571 Llm Jobs - Page 20

Must-Have Skills: Proficiency in Generative AI/LLM technologies Hands-on experience with Python and SQL for backend development Expertise in Python web frameworks like Flask, FastAPI, or Django Familiarity with frontend technologies (HTML, JavaScript, React) Strong software development background with cloud experience on Azure/AWS platforms Experience with version control systems such as Git Exposure to DevOps culture with hands on experience in Jenkins for CI/CD would be added advantage. Knowledge on containerization utilizing Dockers and Kubernetes will be added advantage

Job Summary : We are seeking a talented and motivated Python Engineer with a strong background in Generative AI (GenAI) to join our dynamic team. The ideal candidate will have hands-on experience with LLM's and a deep understanding of related AI infrastructure. This role involves developing and maintaining Python-based applications focused on GenAI, working closely with large language models, and applying Retrieval-Augmented Generation (RAG) and Agentic concepts and strategies effectively in projects. Develop, implement, and maintain Python-based applications focused on GenAI. Work closely with LLM's such as OpenAI, Anthropic, Google Bard, or similar to build innovative AI solutions. Apply Retrieval-Augmented Generation (RAG) concepts and strategies effectively in projects. Utilize vector stores to enhance AI workflows and data management. Extract data from text documents and perform web scraping. Build and maintain RAG processing pipelines, applying statistical methods and math fundamentals. Collaborate with cross-functional teams to design and implement scalable and efficient AI systems. Ensure the quality and performance of AI models through rigorous testing and validation. Requirements : Proven experience in Python and App Development (OOP/web development). Expertise in data extraction, web scraping, and working with text documents. Strong background in RAG processing pipelines and the application of RAG fundamentals (strong math and statistics background). Familiarity with ERP systems. Experience in machine learning methods such as clustering, classification, regression, recommendation systems, and semantic analysis. Proficient in English for business communication. Minimum 2-3 years of experience in Python development.

Lead the design, development, deployment of machine learning models for large-scale applications.Drive the architecture of machine learning pipelines from data collection.Experience in LLM technologies, computer vision & ML algorithms AI principles.

Job Title: AI/ML Data Analyst Location: Hyderabad, India Experience: 3-6 years Employment Type: Full-time Working Style: Hybrid(2 days WFO) Notice Period: Immediate to 15 Days(only) The Opportunity: We are seeking a highly skilled AI/ML Data Analyst to develop and deploy machine learning models, optimize data pipelines, and drive AI-driven innovation. The ideal candidate will have expertise in machine learning, artificial intelligence, automation, and data engineering, along with hands-on experience in Node JS, Python, SQL, and data scraping along with experience working with structured and unstructured data. This role requires a strong analytical mindset, problem-solving abilities, and the ability to work with large datasets to drive impactful business solutions. What You Will Do: Develop and deploy machine learning models for predictive analytics and automation. Build and optimize data pipelines using SQL, Python, to process large datasets efficiently. Implement data scraping techniques to extract and preprocess structured/unstructured data from various sources. Work on AI-powered automation to streamline internal workflows and enhance data-driven decision-making. Collaborate with data engineers and product teams to integrate AI/ML solutions into existing systems. Optimize model performance and ensure scalability for real-world applications. Stay updated with the latest advancements in AI, ML, and data engineering. What You'll Need to Succeed: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. 3-6 years of relevant experience with a SaaS or IT Product Development company. Proficiency in Data Analysis leveraging NodeJS and Python, including libraries such as TensorFlow, PyTorch, Pandas, and Scikit-learn. Experience with AI-based Python notebooks such as Databricks, Snowflake, Hex, or Jupyter Experience with data interrogation techniques using technologies such as GenAI, BeautifulSoup, Scrapy, or Selenium. Solid understanding of database technologies (SQL, MySQL, PostgreSQL, etc.). Hands-on experience in building and deploying ML models and based on classification algorithms. Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is a plus. Strong problem-solving skills and ability to work in an agile environment. Preferred Skills: Basic knowledge of data warehousing such as Databricks or Snowflake preferred. Experience in LLMs (Large Language Models), Generative AI, or Transformer-based architectures. Exposure to distributed computing, and cloud infrastructure such as Azure, AWS or GCP. Contributions to open-source AI projects, research publications, or Kaggle competitions.. Interested candidates can mail the resume to swayam@conversehr.com

