engineering (AI&E) practice, our AI & Data offering helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Job Title: Senior Generative AI Developer/Team Lead Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Lead and Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 6-10 years of relevant experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Led a 3-5 member team on multiple end to end AI/GenAI projects Excellent communication and client/stakeholder management skills Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303629 Show more Show less

Summary Position Summary AI & Engineering AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the AI & Engineering (AI&E) practice, our AI & Data offering helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Job Title: Generative AI Developer Job Summary: We are looking for a Generative AI Developer with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Deliver large-scale AI/Gen AI projects across multiple industries and domains Liaison with on-site and client teams to understand various business problem statements and project requirements Work with a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices Assist and participate in pre-sales, client pursuits and proposals Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members Qualifications: 2-7 years of relevant hands-on experience in Generative AI, Deep Learning, or NLP Bachelor’s or Master’s degree in a quantitative field. Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 303628 Show more Show less

Req ID: 327884 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Data Scientist - Digital Engineering Sr. Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). ARTIFICIAL INTELLIGENCE AI Data Scientist | Focused on Generative AI & LLMs Design and develop AI/ML models with a focus on LLMs (e.g., GPT, LLaMA, Mistral, Falcon, Claude). Apply prompt engineering, fine-tuning, and transfer learning techniques to customize models for enterprise use cases. Work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaborate with data engineers, AI Engineers and MLOps teams to deploy models in production environments About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Description And Requirements CareerArc Code CA-SW Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Responsibilities We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. To ensure you’re set up for success, you will bring the following skillset & experience: 7+ years of experience in designing and implementing AI/ML-driven applications Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,542,800 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Min salary 3,407,100 Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. Mid point salary 4,542,800 Max salary 5,678,500 Show more Show less

Who We Are? A part of the Cerebrent Group, Millipixels Interactive is an experience-led, interactive solutions company that collaborates with startups and enterprise clients to deliver immersive brand experiences and transformational technology projects. Our Offshore Innovation Center model allows clients to leverage our cost differentiators and innovation to redefine what's possible. We are detail-oriented, structured, and committed to delivering value with every engagement. With clients like Facebook, Google, McGraw-Hill, and more, you will be part of a team known for innovation and technical capability. The Role We are seeking a talented LangGraph Developer to join our AI development team. In this role, you will design and implement stateful, multi-agent systems using LangGraph , enabling advanced language model orchestration and agent collaboration. You’ll work at the cutting edge of LLM application development, creating sophisticated workflows that require reasoning, memory, and structured interactions across agents. Key Responsibilities Design and develop stateful agent workflows using LangGraph for a variety of use cases. Collaborate with prompt engineers, data scientists, and product teams to build modular and scalable LLM applications. Implement graph-based architectures that coordinate language models, tools, and memory. Integrate external APIs, databases, and vector stores into LangGraph workflows. Optimize performance, latency, and cost of multi-agent systems. Test, monitor, and debug LangGraph pipelines in production environments. Document architecture, nodes, and agent behavior clearly for internal teams. Required Technical Skills Strong Python programming skills. Experience with LangGraph and LangChain frameworks. Familiarity with LLMs like GPT-4, Claude, or open-source models (e.g., Mistral, LLaMA). Experience with state machines, DAGs, or workflow orchestration tools (e.g., Airflow, Prefect). Knowledge of prompt engineering, agent design, and memory architectures. Experience with APIs, webhooks, and external tool integration. Preferred Familiarity with vector databases (e.g., Pinecone, Weaviate, Chroma). Experience building multi-agent systems or autonomous agents (e.g., AutoGPT, CrewAI, AgentOps). Background in AI/ML, NLP, or computational linguistics. Benefits of Working at Millipixels Choose your working times - focus on delivering targets, not on time spent Medical Health Insurance - Company Paid Health insurance for ₹500,000. Option to extend to the Spouse and/or other immediate dependents on cost. Regular Financial, Tax-Saving, and Healthcare Advice Sessions from Experts. Generous paid vacation over the year. Show more Show less

