633 Gen Ai Jobs - Page 11

We are hiring Data Scientists (3-5 yrs)/ Senior Data Scientist (5 - 8 yrs)/ with strong programming skills in Python and exposure in Classical ML/ GenAi/LLM/NLP/Pricing for Tredence Analytics. Job location: Pune/Kolkata/Hyderabad/Bangalore/Gurgaon/Chennai About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 2,500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toranto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. As we complete 10 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth. Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base. Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in few tier 2 cities in India. In 2024, we also plan to hire more than 1000 employees across markets. Tredence is a Great Place to Work(GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance. At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible

• Bachelor's degree in Computer Science, Information Technology, or related field • At least 4+ years of relevant experience in full stack development. • Interest and experience in working with GenAI solution implementations. • Hands-on experience with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. • Experience with back-end technologies such as Node.js, Python, or Java. • Familiarity with database management systems like MySQL, PostgreSQL, or MongoDB. • Hands-on experience preferred in cloud platforms (AWS/Azure). • Fair knowledge in containerisation (docker) and their orchestration platforms like Kubernetes • Proficiency in version control systems like Git. • Strong problem-solving and analytical skills. • Good understanding of Agile software development frameworks and tools like JIRA. • Open-minded, good communication and interpersonal skills. Preferred/Additional Technical And Professional Expertise • Has good understanding of traditional enterprise technology stack and enterprise networking concepts • Use different generative AI models & frameworks such as LangChain, Haystack, LlamIndex etc for chucking, embeddings, chat completions, integration with different data sources etc. • Experience working with generative foundational AI models and using API endpoints from Azure/AWS to build applications on top of these foundational models for RAG, fine-tuning approaches.

Skills and attributes for success Ability to plan, implement and apply business analysis knowledge areas to scope work effort and capture business requirements for further analysis, and help to prioritize features to produce required business outcomes Experienced in developing technical requirements and specifications, including knowledge of software development methodologies and reporting tools Good interpersonal and communication skill (written and verbal)- able to identify, articulate and present business situation, options and benefits Experience in conducting functional walkthroughs and addressing FAQs to integrate solution into business activities Ability to engage and collaborate in diverse settings of people A sense of urgency, decisiveness, and ability to work well under pressure Ability to listen and to think independently, and be a curious and creative person Understanding of industry-based Business Process Modelling notation To qualify for the role, you must have Bachelor's degree in Business Administration, Business Management, Computer Science, Engineering or related field preferred Minimum 4-6 years of experience with significant role interacting with business to define business operations, workflows and technology solutions Have shown experience of one or more industries or sectors, with broad knowledge of current as well as new technologies Have experience in Agile framework participating directly in Agile practices and producing common artifacts by leveraging industry-based business analysis knowledge Understand product development and delivery framework especially Agile framework, DevOps practices and micro services Strong confirmed experience in either an internal or external business analysis role, or similar, evidenced by adding significant business value through research, challenging the status quo where appropriate, supplying material improvement ideas and developing/communicating full business cases Good technical knowledge and experience in applying business analysis skills, delivering IT solutions, providing comprehensive understanding of business requirements

3-5 years of experience in ML/AI with at least 1 year in GenAI. Proficiency in Python and ML libraries (e.g., Hugging Face, LangChain, OpenAI). Strong skills in building APIs and deploying AI solutions. Experience in data pipeline development.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant, Senio r Data Scientist ! In this role, you will have a strong background in Gen AI implementations, data engineering, developing ETL processes, and utilizing machine learning tools to extract insights and drive business decisions. The Data Scientist will be responsible for analysing large datasets, developing predictive models, and communicating findings to various stakeholders Responsibilities Develop and maintain machine learning models to identify patterns and trends in large datasets. Utilize Gen AI and various LLMs to design & develop production ready use cases. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner. Continuously monitor and improve the performance of existing models and processes. Stay up to date with industry trends and advancements in data science and machine learning. Design and implement data models and ETL processes to extract, transform, and load data from various sources. Good hands own experience in AWS bedrock models, Sage maker, Lamda etc Data Exploration & Preparation - Conduct exploratory data analysis and clean large datasets for modeling. Business Strategy & Decision Making - Translate data insights into actionable business strategies. Mentor Junior Data Scientists - Provide guidance and expertise to junior team members. Collaborate with Cross-Functional Teams - Work with engineers, product managers, and stakeholders to align data solutions with business goals. Qualifications we seek in you! Minimum Qualifications Bachelor%27s / Master%27s degree in computer science, Statistics, Mathematics, or a related field. Relevant years of experience in a data science or analytics role. Strong proficiency in SQL and experience with data warehousing and ETL processes. Experience with programming languages such as Python & R is a must. (either one ) Familiarity with machine learning tools and libraries such as Pandas, scikit-learn and AI libraries. Having excellent knowledge in Gen AI, RAG, LLM Models & strong understanding of prompt engineering. Proficiency in Az Open AI & AWS Sagemaker implementation. Good understanding statistical techniques such and advanced machine learning Experience with data warehousing and ETL processes. Proficiency in SQL and database management. Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud. Experience with Azure ML Studio is desirable. Knowledge of different machine learning algorithms and their applications. Familiarity with data preprocessing and feature engineering techniques. Preferred Qualifications/ Skills Experience with model evaluation and performance metrics. Understanding of deep learning and neural networks is a plus. Certified in AWS Machine learning , AWS Infra engineer is a plus Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