Hi Candidates, We have Job openings in of or MNC Company Role & responsibilities Excellent communication skills and customer management skills 12+ years of deep technical expertise in distributed transactional scale & digital architectures. Experience in Solution Architecture Experience in Java or .NET and related frameworks Experience in GenAI, ChatGPT, LLM, RAG architectures Experience in CoPilot etc Experience in Cloud solutions. Either AWS or Azure or GCP Experience in Microservices and cloud native architectures Preferred candidate profile -Immediate to 15 days or serving Interested candidates can share details here to chandrakala.c@i-q.co

Mandatory Skills- Gen-AI, Data Science, Python, RAG and Cloud (AWS/Azure) Secondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD : More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen. LTIMindtree Talent Acquisition

JOB DESCRIPTION: LLM & NLP Expertise: Experience with Hugging Face Transformers and similar libraries. Strong understanding of Transformer architectures (BERT, GPT, T5, LLaMA). Hands-on experience with fine-tuning and prompt engineering. Proficiency in tokenization techniques Machine Learning & Deep Learning: Solid background in ML and Deep Learning. Strong Python programming skills. Solid background in PyTorch or TensorFlow.

Short Description: Ford Artificial Intelligence Advancement Center is looking for professionals experienced in NLP/LLM/GenAI, who are hands-on and can employ many NLP/Prompt engineering techniques from traditional statistical/ML NLP to DL-based sequence models and transformers in their day-to-day work. Description: You'll be working alongside leading technical experts from all around the world, on a variety of products involving Sequence/token classification, QA/chatbots, translation, semantic/search and summarization, among others. Responsibilities: Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools. Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities. Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications: Education : Bachelors or master’s degree in computer science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Technical Requirements : Soft Skills : Strong communication skills and do excellent teamwork through Git/slack/email/call with multiple team members across geographies. GenAI Skills : Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. ML/DL Skills : High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others NLP Skills : Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment. Python Project Management Skills Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) Cloud Skills and Computing : Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open-source packages to benchmark and derive summary. Experience in using GPU/CPU of cloud and on-prem infrastructures. Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Deployment Skills : Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. UI : Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Miscellaneous Skills : Data Engineering: Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF) Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs) Experience in Elastic Search and Apache Solr is a plus, vector databases.

Data Scientist (Cloud Management, SQL, Building cloud data pipelines, Python, Power BI, GCP) Job Summary UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities: Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering

Role & responsibilities Translate business goals for Machine Learning to technical requirements, conduct code/design reviews, and drive the technical implementation of web projects throughout the project lifecycle. Collaborate with stakeholders to understand business needs and requirements and convert them into ML requirements and hypothesis. Provide technical guidance and mentorship to team members on ML related tasks. Own and drive specific area(s) of functionality like machine learning implementation for digital commerce including prioritized enhancement stories and development of features for those areas of responsibility. Develop PoCs to validate the feasibility of machine learning implementation Break down complex technical requirements into Epics and Stories for the teams. Explain complex technical concepts of ML to both technical and non-technical stakeholders. Ensure security best practices are integrated into the architecture and design of solutions. Implement and enforce coding quality, standards, best practices and guidelines through code reviews Contribute to a culture of continuous improvement and agile development. Preferred candidate profile Demonstrated experience designing and architecting new technology and platform solutions within the Machine Learning ecosystem Proficient in utilizing Python and well-known machine learning libraries like TensorFlow, PyTorch, and scikit-learn to develop models. Ability to understand complex application data flows and bridge the gap between technical and business app requirement. Skilled in optimizing model performance through effective data preprocessing, cleaning, and feature engineering techniques. Experienced in deploying machine learning models for real-time applications in production environments. Conducted thorough evaluations, selections, and fine-tuning of models to attain high accuracy and efficiency. Excellent written, visual, and oral communication skills, ability to clearly and succinctly communicate with key business partners, including senior executives Excellent collaboration and facilitation skills including the ability to bring together various teams and resources to deliver results Minimum 10 years of software development experience with 5+ years of experience in machine learning implementations leading multiple Machine Learning projects. Data driven approach to problem solving. Understanding of statistical concepts and machine learning algorithms. Experience with data preparation, cleaning, and transformation techniques. Must - RAG, LLM, Python, AI/ML

