525 Generative Ai Jobs - Page 8

Purpose Of The Position: We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven solutions.. Key Responsibilities : Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible manner. Required Skills And Qualifications: 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and algorithms. Preferred Qualifications: Experience with Reinforcement Learning and Recommender Systems personalization techniques. Experience of working with AWS Bedrock services. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders. Why Join Us? Opportunity to be part of a rapidly growing, innovative product-based company. Collaborate with a talented, driven team focused on building high-quality software solutions. Competitive compensation and benefits package.

Growexx is looking for smart and passionate Data Scientist/Analyst, who will empower Marketing, Product, Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyse hit/event level web, product, sales, and digital marketing data. Leverage LLMs (Large Language Models) and traditional machine learning to mine, process, and analyze web, product, sales, and digital marketing event-level data. Develop and fine-tune LLM-driven solutions for tasks such as text summarization, customer support automation, personalization, and user journey understanding. Build and deploy predictive models and ML algorithms across structured and unstructured customer profile, journey, and usage datasets. Deploy LLM and ML models into production environments for activation across websites, product applications, and sales/marketing channels. Design and implement model activation strategies, including A/B testing plans, benchmarking studies, and measurement of final business impact. Conduct comprehensive evaluation of LLMs, including performance benchmarking (accuracy, latency, token usage, cost), prompt effectiveness testing, fine-tuning impact analysis, and safety/bias assessments. Design, build, and deploy LLM-based agentic systems using frameworks such as LangChain, AutoGen, CrewAI, or custom orchestration for complex workflows (e.g., multi-agent collaboration, function-calling pipelines, dynamic task execution). Integrate LLM agents with APIs, internal knowledge bases, retrieval systems (RAG architectures), and external tools to enable autonomous or semi-autonomous decision-making. Partner with data engineering teams to enhance and maintain the Customer360 data model, including creating new feature engineering requirements, improving taxonomy, and identifying and resolving data quality issues. Collaborate with cross-functional teams (Enterprise Data Warehouse, Salesforce MOPS, IT, Product, Marketing) to continuously improve data integration and quality for advanced modeling use cases. Build a deep understanding of business models, objectives, challenges, and opportunities by working closely with leadership and key stakeholders. Document model methodologies, evaluation frameworks, agent workflows, deployment architectures, and post-activation performance results in a structured and reproducible format. Stay current with advancements in LLMs, agentic AI, retrieval-augmented generation (RAG), and ML technologies to recommend and implement innovative solutions. Key Skills Experience using Python, SciKit, SQL, Snowflake, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficient in data mining, advanced statistical analysis, feature engineering, and mathematical modeling. Deep experience with machine learning techniques including supervised, unsupervised, reinforcement learning, causal inference, and predictive modeling. Skilled across the full ML lifecycle: data preparation, feature creation and selection, model training, hyperparameter tuning, evaluation, and deployment for inference/prediction. Extensive hands-on experience with cookie-level advertising and digital marketing data (Google Ads, Bing, Epsilon, LinkedIn, Facebook) for demand generation KPIs such as ROAS, CTRs, impressions, multi-touch attribution (MTA). Proven experience designing, fine-tuning, evaluating, and deploying Large Language Models (LLMs) and generative AI applications. Experience designing and deploying agentic systems using frameworks such as LangChain, AutoGen, CrewAI, and custom function-calling pipelines. Expertise integrating LLM agents with APIs, knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Strong understanding of evaluation metrics for LLMs, including prompt testing, token optimization, bias/safety analysis, latency, and cost benchmarks. Deep familiarity with cookie-level web and product behavior data (usage metrics, conversion funnels, bounce rates, sessions, hits/events, journey optimization). Expertise in designing and executing A/B, multivariate, and lift tests to measure activated ML/LLM model performance across digital and offline channels. Skilled in gathering business requirements, translating them into ML use cases, and clearly communicating methodologies and results to both technical and non-technical stakeholders. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Preferred: practical experience in an engineering capacity building, testing, deploying, and optimizing ensemble ML and LLM solutions in production environments. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 5 + years as a Data Scientist or similar roles.

