462 Genai Jobs - Page 7

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

Roles and Responsibilities Design, develop, and maintain large-scale data pipelines using GENAI platform on AWS cloud. Collaborate with cross-functional teams to gather requirements and deliver high-quality ETL solutions. Develop complex SQL queries to extract insights from structured and unstructured data sources. Ensure seamless integration of AI models into existing systems through effective communication with stakeholders. Troubleshoot issues related to data quality, performance, and scalability in real-time. Desired Candidate Profile 5-10 years of experience in Data Engineering with expertise in AI knowledge (preferably). Bachelor's degree in BCA or B.Sc (Any Specialization) required; Master's degree preferred. Strong proficiency in working with ETL tools such as GENAI platform on AWS cloud. Excellent understanding of SQL programming language for querying large datasets.

As a top-tier AI Consulting Leader, you will leverage your deep understanding of AI technologies to engage with C-suite executives and drive strategic AI-led transformations. You will play a pivotal role in bridging the gap between cutting-edge AI advancements and real-world business impact, assisting enterprise customers in unlocking value from AI. Your key responsibilities will include serving as a trusted advisor to CXOs, guiding them through AI-driven business transformation initiatives. You will lead high-impact AI strategy discussions, aligning AI adoption with business objectives and influencing AI investments by articulating ROI, relevant use cases, and long-term benefits. Staying at the forefront of Generative AI, Agentic AI, Machine Learning (ML), and emerging AI trends will be crucial. You will shape AI roadmaps for customers by defining scalable and responsible AI adoption strategies. Additionally, you will represent the organization in industry forums, analyst discussions, and executive briefings. Collaborating closely with internal teams, you will design and propose AI-powered solutions. Your role will involve identifying and defining high-value AI use cases across various industries, with a focus on Retail, Consumer Packaged Goods (CPG), Manufacturing, Banking, Financial Services, and Insurance (BFSI), and Healthcare sectors. Ensuring that AI solutions are practical, scalable, and aligned with customer objectives will be imperative. Driving AI-led consulting engagements and pre-sales initiatives will contribute to business and revenue growth. You will partner with Sales, Delivery, and Product teams to develop distinctive AI offerings and support AI business development and go-to-market strategies. Engaging with AI engineers, data scientists, and business leaders will be essential to co-create impactful AI-driven solutions. You will ensure that AI governance, ethics, and compliance are integrated into all discussions and collaborate with hyperscalers, technology partners, and ecosystem players to accelerate AI adoption. To excel in this role, you should possess 10-15 years of experience in AI, consulting, or enterprise technology leadership. A strong knowledge of various AI frameworks like Generative AI, ML, NLP, and Agentic AI is required. Your ability to conduct boardroom-level discussions and influence CXO decision-making will be crucial, along with translating complex AI technology into business value and strategy. Furthermore, a deep understanding of AI adoption challenges, data strategy, and enterprise AI scaling is necessary. Strong executive presence, storytelling abilities, and stakeholder management skills are essential. Experience in pre-sales, business consulting, and AI roadmap development will be beneficial, as well as exposure to multiple industries such as Retail, CPG, Manufacturing, BFSI, among others. Preferred qualifications include prior experience in top consulting firms or AI-focused roles in global IT services firms, exposure to AI-first product startups or digital transformation programs, and a strong network with industry leaders, analysts, and AI influencers.,

Were Hiring | Python Developer – Generative AI Location: Pune/Hyderabad Experience: 4–5 Years Join Us at the Cutting Edge of AI Innovation! Are you passionate about building products powered by Generative AI and LLMs? Do you enjoy working with cutting-edge tools like OpenAI, LangChain, and vector databases to bring AI ideas to life? We’re looking for a Python Developer (GenAI) who is ready to innovate, collaborate, and help us scale real-world AI solutions from prototype to production. Key Responsibilities: • Build scalable Python applications leveraging LLMs, prompt engineering, and RAG pipelines • Develop REST APIs using FastAPI/Flask for GenAI applications • Collaborate across teams to deploy LLM-powered tools (chatbots, assistants, summarizers) • Work with frameworks like LangChain, Hugging Face, and vector DBs like Pinecone, FAISS • Write clean, modular code with performance optimization in mind Skills We’re Looking For: • 4–5 years in Python development • Proven experience building LLM-based applications • Familiarity with OpenAI, Anthropic, Hugging Face, LangChain • Strong knowledge of REST APIs, microservices, and prompt engineering • Exposure to Git, CI/CD workflows, and agile environments Nice-to-Have: • Cloud exposure (AWS, Azure, GCP) • Experience with Docker/Kubernetes • Understanding of RAG pipelines, semantic search, or fine-tuning models Interested or know someone who fits? Drop your resume or referrals in the comments or send us a message! Thanks Dan - Dan@therxcloud.com

