217 Llms Jobs - Page 9

Work Experience: Overall 10+ years of quality engineering experience with DWH/ETL for enterprise grade applications Hands on experience with functional, non-functional and automation of products Hands on experience with leverage LLMs/GenAI for improving efficiency & effectiveness of overall delivery process Role & Responsibilities: Leading end-to-end QE for product suite Authoring QE test strategy for a release and executing it for a release Driving quality releases by closely working with development, PMs, DevOps, support and business teams Achieving automation coverage for product suite with good line coverage Manage risks and resolves issues that affect release scope, schedule and quality Work with product teams to understand impacts of branches and code merges, etc. Lead and co-ordinate the release activities including the execution of overall Ability to lead team of SDETs and help them in addressing their issues Mentoring and coaching members in the team Technical Skills: Experience in ETL / BI Testing, using any ETL and Reporting Tool with Oracle / SQL Server / as Database Exposure to Data Warehousing and Dimensional Modelling Concepts Hands-on with coding preferably Python Extensive experience in writing and troubleshooting SQL Queries Ability to achieve good functional coverage of product suite Hands on experience with automation tools (Selenium, TestNg, etc.) Experience with CI/CD tools e.g., Jenkins Experience with tools like JIRA, Confluence, SharePoint, TestRails, Zephyr etc. Experience with performance, volume and stress testing Solid understanding of cloud services platforms e.g., AWS, GCP, Azure etc. Well versed with DBs and SQLs Hand-on experience with GenAI/LLMs/RAGs/Agents Soft Skills: Excellent communication skills. Ability to convey hard/sensitive messages without any apprehensions as well as avoid creating frictions. Ability to navigate thru organization independently.

We are the perfect match if you have: 1-3 years of experience in Product Management, preferably in a SaaS-based environment. Strong problem-solving skills and structured thinking ability. Demonstrated business acumen understands the why behind features, prioritizes for business impact, and can break down user problems to drive user-centric solutions. Experience shipping SaaS platforms that delivered measurable business outcomes and improved user efficiency. Experience performing customer research to deeply understand user needs and translate insights into actionable opportunities. Excellent analytical and visualization skills ability to distill complex business requirements into clear and actionable product features. Working knowledge of LLMs and modern RAG (Retrieval-Augmented Generation) techniques. Basic prompting skills using leading models like Claude, GPT, or similar. Practical experience in writing detailed PRDs, defining user stories, and setting clear acceptance criteria for technical team. Strong written and verbal communication skills ability to collaborate seamlessly with engineering, design, marketing, and leadership teams. Self-motivated and proactive, with a strong sense of ownership and accountability in a fast-paced environment. Experience working with Jira or similar product management tools for sprint planning and backlog management. It s an added plus if you also have: Hands-on ownership or contribution to AI-based features/modules, such as document intelligence, knowledge management systems, AI-driven workflow automation, smart search and retrieval systems, or risk and compliance automation using AI. Exposure to privacy, security, or compliance-focused products. Comfort working with design tools like Figma and create quick prototypes using any modern AI tools

Expertise in Python, R, SQL, and common ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.). Strong understanding of MLOps, data engineering, and cloud platforms (AWS, GCP, Azure).

Develop &maintain web applications using Ruby on Rails Write clean, scalable& maintainable code Manage &collaborate using Git &other version control system Leverage LLMs/AI tools to enhance productivity &streamline process Troubleshoot &resolve issue Required Candidate profile Experience in programming languages such as Python, JavaScript/ Elixir Exposure to frontend frameworks/libraries for full-stack development Work along cross-functional team to deliver quality solution