We are looking for DS Gen AI Lead with Azure Cloud experience. Location - PAN India Experience - 12+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG, Azure and Open AI Job description Deep understanding of RAG Open AI LLM embedding models Good knowledge of Vector database and how it works Experience in designing solutions Ability to do research for use cases and discuss various approaches with pros and cons Evaluate and recommend appropriate AI technologies and frameworks Lead the development and mentor development team in technical challenges Understanding of Data privacy concerns in GenAI application Excellent communication skills Ability and willingness to work late hrs as needed by business

What You'll Do As a Principal Talent Acquisition Partner , you will help build world-class technology and business teams. You will be the trusted advisor to hiring managers, guiding end-to-end hiring strategies, across India and global markets. The role will report to Director TA Job Location: Remote What Your Responsibilities Will Be Strategic Talent Partnering: You will collaborate with business leaders and hiring managers to define hiring strategies aligned with our workforce needsfrom entry-level to Director-level roles. Full-Cycle Recruitment: Own the end-to-end recruitment process, including sourcing, interviewing, negotiating offers, and onboarding, across technology and business functions. Market Expertise: Leverage knowledge of Indian talent marketsincluding Tier 1/Tier 2 engineering campuses and senior tech leadership poolsto attract top talent. Talent Analytics: Use data and talent intelligence to guide hiring decisions, report on pipeline health, and improve recruitment strategies. Leadership Hiring: Build scalable programs for hiring across all levelsfrom mid to seasoned architects and executive roles. Employer Branding: You will Partner with marketing and HR to strengthen our employer brand across digital channels, campuses, and talent communities. Global Collaboration: You will work in cross-cultural teams across geographies; bring sensitivity and awareness to diverse work styles and backgrounds. Tech Hiring: You will Understand the nuances of hiring for AI/ML, data engineering, and SaaS platform roles, and use modern sourcing and assessment tools. Diversity & Inclusion: You will Guide inclusive hiring practices and build diverse candidate pipelines. Process Improvement: You will enhance recruitment workflows, candidate experience, and talent engagement practices using feedback and data. What You'll Need to be Successful 15+ years of experience in talent acquisition, with a track record in technology hiring. Experience the Indian hiring landscape and global recruiting environments. 15+ years of experience sourcing tools (e.g., LinkedIn Recruiter, ATS platforms), analytics dashboards, and hiring technologies. MANDATORILY FROM GLOBAL PRODUCT FIRMS have hired senior tech leads, architects and technologies - Generative AI, product security, SaaS, cloud

- Support the development of internal web applications and tools. - Help build and maintain backend services. - Contribute to frontend development using React.js or Vue.js. - Assist in setting up and managing cloud-based infrastructure.

Hiring: Automation Development Engineer (Python Automation + AI) Location: Bangalore (Work from Office) Experience: 5+ Years Job Description: We are hiring for an Automation Development role involving Python-based workflow automation, analytics dashboard creation, approval flows, and notification systems. The role also includes working on AI APIs, RAG techniques, and AI Agentic Architectures . Key Skills: Python Automation Development AI API Integration, RAG Techniques, AI Agentic Architecture System Design Expertise Protobuf, Blaze, PLX, Spanner, JavaScript, APIs Source Control Management (Git preferred) Google Cloud Platform (GCP) knowledge preferred Profile Requirements: Bachelors or Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering 5+ years of hands-on experience in Software Development / Automation Proficient in Python automation, workflow development, and system design Exposure to AI-driven architectures and related technologies Familiarity with distributed systems and database tools like Spanner Strong problem-solving and debugging skills

Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of statistical analysis and machine learning algorithms.

Our client INFOSYS is looking for ServiceNow Developer with Generative AI Experience position with 5+ Years of experience in INDIA location CONTRACT TO HIRE AND WORK FROM OFFICE Job Description : Having experience on ServiceNow Developer Having experience on Generative AI