Hi, Wishes from GSN!!! Pleasure connecting with you!!! We been into Corporate Search Services for Identifying & Bringing in Stellar Talented Professionals for our reputed IT / Non-IT clients in India. We have been successfully providing results to various potential needs of our clients for the last 20 years. At present, GSN is one of our leading MNC client. PFB the details for your better understanding: WORK LOCATION: Bangalore Job Role: Python AIML Developer EXPERIENCE: 5 Yrs - 14 Yrs CTC Range: 25 LPA -35 LPA Work Type: WFO All 5 Days Responsibilities: Expertise in Python: Design, develop, and maintain robust and scalable back-end APIs using Python and relevant frameworks. Implement efficient algorithms and data structures to handle complex calculations and data processing. Integrate with various databases and third-party APIs for data access and functionality. Ensure code quality through unit testing, code reviews, and best practices. Analyze and understand raw data & Develop data pipelines to wrangle data ML model development and algorithm design. Interpret trends and patterns, visualization tool, python graph libs. Good knowledge of python, DS, Pandas, Scykit, NumPy, TensorFlow, keras, etc. Open AI, GCP - AI services (vertex AI, etc.), Azure - AI services, Aws- AI services, MLops, NLP. Contribute to CI/CD pipelines for automated deployments and testing using Kubernetes. Application of opensource and commercial large language models (Desired) Application of machine learning algorithms and techniques for natural language processing. (Desired) If interested, kindly APPLY for IMMEDIATE response Thanks & Rgds SHOBANA GSN | Mob : 8939666294 (Whatsapp) | Email :Shobana@gsnhr.net | Web : www.gsnhr.net Google Reviews : https://g.co/kgs/UAsF9W

Lead Data Engineer - What You Will Do: As a PR3 Lead Data Engineer, you will be instrumental in driving our data strategy, ensuring data quality, and leading the technical execution of a small, impactful team. Your responsibilities will include: Team Leadership: Establish the strategic vision for the evolution of our data products and our technology solutions, then provide technical leadership and guidance for a small team of Data Engineers in executing the roadmap. Champion and enforce best practices for data quality, governance, and architecture within your team's work. Embody a product mindset over the teams data. Oversee the team’s use of Agile methodologies (e.g., Scrum, Kanban), ensuring smooth and predictable delivery, and overtly focusing on continuous improvement. Data Expertise & Domain Knowledge: Actively seek out, propose, and implement cutting-edge approaches to data transfer, transformation, analytics, and data warehousing to drive innovation. Design and implement scalable, robust, and high-quality ETL processes to support growing business demand for information, delivering data as a reliable service that directly influences decision making. Develop a profound understanding and "feel" for the business meaning, lineage, and context of each data field within our domain. Communication & Stakeholder Partnership: Collaborate with other engineering teams and business partners, proactively managing dependencies and holding them accountable for their contributions to ensure successful project delivery. Actively engage with data consumers to achieve deep understanding of their specific data usage, pain points, and current gaps, then plan initiatives to implement improvements collaboratively. Clearly articulate project goals, technical strategies, progress, challenges, and business value to both technical and non-technical audiences. Produce clear, concise, and comprehensive documentation. Your Qualifications: At Vista, we value the experience and potential that individual team members add to our culture. Please don’t hesitate to apply even if you don’t meet the exact qualifications, we look forward to learning more about you! Bachelor's or Master's degree in computer science, data engineering, or a related field . 10+ years of professional experience, with at least 6 years of hands-on Data Engineering, specifically in e-commerce or direct to consumer, and 4 years of team leadership Demonstrated experience in leading a team of data engineers, providing technical guidance, and coordinating project execution Stakeholder management experience and excellent communication skills Strong knowledge of SQL and data warehousing concepts is a must Strong knowledge of Data Modeling concepts and hands-on experience designing complex multi-dimension data models Strong hands-on experience in designing and managing scalable ETL pipelines in cloud environments with large volume datasets (both structured/unstructured data) Proficiency with cloud services in AWS (Preferred), including S3, EMR, RDS, Step Functions, Fargate, Glue etc. Critical hands-on experience with cloud-based data platforms (Snowflake strongly preferred) Data Visualization experience with reporting and data tools (preferably Looker with LookML skills) Coding mastery in at least one modern programming language: Python (strongly preferred), Java, Golang, PySpark, etc. Strong knowledge in production standards such as versioning, CI/CD, data quality, documentation, automation, etc. Problem solving and multi-tasking ability in a fast-paced, globally distributed environment Nice To Have: Experience with API development on enterprise platforms, with GraphQL APIs being a clear plus Hands-on experience designing DBT data pipelines Knowledge of finance, accounting, supply chain, logistics, operations, procurement data is a plus Experience managing work in Jira and writing documentation in Confluence Proficiency in AWS account management, including IAM, infrastructure, and monitoring for health, security and cost optimization Experience with Gen AI/ML tools for enhancing data pipelines or automating analysis. Why You'll Love Working Here There is a lot to love about working at Vista. We are an award winning Remote-First company. We’re an inclusive community. We’re growing (which means you can too). And to help orient us all in the same direction, we have our Vista Behaviors which exemplify the behavioral attributes that make us a culturally strong and high-performing team. Our Team: Enterprise Business Solutions Vistas Enterprise Business Solutions (EBS) domain is working to make our company one of the most data-driven organizations to support Finance, Supply Chain, and HR functions. The cross-functional team includes product owners, analysts, technologists, data engineers and more – all focused on providing Vista with cutting-edge tools and data we can use to deliver jaw-dropping customer value. EBS team members are empowered to learn new skills, communicate openly, and be active problem-solvers. Join our EBS Domain as a Lead Data Engineer! This Lead level within the organization will be responsible for the work of a small team of data engineers, focusing not only on implementations but also operations and support. The Lead Data Engineer will implement best practices, data standards, and reporting tools. The role will oversee and manage the work of other data engineers as well as being an individual contributor. This role has a lot of opportunity to impact general ETL development and implementation of new solutions. We will look to the Lead Data Engineer to modernize data technology solutions in EBS, including the opportunity to work on modern warehousing, finance, and HR datasets and integration technologies. This role will require an in-depth understanding of cloud data integration tools and cloud data warehousing, with a strong and pronounced ability to lead and execute initiatives to tangible results.