Notice Period : Candidates with up to 1-month notice preferred Findability Sciences is looking for a hands-on AI expert with experience in developing and implementing comprehensive predictive and generative AI solutions. This is a core technical role rather than a support-based one. You will lead innovation and delivery across multiple industries. What we are looking for: 3+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering Experience in predictive modeling, time series forecasting, and generative AI use cases Experience with ML Ops workflows model deployment, monitoring, versioning, and pipeline automation Key Responsibilities: Design and deploy predictive & GenAI solutions for real-world business use cases Build and optimize LLM-based workflows for summarization, retrieval, and Q&A Collaborate with cross-functional teams to define use cases and develop proof-of-concepts Translate business problems into ML/GenAI solutions and deliver outcomes Validate, compare, and optimize models for performance and scalability Apply basic ML Ops practices to ensure smooth deployment and monitoring of models Contribute to reusable pipelines, prompt tuning strategies, and production integration Present actionable insights and models to stakeholders clearly and effectively

AI Software Engineer (Temp-to-Permanent) Remote – Work from Home - India Position Type: Temporary-to-Permanent Location: India (Remote) Domain: Products and Services (AI-driven solutions) Target Candidates: Indian nationals Role Overview We are seeking motivated AI Software Engineers for a temp-to-permanent positions (multiple) to join our dynamic team focused on developing innovative AI powered products and services. This role offers the opportunity to work on cutting-edge AI solutions, with the potential for transition to a permanent role based on performance and business requirements. Key Responsibilities Design, develop, and implement AI models and algorithms to solve real-world business challenges. Analyze and interpret large datasets to extract actionable insights and inform product development. Train, test, and optimize AI models for performance, scalability, and reliability. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver end-to-end AI solutions. Contribute to the deployment and integration of AI models within products and services. Stay updated with the latest advancements in AI/ML technologies and best practices. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Machine Learning, Artificial Intelligence, or a related field. Undergraduates pursuing such a degree can apply – and work part-time (min. 4 hrs/day) alongside studies, leading to full-time employment post completion of degree upon satisfactory performance at work, and meeting or exceeding expectations of the Employer. 0-4 years of experience in software development, with atleast 6 months to 1 year with focus on AI/ML projects (freshers with exceptional portfolios may also be considered). Proficiency in programming languages such as Python, and/or Java. Experience with Llama 3, 4 , Google AI, ChatGPT, Claude desired. Experience with AI no-code tools, code generators, and automated testing software desired. Experience with machine learning frameworks (e.g., llama, TensorFlow, PyTorch, scikit-learn). Strong understanding of data structures, algorithms, and software engineering principles. Familiarity with data analysis and visualization tools. Excellent problem-solving and communication skills (should be able to understand deliverables clearly and communicate work areas, for e.g – explain code formats, and logic used, code alternatives etc. Should have the ability to document work done. We require only candidates who can work independently as well, and are proactive and have a positive attitude towards their work. Preferred Skills Experience in deploying AI models to production environments. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps practices. Exposure to deep learning, NLP, computer vision, or reinforcement learning. Prior experience working with agile teams, remote teams, on product-oriented projects. Client communication experience a plus. Compensation Competitive salary: The temporary period would be 2-3 months before full-time employment. Payouts would be INR 12,500 to INR 20,000 monthly for the temp employment period, and could be INR 40,000 (and upwards) monthly post the temporary employment period – dependent on experience, performance and project scopes for full-time employment. Potential for performance-based conversion to a permanent role. Career Path This temp-to-permanent opportunity allows candidates to gain hands-on experience in AI product development, demonstrate their skills, and transition into a long-term role aligned with their career aspirations How to Apply Send an email to AIforBussiness2@gmail.com and shishir@AIforBussiness.com Submit your resume highlighting experience with AI base development (tools, frameworks, applications) with github and/or other links to relevant projects or portfolios. Shortlisted candidates will undergo an initial technical assessment and interview to evaluate their fitment for the role. Note: This job description is for India based candidates interested in AI roles within product and service development only, offering a pathway from temporary to permanent employment based on performance and organizational needs. If you are interested in other tech or marketing/business development roles you may connect on linkedin at https://www.linkedin.com/in/shishir-sharan/ Role & responsibilities Preferred candidate profile

