34 Llm Frameworks Jobs

As a Lead Engineer GenAI at Verisk, you will be responsible for developing and maintaining GenAI systems, ensuring they are robust, secure, and performant. Your role will involve leveraging advanced knowledge of Python open-source software stack, such as Django or Flask, and developing innovative solutions using GenAI technologies. Your qualifications and responsibilities include: Key Responsibilities: - Lead the implementation of GenAI systems, ensuring robustness, security, and performance - Develop scalable and efficient GenAI solutions tailored to specific requirements - Work on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, security, and infrastructure - Interact with business partners or customers, and guide project direction - Lead technical meetings and provide guidance on design Qualifications Required: - 8+ years of proven experience in software development and system maintenance - Highly experienced with N-tiered applications, multi-tier architecture, and scalable system design - Proficiency in Python open-source software stack and GenAI technologies - AWS experience preferred - Experience with RAG technologies, LLM frameworks, and LLM model registries - Strong understanding of object-oriented design concepts and software development processes - Excellent organization skills and ability to recognize priorities About Verisk: Verisk has been a leading data analytics and technology partner to the global insurance industry for over 50 years. They empower communities and businesses to make better decisions on risk faster. Verisk values inclusivity, diversity, learning, and caring, and is recognized as a Great Place to Work for its outstanding workplace culture. With a focus on innovation and ethical pursuit, Verisk offers a unique and rewarding career experience with work flexibility and support for personal growth. Verisk Businesses: - Underwriting Solutions - Claims Solutions - Property Estimating Solutions - Extreme Event Solutions - Specialty Business Solutions - Marketing Solutions - Life Insurance Solutions - Verisk Maplecroft Join Verisk and be part of a team that translates big data into big ideas, creating a better tomorrow for future generations in an exceptional work environment. Verisk Analytics is an equal opportunity employer. For more information and to explore career opportunities with Verisk, visit their [careers page](https://www.verisk.com/company/careers/).,

As a Senior Machine Learning/AI Manager at CDK, you will lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborating cross-functionally with product, engineering, and MLOps teams will be crucial to translate business needs into scalable ML solutions. Utilizing LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences will be a key aspect of your responsibilities. Additionally, you will champion model performance, interpretability, and reproducibility across varied domains. Your contribution to reusable AI/ML tooling, pipelines, and best practices will play a significant role in improving development velocity. **Key Responsibilities:** - Lead and mentor a team of scientists and engineers - Own the full ML lifecycle - Architect and implement models for various AI use-cases - Collaborate cross-functionally with product, engineering, and MLOps teams - Leverage LLMs and Retrieval-Augmented Generation - Champion model performance, interpretability, and reproducibility - Contribute to reusable AI/ML tooling and best practices **Qualifications Required:** - Masters or PhD in Computer Science, Machine Learning, Statistics, or related field - 5+ years of hands-on experience developing and deploying ML models at scale - 2+ years of experience managing or mentoring data scientists or ML engineers - Proficiency in Python and familiarity with languages like Java - Solid foundation in ML techniques including regression, classification, deep learning, and collaborative filtering - Experience with model deployment tools and cloud ML platforms - Strong communication skills; ability to present complex ideas to technical and non-technical stakeholders At CDK, inclusion and diversity are fundamental values that inspire meaningful connections to people, customers, and communities. The company fosters an open, curious environment that encourages different views, allowing everyone to be their best selves and make a positive impact.,

As a GenAI Technical Solutions Architect, your role involves developing and implementing architecture strategies for Gen AI to enhance AI ML model deployment and monitoring efficiency. You will focus on developing cutting-edge architectural strategies for Gen AI components and platforms, leading the implementation of LLM operations, and working closely with data scientists and AI professionals to drive digital transformation. Your responsibilities include: - Developing cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), AI agents, and embeddings. - Leading working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, and identifying components for reuse to save efforts, time, and money. - Leading the implementation of LLM operations to optimize model performance, scalability, and efficiency, and designing autonomous AI systems capable of complex decision-making and task execution. - Working closely with data scientists and AI professionals to identify and pilot innovative use cases aligned with business objectives and ROI. - Defining AI architecture, selecting suitable technologies, integrating RAG systems, embedding models, and LLM frameworks, and deciding on optimal deployment models. - Auditing AI tools and practices for continuous improvement, collaborating with security and risk leaders to ensure ethical AI implementation, and staying updated on AI regulations. You should have: - Proven track record in shipping products and developing Gen AI product architecture, with 10+ years of experience in AI and 5+ years in building NLP/AI software. - Demonstrated experience in delivering Gen AI products, deep familiarity with cloud technologies, proficiency in PyTorch, TensorFlow, Kubernetes, Docker, and experience deploying models using advanced LLM ops techniques. - Excellent communication and interpersonal skills, hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models. Qualifications: - Bachelor's or master's degree in computer science, Data Science, or a related technical field. - Ability to translate complex technical concepts into actionable business strategies, strong communication skills, and a proven track record in managing and delivering AI/ML projects in large-scale enterprise environments.,

