We're simultaneously building - Digital communication products (video, chat and call consultations with Doctors) Ecommerce products (medicine delivery) Hyperlocal products (Lab tests @ Home) Transactions tools (for all healthcare transactions) Booking of services (for in clinic doctor consultations) Data security, data science stack (NLP, imaging, video, audio based data problems and data analytics) B2B stack (for large corporates to provide healthcare to employees and large insurers to provide healthcare services to policyholders) We like to work with people who make product decisions with a thorough understanding of user needs as well as being well informed on data and the business context. As a Product Manager you will work closely with the Engineering, Design, Business and Operations team, enabling them by providing scalable and high-quality technology solutions at a fast paced environment. What will you do at Medibuddy? Part of the core team that defines business goals, creates product strategy, design roadmap for one of our business lines. Identify and build the growth levers that can unlock new growth trajectory. Define success metrics for your product area, and drive alignment for all product efforts to those measures. Always be testing! You will create hypotheses for new features, analyze results, and iterate. Collaborate with other product managers, engineers, designers, sales, marketing, legal, analytics and do everything (defining requirements, prioritizing, testing, writing copy, tracking metrics etc.) to ship high quality products Experience with sprint management: Timely creation of PRDs, assisting technology team in understanding product requirements, timely feature releases and proper documentation Bring in independent thought, challenge conventional approaches, and identify opportunities to drastically simplify ways of doing things using technology Self-driven, like to work fairly independently, and drive progress without needing constant oversight or direction Track, report and optimize all relevant metrics for business. What makes you a match for us? 2-3 years of solid PM experience ( Not Product Analyst experience) Experience in a startup environment is a plus Body of work Some experience in conversion or retention use cases is a plusExcellent in execution Some experience in e-commerce /marketplaces will be helpful Proficient in user based research and tools Note : Body of work ( at least one or two concrete examples ) should be deep and not broad - Meaning going deep into problem solving ( can be evaluated in interviews) Data driven decision making Understanding of tech systems in general for managing pods Stakeholder management

We have an urgent requirement for an "Senior AI/ML Engineer with Gen-AI" for the Hyderabad (WFO) location. Please find below the job description for your reference. Experience: 6+ years Notice Period: Immediate Job Location: Hyderabad (Work from office) Key Responsibilities: Architect AI/ML systems as well as integrating AI/ML features into business apps Solution and execute end-to-end Generative AI projects with Open AI, GPT-4, Llama-2 etc. Experience in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 1 year in Generative AI. Develop end-to-end NLP Deep models Assist in Conversational AI, Information retrieval, Knowledge Management Research and implement appropriate ML algorithms and tools Build and manage Supervised and Unsupervised ML algorithms Select appropriate datasets and data representation methods, Perform statistical analysis and fine-tuning using test results Utilize AWS Lambda, EC2 Services to build solution and Provide code deployments Communicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs). As a Senior Machine Learning Engineer, you will possess the following essential strengths, skills, and competencies. Problem-Solving Skills: Strong emphasis on product development. Communication Skills: Excellent written and oral communication, and strong interpersonal skills. Independence: Ability to thrive in a fast-paced environment and work independently. Analytical Skills: Experience performing root cause analysis to answer specific business questions. Programming Languages: Familiarity with Scala (preferred), Python & SQL Predictive Modelling and Analysis: Experience in machine learning and algorithm development. Mathematical Skills: Solid foundation in statistics, calculus, and linear algebra. Model Deployment: Experience productizing and deploying machine learning models. Data Warehousing: Experience with data warehouse tools (Snowflake preferred). Data Pipeline Management: Experience with data pipeline and workflow management tools (Airflow preferred). Engineering: Experience in Prompt engineering with LLM Development using Lang chain. Semantic Kernel, Open Source/ API based LLMs or similar. API Development: Experience building scalable APIs in Python (using FastAPI is a plus). • Data Processing: Working knowledge of data processing packages (e.g., NumPy, SciPy, pandas). Please share your CV along with below mentioned details to "hr@awone.ai". Total Experience: Relevant Experience: Current CTC: Expected CTC: Notice Period: Current Location: Interested to relocate Hyderabad :

