472 Genai Jobs - Page 7

Job Title: Gen AI Developer (Azure + ML) Location: Gurugram (Work from Office / Hybrid as applicable) Experience: 5+ Years Employment Type: Full-time Job Overview: We are looking for a Generative AI Developer with strong hands-on experience in Microsoft Azure and Machine Learning to join our team in Gurugram . The ideal candidate should be proficient in building and deploying GenAI-powered applications using Azure OpenAI , along with solid experience in traditional ML pipelines . Key Responsibilities: Design and develop scalable Gen AI solutions using Azure OpenAI , Cognitive Services, and Azure ML. Build and deploy ML models for tasks like classification, regression, and recommendation. Implement RAG (Retrieval-Augmented Generation) architectures using vector databases (e.g., ChromaDB, FAISS, Azure Search). Orchestrate LLM workflows using tools like LangChain , Transformers , or LlamaIndex . Develop APIs/microservices to expose GenAI and ML capabilities for downstream integration. Collaborate with cross-functional teams including data engineers and product managers to deploy solutions in production. Ensure scalability, cost-efficiency, and security of AI/ML workloads on Azure. Must-Have Skills: Strong experience with Azure OpenAI , Azure Cognitive Services , and Azure Machine Learning Studio . Proficiency in Python , Transformers , and ML frameworks (scikit-learn, PyTorch, or TensorFlow). Experience with LangChain , embedding models , and vector search technologies. Understanding of ML lifecycle: data processing, feature engineering, model training, evaluation, and deployment. Experience building RESTful APIs for model consumption. Familiarity with version control , DevOps practices , and containerization (Docker). Nice to Have: Knowledge of prompt engineering , fine-tuning LLMs , or custom training . Exposure to MLOps tools like MLflow or DVC. Experience with Power BI , Azure Synapse , or Databricks is a plus. Prior experience working in domains like finance, retail, or legal tech. Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate (AI-102) Microsoft Certified: Azure Data Scientist Associate (DP-100)

Job Title: Gen AI Developer (Senior Associate) Location: Bangalore/Hyderabad/Gurugram Department: Data & Advanced Analytics Job Summary: We are looking for a skilled and innovative Generative AI Developer to design, develop, and deploy AI-powered applications. The ideal candidate will have expertise in working with large language models (LLMs), Generative AI technologies, and software development, with a focus on creating impactful solutions for real-world problems. Key Responsibilities: Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance Qualifications: Bachelors Degree (preferred CS/IT) in advanced analytics or ML or Master's in Machine Learning, Statistics, Econometrics, or a related field 4-8 years of professional experience in Data Science or AI/ML application development. Hands-on experience with Generative AI models and frameworks Stay updated on industry trends, emerging technologies and best practices in Gen AI & Data Science Must-Have Skills: Proficiency in Python for application development Experience working with Generative AI frameworks and libraries (e.g., Hugging Face, OpenAI API, LangChain) Strong knowledge of LLMs and fine-tuning techniques Experience with RAG (Retrieval-Augmented Generation) techniques & Agentic workflow Hands-on experience with Python web frameworks like Flask, FastAPI, or Django Familiarity with cloud platforms (Azure, AWS, or GCP) for deployment and scaling Frontend development skills (HTML, JavaScript, React) Strong problem-solving and debugging skills Experience with version control systems such as Git/Bitbucket Understanding of MLOps frameworks for model lifecycle management Exposure to DevOps culture with hands on experience in Jenkins for CI/CD would be added advantage. Knowledge on containerization utilizing Dockers and Kubernetes will be added advantage

Dear Candidates, Please find the below JD, Location : Whitefield, Bangalore Contact : Ramya 9019493984 Requirement Minimum 8+ years of experience designing, building, and operating cloud-native applications at scale. Expertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks and tools. • Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation. Experience in designing and implementing highly available, scalable, and fault-tolerant systems. Development Lifecycle: End-to-end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end-to-end testing), deployment, and ongoing operations. Technical Skills: Mastery of essential software development principles with a focus on clean code, design patterns, and best practices. In-depth expertise in at least two of the following programming languages: Python, Java, JavaScript, Golang, or C++. Solid understanding of distributed systems concepts and experience with distributed tracing tools. AI/ML Experience: Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (TensorFlow, PyTorch), and tools is a plus Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus Thank you, Ramya

