525 Generative Ai Jobs - Page 9

Roles and Responsibilities Define and execute the product strategy and roadmap for key areas within the Collections Platform. Lead product discovery, define detailed product requirements, and manage end-to-end execution with engineering, design, and data science partners. Champion the use of Generative AI/Agent-based automation to create more intelligent, responsive, and scalable debt recovery systems. Collaborate with Architecture and Engineering to evaluate technical solutions, trade-offs, and delivery plans in an Agile environment. Partner with business strategy and analytics teams to identify trends, discover new opportunities, and measure impact. Drive experimentation through A/B testing, customer feedback, competitive research, and usability studies. Own and monitor key product and platform metrics to continuously improve functionality, performance, and user experience. Align with Legal, Compliance, and Privacy teams to ensure adherence to regulatory requirements across regions. Serve as a strong advocate for platform excellence, customer empathy, and long-term scalability. Minimum Required Skills & Qualifications Bachelor s degree in Engineering, Computer Science, or related technical field required. MBA or Master s degree preferred. 6+ years of experience in technical product management, with a proven track record of launching and scaling platforms or infrastructure products. Hands-on experience with SQL and/or Python for data analysis and experimentation. Demonstrated success leading complex product areas across multiple teams and stakeholders. Prior experience or strong familiarity with Credit, Risk, or Payments domains is a strong plus. Experience with Generative AI models or conversational/agent-based AI applications is highly desirable. Strong problem-solving, analytical thinking, and prioritization skills. Excellent verbal and written communication; capable of influencing at all levels of the organization. Self-starter with a strong sense of ownership, curiosity, and a bias for action.

As the Engineering manager, you will be managing the roadmap priorities for AI/MLSolution andwill bepoint of contactfor all technical issues and decisions, while managing stakeholders and partners across the organization. Provide technical leadership manage a high-performing engineering team to build and scale our next generationAI Solutions. Hire and directly lead a diverse team of top-tier ML and software engineers, taking charge of allfacetsof AI Products Design, Build,optimize, fine-tune Generative AI/LLM models/AI Solutions that can be integrated withnumerousapplications, support thousands of tenants, andoperateat scale in production to support variousPaypalAI Personalization initiatives Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporatingstate-of-the-artmachine learning techniques, tools, and frameworks into the platform. Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Collaborate with cross-functional teams including product managers, data scientists, and software engineers and stakeholders to define platform requirements and priorities. Develop and evolve engineering processes and collaboration models tooptimizeteam efficiency and collaboration Mentor team members,providetechnical guidance, and foster a culture of collaboration, innovation, and continuous learning. Stay up to date with the latest advancements in AI/ML technology and industry trends andleveragethis knowledge to enhance the platforms capabilities What Do You NeedtoBring Qualifications Proven experience in leading or managing machine learning/AI teams, witha track recordof building successful AI solutions and productizing ML Models, Features Stores Solidtrack recordof over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform products. Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technicalexpertisein one or more of the above-mentioned areas or equivalent practical experience. Experience developing Gen AI applications/services usingPrompt Engineering, LLMs, and fine-tuning methodsfor sophisticated business use caseswithlarge amountsof unstructured data. Strong background in deep learning techniques, particularly in NLP and Vision Proficiencyin multiple Programming/scripting languages,i.e.Python, Java, Scala,SQL, NoSQL (like HBase, Redis, Aerospike) Strongproficiencyin machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Expertisein buildingMLpipelines with Big Data technologies such as Hadoop, Spark, HBase, Kafka. Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential. Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph Strong background in MLOps and experimentation frameworks Extensive experience with concurrent, parallel, and distributed computing, including performance tuning and optimization for large-scale applications

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

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-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. 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.

