571 Llm Jobs - Page 22

Senior Product Engineer Experience: 3 - 8 Years Salary: INR 60,00,000-1,00,00,000 / year Preferred Notice Period : Within 30 Days Shift : 10:00 AM to 7:00 PM Opportunity Type: Onsite - Bengaluru Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Partners) What do you need for this opportunity? Must have skills required : AWS, Python, Django, Next.js, react Good to have skills : Docker, Azure Our Hiring Partner is Looking for: Senior Product Engineer 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 Qualifications Startup Experience: We strongly prefer candidates with prior startup experience. Former founders are especially valued, as their entrepreneurial mindset and problem-solving skills align well with our fast-paced environment. Prior Experience: A minimum of 3 years of experience is required, with a maximum of 8 years. Educational Background: Ideally, candidates should have attended a college ranked in the top 40 in India. Backend Skills: Strong background in Python (Django experience is a plus). Frontend Skills: Proficiency in Next.js and React Cloud Platforms: Proficient with AWS or Azure. Scalability: Familiarity with Docker is a big plus. Core Responsibilities Build Product: Quickly ramp up and contribute to our Chat and Voice products, eventually owning your own product or product lines. Technical Leadership: Drive technical decisions and architecture design, shaping the backbone of our solutions. Cross-functional Collaboration: Work closely with co-founders and other team members to translate business vision into actionable project plans. Ownership: Take full product ownership, from ideation to launch, including integration into existing systems. What Youll Gain Impact: Be a key contributor to cutting-edge ML projects reshaping industries. Growth: Thrive in a dynamic, innovative environment alongside top-tier talent. Innovation: Work with advanced tools and continuously push boundaries. Autonomy: Drive your own initiatives and influence the company's technical direction. Required Skills Django Python React Amazon Web Services (AWS) Next.js Interview Process - 1st Technical Round - with the Founder 2nd Technical Round - 1 hour coding round 3rd Technical Round - 4 hrs coding round with CTO How to apply for this opportunity Register or log in on our portal Click 'Apply,' upload your resume, and fill in the required details. Post this, click Apply Now' to submit your application. Get matched and crack a quick interview with our hiring partner. Land your global dream job and get your exciting career started! About Our Hiring Partner: At GigaML, were transforming how enterprises manage customer support by deploying AI agents that resolve over 1M customer tickets monthly for a single client through voice and chat. Were trusted by industry leaders like Postman and Zepto (YCs fastest-growing company), and were scaling fast to meet growing demand. About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement. ( Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). 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!

Summary of the Role: We are seeking an AI Prompt Engineer with expertise in Large Language Models (LLMs) and prompt engineering to support legal tech solutions, specifically in contract lifecycle management and contract-related AI implementations. The ideal candidate will have a strong background in AI, NLP, and structured prompt engineering, with a keen understanding of legal tech applications. Prior experience in the legal domain is a plus but not mandatory. What you will do: Design, develop, and refine AI prompts for legal tech applications, ensuring accuracy and contextual relevance in contract-related workflows. Work with Large Language Models (LLMs) to enhance AI-driven solutions for contract analysis, review, and automation. Optimize prompt structures and techniques to improve AI-generated outputs in contract drafting, compliance, and negotiations. Research, test, and implement best practices in prompt engineering to maximize efficiency and accuracy in contract delivery. Evaluate and refine AI-generated legal documents to align with compliance standards and client requirements. Stay updated with advancements in LLMs, prompt engineering methodologies, and AI-driven legal tech solutions. What you bring: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. Minimum 5 years of overall professional experience, with at least 2 years in AI prompt engineering. Strong understanding of LLMs (GPT, Claude, Gemini, Llama, etc.) and their application in legal or enterprise use cases. Proven expertise in prompt design, optimization, and fine-tuning for AI-driven text generation. Hands-on experience with AI tools, frameworks, and APIs (OpenAI, Hugging Face, LangChain, etc.). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills to work with cross-functional teams. Bonus Points: Basic understanding of contracts, legal terminology, and compliance standards. Applications must be submitted exclusively through Execo's official job postings located on the following platforms: Execo Careers Website: https://www.execo.com/careers LinkedIn: https://www.linkedin.com/company/execogroup/jobs/ Indeed: US & Kenya: https://www.indeed.com/cmp/Execo-Group-Inc India: https://in.indeed.com/cmp/Execo-Group-Inc UK: https://uk.indeed.com/cmp/Execo-Group-Inc Philippines: https://ph.indeed.com/cmp/Execo-Group-Inc Singapore: https://sg.indeed.com/cmp/Execo-Group-Inc Naukri: https://www.naukri.com/