Inviting for in-person discussion on 19th July at Bangalore Required: Gen AI developer with Python & LLM Exp: 6 to 18 years In-Person discussion is mandatory at Bangalore Office Interested, share below details with your updated Resume Total IT Exp: Exp in Gen AI: Exp in Python & LLM: CCTC & ECTC: Notice Period /LWD: Available for in-person discussion on 19th : yes /No

Job Description Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability in order to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower level architects and business analysts Qualifications 8+ years of experience in engineering roles with team management experience 5-7 relevant years experience on NLP, Machine Learning and Deep learning 5-7 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Knowledge of LLMs, fine tuning and deployment Experience annotated datasets for Supervised Learning methods and correction Experience on text to transform natural language into useful features Find and implement the right algorithms and tools for NLP tasks Perform statistical analysis of results and refine models Extend ML libraries and frameworks to apply in NLP tasks Experience on ORM, SQL Alchemy, Alembic is a must Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework A deep understanding and multi-process architecture and the threading limitations of Python. Familiarity with server-side templating languages including Jinja 2 and Mako is good to have Experience on REST API, Flask API, Fast API is must, Django or Pyramid framework is good to have Knowledge of NER, Knowledge graphs is good to have Education Qualification Master's Degree Masters Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

AI Developer Experience -4 -6 Years Role Overview: We are seeking a talented Senior Software Engineer with a strong emphasis on Generative AI to drive the development of cutting-edge applications. This position is perfect for a candidate passionate about advancing the capabilities of AI to generate new content, ideas, and solutions. You'll be at the forefront of creating and implementing algorithms that empower our systems to learn from data and produce novel outcomes in various formats, including text, images, and more Key Responsibilities: Develop and maintain software applications using Java or Python, incorporating Generative AI models to create innovative features and solutions. Work with diverse data types and formats to perform data handling and pre-processing tasks, including feature extraction and data preparation for use in Generative AI models. Collaborate with cross-functional teams to integrate Generative AI capabilities into software projects, ensuring seamless functionality and user experience. Apply software engineering best practices, including version control (e.g., Git), testing methodologies, modularity, and documentation, to maintain high-quality code and project documentation. Stay informed about the latest developments in Generative AI and actively seek to apply new techniques and models to enhance project outcomes. Understand and adhere to ethical considerations in AI development, ensuring that projects align with ethical standards and societal values. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field, with a solid foundation in programming, data structures, algorithms, and OOP. 2-4 years of experience in software development, with proficiency in Java or Python. Experience or strong interest in working with Generative AI models and understanding their integration into software applications. Familiarity with data handling and pre-processing techniques for various data types and formats. Knowledge of software engineering fundamentals, including version control systems, testing, modularity, and documentation. An innovative mindset with a willingness to explore new technologies and approaches in the field of Generative AI. Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment.

AI Developer Experience - 3-5 Role Overview: We are seeking a talented Senior Software Engineer with a strong emphasis on Generative AI to drive the development of cutting-edge applications. This position is perfect for a candidate passionate about advancing the capabilities of AI to generate new content, ideas, and solutions. You'll be at the forefront of creating and implementing algorithms that empower our systems to learn from data and produce novel outcomes in various formats, including text, images, and more Key Responsibilities: Develop and maintain software applications using Java or Python, incorporating Generative AI models to create innovative features and solutions. Work with diverse data types and formats to perform data handling and pre-processing tasks, including feature extraction and data preparation for use in Generative AI models. Collaborate with cross-functional teams to integrate Generative AI capabilities into software projects, ensuring seamless functionality and user experience. Apply software engineering best practices, including version control (e.g., Git), testing methodologies, modularity, and documentation, to maintain high-quality code and project documentation. Stay informed about the latest developments in Generative AI and actively seek to apply new techniques and models to enhance project outcomes. Understand and adhere to ethical considerations in AI development, ensuring that projects align with ethical standards and societal values. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field, with a solid foundation in programming, data structures, algorithms, and OOP. 2-4 years of experience in software development, with proficiency in Java or Python. Experience or strong interest in working with Generative AI models and understanding their integration into software applications. Familiarity with data handling and pre-processing techniques for various data types and formats. Knowledge of software engineering fundamentals, including version control systems, testing, modularity, and documentation. An innovative mindset with a willingness to explore new technologies and approaches in the field of Generative AI. Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment.

