1043 Llm Jobs - Page 12

Role & responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Education: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence. Programming proficiency: Expert-level skills in Python experience in machine learning and deep learning frameworks (PyTorch, TensorFlow). Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. . Proficiency in retrieval-augmented generation (RAG) setups, vector databases,Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices.

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 10+ years. Expertise in Python, LLM integration, and GenAI development workflows Strong knowledge of prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains Strong working experience in Agentic AI and Open AI. Hands-on experience with agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents Proven experience in leading LLM/GenAI projects from Proof-of-Concept to Production Deep understanding of modern data workflows ingestion, transformation, cataloguing, validation, and analytics Ability to work collaboratively across engineering, product, and governance teams Experience with enterprise data products, MLOps, or DataOps platforms Familiarity with governance workflows and metadata-driven automation Exposure to cognitive architectures or agent simulation environments Excellent communication and collaboration skills. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

* If you are 5+ years experienced and Immediate joiner , please apply: https://forms.gle/TbiZ5o9oN2ZtJSpKA 5+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows Hands-on LLM integration in production (not academic/chatbot-only experience) Expertise in designing production-grade APIs and backend services Strong knowledge of async workflows, deployment, observability, and performance *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply.Must possess strong communication skills , both written and verbal.Should have proven expertise in the specific field or role being applied for. Timings: 8 hrs/day, Mon-Fri Preferred candidate profile : Immediate Joiners Fully remote, 3 months contract in the starting

Role & responsibilities Design and implement end-to-end QA strategies for applications using Node.js, integrated with LLMs, retrieval-augmented generation (RAG), and Agentic AI workflows. • Establish comprehensive benchmarks and quality metrics for GenAI components including accuracy, coherence, relevance, stability, and safety. • Develop structured evaluation datasheets for LLM behaviour validation: test prompts, expected responses, classification criteria, and scoring rubrics. • Perform data quality testing for RAG databases and ensure relevant, high-quality retrieval to minimize hallucinations and improve grounding. • Conduct A/B testing across model versions, prompt designs, and system configurations to measure and compare output quality. • Define methodologies and simulate non-deterministic behaviours using Agentic AI testing techniques. • Collaborate closely with developers, product owners, and AI engineers to test prompt engineering pipelines, function-calling interfaces, and fallback logic. • Build QA automation where applicable and integrate GenAI evaluations into CI/CD pipelines. • Lead internal capability development by mentoring QA peers on GenAI testing practices and helping evolve the organizations AI quality maturity. Preferred candidate profile 6+ years of experience in software quality assurance, with at least 3+ years working in or around GenAI or LLM-based systems. • Deep understanding of GenAI quality dimensions: response grounding, factual correctness, context awareness, and hallucination minimization. • Experience creating and maintaining LLM evaluation datasets and designing test cases for dynamic prompt behaviour. • Hands-on experience with tools and techniques for testing retrieval pipelines, embedding quality, and vector similarity results in RAG architectures. • Familiarity with non-deterministic testing strategies, agent loop evaluation, and multi-step LLM task validation. • Comfortable working with APIs, logs, test scripts, and tracing tools to validate both system and AI behaviour. • Strong analytical thinking and a methodical approach to identifying bugs, regressions, and inconsistencies in AI outputs.

