1043 Llm Jobs - Page 8

As an Amdocs Software Architect, you will have full autonomy to deliver agreed technical objectives and make decisions that require extensive analysis and interpretation. Your role will involve providing technical expertise in software usage, as well as functional and non-functional aspects. You will collaborate with software engineers and other architects to define and refine product structures to align with business needs. Furthermore, you will work closely with customers and product line management to identify and translate customer needs into technical requirements. You will support and lead architectural decisions within a product line or across multiple product lines. Additionally, you will lead projects, review technical designs, and provide guidance to software engineers on technical and architectural decisions. Your responsibilities will include researching, evaluating, and prototyping new methodologies, technologies, and products. You will propose and implement improvements in processes and tools. It is essential to acquire an in-depth understanding of the customer context when making technical decisions. Key Responsibilities: - Extensive experience working with Various LLMs such as Lama, Gpt, and others - Hands-on experience with GenAI use cases - Expertise in developing Cloud Jobs for data ingestion for learning purposes - Establish partnerships with project stakeholders to offer technical assistance for important decisions - Development and implementation of Gen AI use-cases in live production based on business/user requirements Technical Skills: Mandatory Skills: 1. Experience in deep learning engineering, particularly on MLOps 2. Strong NLP/LLM experience and text processing using LLM 3. Proficiency in Python & Terraform programming 4. Building backend applications (data processing, etc.) using Python and deep learning frameworks 5. Deploying models and creating APIs (FAST API, FLASK API) 6. Experience working with GPUs 7. Working knowledge of Vector databases like Milvus, Azure Cognitive Search, Quadrant, etc. 8. Experience with transformers and working with Hugging Face models like llama, Mixtral AI, and embedding models Good to have: 1. Knowledge and experience in Kubernetes, Docker, etc. 2. Cloud experience working with VMs and Azure storage 3. Sound data engineering experience Behavioral Skills: - Effective communication with clients/operational managers and providing solutions - Strong problem-solving skills and ability to gather information - Building relationships with clients/operational managers and colleagues - Adaptability, ability to prioritize, work under pressure, and meet deadlines - Proactive thinking, anticipating problems, and providing solutions - Innovative approach and good presentation skills - Willingness to work extended hours when required In this role, you will be challenged by crafting high-level designs and setting technical standards. You will have the opportunity to work with advanced technologies and be responsible for a suite of products. Amdocs offers a range of benefits, including health, dental, parental leave, and pet insurance. Amdocs is an equal opportunity employer, welcoming applicants from all backgrounds and committed to fostering a diverse and inclusive workforce.,

The ideal candidate will be responsible for gathering business challenges and documentation, collating and interpreting data, analyzing results using statistical techniques and tools. You will work with the team to prioritize business and information needs and present solutions and insights regarding the data. It will be your role to analyze data for trends and interpret data and patterns with a clear objective in mind. You should have an interest in working in a startup culture/ecosystem with a willingness to learn and a never-die attitude. The ability to work independently as well as part of a team is essential. Knowledge in AI/ML algorithms, working with large datasets and big data tools is required. Proficiency in SQL, Python, Excel functions, data concepts, and an in-depth understanding of modeling techniques is a must. Familiarity with NLP, LLM, Generative AI, and data visualization is preferred. Strong logical and problem-solving skills are necessary for this role. This is a full-time position with a day shift schedule and an in-person work location.,

As a valued member of the Ojas Systems team, we are seeking individuals proficient in Machine Learning, NLP, Computer Vision, Gen AI, or LLM (Full-time PhD required) with a minimum of 5 years of experience post-PhD. The ideal candidate should possess a total of 12+ years of relevant professional experience in the field. If you meet the above criteria and are enthusiastic about joining our team, please forward your updated resume to meghana@ojassystems.com. We look forward to the opportunity to review your qualifications and potentially welcoming you on board at Ojas Systems. Thank you for considering this exciting career opportunity with us. Warm regards, Ojas Systems,

