34 Open Ai Jobs

Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelors degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset

Design, develop, & optimize AI-powered apps Implement large language models (LLMs) & generative AI apps Integrate Copilot Studio, Azure AI Search, and other AI/ML platforms into enterprise solutions RAG (Retrieval-Augmented Generation) architecture Required Candidate profile 7+ yrs of exp in Python, C#, Java, JavaScript, C++ Generative AI capabilities Strong .NET Full Stack exp 3+ yrs of experience as Full Stack Developers & AI exposure can apply not a Data Scientist role

"We're Hiring For Generative Ai Engineer Role at Bangalore Location" Position: Generative Ai Engineer Experience: 7+ Years Location: Bangalore Responsibilities Develop and deploy scalable big data and AI solutions using Databricks and Azure. Implement RAG pipelines and integrate GenAI APIs for document and image retrieval. Perform finetuning of LLM models and manage prompt engineering workflows. Ensure the end-to-end solution is optimized for performance and scalability. Collaborate with software and ML teams for integration of AI capabilities. Deploy GenAI projects in production in Azure and Databricks. (Must) Required Qualifications Bachelors or Masters degree in Computer Science or related field. 7+ years of experience in big data and AI development. Strong experience with Databricks, Pyspark, and Python. Experience in deploying GenAI projects in production. Preferred Qualifications Familiarity with RAG architecture and document-based retrieval systems. Experience with Azure OpenAI, LangChain, Pinecone or similar tools. Experience with deploying LLM, VLM Models in Cloud Experience with MLOps tools such as MLFlow or similar tools. Technologies Used Python, Pyspark, Databricks, Azure ML, LangChain, OpenAI API, Pinecone, MLFlow More information: +91 73597 10155 | rushit@tekpillar.com

V2Soft India Pvt Ltd Experience: 10+ years of experience in the field of AI and ML ( Machine Learning ) Overall Experience : Location: Bangalore and Chennai Work Mode: Hybrid Mode: Notice Period: Immediate to 30 days Experience : 3 Years of relevant experience and previous work in any related AI is a plus. Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol ) Agentic AI LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy Deploying Models on-prem and on the cloud

Role - AI/ ML Engineer Location - Gurugram We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelors or Master’s degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.

We are looking for an experienced AI Developer or aspiring CTO who is ready to take up a co-founder-level role and lead the entire AI development.This is not just another jobit’s an opportunity to build a game-changing product from the ground up , shape the company’s future, and be rewarded with long-term equity and profits. Responsibilities Take end-to-end ownership of AI product development (design, architecture, implementation, optimization). Build and deploy AI/ML/NLP models for intelligent data extraction, analysis, personalization, and automation. Integrate third-party APIs (e.g., ChatGPT API, Make.com, Apify, Hunter, Apollo, etc.). Work closely with frontend/backend teams to build seamless user experiences. Continuously monitor, evaluate, and optimize AI solutions. Contribute to product strategy and roadmap as part of the core leadership team. Create scalable, secure, and modular systems for AI agents, market research tools, and CRM components. Must-Have Qualities Strong experience in AI/ML/NLP (e.g., OpenAI, LangChain, vector databases, RAG pipelines). Proven expertise in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch). Experience with APIs, automation workflows, no-code/low-code integrations, and AI infrastructure. Startup mindset: proactive, resourceful, and comfortable working with ambiguity. Entrepreneurial drive with a hunger to build and scale. Ability to independently manage projects, deadlines, and product cycles. Preferred Qualities Experience building AI products from scratch (especially SaaS platforms). Familiarity with marketing tech, web scraping, data enrichment tools. Prior startup or product-building experience (bonus if you’ve been a founder/CTO). Understanding of business and user-driven product development. What’s in It for You? Profit-Sharing : A percentage of profits plus salary as a founding team member. ESOPs : Earn equity based on performance, commitment, and milestones. Founder's Track : You’re not just an employee—you grow with the company as a leader. Ownership & Autonomy : You’ll define the AI roadmap and lead technical vision. Impact & Innovation : Directly influence how hundreds of businesses use AI to grow.