About Us: At Calfus, we are recognized for our expertise in delivering cutting-edge AI agents and products that revolutionize businesses in unprecedented ways. We empower companies to fully leverage the potential of AI, enabling them to unlock opportunities that were previously unattainable before the AI era. Our software engineering teams are highly esteemed by customers, ranging from start-ups to established enterprises, due to our consistent delivery of solutions that fuel revenue growth. Our ERP solution teams have effectively implemented cloud solutions and developed tools that seamlessly integrate with ERP systems, thereby reducing manual work and allowing teams to concentrate on high-impact tasks. This remarkable progress is made possible by talents like you! Our global teams thrive on collaboration, and we are actively seeking skilled professionals to enhance our in-house expertise and assist us in providing exceptional AI, software engineering, and solutions using enterprise applications. As one of the fastest-growing companies in our industry, we take pride in nurturing a culture of innovation where new ideas are always embraced without hesitation. We are driven and anticipate the same level of commitment from our team members. Our speed, agility, and dedication distinguish us, and we excel when surrounded by high-energy, motivated individuals. To sustain our rapid expansion and make an even greater impact, we invite you to consider applying for our open positions and joining us on our journey! About the Role: We are seeking a Senior Full-Stack Engineer with substantial experience in Python-based development and a genuine passion for constructing scalable, cloud-native applications. In this role, you will be involved in various aspects of the stack, from designing backend services in Python to creating responsive front-ends, while also exploring opportunities to integrate Generative AI (GenAI) technologies. Whether you possess prior experience with GenAI or are eager to delve into it, this role presents an exciting opportunity to contribute to cutting-edge products and solutions. What You'll Do: - Full-Stack Development: Design, construct, and sustain robust, scalable web applications utilizing Python (Flask, Django, FastAPI) for the backend and modern frontend frameworks like React, Angular, or Vue.js. - GenAI Exploration & Integration: Collaborate with AI teams to integrate or explore LLMs and generative AI capabilities (e.g., GPT-4, transformers, RAG pipelines) into products. Prior experience is valued; openness to learning is essential. - Architect Scalable Systems: Contribute to architectural decisions to ensure systems are secure, maintainable, and cloud-native. - Cloud Engineering: Deploy, monitor, and optimize applications using AWS, GCP, or Azure, with a focus on performance and reliability. - Collaboration & Mentorship: Engage closely with product managers, designers, and fellow engineers. Mentor junior developers and support peer growth. - Agile Practices: Participate in code reviews, uphold high-quality code standards, and contribute to continuous improvement. - Innovate & Learn: Stay abreast of emerging trends in full-stack development, cloud services, and AI technologies, introducing fresh ideas to the team. On your first day, we'll expect you to have: - Education: Bachelor's or Master's in Computer Science, Engineering, or a related field. - Experience: 5-8 years of hands-on experience in full-stack software development, with a strong backend expertise in Python. - Tech Stack Proficiency: - Backend: Python with Django, Flask, or FastAPI - Frontend: React, Angular, or Vue.js - Cloud: AWS, GCP, or Azure (deployment, monitoring, optimization) - AI Exposure: Experience or interest in LLMs, transformers, or GenAI tools (e.g., OpenAI APIs). Willingness to learn and apply AI concepts in production systems. - Strong Engineering Practices: Clean code, CI/CD, unit testing, version control (Git), and agile development. - Team Player: Comfortable collaborating in cross-functional teams and mentoring junior engineers. - Bonus: Previous experience in building or integrating GenAI models or collaborating with AI/ML teams. If you are a proficient full-stack Python developer who is enthusiastic about the future of Generative AI, even if you are still in the learning phase, this role is tailored for you. Benefits: At Calfus, we highly value our employees and provide a comprehensive benefits package. This includes medical, group, and parental insurance, along with gratuity and provident fund options. Additionally, we prioritize employee wellness and offer birthday leave as a valued benefit. Calfus is an Equal Opportunity Employer. We strongly believe that diversity fosters innovation. We are dedicated to establishing an inclusive workplace where everyone, regardless of background, identity, or experience, has the opportunity to thrive. We welcome all applicants!,