As a Senior Consultant at Dell Technologies in Bangalore, you will play a crucial role in helping organizations navigate their digital transformation journey. Your responsibilities will include providing technical guidance and solutions for complex engagements, collaborating with global teams to deliver innovative strategies, and deploying digital transformation software stacks. You will be a key member of the Services Delivery team, working alongside other experienced consultants to earn customer trust through your technical expertise and consulting skills. Your role will involve supporting customers in architecting Cloud-Native Apps, driving digital transformation within organizations, and implementing DevSecOps practices to enhance development processes. Additionally, you will evaluate new technology options, onboard automation solutions, and support Sales and Pre-Sales teams in solutioning for customers. Your extensive experience in various technical areas such as DevOps, Cloud Computing, AI & ML, and Data Science will be leveraged to lead large-scale digital transformation projects and guide technical teams effectively. To excel in this role, you should have at least 10 years of experience in the IT industry, with a background in computer science or engineering. Business consulting certifications and proven expertise in areas like Cloud Technologies, DevOps Engineering, and Application Modernization are essential. Experience with automation tools like Ansible, Terraform, and Kubernetes will be highly beneficial. If you are passionate about driving innovation, collaborating with diverse teams, and making a meaningful impact in the technology industry, this role at Dell Technologies could be the perfect opportunity for you. Join us in shaping a future where progress takes all of us. Application closing date: 18-Dec-2024 Dell Technologies is committed to promoting equal employment opportunities and creating a work environment free of discrimination and harassment. For more details, please refer to the full Equal Employment Opportunity Policy.,

We are seeking a Senior Python Backend Developer to join our team and take charge of building REST APIs and serverless functions in Azure using Python. As a Senior Python Backend Developer, your main responsibility will be developing high-performance and responsive REST APIs to cater to front-end requests. It will be essential for you to collaborate with team members working on various layers of the application and integrate front-end elements provided by co-workers. Therefore, having a basic understanding of front-end technologies is crucial for this role. Your duties will include delivering top-quality working software independently, writing secure and efficient code, and designing low-latency, high-availability applications. You will also be tasked with integrating user-facing elements developed by front-end developers, implementing security measures, and ensuring data protection. Additionally, your role will involve working with various Azure services like Azure Functions, APIM, Azure storage, SQL, and NoSQL databases, as well as writing automated tests and integrating with Azure APIM, Tracing, and Monitoring services. To excel in this role, you should have experience in building Azure Functions with Python, be proficient in Python with knowledge of at least one Python web framework, and have familiarity with ORM libraries. You should also be capable of integrating multiple data sources and databases into a cohesive system, possess a basic understanding of front-end technologies like JavaScript, HTML5, and CSS3, and have experience with OAuth2/OIDC for securing the backend using Azure AD B2C. Additionally, expertise in Azure services such as Key Vaults, Cost Management, Budgets, Application Insights, Azure Monitor, VNet, etc., fundamental design principles for scalable applications, database schema creation, unit testing, debugging, Git, Postman, Swagger/OpenAPI, Gen-AI, Langchain, Vectorization, LLMs, NoSQL databases like MongoDB, REST APIs, Microservices, and Azure DevOps for CI/CD will be beneficial for this role. If you are passionate about backend development, have a knack for problem-solving collaboratively, and are committed to delivering high-quality software, we invite you to apply for this exciting opportunity to contribute to our team. (Note: This job description is sourced from hirist.tech),