Job Title: Lead Data Scientist Location: Navi Mumbai, Maharashtra, India Job Description: We are seeking a highly skilled Lead Data Scientist with expertise in Generative AI (GenAI), Large Language Models (LLM), Machine Learning (ML), and Natural Language Processing (NLP). The ideal candidate will have a minimum of 4 years of experience in data science and a proven track record of leading projects from conception to deployment. Key member of advance analytics to create & assist in development of insights products for our corporate clients and In-house Product. Key Responsibilities Team Management Lead the design, development, and implementation of advanced ML models and algorithms. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Mentor and guide junior data scientists in best practices and methodologies. Stay updated with the latest advancements in GenAI, LLM, and NLP technologies. Create ML models and advance algorithms to identify and flag risky transactions & card members Work on new innovative Generative AI based solutions to enhance user experience of our digital products and increase productivity of the team Gain expertise on data understanding and tables to maximize their usage in insight products Deploy models in enterprise tools and monitor their performance over time Work with product, UX and tech team to deliver product in an agile framework Conceptualize, develop and prototype new insights products/ product/feature enhancements for travel optimization Qualifications: 4+ years of experience in data science or a related field. Proficiency in programming languages such as Python, R Programming, Machine Learning, Deep Learning, Generative AI, LLM, Prompt Engineering Azure, AWS SQL, MongoDB Strong understanding of machine learning frameworks Experience with NLP techniques and tools. Excellent problem-solving skills and ability to work in a fast-paced environment. If you are passionate about leveraging data to drive business insights and have the required skills, we encourage you to apply on lateral.recruitment@gebbs.com

Lead Data Scientist - GenAI Location: Hyderabad (Onsite/Hybrid) Experience: 8+ years Only Immediate to 30 Days Notice Period will be preferable. About the Role: We are looking for a Project Lead - GenAI with strong expertise in AI, Machine Learning, and Generative AI to lead the development of innovative AI-driven solutions. In this role, you will drive the design, development, and deployment of LLMs, NLP models, and AI agents , ensuring they scale effectively within modern application architectures. If you are an experienced Python engineer with hands-on experience in AI/ML and MLOps , this is a great opportunity to lead impactful projects in a fast-paced environment. Key Responsibilities: Lead and oversee the development of Generative AI solutions from concept to deployment. Design and build scalable AI applications leveraging LLMs, NLP, and AI agents . Architect and optimize data pipelines for AI model training, tuning, and deployment. Implement MLOps best practices for streamlined model deployment and monitoring. Develop and integrate AI models within microservices and event-driven architectures . Stay ahead of the latest advancements in GenAI, AI frameworks, and model fine-tuning techniques . Collaborate with cross-functional teams, including data engineers, ML scientists, and software developers . Drive best coding practices, performance optimization, and AI ethics considerations in AI model development. Must-Have Skills: 8+ years of experience in AI/ML, with a focus on GenAI and NLP. Strong Python engineering skills with experience in building scalable applications. Expertise in Transformers, LLMs, NLP, Machine Learning, and AI agents. Hands-on experience in data pipelines, model training & deployment, and MLOps. Experience working with modern application architectures (Microservices, Event-Driven Systems). Preferred Skills: Knowledge of FastAPI for high-performance API development. Experience with Snowflake for data storage and processing. Hands-on experience with PyTorch or TensorFlow for deep learning model development. Familiarity with LangChain & OpenAI APIs for integrating LLMs into applications. Strong communication & interpersonal skills to lead and collaborate effectively.

Python + SQL Developer | Azure Cloud | 5+ Years | Pune | Immediate Joiners Job Description: We are hiring an experienced Python + SQL Developer with Azure Cloud expertise for our Pune location. The ideal candidate should have 5+ years of experience in backend development, database management, and cloud-based solutions. Immediate joiners are preferred. Apply Now! If you meet the requirements and are ready to take on exciting challenges, send your updated CV! prachi.ghei@nerdmine.in pratiksha.singh@nerdmine.in Key Responsibilities: Develop, optimize, and maintain Python-based applications. Write and execute complex SQL queries for data extraction, transformation, and storage. Work with Azure Cloud services (Azure SQL, Functions, Storage, etc.). Develop and maintain APIs and data pipelines. Ensure database performance, integrity, and security . Collaborate with cross-functional teams for scalable solutions. Troubleshoot and resolve software and database-related issues. Location: Pune Experience: 5+ Years Employment Type: Full-time Notice Period: Immediate Joiners Preferred Why Join Us? Work on cutting-edge technologies. Collaborative and growth-oriented work environment. Competitive salary and benefits.