Job Title - GN - SONG - MT Transform Marketing Organization- Manager Management Level :7 Manager Location:Delhi, Gurgaon, Mumbai, Bangalore Must have skills:Marketing Strategy, Marketing Transformation Good to have skills:Marketing Job Summary : As part of the team, you will provide transformation services driven by key offerings like Transformative Marketing, Martech, Brand & Creative and Scaled Marketing Services enabled by Generative AI and next gen capabilities. These services help our clients become living businesses by optimizing their marketing, sales and service strategy and organization model, thereby enabling a powerful & efficient marketing-led growth engine, driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of the team, you will drive the following Roles & Responsibilities: Deep dive across projects helping CMO organization to drive superior performance through relevance :You will leverage the comprehensive suite of analytics, consulting and strategy solutions that Accenture offers to enable large scale transformation vision and strategy and delivering capabilities that enable improved marketing performance, cost effectiveness and create relevant consumer experiences on a massive scale Use extensive experience of hands-on roles in customer value management, customer lifecycle management :Work across customer segmentation marketing, customer behavior analysis and channel management Design new campaign strategies and strategizing marketing plans across all channels and devices: Lead marketing assessment, KPI and definition, solution and vendor assessment for different marketing technologies including Pega Develop business case for marketing use cases and solutions: Gather business requirements, designing process & solution for implementation of marketing solutions Manage full spectrum of Marketing program execution :Right from strategy definition to technical delivery, work with real time marketing concepts like next best offer/ action, event-based marketing Design interventions to drive customer acquisition / customer engagement: Monitoring trends, analyzing data, to optimize marketing campaigns along with exposure to analytical and data visualization tools Identify marketing process improvement opportunities :Developing business case for boosting marketing capabilities, campaign strategies, and innovative solutions to drive growth Bring your best skills forward to excel at the role: Bring your creativity and innovation to the forefront to be able to work in a fast-paced environment :Ability to abstract detail into larger patterns, familiarity with user-centered analysis and evaluation techniques Deep dive across projects helping CMO organization to drive superior performance through relevance: You will leverage the comprehensive suite of analytics, consulting and strategy solutions that Accenture offers to enable large scale transformation vision and strategy and delivering capabilities that enable improved marketing performance, cost effectiveness and create relevant consumer experiences on a massive scale Use extensive experience of hands-on roles in customer value management, customer lifecycle management :Work across customer segmentation marketing, customer behavior analysis and channel management Design new campaign strategies and strategizing marketing plans across all channels and devices: Lead marketing assessment, KPI and definition, solution and vendor assessment for different marketing technologies including Pega Develop business case for marketing use cases and solutions: Gather business requirements, designing process & solution for implementation of marketing solutions Manage full spectrum of Marketing program execution :Right from strategy definition to technical delivery, work with real time marketing concepts like next best offer/ action, event-based marketing Design interventions to drive customer acquisition / customer engagement: Monitoring trends, analyzing data, to optimize marketing campaigns along with exposure to analytical and data visualization tools Identify marketing process improvement opportunities: Developing business case for boosting marketing capabilities, campaign strategies, and innovative solutions to drive growth Bring your best skills forward to excel at the role: Bring your creativity and innovation to the forefront to be able to work in a fast-paced environment: Ability to abstract detail into larger patterns, familiarity with user-centered analysis and evaluation techniques Use strong analytical skills with the ability to drive results-oriented decisions :Data-driven mindset within proven utilization of information to drive decisions, calibrate and results. Client handling skills to develop, manage and deepen relationships with key stakeholders Team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Data-driven mindset within proven utilization of information to drive decisions, calibrate and results. Client handling skills to develop, manage and deepen relationships with key stakeholders Team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Additional Information: Qualification Experience: Overall experience of 10+ years with at least 7+ years of experience in driving modern Marketing Organizations and data-driven growth strategies. Strategic advisory experience with ability to put proven frameworks to action to conduct as-is diagnostics and drive visioning workshops with senior stakeholders and leadership teams. Experience in leading marketing strategy, vision, philosophy, brand architecture, brand stage models, seamless integrated marketing process workflows, organization design, change strategies and workforce skilling strategies. Hands on experience in developing customer research design & execution, insight led always-on performance engines, customer Journey specific campaigns and offers, hyper-personalized customer experiences that deliver business value. Experience in working with industry leading Mar-tech tools such as Adobe, Microsoft, Salesforce, among others along with new age Gen AI agentic solutions Influencing skills to drive change agenda on behalf of the CXOs leveraging structured and proven change management frameworks & principles Experience in multi-disciplinary design involving channels, people, process, policy, compliance/controls and technology Understanding of marketing processes and operating models Experience in working across multiple industries including FMCG, Retail, Financial Services, Telecom, Communication, Software & Platforms Strong experience in shaping and driving engagements and ability to lead project teams Educational Qualification: MBA from a tier 1 institute