You should have at least 8 years of experience in AI and machine learning, with a specific emphasis on solution architecture. It is essential to possess hands-on experience in successfully deploying at least one complete GenAI project. Your expertise should include a proven track record with Azure OpenAI LLMs and their implementation in enterprise settings. Additionally, you should have practical experience with Retrieval-Augmented Generation (RAG) systems. Your proficiency with Azure cloud services and architecture is crucial for this role. Strong programming skills in Python and familiarity with various AI development tools and libraries are necessary. You should also have knowledge of AI model training, fine-tuning, and deployment processes. The ideal candidate will demonstrate excellent problem-solving and analytical capabilities. Strong leadership skills and project management abilities are key requirements for this position. Effective communication and interpersonal skills are also essential to succeed in this role.,

We are hiring for TOP MNC for Head of Sales-Data Processing. Maintain an in-depth knowledge of the North American markets and adapt pricing models accordingly. Location - Bangalore Experience - 15 - 18 Years Salary- Max 26 LPA + Variables Notice Period - Immediate - 30 Days max. Shift - US Night Shift Please Note- Need to be flexible work from office all 5 Days. Qualification- Graduate and postgraduate. Skills Required Role Overview: We are seeking a seasoned Head of Sales Data Processing to lead our sales initiatives in the Data Management department. The ideal candidate will bring a robust background with 15-18 years of sales experience in the international BPO domain, focusing on non-voice projects. This role requires a deep understanding of the North American market, pricing models, and significant experience in managing large-scale deals through inside and enterprise sales. The successful candidate will have led a sales team of 6+ members across various domains such as Data Management, Data Processing, Data Analytics, and Research Services for at least four years. Familiarity with GenAI and automation in data processing is crucial. Key Responsibilities: Lead and expand the sales team to achieve targets with annual goals exceeding $3M. Strategically manage enterprise and inside sales to handle large deal sizes globally. Maintain an in-depth knowledge of the North American markets and adapt pricing models accordingly. Oversee a team across multiple domains, ensuring effective collaboration and achievement of business goals. Utilize expertise in GenAI and automation to drive innovation and efficiency in sales processes. Operationally manage business segments with annual turnovers exceeding $6M. Interested candidates please share resume on below details Share CV on: Amzad@inspirationmanpower.co.in Call to: Amzad Ali - 9900024952

Position -- Permanent Role Program Manager Experience – 15+ Years Location – Chennai/Bangalore Work Mode – Hybrid Shift Timing – Afternoon (2pm – 10pm) About the Role We are seeking a seasoned Program Manager to lead complex, cross-functional initiatives as part of a multi-year customer transformation journey. The ideal candidate will bring deep expertise in program governance, stakeholder engagement, and enterprise-level execution. This role demands strong leadership, exceptional communication skills, and a proven track record of delivering large-scale programs aligned with business goals. Key Responsibilities Lead and oversee large-scale testing programs across multiple teams/products. Define program scope, goals, and deliverables in collaboration with senior leadership and stakeholders. Establish and maintain governance frameworks, risk management protocols, and performance metrics. Participate and contribute to forums, as required, to drive testing transformation and innovation. Drive cross-functional collaboration and ensure timely delivery of program milestones. Manage budgets, resources, and vendor relationships to optimize program outcomes. Provide executive-level reporting and insights to support decision-making. Required Qualifications 15+ years of experience in program/project management, with at least 6 years in leadership roles. Proven experience managing enterprise-wide programs with high complexity and impact. Strong understanding of program management methodologies (Agile, Waterfall, Hybrid). Excellent stakeholder management and communication skills. Proficiency in tools like MS Project, JIRA, Confluence, and other PM platforms. PMP, PgMP, or equivalent certification preferred. Preferred Attributes Experience in sectors such as IT, consulting, finance. Ability to navigate ambiguity and drive clarity in fast-paced environments. Strategic thinker with a hands-on approach to execution. Strong analytical and problem-solving skills. Pay range and compensation package Competitive salary based on experience and qualifications. Equal Opportunity Statement We are an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We encourage applications from all qualified individuals regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law. Qualifications Bachelor’s degree in computer science, Information Systems, Business Administration, or a related field.