Job Category Software Engineering Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Role Description Join the AI team at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organisations. We work in a highly collaborative environment, and you will partner with a highly cross functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our innovative new AI framework. We value execution, clear communication, feedback and making learning fun. Your impact - You will: Architect, design, implement, test and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc.) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps Analyze and provide feedback on product strategy and technical feasibility Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Actively communicate with, encourage and motivate all levels of staff. Be a domain expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements Troubleshoot complex production issues and work with support and customers as needed Drives long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Required Skills: 14+ years of experience in building highly scalable Software-as-a-Service applications/ platform Experience building technical architectures that address complex performance issues Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt Deep knowledge of object oriented programming and experience with at least one object oriented programming language, preferably Java Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.) Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium Demonstrated ability to drive long-term design strategies that span multiple complex projects Experience delivering technical reports and presentations to customers and at industry events Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues Experience with the full software lifecycle in highly agile and ambiguous environments Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management and/or client SDKs development Experience with machine learning or cloud technology platforms like AWS sagemaker, terraform, spinnaker, EKS, GKE Experience with AI/ML and Data science, including Predictive and Generative AI Experience with data engineering, data pipelines or distributed systems Experience with continuous integration (CI) and continuous deployment (CD), and service ownership Familiarity with Salesforce APIs and technologies Ability to support/resolve production customer escalations with excellent debugging and problem solving skills BENEFITS & PERKS Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more! World-class enablement and on-demand training with Exposure to executive thought leaders and regular 1:1 coaching with leadership Volunteer opportunities and participation in our 1:1:1 model for giving back to the community For more details, visit Accommodations If you require assistance due to a disability applying for open positions please submit a request via this . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Job Title: Data & GenAI AWS Specialist Experience: 1-4 Years Location: Bangalore Mandatory Qualification: B.E./ B.Tech/ M.Tech/ MS from IIT or IISc ONLY Job Overview: We are seeking a seasoned Data & GenAI Specialist with deep expertise in AWS Managed Services (PaaS) to join our innovative team. The ideal candidate will have extensive experience in designing sophisticated, scalable architectures for data pipelines and Generative AI (GenAI) solutions leveraging cloud services. Key to this role is the ability to articulate architecture solutions clearly and effectively to customers, helping them conceptualize and implement advanced GenAI-driven applications tailored precisely to their business requirements. Responsibilities: Engage closely with customers to thoroughly understand their business challenges, translate their requirements into comprehensive architecture solutions, and effectively communicate intricate technical details. Architect and oversee the design, development, and deployment of scalable, resilient data processing pipelines utilizing AWS/ Azure/ GCP/ Snowflake/ open Source services. Lead the architectural design and implementation of robust GenAI systems, leveraging AWS foundational models and frameworks including Amazon Bedrock, AWS Inferentia, Amazon SageMaker, and Amazon Kendra. Collaborate with internal and customer teams to align architectural strategies with business objectives, ensuring adherence to AWS best practices. Optimize and refine data architectures to effectively handle large-scale GenAI workloads, prioritizing performance, scalability, and robust security. Document and promote architectural best practices in data engineering, pipeline architecture, and GenAI development within AWS environments. Stay abreast of emerging architectural trends, innovative technologies, and advancements in AWS and GenAI ecosystems to ensure solutions remain cutting-edge and efficient. Have a keen sense of maximising and extending the AWS investments already done by the clients, instead of a rip and replace mentality. Qualifications: B.Tech/ MS/ M.Tech degree in Computer Science, Data Science, AI, or related technical fields Knowledge of architecting and building data pipelines and GenAI solutions specifically on AWS. Expert-level proficiency in AWS architectural patterns and services, including AWS Glue, Lambda, EMR, S3, and SageMaker. Why Join Us: Be at the forefront of cutting-edge GenAI and AWS cloud architectural innovation, working on the AI Lab. Thrive in a collaborative, dynamic, and supportive team environment. Continuous learning and growth opportunities.