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

Lead Software Engineer: We are seeking a highly motivated and experienced Lead Software Engineer to join our dynamic team. As a key member of our team, you will contribute to the development of innovative cutting-edge solutions, collaborating with cross-functional teams, and driving the delivery of new products and features that meet our customer needs. About the Role: Work closely with business partners and stakeholders to identify requirements and prioritize new enhancements and features Collaborate with software engineers, architects, technical management, and business partners across geographical and organizational boundaries Assist in architecture direction and finalize design with Architects Break down deliverables into meaningful stories for the development team Provide technical leadership, mentoring, and coaching to software or systems engineering teams Share knowledge and best practices on using new and emerging technologies Provide technical support to operations or other development teams by troubleshooting, debugging, and solving critical issues Interpret code and solve problems based on existing standards Create and maintain technical documentation related to assigned components About You: To be successful in this role, you should have: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or equivalent experience 7+ years of professional software development experience Strong technical skills, including: Python programming (3+ years) AWS experience with EKS/Kubernetes Experience with LLMs, AI Solutions, and evaluation Understanding of agentic systems and workflows Experience with Retrieval Systems leveraging tools like OpenSearch Experience with event-driven/asynchronous programming Experience with high-concurrency systems Experience with CI/CD using GitHub Actions and AWS services (Code Pipeline/Code Build) Strong understanding of Microservices and RESTful APIs FastAPI Celery Data Engineering background Experience with AWS services (Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, Secret Manager, etc.) Performance optimization and security practices Self-driven with ability to work with minimal direction Strong context-switching abilities Problem-solving mindset Clear communication Strong documentation habits Attention to detail

Job Summary Director, Collection Platforms and AI As a director, you will be essential to drive customer satisfaction by delivering tangible business results to the customers. You will be working for the Enterprise Data Organization and will be an advocate and problem solver for the customers in your portfolio as part of the Collection Platforms and AI team. You will be using communication and problem-solving skills to support the customer on their automation journey with emerging automation tools to build and deliver end to end automation solutions for them. Team Collection Platforms and AI Enterprise Data Organizations objective is to drive growth across S&P divisions, enhance speed and productivity in our operations, and prepare our data estate for the future, benefiting our customers. Therefore, automation represents a massive opportunity to improve quality and efficiency, to expand into new markets and products, and to create customer and shareholder value. Agentic automation is the next frontier in intelligent process evolution, combining AI agents, orchestration layers, and cloud-native infrastructure to enable autonomous decision-making and task execution. To leverage the advancements in automation tools, its imperative to not only invest in the technologies but also democratize them, build literacy, and empower the work force. The Collection Platforms and AI team's mission is to drive this automation strategy across S&P Global and help create a truly digital workplace. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our customers need to do decision with conviction, delivering it faster and at scale while maintaining the highest quality standards. What were looking for ? You will lead the design, development, and scaling of AI-driven agentic pipelines to transform workflows across S&P Global. This role requires a strategic leader who can architect end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools while managing senior stakeholders and driving adoption at scale. A visionary technical leader with knowledge of designing agentic pipelines and deploying AI applications in production environments. Understanding of cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g., Airflow, Kubeflow), and agentic frameworks (e.g., LangChain, AutoGen). Proven ability to translate business workflows into automation solutions, with emphasis on financial/data services use cases. An independent proactive person who is innovative, adaptable, creative, and detailed-oriented with high energy and a positive attitude. Exceptional skills in listening to clients, articulating ideas, and complex information in a clear and concise manner. Proven record of creating and maintaining strong relationships with senior members of client organizations, addressing their needs, and maintaining a high level of client satisfaction. Ability to understand what the right solution is for all type of problems, understanding and identifying the ultimate value of each project. Operationalize this technology across S&P Global, delivering scalable solutions that enhance efficiency, reduce latency, and unlock new capabilities for internal and external clients. Exceptional communication skills with experience presenting to C-level executives Responsibilities Engage with the multiple client areas (external and internal) and truly understand their problem and then deliver and support solutions that fit their needs. Understand the existing S&P Global product to leverage existing products as necessary to deliver a seamless end to end solution to the client. Evangelize agentic capabilities through workshops, demos, and executive briefings. Educate and spread awareness within the external client-base about automation capabilities to increase usage and idea generation. Increase automation adoption by focusing on distinct users and distinct processes. Deliver exceptional communication to multiple layers of management for the client. Provide automation training, coaching, and assistance specific to a users role. Demonstrate strong working knowledge of automation features to meet evolving client needs. Extensive knowledge and literacy of the suite of products and services offered through ongoing enhancements, and new offerings and how they fulfill customer needs. Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms. Develop governance models for ethical AI agent deployment and compliance. Preferred Qualification 12+ years work experience with 5+ years in the Automation/AI space Knowledge of: Cloud platforms (AWS SageMaker, Azure ML; etc) Orchestration tools (Prefect, Airflow; etc) Agentic toolkits (LangChain, LlamaIndex, AutoGen) Experience in productionizing AI applications. Strong programming skills in python and common AI frameworks Experience with multi-modal LLMs and integrating vision and text for autonomous agents. Excellent written and oral communication in English Excellent presentation skills with a high degree of comfort speaking with senior executives, IT Management, and developers. Hands-on ability to build quick prototype/visuals to assist with high level product concepts and capabilities. Experience in deployment and management of applications utilizing cloud-based infrastructure. A desire to work in a fast-paced and challenging work environment Ability to work in a cross functional, multi geographic teams