Job Summary: As the Lead AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities: Lead the design and development of machine learning models and AI solutions to solve business problems. Select appropriate machine learning or deep learning models based on problem context and data availability. Develop, train, test, and validate models using state-of-the-art methodologies and frameworks. Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets. Engineer features and performs exploratory data analysis to ensure data quality and model readiness. Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow). Implement models into production environments, ensuring robustness, scalability, and maintainability. Develop and maintain CI/CD pipelines for seamless model integration and deployment. Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics. Work closely with cross-functional teams (e.g., product, engineering, Ux, Ax) to align model development with business objectives. Stay updated with emerging trends in AI/ML research and tools, integrating best practices into the development process. Document model architecture, development processes, and performance evaluations thoroughly. Share insights and technical know-how with team members to foster a culture of continuous learning and improvement. Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices. Develop and implement best practices for model development, testing, and deployment. Analyze large datasets to extract insights and improve model performance. Communicate complex technical concepts to non-technical stakeholders effectively. Ensure compliance with data privacy and security regulations in all AI/ML initiatives. Qualifications: Bachelors or masters degree in computer science, Machine Learning, or a related field. Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and interpersonal skills, with the ability to lead and inspire a team. Experience with version control systems (e.g., Git) and agile development methodologies is a plus.

Data and AI LeadAt ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions.Write the next chapter of your ABB story. This position reports to SeniorProjectManager Your role and responsibilities In this role, you will have the opportunity to contribute significantly to successful project results in technology, software, product, and/or solution development, as well as associated Intellectual Property (IP). Each day, you will act as the first point of contact in Research and Development for specific product-related issues and maintenance. You will also showcase your expertise by identifying, proposing, and implementing innovative solutions.The work model for the role is: #LI-HybridThis role is contributing to Process Automation business for BA Function Operation Centers and Quality division based in Bangalore, IndiaYou will be mainly accountable for: Lead the solution design and provide oversight for development, testing, operational readi-ness, and implementation of solutions. Responsible for design to release, solution roll-out, and designing front-end, back-end, and AI components, considering cybersecurity aspects and cloud technologies. Define the solution, guide data scientists, ML engineers, and prompt engineers, and enable the successful rollout of the solution, demonstrating a research/experimental mindset. Oversee the development and implementation of machine learning algorithms and models to analyze large datasets, extract insights, and drive decision-making. Lead technology demonstrator initiatives on leading cloud platforms and evolve the project plan.You will join a highly talented team. Qualifications for the role Strong solution and design expertise in the areas of data analytics, AI, GenAI, and rapid appli-cation development. At least 8+ years of experience in software solution development, with at least 5+ years of ex-posure in deep tech as a data lead and data specialist. Must have played the role of a specialist and led at least two successful global prod-uct/solution rollouts. Worked with Agile teams, with hands-on experience in recent tools and technologies (e.g., AI engines - LLM, SLM, DevOps, Copilots). Exposure to working with global stakeholders while demonstrating technology leadership. Masters degree in computer science.

Summary: As a Senior Innovation Engineer, you will be a key member of the innovation lab at Ashley Furniture, responsible for driving the integration of AI across all aspects of the business. You will be a strategic engineer, responsible for creating and implementing new technologies that will revolutionize the customer experience, augment the workforce, and unlock new opportunities for Ashley Furniture. You will be responsible for the technical design, development, testing, and implementation of complex problems and seeding opportunities to proof of value of new products and features. The selected candidate will be required to have an X-shape profile and possess a deep understanding of first principles. Primary Job Functions: Lead the development and implementation of new technologies that will transform the customer experience, augment the workforce, and create new opportunities for Ashley Furniture. Collaborate with cross-functional teams to identify business problems that can be solved using AI technologies. Develop advanced algorithms and models to extract insights from data and create recommendations for business decisions. Implement machine learning models using Python, Typescript, C#, Java, and other relevant programming languages. Lead the team in developing prototypes and proof-of-concepts to demonstrate the feasibility of new technologies. Stay up to date with the latest developments in AI, machine learning, and related fields, and identify potential applications for Ashley Furniture. Mentor and guide junior engineers to help them develop their skills and deliver high-quality work. Demonstrate the Companys Core and Growth Values in the performance of all job functions. Education: Bachelor's or masters degree in Computer Science, Mathematics, or related field. Experience: At least 7 years of experience in developing technology solutions, integrating, or creating AI and machine learning models. Knowledge, Skills and Abilities: X-shape profile, with a deep understanding of first principles. Proficient in Python, Typescript, C#, Java, CSS and other relevant Experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, etc. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to lead a team and work independently. Strong project management skills. programming languages. Strong attention to detail Excellent verbal and written communication skills Excellent interpersonal skills Effective time management and organizational skills Work independently as well as in a team environment Document management system Analytical and problem solving skills Maintain confidentiality If you feel you have the necessary skill sets and are passionate about the job, please send your profile to vthulasiram@ashleyfurnitureindia.com with below requested details (mandatory) Total Experience: Data Science Experience: Do you have all the required technology experience mentioned in JD: Current CTC: Expected CTC: Notice Period: Are you ok for 5 days work from office mode: Would you like to from Chennai or Bangalore:

