345 Prompt Engineering Jobs - Page 9

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

AccioJob is conducting a Walk-In Hiring Drive with Atomic Loops for the position of AI/ML Developer Intern. To apply, register and select your slot here: https://go.acciojob.com/Nutt7V Required Skills: Python, AI, Prompting, ML understanding Eligibility: ALL Degree : ALL Branch: ALL Graduation Year: 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026 Work Details: Work Location: Pune (Onsite) CTC: 4 LPA to 5 LPA Evaluation Process: Round 1: Offline Assessment at AccioJob Pune Centre Further Rounds (for shortlisted candidates only): Profile & Background Screening Round, Company Side Process Important Note: Bring your laptop & earphones for the test. Company Side Process 2 rounds will be for intern role and 3 rounds will be for full-time role (Virtual or Face To Face) Register here: https://go.acciojob.com/Nutt7V

Greetings from AIS!! AIS (Applied Information Sciences) is a highly regarded software and systems engineering firm providing professional application development services to commercial and government clients since 1982. One of Microsofts oldest and largest Managed Gold partners in the U.S., AIS is exclusively focused on building enterprise-class custom applications using Microsoft technologies. As we continue to experience extraordinary growth, we are seeking professionals to join our AIS Team in India. For more information, please visit: http://www.ais.com https://www.ais.com/blog/ Full-time opportunity Exp.: Min. 8.0 Years Mode of work: Hybrid Work Location: Hyderabad Required Skills Working knowledge on Azure Open AI API Chat completions, responses etc. Development SDK like Semantic Kernel & Langchain Excellent knowledge of Prompt Engineering Knowledge of implementing RAG (Retrieval Augmented Generation) patterns in application Knowledge of implementing Chat Bots Vector data bases Microsoft CoPilot and integrations with it. Knowledge of Microsoft Azure AI services deployment and monitoring New services like Microsoft AI Foundry Familiarity with Microsoft Azure If you are interested, please reply to me to this email. Thanks & Regards, Meghana Reddy M Sr. Talent Aquisition Business Partner Email: meghana.mandhala@ais.com

Role & Responsibilities: Design & implement AI workflows to automate CRM, trip quotations, lead follow-ups, and customer chat/voice queries Build smart agents using GPT (chat + voice) for internal & customer use (OpenAI, Twilio, CallHippo) Integrate travel APIs (flights, hotels, activities) with our platform for live quotation generation Automate repetitive tasks using Make.com, Zapier, and internal tools Work with the Product and Creative teams to bring AI to media creation (photo/video sorting, customer albums, etc.) Develop performance dashboards, auto-suggestion tools, and smart seller assistants Stay up to date with AI trends in TravelTech and test applicable models for use Preferred Candidate Profile: 2 to 5 years of real-world experience in applied AI, automation, or backend systems Strong Python skills (FastAPI, LangChain, Pandas, etc.) Hands-on with OpenAI/GPT APIs, Twilio, WhatsApp integrations Familiarity with automation tools like Make.com, Zapier Passionate about travel, tech, and creating impact Bonus: Experience in e-commerce, SaaS, or travel-tech products

building various Machine Learning, Deep Learning regression experience in Generative AI tech stack Prompt engineering, ChatGPT Ollama,Gemini, RAG frameworks TensorFlow, Pytorch Huggingface librariesLlamaIndex Langchain Python Visualization Python

Job Title: QA Engineer About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that drive measurable ROI for our clients. With a global presence spanning 30+ countries and a team of 18,000+ professionals, we integrate industry knowledge with scalable technology solutions and AI accelerators to deliver data-driven solutions to the world's leading organizations. Our headquarters are based in Singapore, with offices across the U.S., UK, Canada, India, the Philippines, Vietnam, and Nicaragua. Website: https://www.straive.com/ Linkedin Objective: We are looking for a proactive and detail-oriented QA Engineer to join our team for a data-intensive backend automation project. This role is centered around backend data quality checks, ensuring accuracy between document inputs and system-generated outputs using automation and AI technologies. Education & Experience: Bachelor's degree in Computer Science, Information Technology or a related field 3 to 4 Years Total IT Experience (Minimum 2 Years in Automation Testing) Knowledge, Skills and Abilities: Strong experience in Python, with a focus on data handling using Pandas. Familiarity with Selenium (basic UI automation) Hands-on with RegEx for text extraction and validation. Exposure to LLM (Large Language Models) like GPT, prompt engineering for data extraction tasks. Expert in QA Automation with a strong focus on integration testing and end-to-end validation. Proficient in API testing using Postman. Skilled in writing SQL queries for SQL Server (SSMS) and MySQL. Working knowledge of Maven, Jenkins and AWS in a CI/CD environment. Experienced in using JIRA for test case management and defect tracking. Strong functional testing skills including test planning, execution and regression testing. Proficient in using GitHub for version control and team collaboration. Excellent communication skills and ability to work with cross-functional teams across time zones(India & USA). Well-versed in STLC, BLC, and Agile/Scrum methodologies. Proactive in reporting status, raising issues and working in dynamic environments.