Job Title: Data Scientist(5 Positions)/ Lead OR Manager -Data Scientist (3 positions) Experience: Data scientist (8-10 years) / Lead Data scientist(14+ years) Job Location: Whitefield, Bangalore Mode of working: Hybrid Interview Process: First Round: L1-Internal interview Second Round: Assessment shared by us needs to be completed in 48 hours Third Round: Client discussion over the submitted assessment. Final Round: HR Discussion Preferred Domain: Healthcare Insurance/ Insurance agencies / Health Insurance / Any Insurance We are looking for a talented Data Scientist to join our growing team. In this role, you will lead efforts to develop, enhance, and optimize advanced AI and machine learning models with a particular focus on Generative AI, Large Language Models (LLMs), Langchain, and Prompt Engineering. You will oversee the application of statistical modeling techniques to derive insights, build models, and lead research initiatives that push the boundaries of AI technologies. Key Responsibilities: Leadership & Collaboration: Lead a team of data scientists, researchers, and engineers working on high-impact projects related to generative models, NLP, and statistical modeling. Collaborate with cross-functional teams, including engineering, product management, and research, to deliver AI-powered products and solutions. Generative AI Development: Spearhead the development and deployment of Generative AI models and algorithms to address complex problems in areas like content generation, conversational AI, and creative automation. LLM Implementation & Optimization: Develop, fine-tune, and optimize large language models (LLMs) for diverse applications, ensuring they are robust, scalable, and accurate in real-world scenarios. Langchain Integration: Design and integrate Langchain for managing and deploying sophisticated language models with a focus on complex workflows, multi-agent systems, and real-time applications. Prompt Engineering: Lead prompt engineering efforts to optimize AI models' output quality, improve interactions, and enable more effective natural language understanding across a variety of use cases. Statistical Modeling: Utilize advanced statistical techniques to analyze and interpret data, build predictive models, and solve business-critical challenges through data-driven insights. Research & Innovation: Stay ahead of trends in AI and ML, particularly in the fields of NLP, LLMs, and generative models. Drive innovation by exploring cutting-edge techniques and methodologies in the AI space . Mentorship & Knowledge Sharing: Mentor junior team members and promote a collaborative, learning-oriented environment. Share knowledge and foster an atmosphere of continuous improvement within the data science team. Performance Optimization: Ensure model performance meets or exceeds company and client expectations by identifying areas of improvement, testing new methods, and scaling the systems accordingly. Ethical AI Development: Advocate for and implement ethical considerations in the development and deployment of AI models, including fairness, transparency, and privacy. Qualifications: Required: Education: Ph.D. or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or related field, or equivalent practical experience. Experience: 8+ years of experience in data science, with at least 2-3 years in a leadership role. Proven expertise in Generative AI, particularly in areas like content generation, deep learning, and language modeling. Strong background in Large Language Models (LLMs) such as GPT, T5, BERT, or similar architectures. Hands-on experience with Langchain for building NLP workflows, pipelines, and integrating external systems with LLMs. Hands-on experience of Prompt Engineering, including techniques to refine and optimize outputs for various NLP tasks. Expertise in statistical modeling and quantitative analysis, with the ability to apply techniques to solve real-world problems. Preferred: Experience working with transformer models and fine-tuning LLMs for specific tasks. Expertise in AI model evaluation and metrics (e.g., BLEU, ROUGE, perplexity). Background in developing AI-driven products from concept to deployment. Strong publication record in AI research, particularly in NLP and machine learning . Used cases( Any of them) Automated Underwriting. Customer experience enhancement. Fraud detection . Predictive analytics. Accelerated claims processing. Risk assessment and premium calculation . Customer profiling . c ustomer segmentation . Credit Risk Assessment . Personalised marketing . Anti-Money Laundering (AML) . Personalized patient care. Medical training and simulations. Medical Data Analysis. Please share your updated resume at renuka.rathi@puresoftware.com

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Responsibilities: - Contribute and build an internal product library that is focused on solving business problems related to prediction & recommendation. Research unfamiliar methodologies, techniques to fine tune existing models in the product suite and, recommend better solutions and/or technologies. Improve features of the product to include newer machine learning algorithms in the likes of product recommendation, real time predictions, fraud detection, offer personalization etc Collaborate with client teams to on-board data, build models and score predictions. Participate in building automations and standalone applications around machine learning algorithms to enable a One Click solution to getting predictions and recommendations. Analyze large datasets, perform data wrangling operations, apply statistical treatments to filter and fine tune input data, engineer new features and eventually aid the process of building machine learning models. Run test cases to tune existing models for performance, check criteria and define thresholds for success by scaling the input data to multifold. Demonstrate a basic understanding of different machine learning concepts such as Regression, Classification, Matrix Factorization, K-fold Validations and different algorithms such as Decision Trees, Random Forrest, K-means clustering. Demonstrate working knowledge and contribute to building models using deep learning techniques, ensuring robust, scalable and high-performance solutions Minimum Qualifications: Education: Master's or PhD in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science) is highly preferred. Deep Learning Mastery: Extensive experience with deep learning frameworks (TensorFlow, PyTorch, or Keras) and advanced deep learning projects across various domains, with a focus on multimodal data applications. Generative AI Expertise: Proven experience with generative AI models and techniques, such as RAG, VAEs, Transformers, and applications at scale in content creation or data augmentation. Programming and Big Data: Expert-level proficiency in Python and big data/cloud technologies (Databricks and Spark) with a minimum of 4-5 years of experience . Recommender Systems and Real-time Predictions: Expertise in developing sophisticated recommender systems, including the application of real-time prediction frameworks. Machine Learning Algorithms: In-depth experience with complex algorithms such as logistic regression, random forest, XGBoost, advanced neural networks, and ensemble methods. Experienced with machine learning algorithms such as logistic regression, random forest, XG boost, KNN, SVM, neural network, linear regression, lasso regression and k-means. Desirable Qualifications: Generative AI Tools Knowledge: Proficiency with tools and platforms for generative AI (such as OpenAI, Hugging Face Transformers). Databricks and Unity Catalog: Experience leveraging Databricks and Unity Catalog for robust data management, model deployment, and tracking. Working experience in CI/CD tools such as GIT & BitBucket