Maersk is hiring Software Engineers who can work across the stack, with especially strong web front-end skills, to join the Visibility Platform team. This platform is powered by tons of data, and this role provides an opportunity for working with this dataset and innovating to find effective ways to present the right subset of the data to users in the right context. About the role In this role, you will work on a greenfield project that aims to provide increased quality of visibility into the movements of containerised shipments and associated attributes like delays, extra charges incurred, emissions, etc. Here are some of the things the role involves: Work closely with the UX and product team to iterate and provide feedback on mocks and designs and how well they solve user problems. Work backwards from the mocks and help design API structures that can power the views in an efficient and performant manner. While building the views, care deeply about semantic HTML, responsive design and rendering performance. Work with Maersk's design system conventions and ensure consistency in design language across multiple micro-applications. Ensure hygiene practices like test coverage, performance profiling etc. are put in place and gated with automated checks. Actively participate in code reviews and encourage using it as a tool for team members to learn from each other. Work in an inclusive manner with team members across geographies, time zones and cultures. About you Here are some things we expect from you for the role: Be highly proficient with semantic HTML, modern CSS and plain JavaScript. Be highly proficient with responsive design. Be familiar with at least one of React, Vue, Svelte, or Angular. Be open to working with Vue as that is what we mainly use. Be familiar with at least one build system like Webpack. Be familiar with a test framework like Jest, and be comfortable writing tests with any JavaScript code you write. Be familiar with Node.js and the npm ecosystem. Be aware of common reusable open-source libraries. Be also mindful of not causing bloated dependencies. B e open to deep dive into other parts of the tech stack and learn new skills on the go. Be a stickler for developer productivity, and always be on the lookout to get things done more efficiently. Be adept at using modern LLM-based tools (like GitHub Copilot) to increase quality and speed of work. Be effective at written and spoken communication. Also exhibit the same in writing code that can be well understood by other developers. Having knowledge about logistics and supply chain domain would be a bonus

Role & responsibilities As an AI Architect, youll lead the design, development, and deployment of cutting-edge AI solutions across multiple domains. This is a unique opportunity to make an impact by shaping complex AI systems from the ground up and working with the brightest minds in the field. Proven experience in AI and machine learning architecture Expertise in deep learning, NLP, computer vision, and other AI technologies Strong coding skills in Python or any programming language, TensorFlow, PyTorch, or similar frameworks Experience in cloud platforms (AWS, Azure, GCP) Leadership experience in cross-functional teams A passion for innovation and solving complex challenges Why join us? Work on groundbreaking AI projects that push the boundaries of technology Be part of a dynamic and collaborative environment Ready to take your career to the next level? Apply today or reach out for more details. Lets build the future of AI together

Dear Candidates, Greetings of the day!! My name is Karthikeyini, and I'm reaching out to you regarding an exciting opportunity with TechMango. You can connect with me on LinkedIn https://www.linkedin.com/in/karthikeyini-t-0943b0290/ Or Email: Karthikeyini.t@techmango.net Find below the JD for the opening of Python Developer - TechMango Role : Python Developer Experience : 3 - 8 Years Job Location : Madurai and Chennai Mode: Work From Office Mandatory skills : Python, Django,Flask, SQL,MongoDB, GenAI, NLP, ML Libraries and AWS services or other cloud platforms(Azure,GCP) Job Description : Strong proficiency in Python and web frameworks(Django,Flask,FastAPI). Hands on experience with SQL,MongoDB,PL/SQL Proficiency in GenAI(AI powered chatbot,LLM based application,AI Models),NLP & ML algorithms. Experience in ML libraries such as Tensorflow,PYTorch or Scikit learn. (Optional) PowerBI reporting tool Hands on experience in AWS services or other cloud platforms(Azure,GCP) Strong knowledge of performance tuning and problem solving skills Mandate Skills: Python, Django, SQL, GenAI, NLP,ML Algorithm and AWS or Any cloud Platforms (Azure or GCP) Interested Candidates Please share the below mandate details with your resume to karthikeyini.t@techmango.net