About the Role: We are looking for a forward-thinking Data Scientist to join our R&D team in the publishing domain. The ideal candidate is passionate about AI, stays updated with the latest trends, and is skilled in building and deploying ML models that solve real-world problems. Key Responsibilities: Research and apply Gen AI/ML techniques to publishing use cases. Design, build, and deploy scalable machine learning models. Explore emerging technologies and trends to drive innovation. Collaborate with cross-functional teams to integrate models into products. Collaborate with cross-functional teams to design intelligent features and integrate models into products. Ensure model performance, scalability, and accuracy in production environments. Create POCs for new Gen AI/ML use cases and experiment with emerging technologies. Ensure model performance, scalability, and accuracy in production environments. Stay updated with the latest trends in Gen AI, ML, and data science to drive innovation. Communicate complex findings clearly with both technical and non-technical stakeholders Collaborate with product and engineering teams to integrate models into products Research and prototype new AI/ML techniques tailored to publishing Requirements: Minimum 4 years of ML/AI experience. Hands-on Experience in ML/AI with Lead role. Strong knowledge of Gen AI/ML concepts and algorithms Hands-on experience in deploying models to production (cloud or on-premise) Proficiency in Python, ML frameworks, AI Frameworks & SQL Up-to-date with the latest trends and advancements in AI Bachelor's or Master's in Computer Science, Data Science, or related field Why Join Us? Be part of a dynamic R&D team shaping the future of publishing tech Work with cutting-edge tools and real-world data Opportunity to innovate and influence product direction

Were Hiring | AI Data Analyst (8+ Years, Tech Lead Level) Location: Mahape, Navi Mumbai (Hybrid Work from Office) Joining: Immediate Joiners Preferred Role Overview We are looking for an experienced AI Data Analyst with 8+ years of professional experience, including leadership in tech projects. The ideal candidate should have strong expertise in Python , Machine Learning , AI APIs , and Large Language Models (LLMs) . Youll work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Experience Must Include 2+ year of hands-on experience as a Data Analyst 1+ year of practical experience with AI systems (LLMs, AI APIs, or vector-based search) 2+ years of experience working with Machine Learning models/solutions 5+ years of hands-on Python programming Exposure to vector databases (e.g., pgvector, ChromaDB) is a plus Key Responsibilities Perform data exploration, profiling, and cleaning of large datasets Design, build, and evaluate ML and AI models to solve real-world problems Leverage LLM APIs, foundation models, and vector databases to deliver AI-driven insights Build end-to-end ML pipelines from preprocessing to deployment Create dashboards and visualizations for reporting and analysis Analyze model outputs and provide actionable insights to stakeholders Collaborate with engineering, product, and business teams to scale AI solutions Required Technical Skills Data Analysis Experience with real-world datasets, EDA, and data wrangling Visualization using Pandas, Seaborn, Plotly Machine Learning & AI Practical experience in classification, regression, clustering techniques Experience with Generative AI, LLMs, OpenAI/Hugging Face APIs, vector search Knowledge of RAG architecture and modern AI design patterns Skilled in model evaluation and hyperparameter tuning Programming & Tools Proficiency in Python (5+ years), with strong use of scikit-learn, NumPy, Pandas Expertise in SQL/PostgreSQL Hands-on experience with vector databases like pgvector, ChromaDB Familiarity with LLMs, embeddings, and foundation models Exposure to cloud platforms (AWS/SageMaker), Git, REST APIs, and Linux Nice to Have Experience with Scrapy, SpaCy, or OpenCV Knowledge of MLOps, model deployment, CI/CD pipelines Familiarity with PyTorch or TensorFlow Soft Skills Strong analytical thinking and problem-solving abilities Excellent verbal and written communication Self-motivated, proactive, and a great team player To Apply: Send your resume to [Insert Email] or apply via kajal.uklekar@arrkgroup.com Lets shape the future of AI together! Thanks & Regards, Kajal Uklekar Arrk Group Senior Manager-Talent Acquisition www.arrkgroup.com

About us Exotel is one of Asias largest cloud telephony companies. Our aim is to change the way enterprises look at customer communication. We build the best-in-class communication products that power the companies of today and tomorrow. Our technology enables customer communication for our clients such as Uber, Ola, Go-Jek, ICICI, IDFC, Redbus, Flipkart, Quikr, Practo, Lazada, Redmart, etc. to name a few. We are a 9-year-old company with humble beginnings. We started as a 3-member team. Currently, we are a 120-member team catering to over 3000 customers across the globe. Our technology has connected over 400 million people across the world and powered over 10 billion conversations. Read our growth story here. Tech @ Exotel Exotel Engineering solves some really cool infrastructure-level problems with the goal of ensuring no one misses a call or an SMS. Our focus is on building a very fault-tolerant, loosely coupled, scalable and real-time distributed system We are generally agnostic of language, technology or tools. Currently, our tech stack is built on Golang, Node.js, Ruby, Java and PHP. We use Aerospike, and MySQL as data stores, ElasticSearch for search and Beanstalkd for queuing We emphasize a lot on clean abstractions of code, loosely coupled services and good coding practices We are very strong believers in "you built it, you own it!". And running a distributed system is very different from just building one! We are crazy about high availability What are we looking for? We are looking for candidates with strong programming skills, and a strong understanding of computer/distributed systems. We want people who love designing and building infrastructure components and large complex services. Being a Software Engineer at Exotel takes a bit more than the following Must-haves Bachelor's or Master's degree in computer science or equivalent. Experience working with major cloud solutions AWS (preferred), Azure, and GCP. Familiarity with 3-Tier, microservices architecture and distributed systems Experience with the design & development of RESTful services Experience with developing Linux-based applications, networking and scripting. Experience with different data stores, data modelling and scaling them Familiarity with data stores such as Aerospike, MySQL, Mongo-db etc. 3 to 5 years of experience with Python, Gen AI, Agentic AI, building dedicated chatbots, RAG, LLMs Good understanding of data structures, multi-threading and concurrency concepts. Experience with DevOps tools like Jenkins, Ansible, Kubernetes, Git is a plus. Familiarity with elasticsearch queries and visualization tools like grafana, kibana Strong networking fundamentals: Firewalls, Proxies, DNS, Loadbalancing, etc. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Team player, flexible, and able to work in a fast-paced environment. A "devops" mindset. You own what you will develop. Other expectations: Willingness to explore and learn new technologies on the Job Take end-to-end ownership of software development lifecycle in a DevOps as a culture setting: Design, Development, Deployment and Monitoring Independently deliver software work products by working with stakeholders(PMs, Architects and team leads)