Job Title: SaaS AI Architect Location: Chennai Experience: 5 to 8+ Years Industry: IT Services / Software Product Department: Engineering / Product Development Employment Type: Full Time, Permanent About Anubavam Anubavam is a global software innovation company with over 15 years of experience delivering scalable digital solutions to clients in more than 25 countries. Our mission is to transform education and enterprise experiences through cutting-edge technology. Our flagship product, Creatrix Campus , is an AI-powered SaaS platform that enables end-to-end student lifecycle management for higher education institutions. About Creatrix Campus Creatrix Campus is a next-generation SaaS platform built specifically for higher education institutions. With a growing customer base across the USA, UAE, Malaysia, and other regions, Creatrix simplifies academic operations through AI, automation, and low-code configurability. The platform is designed to be modular, scalable, and performance-oriented. We are rapidly expanding and fostering an architecture-driven engineering culture. Role Overview We are seeking an experienced SaaS AI Architect to lead the architectural modernization of our core platform, transition monolithic components into microservices, and design AI-ready backend systems. The ideal candidate will have strong hands-on experience in Python development, a product-oriented mindset, and the ability to collaborate across functional teams to deliver enterprise-grade software. Key Responsibilities Lead the transition from legacy PHP monoliths to scalable Python-based microservices. Design and implement API-first, modular, and cloud-native backend components. Build backend engines to support schema-driven UI, dynamic workflows, and metadata-based configurations. Drive configurability and extensibility for low-code/no-code development needs. Integrate AI/ML APIs including OCR, NLP, recommendation engines, and LLMs such as OpenAI. Ensure AI services are modular, efficient, and scalable for production use. Implement and manage CI/CD pipelines, Docker containers, and Git-based workflows. Optimize backend performance, system reliability, and scalability across environments. Work closely with Product Managers, QA teams, UI/UX designers, and global delivery teams to ensure timely and high-quality releases. Contribute to technical documentation and mentoring of engineering teams. Must-Have Skills and Experience 5 to 8 years of backend engineering experience, with a strong focus on Python (FastAPI or Django). Expertise in microservices architecture, RESTful APIs, Docker, and Git. Experience in modernizing legacy PHP systems to Python. Practical exposure to AI/ML APIs (OCR, NLP, LLMs) and their integration into backend systems. Experience in building metadata-driven or configurable engines (e.g., dynamic forms, workflow builders). Strong understanding of API security, authentication, rate limiting, and secure data handling. Preferred Qualifications Prior experience working with Higher Education systems such as SIS, LMS, or accreditation tools. Familiarity with low-code/no-code platforms (e.g., n8n, Camunda). Experience working in fast-paced SaaS environments with Agile methodologies. Knowledge of PostgreSQL, Redis, GraphQL, and event-driven architectures. Why Join Anubavam Technologies! We believe in creating a workplace that is engaging, rewarding, and growth-focused. Heres what you can expect: Competitive compensation based on experience and market standards Flexible work hours and hybrid work options Health insurance coverage for employees and dependents Annual performance bonuses and recognition programs Learning and development allowance to support certifications and upskilling Clear career paths and growth into senior platform or SRE roles Positive, inclusive team culture focused on collaboration, innovation, and shared success Opportunities to work on global SaaS products used by top universities worldwide A chance to make a real impact by supporting the digital transformation of education How to Apply Interested candidates may send their resumes to Pothis.karan@anubavam.com