🔍 AI Engineer — phablo.ai (Remote) Location: Remote Type: Full-time Company: Phablo.ai Team: Founding Engineering Team Experience: 1–4 years (exceptional freshers welcome) 🌟 About Us At Phablo.ai , we’re transforming how compliance works for life sciences. No more clunky tools or manual processes — we’re building an AI-powered platform that helps teams stay compliant faster, smarter, and with confidence. Co-Founded by domain and tech experts from Germany & India, headquartered in SIngapore , our mission is global: to reimagine compliance workflows for the world’s most regulated industries. 🚀 Perks & Culture 🧠 Founding Opportunity – Join as part of our early core engineering team and shape the product and tech stack from the ground up. 🌍 Remote-First, Global Team – Collaborate with co-founders and teammates across continents . Our key markets are the EU and US. 💰 Compensation – Competitive startup salary with strong growth upside. As the company grows, so will your salary and other perks. Equity opportunities available for long-term, high-impact contributors at later stages. 📚 Limitless Learning – Work on cutting-edge LLM, RAG, and document AI systems with real-world impact. ⚙️ Culture of Innovation – We move fast, experiment often, and value initiative, autonomy, and team spirit. 🎯 Responsibilities Architect and implement components of our AI compliance engine using techniques like RAG, hybrid search, summarization, and entity extraction. Fine-tune and optimize foundation models (e.g., LLaMA, Mistral, GPT) for tasks such as regulation parsing, document comparison, and compliance Q&A. Build document ingestion, chunking, and embedding pipelines using LangChain , Haystack , or LlamaIndex . Integrate with vector databases (e.g., FAISS, Qdrant, Weaviate, Pinecone) to enable scalable semantic retrieval. Develop and deploy FastAPI/Flask-based APIs for real-time or batch AI inference services. Apply prompt engineering, memory techniques, and few-shot learning to improve response quality, accuracy, and explainability. Work closely with domain experts and product teams to build AI systems aligned with real regulatory workflows . Continuously monitor and evaluate AI model performance across metrics like latency, accuracy, hallucination rate, and compliance risk. 🛠️ Required Skills Strong Python skills and experience with ML frameworks like PyTorch , TensorFlow , or JAX . Deep understanding of LLMs and NLP workflows including: NER, summarization, semantic similarity, RAG, and hybrid search Embedding generation and vector search optimization Familiar with tools like: LangChain , Haystack , LlamaIndex Vector DBs : FAISS, Weaviate, Qdrant, Pinecone FastAPI , Flask , or similar frameworks for serving models Hands-on with MLOps tooling like MLflow, Weights & Biases, HuggingFace Hub, or cloud platforms (AWS, GCP, Vertex AI). Awareness of AI safety , data privacy , and security best practices in regulated industries. Excellent problem-solving, communication, and collaboration skills. Bonus: Experience in life sciences , healthcare , legal tech , or regulatory AI is highly desirable. 🎓 Qualifications 1–4 years of experience engineering AI systems in production settings. OR, if you’re a fresher : A strong academic background in AI/ML/NLP/Data Science from a reputed institution. Demonstrated ability through research publications , open-source contributions , or top performance in AI competitions. 💬 Let’s Build the Future of Compliance If you're excited about building AI systems that solve real-world problems in healthcare, pharma, and life sciences — let’s talk! Apply now or reach out directly to ts@phablo.ai Show more Show less