As a Senior Data Scientist specializing in Large Language Models (LLMs), Vision Language Models (VLMs), Prompt Engineering, and AI Agents, you will be instrumental in the development of a Proof of Concept (POC) project aimed at automating and enhancing test case creation for user stories. Leveraging cutting-edge AI techniques, such as extracting information from images and documents, automated test case generation, and code analysis for testability, you will play a vital role in advancing this innovative project. Your key responsibilities will include developing and deploying advanced AI/ML solutions utilizing LLMs, VLMs, and prompt engineering to automate the creation and refinement of test cases for user stories. You will also be tasked with extracting and interpreting content from various sources, including images and documents, through the use of Vision Language Models and other relevant tools. Additionally, your role will involve analyzing existing codebases to enhance testability using AI-driven approaches, researching and implementing AI Agent frameworks to optimize testing workflows, and continuously evaluating and improving models and prompts for accuracy, efficiency, and business alignment. To qualify for this position, you should have at least 5 years of experience as a Data Scientist or in a related AI/ML role, with proven expertise in LLMs such as OpenAI and Claude. Hands-on experience with VLMs and prompt engineering, as well as a demonstrated track record of developing and applying AI Agents to automate real-world processes, are essential requirements. You should possess a strong background in automating testing processes using AI/ML techniques, proficiency in Python and common ML frameworks, and experience in extracting structured data from unstructured content like text, images, and documents. Familiarity with code analysis, test case design, and the software development lifecycle, along with excellent problem-solving, communication, and collaboration skills, will be beneficial for excelling in this role.,

You should have a minimum of 3 years of experience in a similar role. You must be proficient in Java and Python programming languages. A strong understanding and working experience in Solidatus is required. Additionally, you should have a solid understanding of XML and JSON data formats. Knowledge of relational SQL and NoSQL databases such as Oracle, MSSQL, and Snowflake is essential. Preferred qualifications include exposure to NLP and LLM technologies and approaches, experience with machine learning and data mining techniques, familiarity with data security and privacy concerns, knowledge of data warehousing and business intelligence concepts, and an advanced degree in Computer Science, Engineering, or a related field. The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, or a related field.,

As a Data Product Analyst at Wells Fargo, you will be responsible for participating in low to moderate complexity data product initiatives. Your role will involve identifying opportunities for data roadmap improvements within your scope of responsibilities to drive data enablement and capabilities across platforms and utilities. You will review and analyze basic business, operational, or technical assignments that require research and evaluation to drive data enablement strategies. Additionally, you will present recommendations for resolving data product situations, collaborate with stakeholders to understand business requirements, and manage datasets focusing on consumer needs and data governance standards. Moreover, you will participate in the creation and maintenance of data product roadmaps, gather data requirements, and communicate data problems and initiatives effectively to all audiences. Required qualifications include 2+ years of data product or data management experience, or equivalent demonstrated expertise in maintaining and improving data quality across the organization. Your responsibilities will also involve participating in analysis to identify and remediate data quality issues, adhering to data governance standards, and designing data governance and data quality policies. Furthermore, you will support regulatory analysis and reporting requirements, work with business and technology partners to document metadata about systems, and assess the current state of data quality. Desired qualifications for this role include experience in large enterprise data initiatives, managing data entry processes, resolving data quality issues, banking business or technology experience, and familiarity with BI tools and cloud concepts. In addition, knowledge of T-SQL, database, data warehousing, ETL concepts, BI solutions, Agile principles, and various technical skills are preferred for this position. As a Data Product Analyst, you are expected to assist in implementing data processes, monitor data flows, ensure consistent data definition across systems, collaborate with data engineers, and resolve data quality issues. The posting end date for this job is 17 Jul 2025, with the possibility of early closure due to the volume of applicants. Wells Fargo values equal opportunity and encourages applications from all qualified candidates. The company maintains a drug-free workplace and requires candidates to represent their own experiences during the recruiting and hiring process. If you require a medical accommodation during the application or interview process, you can visit Disability Inclusion at Wells Fargo for assistance. Third-party recordings are prohibited unless authorized by Wells Fargo, and candidates should adhere to the company's recruitment and hiring requirements.,

