633 Gen Ai Jobs - Page 15

Working knowledge of Azure AI Working knowledge of LLM , RAG- Data insights , Reasoning Agent , Chain of thought Knowledge of Graph DB , COSMOS DB , Neo4j Prompt engineering API building Domain knowledge in Finance , data management Should have worked on enterprise AI use cases and one go live solution.

We are hiring for a UI Path Specialist for Mumbai/ Pune/ Noida/ Chennai/ Hyderabad Summary: We are looking for a hands-on UiPath specialist with comprehensive experience in standard RPA and advanced modules utilizing cutting-edge technologies such as Document Understanding, Communication Mining and Process/Task discovery. The ideal candidate will have a strong background in AI and GenAI, as well as experience in integrating various business systems. Key Responsibilities: - Develop and deploy automation solutions using UiPath - Integrate automation solutions with diverse business systems - Apply AI and GenAI technologies to enhance automation capabilities - Collaborate with clients to understand their requirements and provide tailored solutions - Continuously explore and adopt new technologies to improve service offerings. Required Skills: - Hands-on experience in UiPath, including advanced modules - Strong knowledge of AI and GenAI technologies - Proficiency in Python and/or JavaScript - Experience in integrating with various business systems - Excellent communication skills - Client-facing experience and ability to understand client needs - Willingness to learn and adapt to new technologies. Certifications: - UiPath Certified Professional (Advanced RPA Developer or equivalent) - Certifications in AI and/or machine learning are a plus

Lead Data Scientist role. Work Location- Hyderabad/ Remote Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills • 5+ years of work experience in writing code in Python • Experience in using various Python libraries like Pandas, NumPy • Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) • Strong experience on AI assisted coding experience. • AI assisted coding for existing IDE's like vscode. • Experimented multiple AI assisted tools and done research around it. • Deep understanding of data structures, algorithms, and excellent problem-solving skills • Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. • Experience in building models for ML tasks (Regression, Classification) • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings • Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) • Experience in distributed training of models on Nvidia GPU’s • Familiarity in Dockerizing the model and create model end points (Rest or gRPC) • Strong working knowledge of source code control tools such as Git, Bitbucket • Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous • Strong drive to learn and master new technologies and techniques • Strong communication and collaboration skills • Good attitude and self-motivated Mandatory Skills- *Strong Python coding, Machine Learning, Software Engineering, Deep Learning, Generative AI, LLM, AI Assisted coding tools.*Responsibilities: Develop machine learning models using Python & NLP techniques. Optimize data pipelines for efficiency & accuracy. Collaborate with cross-functional teams on product development.

BMC is looking for a talented Java Product Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Contribute to be a member of the Development team responsible for developing and debugging of software products. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Work across product lines with interaction of other BMC products Independently design and implement features that address customer needs with a sense of ownership within given timelines As every BMC employee, you will be given the opportunity to learn, be included in global projects, challenge yourself and be the innovator when it comes to solving everyday problems. To ensure youre set up for success, you will bring the following skillset & experience: You can embrace, live and breathe our BMC values every day! You have 8+ years of experience with scalable and secure application design & development as a Full Stack Developer using Java 8 and above, Web Services especially RESTful (secured REST APIs-using OAuth2, JWT), expertise in Springboot and Microservices You have familiarity with static code analyzers like Sonar for automated reviews You have the ability to write code for GUI development using Angular, TypeScript, JavaScript(ES6+) You have problem solving skills, excellent debugging and Performance Monitoring & Optimization skills You have experience in conducting effective Code Reviews You have exposure to Architectural Concepts and can work in the Team collaboratively to arrive at Optimal Solutions. You have knowledge of design patterns, object-oriented software development and high-performance code characteristics and of version control systems like Git and bitbucket. You have expertise in CI/CD environment with popular DevOps tools- Especially Jenkins CI/CD Pipeline and Git You have experience in TDD (Test Driven Development). You have experience or knowledge on JIRA, Confluence. You have preferably some experience with any automation tool preferably Playwright / Selenium You have preferably some experience in using VS Code (Visual Studio Code). You have experience or knowledge on Agile with Scrum and Kanban being preferable. Having knowledge of Gen AI will be a plus