The Team: Join our innovative and collaborative team at S&P Global's IT - Enterprise Technology department. We pride ourselves on fostering a culture that values excellence, teamwork, and continuous learning. Our team is dedicated to pushing the boundaries of AI technology and delivering impactful solutions that drive business success. Job Description: We are seeking a motivated and talented Senior Data Scientist to join our team and assist with GenAI projects. This is an excellent opportunity for someone looking to gain hands-on experience in cutting-edge AI technologies and cloud solutions. Responsibilities and Impact: Assist in the development and implementation of GenAI projects, contributing to the advancement of AI capabilities within the organization. Write clean, efficient, and maintainable code in Python to support various AI initiatives. Collaborate with the team to design and implement cloud-based solutions. Deploy and manage code using GIT, ensuring seamless integration and version control. Participate in code reviews and contribute to improving coding standards, fostering a culture of excellence. Troubleshoot and debug issues related to code and cloud infrastructure, ensuring system reliability. Document processes, code changes, and project updates to facilitate knowledge sharing and transparency. What Were Looking For: Basic Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related field, or equivalent work experience. Minimum 5 to 8 years of experience in data science roles. Strong programming skills in Python. Knowledge and working understanding of ML algorithms and NLP. Advanced knowledge of various services in a Cloud platform, preferably AWS. Experience with version control systems, particularly GIT. Completed projects using open/closed source Gen AI models. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Additional Preferred Qualifications: Experience with AI frameworks such as Langchain, LamaIndex Knowledge of containerization technologies like Docker. Understanding of CI/CD pipelines and DevOps practices.

HCL is looking for technical expert with a deep knowledge in machine learning and Natural language processing. The individual will be working on a cutting edge research project working alongside with best in industry researchers in AI, ML and NLP area. Job Title : Tech Architect Role & Responsibilities Research, develop, optimize and productize for artificial intelligence and machine learning applications. Skills & Competencies In-depth knowledge of machine learning, text extraction and image processing techniques & Natural Language Processing Experience in developing machine learning, text extraction and image processing algorithms, and optimizing the existing algorithms. Coding experience in Python. Experience in products like Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV or similar tools. Experience working with Cloud Services AWS, Azure etc. Takes ownership of self-professional development The desired candidate should be a quick thinker and should have a track record of high performance product development. Additionally, the candidate should be innovative, dedicated and result oriented. Research experience is preferred. Strong background in Math specially in statistics , modelling and matrices Qualification Experience – 10 years Education –Master’s Degree in Computer Science If interested please share your resumes to jyothiveerabh.akula@hcl.com

About the Role: A analyst is responsible for gathering, organizing, and analyzing data from various sources. They work closely with different teams to understand their data needs and develop efficient data collection processes. The analyst must have strong technical skills in data harvesting, data science, and automation. They should also be proficient in programming languages like Python and have experience with data structures and multi-threading. The analyst will collaborate with other developers, participate in requirement gathering, and contribute to project planning activities. They should be able to work independently, monitor project status, and identify any issues that may impact the project's goals. The analyst must continuously learn and expand their knowledge in their area of specialization. Overall, the role requires a strong aptitude for problem-solving, attention to detail, and the ability to work in a dynamic environment. The Team: The Sourcing Automation Team specializes in automating content extraction from various sources including web, APIs, SFTPs, and the cloud. We then transform and process this content to ensure its value and deliverability to end users through end-to-end automation. Our team has a strong expertise in Robotic Process Automation (RPA) and utilizes technologies such as Python, AWS, Azure, SharePoint, APIs, Kafka, data lakes, and advanced Excel functionalities to enhance our automation solutions. Responsibilities and Impact: Work as part of an RPA development team to design, estimate, develop and implement software solutions that satisfy the business requirements Strong technical skill for data harvesting for multiple regions and multilingual websites with ease of maintenance Strong programming skills in Python Automation preferably in Windows environment Exposure in OOPS, Data Structures, Multi- threading, and Selenium tool Working knowledge of Configuration Management systems like GIT and build tools Should be able to work on a different technology or adaptive enough to learn new technologies as per project need What Were Looking For: Basic Required Qualifications: BE degree in Computer Science, related field, and 1.5+ years of experience in programming skills Expertise with Python, Data harvesting, Data science, Data capture, NLP, Automation, JavaScript, Typescript, Html, JSON, OOPS, Data Structures, Multi- threading Experience with relational or SQL databases Experience with RESTful Web Services Additional Preferred Qualifications: Experience with C#, .NET Core, design patterns Capable of performing tasks in a dynamic/changing environment

Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production. ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting. NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applications Core Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management. BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar. Education: Bachelors or Masters degree in Computer Science / Data Science, or a related field.

BTech / MCA / MSC Year of Pass Out Should be 2022/ 2023 Minimum 60% and above in Academics ( 10th, 12th & Engineering ) Good in Analytical and reasoning skills. Communication skills need to be good. Look for candidates who have done some Technical Certification. Minimum Knowledge in Core Java, Spring, Java Script, SQL Interview Process: Online Aptitude Test & Coding Test F2F Manager Round -Technical and Coding HR Round Job Notification Start Date : 18th March 2025 Last date of Apply through Naukri and Other Social Media: 5 Th April 2025 Interviews Start Date : 10 th April 2025 Online Aptitude Test Dates: 10 Th April to 20 Th April F2F Manager Round Interview Dates : 25 Th April to 15 Th May HR Interviews : 20 Th May to 15 June 2025 Joining Date : 30 Th June / 1 St July 2025 Note: HR and Recruitment team coordinate to shortlisted applications through email and phone communication only, no physical Prescence required till 25 Th April, hence requested you please don't come to office for resume submission.

BTech / MCA / MSC Year of Pass Out Should be 2022/ 2023 Minimum 60% and above in Academics ( 10th, 12th & Engineering ) Good in Analytical and reasoning skills. Communication skills need to be good. Look for candidates who have done some Technical Certification. Minimum Knowledge in Core Java, Spring, Java Script, SQL Interview Process: Online Aptitude Test & Coding Test F2F Manager Round -Technical and Coding HR Round Job Notification Start Date : 18th March 2025 Last date of Apply through Naukri and Other Social Media: 5 Th April 2025 Interviews Start Date : 10 th April 2025 Online Aptitude Test Dates: 10 Th April to 20 Th April F2F Manager Round Interview Dates : 25 Th April to 15 Th May HR Interviews : 20 Th May to 15 June 2025 Joining Date : 30 Th June / 1 St July 2025 Note: HR and Recruitment team coordinate to shortlisted applications through email and phone communication only, no physical Prescence required till 25 Th April, hence requested you please don't come to office for resume submission.

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Required Skills: Domain: Fintech (Banking / Lending, LOS, LMS, Collections) 6+ years of experience in AI/ML and Gen AI technologies. Strong expertise in machine learning algorithms, data analysis, natural language processing, and generative AI technologies. Hands-on experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Keras, and others. Proficient in programming languages such as Python, R, and SQL. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools for model deployment, monitoring, and maintenance. Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for AI/ML workloads. Understanding of ethical AI principles and data privacy regulations. Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). Proficient in using version control systems like Git for collaborative development. Knowledge of deep learning techniques and frameworks for neural networks.

Gen AI Developers Generative AI - GPT3, ML Ops and Python Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools Hybrid-Noida Immediate joiner Shruti - 9891918226 shruti.imaginators22@gmail.com Required Candidate profile vector databases RDBMS, MongoDB and NoSQL databases

Agent Development: Design, implement, and optimize AI agents using Microsoft CoPilot and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Microsoft Power Automate, Azure AI, and CoPilot features. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements: Bachelors or Masters degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment, with expertise in CoPilot and related technologies. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, dynamic environment.