As a Software Developer at Amdocs in Pune, India, you will be responsible for the design, development, modification, debugging, and maintenance of software systems. You will work on specific modules, applications, or technologies, dealing with sophisticated assignments during the software development process. Your key responsibilities will include owning specific modules within an application, providing technical support and guidance during solution design for new requirements, and resolving critical or complex issues. You will ensure that the code is maintainable, scalable, and supportable. Additionally, you will present software product demos to partners and customers, using your technical knowledge to influence product evolution. In this role, you will investigate issues by reviewing and debugging code, providing fixes, and workarounds. You will analyze and fix bugs, review changes for operability, and help mitigate risks from technical aspects. By bringing continuous improvements to software or business processes through innovative techniques and automation, you will reduce design complexity, response time, and enhance end-user experience. Your technical skills will be put to the test, with mandatory requirements including experience in deep learning engineering, strong NLP/LLM expertise, proficiency in Python and Terraform programming, building backend applications using Python and deep learning frameworks, deploying models, and building APIs. Knowledge of working with GPUs and vector databases like Milvus, Azure Cognitive Search, and experience with transformers and hugging face models is essential. You will work on developing and implementing Gen AI use-cases in live production, creating partnerships with project stakeholders, and providing technical assistance for important decisions. Good communication, problem-solving, relationship-building, adaptability, and prioritization skills will be crucial for success in this role. This position offers you the opportunity to specialize in software and technology, take an active role in technical mentoring within the team, and enjoy stellar benefits including health, dental, paid time off, and parental leave. Amdocs is an equal opportunity employer that values diversity and inclusivity in the workforce.,

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description 8+yrs Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.

As a Machine Learning and AI Specialist, you will be responsible for architecting and implementing cutting-edge solutions in the fields of Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs). Your role will involve integrating these models into application ecosystems, collaborating with data engineering teams to develop robust pipelines, and conducting AI/ML research to ensure that our solutions stay ahead of industry trends. In addition to your technical responsibilities, you will also play a key role in mentoring junior team members, collaborating with stakeholders across departments, and ensuring the scalability and efficiency of our ML models. Participation in code reviews, planning discussions, and overall contribution to the team's success will be crucial aspects of your day-to-day work. To excel in this role, you must possess a strong foundation in programming, particularly in Python, and have experience working with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, OpenAI, and Llama. Proficiency in data libraries like NumPy and Pandas, along with expertise in domains like Computer Vision, NLP, LLMs, and Data Science, will be essential for success. The ideal candidate for this position will hold a Bachelors or Masters degree in Computer Science, Data Science, or a related field, and have a minimum of 4 years of experience in Data Science and Machine Learning, with at least 2 years of experience in enterprise applications. Strong analytical and communication skills, along with the ability to manage multiple projects in a fast-paced environment, will be key to thriving in this role. This is a full-time position based in Noida, with a day shift schedule that requires in-person work at the designated location. If you are passionate about leveraging AI and ML technologies to drive innovation and solve complex challenges, we encourage you to apply and join our dynamic team.,

* If you are 5+ years experienced and Immediate joiner , please apply: https://forms.gle/TbiZ5o9oN2ZtJSpKA 5+ years of experience as a backend or full-stack developer, with strong focus on backend systems. Advanced proficiency in Python, including building scalable, production-grade applications. Hands-on experience integrating large language models (LLMs) using tools like LangChain, LangGraph, RAG pipelines, or similar frameworks. Proven track record of deploying LLM-based systems in real-world production environments (beyond just chatbots or academic projects). Good understanding of machine learning engineering concepts (preferred but not mandatory). Strong expertise in designing robust APIs and backend services, including async processing and microservices. Solid knowledge of deployment workflows, CI/CD, cloud infrastructure, observability, and performance optimization. *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply. Must possess strong communication skills , both written and verbal. Should have proven expertise in the specific field or role being applied for. Timings: 8 hrs/day, Mon-Fri Preferred candidate profile : Immediate Joiners Fully remote, 3 months contract in the starting

- Exp in Machine Learning / AI / NLP / LLM - Strong track record of applied research supported by publications, blog articles etc. - Hands on exp to build and deploy ML models in production on prem or using cloud services

Job Title : .Net Gen AI Location : PAN INDIA Qualification : Graduation/Post-Graduation Experience : 5+ Years Required skills - Experience in .Net Gen AI Experience in Gen AI Tools any one Experience in .Net COre Excellent communication skill. Interested candidates can send their resume and below details at priyanka.v@sigmacareers.in 1. Notice Period (LWD)- 2. Current CTC- 3. Expected CTC Per Month- 4. Current company- 5. Total year of experience- 6. Relevant experience- 7. Do have any offer how much offer you are having offer- 8. Current location- 9. Preferred location-

Mandatory Skills: Bachelor's degree in Computer Science, Information Technology, AI/ML or related field 2-5 years of experience in working with NLP / LLMs Experience with Fine Tuning and Retraining LLM's. Highly Contributes to the implementation, refinement and validation of machine learning algorithms for products and applications Experience about NLP, LLMs - Falcon, LLama, Langchain, Palm2, Text annotation and Information extraction Experience Vector Databases like Pinecone, Waviate, Chroma , Faiss. Experience in deep learning frameworks like PyTorch/ Tensorflow Strong experience with Python, good programming and problem solving skills Preferred Skills : Experience with Machine Learning, Model Versioning and Deployment. Good knowledge of Cloud Deployment Knowledge about Computer Vision