Role & responsibilities Design, build, and deploy AI/GenAI-based applications that serve Digital Twin use cases, using Angular, Node.js, and TypeScript. Work hands-on with LLMs and GenAI APIs (e.g., OpenAI, Anthropic, Azure OpenAI) to implement features like smart assistants, summarization, chat interfaces, decision support, and insight extraction. Develop and iterate on prompt engineering strategies, including prompt chaining, dynamic context building, function calling, and few-shot/zero-shot setups. Own the full GenAI lifecycle: data preparation, API integration, system design, prompt tuning, validation, testing, deployment, and monitoring. Optimize AI responses for accuracy, reliability, latency, cost, and relevance. Collaborate closely with product managers, QA engineers, and AI researchers to translate business problems into AI solutions that feel natural and useful. Write clean, testable, modular, and maintainable code, integrating GenAI services with your UI and backend layers. Build guardrails and fallback mechanisms to ensure responsible and safe AI output in production. Take ownership of code quality and maintainability; contribute to internal standards and reviews. Demonstrate a never-give-up mindset, a delivery-first attitude, and a commitment to continuous learning in the evolving GenAI landscape. Write clean, modular, well-tested code using Angular, Node.js, and TypeScript. Perform unit testing, code reviews, and continuous integration/deployment practices. Troubleshoot, debug, and optimize existing applications for performance and scalability. Preferred candidate profile 5+ years of software development experience, with strong hands-on skills in Angular, Node.js, and TypeScript. 3+ years working directly with LLMs and GenAI platforms, building and deploying production-grade features. Proven expertise in prompt engineering and understanding of LLM behaviours (hallucinations, context length, token usage, determinism). Experience with GenAI workflows, including RAG (Retrieval-Augmented Generation), tool/function calling, embeddings, and system prompts. Ability to debug, test, and evaluate AI outputs for correctness, bias, and performance. Strong understanding of software development principles, clean architecture, and modular design. Familiarity with RESTful APIs, microservices architecture, and cloud environments (e.g., AWS, Azure, GCP

Develop AI solutions for code completion/code review & improve functionality Design/testing of LLM features Evaluate code quality initiatives Deliver trainings on use of AI tools for code reviews Guide development teams on AI Tool Usage practices

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: LLM Ops. Experience: 8-10 Years.

Core Responsibilities Model development Build and fine-tune image classification, detection, segmentation, OCR, and cross-modal retrieval pipelines in PyTorch or TensorFlow. Vision-language research transfer Re-implement recent conference papers; run ablation studies; compare checkpoints on COCO, LVIS, and internal datasets. Training and evaluation Write efficient trainers, manage experiment tracking (Weights & Biases / MLflow), and track metrics such as mAP, BLEU, CIDEr. Deployment Package models for REST and on-device endpoints (TorchScript, TensorRT); measure latency, memory, and accuracy. Code quality & collaboration Maintain clean repositories, contribute to design reviews, and present findings to non-AI colleagues and clients. Ethics & security Flag dataset bias, ensure privacy compliance, and document model limitations. Minimum Requirements Area Expectation Education B.Tech / M.Tech in CS, or related field. Python expertise 3+ years building deep-learning pipelines; solid OOP and unit testing. Frameworks PyTorch (preferred) or TensorFlow; OpenCV; experience with Hugging Face or similar libraries. Vision-language Hands-on with at least one of CLIP, BLIP, Segment-Anything, Detic, LLaVA, or similar. Tools Git, Docker, Linux, CUDA; basic CI/CD. Soft skills Clear written and spoken English; able to translate technical results into client-friendly summaries.

We are looking for a passionate and innovative AI/ML Engineer LLM & NLP with strong expertise in artificial intelligence, natural language processing (NLP), and large language models (LLMs). The focus is on crafting, optimizing, and scaling AI-driven interactions that improve system performance, enhance user experience, and deliver measurable business value across a variety of applications. Key Responsibilities: Design, test, and refine prompts to optimize performance of LLMs such as GPT-4, Claude, Gemini, and open-source models. Collaborate with cross-functional teams (product, design, engineering, marketing) to develop AI-driven features and tools. Conduct experiments and evaluate to test the accuracy, safety, and quality of AI-generated outputs, learning best practices along the way. Automate prompt workflows and integrate prompt chains with APIs and tool stacks. Fine-tune models or build retrieval-augmented generation (RAG) pipelines when needed. Stay curious and keep learning about the latest advancements in generative AI, NLP, and prompt engineering through hands-on practice and research Contribute to building internal documentation, prompt templates and reusable libraries. Required Skills & Qualifications: Bachelors degree in computer science. 2 years of experience working with LLMs, AI systems, NLP frameworks. Strong understanding of transformer models and training. Experience using OpenAI (ChatGPT, GPT API), Anthropic, Cohere, Hugging Face, or similar platforms. Strong proficiency in Python, with hands-on experience using leading AI frameworks and libraries such as LangChain, LlamaIndex, and others commonly used in LLM and NLP development. Background in UX, technical writing, or content design is a plus.