Job Summary: As a Technical Lead for Agentic AI Workflow Development, you will be responsible for designing, developing, and implementing advanced AI-driven workflows. You will lead a team of developers and collaborate with cross-functional teams to deliver high-quality solutions that meet business needs. Job Description: - Lead the end-to-end development of Agentic AI workflows, including Autogen, Llama, and Lang graph integration. - Design and implement solutions using large language models (LLMs) such as ChatGPT, Gemini, and Llama. - Develop and maintain scalable architectures on hyperscaler platforms (Azure, AWS, Google Cloud). - Utilize Python for backend development and automation tasks. - Ensure effective database management with a strong understanding of both SQL and NoSQL databases. - Troubleshoot and resolve technical issues in a timely manner. - Oversee the orchestration of jobs, including queuing and load balancing for optimal performance. - Collaborate with stakeholders to identify and implement real-world use cases, focusing on document-related solutions and agent interactions. - Mentor and guide junior developers, fostering a culture of continuous learning and improvement. Profile Description: - Bachelors degree in computer science, Engineering, or a related field; Masters degree preferred. - Proven experience as a Technical Lead or similar role in AI/ML development. - Strong proficiency in Python and experience with relevant libraries and frameworks. - In-depth knowledge of large language models (LLMs) and their applications. - Experience with hyperscaler architectures (Azure, AWS, Google Cloud). - Solid understanding of SQL and NoSQL databases, with hands-on experience in database design and management. - Excellent troubleshooting skills and the ability to solve complex technical problems. - Demonstrated experience in developing and deploying at least three real-world use cases involving document processing, auto agents, and orchestration. - Strong communication and leadership skills, with the ability to work collaboratively in a team environment. - Familiarity with AI frameworks and tools related to workflow automation. - Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Knowledge of CI/CD practices and tools.

Hi , We are having an urgent job opportunity for Part time Open AI Developer CANDIDATES BASED OUT OF NOIDA CAN ONLY APPLY Job Title: OpenAI Developer - LLM Training Specialist Location: Remote Job Summary: We are seeking an experienced OpenAI Developer with a strong background in Supervised Learning and hands-on experience in training Large Language Models (LLMs) . The ideal candidate will play a key role in training and fine-tuning AI models , specifically to enhance the capabilities of our ChatGPT AI assistants . If you have a passion for cutting-edge AI technology and enjoy solving complex challenges, wed love to hear from you! Key Responsibilities: Design, implement, and optimize training pipelines for LLMs. Fine-tune pre-trained models like ChatGPT to align with specific use cases and business needs. Develop and curate high-quality datasets for supervised learning and model training. Perform hyperparameter tuning to enhance model performance and efficiency. Collaborate with cross-functional teams to identify requirements and align AI models with organizational goals. Test and validate trained models to ensure they meet performance and accuracy benchmarks. Monitor and troubleshoot AI models during training and deployment phases. Stay updated with advancements in AI, machine learning, and OpenAI technologies. Technical Skills: Proficiency in OpenAI APIs and frameworks like PyTorch or TensorFlow. Hands-on experience in training and fine-tuning Large Language Models (LLMs) . Expertise in Supervised Learning and dataset preparation. Preferred Qualifications: Previous experience working with ChatGPT or similar LLMs. Knowledge of Reinforcement Learning from Human Feedback (RLHF) . Familiarity with ethical considerations and best practices in AI development.