Must have:- • Strong communicator, from making presentations to technical writing • Experience in financial domain preferably in the areas of Financial accounting and Risk. • Strong data analysis and validation experience with attention to detail and understanding patterns • Good understanding of Credit Risk, workflow and reporting solutions • Have a flair for technology and are adept at leveraging the latest tools and technologies to increase team productivity and collaboration across dispersed teams • Experience in Python, SQL and PL/SQL (Oracle) and writing queries, scripts. • A real passion for and experience of Agile working practices, with a strong desire to work with baked in quality subject areas such as TDD, BDD, test automation and DevOps principles • Experience using DevOps toolsets like GitLab • Has prior experience of working on databases and usage of SQL to perform data analysis, preferably cloud technologies • Familiar with Azure Native Cloud services, software design and enterprise integration patterns. • Experience working with / exposure to NLP, Gen AI, ML and data modelling projects, a plus • Has prior experience of working on IT projects and has knowledge and experience of software development life cycle using Agile methodology • Is well structured, very reliable and dedicated; has high attention to detail, has ability to handle a significant number of dependencies and issues ensuring nothing is missed out. • Has excellent written and verbal communication skills, inter-personal and negotiation skills • Ability to work as part of a global team with multiple delivery teams and engage with stakeholders at various levels • Able to challenge the status quo and if required have the ability to push-back demands from stakeholders with right justification • Someone with a general ability to pick up information quickly and turn around deliverables under pressure • A team player with excellent people management skills • Takes ownership of tasks assigned to ultimate resolution • Accuracy and timeliness of delivering solutions using the best IT standards and practices

Educational Requirements Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology Service Line Cloud & Infrastructure Services Responsibilities As an Infra AI Automation Programmer you will work on design, development, and deployment of AI systems that generate content or data, often using techniques such as deep learning, neural networks, and generative models using Python backend coding. Meet with clients in and remotely to understand their business objectives, challenges, and identify potential use cases for Generative AI. Assess the client's existing technology infrastructure, data landscape, and AI maturity to determine the feasibility and best approaches for Gen AI adoption. Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions (e.g., content creation, customer service, product development, marketing).Gen AI Strategy and Solution Design: Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases, implementation plans, and expected business outcomes. Design Gen AI solutions architecture, considering factors such as model selection (e.g., large language models (LLMs), diffusion models), data requirements, integration with existing systems, and scalability. Evaluate and recommend appropriate Gen AI platforms, tools, and APIs (e.g., OpenAI, Google AI, Azure AI, open-source libraries) relevant to the client's needs and the Indian market. Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 2+ years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow, Pytorch, Langchain and Prompt Engineering Experience with vector databases and retrieval-augmented generation (RAG). Familiarity with MLOps principles and tools for deploying and managing Gen AI models. Understanding of ethical considerations and responsible AI frameworks. Understanding of data structures, data modelling , SQL & NOSQL Object oriented and functional programming & GIT Knowledge of basic algorithms and object-oriented and functional design principles Deep Knowledge of Mathematics, Probability, Statistics, and Algorithms Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology->Machine Learning->TensorFlow Technology->Machine Learning->Python Technology->Machine Learning->Generative AI

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for our customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform our company and provide cutting-edge solutions for our clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you! In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models. What Makes Our AI/ML Practice Unique: Purpose-driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Job Summary: We are looking for a dedicated Lead Data Scientist with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling. In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack. Core Requirements: At least 6 years of experience working with geographically distributed teams 2+ years of experience working in a client-facing role on AI/ML . Demonstrable experience in leading a substantive area of work, or line management of a team. Proven experience in building production grade Retrieval-Augmented Generation (RAG) solutions with hands on experience with advanced RAG techniques for retrieval, re-ranking etc. Build GenAI applications using LangChain, LlamaIndex and familiarity with Vector Stores and Large Language Models. Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred. Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects. Demonstrated experience in deploying ML solutions in production using cloud services like Azure,AWS. Business Understanding, Stakeholder management and Team leading skills. Strong practical expertise in Python and SQL needed for data science projects. Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!

We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

Role & responsibilities AI developer with Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django, ML/DL Internships are available For Junior developers, we will train you in live AI/IOT/Web/Mobile projects. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with Master degree enrollments. Preferred candidate profile Fast self learner. AI with Full stack exposure to REACT,NODE,JSP, PHP-Laravel, Python-django, Android, etc . Good understanding of complex Data base and SQL with healthcare and business application exposure is required.