As a Data AI Engineer, you will play a crucial role in designing and building machine learning models to analyze trends, predict outcomes, and optimize business processes. Your responsibilities will include working with structured and unstructured datasets for forecasting, anomaly detection, and decision-making. Additionally, you will fine-tune and adapt large language models for domain-specific applications and implement NLP capabilities like summarization, sentiment analysis, and chatbot development. You will be involved in cleaning, preprocessing, and transforming large datasets to prepare them for model training and evaluation. Conducting exploratory data analysis to identify trends and insights that guide model development will be a key part of your role. Furthermore, you will deploy and integrate models into production systems, ensuring scalability and low latency, and continuously monitor and refine model performance using various techniques. Collaboration with cross-functional teams to translate business needs into technical solutions and presenting findings and insights to stakeholders will be essential aspects of your job. Staying updated with advancements in AI, ML, and LLM technologies to introduce cutting-edge practices and tools, as well as exploring novel ways of applying LLMs and predictive analytics to create business value, will also be part of your responsibilities. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or related fields. Strong experience in predictive modeling, time-series analysis, and machine learning algorithms is required, along with proficiency in LLM frameworks and foundational models like GPT. Hands-on experience with programming languages such as Python, R, or Scala, and proficiency in ML libraries and frameworks is necessary. Additionally, experience with data manipulation and visualization tools, cloud platforms, and containerization tools is preferred. Soft skills such as excellent problem-solving and analytical skills, strong communication skills, and a collaborative mindset are crucial for success in this role. Preferred qualifications include prior experience in deploying LLM-powered solutions at scale, knowledge of reinforcement learning or generative AI techniques, and familiarity with MLOps tools for automating ML workflows. In return, you can expect a collaborative and innovative work environment, exposure to the aviation and maritime domains, connectivity and content engineering knowledge, and the opportunity to work in cross-functional teams. Competitive health benefits, generous paid time off, opportunities for hybrid offices, performance-based bonuses, international travel opportunities, and the chance to work across teams and organizations are some of the benefits you can enjoy in this role.,

The ideal candidate for this role has successfully developed data and analytics solutions, with a strong understanding of best practices in data modeling, data engineering, and AI products. To thrive in this position, you should enjoy working in a highly collaborative, cross-functional team environment. This role offers promising growth opportunities in both technology and management tracks. If you are an experienced Python engineer who excels at solving complex problems, is passionate about technology and coding, and has a knack for building and leading high-performing teams, then this could be the perfect opportunity for you! Key responsibilities include: - Demonstrating 4-10 years of proven experience and proficiency with Python - Possessing expertise in Python and associated libraries, as well as RESTful API development - Developing and designing scalable and efficient GenAI solutions tailored to specific requirements, ensuring robustness, security, and performance - Working on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, security, infrastructure, and MLOps/GenAIOps - Familiarity with RAG technologies and LLM frameworks, including LLM model registries, APIs, embedding models, and vector databases - Knowledge of cloud platforms (such as AWS), databases, system design, building data pipelines, Git, CI/CD, and Linux is a plus - Experience or hands-on exposure to AI and ML concepts, engineering techniques to optimize GenAI performance, and evaluation and selection of appropriate models and frameworks - Designing and developing components and systems from the ground up using engineering best practices and design patterns - Continuous learning and adaptation to evolving technologies - Strong understanding of object-oriented design concepts, software development processes, and methods - Leading teams, collaborating with business partners or customers, and guiding project direction - Exceptional organizational skills, with the ability to prioritize tasks and keep the team focused on critical features - Leadership qualities and the ability to lead technical and design working sessions - Proven ability to work independently with minimal supervision Verisk, a leading data analytics and technology partner to the global insurance industry for over 50 years, values inclusivity, diversity, and workplace culture. As an equal opportunity employer, Verisk offers a unique and rewarding career opportunity with work flexibility, support, coaching, and training for personal and professional growth. Join a team of 7,000 individuals who relentlessly pursue innovation and help translate big data into impactful ideas for a better future. Verisk Businesses: - Underwriting Solutions: Provides underwriting and rating solutions for assessing and pricing risk - Claims Solutions: Supports end-to-end claims handling with analytic and automation tools - Property Estimating Solutions: Offers property estimation software for efficient workflows - Extreme Event Solutions: Provides risk modeling solutions for resilience to extreme events - Specialty Business Solutions: Delivers an integrated suite of software for insurance and reinsurance business management - Marketing Solutions: Delivers data and insights for improved consumer engagement - Life Insurance Solutions: Offers data insight-driven capabilities for life and annuities policies - Verisk Maplecroft: Provides intelligence on sustainability, resilience, and ESG for societal strength Verisk Analytics is committed to creating a diverse and inclusive workplace. To explore career opportunities at Verisk, visit [Verisk Careers](https://www.verisk.com/company/careers/).,