Key Responsibilities: Machine Learning (ML): Design, build, and deploy ML pipelines for structured and unstructured data. Conduct feature engineering, model selection, and hyperparameter tuning. Evaluate model performance using industry-standard metrics and improve accuracy. Collaborate with data engineering teams to ensure clean and accessible data for model training. Apply supervised, unsupervised, and reinforcement learning techniques as per use case. Natural Language Processing (NLP): Develop NLP pipelines for text classification, sentiment analysis, entity recognition, summarization, etc. Leverage libraries like spaCy, NLTK, Hugging Face Transformers, and Gensim. Preprocess and tokenize large corpora using advanced NLP methods. Implement solutions for multi-lingual, domain-specific text data challenges. Integrate NLP services with applications or workflows. Large Language Models (LLM): Fine-tune and deploy LLMs (e.g., GPT, LLaMA, BERT, Falcon, Mistral) on custom datasets. Use prompt engineering and retrieval augmented generation (RAG) to build intelligent systems. Optimize inference performance and latency for production-level deployment. Stay updated with the latest in GenAI, foundation models, and transformer architectures. Work on use cases like chatbots, question answering, summarization, content generation, and semantic search.

Job Title: Python AI/ML Engineer Location: Gurugram Experience: 5 to 8 years Job Summary: We are looking for a passionate and skilled Python AI/ML Engineer who brings strong expertise in building AI/ML solutions, productionizing models, and contributing to end-to-end ML pipelines. The ideal candidate should possess deep knowledge of traditional and deep learning concepts, hands-on programming capabilities, experience in enterprise-grade software engineering, and a good understanding of MLOps practices. Key Responsibilities: Design, develop, and deploy scalable machine learning models for classification, regression, NLP, and generative tasks. Build and optimize data transformation workflows using Python and Pandas. Lead AI/ML project pipelines from data ingestion to model deployment and monitoring. Implement model observability, monitoring for drift, and continuous model evaluation. Develop REST APIs and integrate ML models with production systems using frameworks like FastAPI. Participate in code reviews, write unit/integration tests, and ensure high code quality. Collaborate with cross-functional teams including Data Engineers, DevOps, and Product Managers. Stay current with the latest developments in AI, GenAI, ML frameworks, and tools. Use DevOps/MLOps tools to automate and manage model lifecycle processes. Required Skills: Programming & Python Ecosystem: Advanced proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Strong understanding of asynchronous programming, FastAPI, and concurrency (Starlette). Deep understanding of multithreading, multiprocessing, and the Python GIL. Ability to write clean, efficient, and testable code. Machine Learning & Deep Learning: Solid grasp of traditional ML concepts: classification, regression, overfitting/underfitting, regularization (L1/L2), multicollinearity. Experience with deep learning: RNNs, attention mechanisms, dropout, early stopping, loss functions (BCE, categorical cross entropy), diffusion models vs GANs. Familiarity with transfer learning and pre-trained model fine-tuning. MLOps: Understanding of ML pipeline design including model training, deployment, and monitoring. Experience in detecting and mitigating data drift and concept drift. Exposure to model observability, monitoring unstructured data drift, and automated drift alerts. Software Engineering & DevOps: Strong skills in REST API development, integration testing, and CI/CD practices. Experience with containerization tools like Docker. Familiarity with cloud-based ML deployment (AWS/Azure) and logging frameworks. Hands-On Problem Solving & Data Engineering: Ability to perform data transformation and aggregation using Python/Pandas. Experience handling dataframes, joins, ranking, filtering, mapping, and custom logic for preprocessing tasks. Nice-to-Have: Experience in GenAI and working with LLMs. Exposure to tools like MLflow, Kubeflow, Airflow, or similar MLOps platforms. Understanding of NLP, embeddings, and transformer-based models. Prior contributions to open-source ML tools or GitHub repositories.

Role: #GenAIEngineer Exp: #7Years Location: #Bangalore #Baroda #Chennai #Hyderabad #Pune Solutions using LLM RAG Pipeline OCR Tools (Azure Doc Intelligence / Tesseract / John Snow Labs) Image Pre-processing (denoising / enrichment) in OCR pipeline Frameworks / Platforms - LangChain / LlamaIndex / CrewAI / Semantic Kernel Systematic LLM Model Evaluation Prompt Engineering Agentic Frameworks / MCP / A2A / Function Calling Vector search, embedding models, and semantic retrieval Python Programming Azure AI Services (OpenAI, AI Search, Azure AI Hub, Azure ML Studio) Copilot Studio

Location: Bangalore Experience: 6 - 14 Years Notice Period: Immediate Joiners and Serving NP JD: AI and Machine Learning minimum 2 years of hands on experience in Artificial Intelligence, Machine Learning , Deep Learning , Computer Vision projects, products, and systems. Experience of working on ML algorithms, DL models (NLP based models). Vector Databases, Graph Databases etc. Generative AI Familiarity with Generative AI models – including LLMs , RAG Approach, communication flow in both approaches, multimodal usage, open-source models from Hugging face, Lang chain frameworks , Vector DB (atleast one DB should be well known in terms of indexing, storing the embeddings, extracting the answers), Prompts, Context based prompts etc. Experience with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion ) Cloud Platforms: At-least experience of working on one of cloud platforms: AWS Sagemaker, Azure OpenAI, GCP, Google Cloud Vertex AI, IBM WatsonX etc. Thorough knowledge on the various types of Models, F1 score, accuracy, training the models, tuning of models (with hyperparameters & all other techniques), possible statistical models and their fitment, model deployment, data pre/post processing. Knowledge should come out of their practical experience from their projects (no theoretical answers) either using cloud native services or open-source s/w. HW Platforms: At-least experience of working on Intel or Nvidia platforms (CPU+GPU)s Software Engineering – agile development practices, requirements, design, architecture, debugging and validation of software products/projects Experience building commercial grade software, with much of that experience in a large scale, high availability service. Programming Experience – Python, C, C++, C#, Java etc. Working knowledge of Distributed Systems and Cloud Technologies. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality product Ability to debug, read code and work on a large and increasing codebase Good understanding of statistics, linear algebra, and probability theory Excellent problem-solving skills and the ability to work independently and collaboratively Design and architecture: Ability to understand scalable, performant, secure, and efficient AI systems and solutions. Collaboration: Ability to work seamlessly with cross-functional teams, including data scientists, project engineers, delivery (customer), and practice teams. Communication: Ability to clearly convey technical concepts to both technical and non-technical audiences