Blend at a glance: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Role Highlights Experience in owning multiple, projects end-to-end and manage the process and team of analysts, escalating blockers when required. Contributing to proposal submissions and business development initiatives under the direction of the Leadership team Designing data science solutions end to end with appropriate time estimations and resourcing Experience in preparing and presenting compelling analysis findings to clients and senior stakeholders Proven experience as a Data Scientist, with a strong portfolio of data science projects; ability to demonstrate how to perform data cleaning, QC and exploratory analysis to discover key insights Commercial experience using predictive modelling (supervised and unsupervised) and proficiency in programming languages like Python and R or similar; solid understanding of database technologies and SQL. Strong knowledge and experience using predictive modelling (supervised and unsupervised) machine learning, data mining, and statistical modelling in a commercial setting. Excellent communication and collaboration skills; ability to work effectively in a fast-paced, dynamic environment What You'll Tackle Each Day: Experience more complex applications of ML such as NLP, computer vision or optimization is advantageous Ability to work and process large amounts of data/experience working with cloud environments Experience and working knowledge of relevant sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries) is desired but not essential Experience with proposal submissions and business development initiatives under the direction of the Leadership team Experience in designing data science solutions from concept through to evaluation and monitoring models in production. Experience in managing teams or supporting team development Prompt engineering knowledge, with familiarity in different strategies. Exposure to various prompt engineering techniques in different scenarios

Req ID: 323754 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data & AI Technical Solution Architects to join our team in Chennai, Tamil N?du (IN-TN), India (IN). Job Duties: The Data & AI Architect is a seasoned level expert who is responsible for participating in the delivery of multi-technology consulting services to clients by providing strategies and solutions on all aspects of infrastructure and related technology components. This role collaborates with other stakeholders on the development of the architectural approach for one or more layer of a solution. This role has the primary objective is to work on strategic projects that ensure the optimal functioning of the client's technology infrastructure. . Key Responsibilities: . Ability and experience to have conversations with the CEO, Business owners and CTO/CDO . Break down intricate business challenges, devise effective solutions, and focus on client needs. . Craft high level innovative solution approach for complex business problems . Utilize best practices and creativity to address challenges . Leverage market research, formulate perspectives, and communicate insights to clients . Establish strong client relationships . Interact at appropriate levels to ensure client satisfaction . Knowledge and Attributes: . Ability to focus on detail with an understanding of how it impacts the business strategically. . Excellent client service orientation. . Ability to work in high-pressure situations. . Ability to establish and manage processes and practices through collaboration and the understanding of business. . Ability to create new and repeat business for the organization. . Ability to contribute information on relevant vertical markets . Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools. Minimum Skills Required: Academic Qualifications and Certifications: . BE/BTech or equivalent in Information Technology and/or Business Management or a related field. . Scaled Agile certification desirable. . Relevant consulting and technical certifications preferred, for example TOGAF. Required Experience: 12-15 years . Seasoned demonstrable experience in a similar role within a large scale (preferably multi- national) technology services environment. . Very good understanding of Data, AI, Gen AI and Agentic AI . Must have Data Architecture and Solutioning experience. Capable of E2E Data Architecture and GenAI Solution design. . Must be able to work on Data & AI RFP responses as Solution Architect . 10+ years of experience in Solution Architecting of Data & Analytics, AI/ML & Gen AI Technical Architect . Develop Cloud-native technical approach and proposal plans identifying the best practice solutions meeting the requirements for a successful proposal. Create, edit, and review documents, diagrams, and other artifacts in response to RPPs RFQs and Contribute to and participate in presentations to customers regarding proposed solutions. . Proficient with Snowflake, Databricks, Azure, AWS, GCP cloud, Data Engineering & AI tools . Experience with large scale consulting and program execution engagements in AI and data . Seasoned multi-technology infrastructure design experience. . Seasoned demonstrable level of expertise coupled with consulting and client engagement experience, demonstrating good experience in client needs assessment and change management. . Additional Job Description Additional Job Description Additional Career Level Description: Knowledge and application: . Seasoned, experienced professional has complete knowledge and understanding of area of specialization. . Uses evaluation, judgment, and interpretation to select right course of action. Problem solving: . Works on problems of diverse scope where analysis of information requires evaluation of identifiable factors. . Resolves and assesses a wide range of issues in creative ways and suggests variations in approach. Interaction: . Enhances relationships and networks with senior internal/external partners who are not familiar with the subject matter often requiring persuasion. . Works About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Responsibilities: * Lead digital transformations using Six Sigma Black methodology. * Drive business & process transformations with expertise in Gen AI, RPA. * Collaborate with clients on strategy development & execution.

