285 Mistral Jobs - Page 3

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

Experience Required: 4+ Years Key Responsibilities: Proficiency in Python (preferred), with working knowledge of TypeScript/Node.js, Go, or Java. Hands-on experience developing REST APIs, GraphQL endpoints, and/or gRPC-based services. Familiarity with integrating LLMs like GPT-4, Claude, Gemini, Mistral, or LLaMA. Exposure to frameworks such as LangChain, LlamaIndex, or CrewAI. Basic understanding of vector databases and semantic search tools (e.g., FAISS, Pinecone). Experience working in cloud environments (AWS, GCP, Azure) and with containerization tools (Docker, Kubernetes). Backend or full-stack development experience, with working on Generative or Agentic AI solutions. Show more Show less

Associate Director - AI/ML Engineering What you will do Let’s do this. Let’s change the world. We are seeking a Associate Director of ML / AI Engineering to lead Amgen India’s AI engineering practice. This role is integral to developing top-tier talent, setting ML / AI best practices, and evangelizing ML / AI Engineering capabilities across the organization. The Associate Director will be responsible for driving the successful delivery of strategic business initiatives by overseeing the technical architecture, managing talent, and establishing a culture of excellence in ML / AI The key aspects of this role involve : (1) prior hands-on experience building ML and AI solutions (2) management experience in leading ML / AI engineering team and talent development (3) Delivering AI initiatives at enterprise scale Roles & Responsibilities: Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship. Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development. Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery. Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring. Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value. Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies. Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies. Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems. Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives. Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR Bachelor’s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience Preferred Qualifications: Experience in building AI Platforms & applications at enterprise scale Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI ) Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms. Proficient in programming languages such as Python, R, or Scala. Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud). Proven track record of managing and delivering AI/ML projects at scale. Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities. Experience in regulated industries, preferably life sciences and pharma Good-to-Have Skills: Experience with natural language processing, computer vision, or reinforcement learning. Knowledge of data governance, privacy regulations, and ethical AI considerations. Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms) Experience with AI Observability Professional Certifications (Preferred): Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate Soft Skills: Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Ability to mentor and develop team members, promoting their growth and success. Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Additional Information: a Any past Consulting experience Good to have c Good to have DBT, Python, Knowledge of Snowpark and any advanced certification Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM 15 years full time education Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Degrees in STEM 15 years full time education Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities: a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflake b Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirements c Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake. Technical Expertise a Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different services b Ability to architect solutions from OnPrem to cloud and create end to end data pipelines c good process knowledge in one or more of the following areas: Finance, Healthcare, Customer Experience d Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake features e Ability to suggest innovative solutions based on new technologies and latest trends f SnowPro core certification g Certified in any one cloud h Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI. i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support. j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots. k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions. l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives. M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities. N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Educational Qualification: a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM 15 years full time education Show more Show less

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? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Kolkata Req ID: 763067 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. Position Name EY- Assurance – Senior - Digital Position Level Senior Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Requirements (including experience, skills, and additional qualifications) Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors 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-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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.

Hi, Greetings from Warrior Tech Solutions. We are hiring for the below position: Role: Data Scientist/AI Engineer Location: Chennai/Hyderabad (Onsite – 5 Days) Experience: 6+ Years Notice: Immediate to 15 days Responsibilities will include but are not limited to: · Development and testing of Generative AI solution either Agentic or non-AgenticAI · Deep understanding of any framework either Langgraph or Autogen or CrewAI · Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF and success measurement. · Thorough understanding of LLMOps, data pipelines and other common services required to operationalize the Generative AI use cases. · Designing end-to-end Generative AI solutions tailored to specific Verizon use cases. · Deep understanding of automation and AI technologies and their application in business operations. · Develop scalable prototypes of LLM and NLP Modules and systems which are critical to the company’s product lines. · Apply state-of-the-art LLM techniques to understand a large amount of unstructured data and translate them to a meaningful and structured data · Design, develop and evaluate predictive LLM models that are on par with industry standards & define metrics that measure success and customer value delivery · Work closely with process experts to analyze and design solutions based on business requirements. Required Skills: · Minimum 6 years of experience in one or more of Data Science, LLM, Gen AI · Master’s degree from an accredited college or university preferred · Established experience delivering information management solutions to large numbers of end users · Experience in building LLM solutions to business problems across support, sales, digital, chat, voice etc., · Familiarity with Gen AI Models (OpenAI, Gemini AI, Vertex.AI, Mistral, LlaMa, etc.,) and finetune based on domain specific needs · Experience in text processing, Vector databases and embedding models · Experience in NLP, Transformers and Neural Networks · Hands-on experience in using Langchain and good exposure to LLMOps · Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics and ML · Research, recommend and implement best practices of LLM and NLP systems that can scale · Identify new process opportunities, while quickly assessing feasibility · Excellent written and verbal communication skills able to effectively communicate technical details to a non-technical audience as well as produce clear and concise written documentation If interested, kindly share the resumes to *bharathi@ewarriorstechsolutions.com* or contact @8015568995. Job Type: Full-time Pay: ₹1,500,000.00 - ₹1,800,000.00 per year Schedule: Day shift Experience: Data Science: 6 years (Preferred) Machine Learning: 5 years (Preferred) Natural language processing: 5 years (Preferred) Python: 5 years (Preferred) Lang Chain: 5 years (Preferred) Lang Graph: 5 years (Preferred) Work Location: In person

Are you ready to revolutionize software development with the power of AI? At IgniteTech, we're not just adapting to the future; we're creating it. Join us to lead groundbreaking AI-driven initiatives that will redefine software architecture and elevate the industry standard. What You Will Be Doing Architect and design AI-driven systems to automate complex software development processes, such as architecture generation, dependency management, and predictive coding. Immerse yourself in cutting-edge AI and software engineering advancements through R&D, conferences, and professional communities, ensuring we're always at the forefront of technology. What You Won’t Be Doing Routine Code Maintenance or debugging of minor issues. Engaging in standard software development tasks without AI integration. Artificial Intelligence Engineer Key Responsibilities Drive significant improvements in development speed, error reduction, and code quality, leading to faster software product launches and increased customer satisfaction. Basic Requirements Minimum of 3 years' experience in implementing impactful software engineering initiatives. Proficiency with GenAI code assistants like GitHub Copilot, Cursor.sh, or v0.dev. Proven track record in implementing Generative AI solutions. Experience with leveraging LLMs such as GPT, Claude, or Mistral for business problem-solving. About IgniteTech If you want to work hard at a company where you can grow and be a part of a dynamic team, join IgniteTech! Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re doing it in an entirely remote workplace that is focused on building teams of top talent and operating in a model that provides challenging opportunities and personal flexibility. A career with IgniteTech is challenging and fast-paced. We are always looking for energetic and enthusiastic employees to join our world-class team. We offer opportunities for personal contribution and promote career development. IgniteTech is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. 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-5269-IN-Hyderaba-ArtificialInte.006 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. EY- Assurance – Senior - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors 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-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you 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.