JD For Senior Data Scientist Generative AI & Advanced Analytics Experienced Senior Data Scientist with expertise in Generative AI and the full software system lifecycle. The ideal candidate will bring deep industry experience, technical excellence, and leadership in developing and deploying large-scale AI/ML solutions. You will drive innovation, shape AI strategies, and lead cross-functional teams to integrate advanced machine learning capabilities into enterprise systems. This role is ideal for someone passionate about architecting AI-driven solutions, optimizing end-to-end analytics workflows, and mentoring teams. Eligibility & Qualifications Minimum Qualifications Bachelor’s/Master’s/Ph.D. in Computer Science, Data Science, AI/ML, or a related field. 8-11 years of experience in Data Science, AI/ML, and Analytics, with a focus on end-to-end software system development. Expertise in Python, distributed computing, and cloud platforms (AWS, Azure, GCP). Experience in designing, deploying, and maintaining AI/ML solutions at scale. Strong leadership experience in guiding technical teams, shaping AI strategies, and managing projects from concept to deployment. Technical Expertise Required Deep expertise in Generative AI and Machine Learning, with hands-on experience in: LLMs & NLP: Prompt engineering, Retrieval Augmented Generation (RAG), Corrective RAG, Knowledge Graph-based RAG. Model Fine-tuning: LoRA/QLoRA, parameter-efficient tuning, multi-agent architectures. AI System Design: Developing AI-powered applications in production environments. Deep Learning & ML Algorithms: Transformers, SVMs, Ensemble Learning, Reinforcement Learning. . Strong background in end-to-end AI solution deployment:

Hi Techies , 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 hiring Data Science for one of our leading MNC client. PFB the details for your better understanding: 1. WORK LOCATION: Bangalore 2. Job Role: Data Science 3. EXPERIENCE: 4 -15 yrs 4. CTC Range: 18 LPA - 30LPA 5. Work Type: Hybrid ****** Looking for SHORT JOINERs ****** Job Description: Technical Skills - Must Have Knowledge of Natural Language Processing (NLP)techniques and frameworks like Spacy, NLTK, etc. and good knowledge of Text Analytics Should have strong understanding & hands on experience with machine learning frameworks like scikit-learn, tensorflow, keras and deep learning architectures like RNNs and LSTM , BERT Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases . Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization Strong understanding of evaluation and monitoring metrics for machine learning projects Strong understanding of containerization using docker and Kubernetes to get the models into production Ability to Translate complex machine learning problem statements into specific deliverables and requirements Adept at Python Scripting ****** Looking for SHORT JOINERs ****** Thanks & Regards, Shobana GSN Consulting Email: shobana@gsnhr.net Web: www.gsnhr.net Google Review : https://g.co/kgs/UAsF9W

Role & responsibilities Design, develop, and deploy AI models to solve complex business problems and generate actionable insights. Work closely with stakeholders, including business leaders, product managers, and engineers, to understand requirements, define project goals, and develop AI powered solutions. Analyse large, complex datasets to identify patterns, trends, and correlations. Clean, transform, and preprocess data to ensure its accuracy and reliability. Keep abreast of the latest advancements in AI, Machine learning, and big data technologies. Identify and recommend new tools, methodologies, and best practices to improve data science capabilities within the organization. Provide guidance and mentorship to junior data scientists, helping them grow their skills and expertise in data science techniques and methodologies. Collaborate with external partners, such as research institutions or universities, to explore innovative AI approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Preferred candidate profile Ph.D, Masters or Bachelors degree in computer science, AI, Mathematics, or a related field. 4+ years of professional experience in AI, machine learning, or a related field. Good mathematical understanding of machine learning and deep learning algorithms. Proficiency in programming languages such as Python, R, or Scala, along with experience using DL frameworks like TensorFlow, PyTorch etc. Experience in REST API development Strong problem-solving skills and the ability to work independently or in a team-oriented, collaborative environment. Perks and benefits Competitive Salary and Benefits. Opportunity to be part of a fast-paced and growing startup. Grow your career with the company. Ownership - You will own your initiative and be given specific responsibilities. Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe. Dynamic and respectful work environment – we truly value you!