Hello Everyone, Optum is hiring AI ML Data Scientists at Hyderabad Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Python, NLP, LLMs, APIs Experience: 7 - 11 yrs Notice Period: Immediate to 45 days Location: Hyderabad Primary Responsibilities: Lead the technology as a senior member of the software engineer team, as part of an Agile scrum team assigned to work on the project Designs, codes, tests, debug, and documents software, and enhance existing components to ensure that software meets business needs Contribute to the design and architecture to enable secure, scalable, and maintainable software and should be able to clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership Provide hands-on leadership, coaching, mentoring, and software engineering best practices to junior software engineers Develop reusable patterns and encourage innovation that will enable team velocity Collaborate on the design with other team members and product owners, both inside and outside the scrum team Estimate engineering work effort for engineering team and effectively identify and prioritize the high impact tasks Conduct design and code reviews to ensure code developed meets coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines Drive a quality mindset within the team Required Qualifications: Graduate degree or equivalent experience 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks 3+ years of experience applying NLP (transformers, GPT, etc.) in a production setting using large amounts of data 2+ years of experience applying LLMs (RAG, vector DB, embeddings) to solve real world problems Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses Experience building APIs for the models Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid analytical, quantitative, problem-solving, and critical thinking skills Interested can share their updated CV at arshad_mohammad@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum arshad_mohammad@optum.com

Were Hiring! AI/ML Intern. Are you passionate about artificial intelligence and looking to kickstart your career in machine learning? Join EICE as an AI/ML Intern and get hands-on experience working on real-world challenges in machine learning, generative AI, and advanced domains like LLMs, GenAI, and retrieval-augmented generation (RAG/REAG). What youll work on: 1. Intelligent system development 2. Generative AI & data-driven solutions 3. Data preprocessing, model development & deployment 4. Cutting-edge projects using advanced AI technologies Internship Mode : onsite

Expected Back End Agentic AI Candidate Profile: Leetcoder on Python i.e highly hands-on person Expert in one of the Web Frameworks of Python. Knowledge of GRPC is plus. Have been into GenAI space atleast for 2 years. Expertise in System design Handson in GenAI Agentic platform development Understands inside out of Langchain/Langraph kind of framework Good at Azure cloud deployment architecture Event /Streaming driven architectural handons Plus> MCP, A2A protocols handson

Job Title: Data Engineer Location: Pune Experience: Fresher 5 years Employment Type: Full-Time About the Role: We are looking for talented Data Engineers to join our expanding team. You will be responsible for integrating, managing, and optimizing data systems thus contributing to innovative and challenging projects. This is a great opportunity to enhance your technical skills and become a part of a successful team. Key Responsibilities: Develop, customize, and manage data integration tools, databases (MySQL), and data warehouses using Python, Java, and other relevant technologies. Write and execute complex queries and automation scripts for processing operational data. Collaborate with the testing team to assess the reliability and performance of systems. Deploy data models into production, manage computing resources, and implement monitoring tools. Create tools for data visualization, reporting, and support for data analysis. Monitor and optimize data pipeline performance and stability, ensuring alignment with evolving data models. Work with senior engineers to implement improvements and process enhancements. Stay updated on data engineering best practices, focusing on automation and efficiency. Assist in the development of Machine Learning models by providing clean and structured data pipelines. Mentor and collaborate with peers, contributing to a learning-focused work environment. Technology Stack & Required Skills: Strong understanding of ETL processes, experience with tools like Airflow. Hands-on experience with Python, Java and relational databases (e.g., MySQL) and NoSQL databases (e.g., Cassandra, MongoDB). Knowledge of cloud platforms such as AWS or Azure, with experience in tools like Azure Data Factory or AWS Snowflake. Basic understanding of Machine Learning concepts and experience supporting ML models (optional but preferred). Experience with Big Data tools such as Spark and streaming tools like Kafka is a plus. Familiarity with data visualization tools like PowerBI or Tableau. Strong ability to handle large data volumes efficiently. Knowledge of GenAI LLM models. Qualifications: BE/ME/MCA in Computer Engineering or related field. Fresher-5 years of experience in Data Engineering roles. Prior experience working in Agile teams and contributing to complex projects.

Job Position Title: Senior Associate_ APA Developer_Agentic Automation_Advisory_Bangalore Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. Ensure scalability, security, and performance of deployed automation solutions in production environments. Experience: 4+ years of hands-on experience in AI/ML, generative AI, or automation development. Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). Technical Skills: Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. Soft Skills: Exceptional communication skills to articulate technical concepts to non-technical stakeholders. Strong problem-solving and analytical skills to address complex automation challenges. Ability to work collaboratively in a fast-paced, client-facing environment. Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. Contributions to open-source AI/automation projects or publications in relevant domains. Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer). Mandatory skill sets: Agentic, LLM, RAG, AIML, LangGchain Preferred skill sets: Agentic, LLM, RAG, AIML, LangGchain, Gen AI Years of experience required: 4-7 Years

Should have 5+ years of experience in GenAI.Hands-on experience building process flows or automations with tools such as n8n, Zapier, Power Automate, or Airflow.Exposure to LLM agent frameworks such as LangChain, CrewAI, AutoGen, or Semantic Kernel.