Job Description: If you are a smart, self-motivated Machine Learning Scientist with a passion for advancing the field of Generative AI, we have an excellent opportunity for you. We are seeking candidates with deep expertise in developing and fine-tuning LLMs, RAG, agentic solutions, and knowledge graph technologies to drive innovative solutions in GenAI. You will be at the forefront of pioneering advancements in AI, working alongside some of the brightest minds in an exciting R&D environment to build cutting-edge capabilities that redefine the future of artificial intelligence. Job Responsibilities: Lead research and development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Design and implement advanced workflows for integrating LLMs into real-world applications across various domains such as Finance, Insurance, and Healthcare. Develop and fine-tune domain-specific LLMs to optimize performance, using techniques like prompt engineering, adapter-based tuning, or low-rank adaptation. Architect and implement scalable knowledge graph solutions to enhance reasoning capabilities in AI systems. Drive the development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Collaborate with cross-functional teams to prototype, test, and deploy solutions in production environments, both on-premise and in the cloud. Mentor and guide junior researchers and engineers to foster innovation and ensure high-quality deliverables. Stay at the forefront of AI advancements by reading, adapting, and implementing cutting-edge research to solve real-world challenges. Document research findings, methodologies, and implementations for internal and external stakeholders. Qualifications: Experience: 9-13 years in AI/ML research and development, with at least 2-3 years focusing on GenAI, LLMs, or related fields. Education: Masters or PhD in Computer Science, AI, or a related field from a top-tier institution is highly preferred. Required Skills: Core Expertise: Proven experience with Large Language Models (e.g., GPT-4, BERT, LLaMA, PaLM) and fine-tuning them for domain-specific applications. In-depth knowledge of Retrieval-Augmented Generation workflows, including retrieval system design and document store integration. Strong background in knowledge graph development, graph neural networks, and integrating graph-based reasoning in AI pipelines. Hands-on experience developing and deploying autonomous agents for complex problem-solving tasks. Tools & Frameworks: Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Experience with distributed training and optimization on GPUs and TPUs. Familiarity with cloud ecosystems (AWS, Azure, Google Cloud) and MLOps practices for scalable deployment. Research & Development: Ability to read and adapt cutting-edge research papers for applied solutions in LLMs and knowledge graphs. Expertise in domain adaptation, few-shot learning, and zero-shot reasoning. Strong understanding of generative models, including VAEs, GANs, or diffusion models, and their integration with LLMs. Problem Solving: Demonstrated ability to address challenges in unstructured data processing, including NLP and multimodal scenarios. Experience with document retrieval, clustering, and unsupervised learning techniques. Preferred Skills: Experience with reinforcement learning and fine-tuning via RLHF (Reinforcement Learning with Human Feedback). Knowledge of large-scale optimization methods for model training and inference. Familiarity with knowledge distillation and efficient model compression techniques. Strong collaboration and communication skills, with a proven ability to lead teams.

TalentRubric hiring for client, seeks Legal Analyst. Analyze legal data, automate documents, and provide insights for a $2.5T debt platform. Responsibilities-legal document analysis, automation, reporting & client engagement.Legal background required