Job Type: Full-Time Location: Pune & Mumbai (Onsite) Work Timings: 10am to 7pm Experience Required: 9+ Years About the company InCommon is hiring on behalf of Kale Logistics. Kale Logistics Solutions , founded in 2010, is a global cloud-based tech provider serving Fortune 500 companies. Specializing in logistics technology , we offer Cargo Community Platforms that streamline trade-related data exchange. With offices in India, UAE, Kenya, Netherlands, and North America , and 5,500+ clients across 40 countries , we enhance operational efficiency for Logistics Service Providers (LSPs) worldwide. Why Join Kale Logistics Solutions? Impactful Work Be part of a team shaping the future of logistics technology. Innovation-Driven Culture Work on cutting-edge cloud-based enterprise solutions. Global Exposure Collaborate with teams and clients across multiple countries. Growth & Learning Opportunities for professional development and career progressive Position Summary We are looking for a highly skilled Engineer Manager to hire/build & lead Team. Demonstrated Software Management skills including design, agile development, continuous deployment, release planning and measurements. You will collaborate with cross-functional teams to build, deploy, and scaled, cloud-native SAAS products on cloud. If you are eager to work with new technologies, explore emerging trends & able to drive technical excellence, pushing innovation, quality, and operational excellence. Key Responsibilities Hire, build and lead distributed teams. Set and communicate team priorities that support the broader product and customer goals. Align strategy, processes, and decision-making across teams. Collaborate closely with diverse stakeholders and enable them by providing scalable and quality product and solutions. Lead a product vertical and drive product development and deliveries across teams. Work with Business analysts and product managers to explore and establish product requirements and create product roadmaps across modules with teams. Work closely with project managers in driving customer-focused product delivery goals. Oversees project coordination and team allocations. Drive architecture and system design practices, reviews, and validations with architects. Lead product technical production support on issues and incidents and manage and incident response practices. Drive Scrum process improvements across teams. Plan and recommend required capacity, operating procedures, tools, and systems for the teams. Drive engineering metrics to improve product and processes. Conduct managerial interviews for candidates, and train engineering leads and managers on interviews and hiring. Lead KPIs creation and execution, give regular and clear feedback around it, and manage annual performance reviews. Conduct 1:1 and provide management coaching and mentorship. Inculcate a culture of innovation, excellence, and operational efficiency in the team. Actively engage with the broader leadership team Grow a healthy, collaborative engineering culture in line with the company values. Requirements Bachelors or master’s degree in computer science or related areas. 12+ years of total experience. Minimum 5+ years of experience in leading teams. Demonstrated Software Management skills including design, agile development, continuous deployment, release planning and measurements. Experiences in managing multiple products teams, delivering high-quality results on time and within budget into production. Proven track-record of strong execution in delivering results and building high quality SAAS products. Experienced with agile software development methodologies. Good understanding of architecture and design in building scaled, cloud-native SAAS products on cloud. Development experience with languages like C#, python, Java, JavaScript, related web frameworks and Cloud services (Azure, AWS). Experienced in driving technical practices like tech-debt reductions, code reviews, test automations, DevOps etc. Ability to understand, communicate and improve the quality of multiple teams. Ability to drive technical excellence, pushing innovation, quality, and operational excellence. Ability to drive the decisions making for technical and non-technical problems in fast paced environment. Ardent desire to drive change, and ability to adapt to change quickly. Join us in revolutionizing logistics through cutting-edge technology solutions !