Job Description Role Summary We are seeking a Generative AI/ML Engineer to design, build, and deploy intelligent AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and edge computing. You will work hands-on with cloud-native AI services, LLMOps pipelines, and enterprise-grade deployment patterns to solve business problems. Key Responsibilities Design, develop, and fine-tune LLM-powered applications for enterprise use cases. Experience in evaluating LLM applications and developing observability frameworks Implement RAG pipelines using vector databases, embeddings, and optimized retrieval strategies. Build agentic AI workflows with multi-step reasoning, tool calling, and integration with APIs. Integrate GenAI solutions into multi-cloud or hybrid cloud environments (AWS, Azure, GCP). Develop and optimize edge AI deployments for low-latency use cases. Create data strategy, ingestion, transformation, enrichment, validations, quality checks via pipelines for AI ingestion, preprocessing, and governance. Implement AI safety, bias mitigation, and compliance measures. Work closely with LLMOps teams to enable continuous integration & deployment of AI models. Write well-documented, production-ready code in Python, Node.js, Rust . Benchmark and evaluate model performance , latency, and cost-efficiency. Required Skills Proficient in cloud AI services (e.g. AWS Bedrock/SageMaker, Azure AI Foundry, Google Vertex AI, Anthropic, OpenAI APIs). Strong proficiency with Python and LLM frameworks (e.g. PromptFlow, LangGraph, LlamaIndex, HuggingFace, PyTorch, TensorFlow). Hands-on experience with vector DBs (e.g. Pinecone, Weaviate, Milvus, FAISS, Azure Cognitive Search). Experience building RAG-based and agentic AI solutions. Familiarity with Edge AI frameworks (e.g. NVIDIA Jetson, AWS IoT Greengrass, Azure Percept). Multi-modal AI (text, image, speech, video) experience. Strong grasp of APIs, microservices, and event-driven architectures . Knowledge of AI governance (data privacy, model explainability, security). Experience in containerized deployments (Docker, Kubernetes, serverless AI functions). Preferred Skills Generative agents with memory and planning capabilities . Real-time AI streaming with WebSockets or Kafka. Prior contributions to open-source GenAI projects . Experience in build, test and deploy various ML models Experience in building MCP, A2A protocol Show more Show less

Position: Fullstack Engineer Experience: 5 8 Years Location: Only local candidates i.e., Bangalore is preferrable for all the positions About the Role We are looking for a highly skilled Fullstack Engineer with hands-on experience in modern web technologies and a strong background in GenAI, AI/ML APIs, and LLM frameworks . The ideal candidate will have practical exposure to leveraging GenAI in day-to-day work whether its building AI-powered applications, integrating AI/ML APIs, or using GenAI tools to write code, generate test cases, or automate documentation . This role offers the opportunity to work on cutting-edge projects at the intersection of fullstack engineering and generative AI, enabling innovation and scalability. Key Responsibilities Design, develop, and deploy end-to-end fullstack applications using Python, Node.js, React.js, Next.js, and TypeScript. Integrate AI/ML APIs, LLM frameworks, and OpenAI APIs into production-grade applications. Implement LangChain and other AI frameworks for intelligent application workflows. Apply GenAI tools in day-to-day development for coding assistance, test automation, and documentation. Collaborate with cross-functional teams to translate requirements into scalable technical solutions. Ensure application performance, scalability, and maintainability. Stay updated on the latest developments in GenAI, AI/ML, and fullstack technologies to bring innovation into projects. Mandatory Skills Proficiency in Python, Node.js, React.js, JavaScript, TypeScript, Next.js . Strong experience with GenAI, AI/ML APIs, and LLM frameworks (OpenAI APIs, LangChain, etc.). Proven track record of using GenAI in day-to-day work : Building applications powered by GenAI. Using GenAI for code generation, testing, or documentation. Strong problem-solving skills with a deep understanding of software engineering best practices. Experience in cloud deployment (AWS/GCP/Azure) is a plus. Qualifications Bachelors/Master’s degree in Computer Science, Engineering, or a related field. 5–8 years of relevant fullstack engineering experience, with at least 1–2 years in GenAI/AI-powered applications .