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

Job Details: Experience - 6 to 15 yrs Mandatory Skills - Python, Prompt Engineer, NLP, Azure, RAG and GPT4 Location - Mumbai, Pune, Bangalore, Chennai, Hyderabad and Kolkata location. Notice - Immediate to 30 days Job Description Prompt engineers having AI and NLP AI models and Python skills Expertise in Prompt Engineering worked on GPT4 and other variants of GPT model Developing testing and refining AIgenerated text prompts Collaborating with content product and data teams to align prompts with the user needs Continuously improving prompt quality performance and the overall AI prompt generation process Prompt tuning in context Learning Prompt modification

Job Details: Experience - 6 to 12 yrs Mandatory Skills - Machine Learning & NLP, RAG & Text-to-SQL Azure Cloud. Model Optimization & Fine-Tuning, Python (LangChain, LlamaIndex), Data Analytics & SQL Location - Mumbai, Pune, Bangalore, Chennai, Hyderabad and Kolkata location. Notice - Immediate to 30 days Job Summary: Develop and optimize AI models for business-specific use cases. Perform data analysis, feature engineering, and model training. Implement and fine-tune NLP and machine learning algorithms. Evaluate model performance and ensure continuous improvements. Work with engineers to deploy models in production environments.

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 Description: Backend Developer (Node JS, Python, NLP, Gen AI) Work Location: Bangalore Work Shift: 4:00PM-12:00AM No of openings: 2 We are seeking highly skilled Backend Developers with an experience range of 5 years -15 years to join our dynamic team. The ideal candidates should have strong expertise in Node.js , along with experience in Python, Generative AI (Gen AI), and Natural Language Processing (NLP) preferred. Additionally, experience working with MongoDB, AWS Lambda, and cloud-based deployments is required. Key Responsibilities: • Design, develop, and maintain scalable applications using Node.js and Python. • Implement and optimize NLP models and Gen AI solutions for various applications. • Develop and manage RESTful APIs and microservices using Node.js. • Work with MongoDB for database management and optimization. • Deploy and manage applications in AWS Lambda and other AWS services. • Collaborate with cross-functional teams to integrate AI-driven solutions into the platform. • Troubleshoot and debug applications, ensuring high availability and reliability. Required Skills & Experience: • 5-15 years of hands-on experience in Backend Development using Node Js. • Strong proficiency in Python, especially in AI/ML frameworks (TensorFlow, PyTorch, etc.). • Experience working with Natural Language Processing (NLP) or Generative AI models. • Proficiency in MongoDB, including database design and performance tuning. • Hands-on experience with AWS Lambda and serverless architectures. • Strong knowledge of REST APIs, GraphQL, and microservices. • Experience with Docker, Kubernetes, and CI/CD pipelines is a plus. • Ability to work in an Agile environment and collaborate with remote teams.

Overview We are seeking a highly skilled and motivated Reporting Gen AI Developer to join our team. The ideal candidate will be responsible for developing and implementing advanced AI-driven reporting solutions to enhance our data analytics capabilities. This role requires a deep understanding of AI technologies, data visualization, and reporting tools Responsibilities Develop and implement AI-driven reporting solutions to improve data analytics and business intelligence. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Design, develop, and maintain interactive dashboards and reports using tools like Power BI, Tableau, or similar. Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. Optimize data models and reporting processes for performance and scalability. Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Ensure data accuracy, consistency, and integrity in all reporting solutions. Stay updated with the latest advancements in AI and reporting technologies and apply them to improve existing solutions. Provide training and support to end-users on how to use and interpret AI-driven reports.Consult with the Data & Analytics team and Reporting Factory developers to build the required data infrastructure needed to host and run Reporting Gen Ai solutions Qualifications Bachelors degree in computer science, Data Science, AI/ML, or a related field. 7-9 years overall experience; 4+ years of professional experience working directly on the design, development and rollout of AI/ML/GenAi Solutions Proven experience in developing AI-driven reporting solutions. Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus. Experience / involvement in organization wide digital transformations preferred Knowledge of natural language processing (NLP) and its application in reporting. Experience with big data technologies like Hadoop, Spark, or similar. Familiarity with data warehousing concepts and tools. Understanding of business intelligence and data analytics best practices.