We are seeking a Data Scientist with 2 to 5 years of experience to join our AI/ML team. The ideal candidate will work under the guidance of a team lead to develop and implement machine learning solutions, with a focus on Natural Language Processing (NLP) and generative AI applications. Key Responsibilities: Develop and maintain NLP models and chatbot solutions under the direction of the team lead Implement machine learning algorithms and deep learning models using Python Process, clean, and validate data to ensure high-quality model inputs Create and optimize generative AI solutions for various business applications Collaborate with team members to improve existing models and develop new solutions Document technical processes and maintain codebase Participate in code reviews and team discussions Debug and troubleshoot models to improve performance Monitor model performance and implement necessary updates Prepare and briefing for client presentation Candidate Specification: Bachelor's degree in Computer Science, Data Science, or related field 2+ years of professional experience in data science or machine learning Experience with large language models and transformer architectures Familiarity with chatbot development using RASA (preferable) or other platform Knowledge of MLOps practices and tools Familiarity with cloud platforms (AWS/Azure/GCP) Knowledge on REST APIs Background in implementing production-grade ML solutions Strong proficiency in Python programming Hands-on experience with NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Knowledge of chatbot development and conversational AI Understanding of generative AI concepts and applications Familiarity with version control systems (e.g., Git) Strong analytical and problem-solving skills Technical Skills: Programming Languages:Python (required) ML/AI Frameworks: TensorFlow, PyTorch, scikit-learn NLP Tools: NLTK, spaCy,Hugging Face Transformers Version Control: Git Data Processing: Pandas, NumPy Development Tools: VS Code Soft Skills: Excellent oral and written communication skills Good at client interaction and client communication Presentation skill Good comprehension and articulator Strong team player with ability to take direction from lead Detail-oriented approach to problem-solving Ability to work in a fast-paced environment Good time management skills Eagerness to learn and adapt to new technologies Perks and Benefits: 5 days working Good work environment Great learning opportunity Work life balance

Mandatory Skills : Python, Machine Learning Models, Flask, Data Visualization Tools. Good to have : Gen AI, NLP, Cloud (AWS) etc Notice Period : Immediate - 30 days Relevant Experience : 5+ Years in Machine Learning Responsibilities : - Design, develop, and deploy machine learning models and algorithms. - Perform data analysis to extract insights and identify patterns. - Develop and implement feature engineering processes to enhance model performance. - Collaborate with data scientists and cross-functional teams to understand business requirements and translate them into technical solutions. - Build and maintain scalable data pipelines and infrastructure. - Develop and deploy machine learning applications using Flask, FastAPI, or Django. - Conduct experiments, model tuning, and evaluate model performance using appropriate metrics. Must-Have Skills : - Python and its libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). - Experience with web frameworks such as Flask, FastAPI, or Django. - Strong understanding of machine learning algorithms and techniques. - Experience with data visualization tools (e.g., Matplotlib, Seaborn). - Strong problem-solving skills and ability to work independently as well as in a team. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. Good-to-Have Skills : - Experience with cloud platforms, particularly AWS. - Knowledge of MLOps practices and tools. - Experience with Natural Language Processing (NLP) techniques. - Exposure to Generative AI (GenAI) technologies.

- Data Scientist -6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. -Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. -Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. -Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. -Familiarity with vector databases and embedding techniques. -Experience deploying models using APIs, Docker, and cloud platforms -Strong analytical, problem-solving, and communication skills. -Experience in ML Ops, Model deployment, Model lifecycle and management

We are seeking a skilled and innovative AI Agent Developer to design, build, and maintain autonomous AI agents capable of performing complex tasks using large language models (LLMs), APIs, and structured environments. The ideal candidate will have a strong foundation in software engineering, experience with AI frameworks, and a passion for building intelligent, adaptive systems. Immediate joiners will be preferred. Key Responsibilities: • Design, develop, and deploy AI agents capable of autonomous decision-making and task execution. • Integrate agents with LLMs (e.g., OpenAI GPT, Claude, Mistral) and external APIs for dynamic reasoning and action. • Implement memory, planning, and tool-use capabilities in agent architectures. • Collaborate with data scientists and backend engineers to optimize performance and scalability. • Monitor and evaluate agent behavior, adapting systems based on real-world feedback. • Contribute to research and innovation on agent frameworks and human-AI interaction models. Required Skills & Qualifications: • Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. • 5+ years of experience with Python, AI/ML frameworks (LangChain, AutoGen, etc.), or agent-based modeling. • Experience with RESTful APIs, cloud platforms (AWS, Azure, GCP), and vector databases (e.g., Pinecone, Weaviate). • Understanding of reinforcement learning, planning algorithms, and prompt engineering. • Excellent problem-solving and communication skills. Preferred Qualifications: • Experience building agents in environments like ReAct, AutoGPT, BabyAGI, or custom frameworks. • Background in cognitive architectures, multi-agent systems, or human-in-the-loop systems. • Exposure to ethical considerations and safety in autonomous AI systems. Interested candidates share resume at meenakshi.middha@alcortech.com with CCTC,ECTC and notice period details.