Job Summary: We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI) . The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs). You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us! Key Responsibilities: • Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. • Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications. • Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects. Required Skills: • Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch. • Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures. • Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs. • Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib. • Data Handling: Experience working with structured and unstructured data, including text, images, and time-series. Good to have Skills: • Exposure to tools like Hugging Face Transformers for working with LLMs. • Understanding of MLOps practices, including CI/CD pipelines for ML models. • Experience with GPU-accelerated computing. • Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning). • Cloud Platforms: Familiarity with cloud services like AWS Qualifications: • Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field. • 1+ years of professional experience in Machine Learning and Deep Learning. • Proven track record of deploying ML/DL models in production environments

Role & responsibilities Key Responsibilities Develop and maintain backend applications using Node.js and TypeScript Build and optimize RESTful APIs and microservices using Express, Fastify, or AdonisJS Design and manage MongoDB databases, ensuring efficiency and scalability Work with Linux and Bash for server management, automation, and deployment tasks Implement LLM LoRA fine-tuning and optimize LLM models using Hugging Face Transformer Trainer or other advanced techniques (Preferred) Set up and manage CI/CD pipelines , ensuring smooth deployment and integration processes Deploy and optimize cloud infrastructure using AWS Beanstalk or Kubernetes-based infra Would be a plus. Work on AI-driven coding workflows , integrating Vibe Coding methodologies Utilize Generative AI agents like Cursor or Cline to enhance development efficiency Required Skills and Experience 5+ years of experience in backend development with Node.js and TypeScript Proficiency in Express, Fastify, or AdonisJS for building scalable applications Strong expertise in MongoDB , including schema design, indexing, and optimization Hands-on experience with Linux and Bash scripting for system automation Familiarity with Hugging Face Transformer Trainer or LoRA fine-tuning for LLMs (Preferred) Experience in setting up CI/CD pipelines using GitHub Actions, Jenkins, or similar tools Knowledge of AWS Beanstalk, Kubernetes (K8s), or cloud infrastructure deployment Exposure to Vibe Coding methodologies and AI-assisted development tools like Cursor or Cline (Huge Plus) Strong debugging and troubleshooting skills for backend applications Preferred Qualifications Experience with GraphQL or tRPC for efficient API communication Background in distributed systems and microservices architecture Familiarity with serverless computing and cloud-native technologies

Dear Candidate, Urgent openings for " AI Engineer with GEN AI " Experience : 2-6 years Location : Hyderabad Notice : Immediate to 10 days Mode : Work from office Work Timings: 2- 11 PM Mandatory skills : NLP, Python, GEN AI , AI Engineer , LLM Design and implement state-of-the-art AI models, particularly focusing on NLP tasks, using frameworks such as PyTorch, Tensorflow, Scikit-Learn. Fine-tune and adapt pre-trained models to specific applications and domains. At least 1 Year of Experience in working with Gen AI, LLM's, Prompt Engineering, Fine tuning LLM's Proficient programming skills in languages like Python Strong expertise in deep learning frameworks If interested , pls share your updated resume to nandhini@lorventech.com

Job Type: Full-Time Location: Pune & Mumbai (Onsite) Work Timings: 10am to 7pm Experience Required: 2+ Years About the company InCommon is hiring on behalf of Kale Logistics. Kale Logistics Solutions , founded in 2010, is a global cloud-based tech provider serving Fortune 500 companies. Specializing in logistics technology , we offer Cargo Community Platforms that streamline trade-related data exchange. With offices in India, UAE, Kenya, Netherlands, and North America , and 5,500+ clients across 40 countries , we enhance operational efficiency for Logistics Service Providers (LSPs) worldwide. Why Join Kale Logistics Solutions? Impactful Work Be part of a team shaping the future of logistics technology. Innovation-Driven Culture Work on cutting-edge cloud-based enterprise solutions. Global Exposure Collaborate with teams and clients across multiple countries. Growth & Learning Opportunities for professional development and career progressive Position Summary We are looking for a highly skilled AI Engineer to lead the development of innovative Generative and Agentic AI applications. In this role, you will design and integrate AI solutions that leverage state-of-the-art models into web-based applications. You will collaborate with cross-functional teams to build, deploy, and scale AI-powered solutions that drive business value. If you are eager to work with new technologies, explore emerging trends in AI, and contribute to transformative projects, we want you on our team! Key Responsibilities Develop and deploy scalable AI-powered applications using the Python stack. Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices. Build and manage robust APIs for integrating AI solutions into applications. Research and experiment with emerging technologies to discover new AI-driven use cases. Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance. Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives. Apply MLOps principles to streamline AI model deployment, monitoring, and optimization. Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques. Contribute to continuous improvement of development processes and practices. Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution. Requirements Educational Background Bachelors or Masters degree in Computer Science or related fields with a strong academic track record. Experience Technical Skills: 3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks. Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc. Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring. Join us in revolutionizing logistics through cutting-edge technology solutions !