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Gurgaon location. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Role & responsibilities We are looking for Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Senior Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Generate high-quality game art assets using AI tools Create promotional visuals for marketing campaigns, including banners, social media graphics, and animations. Optimize prompts in tools like ChatGPT & Midjourney Knowledge of various AI tools

Role & Responsibilities: Help in the training of an AI assistant model to enhance its accuracy and performance Evaluate the model's responses across multiple dimensions to ensure quality and relevance Maintain high standards of speed and precision while assessing the model's responses Must Required Traits: Strong attention to detail Ability to carefully follow instructions Excellent proficiency in English

Role & Responsibilities: Help in the training of an AI assistant model to enhance its accuracy and performance Evaluate the model's responses across multiple dimensions to ensure quality and relevance Maintain high standards of speed and precision while assessing the model's responses Must Required Traits: Strong attention to detail Ability to carefully follow instructions Excellent proficiency in English

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

( Immediate Joiners ) Role Overview: We are looking for a ML/AI Gen AI Expert with 4-7 years of experience for executing AI/GenAI use cases as POCs . Media domain experience (OTT, DTH, Web) is a plus. Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Design, develop, and deploy models (ML and GenAI) using Google Clouds Vertex AI platform. Fine-tune and evaluate LLMs for domain-specific applications, ensuring responsible AI practices. Collaborate with data engineers and architects to ensure robust, scalable, and secure data pipelines feeding ML models. Document solutions, workflows, and experiments to support reproducibility, transparency, and handover readiness. Core Skills: Strong foundation in machine learning and deep learning, including supervised, unsupervised, and reinforcement learning. Hands-on experience with Vertex AI, including AutoML, Pipelines, Model Registry, and Generative AI Studio. Experience with LLMs and GenAI workflows, including prompt engineering, tuning, and evaluation. Python and ML frameworks proficiency (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Strong collaboration and communication skills to work cross-functionally with data, product, and business teams. Technical Skills: Vertex AI on Google Cloud Model training, deployment, endpoint management, and MLOps tooling. GenAI tools and APIs Hands-on with PaLM, Gemini, or other large language models via Vertex AI or open source. Python Proficient in scripting ML pipelines, data preprocessing, and model evaluation. ML/GenAI Libraries scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain. Cloud & DevOps Experience with GCP services (BigQuery, Cloud Functions, Cloud Storage), CI/CD for ML, and containerization (Docker/Kubernetes) Experience in the media domain (OTT, DTH, Web) and handling large-scale media datasets.

Were seeking a seasoned AI/ML Developer to join our tech team and help build next-generation GenAI products and scalable AI-powered APIs. You’ll architect and deploy intelligent workflows on Google Cloud Platform, integrate cutting-edge LLMs, and design real-time intent-detection systems across multiple user journeys. Key Responsibilities Model Development & Deployment: Build, train and deploy AI/ML models using GCP’s ADK and Vertex AI. Implement prompt-engineering strategies for large language models (e.g., Gemini). Vector Search & Retrieval: Design and maintain vector search pipelines on GCP. Integrate with LangChain and other tools for context-aware retrieval. API & Backend Engineering: Develop secure, scalable RESTful APIs using FastAPI and Python. Automate deployments via GitHub CI/CD workflows. Intent-Detection Systems: Architect multi-flow intent-detection pipelines with high accuracy. Continuously monitor and optimize model performance. Cloud Infrastructure & Security: Enforce best practices for secure, scalable GCP services. Collaborate with DevOps to ensure reliable, automated infrastructure. Collaboration & Documentation: Work closely with cross-functional teams (DevOps, Product, QA). Maintain clear technical documentation and share knowledge. Required Skills & Qualifications: AI/ML Expertise: 4+ years hands-on with AI/ML solutions in production. Proficiency with GCP services: Vertex AI, ADK, Firestore. Vector Search & LLM Integration: Experience building vector search pipelines on GCP. Strong familiarity with Gemini, LangChain, or similar LLM frameworks. Backend Development: Advanced Python skills; production experience with FastAPI. Solid understanding of REST principles, authentication, and security. DevOps & Automation: GitHub Actions (or equivalent) for CI/CD. Infrastructure as Code (Terraform, Deployment Manager, etc.). Intent Detection & NLP: Track record of building intent-classification or NLU systems. Familiarity with metrics and A/B testing for conversational AI. Soft Skills: Excellent problem-solving and analytical abilities. Strong communication skills and a collaborative mindset.