Roles & Responsibilities: •Experiment and Develop: You will drive the end to end machine learning project lifecycle using best practices and well managed software delivery •Lead the design and development of virtual assistants using Conversational AI platforms •Leads efforts to foster innovative ideas for developing high impact solutions. •Helps in design and develop advanced analytic solutions across unctional areas as per requirement/opportunities. •Participate in discussions with business stakeholders to identify business challenges that can be solved with AI/ML. •Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage. •Support and advise teams on best practices regarding LLM usage and GenAI technologies. Specifically geared towards NLP use cases. •Lead complex and technically challenging projects from concept to completion •Mainly in the Area of AIOps - Clustering, classification, Anomaly detection, capacity prediction •Understand the requirements and design the conversational flows. •Develop Intent and Entities for chatbot. Preferred Profile: 8-10 years of experience in implementing AI/ML models in enterprise systems In-depth understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly detection, and large language models. Proficiency in Python and experience with relevant libraries and frameworks (Pandas, Numpy, Tensorflow etc.) At least 5 years of relevant experience in design, development, and deployment of conversational bots Experience working with Observability tools like Prometheus,Splunk, Datadog & Grafana. •Experience in NLP (Natural Language Processing) & NLU (Natural Language Understanding), ML (Machine Learning), Conversational AI •Integrate bot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions. •Experience with web services integration •Excellent troubleshooting and analytical skills in a complex, distributed environment. •Excellent communication, presentation and collaboration skills. •Self-starter with ability to work independently

Responsibilities: * Design, develop, and deploy generative AI models using Python and TensorFlow. * Optimize model performance through RAG testing and LLM integration.

Note : 5 days work from Office. Atleast one round must be F2F. Job Summary: We are seeking a highly skilled Senior AI/ML Engineer with extensive experience in Generative AI to lead the design, implementation, and optimization of advanced AI/ML solutions. The ideal candidate will serve as a subject matter expert (SME), mentor a team of AI/ML specialists and collaborating with cross-functional teams to deliver impactful solutions. Must-Have Skills: Proficiency in AI/ML frameworks such as PyTorch, TensorFlow, Keras and in using libraries such as Pandas, NumPy and Scikit-Learn ., with strong Python programming skills. Experience with AWS services, particularly AWS Bedrock and Lambda functions, as well as familiarity with Azure. Hands-on expertise in LangChain (agents, chains, memories, parsers, document loaders) and CrewAI . Develop and optimize Generative AI models, including GANs, VAEs, and transformer-based architectures, tailored to solve complex business problems. Proven ability to develop and optimize NLP models , and build production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI API s, Ollama, Llama, and llamaparse . Advanced prompt engineering techniques, including Chain of Thought (CoT) prompting. Familiarity with Docker, CI/CD pipelines, YML file management and Airflow Strong understanding of system design principles, including security, scalability, and performance optimization. Experience in responsible AI practices, including guardrails and moderation mechanisms. Experience with large-scale AI model training and fine-tuning. Interested candidate can share your resumes to Sathishkumar.b@veehealthtek.com.

Join us for an exciting SDE Traineeship at Meesho. Based on the performance at Meesho assessment, successful candidates will be considered for a full-time opportunity (FTE). APPLY HERE: https://p.hck.re/6TcJ About the role: As an SDE Trainee , we expect you to be motivated in solving real-life complex problems and creating compelling experiences for our resellers. Being a small company we have a culture of creative problem- solving, intellectual design, fast-paced development, and passionate product delivery. The pace of our growth is incredible. If you want to tackle hard, interesting and UNIQUE problems, and create an impact within an entrepreneurial environment, JOIN US! Key Responsibilities: Collaborate with teams to develop new features for Meesho customers and suppliers Leverage state-of-the-art technologies and write highly performant code Take end-to-end ownership of features, from ideation to production Technical Requirements: 0-1 years of experience Strong problem-solving skills Excellent understanding of data structures and algorithms, and their space & time complexities Strong hands-on and practical working experience with at least one programming language: Java/Python/Javascript Excellent coding skills should be able to convert design into code fluently.