This position is at the intersection of technology, business processes, and business vision. As a Technology/Digital Transformation Specialist, you are tasked with the critical responsibility of guiding through the journey of modernizing and streamlining operations & offerings through digital technology. The role encompasses a variety of tasks, from assessing current technological infrastructures to proposing innovative solutions aligned with strategic business goals. It requires analytical prowess, technological fluency, and visionary thinking. This role is ideal for those passionate about driving change and excelling in environments requiring technical and interpersonal skills. Perform an assessment of technology/digital needs and develop strategies for leveraging emerging technologies to drive business growth and transformation. Define technology vision, roadmap, and provide recommendations on technology/digital transformation strategies. Manage technology tools, platforms, and processes for smooth workflows. Collaborate with various functions to implement successful digital transformation, manage dependencies, and ensure resource planning. Act as a technology evangelist to build awareness and understanding across internal teams. Lead a technology team to deliver significant business value through automation, creation of tools, and accelerators. Implement technology solutions to digitize services, support training, and drive service changes for better customer experience. Manage risk, opportunities, and dependencies across ongoing transformation programs. Provide leadership to technical resources in delivering on the transformation roadmap. Stay abreast of industry trends, leverage innovation management best practices, and build and maintain positive relationships with stakeholders. Required Skills And Qualifications: - Master's degree in data science, Machine Learning, Operational Research, Computer Science, Engineering, or related field. - 12-15 years" experience in software engineering and product management. - Proven track record of leading product, GenAI/ML projects from conception to deployment. - Experience in managing the product lifecycle, design patterns, standards, and best practices. - Strong leadership, communication, collaboration skills, and ability to thrive in ambiguous requirements. - Familiarity with DevOps practices, microservices architecture, and distributed systems. Why Join Us Join a collaborative and innovative team with opportunities for career growth and development. Work on cutting-edge technologies and challenging projects with a competitive compensation and benefits package. If you are passionate about driving innovation, leading engineering teams, and delivering high-quality solutions, we encourage you to apply for this exciting opportunity.,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

We are looking for a highly experienced and dynamic Lead Data Scientist to join our Gen AI team in Kolkata. You should have 10-12 years of hands-on experience in the Data Analytics Industry, with a successful track record of leading and delivering innovative AI solutions. As the Lead Data Scientist, you will be responsible for steering the strategic direction, ensuring technical excellence, and overall success of our data science initiatives. This role presents a unique opportunity to influence the future of AI at Adani while leading a team of talented data scientists. With 10 years of experience in Data Analytics, NLP & Text Analytics and at least 3 years of experience in GenAI & LLM, you should have demonstrable expertise in leading and delivering AI solutions. Your responsibilities will include leading and mentoring a team of data scientists, defining and driving the strategic direction of the Gen AI practice, collaborating with cross-functional teams, developing cutting-edge AI algorithms, and deploying scalable AI solutions that drive operational efficiency and business value. You should possess a Bachelors, Masters, or PhD in Computer Science, Statistics, Mathematics, or a related field, along with relevant certifications in data science, machine learning, or artificial intelligence. Exceptional leadership and team management abilities, strong problem-solving skills, excellent communication, and stakeholder management skills are essential for this role. Furthermore, you should have advanced proficiency in Python, R, or other relevant programming languages, deep understanding of machine learning, deep learning, and natural language processing techniques, experience with big data technologies, and expertise in model deployment and management. If you are passionate about leading high-impact data science initiatives and contributing to the growth of the organization, this Lead Data Scientist role at Adani offers an exciting opportunity to shape the future of AI in a collaborative environment. Join our team and help us drive innovation and make a meaningful impact.,