General Summary: Qualcomm IT is seeking a Lead Conversational AI Developer for Intelligent Automation Center (IAC) Responsibilities include: Experience on designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI Hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search and Azure OpenAI Extensive hands-on experience in implementing end-to-end projects utilizing Generative AI using Retrieval-Augmented Generation (RAG) or Agentic AI architecture Strong expertise in Python for building bot solutions Experience with Azure Cognitive Services (LUIS/CLU, QnA Maker/CQA, Spell Check,Speech API) for advanced NLP features. Knowledge of Power Automate, Azure Logic Apps, and APIs for extending Copilot Agent and bot functionalities. Experience in software development with a focus on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform. Ensure quality of coded components by performing thorough unit testing and develop reusable test cases Work collaboratively with test teams for supporting Product testing and UAT Report status, issues and risks to tech leads on a regular basis Improve skills in automation products through certifications Train and coach team members on Conversational AI related technologies Work independently with minimal supervision and good team management skills Excellent communication and collaboration skills Provide timely status on assignments, planned activities, issues, and dependencies Good knowledge on Conversational AI on Microsoft Stack (Copilot Studio, Azure AI Foundry, Azure AI Search, Azure OpenAI) Good understanding of Generative AI concepts and Frameworks like Langchain Hands-on programming experience on Python and any frontend technology like Angular Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelors degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.• Good understanding of conversational AI and Intelligent Automation methodologies and associated tools & technologies Knowledge of Process Mining concepts and implementation expereience using Celonis inclusing data models and dasboards Experience in business process diagrams and process flow charts with Automation Anywhere Certification in Industry Leading Robotic Automation products is a plus. Experience in identifying the right processes for Automation and providing estimates for implementations Programming concepts and coding background in Python Understanding of RDBMS concepts and writing SQL queries Expereience in Cloud (preferrably AWS) and certifications is a plus Experience in Agile development using standard tools like Jira Bachelor's degree and 5+ years IT-relevant work experience

Understanding of AI/ML concepts is essential, such as LLM’s Ability to build and integrate AI agents to optimize QA processes Jenkins, Maven, CI/CD, and Agile Transitioning from SpecFlow to ReqnRoll for coding tests. Focus on Microsoft Azure/OpenAI. Required Candidate profile 6+ years in automation testing Strong experience with Azure and AWS. Hands-on experience to build and integrate AI agents to optimize QA processes Proficiency in C#, Java, or Python.

Job Title: AI Developer Supply Chain Management Location: Permanent Remote Job Type: Full-time Team: Product AI Engineering We are looking for a talented LLM Developer to join our AI Engineering team and contribute to the development of the SCM Expert AI Agent the core brain behind AI capabilities like demand forecasting, anomaly detection, ETA prediction, and route optimization in the FarmToPlate (F2P) platform. In this role, you will focus on integrating and optimizing LLM-based agentic architectures using frameworks like LangChain, CrewAI, and RAG pipelines. Youll work closely with traditional ML developers and backend engineers to deploy intelligent, explainable, and real-time decision agents for supply chain management. Responsibilities: Design, build, and optimize LLM-based agents using LangChain, CrewAI, or custom wrappers. Implement RAG pipelines with vector stores (e.g., FAISS, ChromaDB) and embedding models. Develop LLM-powered tools for demand forecasting, query understanding, anomaly explanations, and summarization. Integrate agents with internal and external data sources using tools like MongoDB, Sklearn datasets, or Browsing Agents. Implement prompt engineering, agent memory, and context-chaining for more dynamic agent behavior. Collaborate with data science and product teams to translate SCM logic into agentic workflows. Expose models and agents through APIs using FastAPI, including role-based access if needed. Optimize runtime performance with quantization, PEFT (parameter-efficient finetuning), and model caching. Track experiments, versions, and deployment artifacts using tools like MLflow, SageMaker, or custom registries. Requirements: 3-5 years of experience working on Python-based AI systems. Strong understanding of LLMs, Transformers, Prompt Engineering, and conversational AI. Hands-on experience with LangChain, CrewAI, OpenAI/GPT APIs, or Hugging Face Transformers. Familiarity with RAG concepts, vector databases (FAISS, Chroma), and embedding techniques. Good knowledge of API frameworks (FastAPI/Flask) and working with JSON schema-driven inputs. Basic understanding of traditional ML models and workflows (e.g., regression, classification, anomaly detection). Comfortable integrating external data tools and APIs into LLM pipelines. Bonus Points For Experience building Agentic RAG systems that combine logic, tools, memory, and models. Knowledge of Open Source LLM tuning using PEFT, LoRA, bitsandbytes, Unsloth, etc. Familiarity with SageMaker, EKS, or deploying custom models to the cloud. Experience in supply chain/logistics, or working with ERP/SCM structured data. Built monitoring dashboards using Evidently.ai or similar model observability tools. Why Join Us Be part of a domain-driven AI platform blending supply chain expertise with modern agentic LLM architectures. Work on real-world use cases that impact farm-to-plate food systems at scale. Collaborate with a fast-moving, cross-functional team that values innovation, ownership, and outcome. Learn and grow in a modular, full-stack AI environment where your ideas become deployed APIs. Enjoy flexibility in remote, experimentation, and continuous learning.