Axtria: -Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. Axtria enables life sciences organizations to transform the product commercialization journey and deliver much-improved healthcare outcomes for patients worldwide. We are acutely aware that our work impacts millions of people and are incredibly passionate about the improvement we can bring to patients lives. Our focus is on delivering solutions that help pharmaceutical, medical device, and diagnostics companies complete the journey from data to insights to action and get superior returns from their investments. As a participant of the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption and taking actions that advance societal goals. Our people are our core strength, and they make us proud of our work; this has helped us grow exponentially and make tremendous strides toward developing great products. It is for the grit, thinking of an entrepreneur, and a family-like environment where each member is valued and treasured that we are growing rapidly. For more information, visit www.axtria.com. Job Title: - Gen AI Experts ( Open across levels – Senior Associate to Associate Director) Job Location: -Gurgaon/Bangalore/Pune/Hyderabad Job Responsibilities: - Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Qualification: - - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college OR - Master’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college Must have Skills: - Require 3-15 years experience to develop, test, and deploy Python based applications on Azure/AWS platforms Must have basic knowledge on concepts of Generative AI / LLMs / GPT Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT Skills that give you an edge: - Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term projects Benefit package: -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace. Who we are Axtria 14 years journey Axtria, Great Place to Work Life at Axtria Axtria Diversity

Proven experience in developing and implementing Generative AI models and algorithms, with a strong understanding of deep learning fundamentals. Experience with training and fine-tuning Generative models on high-performance computing infrastructure. Experience in working with Vector DB and Embedding Proficiency in programming languages such as Python, NLP, TensorFlow, PyTorch, or similar frameworks for building and deploying AI models. Strong analytical and problem-solving and collaboration skills A passion for exploring new ideas, pushing the boundaries of AI technology, and making a meaningful impact through your work.

Who do we expect Key Responsibilities: Design, develop, and deploy NLP & Generative AI solutions, leveraging Large Language Models (LLMs), fine-tuning techniques, and AI-powered automation. Lead research and implementation of advanced NLP techniques, including transformers, embeddings, retrieval-augmented generation (RAG), and multi-modal models. Architect scalable NLP pipelines for text processing, entity recognition, summarization, question answering, and conversational AI. Develop and optimize LLM-powered chatbots, virtual assistants, and AI agents, ensuring efficiency, accuracy, and contextual awareness. Implement Agentic AI systems, enabling autonomous workflows powered by LLMs and task orchestration frameworks. Ensure LLM observability and guardrails, enhancing model monitoring, safety, fairness, and compliance in production environments. Optimize inference pipelines, leveraging quantization, model distillation, and retrieval-enhanced generation to improve performance and cost efficiency. Lead MLOps initiatives, including CI/CD pipelines, containerization (Docker, Kubernetes), and cloud deployments (AWS, GCP, Azure). Collaborate with cross-functional teams to integrate NLP & GenAI solutions into enterprise applications, ensuring robust API development and scalable microservices architecture. Mentor junior engineers, drive best practices in NLP/AI model development, and contribute to AI governance in regulated industries like pharma/life sciences. Key Qualifications: 7-9 years of experience in NLP, AI/ML, or data science, with a proven track record of delivering production-grade NLP & GenAI solutions. Deep expertise in LLMs, transformer architectures (BERT, GPT, T5, LLaMA, Mistral, etc. ), and fine-tuning techniques. Strong knowledge of NLP pipelines, including text preprocessing, tokenization, embeddings, and named entity recognition (NER). Experience with retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, Chroma), and prompt engineering. Hands-on experience with Agentic AI systems, LLM observability tools, and AI safety guardrails. Proficiency in Python and backend development (Django/Flask preferred), with strong API and microservices expertise. Familiarity with MLOps, cloud platforms (AWS, GCP, Azure), and scalable model deployment strategies. Prior experience in life sciences, pharma, or other regulated industries is a plus. A problem-solving mindset with the ability to work independently, drive innovation, and mentor junior engineers.