Build scalable services using Java & Spring Boot or full-stack, implement APIs, optimize performance, ensure security, collaborate with teams, review code, and contribute to architecture. Mentor/Manage freshers.

Should have exp with Agen c frameworks like Crew AI, Lang, graph, Swarm AI etc. Must have contributed significantly to the development of at least 2 Gen AI projects. Must have worked with mul ple Gen AI models including GPT, Claude, Qwen, Lama etc.

About the Role: As a Senior Associate Quality, Training, Process Excellence, and Escalations , you will support efforts to enhance customer and seller support operations through high-quality service delivery, efficient processes, and innovative tools. You will contribute to initiatives focused on training, quality assurance, process improvement, and the thoughtful adoption of GenAI technologies. This role is ideal for someone with hands-on experience in support operations, a keen interest in technology-driven solutions, and a drive to improve service performance through collaboration and continuous learning. What will you do Support GenAI Adoption & Operational Improvements: Assist in integrating GenAI tools to improve support workflows and enhance the efficiency of customer and seller interactions. Contribute ideas and execute plans that help teams make better decisions and deliver more personalized, responsive support. Contribute to Quality Assurance Initiatives: Help implement quality monitoring practices and analyze support data to identify areas for improvement. Collaborate with team leads to ensure consistent service delivery and share insights that improve customer experience. Deliver and Improve Training Programs: Work with training leads to design and deliver scalable training content, including AI-driven modules. Help keep training material up-to-date and relevant to evolving customer needs and product changes. Enhance Process Excellence Efforts: Participate in process audits and support the design of process improvements that enhance efficiency and consistency. Document best practices and assist with rolling out operational updates to support teams. Support Escalation Management: Assist in managing and tracking complex support escalations, ensuring timely and effective resolution while identifying trends for long-term improvements. What will you need 1 to 3 years of experience working with AI tools, customer service processes, or quality/training programs, preferably in a support operations environment. Familiarity with GenAI technologies and a strong interest in learning how to apply them to real-world service challenges. Attention to detail and strong analytical skills to help assess quality data, identify trends, and recommend improvements. Good communication and collaboration abilities , with experience working across teams to implement process or training updates. Proactive mindset , eager to learn and contribute to a culture of continuous improvement and service excellence.

SN Required Information Details 1 Role Lead - HRO Transformation 2 Required Technical Skill Set Solution mind set, Problem solver, good understanding of technology, strong project management skills Location of Requirement Mumbai Desired Competencies (Technical/Behavioral Competency) Must-Have Minimum 15+ years of experience in HRO Outsourcing industry of which at least 8+ years in managing large HR Transformation initiatives. • End-to-End conceptualization and delivery of all HRO Transformation solutions for clients encompassing formulation and deployment of Digital Assets and Analytics solutions and Creating / proposing a transformation road map for existing clients /processes. • Lead the customer engagement, design and change process with customers that meet and exceed their business requirements and enable the successful build and implementation of Digital solutions • Digital Initiatives across following primary impact areas; Infusion of Digital Technologies within Multiple domains to differentiate processing capabilities (Customer Experience) from Contact to Contract to Renewal - delivering business outcomes • Experience with major HR technology platforms (Workday, SuccessFactors, Service Now HRSD, etc.), Gen AI / AI ML led platform solutions, Automation RPA / Chatbot led platform solutions across Hire to Retire process • Partner with IT to evaluate, select, and implement HR technology solutions • Manage complex, multi-workstream transformation programs from conception through implementation. • Drive project planning, resource allocation, risk management, and benefits realization • Lead systems integration efforts to create seamless HR service delivery Addon Requirements • Demonstrated proactive, positive conflict resolution skills. • Excellent analytical and problem-solving skills • Excellent communicator at all levels • Intellectual curiosity, appetite to do things better and proactive nature. • Operating model design, Value chain mapping and business process reengineering, end-customer experiences, new technologies, intelligent automation and robotics, data and analytics, platform business models, straight through operations processes, AI and ML, and other traditional and digitally related transformation activities which deliver significant improvements to business efficiency and effectiveness. Good-to-Have 1. MBA HR qualification/Relevant HR Qualification 2. PMP Certifications/ Certifications in RPA/AI/ML DOMAIN 3. Lean Six Sigma Certification 4. Agile methodology