JOB DESCRIPTION Title: Software Engineer - Data Science Full time Chennai Role Type: Location: Reports to: Data Scientist Summary of the profile: We are seeking a highly motivated and innovative Data Scientist with 2 years of experience to join our team, with a focus on leveraging Generative AI and Large Language Models (LLMs). The ideal candidate will be passionate about exploring the potential of these cutting-edge technologies to solve complex problems and create impactful solutions. You will collaborate with cross-functional teams to research, develop, and deploy generative AI models and LLM-powered applications. What youll do here: Explore and experiment with various generative AI models (e.g., GANs, VAEs, diffusion models) and LLMs (e.g., GPT, BERT, Llama). Fine-tune pre-trained LLMs for specific tasks and domains. Develop and implement generative models for tasks like data augmentation, content generation, and synthetic data creation. ¢ ¢ Prompt engineering, and prompt iteration. Collect, clean, and preprocess large text datasets for LLM training and evaluation. Perform natural language processing (NLP) tasks such as text classification, sentiment analysis, and entity recognition. ¢ ¢ Use LLMs to assist in data cleaning and data understanding. Develop and evaluate machine learning models, including those leveraging generative AI and LLMs. ¢ Evaluate model performance using relevant metrics and techniques, including those specific to LLMs (e.g., perplexity, BLEU score). ¢ ¢ Tune hyperparameters to optimize model performance. Create compelling visualizations and reports to communicate insights from generative AI and LLM experiments. ¢ ¢ Present findings to both technical and non-technical audiences. Collaborate with engineers, product managers, and researchers to define project requirements and deliver solutions. ¢ ¢ Communicate effectively with team members and stakeholders, both verbally and in writing. Stay up-to-date with the latest advancements in generative AI and LLMs. Copyright © RESULTICKS Solution Inc 1 ¢ ¢ Assist in deploying generative AI models and LLM-powered applications to production environments. Monitor model performance and retrain models as needed. What you will need to thrive: ¢ ¢ 2-3 years of professional experience in data science, with a growing interest in Generative AI and LLMs. Proficiency in Python and relevant libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers). ¢ ¢ ¢ ¢ ¢ ¢ Experience with NLP techniques and libraries. Understanding of machine learning algorithms and statistical concepts. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI). Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Experience with Prompt engineering, version control systems like Git and cloud platforms like GCP, AWS or Azure is a plus Preferred Skills: ¢ ¢ ¢ ¢ ¢ ¢ Experience with fine-tuning LLMs for specific tasks. Experience with deploying LLMs in production environments. Knowledge of deep learning architectures relevant to generative AI and LLMs. Familiarity with vector databases. Experience with RAG (Retrieval Augmented Generation) architectures. Experience with the Langchain Library. Education: ¢ Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Core competencies: ¢ Communication, Analytical & Problem-Solving Skills Copyright © RESULTICKS Solution Inc 2 About RESULTICKS RESULTICKS is a fully integrated connected experience platform for Real Time Audience Engagement. RESULTICKS empowers brands to create data-driven communications to their audiences and drives business decisions through its award-winning, AI-powered big data cloud solution. Supported by the worlds first customer data blockchain, RESULTICKS unlocks incredible digital transformation possibilities by delivering the full 360 view of the customer through data consolidation and omnichannel orchestration. Built from the ground up by experts in marketing, technology, and business management, RESULTICKS enables brands to make a transformational leap to conversion- driven, growth-focused personalized engagement. With an advanced CDP at its core. RESULTICKS offers AI-powered omnichannel orchestration, complete analytics, next-best engagement, attribution at the segment-of-one level, and the worlds first marketing block chain. ¢ RESULTICKS has been named to the Gartners Magic Quadrant 2021 for Multichannel Marketing Hubs for five years in a row and has been awarded with the Microsoft Elevating Customer Experience with AI award. ¢ Headquartered in Singapore and New York City, RESULTICKS is one of the top global martech solutions servicing both B2B/B2B2C and B2C segments. RESULTICKS global presence includes the United States, India, Singapore, Indonesia, Malaysia, Vietnam, Thailand, and the Philippines. Watch video on RESULTICKS - https://www.youtube.com/watch?v=G_OwGy6unP8 Copyright © RESULTICKS Solution Inc 3 Walk in details: 9 AM to 12 PM on 12th July 2025 Venue Details Resulticks Edge Solution Technologies Pvt. Ltd No 37, 6th Floor, PM Tower, Greams Road, Thousand Lights, Chennai - 600006 (Landmark: IDBI Bank on the Ground Floor) Contact – Sai Lochini 7904358724 Click here to locate on Maps