We are looking for a highly skilled Generative AI Developer : Responsibilities We are looking for a highly skilled Generative AI Developer with expertise in Large Language Models (LLMs) to join our AI/ML innovation team. The ideal candidate will be responsible for building, fine-tuning, deploying, and optimizing generative AI models to solve complex real-world problems. You will collaborate with data scientists, machine learning engineers, product managers, and software developers to drive forward next-generation AI-powered Responsibilities : Design and develop AI-powered applications using large language models (LLMs) such as GPT, LLaMA, Mistral, Claude, or similar. Fine-tune pre-trained LLMs for specific tasks (e.g., text summarization, Q&A systems, chatbots, semantic search). Build and integrate LLM-based APIs into products and systems. Optimize inference performance, latency, and throughput of LLMs for deployment at scale. Conduct prompt engineering and design strategies for prompt optimization and output consistency. Develop evaluation frameworks to benchmark model quality, response accuracy, safety, and bias. Manage training data pipelines and ensure data privacy, compliance, and quality standards. Experiment with open-source LLM frameworks and contribute to internal libraries and tools. Collaborate with MLOps teams to automate deployment, CI/CD pipelines, and monitoring of LLM solutions. Stay up to date with state-of-the-art advancements in generative AI, NLP, and foundation Skills Required : LLMs & Transformers: Deep understanding of transformer-based architectures (e.g., GPT, BERT, T5, LLaMA, Falcon). Model Training/Fine-Tuning: Hands-on experience with training/fine-tuning large models using libraries such as Hugging Face Transformers, DeepSpeed, LoRA, PEFT. Prompt Engineering: Expertise in designing, testing, and refining prompts for specific tasks and outcomes. Python: Strong proficiency in Python with experience in ML and NLP libraries. Frameworks: Experience with PyTorch, TensorFlow, Hugging Face, LangChain, or similar frameworks. MLOps: Familiarity with tools like MLflow, Kubeflow, Airflow, or SageMaker for model lifecycle management. Data Handling: Experience with data pipelines, preprocessing, and working with structured and unstructured Desirable Skills : Deployment: Knowledge of deploying LLMs on cloud platforms like AWS, GCP, Azure, or edge devices. Vector Databases: Experience with FAISS, Pinecone, Weaviate, or ChromaDB for semantic search applications. LLM APIs: Experience integrating with APIs like OpenAI, Cohere, Anthropic, Mistral, etc. Containerization: Docker, Kubernetes, and cloud-native services for scalable model deployment. Security & Ethics: Understanding of LLM security, hallucination handling, and responsible AI : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 2-4 years of experience in ML/NLP roles with at least 12 years specifically focused on generative AI and LLMs. Prior experience working in a research or product-driven AI team is a plus. Strong communication skills to explain technical concepts and findings Skills : Analytical thinker with a passion for solving complex problems. Team player who thrives in cross-functional settings. Self-driven, curious, and always eager to learn the latest advancements in AI. Ability to work independently and deliver high-quality solutions under tight deadlines. (ref:hirist.tech) Show more Show less

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Description And Requirements CareerArc Code CA-SW Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Responsibilities We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. To ensure you’re set up for success, you will bring the following skillset & experience: 7+ years of experience in designing and implementing AI/ML-driven applications Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,542,800 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Show more Show less

The Role The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking : Proficiency in Large Models & Deep Neural Networks. Hands-on experience in working with large models & deep neural networks. Expertise in LLMs with working knowledge of large language models (LLMs). Extensive experience in System platform Architecture. Experience in Development Preferable for memory/storage/ any embedded system. In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. Extensive experience with C/C++ and Python programming. Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Integrate multi-modal AI models (text, image, speech) into enterprise solutions. Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ensure AI models follow ethical AI guidelines, bias mitigation, and security best : Tech in Computer Science, Electrical Engineering. 8 to 10 Years of experience in relevant domain. Strong analytical & abstract thinking ability as well as technical communication skills. Able to work independently and perform in fast paced environment. Ability to troubleshoot and debug complex issues. Working Knowledge on Device Driver is desirable. Prior experience in working with Skills : Languages & Frameworks : Proficiency in Python, PyTorch, TensorFlow, JAX (ref:hirist.tech) Show more Show less

Elite AI Architects Wanted: Transform Industries with LLM Mastery At Trilogy, we're not chasing AI trends—we're defining them. If you've mastered Large Language Models and seek to push their boundaries beyond conventional applications, we're offering a rare opportunity for the top 1% of ML engineers. Here, your expertise won't be diluted by corporate bureaucracy; it will be amplified through direct impact on revolutionary productivity tools. While others debate AI's potential, our team harnesses it to create tangible business transformations. We're building sophisticated systems that automate complex workflows, enhance decision-making processes, and fundamentally reshape how enterprises operate. Your innovations will directly influence productivity across industries, with measurable results that validate your expertise. What You Will Be Doing Architect and implement cutting-edge AI automation systems that deliver quantifiable productivity gains across diverse enterprise applications Pioneer experimental implementations of advanced AI technologies including GPT-4 Vision and Amazon CodeWhisperer, establishing new benchmarks for their practical application Optimize AI solution deployments across AWS infrastructure, ensuring maximum performance, scalability, and seamless integration with existing systems What You Won’t Be Doing Writing conventional code from scratch—our AI-first approach means you'll be orchestrating intelligent systems rather than manual programming Solving the same problems repeatedly—each challenge presents unique complexities that demand creative AI-driven solutions Navigating bureaucratic approval processes—we prioritize rapid implementation and measurable results over procedural formalities Creating theoretical models without practical applications—every solution you develop will address specific business challenges Machine Learning Engineer Key Responsibilities Architect and deploy fully autonomous AI systems that operate with zero human intervention, creating exponential productivity gains and scalable business impact. Basic Requirements Demonstrated AI-First Mindset—you must approach problems by leveraging AI tools as your primary solution strategy, not as an afterthought Minimum 5 years of professional experience in relevant technical roles Advanced proficiency in Python programming and AWS cloud infrastructure Proven expertise with GenAI code assistants including Github Copilot, Cursor.sh, and v0.dev Verifiable track record of implementing Generative AI solutions with quantifiable business impact Extensive experience utilizing various LLM APIs (GPT, Claude, Mistral) to solve complex business challenges About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5105-IN-Vadodara-MachineLearnin.015 Show more Show less