We are seeking a highly skilled Data Scientist with a passion for AI, machine learning, and deep learning to join our dynamic team. The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business challenges. Job Title: Data Scientist Location: Bengaluru, Gurugram, Mumbai, Coimbatore 2+years Of experience in machine learning, deep learning, or Al research, With a focus on generative models. Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E). Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS). Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks. Strong programming skills in python and familiarity With relevant libraries and frameworks. Proven experience in document detail extraction and feature engineering. Proficiency in data processing and manipulation techniques. Hands-on experience in building data applications using Streamlit or similar tools. Advanced knowledge in prompt engineering, chain of thought processes, and Al agents. Excellent problem-solving skills and the ability to work effectively in a collaborative environment. Strong communication skills to convey complex technical concepts to non-technical stakeholders.

We are seeking a highly skilled AI/ML Engineer with a solid foundation in Machine Learning and deep hands-on experience in Generative AI (GenAI). Agentic experience is must.

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Roles and Responsibilities Implementation and testing of GenAI solutions for Client Liaise with pre-sales teams and customers for understanding of requirements and timelines Liaise with product team to understand the product to ensure efficient implementation as well as to suggest product improvements Liaise with support teams for ensuring adherence to committed SLAs Must Haves Good in coding (Preferably Python) and DSA Experience with Gen-AI technologies (LLM prompt engineering) Familiarity with React, HTML, CSS, JS or similar frameworks Familiarity with HTTP, REST, microservices, concurrency and Multithreading Experience working with Linux OS, TCP/IP networks, Database, Queues, caching Good problem solving and communication skills Willingness to work in a dynamic and fast paced environment. 2-4 years of experience with a Bachelor / Master's Degree in Computer Science or equivalent. Ownership and commitment towards work

We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. Conduct research and stay up to date with the latest advancements in generative and agentic AI. Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. 5+ years of experience in machine learning, with a focus on generative models or autonomous agents. Proficiency in Python and ML frameworks such as PyTorch Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). Experience with AWS and Snowflake services Prior Healthcare experience Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.

Analyze & triage GitHub issues across trending open-source libraries.Set up & configure code repositories, including Dockerization & environment setup. Evaluating unit test coverage. Modify &run codebases locally to assess LLM performance. Required Candidate profile Min 5+ years of overall exp., Participation in LLM research or evaluation projects. Proficiency with Git, Docker, & basic software pipeline setup. Ability to understand and navigate complex codebases.

Our vision is to transform how the world uses information to enrich life for . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Principal Data Scientist at Micron, you will Develop AI, LLM, ML and statistical based solutions to build state-of-the-art predictive, prescriptive , optimization and automation , pattern-mining solutions for silicon design verification and firmware validation Collaborate with cross-functional teams to ensure the accuracy, reliability, and performance of semiconductor products. Drive technical innovation and culture within the team by participating in generating IP and inspiring team to innovate. Participate in end-to-end project scoping and stakeholder discussions to determine technical merit of the idea, vale proposition and resource requirements. Interact with senior leadership, and cross functional teams to define scope, identify risks, deploy scalable solutions & lead multiple projects execution Continuously learn as well as mentor team on recent progress on semiconductor and AI/ML domain. Key requirements: Education: Master's or PhD in Computer Science, Electrical Engineering, or a related field. Experience: 12+ years in data science and machine learning. Experience in silicon verification or semiconductors in general is highly desirable. Technical Skills In-depth understanding statistics, classical ML algorithms, neural networks and in-depth understanding of algorithms and formulation behind LLM, RAG and agents. Hands on experience and solid understanding of data engineering and building deployment pipelines for solutions built. Be able to extract, process and clean data using known frameworks. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). Project Management Ability to scope projects, develop project plan and lead, execute, and deliver as per the plan. Ability to understand the customer pain point and find appropriate solutions to address the problem. Soft skills Strong passion and attitude to work in semiconductor industry delivering high value and high impact data science solutions. Attitude and temperament for team-work, mentoring, learning, ethics and professional communication.