Generative AI Engineer Overview We are seeking a visionary GenAI Engineer to lead the design and development of next-generation AI applications using advanced AI services. The ideal candidate will bring deep expertise in GenAI technologies, including Retrieval-Augmented Generation (RAG), intelligent agents, and model fine-tuning, coupled with hands-on experience using tools like LangChain, Model Context Protocol, and Azures full AI stack. Task and Responsibilities: Implement end-to-end Generative AI solutions on the Azure Cloud Platform, leveraging services such as: Azure OpenAI Service, Azure AI Search, Azure Cognitive Services, Azure AI Foundry, Azure Machine Learning etc. Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence , Azure Databricks etc. Design and deploy RAG pipelines, incorporating structured and unstructured data to enhance LLM-based applications. Develop and orchestrate AI Agents and Autonomous Agents for real-time decision-making, task and automation. Fine-tune and optimize Small Language Models ( SLMs ) for domain-specific applications with a focus on performance, cost, and inference latency. Integrate LLMs/SLMs into applications using frameworks such as LangChain , Model Context Protocol ( MCP ), etc. Collaborate with data scientists, ML engineers, and product teams to align AI capabilities with business goals. Lead technical discussions and create architecture blueprints, best practices, and governance models for GenAI adoption across the enterprise. Monitor and optimize deployed solutions for scalability, latency, security, and compliance. Qualifications: Bachelor's or master's degree in computer science, Data Science, AI/ML, information technology, or a related field. Overall 8+ years’ combined experience in IT, 5+ years of experience in AI/ML solution engineering with at least 2+ years focused on Generative AI. Strong experience with LLMs and SLMs, including integration of open source models, prompt engineering, evaluation, and fine-tuning techniques. Proven track record using LangChain, Semantic Kernel, RAG, AI Agents, and MCP (Model Context Protocol) in production environments. Solid understanding and Hands-on experience with vector databases, embeddings, and Azure AI Search integration for semantic retrieval. Hands-on experience with tools like MLFlow, Azure Machine Learning, Azure OpenAI Service, Azure AI Search, Azure Cognitive Services, Azure AI Foundry, Azure Machine Learning etc. Familiarity with MLOps, CI/CD pipelines, and responsible AI practices. Experience deploying AI models on Azure Kubernetes Services (AKS) or Azure Container Apps. Understanding of security and compliance in AI deployments (e.g., data privacy, bias detection). Proficiency in programming languages like Python (essential). Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills to work effectively in a team environment. A passion for innovation and a desire to push the boundaries of what's possible with Gen AI. Relevant industry certifications, such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc. is a plus.

Role & responsibilities Job Description: Lead Generative AI Engineer Overview We are seeking a highly skilled and experienced Generative AI Developer to lead our advanced AI solutions team. The ideal candidate will have a strong foundation in Generative AI, Machine learning, and Artificial intelligence, with a proven ability to develop cutting-edge AI solutions that transform business processes and drive innovation. The Lead GenAI Engineer will develop and deploy advanced Generative AI Products, including fine-tuning V/LLM models and implementing (Graph) RAG (Retrieval-Augmented Generation) solutions. This hands-on role requires deep technical expertise and as part of the GenAI team will implement and optimize Gen AI agents Responsibilities - Technical Leadership: Lead and mentor a team of AI developers, providing technical guidance and innovative problem-solving strategies. Drive multiple POC developments parallelly. - Solution Design/Development: Architect and develop advanced generative AI solutions, including large language models, multimodal AI systems, and complex generative workflows. Implement state-of-the-art GenAI & agents technologies and best practices. Develop, experiment with, and validate Gen AI applications aligning with business objectives. Model Development: Design, train, and optimize state-of-the-art generative AI models, including fine-tuning, prompt engineering, and model alignment techniques. Embed automated processes (LLMOps) Implement scalable, secure, and cost-effective Gen AI solutions to meet current and future business needs. Prototype and benchmark on the AI/ML stack, LLMOps, and AgentOps frameworks. Troubleshoot AI application issues, working closely with infrastructure teams and application owners. Foster innovation within the team to support a collaborative work environment. - Project Management: Oversee the entire project lifecycle from conceptualization through development, deployment, and continuous improvement. - Collaboration Identify opportunities to apply the latest advancements in Large Language Models (LLMs) and Agents Work with our cross-functional team to deliver features in an iterative manner Educate the organization both from IT and the business perspectives on Generative AI. - Research and Innovation: Stay at the forefront of generative AI advancements, exploring emerging technologies and implementing innovative AI solutions. - Performance Optimization: Develop strategies to improve model efficiency, reduce computational costs, and enhance AI system performance. - Ethical AI Implementation: Ensure responsible AI development, addressing bias, fairness, and ethical considerations in generative AI systems. - Client Engagement: Translate complex technical concepts into actionable insights for stakeholders and clients. Qualifications - Masters in computer science, Artificial Intelligence, Machine Learning, or a related field. - Minimum 6 years of experience in AI development, with a strong focus on generative AI technologies. 5+ years in at least 2 AI domains: NLP, NLG, Computer Vision, Machine Learning, etc. - Proven track record of leading and delivering successful AI development projects. - Expert-level proficiency in programming languages such as Python, with strong software engineering skills. - Deep expertise in machine learning frameworks and libraries (TensorFlow, PyTorch, Hugging Face). Key Technical Competencies - Generative AI Technologies: - Large Language Models (LLMs), Diffusion Models, Transformer Architectures, Multimodal AI Systems Extensive knowledge of LLM Python libraries: langchain, langGraph, promptflow, semantic kernel, Autogen, graphRag, promptflow Good software engineering background, (developing application, API, frontend integration, security best practices, experience with fastAPI, Asyncio). Distributed Computing, GPU Optimization, Containerization (Docker, Kubernetes) is a plus Strong experience with atleast 1 of Cloud AI Services (AWS, GCP, Azure) Preferably Azure Strong experience with Gen AI model deployment and monitoring (CI/CD, Weight & Biases GitHub pipelines is a plus). Advanced understanding of security, compliance, and ethical considerations in AI - Bias Detection and Mitigation, Responsible AI Principles, Model Interpretability, Ethical AI Frameworks - Advanced Machine Learning Techniques - Transfer Learning, Few-shot and Zero-shot Learning, Prompt Engineering, Model Fine-tuning Preferred Qualifications - Strong communication and collaboration abilities - Experience with cutting-edge generative AI research - Publications or contributions to open-source AI projects - Experience in domain-specific AI applications (healthcare, finance, insurance) - Demonstrated ability to explain complex AI concepts to non-technical stakeholders Additional Skills - Exceptional problem-solving and analytical thinking - Ability to work in fast-paced, innovative environments - Commitment to continuous learning and technological advancement Preferred candidate profile Please apply who are interested to work C2H/Contract role in large insurance company the candidate should come office at least 4 days Monthly work from office in Pune/Trivandrum

Job Title / Primary Skill: AiML Architect Management Level: G150 Years of Experience: 8 to 14 years Job Location: Bangalore/Kochi (Hybrid) Must Have Skills: AiMl, NLP, Machine Learning, Deep learning, Python Educational Qualification: BE/BTech/ MTech/ MCA (Minimum bachelors degree) 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 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