Greetings for the day. I hope you're doing well. My name is Manisha, and I represent UshtaTe Talent Acquisition team. UshtaTe is a highly awarded staffing firm headquartered in Mumbai, specializing in providing comprehensive contingent workforce solutions across the IT and non-IT sectors. We serve a prestigious client base, delivering top tier staffing services to leading global brands in industries such as media, technology, lifestyle, retail, and marketing, across multiple locations in India. We have an opportunity with one of our prestigious clients , for the role of Software Developer Engineer-AI/LLM on third-party payroll. Job Description:- Critically analyze and evaluate code responses generated by our LLMs across various programming languages and paradigms Exercise expert judgment to select the most appropriate and efficient code solutions from multiple LLM-generated options Develop and write coding demonstrations to illustrate "what good looks like" in AI-generated code, setting benchmarks for quality and efficiency Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output Collaborate with the AI research team to identify areas for improvement in the LLM's coding capabilities Stay abreast of the latest developments in software engineering, coding standards, and AI to ensure our evaluations remain cutting-edge Previous experience working with or evaluating AI systems, particularly in the context of code generation This role requires a unique blend of technical expertise, critical thinking, and communication skills. You will be the bridge between advanced AI technology and practical, real-world coding applications. Your work will directly influence the development of next-generation AI coding assistants, shaping the future of software development.

Sant Kripal Singh Institute of Law invites applications from dedicated and qualified candidates for the position of Assistant Professor in Law. We seek individuals with academic rigor, teaching experience, and a passion for legal education.

Data Scientist- ( Lead) - J49417 Proficiency with Python (Pandas, NumPy), SQL, and Java. Experience with LLMs, LangChain, and Generative AI technologies. Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). Microservices, CI CD, ML Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders. Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools. Knowledge in Machine Learning, NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. Work in a team/ Independently. Excellent Written & Verbal Communication Skills Solid critical thinking and questioning skills. High degree of flexibility - willing to fill in the gaps rather than relying on others Strong communication skills, especially in presenting data insights. Flexibility, problem-solving, and a proactive approach in a fast-paced environment Qualification -BA,BBA,BBA/BMS,BBI,BCA,BCom,BCS,BDES,BE-Comp/IT,BEd,BE-Other,BFA,BFM,BIS,BIT,BMS,BSc-Comp/IT,BSc-Other,BTech-Comp/IT,BTech-Other,CA,CS,DCA,DCS,DE-Comp/IT,DE-Other,Diploma,ICWA,LLB, MA,MBA,MBBS, MCA,MCM,MCom,MCS,ME-Comp/IT,ME-Other,MIS,MIT,MMS,MSc-Comp/IT,MS-Comp/IT

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices

Key Skills: Python, GenAI, RAG, LLM, Machine Learning, Natural Language Processing, Generative AI, Data Science, AI Model Training, Model Deployment, AI Research, Cloud AI Services. Roles & Responsibilities: Develop and deploy Generative AI solutions utilizing frameworks like RAG and LLM to address business challenges. Work with cross-functional teams to identify opportunities for leveraging GenAI and LLM technologies for enhancing products and services. Design, implement, and optimize Python-based solutions for training and deploying machine learning models. Collaborate with data scientists, product managers, and developers to integrate Generative AI capabilities into various applications and systems. Research and implement cutting-edge AI technologies to improve model performance and scalability. Lead the creation and management of AI models through their lifecycle, including data preprocessing, model training, testing, and deployment. Ensure model quality, efficiency, and robustness, and provide regular updates on AI initiatives to stakeholders. Experience Requirements: 6-9 years of experience in Generative AI, specifically in RAG (Retrieval-Augmented Generation) and LLM (Large Language Models). Proven track record with at least 2 projects in Generative AI or relevant AI-driven solutions. Proficiency in Python for model development, data processing, and AI tool integration. Familiarity with Machine Learning, Natural Language Processing, and Deep Learning concepts. Education: Any Post Graduation, Any Graduation.