As a Mid-Level LLM Application Developer with 3+ years of experience in software development, you will have the opportunity to work on designing, developing, and deploying scalable LLM-powered solutions using Azure OpenAI, Python, and LLM frameworks. Your role will involve collaborating with cross-functional teams to bring innovative AI solutions to life, leveraging generative AI and agentic technologies. Responsibilities: - Design and develop LLM-powered applications using Python and Azure OpenAI services. - Extend digital products and platforms with new capabilities and LLM Apps. - Support the adoption of digital platforms and LLM Apps by onboarding new clients and driving automation for client adoption. - Build end-to-end Retrieval-Augmented Generation (RAG) pipelines and develop conversational agents and virtual assistants using frameworks like LangChain or LlamaIndex. - Integrate LLMs with external tools, APIs, and business data systems. - Deploy and manage applications using Azure Functions, Azure AI services, and serverless components to ensure performance, scalability, and reliability of AI solutions on Azure. - Collaborate across teams and participate in agile development processes. Required Skills (Must Have): - Strong proficiency in Python programming language. - Expertise in Azure OpenAI Service, including foundation model usage, GPT Model family, and integration. - Deep experience in prompt engineering and building RAG pipelines with vector databases and tool integrations. - Proven experience developing chatbots or virtual assistants using LLMs. - Proficiency in at least one LLM application framework. - In-depth understanding of LLM models, their capabilities, and applications. - Experience deploying with Azure Function Apps and broader Azure ecosystem. - Solid grasp of API integrations and data workflow design. - Strong problem-solving skills and ability to deliver scalable, efficient code. - Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): - Understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs. - Experience building cloud-native services with serverless architectures. - Familiarity with NLP techniques and data transformation pipelines. - Familiarity with LLMOps concepts and AI model lifecycle. Qualifications: - Bachelors degree in computer science, Computer Engineering, or a related field. - 3+ years of experience in software development. - Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant,

You are a senior professional with at least 6+ years of hands-on experience in Python focusing on AI technologies. Your proficiency lies in Python and you have worked with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Your expertise includes a solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques. You have experience dealing with both structured and unstructured data sets. Additionally, you are familiar with version control systems like Git and collaborative development practices. Your strong problem-solving skills enable you to work effectively both independently and as part of a team. Desired Skills: - You have experience in natural language processing (NLP), computer vision, or time-series forecasting. - You are familiar with MLOps tools and practices for model deployment and monitoring. - Your background includes working with Generative AI models such as GPT, LLaMA, or Stable Diffusion. - You have knowledge of prompt engineering, fine-tuning, or embedding techniques for large language models (LLMs). - Hands-on experience with LLM frameworks like LangChain, Haystack, or Transformers (Hugging Face) is a plus. - You understand vector databases (e.g., Postgres, Pinecone) for retrieval-augmented generation (RAG) pipelines. - Any contributions to open-source AI/ML projects or published research would be beneficial. Locations: Hyderabad / Chennai / Bangalore / Pune. If you meet the above criteria and are interested in this opportunity, please share your resume at hr@neev.global or call 9429691736. This is a full-time position that requires you to work in person.,

As an AI Engineer with 3+ years of experience, you will be responsible for developing AI/ML solutions to automate data quality issues, specifically using GenAI libraries. Working in Chandigarh or Bangalore in a Full-Time (Hybrid Mode) position, you will collaborate closely with the AI team to create, optimize, and deploy intelligent applications. Your main responsibilities will include writing clean, efficient, and scalable Python code, handling large data sets for analysis, and automating data quality processes such as normalization, validation, and standardization at scale. You will also build and integrate GenAI-based features, develop APIs, pipelines, and backend services for AI applications, and optimize the performance of AI inference and data workflows. Collaboration with data scientists and frontend teams will be essential to improve data quality using AI technologies. The required skills for this role include strong Python programming skills (minimum 3 years), hands-on experience with GenAI/LLM frameworks, solid knowledge of APIs and web integration for scalable deployments, expertise in data manipulation for quality assurance, and familiarity with prompt engineering and vector databases. Proficiency in version control (Git) and debugging practices is also necessary. Preference will be given to candidates with domain knowledge in Revenue intelligence Accounts and Contacts data, experience with cloud platforms (Azure/AWS), and previous work on chatbots, RAG systems, or multi-agent frameworks. The ideal candidate should be able to join the organization within 1-4 weeks. If you are passionate about leveraging AI technologies to drive data quality automation and are eager to contribute to the development of intelligent applications, this role offers an exciting opportunity to make a meaningful impact.,