The Life Sciences Marketing Senior Manager position is within the Marketing Transformation vertical of Accenture GN Song. The individual would work at the heart of the top global Life Sciences (Pharmaceuticals, Biotechnology and Medical Technology) and would collaborate on innovative projects while bringing in deep industry knowledge and Marketing skills. The key responsibilities will include Strong project management skills to plan, execute, and deliver content initiatives successfully. This includes managing timelines, budgets, resources, and coordinating cross-functional teams. An analytical & data driven mindset to drive result-oriented decisions Exposure and experience in roles across the marketing value chain, primarily in the life sciences or allied industries as detailed out below. Consulting & Advisory service Market Research Analysis and assessment of the pharmaceutical market across disease areas and opportunity identification for new launches, indication expansions, identify emerging trends, competitive landscapes, and new opportunities within the life sciences sector. Competitor benchmarking, patient journey mapping, segmentation & targeting Digital Marketing Develop E2E strategy & campaigns: Liaise with key client stakeholders in the marketing teams to design strategies for omni-channel marketing campaigns. Lead development of content marketing, social media, and web engagement programs for the client, ensuring that they are aligned with the overall content strategy. In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Provide expertise on Content design and campaign execution: Able to provide a perspective on identification and selection of the right digital channels and content types based on campaign objectives. Able to understand client requirements based on their briefs & ideate to appropriate creative designs. Support end to end campaign execution and suggest ways for optimization. Marketing Technology Lead platform assessment and solution design : Understand the marketing value chain across process, technology & people. Conduct a thorough assessment, propose a solution along with an operating model & define KPIs for different marketing technologies Adobe / SF / Veeva. Have an understanding of the regulatory, compliance and governance landscape in the industry and build frameworks for scale up. MarTech Consulting Projects: Lead projects focusing on optimizing the MarTech stack and develop use cases to improve utilization of existing MarTech stack. Research, evaluate and recommend new martech systems and suppliers. Keep a holistic understanding of existing and upcoming martech platforms and how they connect into the broader marketing technology landscape. Tools & Platforms: Hands on experience on Mar-tech tools such as Adobe campaign, Marketo, Adobe, Cloud, Google Marketing platform, Google Ads, Pega decisioning, SFMC etc. Value realization : Crafting a value tree and developing business cases for implementation and scale up Gen AI Be aware of the latest AI developments in the Life Science industry and be able to co-create customized solutions for the client to meet their objectives. Have experience in CDP tools and platforms. Design and implement GenAI use cases Sales & Business Development Generating new business engagements:Drive new business opportunities by identifying and pursuing new leads, defining GTM strategy, facilitate client discussions and presentations to drive new business and client relationships. Own and drive RFP/RFI response coming in from Life Science customers Practice Development Take on leadership role:Support overall growth of practice across all the pillars Marketing as well as sales, & service through a combination of business development, talent management, oversight of delivery work, and thought leadership. Collaborate with Salesforce, Veeva, Adobe, IQVIA etc. business groups, to enable business capabilities with agility, velocity, and quality while optimizing costs. Establish a strong network with key stakeholders in the Accenture ecosystem, across geographies to socialize and amplify the GN Song capabilities, operating model and ways of working to generate demand and meet the KPIs Lead and motivate teams with diverse skills and backgrounds. Manage and mentor talented teams of consultants and technologists supporting, providing input and guidance into the talent strategy and actively participate in engagement, capability development activities. Read about us. Your experience counts! MBA from a tier 1 institute with preferably bachelors degree in marketing, Journalism, Communications, or a related field Proven working experience (8+ years) in digital marketing/Advertising platforms and in delivering marketing solutions, particularly within the Life Sciences Industry In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Experience in working with middle to senior management levels within existing organization / client organizations Experience in working with Agencies or working in a Marketing agency for Life Sciences Clients Strong understanding of marketing, advertising technologies (with hands on) and ability to apply technology know-how to better how our clients reach out to their customers Whats in it for you An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture Strategy & Consulting: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit Song | . The Strategy & Consulting Global Network Song Practice| Marketing Transformation | Life Science Marketing Senior Manager Join our team of Strategy & Consulting Global Network Song who solve customer facing challenges at clients spanning sales, service and marketing to accelerate business change. Practice: Strategy & Consulting Global Network Song I Areas of Work:Digital Marketing, Creative Strategy, Brand Strategy, Campaign Management, Next Best Action Marketing, Mar-Tech Strategy, Customer Experience & Journey Development | Level:Senior Manager| Location:Delhi, Mumbai, Bangalore, Gurgaon, Hyderabad | Years of Exp:8+ years Explore an Exciting Career at Accenture Are you passionate about scaling businesses using in-depth frameworks and techniques to solve customer facing challengesDo you want to design, build and implement strategies to enhance business performanceDoes working in an inclusive and collaborative environment spark your interest Then, this is the right place for you! Welcome to a host of exciting global opportunities within Accentures Strategy & Consulting Global Network Song practice. The Practice A Brief Sketch The Strategy & Consulting Global Network Song practice is aligned to the Global Network Song Practice of Accenture and works with clients across their marketing, sales and services functions. As part of the team, you will provide transformation services driven by key offerings like Living Marketing, Connected Commerce and Next-Generation Customer Care. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. The Life Sciences Marketing Senior Manager position is within the Marketing Transformation vertical of Accenture GN Song. The individual would work at the heart of the top global Life Sciences (Pharmaceuticals, Biotechnology and Medical Technology) and would collaborate on innovative projects while bringing in deep industry knowledge and Marketing skills. The key responsibilities will include Strong project management skills to plan, execute, and deliver content initiatives successfully. This includes managing timelines, budgets, resources, and coordinating cross-functional teams. An analytical & data driven mindset to drive result-oriented decisions Exposure and experience in roles across the marketing value chain, primarily in the life sciences or allied industries as detailed out below. Consulting & Advisory service Market Research Analysis and assessment of the pharmaceutical market across disease areas and opportunity identification for new launches, indication expansions, identify emerging trends, competitive landscapes, and new opportunities within the life sciences sector. Competitor benchmarking, patient journey mapping, segmentation & targeting Digital Marketing Develop E2E strategy & campaigns: Liaise with key client stakeholders in the marketing teams to design strategies for omni-channel marketing campaigns. Lead development of content marketing, social media, and web engagement programs for the client, ensuring that they are aligned with the overall content strategy. In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Provide expertise on Content design and campaign execution: Able to provide a perspective on identification and selection of the right digital channels and content types based on campaign objectives. Able to understand client requirements based on their briefs & ideate to appropriate creative designs. Support end to end campaign execution and suggest ways for optimization. Marketing Technology Lead platform assessment and solution design : Understand the marketing value chain across process, technology & people. Conduct a thorough assessment, propose a solution along with an operating model & define KPIs for different marketing technologies Adobe / SF / Veeva. Have an understanding of the regulatory, compliance and governance landscape in the industry and build frameworks for scale up. MarTech Consulting Projects: Lead projects focusing on optimizing the MarTech stack and develop use cases to improve utilization of existing MarTech stack. Research, evaluate and recommend new martech systems and suppliers. Keep a holistic understanding of existing and upcoming martech platforms and how they connect into the broader marketing technology landscape. Tools & Platforms: Hands on experience on Mar-tech tools such as Adobe campaign, Marketo, Adobe, Cloud, Google Marketing platform, Google Ads, Pega decisioning, SFMC etc. Value realization : Crafting a value tree and developing business cases for implementation and scale up Gen AI Be aware of the latest AI developments in the Life Science industry and be able to co-create customized solutions for the client to meet their objectives. Have experience in CDP tools and platforms. Design and implement GenAI use cases Sales & Business Development Generating new business engagements:Drive new business opportunities by identifying and pursuing new leads, defining GTM strategy, facilitate client discussions and presentations to drive new business and client relationships. Own and drive RFP/RFI response coming in from Life Science customers Practice Development Take on leadership role:Support overall growth of practice across all the pillars Marketing as well as sales, & service through a combination of business development, talent management, oversight of delivery work, and thought leadership. Collaborate with Salesforce, Veeva, Adobe, IQVIA etc. business groups, to enable business capabilities with agility, velocity, and quality while optimizing costs. Establish a strong network with key stakeholders in the Accenture ecosystem, across geographies to socialize and amplify the GN Song capabilities, operating model and ways of working to generate demand and meet the KPIs Lead and motivate teams with diverse skills and backgrounds. Manage and mentor talented teams of consultants and technologists supporting, providing input and guidance into the talent strategy and actively participate in engagement, capability development activities. Read about us. Whats in it for you An opportunity to work on with key G2000 clients Potential to with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your to grow your skills, industry knowledge and capabilities Opportunity to thrive in a that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. Qualification Your experience counts! MBA from a tier 1 institute with preferably bachelors degree in marketing, Journalism, Communications, or a related field Proven working experience (8+ years) in digital marketing/Advertising platforms and in delivering marketing solutions, particularly within the Life Sciences Industry In-depth knowledge of branding, creative development and execution, digital marketing, and campaign deployment and optimization Experience in working with middle to senior management levels within existing organization / client organizations Experience in working with Agencies or working in a Marketing agency for Life Sciences Clients Strong understanding of marketing, advertising technologies (with hands on) and ability to apply technology know-how to better how our clients reach out to their customers