About the Role : A NASDAQ-listed international enterprise with a focus on both services and products for the Internet is looking for an API Developer. Job Responsibilities : - Evaluate, train, and enhance foundational LLM models for ServiceNow scripting languages, focusing on improving co-pilot features for accurate and context-aware automation support. - Conduct regular evaluations and feedback loops to refine LLM-based integrations, ensuring alignment with business objectives. - Fine-tune models using techniques such as Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) to optimize ServiceNow's scripting capabilities, including JavaScript, GlideScript, and advanced querying techniques like GlideQuery and Dot-walking. - Develop and implement automated processes using ServiceNow's scripting languages (JavaScript, GlideScript, etc.), leveraging advanced techniques for data manipulation and workflow automation. - Optimize existing scripts and workflows to enhance performance, reliability, and scalability within the ServiceNow platform. - This is not a ServiceNow admin job, but a LLM trainer job in the context of ServiceNow development with a focus on ServiceNow scripting Job Requirements : Tech Skills : - Minimum of 3-5 years of hands-on experience with ServiceNow, specifically in developing and implementing custom integrations and applications using ServiceNow APIs. - Strong experience on at least one module other than ITSM like HRSD/ITOM/CSM/ITAM/FSM etc. - Any module specific CIS certification will be preferred. - Experience in creating and modifying ServiceNow based technical requirementsStrong proficiency in JavaScript and GlideScript, with expertise in advanced querying techniques like GlideQuery and Dot-walking. - ServiceNow certifications, such as ServiceNow Certified Application Developer (CAD), are highly desirable. Soft Skills : - Strong problem-solving skills with meticulous attention to detail. - Excellent communication and collaboration abilities, capable of working effectively in a fast-paced, agile development environment. - Strong analytical and critical thinking skills to evaluate and improve scripting solutions based on performance metrics and business needs. Search Guidance Mandatory Skills : 3+JavaScript, 3+Glide Script, 3+ ServiceNow APIs Total Years Of exp : 3-5 years ServiceNow, specifically with ServiceNow APIs Opportunity : Full Time, 8 hours (4 Hours overlap with PST) Notice Period : Immediate Engagement length - 6-12 Months Needed In Resume : 1. Contact Number & Email Id 2. Experience Mentioned 3. Full Name

Fresher or 3+ years of experience in AI/ML development with a focus on Generative AI and LLMs. Design, develop, and implement AI/ML models, including Generative AI and LLM-based solutions.

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) • Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. • Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) • Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning • Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models • Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. • Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) • Experience applying various machine learning techniques and understanding the key parameters that affect their performance • Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs • Excellent verbal and written communication • Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: • Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: • Connect with internal / external POC to understand the business requirements • Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis • Create project plan and sprints for milestones / deliverables • Spin VM, create and optimize clusters for Data Science workflows • Create data pipelines to ingest data effectively • Assure the quality of data with proactive checks and resolve the gaps • Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms • Research whether similar solutions have been already developed before building ML models • Create optimized data models to query relevant data efficiently • Run relevant ML / DL algorithms for business goal seek • Optimize and validate these ML / DL models to scale • Create light applications, simulators, and scenario builders to help business consume the end outputs • Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively • Integrate and operationalize the models in client ecosystem • Document project artifacts and log failures and exceptions. • Measure, a

Preference - Pharma/healthcare domain or industry only Job Title: - Director - Data Science Job Location: - Noida/Gurgaon/Pune/Hyderabad Job Responsibilities: - Location : Gurugram / Noida / Bengaluru / Hyderabad Job Responsibilities : Axtria is a global provider of cloud software and data analytics to the life sciences industry. We help life sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are seeking high energy, driven and innovative Data Scientists to join our Data Science Practice to develop new, specialized capabilities for Axtria, and to accelerate the companies growth supporting our clients commercial & clinical strategies. Craft winning proposals to grow the Data Science Practice. Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience design the end to end solution, put together the right team and deliver as per established processes. Build an A team – hire the required skills sets and nurture them in a supporting environment to develop strong delivery teams for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, collaborate with academia and participate in relevant forums to continuously upgrade self knowledge & establish Axtria’s thought leadership in this space. Research, develop, evaluate, and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space. Qualifications & Experience : Post graduation or PhD in Computer Science is a must. 10+ years of experience in the data science space – preferably with the end to end automated ecosystem including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, ML operations. Ability to translate business questions into analytics techniques (regression classification, NLP, etc.) and interpret outcomes of analytical models into meaningful business insights and actionable recommendations. Expertise in data management, data modeling, data quality, dev ops, data migration & data structure integration. Expertise in advanced AI/ML algorithms & their applications, NLP, deep learning frameworks, computer vision. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, Tensorflow Relevant Mastery in Feature Engineering, Feature Selection and Model Validation on Big Data Experience in delivering data science projects leveraging cloud infrastructure. Familiarity with cloud technology such as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, Glue; viz tools like Tableau and Power BI. Build & train neural network architectures such as CNN, RNN, LSTMs, Transformers. Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designing API's and exposure to DevOps, React/Angular, containers, building visualization layer. Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Familiarity with Life Sciences is a plus

Role & responsibilities Require AI prompt / Python engineer with Open AI experience, LLM, RAG, Langchain. Experience in ML/DL. Overall Experience 8+ years Preferred candidate profile Perks and benefits