As a Generative AI Architect, you will be responsible for designing and implementing intelligent agents using LangGraph for complex workflows. Your role will involve leading the architecture, development, and deployment of sophisticated multi-step intelligent agents. You will integrate and optimize AI tools effectively within agent designs to enhance functionality and performance. Additionally, you will be responsible for implementing and managing agent deployments on Azure AI Foundry and Functions to ensure scalable, robust, and efficient operations. You will work with the broader retrieval-augmented generation (RAG) stack, including embeddings, vector databases, and chunking strategies, to enable intelligent document understanding across insurance submissions and claims. Your tasks will include engineering prompts, orchestrating agent interactions, and debugging complex multi-step agent behaviors. Moreover, you will develop specific agent use cases such as Submissions Agent for parsing submission emails and documents, Bordereaux Reconciliation Agent for automating data matching, Claims Notification Agent for ingesting claim notices, and Supervisor Agent for coordinating task execution. To excel in this role, you should have expertise in LLM Frameworks including LangChain, LangGraph, and LangSmith. Familiarity with Azure AI Foundry and Functions and best practices for cloud-native deployment patterns is essential. A deep understanding of RAG architectures, embeddings, and vector stores is required. You should also possess proven abilities in prompt engineering, agent orchestration, and effective debugging of AI workflows. Familiarity with MCP Tools and architecture is also necessary. Bonus qualifications include demonstrated experience in building and deploying enterprise-grade LLM applications. This position requires a strong background in AI architecture, cloud deployment, RAG fundamentals, prompt engineering, and architecture acumen. If you are passionate about leveraging AI technologies to develop intelligent agents for complex workflows and have the required skills and experience, we invite you to apply for this exciting opportunity.,

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle, offering a comprehensive cloud service that includes Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The OCI team is dedicated to delivering top-notch cloud products that cater to customers dealing with significant global challenges. The Network Monitoring (NM) Team within OCI plays a crucial role in ensuring the reliability and security of the cloud network. Customers rely on the NM Team to enhance availability, visibility, security, performance, capacity planning, root cause analysis, and failure prediction. The team focuses on developing cutting-edge cloud monitoring solutions that provide performance monitoring, AI-enabled root cause analysis, prediction, and capacity planning for Oracle's global cloud network infrastructure. As a Principal and Senior Member of Technical Staff (IC4/IC3) for the OCI Network Monitoring team, you will be responsible for leveraging your expertise to tackle complex problems in building cloud-native observability and analytics solutions at scale. The role involves developing distributed AI/ML systems capable of handling massive amounts of data, including metrics collection, data pipeline creation, and analytics generation using AI/ML for real-time and batch processing. If you are passionate about designing and delivering AI/ML-based observability services and thrive in a fast-paced environment, the NM team is the ideal place for you. **Responsibilities:** - Design and develop cloud-native observability and analytics solutions at scale - Build complex distributed AI/ML systems for real-time and batch processing - Collaborate with the team to provide performance monitoring, root cause analysis, and capacity planning - Contribute to the development of AI/ML applications using ML models - Utilize Java, Python, C++, and Object-Oriented programming for solution development - Enhance networking protocol knowledge in areas such as TCP/IP, Ethernet, BGP, and OSPF - Communicate effectively with team members and stakeholders - Apply cloud computing and networking technologies to monitoring services - Implement service-oriented systems and frameworks - Utilize tools like Jira, Confluence, and BitBucket for development processes - Embrace Scrum and Agile Methodologies for project execution **Qualifications:** - BS/MS or Equivalent in Computer Science or related field - 4+ years of software development experience - 1-2 years of experience in developing AI/ML applications using ML models - Proficiency in Java, Python, C++, and Object-Oriented programming - Knowledge of networking protocols such as TCP/IP, Ethernet, BGP, and OSPF is advantageous - Strong organizational, verbal, and written communication skills - Familiarity with cloud computing and networking technologies, including monitoring services - Experience with LLM frameworks like Langchain and LlamaIndex - Exposure to LLMs such as GPT-4, Llama 3.1, and Cohere Command - Proficiency in tools like Jira, Confluence, BitBucket is a plus - Understanding of Scrum and Agile Methodologies This role is at the IC3 career level and offers the opportunity to work in a dynamic environment that encourages innovation and collaboration. Oracle is committed to fostering an inclusive workforce that provides equal opportunities for all individuals. Employees can expect competitive benefits, flexible medical, life insurance, and retirement options, and support for community engagement through volunteer programs. Oracle is dedicated to accommodating individuals with disabilities throughout the employment process. If you require accessibility assistance or accommodation, please contact accommodation-request_mb@oracle.com or call +1 888 404 2494 in the United States.,

As an experienced Python programmer, you will be responsible for developing GenAI applications and automation tools using your deep expertise in Python. Your role will involve the productionization of GenAI applications beyond Proof of Concepts (PoCs) by utilizing scale frameworks and tools such as Pylint and Pyrit. In addition to Python programming, you should be proficient in working with LLM Frameworks, including Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Your expertise in these frameworks will be essential for enhancing GenAI applications. Moreover, you will leverage your extensive experience with cloud platforms such as Azure, GCP, and AWS to deploy and manage GenAI applications effectively. Your knowledge of at least two of these cloud platforms will be crucial for the success of the projects. You should also possess mastery of fine-tuning techniques like PEFT, QLoRA, LoRA, and other methods to optimize the performance of GenAI applications. Your understanding of these techniques will contribute to the overall efficiency of the applications. Furthermore, your strong knowledge of LLMOps practices for model deployment, monitoring, and management will ensure the seamless operation of GenAI applications. Your expertise in LLMOps will be vital for the successful deployment and maintenance of models. As part of your role, you will be required to implement responsible AI practices and ensure compliance with regulations to uphold ethical standards. Your proficiency in Responsible AI will be essential for developing applications that align with ethical guidelines. Additionally, you should have experience in API integration using protocols such as REST, SOAP, and others. Your familiarity with API integration will enable seamless communication between different systems and enhance the functionality of GenAI applications.,