Understanding of AI/ML concepts is essential, such as LLM’s Ability to build and integrate AI agents to optimize QA processes Jenkins, Maven, CI/CD, and Agile Transitioning from SpecFlow to ReqnRoll for coding tests. Focus on Microsoft Azure/OpenAI. Required Candidate profile 6+ years in automation testing Strong experience with Azure and AWS. Hands-on experience to build and integrate AI agents to optimize QA processes Proficiency in C#, Java, or Python.

Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to client's technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential What's in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications MBA from a tier 1 institute 7-10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

Responsibilities: Design and manage application module for data Integration / ETL collection/processing/storage/retrieval) using latest technologies Should be completely aware of coding standards and should be able to design & develop high performance & scalable application Ability to prototype solutions quickly and analyse and compare multiple solutions and products based on requirements. Required Skills: Broad experience in programming and implementing large distributed systems. Strong Handson experience in developing applications using Java/J2EE, with Spring boot framework knowledge and experience. Experience in core java fundamentals, Java 8+, Spring, Spring boot, Restful APIs and Soap Services. Must possess application development on microservices environment Strong hands-on with design patterns, clean code. Experience with middleware/messaging technologies such as MQ, JMS, Kafka and exposure to event-driven design patterns. Good analytical and document skills Good to have: Experience in data analytics an reports is an advantage knowledge of different industry standards like Open API and Open Telemetry Experience in design and development of integration tools like monitoring, Dashboard, reports and ITSM tools

JOB DESCRIPTION Job Title: Data Scientist Experience: 5-10 years Location: Pune, India Role Definition: Data Scientists focus on researching and developing AI algorithms and models. In this role, you will analyze data, build predictive models, and apply machine-learning techniques to solve complex problems. Key Responsibilities: Research and develop AI algorithms and predictive models. Analyze data to extract actionable insights. Build, test, and deploy machine learning and deep learning models. Manage end-to-end AI solution delivery, from data mining and cleaning to deployment. Collaborate with cross-functional teams to integrate AI solutions into business processes. Ensure effective monitoring and maintenance of data pipelines and model performance. Required Skills: Proficient: Languages/Frameworks: Fast API, Azure UI Search API (React) Databases and ETL: Cosmos DB (API for MongoDB), Data Factory, and Data Bricks Programming: Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Version Control & CI/CD: Gitlab Pipeline Deployment: Ansible and REX (Rex Deployment) Data Science: Prompt Engineering, Modern Testing, and data mining/cleaning Machine Learning: Supervised/unsupervised learning, NLP techniques, and familiarity with deep learning techniques (RNN, transformers) End-to-End Delivery: AI integration, deployment, and model deployment processes Frameworks & Operations: AI frameworks (PyTorch), MLOps frameworks, and data pipeline monitoring Expert (in addition to the proficient skills): Languages/Frameworks: Expertise in Azure Open AI Data Science: Proficiency with Open AI GPT Family of models (4o/4/3), embeddings, and vector search Databases and ETL: Experience with Azure Storage Account Machine Learning: Expertise in a broad range of machine learning algorithms (supervised, unsupervised, reinforcement learning) Deep Learning: Proficiency in deep learning frameworks (TensorFlow, PyTorch) Mathematics: Strong mathematical foundation in linear algebra, calculus, probability, and statistics Research: Solid research methodology and experimental design skills Data Analysis: Proficiency in data analysis tools (Pandas, NumPy, SQL) Statistics: Strong statistical and probabilistic modeling skills Data Visualization: Experience with tools like Matplotlib, Seaborn, or Tableau Big Data: Knowledge of big data technologies such as Spark and Hive Analytics: Experience with AI-driven analytics and decision-making systems

Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients' most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to client's technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential What's in it for you? An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions " underpinned by the world's largest delivery network " Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 569,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategys services include those provided by our Capability Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Capability Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit | At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, . Qualifications MBA from a tier 1 institute 7-10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

The AI-Gen AI Strategy Senior Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy Advisory, Capability Network I Areas of Work: Data AI Strategy I Level: Senior Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 14 to 20 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy Advisory. The Practice- A Brief Sketch: The Technology Strategy Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative RD transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design guide development of Enterprise wide AI Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current recommend AI Gen AI solutions Conduct discovery workshops and design sessions to elicit AI Gen AI opportunities client pain areas. Utilize strong expertise certification in any of the AI Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 7- 10 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data AI transformation 4+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data AI transformations Mandatory knowledge of IT Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential Whats in it for you An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everything"from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

Description: Role: Full Stack Engineer Experience: 5+ yrs Understanding and implementing strong data security and privacy measures. • General understanding of Large Language Models and related concepts(ex: prompt engineering), • Cost effective development mindset using Cloud Technologies, • Understanding of RestAPI design, • Proficiency in Python and Python RestAPI frameworks such as Flask and FastAPI, • Understanding of Azure services, such as Azure OpenAI, Azure AI Search, Azure App Service, etc. • Preferably experience in Azure Cloud. • Proficiency in front-end programming languages, technologies, and frameworks such as React, Angular, • Experience with deployment and software development lifecycle tools in T3(such as Git, Azure DevOps, Jira etc) • Willingness to acquire new technologies and new versions of existing ones, • Curiosity to understand business context, • End-to-end development approach including testing.

Job Summary Member of a software engineering team involved in development & design of AI Data Platform built on NetApps flagship storage operating ONTAP. Data is the currency of business in the digital era. NetApp is the data authority, helping customers leverage and manage their data wherever it resides in the cloud, in their data centers, or anywhere data flows. Engineers at NetApp help transform the way customers utilize their dynamic, diverse, and distributed information. They are allowing doctors to save lives with deep data analytics shared with medical experts around the world, helping automotive engineers improve autonomous vehicle navigation with artificial intelligence, enabling scientists to monitor and identify environmental hazards through deep image analysis, and providing companies the ability to expand their businesses in yet unimagined ways. By joining NetApp, you can take part in transforming how data is changing the world. ONTAP is the #1 Storage Operating System in the world, managing hundreds of Exabytes of customers information. We have more than 30,000 customers today that rely on us to be the data authority. Take part in the transformation that is changing how we work and play daily. An ideal candidate for this position will be driven to produce results, collaborative, curious and creative. He/she strives to excel in their day-to-day work and will continue to produce high quality results without anyone looking over their shoulders. They will bring broad experience across multiple domains including Big Data processing, AI/ML workflows, MLOps, Kubernetes operating systems, storage technologies and distributed systems. Job Requirements Proficiency in programming languages like GO, Python. Experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc Experience working in Linux, AWS/Azure/GCP, Kubernetes Control plane, Auto scaling, orchestration, containerization is a must. Experience with No Sql Document Databases (e.g., Mongo DB, Cassandra, Cosmos DB, Document DB) is a must. Experience working building Micro Services, REST APIs and related API frameworks. Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing. Experience with AI/ML frameworks like PyTorch or TensorFlow is a must. Storage Domain experience is a plus. Experience with Filesystems or Networking or file/cloud protocols is a plus. Proven track record of leading mid to large sized projects This position requires an individual to be creative, team-oriented, a quick learner and driven to produce results. Responsible for providing support in the development and testing activities of other engineers that involve several inter-dependencies Participate in technical discussions within the team and with other groups within Business Units associated with specified projects Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals A strong understanding and experience with concepts related to computer architecture, data structures and programming practices Education Typically requires a minimum of 12 years of related experience with a Bachelors degree or 12 years and a Masters degree; or a PhD with 10 years experience; or equivalent experience.