Role & responsibilities Proficient in backend development using Python and Node.js. Strong experience with frontend frameworks using React or Angular. Hands-on knowledge and experience with Microsoft Azure cloud services, including Azure Foundry, Functions, Blob, and container tools such as Azure Kubernetes. Ability to design and manage data pipelines ensuring high-quality data is available for AI model training and deployment. Experience working with structured and unstructured data that span across SQL databases and NoSQL databases such as MongoDB or CosmosDB. Experience with various AI tools like LangChain, Autogen, and LangGraph. Proficient with API development and management. Experience building and working with CI/CD pipelines and version control tools like GIT. Experience developing and delivering event driven architectures. Experience in using and implementing open-source large language models such as Llama, Mistral, and assorted embedding models

We are looking for a Senior Generative AI Engineer who is passionate about cutting-edge AI innovation and has significant hands-on experience in building and deploying Generative AI models. In this role, you will be responsible for designing, fine-tuning, and optimizing large language models (LLMs), implementing innovative GenAI solutions, and contributing to the architecture of AI-driven platforms that deliver real business value. You will collaborate with cross-functional teams including data scientists, machine learning engineers, product managers, and cloud infrastructure teams to build scalable, reliable, and secure AI systems. This is a high-impact position where you will directly influence the AI roadmap and innovation strategy. Key Responsibilities : - Design, develop, and fine-tune state-of-the-art Generative AI and LLM models tailored for various business use cases. - Build, integrate, and optimize solutions using transformer-based architectures (e.g., GPT, BERT, T5, LLaMA, Mistral). - Apply techniques such as fine-tuning, prompt engineering, RLHF (Reinforcement Learning from Human Feedback), and knowledge distillation to improve model performance. - Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for implementing retrieval-augmented generation (RAG) pipelines. - Develop and deploy embedding models and integrate them into LLM pipelines. - Collaborate with engineering and product teams to deploy scalable AI systems using MLOps practices and CI/CD pipelines. - Leverage LangChain, Hugging Face Transformers, OpenAI APIs, and similar frameworks/tools to accelerate development. - Optimize model performance across different environments (cloud/on-premise). - Develop end-to-end pipelines, from data preprocessing to real-time inference and monitoring. - Ensure high standards of software quality, including testing, version control, code reviews, and documentation. - Stay up to date with the latest research in Generative AI and translate breakthroughs into production-ready solutions. Required Skills & Qualifications : - Experience : 7+ years in AI/ML, data science, or software engineering; at least 3 - 4 years in Generative AI/LLMs. - Advanced Python programming skills, including familiarity with object-oriented design and software engineering best practices. - Deep expertise in PyTorch, TensorFlow, Transformers (Hugging Face), LangChain, and OpenAI or Anthropic APIs. - Experience in LLM fine-tuning, parameter-efficient tuning methods (LoRA, PEFT), RLHF, and model evaluation. - Experience with embeddings, vector stores (FAISS, Pinecone), semantic search, and RAG systems. - Hands-on experience with AWS, GCP, or Azure; knowledge of MLOps tools (SageMaker, Vertex AI, MLflow, Kubeflow) for training, deploying, and monitoring models. - Familiarity with structured/unstructured data handling and integrating AI systems with SQL/NoSQL databases. - Strong analytical thinking, problem-solving ability, and a keen interest in research and innovation.