Role & responsibilities • Familiarity with Mainframe and Midrange platforms is essential for integrating Gen AI solutions into legacy enterprise systems. Candidate should understand data structures, interfaces, and operational workflows on platforms like IBM Z(Mainframe) and IBM I (Midrange). Experience in modernizing and bridging AI applications with these systems is a strong advantage. masters or PhD in Computer Science, Machine Learning, or related field (or equivalent experience) 5+ years in AI/ML development, with 3+ years focused on generative AI (LLMs, GANs, VAEs, etc.) Proven track record of deploying generative AI solutions in production environments mandatory technical skills: deep expertise in generative architectures (GPT, Transformers, Diffusion Models) Experience with NLP tools (Hugging Face, spaCy) and vector databases (Pinecone, FAISS) mandatory proficiency in Python, PyTorch/TensorFlow, and cloud platforms preferred: knowledge of multimodal AI (text-to-image, video synthesis) experience with reinforcement learning (RLHF) for model alignment preferred familiarity with AI ethics frameworks (e.g., AI Fairness 360) strong analytical and problem-solving skills, excellent communication and collaboration abilities, attention to detail and ability to work independently Interested candidate can share me resume in recruiter.wtr26@walikingtree.in

8+ years of total experience with 5+ years of professional experience in AI, ML or a related field. Master's or PhD in Computer Science, Mathematics, AI or a related field. Good mathematical understanding of machine learning and deep learning algorithms. Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability. Experience with Natural Language Processing, Deep Learning, and Computer Vision techniques. Proficiency in programming languages such as Python or Scala, along with experience using DL frameworks like TensorFlow, PyTorch etc. Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Experience in program leadership, governance, and change enablement Understand client challenges and propose solutions based on AI/GenAI capabilities. Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards. Work on functional design, process design, prototyping, testing, training, and defining support procedures, in collaboration with data engineering team and executive leadership. Train and deploy AI models to solve complex business problems or automate processes. Convert AI/ML models into APIs to be used in other applications. Manage a team in implementing AI solutions and developing products. Collaborate with external partners, such as research institutions or universities, to explore innovative AI approaches and foster collaborative research projects. Ensure compliance with data privacy regulations and ethical guidelines while working with sensitive and confidential data. Stay up to date with the latest developments in machine learning and AI. Experience working with Azure Data & AI services. Experience with MLOps tools like MLFLow, Azure MLOps or similar tools. High level of ownership and creative problem solving under resource constraints. Excellent verbal and written communication skills. Ability to interact with C-Level executives

Job Description: Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML.

Role & responsibilities Role Overview We are seeking a Senior Associate Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 4 to 6 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future. Shift:11am-8pm

Job Title : AI Engineer Location: Chennai Experience: 5+ Years (Hands-On Data Science & AI) Employment Type: Full-Time Work type - Work from office. About the Role We are seeking a skilled AI Engineer with deep hands-on experience in ML, NLP, LLMs, GenAI, and Agentic AI to join our technology team focused on automating US mortgage loan processing workflows. This role involves designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure. Key Responsibilities Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes. Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks. Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents. Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering. Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models. Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services). Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions. Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows. Required Skills & Qualifications 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems. Proven expertise with LLMs (e.g., OpenAI, Ollama, GPT-4, Mistral) and LangChain / AutoGen / Agentic AI design. Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers. Strong knowledge of Azure Cloud including Azure ML, Azure Functions, Azure DevOps. Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models into production-scale environments. Nice to Have Understanding of US mortgage or lending workflows (1003, 1008, bank statements, etc.). Experience with OCR, document intelligence tools (Azure Form Recognizer, Amazon Textract). Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining. Knowledge of privacy and compliance frameworks (HIPAA, SOC2) in AI deployments. What We Offer Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation. Access to top-tier tools, frameworks, and cloud platforms. Remote flexibility and career growth in an innovation-first team. Impactful work transforming legacy loan operations through AI. Interested candidates kindly share your resume to SGrace@ca-usa.com.