Role & responsibilities Lead the design and development of architectural solutions for complex Gen AI projects. Oversee the implementation of architectural plans and ensure they meet project requirements. - Provide technical guidance and support to the development team. Collaborate with stakeholders to understand project goals and requirements. Develop and maintain architectural documentation and standards. Ensure that architectural solutions are scalable, secure, and efficient. Conduct regular reviews of architectural designs to ensure compliance with best practices. - Identify and mitigate potential risks in the architectural design. Work closely with the project management team to ensure timely delivery of projects Preferred candidate profile Python, Experience in LLMs Llama Agentic AI, RAG, Multi-Agent Experience:-3-10 years Perks and benefits

Role & responsibilities Hope akash meets the requirement. Design, develop, test, and deploy AI models and systems using various frameworks and tools. Monitor and evaluate the performance and accuracy of AI models and systems in production. Identify and troubleshoot issues related to data quality, model drift, scalability, and reliability. Optimize and automate the AI model lifecycle using MLOps best practices. Collaborate with data scientists, ML engineers, and business stakeholders to understand the requirements and objectives of AI projects. Research and implement new AI techniques and methodologies to improve the existing solutions and explore new opportunities. Research and Development: Stay abreast of the latest advancements in AI/GenIA, explore novel applications, and develop proof-of-concept projects. Model Selection and Fine-tuning: Select and fine-tune pretrained GenAI models (e.g., GPT4, LLaMa) for specific tasks, including text generation, image creation, code synthesis, etc. Data Exploration and Preparation: Prepare and analyze data sets for training and evaluation of GenAI models, ensuring data quality and addressing potential biases. Experimentation and Evaluation: Conduct experiments to assess the performance of GenAI models and compare different architectures and approaches. Application Integration: Develop and integrate GenAI models into existing or new applications, leveraging frameworks like LangChain for seamless orchestration. Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, product managers, and designers to bring GenAI solutions to life. Contribute to Knowledge Sharing: Document your findings, share best practices, and contribute to the team's knowledge base. Preferred candidate profile Perks and benefits

What youll be doing... The Commercial Data & Analytics is part of the Verizon Global Services (VGS) organization. The team supports initiatives to uncover actionable insights that drive business value. As part of this team, you will lead a team of data scientists in uncovering actionable insights that drive significant business value and will leverage your deep understanding of data structures, organization, transformation, and aggregation techniques to lead complex data analysis projects. You will apply your expertise in statistical modeling, machine learning, and advanced analytics to extract meaningful patterns and trends from large and complex datasets. You will guide the team in utilizing their proficiency in Python/R and data visualization tools to effectively communicate findings to stakeholders and influence strategic decision-making at all levels of the organization. Lead complex data science projects end-to-end, from ideation and problem definition to model development, deployment, and ongoing monitoring. Serve as a thought leader and mentor to other data scientists, providing technical guidance and fostering a culture of innovation and excellence within the team. Proactively identify and explore new opportunities to leverage data science and machine learning to solve critical business challenges and drive strategic advantage Develop and maintain strong relationships with key stakeholders across the organization, effectively communicating complex technical concepts and insights to influence decision-making at all levels. Stay ahead of the curve in data science and AI. Share your expertise and actively explore new technologies to benefit the team. Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques and modeling approaches to deliver impactful solutions. Expertly manipulate and prepare data for modeling, leveraging your knowledge of data structures, transformation techniques, and feature engineering to optimize model performance. Lead the design, development, and validation of sophisticated statistical models and machine learning algorithms to address complex business challenges and drive strategic decision-making. Develop and implement rigorous model validation frameworks to ensure the accuracy, reliability, and generalisability of your models, adhering to best practices in statistical modeling and machine learning. Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What were looking for... You will need to Have: Bachelors degree or four or more years of work experience. Six or more years of progressive experience as a Data Scientist, with a proven track record of leading and delivering high-impact data science projects Deep expertise in a wide range of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, time series analysis, and reinforcement learning. Expert-level proficiency in Python and/or R, including extensive experience with relevant machine learning and data manipulation libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy, ggplot2, caret, etc). Mastery of SQL and experience with large datasets and distributed computing environments. Exceptional communication and presentation skills, with the ability to effectively communicate complex technical concepts and insights to both technical and non-technical audiences, including senior leadership. Ability to collaborate effectively across teams for data discovery and validation Excellent communication and presentation skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences. Even better if you have one or more of the following: Experience with supply chain and business operations processes Experience in maintaining repositories in Git Experience with dashboards creation using Tableau/QLIK/Looker Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Practical experience or strong theoretical understanding of large language models (LLMs) and their applications in a business context. An understanding of the ethical considerations and potential biases associated with generative AI, and strategies for responsible development and deployment. Contributions to open-source projects or publications in relevant data science or machine learning conferences. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI

Mandatory Skills Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills Azure/AWS, MLOps, Kubernetes, GitHub/Bitbucket, GPT-4, Banking exposure Job Description / Roles & Responsibilities (in Detail) Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. Experience in building and deploying generative AI systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative AI models. Collaborate with cross-functional teams to groom and preprocess large datasets for model training. Participating in due diligence activities to understand existing process, tech stack, platforms etc and expand/reuse the existing capabilities. Research and implement cutting-edge algorithms and architectures for generative AI applications. Optimize model performance and scalability for real-time inference and deployment. Stay current with industry trends and advancements in generative AI technology to drive innovation. Experiment with different hyperparameters and model configurations to improve generative AI model quality. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services. Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders • Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies.

We are looking for a Generative AI Integration Developer to join our client's team and work on cutting-edge AI solutions. The ideal candidate should have hands-on experience with Large Language Models (LLMs) and Foundation Models, integrating them into enterprise applications. Job Title: Generative AI Integration Developer Experience: 7 12 years overall experience including a minimum 3+ years of hands-on experience in AI/ML development, LLM integration, or Generative AI agent development, with a strong focus on prompt engineering and fine-tuning pre-trained models Employment Type: Full-Time Salary: Best in the industry Key Responsibilities: Develop and integrate LLMs (e.g., OpenAI, Claude, Titan) using APIs. Design and build AI-powered interfaces and agents for seamless user interaction. Implement prompt engineering techniques to optimize AI responses. Work on Python-based microservices using Flask, Django, or similar frameworks. Collaborate with cross-functional teams to deploy AI solutions. Monitor and optimize AI performance using analytics tools. Stay updated with the latest trends in Generative AI and NLP. Required Skills: Strong programming experience in Python with frameworks like FastAPI, Flask, or Django. Expertise in working with AI APIs from OpenAI, Anthropic, or Hugging Face. Experience in system integration, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines. Knowledge of NLP concepts, prompt engineering, and AI model fine-tuning. Strong problem-solving and communication skills. Preferred Skills: Experience with conversational AI frameworks like Rasa or Dialogflow. Background in UX/UI for AI-driven interfaces. Knowledge of vector databases (Pinecone, Weaviate) and Retrieval-Augmented Generation (RAG). If you're passionate about AI and want to work on innovative solutions, apply now!

Experience in building and deploying generative AI systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative AI models. Collaborate with cross-functional teams to groom and preprocess large datasets for model training. Participating in due diligence activities to understand existing process, tech stack, platforms etc and expand/reuse the existing capabilities. Research and implement cutting-edge algorithms and architectures for generative AI applications. Optimize model performance and scalability for real-time inference and deployment. Stay current with industry trends and advancements in generative AI technology to drive innovation. Experiment with different hyperparameters and model configurations to improve generative AI model quality. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services. Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies. Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.