You are a strategic thinker passionate about driving solutions in Data Analytics. You have found the right team. As an Analytics Solutions Vice President in our Finance team, you will define, refine, and deliver our firm's goals. If you're a skilled data professional passionate about transforming raw data into actionable insights and eager to learn and implement new technologies, you've found the right team. Join us in the Finance Data & Insights Team, an agile product team focused on developing, producing, and transforming financial data and reporting across CCB. Your role will involve creating data visualizations and intelligence solutions for top leaders to achieve strategic goals. You'll identify opportunities to eliminate manual processes and use automation tools like Alteryx, Tableau, and ThoughtSpot to develop automated solutions. Additionally, you'll extract, analyze, and summarize data for ad hoc requests and contribute to modernizing our data environment to a cloud platform. Job responsibilities: - Lead Data & Analytics requirements gathering sessions with varying levels of leadership and complete detailed project planning using JIRA to record planned project execution steps. - Understand databases, ETL processes, and translate logic into requirements for the Technology team. - Develop and enhance Alteryx workflows by collecting data from disparate sources and summarizing it as defined in requirements gathering with stakeholders, following best practices to source data from authoritative sources. - Develop data visualization solutions using Tableau and/or ThoughtSpot to provide intuitive insights to key stakeholders. - Conduct thorough control testing of each component of the intelligence solution, providing evidence that all data and visualizations offer accurate insights and evidence in the control process. - Seek to understand stakeholder use cases to anticipate their requirements, questions, and objections. - Become a subject matter expert in these responsibilities and support team members in becoming more proficient. Required qualifications, capabilities, and skills: - Bachelor's degree in MIS or Computer Science, Mathematics, Engineering, Statistics, or other quantitative or financial subject areas - People management experience of at least 3 years is required - Experience with business intelligence analytic and data wrangling tools such as Alteryx, SAS, or Python - Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses, Databricks, Cloud solutions - Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data - Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data - Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions - Experience with ThoughtSpot or similar tools empowering stakeholders to better understand their data - Highly motivated, self-directed, curious to learn new technologies Preferred qualifications, capabilities, and skills: - Experience with ThoughtSpot / Python major advantage - Experience with AI/ML or LLM added advantage but not a must-have. Minimum 8 years experience developing advanced data visualization and presentations preferably with Tableau - Experience with Hive, Spark SQL, Impala, or other big-data query tools. AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience - Minimum of 8 years experience working with data analytics projects, preferably related to financial services domain,

Hi, Wishes from GSN!!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is one of our leading MNC client. PFB the details for your better understanding: WORK LOCATION: Bangalore Job Role: Python AIML Developer EXPERIENCE: 5 Yrs - 14 Yrs CTC Range: 25 LPA -35 LPA Work Type: WFO All 5 Days Responsibilities: Expertise in Python: Design, develop, and maintain robust and scalable back-end APIs using Python and relevant frameworks. Implement efficient algorithms and data structures to handle complex calculations and data processing. Integrate with various databases and third-party APIs for data access and functionality. Ensure code quality through unit testing, code reviews, and best practices. Analyze and understand raw data & Develop data pipelines to wrangle data ML model development and algorithm design. Interpret trends and patterns, visualization tool, python graph libs. Good knowledge of python, DS, Pandas, Scykit, NumPy, TensorFlow, keras, etc. Open AI, GCP - AI services (vertex AI, etc.), Azure - AI services, Aws- AI services, MLops, NLP. Contribute to CI/CD pipelines for automated deployments and testing using Kubernetes. Application of opensource and commercial large language models (Desired) Application of machine learning algorithms and techniques for natural language processing. (Desired) If interested, kindly APPLY for IMMEDIATE response Thanks & Rgds SHOBANA GSN | Mob : 8939666294 (Whatsapp) | Email :Shobana@gsnhr.net | Web : www.gsnhr.net Google Reviews : https://g.co/kgs/UAsF9W

Lead a Senior Position / Principal / Dean along with responsibilities of teaching a requisite number of classes, providing guidance and supervision to graduate students, participate in meetings, and providing academic support to other faculty.