We are seeking a skilled Senior Full Stack Developer to drive the development of complex applications using React, FastAPI, and AI/ML technologies. The ideal candidate should have hands-on experience with AI models, including LLMs, chatbots, and autonomous agents, as well as proficiency in managing PostgreSQL, MongoDB databases. You will collaborate with our global team to develop and scale product solutions in a fast-paced, innovative environment. Key Responsibilities: Design, develop, and maintain scalable, high-performance web applications using React (front-end) and FastAPI (back-end). Integrate and implement AI/ML technologies, including LLMs, chatbots, and autonomous agents to enhance product capabilities. Manage and optimize PostgreSQL and MongoDB databases, ensuring optimal performance and high availability. Leverage AWS services for cloud infrastructure management and scalability. Collaborate with cross-functional teams, including product managers, data scientists, and designers, to build innovative solutions. Maintain CI/CD pipelines and automate deployments using GitHub and other relevant tools. Actively contribute to the technical direction and improvement of the platform and development processes. Skills & Qualifications: 8-10 years of experience in full-stack development. Strong expertise in React and FastAPI for building and maintaining scalable applications. Hands-on experience with AI/ML technologies such as LLMs, chatbots, and autonomous agents. Proficiency in PostgreSQL and MongoDB, with excellent SQL skills. Experience with AWS cloud services for building scalable infrastructure. Experience in CI/CD practices and maintaining GitHub repositories. Strong communication skills in English (both written and verbal). Ability to work in a fast-paced, agile development environment with global teams. Strong problem-solving and analytical skills. Notice Period Immediate joiners only (1 week or less)

Immediate opening for "AI Architect (Generative AI)" Location : Remote Experience :- 15 to 23 yrs Quantaleap INC. is seeking a highly experienced AI Architect with deep expertise in Generative AI to drive innovative solution design and architecture for enterprise use cases. This role requires a strategic thinker with a strong foundation in AI/ML technologies and a proven ability to lead high-impact AI initiatives across diverse domains. Key Responsibilities: Architect end-to-end AI solutions leveraging Generative AI technologies (LLMs, diffusion models, transformers, etc.). Evaluate and recommend cutting-edge tools, frameworks, and models suitable for enterprise-grade deployments. Collaborate with cross-functional teams for RFP responses, technical proposals, and client presentations. Lead the development of scalable AI solutions from POC to production across multiple industry verticals. Guide technical teams on best practices in AI model development, fine-tuning, and deployment. Must-Have Skills: 15+ years of overall experience with a strong focus on AI/ML architecture In-depth knowledge of Generative AI technologies, including LLMs (GPT, BERT), GANs, and foundation models Experience in deploying AI models in cloud-native and on-prem environments Strong understanding of MLOps, data pipelines, and model lifecycle management Proven track record in presales, RFP responses, and enterprise solutioning Excellent stakeholder management and client-facing communication skills Interested can share their updated resume to anitha.mudaliyar@quantaleap.com