Overview - Build High complex Reporting Gen Ai solutions, by integrating with the PEPGENX Platform - Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. - Optimize LLM, data models and reporting processes for performance and scalability - Ensure LLM Models are grounded through Prompt Engineering, RAG & Other methods - Build or Modify Orchestration layers as needed - Apply Evaluation Techniques to validate LLM's accuracy - Ensure data/model accuracy, consistency, and integrated in all reporting solutions. - Conduct Various Tests like: SIT, UAT & More, fix all the bugs or issues identified - Perform Code Scan and fix any anomalies identified during the scan - Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications - Stay updated with the latest advancements in GenAi and reporting technologies and apply them to improve existing solutions Responsibilities - Build High complex Reporting Gen Ai solutions, by integrating with the PEPGENX Platform - Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. - Optimize LLM, data models and reporting processes for performance and scalability - Ensure LLM Models are grounded through Prompt Engineering, RAG & Other methods - Build or Modify Orchestration layers as needed - Apply Evaluation Techniques to validate LLM's accuracy - Ensure data/model accuracy, consistency, and integrated in all reporting solutions. - Conduct Various Tests like: SIT, UAT & More, fix all the bugs or issues identified - Perform Code Scan and fix any anomalies identified during the scan - Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications - Stay updated with the latest advancements in GenAi and reporting technologies and apply them to improve existing solutions Qualifications - Masters degree in computer science or data science or AI/ML, or a related field. - 8-11 years overall experience; 6+ years of professional experience working directly on the design, development and rollout of AI/ML/GenAi Solutions - Proven experience in developing AI-driven reporting solutions. - Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar. - Proficiency in programming languages such as Python, R, or SQL. - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. - Ability to work independently and as part of a team. - Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus. - Experience / involvement in organization wide digital transformations preferred - Knowledge of natural language processing (NLP) and its application in reporting. - Experience with big data technologies like Hadoop, Spark, or similar. - Familiarity with data warehousing concepts and tools. - Understanding of business intelligence and data analytics best practices.

Location:Bangalore, Chennai, Pune, Hyderabad Must have skills:Developing interactive models using conversational platforms and deep understanding of customer-centered design processes Good to have skills: Consulting experience Job Summary : As part of the team, you will provide transformation services driven by key offerings like Living Marketing, Connected Commerce and Advanced Customer Engagement. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. Roles & Responsibilities: Ideate and execute on compelling design workshops Identify use cases and user journeys that can benefit from conversational experiences. Own every stage of the conversation design process, from research and design to conversational scripting and QA. Define NLP requirements and work with the AI/Discovery team to deliver solutions Advise clients on industry best practices (when appropriate) Accurately estimate time to complete work Continually experiment with new tools and technologies Ability to research and provide strategic, goal-driven solutions for clients Collaborate with other designers, both offshore & onshore, including Co product managers, developers, UX designers and other stakeholders across the organization. Provide useful contributions to team meetings and conversations, actively participating in client meetings and workshops- Ability to create hypothesis based on understanding of clients issues Work efficiently across VoiceFlow, Botsociety, Kore.AI, Visio, Adobe HD and Figma.The profile requires both technical and functional experience on Customer Service Domain Extensive customer experience and operational excellence Having executed similar projects is mandatory Professional & Technical Skills: Apply best of breed digital practices- Deep-dive with solid knowledge of industry tools and understanding of designing intuitive and responsive user experiences. Maximize experience in developing interactive models:Use relevant conversational platforms to design and apply interactive models Use deep understanding of customer-centric design processes:Apply working knowledge of customer-centered design, complemented with consulting experience Innovate with Creativity:Demonstrate an ability to work in a fast-paced environment with the ability to abstract detail into larger patterns. Lead pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort and cost estimation process, etc. Lead practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends and bringing in innovative solutions, etc. Additional Information: An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Qualifications Experience:10+ years of digital experience and solid knowledge of industry tools and understanding of designing intuitive and responsive user experiences. Educational Qualification:MBA from a tier 1 institute