Hiring a Senior GenAI Engineer with 712 years of experience in Python, Machine Learning, and Large Language Models (LLMs) for a 6-month engagement based in Gurugram. This hands-on role involves building intelligent systems using Langchain and RAG, developing agent workflows, and defining technical roadmaps. The ideal candidate will be proficient in LLM architecture, prompt engineering, vector databases, and cloud platforms (AWS, Azure, GCP). The position demands strong collaboration skills, a system design mindset, and a focus on production-grade AI/ML solutions.

Job Description: Generative AI Expertise In depth knowledge of various Generative AI techniques including GANs Generative Adversarial Networks VAEs Variational Autoencoders and other relevant architectures Experience with both image and text generation is essential Conversant with Gen AI development tools like Prompt engineering Langchain Semantic Kernels Function calling Exposure to both API based and opens source LLMs based solution design Responsible AI Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling transparency and accountability in all stages of AI development Must demonstrate a commitment to upholding privacy standards mitigating bias and fostering trust within data driven initiatives Machine Learning Mastery Profound understanding of machine learning principles algorithms and frameworks Able to design and implement models optimize performance and manage training pipelines effectively Technical Proficiency Proficiency in programming languages commonly used in AI development such as Python TensorFlow PyTorch or similar tools Experience with cloud platforms e g AWS Azure GCP and distributed computing is advantageous Architecture Design Ability to design end to end Generative AI architectures that encompass data preprocessing model selection training pipelines and deployment strategies Strong grasp of scalable reliable and efficient system design Key Responsibilities: A day in the life of an Infoscion As part of the Infosys consulting team your primary role would be to lead the engagement effort of providing high quality and value adding consulting solutions to customers at different stages from problem definition to diagnosis to solution design development and deployment You will review the proposals prepared by consultants provide guidance and analyze the solutions defined for the client business problems to identify any potential risks and issues You will identify change Management requirements and propose a structured approach to client for managing the change using multiple communication mechanisms You will also coach and create a vision for the team provide subject matter training for your focus areas motivate and inspire team members through effective and timely feedback and recognition for high performance You would be a key contributor in unit level and organizational initiatives with an objective of providing high quality value adding consulting solutions to customers adhering to the guidelines and processes of the organization If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Primary skills Technology Artificial Intelligence Computer Vision Technology Big Data Natural language processing NLP Technology Machine Learning Python Technology Machine Learning TensorFlow Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen strategy and cross industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Preferred Skills: Technology->Artificial Intelligence->Computer Vision,Technology->Big Data->Natural language processing(NLP),Technology->Machine Learning->Python,Technology->Machine Learning->TensorFlow

Role & responsibilities Design and build AI-powered features that help customers configure integrations, transform data, and resolve errors using natural language and intelligent automation. Lead the implementation of Retrieval-Augmented Generation (RAG) pipelines that combine LLMs with real-time data from customer environments. Integrate Azure OpenAI services and develop optimized prompt strategies for scalable use across our iPaaS platform. Implement and manage vector databases such as Milvus , FAISS , Pinecone , or Azure Cognitive Search to support contextual retrieval and semantic search. Build intelligent AI agents using frameworks like LangChain or Semantic Kernel that can perform step-by-step automation across integration workflows. Collaborate with product and UX teams to embed AI in user-centric ways that simplify complexity and improve customer outcomes. Ensure scalable and reliable deployments through best practices in Docker , Kubernetes , and CI/CD pipelines . Preferred candidate profile 5-8 years of experience in AI/ML engineering, including production systems. Strong experience with LLMs , prompt engineering , and designing AI features. Proven track record building and deploying RAG pipelines and using vector search effectively. Experience with vector databases like Milvus , FAISS , Pinecone , or Azure Cognitive Search . Hands-on experience with Azure OpenAI , including GPT models and embedding APIs. Experience developing AI Agents with LangChain or Semantic Kernel. Solid Python skills and familiarity with Hugging Face Transformers. Background in natural language processing (NLP) , unstructured data processing , or knowledge graph development . Proficiency in containerization ( Docker , Kubernetes ) and CI/CD for scalable deployments.