We are looking for Services Offering Lead with 8+ years of experience in IT Infrastructure solutions, AI and Hybrid Cloud Solutions, Engineering graduate with overall 8+ years of experience in development and Lifecycle Management of Professional and Managed Services Should have 6+ years of experience in developing and executing a Go-to-market strategy in collaboration with cross functional teams development, logistics and legal etc. Proficient in managing managed services solutions offering, Digital Workplace, AI, Cloud Infrastructure (Hybrid On Premises). Strong experience in Pricing strategies, competitive analysis, competitor & market analysis, benchmarking service offerings features and suggestions for add-on to continuously assess the competitive landscape and refine strategies. Qualifications: Bachelors degree in technology, business or any relevant field. 5+ years of product and business management experience in the IT services industry. Share your updated CV, if interested Contact Person: Ms John blessy & Ms Madhumitha 9047088211/9047766046 johnblessy.l@haarvard.com madhumitha.v@haarvard.com

About this role: Wells Fargo is seeking a Principal Engineer to drive the design, development, and implementation of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the AI operating model for both horizontal (cross product/platform) and vertical support (product specific). As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. This role will be a key contributor to shaping AI infrastructure, governance, and automation frameworks, working closely with cross-functional partners in technology, product management, and operations. The horizontal focus of this role will support AI platform scalability, reliability and AI governance, ensuring alignment across EFT, while the vertical focus will support specific applications and their integration within business domains. The successful candidate will have a deep expertise in AI engineering, cloud-based AI deployment, and AI model lifecycle management, along with experience in architecting AI solutions that align with responsible principles and enterprise business objectives. This is a unique opportunity to lead AI engineering efforts while shaping the AI operating model. In this role, you will: Design, develop and optimize Gen AI applications using agentic frameworks and tools Accelerate end to end solution delivery timelines by developing automated data, prompting and evaluation pipelines Streamline the enablement of AI solutions by building solution blueprints, re-usable patterns and identifying process improvements Lead AI engineering efforts that drive the design, development, scalability, and evolution of AI-powered products, ensuring AI adoption. Research and guide engineering efforts to solve complex engineering challenges and balance accuracy, latency and cost Evolve the AI operating model, ensuring seamless integration of AI solutions into business domains while providing horizontal AI governance and infrastructure support. Develop automated AI model monitoring frameworks, enabling continuous model updates, explainability, and performance tracking. Develop and scale AI platforms leveraging Large Language Model (LLM) services, real time analytics, AI automation, and intelligent decision-making. Act as an advisor and collaborate with leadership to integrate AI into existing enterprise systems and cloud platforms to implement innovative and significant business solutions. Drive cross-functional collaboration to define AI roadmaps, infrastructure strategies, and product enhancements, ensuring AI capabilities align with business AI strategies. Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that require vision, creativity, innovation, and advanced analytical and thinking. Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization. Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership. Responsible for meticulous governance to address the unique risks posed by GenAI. Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 7+ years of engineering experience building and supporting large scale customer facing products using modern technologies 3+ years building and delivering products using AI technologies. Desired Qualifications: Strong expertise in AI model development and deployment with a strong background in LLMs, generative AI, and AI-engineering. Deep experience with generative AI models, including model prompting, tuning, and safety best practices. Expertise in solution architecture and applying modular design techniques to agentic workflows Solid grasp of data and error analysis, identifying issues and patterns throughout the AI pipeline Strong expertise in test or eval driven development, ensuring robust and scalable AI software. Experience in backend application software development, with ability to quickly adapt to C#, and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), knowledge graphs and agentic workflows. Deep knowledge of AI infrastructure, Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Passion for building AI solutions that deliver a seamless, end-user-focused experience. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Lead projects, teams, and serve as a peer mentor. Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.

About this role: Wells Fargo is seeking a Senior Software Engineer to provide product support and drive the evolution of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the operating model to provide both vertical (product specific) and horizontal (cross product/platform) support. Your work will directly align with Wells Fargos mission to innovate and enhance the employee experience using advanced technology. The successful candidate will be able to build and maintain reliable, secure, and scalable AI solutions that improve employee workflows and enable seamless system integrations. As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. In this role, you will: Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, model feedback and tuning mechanisms, and safety guardrails. Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Provide engineering support for AI driven solutions that enhance and streamline work processes, ensuring reliable, secure, and scalable applications aligned with business priorities. Act as a thought leader in developing standards and enterprise best practices for engineering complex and large-scale technology solutions for technology engineering disciplines. Design, code, test, and document solutions that align with both product specific and enterprise-wide goals. Lead the development of frameworks and solutions that provide both vertical support to specific business-aligned products and horizontal capabilities that can scale across multiple platforms. Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, and service as a peer mentor. Stay current on emerging technologies in AI to continue to the strategy discussion for future capability development. 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 4+ years of engineering experience building and supporting large scale customer facing products using modern technologies. 2+ years building and delivering products using AI technologies. Desired Qualifications: Experience in backend application software development, with ability to quickly adapt to C# and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering and agentic workflows. Deep knowledge of implementing guardrails and advanced techniques for query enrichment and re-writing Expertise in test or eval driven development including data and error analysis ensuring robust and scalable AI software. Experience architecting and implementing agentic frameworks for autonomous multi-step reasoning and planning Solid grasp of parsing, chunking, indexing and re-ranking of multiple file formats Experience with Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Proven ability to work across multiple teams and functions to drive alignment and execution. Demonstrated success in designing usability and delivering seamless user experience. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.