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. Interact with C-level at our clients on a regular basis to drive their business towards impactful change. Lead your team in creating new business solutions. Seize opportunities at the client and at Metyis in our entrepreneurial environment. Become part of a fast-growing international and diverse team. Lead and manage the delivery of complex data science projects, ensuring quality and timelines. Engage with clients and business stakeholders to understand business challenges and translate them into analytical solutions. Design solution architectures and guide the technical approach across projects. Align technical deliverables with business goals, ensuring data products create measurable business value. Communicate insights clearly through presentations, visualizations, and storytelling for both technical and non-technical audiences. Promote best practices in coding, model validation, documentation, and reproducibility across the data science lifecycle. Collaborate with cross-functional teams to ensure smooth integration and deployment of solutions. Drive experimentation and innovation in AI/ML techniques, including newer fields - Generative AI. 6+ years of experience in delivering full-lifecycle data science projects. Proven ability to lead cross-functional teams and manage client interactions independently. Strong business understanding with the ability to connect data science outputs to strategic business outcomes. Experience with stakeholder management, translating business questions into data science solutions. Track record of mentoring junior team members and creating a collaborative learning environment. Familiarity with data productization and ML systems in production, including pipelines, monitoring, and scalability. Experience managing project roadmaps, resourcing, and client communication. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like Pandas and Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Experience with dashboarding tools such as Power BI and Tableau to create interactive and insightful visualizations. Proficient in using deployment and containerization tools like Docker and Kubernetes for building and managing scalable applications. Core Competencies: Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. Hands-on experience with MLOps and model governance best practices in production environments. Experience in developing optimization and recommendation system solutions to enhance decision-making, user personalization, and operational efficiency across business functions. Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).,

As an AI/ML Agent Developer at EXL, you will play a crucial role in designing, developing, and deploying intelligent agents within a multi-agent orchestration framework. Your primary responsibility will be to create autonomous agents that utilize LLMs, reinforcement learning, prompt engineering, and decision-making strategies to handle complex data and workflow tasks. Working closely with cross-functional teams, you will help in implementing AI solutions across various use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Your key responsibilities will include designing and implementing modular AI agents capable of autonomous decision-making, engineering prompt strategies for task-specific agent workflows, integrating ML models into agent behavior pipelines, contributing to multi-agent orchestration logic, collaborating with different teams for deployment at scale, and monitoring and refining agent performance. To be successful in this role, you are required to have a Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field along with at least 3 years of experience in developing AI/ML systems. You should also possess proficiency in Python and ML libraries, experience with LLM frameworks, a strong grasp of NLP, reinforcement learning, and decision systems, as well as knowledge of cloud environments and CI/CD for AI systems. Preferred skills include familiarity with multi-agent frameworks, experience in building autonomous AI applications for data governance, annotation, or knowledge extraction, background in human-in-the-loop systems, and understanding of vector databases and semantic search. By joining our team, you will have the opportunity to work at the forefront of AI orchestration and intelligent agents, collaborate with a high-performing team driving innovation in enterprise AI platforms, and shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.,

Position Description Company Profile: - At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Data scientist Position: Software Engineer (SE) / Senior Software Engineer (SSE) Experience: 5 years to 8 Years Category: zINACTIVE - Information Technology Main location: Bangalore Position ID: J0725-0906 Employment Type: Full Time Job Description: - Data scientist: - About the role: As a Product Data Scientist at CGI, You will play a pivotal role in validating assumptions, conducting in-depth data analysis, and collaborating with cross-functional teams to generate actionable insights. Your expertise will support product development, enhance data-driven decision-making, and contribute to the design and implementation of innovative features leveraging Large Language Models (LLMs) and Agentic AI frameworks. You will be instrumental in translating complex data structures into meaningful insights, ensuring data integrity, and fostering a data-centric culture within the organization. Proficiency in SQL for data querying. Familiarity with Python and R for data analysis and machine learning. Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of LLM frameworks (e.g., OpenAI, Hugging Face) is a plus. Strong analytical skills to interpret complex datasets. Excellent communication skills for collaboration and presentation. Your future duties and responsibilities Required Qualifications To Be Successful In This Role Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Show more Show less