Role Overview: We are seeking a talented Senior Software Engineer with a strong emphasis on Generative AI to drive the development of cutting-edge applications. This position is perfect for a candidate passionate about advancing the capabilities of AI to generate new content, ideas, and solutions. You'll be at the forefront of creating and implementing algorithms that empower our systems to learn from data and produce novel outcomes in various formats, including text, images, and more Key Responsibilities: Develop and maintain software applications using Java or Python, incorporating Generative AI models to create innovative features and solutions. Work with diverse data types and formats to perform data handling and pre-processing tasks, including feature extraction and data preparation for use in Generative AI models. Collaborate with cross-functional teams to integrate Generative AI capabilities into software projects, ensuring seamless functionality and user experience. Apply software engineering best practices, including version control (e.g., Git), testing methodologies, modularity, and documentation, to maintain high-quality code and project documentation. Stay informed about the latest developments in Generative AI and actively seek to apply new techniques and models to enhance project outcomes. Understand and adhere to ethical considerations in AI development, ensuring that projects align with ethical standards and societal values. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field, with a solid foundation in programming, data structures, algorithms, and OOP. 3-6 years of experience in software development, with proficiency in Java or Python. Experience or strong interest in working with Generative AI models and understanding their integration into software applications. Familiarity with data handling and pre-processing techniques for various data types and formats. Knowledge of software engineering fundamentals, including version control systems, testing, modularity, and documentation. An innovative mindset with a willingness to explore new technologies and approaches in the field of Generative AI. Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a team environment.

About The Company: Accenture is a global professional services company that helps organizations optimize operations, drive revenue growth, and enhance services. With 774,000 employees across more than 120 countries, the company leads in digital transformation, combining expertise in technology, cloud, data, AI, and industry knowledge. Its services cover Strategy & Consulting, Technology, Operations, etc. Accenture focuses on creating 360 value for clients, partners, and communities. The Role: As an AI/ML Expert specializing in Computer Vision you will design, develop, and deploy AI-powered visual systems that can interpret images and video for various use cases such as object detection, facial recognition, image segmentation, anomaly detection, and more. Key Responsibilities: Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-premises application pipeline with production ready quality. Develop new algorithms, enhance existing models, and explore novel applications of AI to address complex challenges faced by our clients. Work in emerging research tracks on Agentic AI autonomous, goal driven intelligent systems that can reason, plan, and adapt using AI Be able to apply GenAI models as part of the solution. Work in the areas of limited to deep learning, neural networks, chatbots, image processing. Building novel solutions to the challenging problem faced by industry Collaboration with Responsible AI, Delivery leads, and Academia Real world applications: digital assistants, healthcare agents, enterprise automation Leading research and publishing in top tier conferences Mentoring and building the next wave of AI talent Skills Required: Computer Vision is a Must Machine learning or NLP or Gen Ai or LLM Qualifications & Experience: Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs Exp-12 to 20 years

As a Lead Backend Engineer at Team Geek Solutions, you will be part of an innovative team that leverages cutting-edge technology to solve real-world problems using scalable backend systems and advanced AI solutions. Our collaborative and forward-thinking culture empowers every engineer to make a significant impact by building impactful products that push the boundaries of today's AI capabilities. Your primary responsibility will be to lead and mentor a team of backend and AI engineers while architecting and developing robust backend solutions using Java and Python. You will leverage your deep understanding of GenAI and Large Language Models (LLMs) to solve complex problems using structured and unstructured data. Additionally, you will apply state-of-the-art LLMs such as OpenAI and HuggingFace models to build solutions using LangChain, Transformer models, and PyTorch. In this role, you will implement advanced techniques like Retrieval-Augmented Generation (RAG) to enhance the performance and capabilities of LLM-based systems. You will also take ownership of developing end-to-end ML pipelines, including training, fine-tuning, evaluation, deployment, and monitoring (MLOps). Collaborating with business and product teams, you will identify use cases and deliver AI-powered solutions that drive innovation and impact. To excel in this role, you should have proficiency in Java and Python, a solid understanding of Data Structures & Algorithms, and hands-on experience with Transformer-based models, LLM fine-tuning, and deployment. Strong database skills with SQL are essential, along with experience in deploying and managing ML models in production environments. Leadership experience in managing small to mid-sized engineering teams is a must-have skill. Preferred or good-to-have skills include experience with LLMOps tools and techniques, exposure to cloud platforms (AWS/GCP/Azure) for model deployment, and strong written and verbal communication skills for technical and non-technical audiences. A passion for innovation and building AI-first products will drive your success in this role. Join Team Geek Solutions if you are ready to lead with purpose and innovate with passion.,