Welcome to the relentless pursuit of better. Inviting applications for the role of Data Scientist The position is based out of India and the focus of the role is to have enterprise level experience in Predictive and NLP Model build, validation, implementation, monitoring, etc. and do analysis on data, be able to understand, translate and integrate the analysis. We are seeking a highly skilled and experienced Generative AI Specialist for developing and implementing cutting-edge generative models to solve complex problems using LLM technology. Need to collaborate with cross-functional teams, conduct research, and deliver innovative solutions in the field of generative artificial intelligence. Responsibilities Participating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions. Conduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models. Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection. Strong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment. Analyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements. Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents. Lead efforts to train and fine-tune language models, ensuring they meet high standards of performance, efficiency, and safety. Work on strategies to scale language models, optimizing for efficiency and reducing resource consumption. Deploy model in cloud- Azure, AWS, GCP. Qualifications we seek in you. Minimum qualifications Education in Statistics, Mathematics, Computer Science, or another quantitative field. Preferred qualifications Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience in deploying LLM models in production. Experience in using industry standard AI/ML libraries i.e., Sklearn, Keras, Tensorflow, AutoML etc. Solid understanding of generative AI concepts, frameworks, and techniques, with hands-on experience in developing and deploying generative models. Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models like Llama 2, Falcon LLM. Strong programming skills in languages such as Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch). Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus. Prior experience in handling LLM use cases or working with large-scale language models is highly desirable. Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Job Description Role & Responsibilities: Develop and deploy Generative AI solutions using LLMs and related technologies. Fine-tune large language models (LLM fine-tuning) to improve performance. Work on Retrieval-Augmented Generation (RAG) methodologies to optimize AI outputs. Implement Prompt Engineering techniques for effective model interaction. Utilize Python, TensorFlow, and PyTorch for AI model development and optimization. Work with cloud platforms like Azure, AWS, or GCP to deploy and scale AI models. Collaborate with cross-functional teams to integrate AI solutions into business applications. Maintain AI/ML pipelines and workflows using LLMOps best practices. Preferred Candidate Profile: 5 to 8 years of experience in AI, ML, or Data Science roles. 2 to 3 years of experience specifically in GenAI solution development, LLM fine-tuning, RAG, or LLMOps. Strong background in Natural Language Processing (NLP) and Transformer models. Hands-on experience with cloud-based AI solutions (Azure, AWS, GCP). Excellent problem-solving skills and ability to work in a fast-paced environment. Perks and Benefits: Competitive salary and performance-based incentives. Work with cutting-edge AI technologies and industry leaders. Opportunities for career growth and learning. Health insurance and other standard benefits.

We are seeking an enthusiastic Python Developer with expertise in Azure, Data Science, Natural Language Processing (NLP), and experience working with Streamlit, Gradio, and Flask. As a Python Developer at our company, you will be involved in building cutting-edge applications, leveraging large language models, and deploying solutions using Azure cloud technologies. If you are passionate about pushing the boundaries of AI-driven applications and have hands-on experience with Streamlit, Gradio, Flask, and Hugging Face's large language models, we would love to have you join our team. Responsibilities: 1. Collaborate with cross-functional teams to understand business requirements and design software solutions. 2. Develop and deploy Python-based applications using Streamlit, Gradio, and Flask frameworks for interactive data visualization and AI-powered interfaces. 3. Utilize Azure cloud services for seamless deployment, scaling, and management of applications. 4. Apply data science and NLP techniques to implement advanced analytics and machine learning algorithms. 5. Integrate and fine-tune large language models from Hugging Face, tailoring them to specific use cases. 6. Explore and experiment with state-of-the-art NLP models to improve application performance. 7. Work with large datasets and implement data preprocessing, cleaning, and transformation pipelines. 8. Optimize application performance, responsiveness, and scalability for large user bases. 9. Collaborate with data scientists to implement and integrate NLP-driven solutions into existing applications. 10. Ensure the security and privacy of data throughout the development process. 11. Conduct code reviews and adhere to best practices for code quality and maintainability. 12. Stay updated on the latest advancements in NLP, data science, and cloud technologies.