Role & responsibilities Please Note - This is not a walk in interview only shortlisted candidates will be called. Your key responsibilities Proven ability to design, build, and deploy end-to-end AI/ML systems in production. Expertise in data science , including statistical analysis, experimentation, and data storytelling. Experienced in working with large-scale, real-world datasets for model training and analysis. Comfortable navigating urgency, ambiguity, and fast-changing priorities . Skilled at solving complex ML problems independently , from idea to implementation. Strong leadership experience building and guiding high-performing AI teams . Hands-on with deep learning, NLP, LLMs , and classical ML techniques. Fluent in model experimentation, tuning, optimisation , and evaluation at scale. Solid software engineering background and comfort working with data and full-stack teams . Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines. Bias for action willing to jump into code, data, or ops to ship impactful AI products . Your skills and experience PhD in Computer Science, Data Science, Machine Learning, AI, or a related field. Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus. Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with large-scale datasets , distributed data processing (e.g. Spark, Beam, Airflow). Solid foundation in data science : statistical modeling, A/B testing, time series, and experimentation. Proficient in NLP, deep learning , and working with transformer-based LLMs . Experience with MLOps practices — CI/CD, model serving, monitoring, and lifecycle management. Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks. Strong grasp of API design , system integration, and delivering AI features in full-stack products. Comfortable working with SQL/NoSQL , and data warehouses like BigQuery or Snowflake. Familiar with ethical AI, model explainability , and secure, privacy-aware AI development

Job purpose: Design, evaluate, and refine prompts to guide LLMs in producing accurate, relevant, and high-quality outputs for real-world applications such as voice bots, chatbots, and automation flows. Who You Are: Minimum of 2-4 years of experience working with or around Large Language Models or similar Generative AI technologies. Hands-on experience working with LLMs using OpenAI, Hugging Face, or similar platforms. Basic understanding of Python and ability to write prompt-related scripts. Familiarity with prompt evaluation frameworks and performance metrics. Key Responsibilities: Design and engineer effective prompts for use with LLMs (e.g., GPT, Claude, Mistral). Analyze model behavior and refine prompts for accuracy, relevance, and efficiency. Collaborate with product, engineering, and ML teams to integrate prompt logic into production systems. Conduct testing and evaluation of prompts across multiple tasks and domains. Research and experiment with techniques such as few-shot, zero-shot, and chain-of-thought prompting. What will excite us: Experience using LangChain or other LLM orchestration tools. Understanding of embeddings, vector databases, and semantic search. Prior experience building chatbot or GenAI applications. Awareness of model behavior limitations, hallucination risks, and mitigation strategies. What will excite you: In-office opportunity in Ahmedabad with a collaborative and AI-focused team. Work on innovative Gen AI projects with real-world impact. Exposure to production-level LLM deployment and prompt optimization at scale. Location: Ahmedabad

Role & responsibilities You will be embedded within a team of machine learning engineers and data scientists; responsible for building and productizing generative AI and deep learning solutions. You will: Design, develop, and evaluate generative AI models for vision and data science tasks. Collaborate with cross-functional teams to integrate AI-driven solutions into business operations. Build and enhance frameworks for automation, data processing, and model deployment. Develop and deploy AI agents, including Retrieval-Augmented Generation (RAG) systems. Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions. Conduct research and stay updated with the latest advancements in generative AI and related technologies. REQUIREMENTS: B. Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math. At least 8 years of working experience in data science, computer vision, or related domain. Proven experience with building and deploying generative AI solutions. Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP. Experience with Gen-AI tools and workflows. Proficiency in both vision-related AI and data analysis using generative AI. Experience with cloud platforms and deploying models at scale. Experience with transformer architectures and large language models (LLMs). • Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face. • Proven leadership and team management skills. DESIRED SKILLS: • Working experience with AWS is a plus. • Knowledge of best practices in software development, including version control, testing, and continuous integration. • Working knowledge of common industry frameworks and tools around building LLMs, such as OpenAI, GPT, BERT, etc. • Experience with MLOps tools and practices for continuous deployment and monitoring of AI models.