About Improzo At Improzo, we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders, and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We're looking for a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You'll optimize Pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE). Key Responsibilities Data Exploration & Problem Framing: Proactively engage with client/business stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, Medical Affairs, Patient Advocacy teams) to deeply understand their challenges and strategic objectives. Explore, clean, and prepare large, complex, and sometimes messy datasets from various sources, including but not limited to: sales data, prescription data, claims data, Electronic Health Records (EHRs), patient support program data, CRM data, and real-world evidence (RWE) datasets. Translate ambiguous business problems into well-defined data science questions and develop appropriate analytical frameworks. Advanced Analytics & Model Development: Design, develop, validate, and deploy robust statistical models and machine learning algorithms (e.g., predictive models, classification, clustering, time series analysis, causal inference, natural language processing). Analyze promotional effectiveness and patient persistency/adherence. Build models for patient journey mapping, patient segmentation for personalized interventions, treatment adherence prediction, disease progression modeling, and identifying drivers of patient outcomes from RWE. Contribute to understanding patient behavior, unmet needs, and the impact of interventions on patient health. Generative AI & LLM Solutions: Extract insights from unstructured text data (e.g., clinical notes, scientific literature, sales call transcripts, patient forum discussions). Summarize complex medical or commercial documents. Automate content generation for internal use (e.g., draft reports, competitive intelligence summaries). Enhance data augmentation or synthetic data generation for model training. Develop intelligent search or Q&A systems for commercial or medical inquiries. Apply techniques like prompt engineering, fine-tuning of LLMs, and retrieval-augmented generation (RAG). Insight Generation & Storytelling: Transform complex analytical findings into clear, concise, and compelling narratives and actionable recommendations for both technical and non-technical audiences. Create impactful data visualizations, dashboards, and presentations using tools like Tableau, Power BI, or Python/R/Alteryx visualization libraries. Collaboration & Project Lifecycle Management: Collaborate effectively with cross-functional teams including product managers, data engineers, software developers, and other data scientists. Support the entire data science lifecycle, from conceptualization and data acquisition to model development, deployment (MLOps), and ongoing monitoring in production environments. Qualifications Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Bioinformatics, Epidemiology, or a related quantitative field. 4+ years progressive experience as a Data Scientist, with demonstrated success in applying advanced analytics to solve business problems, preferably within the healthcare, pharmaceutical, or life sciences industry using pharma dataset extensively (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Must-have: Solid understanding of pharmaceutical commercial operations (e.g., sales force effectiveness, marketing, market access, CRM). Must-have: Experience working with real-world patient data (e.g., claims, EHR, pharmacy data, patient registries) and understanding of patient journeys. Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R for data manipulation, statistical analysis, and machine learning. Expertise in SQL for data extraction, manipulation, and analysis from relational databases. Experience with machine learning frameworks and libraries. Proficiency in data visualization tools (e.g., Tableau, Power BI) and/or visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a significant advantage. Specific experience with Natural Language Processing (NLP) techniques, Generative AI models (e.g., Transformers, diffusion models), Large Language Models (LLMs), and prompt engineering is highly desirable. Experience with fine-tuning LLMs, working with models from Hugging Face, or utilizing major LLM APIs (e.g., OpenAI, Anthropic, Google). Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry. Collaborative and supportive work environment. Opportunities for professional development and growth.,