Role & responsibilities: Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models. Design and optimize AI prompts for content generation, customer support, and business analytics. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage. Preferred candidate profile: Bachelors/Masters in Computer Science, AI/ML, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn. Hands-on experience with LLMs, prompt engineering, and model fine-tuning. Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer). Experience in workflow automation tools (e.g., Crew AI, LangChain). Knowledge of REST APIs, microservices, and containerization. Analytical mindset with a focus on process improvement. Perks and benefits: Competitive Salary and Professional development opportunities and training. Opportunity to work with cutting-edge technologies in a fast-paced environment. Collaborative and supportive work environment.

MSCI Services is looking for a highly skilled Company Data - Analyst to join our Fundamental Data (FD) Team within the Company Data (CDO) vertical. The CDO team is responsible for the processing, maintenance, and quality control of various Issuer level data points, including Fundamental data (Balance sheet, Income statement & Cashflow), Segment Data, and GICS assignment to the company. These data points and derived ratios serve as inputs to MSCI's various products related to Equity, Fixed Income, and ESG & Climate. Responsibilities: Responsible for executing Index projects and certifying the ongoing and historical data. Take the lead in creating a data validation process to maintain and improve large datasets. Identify areas where processes can be improved and automated through advanced AI tools and programming solutions . Spearhead key projects aimed at upgrading outdated systems , introducing innovative methods to boost operational performance. Partner with various teams, including product development, research, and operations, to ensure cohesive project execution and solution delivery. Contribute to the creation and implementation of reliable, scalable systems that meet both immediate needs and long-term goals. Encourage ongoing assessment of existing processes and recommend new strategies to improve operational efficiency and effectiveness . Use data analytics and visualization techniques to support informed decision-making and drive strategic initiatives. Qualifications: Solid understanding of financial principles and their application in capital markets. Experience in automating manual processes to improve efficiency. Basic programming skills for automation, data analysis, and database management. Ability to guide teams in driving transformation and identifying optimization opportunities . Strong cross-functional teamwork with product, research, operations, and management teams. Skilled in identifying inefficiencies and creating innovative solutions . Ability to thrive in fast-paced, evolving environments with a long-term commitment to projects. Knowledge and hands-on experience in AI fundamentals, prompt engineering, and machine learning techniques . What we offer you: Transparent compensation schemes and comprehensive employee benefits , tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements , advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection , including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

We are seeking an experienced professional in AI and machine learning with a strong focus on large language models (LLMs) for a 9-month project The role involves hands-on expertise in developing and deploying agentic systems and working with transformer architectures, fine-tuning, prompt engineering, and task adaptation Responsibilities include leveraging reinforcement learning or similar methods for goal-oriented autonomous systems, deploying models using MLOps practices, and managing large datasets in production environments The ideal candidate should excel in Python, ML libraries (Hugging Face Transformers, TensorFlow, PyTorch), data engineering principles, and cloud platforms (AWS, GCP, Azure) Strong analytical and communication skills are essential to solve complex challenges and articulate insights to stakeholders