Position Description Company Profile: - At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Data scientist Position: Software Engineer (SE) / Senior Software Engineer (SSE) Experience: 5 years to 8 Years Category: zINACTIVE - Information Technology Main location: Bangalore Position ID: J0725-0907 Employment Type: Full Time Job Description: - Data scientist: - About the role: As a Product Data Scientist at CGI, You will play a pivotal role in validating assumptions, conducting in-depth data analysis, and collaborating with cross-functional teams to generate actionable insights. Your expertise will support product development, enhance data-driven decision-making, and contribute to the design and implementation of innovative features leveraging Large Language Models (LLMs) and Agentic AI frameworks. You will be instrumental in translating complex data structures into meaningful insights, ensuring data integrity, and fostering a data-centric culture within the organization. Proficiency in SQL for data querying. Familiarity with Python and R for data analysis and machine learning. Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of LLM frameworks (e.g., OpenAI, Hugging Face) is a plus. Strong analytical skills to interpret complex datasets. Excellent communication skills for collaboration and presentation. Your future duties and responsibilities Required Qualifications To Be Successful In This Role Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Show more Show less

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

The Product Engineer AI-Powered Developer Tools (On-Prem) position based in Tower 1, World Trade Center, Kharadi, Pune offers a full-time, in-office work arrangement. As a part of the core engineering squad, you will be involved in building air-gapped, AI-powered developer tooling designed to operate completely behind customer firewalls. Your role will entail transforming ideas and prototypes into refined features, collaborating closely with architects, and delivering code that enhances the experience of developers. The product is specifically tailored to function within customer firewalls, incorporating customized LLM models and on-prem systems. Your key responsibilities will include owning features from end to end, encompassing the design, coding, testing, and integration of user-facing features in AI-driven IDE extensions and backend services. You will also be responsible for self-hosted AI wiring by integrating local LLMs, embeddings, and static-analysis models for various functionalities without relying on external endpoints. Additionally, you will contribute to CI/CD & DevOps activities to maintain efficient pipelines, dockerize new services, update Helm/Ansible scripts, and ensure seamless on-prem deployments. Emphasis will also be placed on prioritizing quality by writing various types of tests, monitoring performance metrics, and optimizing latency for a seamless user experience. To excel in this role, you should have a minimum of 5 years of experience in building production-grade software, with expertise in Java, API, microservices, TypeScript/JavaScript, and proficiency in Python or Go (knowledge of Rust/C++ is a plus). Familiarity with Git workflows, Docker, and at least one on-prem K8s/OpenShift environment is essential. Exposure to LLM frameworks or traditional ML pipelines, as well as experience with IaC tools and basic Linux operations, will also be beneficial. If you were a proficient builder before the AI wave, can effectively incorporate AI into your workflow, and are adept at utilizing various tools like Cursor, Claude Code, Google CLI, Windsurf, Replit, and Lovable, you are likely to be a good fit for this role. You should be capable of rapidly developing functional prototypes using AI tools, have a track record of creating products that users love, and prioritize collaboration and momentum over perfection. Smart Analytica offers a stimulating work environment where you can contribute to building the next-generation on-prem AI coding platform. You will have the opportunity for hands-on mentorship from seasoned architects and AI experts in a close-knit team that values craftsmanship, efficiency, and mutual support. If you are ready to play a pivotal role in shaping the future of AI development behind the firewall, please email your resume to hiring@smart-analytica.com with the subject "Product Engineer.",

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

As a talented software developer at our company, you will have the opportunity to showcase your passion for coding and product building. Your problem-solving mindset and love for taking on new challenges will make you a valuable addition to our rockstar engineering team. You will be responsible for designing and developing robust, scalable, and secure backend architectures using Django. Your focus will be on backend development to ensure the smooth functioning of web applications and systems. Creating high-quality RESTful APIs to facilitate seamless communication between frontend, backend, and other services will also be a key part of your role. In addition, you will play a crucial role in designing, implementing, and maintaining database schemas to ensure data integrity, performance, and security. You will work on ensuring the scalability and reliability of our backend infrastructure on AWS, aiming for zero downtime of systems. Writing clean, maintainable, and efficient code while following industry standards and best practices will be essential. Collaboration is key in our team, and you will conduct code reviews, provide feedback to team members, and work closely with frontend developers, product managers, and designers to plan and optimize features. You will break down high-level business problems into smaller components and build efficient systems to address them. Staying updated with the latest technologies such as LLM frameworks and implementing them as needed will be part of your continuous learning process. Your skills in Python, Django, SQL/PostgreSQL databases, and AWS services will be put to good use as you optimize systems, identify bottlenecks, and resolve them to enhance efficiency. To qualify for this role, you should have a Bachelor's degree in Computer Science or a related field, along with at least 2 years of experience in full-stack web development with a focus on backend development. Proficiency in Python, Django, and experience with Django Rest Framework are required. Strong problem-solving skills, excellent communication, and collaboration abilities are also essential for success in this position.,