About this role: Wells Fargo is seeking a Lead Software Engineer to provide product support and drive the evolution of Artificial Intelligence (AI) enabled applications aligned to employee-facing lines of business in Enterprise Functions Technology (EFT). The EFT AI team will focus on building intelligent, efficient, and user-centric tools to accelerate the work of users in Finance, Human Resources, Risk, Audit, Legal, Public Affairs, Diverse Segments and EFT Platform Technology. In addition to hands-on development, this role will play a key part in evolving the operating model to provide both vertical (product specific) and horizontal (cross product/platform) support. Your work will directly align with Wells Fargos mission to innovate and enhance the employee experience using advanced technology. The successful candidate will be able to build and maintain reliable, secure, and scalable AI solutions that improve employee workflows and enable seamless system integrations. As a key technical contributor, you will collaborate with cross-functional teams to align solutions with the mission of transforming the Wells Fargo employee experience. In this role, you will: Build Large Language Model (LLM) powered applications that support powerful capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, model feedback and tuning mechanisms, and safety guardrails. Build systems utilizing Large Language Models (LLM) involving data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors. Provide engineering support for AI driven solutions that enhance and streamline work processes, ensuring reliable, secure, and scalable applications aligned with business priorities. Act as a thought leader in developing standards and enterprise best practices for engineering complex and large-scale technology solutions for technology engineering disciplines. Design, code, test, and document solutions that align with both product specific and enterprise-wide goals. Lead the development of frameworks and solutions that provide both vertical support to specific business-aligned products and horizontal capabilities that can scale across multiple platforms. Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals. Lead projects, teams, and service as a peer mentor. Stay current on emerging technologies in AI to continue to the strategy discussion for future capability development. Required Qualifications: 5+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education 5+ years of engineering experience building and supporting large scale customer facing products using modern technologies. 2+ years building and delivering products using AI technologies. Desired Qualifications: Experience in backend application software development, with ability to quickly adapt to C# and Python code bases. Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering and agentic workflows. Deep knowledge of implementing guardrails and advanced techniques for query enrichment and re-writing Expertise in test or eval driven development including data and error analysis ensuring robust and scalable AI software. Experience architecting and implementing agentic frameworks for autonomous multi-step reasoning and planning Solid grasp of parsing, chunking, indexing and re-ranking of multiple file formats Experience with Generative AI Operations, and enterprise-scale AI adoption strategies. Familiarity with enterprise-scale software systems and their integration within large organizations. Experience in enterprise AI model lifecycle management, AI compliance, and risk mitigation strategies. Strong understanding of human centered AI design for workplace applications. Proven ability to work across multiple teams and functions to drive alignment and execution. Demonstrated success in designing usability and delivering seamless user experience. Excellent collaboration, communication, and problem-solving skills. Job Expectations: Be Humble: You're smart yet always interested in learning from others Work Transparently: You always deal in an honest, direct, and transparent way. Take Ownership: You embrace responsibility and find joy in having the answers Learn More: You regularly self-educate and improve your skill set. Show Gratitude: You show appreciation and respect to those you work with.