Join a Global Initiative: AI Ethics & Ethical Digital Transformation Are you a Data Scientist, LLM Developer, Machine Learning Engineer, or AI Researcher passionate about building ethical AI solutions ? Do you believe in the responsible development of Large Language Models (LLMs) and AI-driven digital transformation with a global impact? If so, we invite you to be part of an ambitious movement to shape AI Ethics, Governance, and Responsible Innovation . We are assembling a global team of hardcore AI programmers, ML engineers, LLM experts, researchers, and cybersecurity professionals willing to contribute their expertise to build AI solutions that prioritize ethics, fairness, and transparency . This is an opportunity to collaborate with top minds, drive meaningful change, and influence global AI policies . Who Should Apply? LLM Developers & AI Engineers Experienced in fine-tuning, deploying, and securing large-scale AI models Machine Learning & Deep Learning Experts Passionate about cutting-edge AI research and responsible AI design Data Scientists & AI Researchers – Working on AI fairness, bias mitigation, and risk assessments AI Governance & Policy Leaders – Experts in AI ethics, regulation, and compliance Cybersecurity & Privacy Experts – Advocates for AI security, data privacy, and adversarial robustness Tech Mentors & Educators – Willing to guide students, researchers, and startups in responsible AI adoption Startup Founders & Ethical Innovators – Interested in AI-driven, impact-first ventures Roles & Responsibilities AI Ethics & Governance – Contribute to ethical AI frameworks, regulatory policies, and responsible AI design LLM Optimization & Alignment – Build, fine-tune, and align LLMs for responsible AI applications Bias & Fairness Audits – Develop methodologies to detect and mitigate AI biases in real-world models Cybersecurity & AI Risk Management – Strengthen AI security against adversarial attacks and cyber threats Industry-Academia Partnerships – Facilitate research collaborations for AI ethics and compliance Student Mentorship & Training – Conduct AI workshops, research programs, and global AI challenges Thought Leadership & Research – Publish papers, case studies, and policy recommendations on AI ethics Why Join Us? Shape the Future of AI – Define responsible AI practices at a global scale Work with Global AI Leaders – Collaborate with top researchers, engineers, and policymakers Mentor the Next Generation – Empower students, researchers, and startups to build ethical AI No Corporate Bias, Pure Mission – A self-supported initiative dedicated to global AI ethics & welfare Work on Cutting-Edge AI Challenges – Address AI risks, cybersecurity threats, and ethical dilemmas Location & Commitment Remote & Global – Work from anywhere, collaborate across time zones Flexible Engagement – Contribute as per availability (mentorship, research, policy, or thought leadership) Freshers seeking assignments can also apply and encourage students and every professional who reads it, irrespective of their education background (Arts, Science, Humanity, Social Work, Media etc too to explore this opportunity) How to Apply? If you are ready to co-create the future of AI ethics & digital transformation , Express your interest by filling our questionnaire