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

You are a talented and experienced Senior Fullstack Engineer responsible for designing, developing, and maintaining robust and scalable AI-powered web applications with a strong focus on frontend development (60-70%) while also ensuring solid backend capabilities. You will collaborate closely with product managers, designers, and other engineers to create next-generation AI experiences like chat interfaces, LLM integrations, and intelligent user interactions. Your deep JavaScript expertise, strong React ecosystem knowledge, experience with AI/LLM technologies, and passion for building high-quality, maintainable solutions with cutting-edge AI capabilities are essential for this role. In this position, your responsibilities will include: - Building AI-powered chat applications, conversational interfaces, and intelligent user experiences - Designing and implementing complex AI workflows using technologies like LangGraph and multi-agentic architectures - Implementing monitoring, logging, and performance tracking for AI/LLM integrations - Designing, developing, and maintaining responsive web applications using React, Next.js, and TypeScript - Making strategic technical decisions about AI application structure, data flow patterns, and scalability solutions - Optimizing Core Web Vitals, bundle analysis, rendering performance, and AI response times - Developing and consuming RESTful APIs, GraphQL services, and LLM APIs with proper error handling and state management - Conducting code reviews, mentoring junior developers, and establishing frontend development standards - Translating business requirements into technical solutions and feasibility assessments - Developing comprehensive automated unit, integration, and end-to-end tests - Debugging complex production issues, memory leaks, race conditions, and cross-browser inconsistencies - Implementing authentication flows, XSS prevention, data privacy, and AI safety measures - Building and maintaining Node.js/Express.js APIs, database integrations, and AI service orchestration Requirements: - Bachelor's degree in Computer Science, Engineering, or related field - 5-8 years of experience in fullstack development with a frontend focus - Proven experience in building chat applications and conversational interfaces - Experience integrating with AI/ML APIs and LLM frameworks - Strong analytical, problem-solving, and technical communication skills - Excellent collaboration abilities and experience working in cross-functional teams Core Technical Expertise: Frontend Technologies: - Advanced JavaScript (ES6+, closures, prototypes, async patterns, event loop, browser APIs) - React.js with hooks, context, and modern patterns - Next.js including SSR, SSG, and App Router - TypeScript with deep understanding of type system - Component libraries (Ant Design or Material-UI) - State management solutions (Redux, React Query) Backend & Data: - Node.js & Express.js for API development - Database technologies (PostgreSQL, MongoDB, or MySQL) - RESTful APIs and GraphQL services AI/LLM Integration: - OpenAI APIs, LangChain, or similar frameworks - Streaming AI responses and error handling - Performance optimization for AI applications - Multi-agent system implementation Development Practices & Tools: - Modern testing frameworks (Jest, React Testing Library, Cypress) - Performance monitoring and debugging tools - Git version control and collaborative workflows - CI/CD pipelines and deployment automation - System architecture patterns and scalable application design - Security best practices including authentication flows and XSS prevention Performance & Optimization: - Core Web Vitals optimization - Bundle analysis and rendering performance - Memory management and browser-specific optimizations - Cross-browser compatibility and debugging Other Mandatory Requirements: - Experience in a product company, focusing on enterprise products with significant business impact or user base - Expertise in Python or JavaScript (Frontend or Backend) - Candidates must be based in Bangalore,

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. The team utilizes advanced analytics techniques to help clients optimize their operations and achieve strategic goals. As a Data Analyst at PwC, your role will involve utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your responsibilities will include data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. With a minimum of 12 years of hands-on experience, you will be responsible for designing and implementing scalable, secure, and high-performance architectures for Generative AI applications. This involves integrating Generative AI models into existing platforms, fine-tuning pre-trained generative models for domain-specific use cases, and developing strategies for data collection, sanitization, and preparation. You will also be evaluating, selecting, and deploying appropriate Generative AI frameworks such as PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, and Agentflow. Staying abreast of the latest advancements in Generative AI and recommending innovative applications to solve complex business problems is crucial. You will define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Collaboration with cross-functional teams, mentoring team members on AI/ML best practices, and making architectural decisions are essential aspects of the role. Monitoring the performance of deployed AI models and systems, optimizing computational costs, and ensuring compliance with ethical AI practices and data privacy regulations are key responsibilities. Safeguards must be implemented to mitigate bias, misuse, and unintended consequences of Generative AI. Required skills for this role include advanced programming skills in Python, proficiency in data processing frameworks like Apache Spark, knowledge of LLMs foundational models, experience with event-driven architectures, familiarity with Azure DevOps and other LLMOps tools, expertise in Azure OpenAI Service and vector DBs, containerization technologies like Kubernetes and Docker, comprehension of data lakes and data management strategies, proficiency in cloud computing platforms like Azure or AWS, exceptional leadership, problem-solving, and analytical abilities, superior communication and collaboration skills, and the ability to operate effectively in a dynamic environment. Nice-to-have skills include experience with technologies like Datadog and Splunk, possession of relevant solution architecture certificates, and continuous professional development in data engineering and GenAI. A professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA is required for this role.,