Job Description: We are seeking a highly skilled and motivated Data Scientist with strong expertise in DS Concepts & GenAI. You will play a key role in lead and manage the projects for developing AI-powered applications, tools, and workflows that solve real-world business problems. Responsibilities: Data Science & Analytics Contribute to the development of machine learning models, statistical analyses, and AI solutions. Review and validate models for accuracy, scalability, and business relevance. Ensure best practices in data preprocessing, feature engineering, and model evaluation. Stay updated with the latest advancements in data science, ML, and AI technologies. GenAI & Agentic AI (Good to have) Good knowledge of LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), GenAI models and Agentic AI frameworks Implement Agentic AI systems that can autonomously perform tasks, reason, and adapt Lead projects involving text generation, chatbots, synthetic data creation, and AI-driven works Project & Team Management: Manage data science projects, ensuring timely delivery and alignment with business goals. Coordinate between data scientists, engineers, and business stakeholders to define project requirements. Track project progress, identify risks, and propose mitigation strategies. Support the hiring, onboarding, and mentoring of junior data scientists. Tools & Technologies: Evaluate and recommend data science tools, platforms, and libraries. Assist in managing cloud-based ML environments (AWS, Azure, GCP) or on-prem solutions. Support MLOps processes for model deployment and monitoring. Skills: Strong working experience in Python/R, SQL, Data Science libraries (Pandas, NumPy, Scikit-learn, etc), ML frameworks (TensorFlow, PyTorch, etc) Familiar with big data tools (Spark, Hadoop) and cloud platforms (AWS/Azure/GCP). Knowledge of MLOps, CI/CD pipelines, and model deployment. Proficiency in data visualization (PowerBI/Tableau, Matplotlib/Seaborn). Excellent Communication, Leadership, and Problem-solving skills. Bachelors/Master’s degree in Statistics, Mathematics, Economics, Data Science, Computer Science or related fields. Hands-on Data Science project experience is a must and Data Science/AI Certifications will be a huge plus. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

vConstruct , a Pune based Construction Technology company seeks a Project Manager for their AI/ML team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Glimpse of Projects: - Creation of GPT for Construction Industry on Construction Data (Unstructured & Structured Data). - Use Computer Vision to help Object Detection on 2D Drawings and 3D BIM Models - Detailed use of Stats frameworks for Predicting Losses on Construction Site Data or to predict win/ loss of opportunities with clients. Predict Quantities required for similar type of sites etc. - Automation AI has deep integration with other groups of Construction Operations to automate our current work processes and make them more efficient using pre-built Models, Azure ML Services or other ML Techniques. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct. If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Key Responsibilities: Project Planning & Execution Define and manage AI/ML project scope, timelines, deliverables, and risk profiles. Build detailed project roadmaps with clear milestones and sprint plans. Oversee the complete AI lifecycle from use-case discovery to model deployment. Cross-Functional Collaboration Act as the strategic link between data scientists, ML engineers, ML Ops, domain SMEs, and Initiative Leads. Facilitate agile ceremonies including sprint planning, retrospectives, and stakeholder reviews using GitHub or Azure DevOps. Risk & Dependency Management Anticipate and mitigate risks around data readiness, infrastructure, and cross-team dependencies. Manage change control, escalations, and course corrections proactively. Governance & Documentation Maintain complete project documentation including use case briefs, dashboards, decision logs, and ROI reports. Ensure compliance with internal standards, policies, and AI governance frameworks. Qualification: Bachelors or Masters in engineering, Data Science, Computer Science, or related field. Certifications in PMP, PMI-ACP, or Agile/Scrum methodologies. Relevant PM Degrees in case any. Familiarity with cloud-based AI platforms (Azure ML, AWS Sagemaker, etc.) 8-10 years of professional experience with atleast 4 years of experience in data science, machine learning, and analytics, with a proven track record of delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Understanding of Python & SQL will be good to have. Proficiency in ML, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Good to have knowledge of NLP(Natural Language Processing) and Computer Vision. About vConstruct : vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com

Hope youre doing well.. As discussed, please find Job details and Description below Mandaoty skills - Java +AI (Gen AI, Python, java,spring boot, microservice,Chatbot development) Experience 8 + Years Location PAN India ( Hybrid-2 WFO ) Responsibilities: Design and implement new services, features and enhancements, contributing to our high-scale tools and services. Collaborate with various stakeholders, including product management, analysts, and data engineers. Develop well-architected, elegant software solutions with a passion for excellence. Perform and Participate in peer code reviews. Provide and receive constructive feedback. Stay up-to-date with emerging technologies and industry trends Qualifications Experience in backend development. Strong proficiency in Java and Spring framework. Hands-on experience building web applications, databases, and microservices at large scale. Excellent communication skills in English, both verbally and written. Experience with AWS . Excellent problem-solving skills and ability to work independently. You are flexible in your working hours by working with the US on a semi-regular basis. You have the ability to quickly learn new technologies and methodologies. Must have exp on AI/ML . Hands-on experience with Automation (preferred Workato) Hands-on experience with Phyton development