We are looking for a highly experienced and dynamic Lead Data Scientist to join our Gen AI team in Kolkata. You should have 10-12 years of hands-on experience in the Data Analytics Industry, with a successful track record of leading and delivering innovative AI solutions. As the Lead Data Scientist, you will be responsible for steering the strategic direction, ensuring technical excellence, and overall success of our data science initiatives. This role presents a unique opportunity to influence the future of AI at Adani while leading a team of talented data scientists. With 10 years of experience in Data Analytics, NLP & Text Analytics and at least 3 years of experience in GenAI & LLM, you should have demonstrable expertise in leading and delivering AI solutions. Your responsibilities will include leading and mentoring a team of data scientists, defining and driving the strategic direction of the Gen AI practice, collaborating with cross-functional teams, developing cutting-edge AI algorithms, and deploying scalable AI solutions that drive operational efficiency and business value. You should possess a Bachelors, Masters, or PhD in Computer Science, Statistics, Mathematics, or a related field, along with relevant certifications in data science, machine learning, or artificial intelligence. Exceptional leadership and team management abilities, strong problem-solving skills, excellent communication, and stakeholder management skills are essential for this role. Furthermore, you should have advanced proficiency in Python, R, or other relevant programming languages, deep understanding of machine learning, deep learning, and natural language processing techniques, experience with big data technologies, and expertise in model deployment and management. If you are passionate about leading high-impact data science initiatives and contributing to the growth of the organization, this Lead Data Scientist role at Adani offers an exciting opportunity to shape the future of AI in a collaborative environment. Join our team and help us drive innovation and make a meaningful impact.,

You should have more than 12 years of IT experience, with 5 to 7 years spent working as a designer and developer using Python. Additionally, you should have at least 3 years of experience in implementing Large Language Models (LLM). Exposure to Llama would be considered a strong advantage in this role. In this position, you will be responsible for design and architecture, with 2 to 3 years of relevant experience in these areas. As an independent resource, you should possess a strong understanding of design patterns and be familiar with best practices in AI, including generating AI. Excellent communication and presentation skills are essential, as you will be collaborating with client technical stakeholders. You should also demonstrate the ability to make informed decisions and influence technical stakeholders effectively. Furthermore, you should be capable of conducting in-depth analyses of the client's technical landscape and proposing solutions that not only benefit the customer but also contribute to new business opportunities.,

Hi, Greetings CGS is hiring 3+ years experienced Data Scientists. Skillset - Python, Ai, ML, LLM, generative Ai, Deep learning, React, Fast API, Cloud No. of positions- 2 Notice period -Immediate to 15 days Location-Chennai (WFO)