Job description: - Senior Data Scientist Organization : - Ray Business Technologies is a CMMI Level 3, ISO 27001:2013 Certified Company and The Member of NASSCOM, AIIA, NJTC and HYSEA. About Organization : Ray Business Technologies (RBT”) is a global Information Technology (IT) Solutions company. Ray Business Technologies offers IT Solutions for Artificial Intelligence (AI), ERP, CMS, CRM, EAI to BFSI, Retail, Online commerce, Healthcare, Manufacturing, Media, Agriculture and Telecom verticals. Founded in 2009, 15 years of trust, A CMMI Level 3 Certified company. Responsibilities : Sound knowledge on Machine Learning, Deep Learning, statistical modelling, data analytics, algorithmic problem solving. Should poses a sound knowledge in R & D (Build from Scratch). Hands on Experience working components like- DL, Transform model, LLM, NLP, Computer Vision etc. Hands on experience in implementing Deep Learning technique. Hands on Experience of Natural Language Processing (NLP) techniques. Hands on experience in OCR technology. Inclination towards Mathematics / Statistics. Nice to have MS Excel skill, Reporting. Experience in object-oriented programming. Hands on Experience of Python or R. Good Knowledge on Cloud Technology (Azure cloud platform). Requirements: 4-6 years of experience in a data science or analytics role, with a proven track record of leveraging analytics to drive significant business impact. Excellent communication skills with the ability to translate complex findings into actionable insights for non-technical stakeholders. Strong knowledge of machine learning techniques (e.g., classification, clustering, regression), and experience applying them to real-world problems. Strong analytical and problem-solving skills, with a keen attention to detail. Experience with cloud platforms (e.g., Azure) and big data technologies (e.g., Hadoop, Spark) is a plus. Benefits : Competitive salary and comprehensive benefits package. Opportunities for professional development and career growth. Dynamic and collaborative work environment with talented colleagues.

In these roles, you will be responsible for: Design, implement, and test generative AI models using python and various frameworks such as Pandas, TensorFlow, PyTorch, and OpenAI. Research and explore new techniques and applications of generative AI, such as text, image, audio, and video synthesis, style transfer, data augmentation, and anomaly detection. Collaborate with other developers, researchers, and stakeholders to deliver high-quality and innovative solutions. Document and communicate the results and challenges of generative AI projects. Required Skills for this role include: Technical skills (End To End Gen AI) 5 to 7 years of Experience in developing Python frameworks such DL, ML, Flask At least 2 years of experience in developing generative AI models using Python and relevant frameworks. Strong knowledge of machine learning, deep learning, and generative AI concepts and algorithms. Proficient in Python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. Familiar with version control, testing, debugging, and deployment tools. Excellent communication and problem-solving skills. Curious and eager to learn new technologies and domains. Desired Skills: Knowledge of Django, Web API Proficient exposure on MVC. Preferences: Graduate degree in Computer Science with 4 years of Python based development. Gen AI Framework Professional Certification About NTT DATA NTT DATA is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients long-term success. Visit nttdata.com or LinkedIn to learn more. NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or