MSCI Services is looking for a highly skilled Company Data - Associate to join our Fundamental Data (FD) Team within the Company Data (CDO) vertical. The CDO team is responsible for the processing, maintenance, and quality control of various Issuer level data points, including Fundamental data (Balance sheet, Income statement & Cashflow), Segment Data, and GICS assignment to the company. These data points and derived ratios serve as inputs to MSCI's various products related to Equity, Fixed Income, and ESG & Climate. Responsibilities: Take the lead in creating data validation processes to maintain and improve large datasets. Identify areas where processes can be improved and automated through advanced AI tools and programming solutions . Spearhead key projects aimed at upgrading outdated systems , introducing innovative methods to boost operational performance. Offer support and guidance to colleagues in utilizing tools such as Python, Power BI, SQL, and machine learning to enhance the team's technical capabilities. Partner with various teams, including product development, research, and operations , to ensure cohesive project execution and solution delivery. Contribute to the creation and implementation of reliable, scalable systems that meet both immediate needs and long-term goals. Encourage ongoing assessment of existing processes and recommend new strategies to improve operational efficiency and effectiveness . Use data analytics and visualization techniques to support informed decision-making and drive strategic initiatives. Qualifications: Solid understanding of financial principles and their application in capital markets. Experience in automating manual processes to improve efficiency. Basic programming skills for automation, data analysis, and database management. Expertise in data visualization and reporting using Power BI . Proven track record of building scalable, reliable platforms from the ground up. Ability to guide teams in driving transformation and identifying optimization opportunities . Strong cross-functional teamwork with product, research, operations, and management teams. Skilled in identifying inefficiencies and creating innovative solutions. Ability to thrive in fast-paced, evolving environments with long-term commitment to projects. Preferred Skills: Knowledge and hands-on experience in AI fundamentals, prompt engineering, and machine learning techniques. What we offer you: Transparent compensation schemes and comprehensive employee benefits , tailored to your needs, ensuring your financial security, health, and overall well-being. Flexible working arrangements , advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro, and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility, and expanded roles. We actively nurture an environment that builds a sense of inclusion, belonging, and connection , including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women's Leadership Forum.

About the Role: We are seeking a visionary AI Architect to drive our AI/ML and GenAI roadmap. You will lead the design of multi-modal generative workflows that combine image, video, and LLM-driven tasks for media workflow automation. This role will influence our core platform strategy by integrating custom and open-source diffusion models, prompt-to-image generation, segmentation, and agentic task orchestration using LLMs. Key Responsibilities: Architect AI solutions for image/video generation, segmentation, pose estimation, and retouching using diffusion models and GANs. Design agentic workflows leveraging LLMs (OpenAI, Claude, etc.) for orchestrating creative task chains, model prompting, or hybrid AI-human loops. Lead data pipeline and preparation strategy define data requirements, build annotation pipelines, and guide synthetic data generation. Evaluate and fine-tune foundation models like Stable Diffusion, ControlNet, OpenPose, DeepFaceLab, CP-VTON. Guide research, benchmarking, fine-tuning, and deployment of models. Evaluate build vs. buy decisions for third-party APIs or in-house model development. Ensure compliance with IP, client data protection, fairness, and ethical AI practices. Desired Skills: Deep experience in computer vision, generative AI (diffusion, transformers), and LLM integration Hands-on with PyTorch, Hugging Face, Diffusion/ GAN Architectures Hands-on with LLM and agentic frameworks like LangChain, AWS Bedrock Strong understanding of synthetic data pipelines, model evaluation metrics, and prompt engineering Strong understanding of image harmonization, segmentation, texture transfer Ability to architect scalable ML pipelines combining image/video generation with LLM reasoning Experience leading a technical team or managing AI initiatives end-to-end. Familiarity with AWS/GCP, GPU infrastructure, and scalable AI model serving Familiarity with co-pilot tools and AI-assisted code generation to accelerate prototyping and implementation of AI systems Desired Profile & Qualification: 8+ years in AI/ML roles including leadership in GenAI or CV-heavy platforms Degree in Computer Science, Machine Learning, or related field (MS/PhD preferred). Prior contributions to open-source AI or research publications is an advantage Note: This is an on-site position.

Front End Lead React/Angular JS 7 - 10 YEARS PUNE/BANGALORE/Hyderabad Skills required to contribute: Mandatory frontend web development using Angular and ReactJS Develop and maintain web applications using Angular, ReactJS, TypeScript, ES5/ES6, HTML5, and CSS3/ SASS/SCSS, VueJS/NextJS/NuxtJS Implement responsive and accessible designs following the Atomic Design Model Build reusable library components to enhance development efficiency and maintain a consistent user experience Familiarity with cloud platforms like AWS, Azure, or GCP Collaborate with backend developers to integrate frontend components with APIs and services Optimize application performance, bundle size, and loading speed using tools like Webpack and Module Federation (MFA) Write unit tests using JEST/JASMINE to ensure code quality and maintainability Participate in code reviews and provide constructive feedback to team members Stay up-to-date with emerging frontend technologies and best practices Excellent problem-solving and debugging skills Strong communication and collaboration abilities Ability to work independently and deliver high-quality code within deadlines Good to Have: Experience with backend technologies such as NodeJS, .NET Core, or Java Spring Boot Knowledge of CI/CD pipelines and tools Experience with Docker containers and Kubernetes Contributions to open-source projects or personal side projects