Role & rJob Title: Senior Machine Learning Engineer Anomaly Detection & Time Series Forecasting Location: Bangalore Department: Engineering – AI/ML Job Overview: Resolve Tech Solutions is seeking an experienced Senior Machine Learning Engineer to drive the development of AI-driven anomaly detection, time series forecasting, and predictive analytics models for our next-generation observability platform. This role will focus on designing, building, and deploying ML models that provide real-time insights, predictive alerts, and intelligent recommendations powered by LLMs. As a key individual contributor, you will work on solving complex challenges in large-scale cloud environments while collaborating with cross-functional teams. Key Responsibilities: Develop Advanced ML Models: Design and implement machine learning models for anomaly detection, time series forecasting, and predictive analytics, ensuring high accuracy and scalability. Anomaly Detection & Root Cause Analysis: Build robust models to detect abnormal patterns in metric data, leveraging statistical methods, deep learning, and AI-driven techniques. Time Series Forecasting: Implement predictive models to forecast metric trends, proactively identifying threshold breaches and alerting users. LLM-Driven Insights: Utilize Large Language Models (LLMs) to analyze historical incidents, correlate anomalies, and provide recommendations by integrating with ITSM platforms like ServiceNow. Cloud & Big Data Integration: Work with large-scale data pipelines, integrating ML models with cloud platforms such as AWS, Azure, and GCP. Feature Engineering & Data Processing: Design and optimize feature extraction and data preprocessing pipelines for real-time and batch processing. Model Deployment & Optimization: Deploy ML models in production environments using MLOps best practices, ensuring efficiency, scalability, and reliability. Performance Monitoring & Continuous Improvement: Establish key performance metrics, monitor model drift, and implement retraining mechanisms for continuous model improvement. Collaboration & Knowledge Sharing: Work closely with product managers, data engineers, and DevOps teams to align ML solutions with business objectives and platform goals. Requirements: Experience: 5+ years of hands-on experience in machine learning, with a strong focus on anomaly detection, time series forecasting, and deep learning. ML & AI Expertise: Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, and XGBoost. Anomaly Detection: Experience with statistical techniques, autoencoders, GANs, or isolation forests for anomaly detection in time series data. Time Series Forecasting: Strong background in models such as ARIMA, Prophet, LSTMs, or Transformers for predictive analytics. LLMs & NLP: Hands-on experience in fine-tuning and integrating LLMs for intelligent insights and automated issue resolution. Cloud & Data Engineering: Familiarity with cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI) and distributed computing frameworks like Spark. MLOps & Deployment: Experience with CI/CD pipelines, Docker, Kubernetes, and model monitoring in production. Problem-Solving & Analytical Skills: Ability to analyze large datasets, derive insights, and build scalable ML solutions for enterprise applications. Communication & Collaboration: Strong verbal and written communication skills, with the ability to explain ML concepts to non-technical stakeholders. Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Preferred Qualifications: Experience with AIOps, observability, or IT operations analytics. Hands-on experience with reinforcement learning or graph neural networks. Familiarity with Apache Kafka, Flink, or other real-time data processing frameworks. Contributions to open-source ML projects or research publications in anomaly detection and time series analysis. Why Join Us? Opportunity to work on cutting-edge AI/ML solutions for enterprise observability. Collaborative and innovative work environment with top AI/ML talent. Competitive salary, benefits, and career growth opportunities. Exposure to large-scale, cloud-native, and AI-driven technologies. If you are passionate about AI-driven anomaly detection, time series forecasting, and leveraging LLMs for real-world enterprise solutions, we'd love to hear from you!esponsibilities Preferred candidate profile

About the Role: This task requires the creation of original, high-difficulty Q&As in the STEM domain that are not easily searchable online ("non-Googleable"). The questions should be designed to challenge advanced high thinking language models and must be accompanied by accurate, detailed step-by-step solutions. Required Qualifications: Masters degree holders in Biology. Highly proficient in writing equations and expression in LaTeX format. Excellent command of English with superior academic writing abilities. Deep subject knowledge and consistency in delivering high-quality content within tight deadlines. . Strong expertise in the following areas: Algebra, Calculus, Probability, Linear Algebra, Discrete Mathematics, Number Theory, and Differential Equations. Experience in designing structured problem-solving approaches. Prior experience in academic content creation, research, or structured Q&A development is a plus. Skills & Competencies: Strong analytical and problem-solving skills. Excellent attention to detail and logical reasoning. Ability to break down complex problems into structured, step-by-step solutions. Strong communication skills for articulating mathematical reasoning . Preferred Qualifications: Experience in AI/ML-driven problem formulation or model evaluation. Familiarity with educational technology and online assessment platforms. Red teaming experience will be preferred. Interested candidates please share your CV to : mrana@innodata.com

About the Role: This task requires the creation of original, high-difficulty Q&As in the STEM domain that are not easily searchable online ("non-Googleable"). The questions should be designed to challenge advanced high thinking language models and must be accompanied by accurate, detailed step-by-step solutions. Required Qualifications: Masters degree holders in Mathematics. Highly proficient in writing equations and expression in LaTeX format. Excellent command of English with superior academic writing abilities. Deep subject knowledge and consistency in delivering high-quality content within tight deadlines. . Strong expertise in the following areas: Algebra, Calculus, Probability, Linear Algebra, Discrete Mathematics, Number Theory, and Differential Equations. Experience in designing structured problem-solving approaches. Prior experience in academic content creation, research, or structured Q&A development is a plus. Skills & Competencies: Strong analytical and problem-solving skills. Excellent attention to detail and logical reasoning. Ability to break down complex problems into structured, step-by-step solutions. Strong communication skills for articulating mathematical reasoning . Preferred Qualifications: Experience in AI/ML-driven problem formulation or model evaluation. Familiarity with educational technology and online assessment platforms. Red teaming experience will be preferred. Interested candidates please share your CV to : mrana@innodata.com