Are you eager to apply your LLM expertise to fuel innovation and productivity? At Trilogy, we offer a unique opportunity to enhance your AI skills in a vibrant and forward-thinking environment. Join us to focus on advancing your knowledge and application of LLMs. While many companies are caught up in buzzwords, Trilogy is committed to genuine innovation with practical, industry-changing applications. Envision crafting AI tools that optimize workflows, automate tasks, and improve decision-making to drive productivity. Your mission? Leverage LLMs to transform business operations, boosting efficiency and effectiveness. You'll design AI solutions that seamlessly integrate, simplify complex processes, and refine workflows for optimal results. Here, you won't deal with red tape or unresponsive systems. Instead, you'll see the direct impact of your work as it shapes the future of productivity tools. Are you ready to harness your skills and drive change? Discover if you are the catalyst we're looking for in this thrilling role! What You Will Be Doing Crafting and developing top-notch AI automations to streamline processes, enhance productivity, and deliver scalable solutions across various applications Testing cutting-edge AI tools like GPT-4 Vision and Amazon CodeWhisperer, integrating them into our development process to evaluate and improve their utility Assessing and optimizing AI solution implementations across different infrastructures, including AWS, to ensure smooth performance and integration What You Won’t Be Doing Traditional coding, as our AI handles the heavy lifting, allowing you to focus on innovation and strategy Repetitive tasks, as each problem presents a new challenge Artificial Intelligence Engineer Key Responsibilities Designing and deploying advanced, fully-automated AI systems that operate without human intervention for scalable impact Basic Requirements An AI-First Mindset (if you prefer writing code first and using AI tools second, this role may not be for you) Minimum of 5 years of professional experience Expertise in Python and AWS Knowledge of GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev) Proven experience in implementing Generative AI solutions with significant quantitative outcomes Experience using different LLM APIs (e.g., GPT, Claude, Mistral) to solve business challenges About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5105-IN-Vadodara-ArtificialInte.011 Show more Show less

Elite Python Developers Wanted: Transform Business with LLM Mastery At Trilogy, we're not chasing AI trends—we're defining them. We seek Python virtuosos who view Large Language Models as more than tools; they're weapons of mass productivity in your arsenal. Join us to architect autonomous AI systems that deliver tangible business transformation, not theoretical possibilities. While others debate AI's potential, our team harnesses its power to revolutionize workflows, automate complex processes, and redefine productivity benchmarks across industries. Here, your expertise directly translates to measurable impact—no bureaucratic barriers, no innovation bottlenecks, just pure execution and results. What You Will Be Doing Design and engineer sophisticated AI automation systems that deliver measurable productivity gains and scale across diverse business applications Pioneer implementation strategies for cutting-edge AI technologies including GPT-4 Vision and Amazon CodeWhisperer, rigorously evaluating their practical business applications Architect and optimize AI solution deployments across AWS infrastructure, ensuring peak performance and seamless integration with existing systems What You Won’t Be Doing Writing conventional code bases—our AI frameworks handle routine development, freeing you to focus on high-level architecture and innovation Executing repetitive implementation cycles—each challenge requires unique strategic thinking and creative problem-solving Following established playbooks—you'll be creating new methodologies for AI implementation, not following outdated approaches Python Developer Key Responsibilities Architect and deploy fully autonomous AI systems that operate with zero human intervention, creating exponential productivity gains and transformational business impact at scale. Basic Requirements Demonstrated AI-First Mindset—you instinctively leverage AI tools as primary solution architects rather than code-first approaches (applications from traditional code-first developers will not be considered) Minimum 5 years of professional development experience with verifiable results Advanced Python proficiency and comprehensive AWS implementation experience Proven expertise with GenAI code assistants including Github Copilot, Cursor.sh, and v0.dev Documented success implementing Generative AI solutions with quantifiable business impact Demonstrated experience leveraging multiple LLM platforms (GPT, Claude, Mistral) through their APIs to solve complex business challenges About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5105-IN-Ahmedaba-PythonDevelope.009 Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Assistant Director – AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a Assistant Director - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your Key Responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Mistral, etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Claude, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. Skills And Attributes For Success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 12 – 16 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 6 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 6-9 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