Job Summary: We are seeking a highly skilled and hands-on AI Engineer with 3+ years of proven experience in building and deploying solutions using Generative AI and Large Language Models (LLMs). You will work on cutting-edge applications leveraging transformer-based architectures, fine-tuning, prompt engineering, and scalable AI deployments. This role is ideal for engineers passionate about AI research and real-world productization of generative AI technologies. Key Responsibilities: Design, develop, and deploy solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude, PaLM, etc.) for various NLP and content generation tasks. Work on fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) pipelines. Integrate LLMs into enterprise applications with APIs and orchestrate workflows using Python, LangChain, or similar frameworks. Optimize model performance, latency, and cost for production use. Collaborate with data scientists, MLOps engineers, and product managers to deliver scalable AI features. Conduct experiments, analyze results, and publish internal findings or contribute to whitepapers. Ensure ethical, secure, and responsible use of AI technologies in all implementations. Required Skills & Experience: 3+ years of hands-on experience working with Generative AI, LLMs, and NLP technologies. Strong programming skills in Python and experience with libraries like Transformers (Hugging Face), LangChain, PyTorch, TensorFlow, etc. Proven track record of fine-tuning LLMs, developing embeddings, and working with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models on cloud platforms (AWS, Azure, GCP) and using ML pipelines or MLOps tools. Solid understanding of deep learning, NLP architectures, tokenization, and evaluation metrics for generative models. Experience in API development and integration of LLMs into user-facing applications. Preferred Qualifications: Masters or PhD in Computer Science, AI/ML, Data Science, or related field. Experience with OpenAI APIs, Anthropic, Cohere, or open-source LLMs (e.g., Mistral, Falcon, LLaMA 3). Understanding of RLHF (Reinforcement Learning from Human Feedback) and model alignment techniques. Contributions to open-source AI projects or publications in GenAI/LLM.

Role Purpose The purpose of this role is to develop minimum viable product (MVP) and comprehensive AI solutions that meet and exceed clients expectations and add value to business. Do Manage the product/ solution development using the desired AI techniques Lead development and implementation of custom solutions through thoughtful use of modern AI technology Review and evaluate the use cases and decide whether a product can be developed to add business value Create the overall product development strategy and integrating with the larger interfaces Create AI models and framework and implement them to cater to a business problem Draft the desired user Interface and create AI models as per business problem Analyze technology environment and client requirements to define product solutions using AI framework/ architecture Implement the necessary security features as per products requirements Review the used case and see the latest AI that can be used in products development Identify problem areas and perform root cause analysis and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future AI needs Create and delegate work plans to the programming team for product development Interact with Holmes advisory board for knowledge sharing and best practices Responsible for developing and maintaining client relationships with the key strategic partners and decision makers Drive discussions and provide consultation around product design as per customer needs Participate in client interactions and gather insights regarding product development Interact with vertical delivery and business teams and provide and correct responses to RFP/ client requirements Assist in products demonstration and receive feedback from the client Design presentations for seminars, meetings and enclave primarily focused over product Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Deliver No.Performance ParameterMeasure1.Continuous technical project management & deliveryAdoption of new technologies, IP creation, MVP creation, Number of patents filed, Research papers created2.Client CentricityNo. of automation done, On-Time Delivery, cost of delivery, optimal resource allocation3.Capability Building & Team Management% trained on new age skills, Team attrition %, Number of webinars conducted (internal/external) Mandatory Skills: Generative AI. Experience: 5-8 Years.