Data Scientist Experience: 4 - 10 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Python Pandas, Scikit Learn, TensorFlow, Pytorch, Neural Networks, Transformers, LLMs Good to have skills : Docker, Kubernetes TatvaCare (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Description: Position: Data Scientist Business Division: AI Labs Reporting To: Chief Technology Officer Location: Bangalore Company Website: www.tatvacare.in TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. TatvaCare is a full-spectrum technology solution that solves across various aspects of both patients and doctors needs and their interactions to significantly improve health positives. Guided by a fundamental principle of connecting the patient care continuum to ultimately provide positive outcomes. As a digital system TatvaCare empowers both healthcare professionals and individuals with chronic conditions to create healthy habits leading to positive health outcomes. Role Overview Responsible for designing and implementing machine learning models to solve critical business challenges, including tasks such as classification, regression, clustering and recommendation systems. Develop and manage end-to-end data science pipelines, handling data preprocessing, feature engineering, model development, evaluation, and deployment. Collaborate with cross-functional teams to integrate machine learning models into production systems and ensure alignment with business objectives. Monitor and improve model performance continuously, staying up to date with the latest advancements in AI/ML to optimize solutions. Work with a variety of data types, including structured datasets and unstructured data (text, images, voice, sensor data), to develop robust machine learning models. Ensure that all models are scalable, accurate, and provide actionable insights, delivering measurable business value. Requirements: 4+ years of hands-on experience in data science and machine learning, with a solid track record of delivering successful projects. Strong analytical and problem-solving skills, with the ability to manage large, complex datasets. Proficient in Python, with hands-on experience in libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch. Experience in Convolutional Neural Networks, Transformers, Transfer Learning from LLMs to SLMs (Smaller Language Migration). Experience with NLP techniques and deep learning models, including CNNs, RNNs, Transformers, and LLMs, especially in tasks like classification and sentiment analysis. Proven experience in deploying machine learning models in production environments. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies like Docker and Kubernetes is a plus. Excellent communication skills and the ability to work effectively in collaborative team environments. Bachelors or masters degree in computer science, or a related field. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: TatvaCare is transforming care practices to deliver positive health outcomes. TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. Our product portfolio includes TatvaPractice, an advanced EMR and Knowledge platform for healthcare professionals, and MyTatva, a Digital Therapeutics application designed to manage chronic diseases like Fatty Liver, COPD, and Asthma. Through these initial solutions and more to come, we aim to bridge the gap in healthcare, connecting professionals and patients. We are committed to revolutionizing healthcare in India, promoting efficient, patient-centric care, and optimizing outcomes across the healthcare spectrum.] About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Data Scienctist (MRF00718) - J48913 ROLE: Data Scientist Data Scientist who would be involved in analyzing large data set, identifying patterns, design prompt to extract relevant entities using Generative AI technologies. Location: Anywhere in India Work from Home following below conditions are MANDATORY: If Offered, candidate must visit office Company`s Bangalore Development Center to collect laptop on his/her own. Visit Bangalore Company`s Development Center for work from office for 5 days in every 6 months but company will not reimburse for stay and travel expenses. Education: BE/B.Tech/MCA/M.Sc/MCM/M.Tech/Phd Requirement details: Self-Motivated, Dynamic & result oriented Professional Specialization in Data Science Experience in AI projects, including familiarity with AI and machine learning frameworks (PyTorch, LLMs, NLP, Computer Vision, GenAI). Strong understanding of deep learning concepts and their applications in NLP and Computer vision. Proficiency in Supervised Algorithms. Expertise in Model evaluation and metrics. Working knowledge of generative AI and hands on experience of LLM frameworks. Excellent Programming (Python) skills Excellent Data pre-processing and data cleaning skills. Working knowledge on Fine-tuning and transfer learning Expertise in Cloud computing platforms (AWS, Azure). Expertise in Data visualization. Good to have patents or research papers in ML/AI. Having good Statistics and AI experience will be a plus. Quick learner who exhibits resiliency and tenacity in the face of challenge. Ability to interact with diverse group within and outside of the organization. Agile management tools knowledge - DevOps/JIRA/TFS etc. Required Candidate profile Candidate Experience Should Be : 4 To 8 Candidate Degree Should Be : BE-Comp/IT,BE-Other,BTech-Comp/IT,BTech-Other,MCA,MCM,MCom,MCS,ME-Comp/IT,ME-Other,MIS,MIT,MMS,MSc-Comp/IT,MS-Comp/IT,MSc-Other,MS-Other,MTech-Comp/IT