We are looking for a Senior Software Engineer-AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles and Responsibilities: Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-end—from research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set: 3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. Show more Show less

Kolkata,West Bengal,India Job ID 763067 Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Do you want to work hands-on with LangChain, CrewAI, and real-world AI agents solving complex problems at scale? If you're ready to level up your career in the world of autonomous AI , If you are passionate about building the future of AI? W e want to hear from you. Title: AI Agent Developer - Python (LangChain + CrewAI) Location: Noida, Sec-62 (On-site) Initial Work Location: Patel Nagar, New Delhi (2–3 months) Experience Required: 3+ years Employment Type: Full-time 🚀 About the Role We’re looking for an experienced AI Agent Developer who thrives at the intersection of LLMs, agentic workflows, and autonomous systems . If you're excited by building intelligent, tool-using AI agents that interact, reason, and solve real-world problems — this is your place . You’ll work on cutting-edge GenAI products , leveraging CrewAI, LangChain , and vector databases to build high-performance agent frameworks and end-to-end RAG pipelines. 🧠 What You'll Do Architect and build modular, asynchronous Python applications following clean code principles. Define and orchestrate agents using CrewAI – set up tasks, memory, roles, and coordination logic. Develop custom chains and tools using LangChain (AgentExecutor, LLMChain, Memory, Structured Tools). Design advanced prompts using Few-Shot, ReAct, Chain-of-Thought techniques. Integrate with LLM APIs like OpenAI, Anthropic, Mistral, HuggingFace . Build scalable RAG pipelines using vector stores (FAISS, Chroma, Pinecone, etc.). Add tool-use capabilities: web scraping, API integration, PDF parsing , file management. Design memory systems for persistent, context-aware agent behavior. Optimize reasoning logic using DSA and algorithmic problem solving . Package and deploy your work using Docker, Git, Pipenv/Poetry . 🛠️ Required Skills Strong in Python 3.x – async, modular structure, type hinting. LangChain (LLMChain, AgentExecutor, Tools, Memory) – must-have. CrewAI / LangGraph / AutoGen – hands-on experience required. Prompt Engineering – ReAct, Few-Shot, Chain-of-Thought strategies. Integration with LLM APIs – OpenAI, HuggingFace, Anthropic, Mistral. Vector DBs – FAISS, Chroma, Pinecone, Weaviate. Building end-to-end RAG pipelines using LangChain + VectorDB. Agent Memory: BufferMemory, ConversationBufferMemory, VectorStoreMemory. Async programming with asyncio and LangChain hooks. Strong grasp of DSA/Algorithms to optimize agent behavior. 🌟 Bonus Skills Exposure to ML libraries : Scikit-learn, XGBoost, basic TensorFlow. Understanding of NLP foundations : embeddings, tokenization, similarity scoring. Familiarity with DevOps : Docker, GitHub Actions, Pipenv/Poetry. 🎯 Why Join Us? Work on real AI agents that execute autonomous reasoning. Collaborate with a fast-paced, highly motivated AI team building from scratch. Directly influence architecture, UX, and product impact. Stay ahead by building on top of CrewAI, LangChain, LLM APIs , and the latest vector DB tools. Opportunity to lead initiatives and ship innovative GenAI solutions. Show more Show less