Role & responsibilities Responsibilities: Design, develop, and deploy scalable AI/ML models to support business goals. Collaborate with data scientists, engineers, and product teams to integrate AI capabilities into applications. Analyze large datasets to extract insights and improve model performance. Optimize algorithms for efficiency and accuracy. Maintain and improve existing AI systems and workflows. Lead technical discussions, code reviews, and mentor junior team members. Stay updated with the latest AI research and technologies and propose innovative ideas. Ensure code quality, testing, and documentation standards. Preferred candidate profile Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field. 2+ years of experience in AI/ML development. Proficient in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms and model deployment. Strong understanding of algorithms, statistics, and data structures. Experience with NLP, computer vision, or other AI domains is a plus. Excellent problem-solving and communication skills.

Must have : - Strong on programming languages like Python, Java - One cloud hands-on experience (GCP preferred) - Experience working with Dockers - Environments managing (e.g venv, pip, poetry, etc.) - Experience with orchestrators like Vertex AI pipelines, Airflow, etc. - Understanding of full ML Cycle end-to-end - Data engineering, Feature Engineering techniques - Experience with ML modelling and evaluation metrics - Experience with Tensorflow, Pytorch or another framework - Experience with Models monitoring - Advance SQL knowledge - Aware of Streaming concepts like Windowing , Late arrival , Triggers etc. Good to have : - Hyperparameter tuning experience. - Proficient in either Apache Spark or Apache Beam or Apache Flink. - Should have hands-on experience on Distributed computing. - Should have working experience on Data Architecture design. - Should be aware of storage and compute options and when to choose what. - Should have good understanding on Cluster Optimisation/ Pipeline Optimisation strategies. - Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources). - Should have Business mindset to understand data and how it will be used for BI and Analytics purposes. - Should have working experience on CI/CD pipelines, Deployment methodologies, Infrastructure as a code (eg. Terraform). - Hands-on experience on Kubernetes. - Vector based Database like Qdrant. - LLM experience (embeddings generation, embeddings indexing, RAG, Agents, etc.). Key Responsibilities : - Design, develop, and implement AI models and algorithms using Python and Large Language Models (LLMs). - Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliver impactful AI-driven solutions. - Optimize and manage data pipelines, ensuring efficient data storage and retrieval with PostgreSQL. - Continuously research emerging AI trends and best practices to enhance model performance and capabilities. - Deploy, monitor, and maintain AI applications in production environments, adhering to best industry standards. - Document technical designs, workflows, and processes to facilitate clear knowledge transfer and project continuity. - Communicate technical concepts effectively to both technical and non-technical team members. Required Skills and Qualifications : - Proven expertise in Python programming for AI/ML applicati

Responsibilities: Exp Machine Learning ,NLP, Generative AI, LLm ,API ,django . Develop CRM solutions with Hubspot & FastAPI/Flask frameworks. Design, develop & maintain RAG applications on Cloud platforms. Deploy Model Context Protocol server

* If you are 5+ years experienced and Immediate joiner , please apply: https://forms.gle/rEEJ2iz7o3m717AA7 5+ years of overall work experience, with at least 3 years of relevant experience in Python and 2+ years in CUDA/C++. Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy. Solid understanding of CUDA programming concepts and C++ fundamentals. Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python. Familiarity with GPU computation, parallelism, and performance-aware coding practices. Strong debugging skills and attention to numerical consistency when porting logic across languages. Experience evaluating AI-generated code or participating in LLM tuning is a plus. Ability to communicate technical feedback clearly and constructively. Fluent in conversational and written English communication skills. *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply. Must possess strong communication skills , both written and verbal. Should have proven expertise in the specific field or role being applied for. Timings: 8 hrs/day, Mon-Fri Preferred candidate profile : Immediate Joiners Fully remote, 3 months contract in the starting

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

Min 3+ yrs in Data engineer(GenAI platform) ETL/ELT workflows using AWS,Azure Databricks,Airflow,Azure Data Factory Exp in Azure Databricks,Snowflake,Airflow,Python,SQL,Spark,Spark Streaming,AWS EKS, CI/CD(Jenkins) Elasticsearch,SOLR,OpenSearch,Vespa

Design AI models using LLMs/VLMs to automate test case creation, extract data from text/images, analyze code for testability, optimize prompts, implement AI agents, and enhance testing workflows with accurate, scalable automation. Required Candidate profile Seeking Data Scientist with 5+ yrs in AI/ML, hands-on with LLMs, VLMs, prompt engineering & AI agents. Skilled in Python, automation, data extraction, code analysis & problem-solving.