About the Role We are seeking a highly skilled Tech Lead Azure AI with expertise in Retrieval-Augmented Generation (RAG), OpenAI, Azure AI Search, and other AI-driven technologies to spearhead the development of Generative AI (Gen AI)-powered solutions. In this role, you will **lead the design, development, and deployment** of intelligent applications leveraging **Azure AI services and Large Language Models (LLMs)** to enhance **information retrieval, processing, and decision-making** capabilities. You will work closely with cross-functional teams, ensuring seamless integration of AI technologies into business operations and applications. **Key Responsibilities** Lead the architecture, design, and implementation of AI-driven solutions using **Azure AI services, OpenAI, and RAG techniques**. - Develop and optimize **LLM-based applications**, enhancing information retrieval and natural language understanding. - Implement **Azure AI Search** for efficient data indexing and retrieval in AI-powered applications. - Build and maintain **scalable, high-performance AI models** that support business intelligence and automation. - Collaborate with **data engineers, software developers, and business stakeholders** to integrate AI solutions into existing workflows and applications. - Ensure AI models and solutions adhere to **best practices for security, scalability, and compliance**. - Stay updated on advancements in **AI, machine learning, and cloud technologies** to drive continuous innovation. - Troubleshoot and resolve **performance bottlenecks, model drift, and AI system failures**. ## **Required Skills & Experience** **8+ years** of experience in **software development, AI/ML, and cloud-based AI solutions**. - Strong expertise in **Azure AI services**, including **Azure OpenAI, Azure AI Search, Cognitive Services, and Machine Learning**. - Hands-on experience with **Retrieval-Augmented Generation (RAG), knowledge graphs, and NLP techniques**. Hands-on experience with **Qdrant and Azure AI Search**. Experience on **using and deploying Huggingface Models**. Proficiency in **Python, C#, or Java** for AI model development and deployment. - Experience with **vector databases, embeddings, and semantic search** implementations. - Familiarity with **DevOps, CI/CD pipelines, and MLOps** for AI solution deployment. - Strong problem-solving skills with the ability to **debug and optimize AI models**. - Excellent communication skills to effectively collaborate with **technical and non-technical stakeholders**. **Nice-to-Have Skills** Experience in **fine-tuning and optimizing LLMs** for enterprise applications. Knowledge of **Azure Kubernetes Service (AKS) and containerized AI deployments**. Understanding of **AI ethics, bias mitigation, and responsible AI principles**.

JOB Description: Develop and implement machine learning models using Google Vertex AI or Gemini Advance use of Natural Language Processing including the extensive use of Large Language Models Knowledge to how to integrate the AI Chatbot functionality to Go To Chat Feature Collaborate with cross functional teams to understand business requirements and translate them into scalable and efficient AI solutions. Design build and deploy machine learning models on various cloud platforms Conduct thorough testing and validation to ensure the accuracy and reliability of the models Optimize and finetune machine learning models for performance and efficiency Stay updated on the latest advancements in machine learning and AI technologies

We are looking for a highly skilled Full Stack Developer with expertise in Snowflake, AI-driven development, and modern database architectures. Required Candidate profile Experienced Data Engineer & AI Developer skilled in Snowflake, MySQL, MongoDB, vector search, embeddings, , Node.js, Python, APIs, Kubernetes, and microservices for scalable, secure systems.

We are seeking a talented and experienced Python Developer + Data Scientist with a strong background in Flask to join our dynamic team. The ideal candidate will have a passion for leveraging data to drive insights and create impactful solutions, along with proficiency in Python development, particularly with Flask. Responsibilities: Develop and maintain Python-based applications, with a focus on Flask for web development. Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. Design, implement, and maintain data pipelinesfor collecting, processing, and analysing large datasets. Perform exploratory data analysis to identify trends, patterns, and insights. Build machine learning models and algorithms to solve business problems and optimize processes. Deploy and monitor data science solutions in production environments. Conduct code reviews, testing, and debugging to ensure the quality and reliability of software applications. Stay updated with the latest trends and advancements in Python development, data science, and machine learning. Requirements: Bachelors or Master's degree in Computer Science, Data Science, or a related field. 2+ years of professional experience in Python development and data science. Strong proficiency in Python programming languagewith Flask framework and familiarity with relational databases (e.g., MySQL). Proficiency in handling and manipulating various types of data, including structured and unstructured data, using Python libraries such as Pandas, NumPy, and Beautiful Soup. Apply machine-learning techniques to analyse and extract insights from large text datasets, including social media data, customer feedback, and user interactions, to inform business decisions and strategy. Knowledge of machine learning techniques and libraries (e.g., scikit-learn, TensorFlow). Familiarity with creating and managing projects involving language models such as OpenAI's GPT (Generative Pre-trained Transformer) series, including ChatGPT and other prompt engineering tasks. Use models for LLMs and related tasks to enhance Chabots, virtual assistants, and other conversational AI applications, improving natural language understanding, conversation flow, and response generation. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities

1+ years of experience in full-stack development, particularly with Node.js and Python, Proficiency in front-end technologies (such as React, Angular, or similar) and back-end development. Familiarity with RESTful APIs is a plus