Role: Data Science Location : Pune Exp : 3 - 5 yrs Requirement: GENAI - Python/Data/AI Dev Python DSS Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems Skills: Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data mining and cleaning ML (Supervised/unsupervised learning) NLP techniques, knowledge of Deep Learning techniques include RNN, transformers End-to-end AI solution delivery AI integration and deployment AI frameworks (PyTorch) MLOps frameworks Model deployment processes Data pipeline monitoring Expert: (in addition to proficient skills) Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) Proficiency in deep learning frameworks (TensorFlow, PyTorch) Strong mathematical foundation (linear algebra, calculus, probability, statistics) Research methodology and experimental design Proficiency in data analysis tools (Pandas, NumPy, SQL) Strong statistical and probabilistic modelling skills Data visualization skills (Matplotlib, Seaborn, Tableau) Knowledge of big data technologies (Spark, Hive) Experience with AI-driven analytics and decision-making systems

Responbilities 8+ years in technology, including 2+ in AI/NLP or prompt engineering Proven experience with LLMs (GPT-4, Claude, Gemini, or open-source equivalents) Proficiency in Python and prompt orchestration using APIs and libraries Provident fund

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

Role & responsibilities Design, develop, and deploy scalable full-stack applications using Go (Golang) and React . Integrate Generative AI models (LLMs, diffusion models, embeddings, etc.) into product workflows. Work closely with product managers, data scientists, and UX designers to develop intelligent and intuitive user experiences. Develop APIs and microservices optimized for performance, scalability, and security. Optimize frontend applications for performance, accessibility, and responsiveness. Maintain code quality through best practices, code reviews, and automated testing. Contribute to architectural decisions and long-term technology strategy. Preferred candidate profile 6+ years of experience in full-stack development. Strong proficiency in Go (Golang) for backend development. Extensive experience with React.js and modern frontend technologies. Experience building and integrating Generative AI applications (e.g., using OpenAI, Hugging Face, LangChain). Proficiency with RESTful APIs, GraphQL, WebSockets. Strong understanding of cloud services (AWS, GCP, or Azure). Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding techniques. Solid foundation in data structures, algorithms, and system design.

Job Scope: The Senior DevOps Engineer will strategically oversee the DevOps practices, infrastructure management, and operational processes for two major projects the AI No-Code Platform and AI Inferencing Platform. The role ensures robust, secure, scalable, and high-performance infrastructure aligning with organizational goals and industry best practices. Job Responsibilities: 1. Design, deploy, and manage scalable infrastructure across cloud and hybrid environments (AWS, Azure, GCP, Yotta). 2. Implement and maintain continuous integration and delivery (CI/CD) pipelines. 3. Manage containerization and orchestration using Docker and Kubernetes. 4. Ensure security, compliance, and vulnerability management (SOC2, GDPR, ISO27001). 5. Oversee system monitoring, logging, alerting, and incident response. 6. Optimize infrastructure performance and cost-efficiency. 7. Implement disaster recovery, backup strategies, and business continuity planning. 8. Manage cloud cost, budgeting, and forecasting. 9. Mentor and provide leadership to DevOps and infrastructure team members. 10. Collaborate cross-functionally with developers, QA, product management, and senior stakeholders. 11. Document infrastructure architecture, configurations, processes, and maintain operational reporting. Good to have skills: Certifications in AWS, Azure, GCP, Kubernetes (CKA/CKAD) Experience in GPU-intensive workloads and AI/ML infrastructure Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation Familiarity with MLOps practices and AI model deployment Behavioral Attributes: Action Orientation & Accountability: Demonstrates proactivity, ownership, and responsibility for outcomes. Reliably delivers results despite challenges. Art of Skillful Conversation: Communicates clearly, effectively, and persuasively. Engages stakeholders to facilitate productive dialogue and decision-making. Creativity & Problem Solving: Innovates and provides out-of-the-box solutions. Quickly identifies issues and develops efficient and effective resolutions. Business Acumen: Understands strategic objectives and aligns technical solutions with business goals. Makes decisions considering organizational impact. Dealing with Ambiguity: Effectively handles uncertain or unclear situations with composure. Adapts and thrives in dynamic and rapidly changing environments. Learning on the Fly: Rapidly assimilates new information, technologies, and methodologies. Continuously seeks opportunities for personal growth. Building Trust: Establishes credibility and trustworthiness through transparency and consistent performance. Fosters strong interpersonal relationships. Customer Focus: Consistently prioritizes customer needs and ensures solutions meet user expectations. Demonstrates empathy and responsiveness. Intellectual Horsepower: Quickly grasps complex concepts and identifies essential insights. Capable of analytical thinking and clear strategic vision. Prioritizing, Planning & Organizing: Efficiently organizes tasks and allocates resources to meet objectives. Balances competing priorities effectively. Process Quality Excellence: Consistently adheres to and improves upon established processes. Ensures high-quality standards and continuous improvement. Listening, Sensing, Observing: Attentively gathers information and feedback from diverse sources. Understands nuanced messages and responds appropriately. Building Collaborative Relationships: Effectively collaborates across teams to achieve shared goals. Encourages teamwork, cooperation, and mutual support. Qualification and Experience: Bachelors/Masters degree in Computer Science, IT, or related fields Minimum 15+ years of experience in infrastructure management and DevOps Extensive experience with cloud platforms, CI/CD tools, and Kubernetes Proven experience in infrastructure security and compliance frameworks Strong scripting and automation skills (Bash, Python, Ansible)

12 yrs of exp in media & design, at least 5 yrs in a leadership, project mngt role, pref. within the Media, Design, EdTech domains. Proven ability to work on content, media projects for global audiences, localization needs & cultural sensitivities. Required Candidate profile Exp designing, producing content for online courses, apps, games, certification prog, understanding of pedagogy, adult learning principles, digital credentialing, and skills-first design approaches.