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g. , Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

Company Description When youre one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modelling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon India is now Great Place to Work-Certified™. Epsilon has also been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. For more information, visit epsilon.com/apac or our LinkedIn page. Job Description: About BU The Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative thinkers develop and build products that help Epsilon be a market differentiator. They map the future and set new standards for our products, empowered with industry best practices, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilon’s success story. Why are we looking for you? Primary role of the SSE is to envision and build internet scale services on Cloud using Python and GenerativeAI. We are seeking an experienced and innovative Senior Software Engineer to lead the design, development, and deployment of scalable Python applications integrated with advanced Generative AI capabilities. In this role, you will work on AWS Bedrock models, Retrieval-Augmented Generation (RAG), multi-agent systems, and real-time feedback loops. Additionally, you'll develop dynamic, interactive front-end solutions using Angular UI frameworks. You’ll collaborate with teams across various functions to create next-gen AI-powered software products that address complex challenges. What will you enjoy in this role? Will focus on designing, developing, and supporting all our online data solutions. This person will work closely with business Managers to design and build innovative solutions. What You'll Do: AI Integration & Development: Develop and optimize applications integrating Generative AI models, including AWS Bedrock models, Retrieval-Augmented Generation (RAG), and multi-agent systems, to enhance user experience and business processes. Backend Development: Design, implement, and maintain scalable and high-performance Python applications that utilize machine learning and AI models to solve real-world problems. AI Feedback Loops: Design and integrate real-time feedback systems to continuously improve the performance and accuracy of AI models, ensuring user-centric enhancements. Multi-Agent Systems: Develop and optimize multi-agent architectures where different AI agents collaborate and interact to achieve complex goals. Ensure efficient communication and decision-making across agents. Frontend Development: Collaborate with UI/UX teams to develop intuitive, scalable, and responsive web applications using Angular, enhancing user interaction with AI systems. Cloud Infrastructure: Leverage AWS services (specifically AWS Bedrock) and other cloud technologies to deploy, scale, and manage AI models in production, ensuring reliability and performance. System Design & Architecture: Lead the design of robust and scalable system architectures, ensuring seamless integration of front-end and back-end components with AI models and cloud infrastructure. Collaboration & Mentorship: Work closely with product managers, data scientists, and other engineers to understand business requirements, translate them into technical solutions, and mentor junior engineers. Continuous Learning & Innovation: Stay up-to-date with the latest trends in Generative AI, AWS Bedrock, multi-agent systems, and front-end technologies to continuously improve your skillset and bring innovative solutions to the team. Qualifications A bachelor’s degree in B.E/ B.Tech/ M.Tech in computer science or a related field or have equivalent experience. Experience : 5+ years of experience in Python software development with a strong focus on backend systems, cloud-native applications, or AI-powered solutions. Generative AI Expertise : Proven experience working with Generative AI technologies, including language models (e.g.,GPT-3/4), image generation models (e.g., GANs), or similar AI applications. Frameworks & Libraries : Proficiency in Python frameworks like Flask, Django, FastAPI, or others. Familiarity with machine learning libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. AI/ML Deployment : Hands-on experience with deploying AI/ML models at scale in production environments using cloud platforms like AWS, GCP, or Azure. Cloud Technologies : Experience with cloud services (AWS, Google Cloud, Azure) for building scalable and resilient solutions. Software Design & Architecture : Strong understanding of software design patterns, microservices architecture, RESTful API development, and scalability principles. Problem Solving : Strong analytical and problem-solving skills, with the ability to break down complex tasks and deliver solutions in a timely manner. Collaboration & Communication : Excellent communication skills and the ability to work effectively in cross-functional teams, with a focus on mentoring and leadership. Nice-to-Have: Advanced AI Knowledge : Familiarity with cutting-edge Generative AI models (e.g., large-scale pre-trained models, deep reinforcement learning). DevOps & CI/CD : Experience with DevOps practices, containerization (Docker), and CI/CD pipelines for AI/ML workflows. Data Engineering Skills : Familiarity with data pipelines, ETL processes, and database technologies (SQL, NoSQL).

Candidates with 8 years of experience in Develop, train, optimize, and deploy ML/Deep Learning/Generative AI models. Expertise in NLP, Transformers, Large Language Models (LLMs), deep learning framework (PyTorch, TensorFlow, Keras). Required Candidate profile Strong understanding of ML operations (MLOps), including CI/CD for ML workflows. Experience with deploying ML models in production and working with cloud-based AI solutions (AWS, GCP, Azure)

We are seeking experienced AI Engineer to design, develop & implement intelligent agents to enhance our video intelligence capabilities. Hands-on experience with both closed & open-source LLMs and production-grade agent implementation Required Candidate profile Experience working with LLMs (both closed models like GPT-4, Claude, & open-source models like Llama, Mistral) Production-grade agent implementation using frameworks such as LangChain, CrewAI, n8n