Job description Why CDM Smith? Join a team of innovators dedicated to driving data science and AI to new heights. Opportunity to work on impactful projects that shape the future of CDM Smith and the industries we serve. Competitive compensation and benefits package, with opportunities for professional development and growth. About CDM Smith: CDM Smith is dedicated to innovating and driving digital transformation through advanced AI and data science solutions. Our goal is to develop state-of-the-art, industry-leading AI tools that enhance and transform business processes. As a member of our data science team, you will work alongside skilled professionals who are committed to pioneering transformative technologies. Position Summary: We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing our generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics, that align with CDM Smiths business goals. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing : Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise : Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization : Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration : Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Required Qualifications: Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open A I with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders effectively. Preferred Qualifications Additional Skills: Experience with Azure Custom Vision and related AI tools. Exposure to prompt engineering and document content optimization techniques. Familiarity with data architecture and optimization practices for AI scalability. Soft Skills: Ability to establish and build relationships across departments. Strong organizational skills and attention to detail. Ability to adapt quickly in a dynamic, fast-paced environment.

About Position: We are conducting an in-person hiring drive for the position of GenAI Engineer in Pune & Bengaluru on 19th July 2025. Interview Location is mentioned below: Pune: Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057 Bangalore: Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024 The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: GenAI Engineer Job Location: All PSL Locations Experience: 4 Years-12 Years Job Type: Full Time Employment What You'll Do: Develop and fine-tune LLMs for real-world use cases Build and optimize RAG pipelines using Langchain or similar tools Integrate GenAI capabilities into enterprise applications Hands on Python coding exp Work with vector databases and embedding techniques Collaborate with cross-functional teams on AI-driven features Were looking for a skilled engineer with hands-on experience in LLMs, LangChain, and chatbot development. Expertise You'll Bring: 4+ years of experience working with data science. Strong Python skills and familiarity with TensorFlow, PyTorch, and scikit-learn are essential Basic understanding of Flask, Django, or FastAPI is a plus. Strong analytical, problem-solving, and troubleshooting skills. Ability to work independently and in a collaborative team environment. Cloud deployment knowledge on AWS, Azure, or GCP is a must. Youll work on real-world GenAI applications in a collaborative, fast-paced environment. Stay updated with the latest in GenAI and contribute to innovative solutions. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’' best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Role & responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Education: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence. Programming proficiency: Expert-level skills in Python experience in machine learning and deep learning frameworks (PyTorch, TensorFlow). Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. . Proficiency in retrieval-augmented generation (RAG) setups, vector databases,Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices.

Role & responsibilities Design, build, and deploy AI/GenAI-based applications that serve Digital Twin use cases, using Angular, Node.js, and TypeScript. Work hands-on with LLMs and GenAI APIs (e.g., OpenAI, Anthropic, Azure OpenAI) to implement features like smart assistants, summarization, chat interfaces, decision support, and insight extraction. Develop and iterate on prompt engineering strategies, including prompt chaining, dynamic context building, function calling, and few-shot/zero-shot setups. Own the full GenAI lifecycle: data preparation, API integration, system design, prompt tuning, validation, testing, deployment, and monitoring. Optimize AI responses for accuracy, reliability, latency, cost, and relevance. Collaborate closely with product managers, QA engineers, and AI researchers to translate business problems into AI solutions that feel natural and useful. Write clean, testable, modular, and maintainable code, integrating GenAI services with your UI and backend layers. Build guardrails and fallback mechanisms to ensure responsible and safe AI output in production. Take ownership of code quality and maintainability; contribute to internal standards and reviews. Demonstrate a never-give-up mindset, a delivery-first attitude, and a commitment to continuous learning in the evolving GenAI landscape. Write clean, modular, well-tested code using Angular, Node.js, and TypeScript. Perform unit testing, code reviews, and continuous integration/deployment practices. Troubleshoot, debug, and optimize existing applications for performance and scalability. Preferred candidate profile 5+ years of software development experience, with strong hands-on skills in Angular, Node.js, and TypeScript. 3+ years working directly with LLMs and GenAI platforms, building and deploying production-grade features. Proven expertise in prompt engineering and understanding of LLM behaviours (hallucinations, context length, token usage, determinism). Experience with GenAI workflows, including RAG (Retrieval-Augmented Generation), tool/function calling, embeddings, and system prompts. Ability to debug, test, and evaluate AI outputs for correctness, bias, and performance. Strong understanding of software development principles, clean architecture, and modular design. Familiarity with RESTful APIs, microservices architecture, and cloud environments (e.g., AWS, Azure, GCP