Role & responsibilities We are seeking an experienced and technically strong Machine Learning Engineer to design, implement, and operationalize ML models across Google Cloud Platform (GCP) and Microsoft Azure. The ideal candidate will have a robust foundation in machine learning algorithms, MLOps practices, and experience deploying models into scalable cloud environments. Responsibilities: Design, develop, and deploy machine learning solutions for use cases in prediction, classification, recommendation, NLP, and time series forecasting. Translate data science prototypes into production-grade, scalable models and pipelines. Implement and manage end-to-end ML pipelines using: Azure ML (Designer, SDK, Pipelines), Data Factory, and Azure Databricks Vertex AI (Pipelines, Workbench), BigQuery ML, and Dataflow Build and maintain robust MLOps workflows for versioning, retraining, monitoring, and CI/CD using tools like MLflow, Azure DevOps, and GCP Cloud Build. Optimize model performance and inference using techniques like hyperparameter tuning, feature selection, model ensembling, and model distillation. Use and maintain model registries, feature stores, and ensure reproducibility and governance. Collaborate with cloud architects, and software engineers to deliver ML-based solutions. Maintain and monitor model performance in production using Azure Monitor, Prometheus, Vertex AI Model Monitoring, etc. Document ML workflows, APIs, and system design for reusability and scalability. Primary Skills required (Must Have Experience): 5 -7 years of experience in machine learning engineering or applied ML roles. Advanced proficiency in Python, with strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. Solid understanding of core ML concepts: supervised/unsupervised learning, cross-validation, bias-variance tradeoff, evaluation metrics (ROC-AUC, F1, MSE, etc.). Hands-on experience deploying ML models using: Azure ML (Endpoints, SDK), AKS, ACI Vertex AI (Endpoints, Workbench), Cloud Run, GKE Familiarity with cloud-native tools for storage, compute, and orchestration: Azure Blob Storage, ADLS Gen2, Azure Functions GCP Storage, BigQuery, Cloud Functions Experience with containerization and orchestration (Docker, Kubernetes, Helm). Strong understanding of CI/CD for ML, model testing, reproducibility, and rollback strategies. Experience implementing drift detection, model explainability (SHAP, LIME), and responsible AI practices. • Strong Python development skills (FastAPI, Pandas, requests, etc.). • Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination. • Knowledge of LLMs and entity extraction techniques using Azure OpenAI or equivalent models. • Experience with prompt engineering and response formatting (JSON, Markdown, tabular). • Familiarity with search engineering concepts: query understanding, result ranking, context optimization. Preferred candidate profile

Primary Skills (Must have hands on Exp): Gen AI, RAG, LLM, Agentic AI, Data Science, Python, AI/ML, API Integration GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. • Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. • Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. • Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. • API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. • Documentation: Excellent documentation and communication skills. Role & responsibilities As a Technical Architect with expertise in OpenAI technology, you will play a pivotal role in the design, implementation, and optimization of AI applications and systems. You will collaborate closely with cross-functional teams, software engineers, data scientists, and product managers to ensure the successful deployment of OpenAI technology. Your responsibilities will include: Primary Responsibilities: • AI Solution Design: Lead the design of AI solutions powered by OpenAI technology, defining system architecture and components. • Technical Leadership: Provide technical leadership and guidance to development teams in implementing OpenAI solutions. • OpenAI Model Selection: Identify and recommend the appropriate OpenAI models, such as GPT-3, GPT-4, or specific language models, based on project requirements. • Scalability and Performance: Ensure that AI solutions are scalable and optimized for performance, especially when dealing with large datasets. • API Integration: Integrate OpenAI APIs and SDKs into applications and services, ensuring seamless functionality. • Model Fine-Tuning: Collaborate with data scientists to fine-tune OpenAI models for specific use cases or domains. • Data Processing: Oversee data preprocessing and feature engineering to prepare data for input into OpenAI models. • Security and Compliance: Address security and compliance considerations in OpenAI-powered solutions, particularly when handling sensitive data. • Documentation: Create and maintain technical documentation for OpenAI architectures, model usage, and best practices. • Training and Mentorship: Mentor team members and facilitate knowledge sharing and skill development. • Conduct code reviews and refactoring wherever possible Preferred candidate profile