Roles and Responsibilities : Design, develop, test, and deploy AIML (Artificial Intelligence Markup Language) solutions using Python programming language. Collaborate with cross-functional teams to integrate AIML models into existing systems and applications. Develop predictive models using regression techniques to solve complex business problems. Troubleshoot issues related to AIML model performance, data quality, and system integration. Job Requirements : 5-7 years of experience in developing AIML-based applications or similar technologies. Strong proficiency in Python programming language with expertise in ML libraries such as scikit-learn or TensorFlow. Experience with building predictive models using regression techniques for solving real-world problems.

We are looking for a Generative AI Integration Developer to join our client's team and work on cutting-edge AI solutions. The ideal candidate should have hands-on experience with Large Language Models (LLMs) and Foundation Models, integrating them into enterprise applications. Job Title: Generative AI Integration Developer Experience: 7 12 years overall experience including a minimum 3+ years of hands-on experience in AI/ML development, LLM integration, or Generative AI agent development, with a strong focus on prompt engineering and fine-tuning pre-trained models Employment Type: Full-Time Salary: Best in the industry Key Responsibilities: Develop and integrate LLMs (e.g., OpenAI, Claude, Titan) using APIs. Design and build AI-powered interfaces and agents for seamless user interaction. Implement prompt engineering techniques to optimize AI responses. Work on Python-based microservices using Flask, Django, or similar frameworks. Collaborate with cross-functional teams to deploy AI solutions. Monitor and optimize AI performance using analytics tools. Stay updated with the latest trends in Generative AI and NLP. Required Skills: Strong programming experience in Python with frameworks like FastAPI, Flask, or Django. Expertise in working with AI APIs from OpenAI, Anthropic, or Hugging Face. Experience in system integration, cloud platforms (AWS/GCP/Azure), and CI/CD pipelines. Knowledge of NLP concepts, prompt engineering, and AI model fine-tuning. Strong problem-solving and communication skills. Preferred Skills: Experience with conversational AI frameworks like Rasa or Dialogflow. Background in UX/UI for AI-driven interfaces. Knowledge of vector databases (Pinecone, Weaviate) and Retrieval-Augmented Generation (RAG). If you're passionate about AI and want to work on innovative solutions, apply now!

Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. Curious to know what its like to work at Evalueserve? About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve: Communicate with internal and external clients to understand business problems, participate in brainstorming sessions, and explore and propose suitable solutions Collect data, optimize data models, and evaluate results Improve existing model developments, wherever applicable Work with solution architects, back-end and front-end teams, etc., to successfully implement assigned use cases Ensure output quality and adhere to project timelines Support the development of AI-based solutions and platforms for various business partners across the globe Graduate / postgraduate in computer science, mathematics, engineering, or a related field More than three years of hands-on experience in programming languages such as Python and C++ Academic background in machine learning, deep learning, and natural language processing Experience in open-source ML frameworks such as TensorFlow, Keras, and PyTorch Experience in GenAI, knowledge graphs, ranking algorithms, and / or recommendation engines will be advantageous Experience in computer vision / image recognition will be advantageous What we're looking for: Knowledge and experience of building solutions based on large language models, such as GPT, Vicuna, LlaMa-2, and falcon. Experience in LLM fine-tuning will be advantageous In-depth knowledge of vector databases, such as Weaviate, Milvus, and Pinecone Showcase a flexible attitude to new technology and methodologies with a change in clients and business questions Extensive knowledge on NLU, NLP, and common NLP algorithms such as BERT, word2vec, FastText, and ELMO Be familiar with general software design concepts, product development lifecycles, and machine learning model deployments Knowledge of data structures and No-SQL databases Ability to stay updated and quickly grasp new concepts Passionate about learning and growing in the industry Entrepreneurial mindset, coupled with a can do attitude Good verbal and written communication and presentation skills Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

For maintenance: Python Azure Functions, Durable Function App Azure ML / Azure AI Azure DevOps LLM basics: Azure OpenAI Prompt Engineering techniques FastAPI Azure AI Document Intelligence, open-source models for OCR, extraction