ABOUT THE ROLE Role Description: The UI Developer is responsible for designing, developing, and maintaining user interfaces for software applications and solutions that meet business needs. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions. Roles & Responsibilities: Take ownership of complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline. Possess strong rapid prototyping skills and can quickly translate concepts into working code. Contribute to front-end development using cloud technology. Develop innovative solutions using generative AI technologies. Conduct code reviews to ensure code quality and adherence to best practices. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements in UI development. Work closely with the product team, business team, and other stakeholders. Design, develop, and implement user interfaces and modules, including custom reports, interfaces, and enhancements. Analyze and understand the functional and technical requirements of applications, solutions, and systems and translate them into software architecture and design specifications. Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software. Identify and resolve software bugs and performance issues. Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time. Maintain detailed documentation of software designs, code, and development processes. Customize modules to meet specific business requirements. Work on integrating with other systems and platforms to ensure seamless data flow and functionality. Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently. Develop intuitive and responsive user interfaces (UIs) that enable users to efficiently interact with multiple datasets, leveraging modern front-end frameworks and libraries. Collaborate with UX designers to translate design mockups and wireframes into interactive and visually appealing user interfaces. Implement UI animations and transitions to enhance the user experience and provide feedback to users. Optimize UI performance by identifying and addressing bottlenecks, ensuring smooth and fast interactions. Ensure accessibility standards are met, making the UI usable for people with disabilities. Participate in Agile ceremonies (Daily Scrum/Refinement/Retro) to partner with the product owner and team to discuss, set, and deliver two-week developmental goals. Keep abreast of technology upgrades and advancements and provide recommendations to improve process efficiencies. Basic Qualifications and Experience: Masters degree and 1 to 3 years of experience in Computer Science, IT, or a related field OR Bachelors degree with 3 - 5 years of experience in Computer Science, IT, or a related field OR Diploma with 7 - 9 years of experience in Computer Science, IT, or a related field Functional Skills: Must-Have Skills: Strong knowledge of information systems and network technologies. Proficiency in programming languages such as JavaScript (preferred), HTML/CSS. Strong understanding of software development methodologies, including Agile and Scrum. Experience with version control systems like Git. Experience with front-end frameworks such as React.js or Angular.js. Experience with responsive and adaptive design principles. Knowledge of UI/UX best practices and design patterns. Experience with UI testing frameworks such as Jest, Enzyme, or Cypress. Experience with modern front-end frameworks and libraries (e.g., React, Node.js), and expertise in building responsive and user-friendly UIs. Good-to-Have Skills: Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker). Experience with monitoring and logging tools (e.g., Prometheus, Grafana). Experience with data processing tools like Hadoop or similar. Experience with UI performance optimization techniques. Familiarity with accessibility standards and tools for testing accessibility. Knowledge of data governance principles and familiarity with Great Expectations for data validation. Hands-on experience building data pipelines using applications like Databricks. Solid grasp of infrastructure as code, developing and operating programmatic pipelines for cloud services, and using automated DevSecOps frameworks to run a cloud SDLC. Knowledge or experience in basic DevOps support and deployment including Docker, Kubernetes, CICD, etc. Professional Certifications: Relevant certifications such as CISSP, CompTIA Network+, or MCSE (preferred). Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

Were hiring a Generative AI Trainer ( Full-time & Freelance ) to lead engaging training sessions and guide learners through real-world AI applications. Youll be teaching the latest in Gen AI tools like LLMs, Prompt Engineering, Lang Chain , and more. Key Responsibilities: Deliver structured offline and online training on Generative AI topics Teach concepts including LLMs, Prompt Engineering, Lang Chain, Hugging Face , etc. Support learners with project work, queries, and assessments Create and update training material, hands-on exercises, and case studies Ensure high engagement and learner satisfaction Stay up-to-date with latest AI research and industry practices Key Skills Required: Strong expertise in Python , Machine Learning , and Deep Learning Practical experience with Large Language Models (GPT, Llama, etc.) , NLP , and RAG Knowledge of Lang Chain, Hugging Face, Transformers , and Prompt Engineering Familiarity with Flask/Django , SQL , and Tableau is a plus Hands-on experience with real-time AI/ML/Gen AI projects is a must Strong communication skills and a passion for teaching

Your Role & Responsibilities: Looking to make a significant impact This is your chance to become a key part of a dynamic team of talented professionals, leading the development and deployment of innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Software Engineering Manager to join us. This leadership role focuses on guiding, mentoring, and managing a team of engineers in designing, developing, and deploying AI-based services. You will be instrumental in problem-solving, automating wide ranges of tasks, and interfacing with other teams, offering managers, and customers to solve complex problems. You will build a strong, agile, and modern team culture aimed at creating world-class development and deployment environments. Your efforts will ensure industry-leading user experiences for our customers. As an essential part of the leadership team, you will contribute to the cloud services architecture and design while mentoring the next generation of cloud engineers. Responsibilities : Lead, mentor, and manage a team of AI and cloud software engineers. Oversee the planning, execution, and delivery of AI-based services and cloud solutions. Provide technical direction and architectural oversight for AI and cloud projects. Interface with other teams, managers, and customers to align project goals and deliverables. Address and resolve technical challenges and roadblocks faced by the team. Monitor and evaluate team performance, providing feedback and development opportunities. Stay updated with the latest trends in AI and cloud technologies to encourage continuous improvement. Ensure the delivery of industry-leading user experiences for customers. Allocate resources effectively to meet project and organizational goals. Maintain comprehensive documentation of projects and processes, and report progress to senior management. Required education Bachelor's Degree Required technical and professional expertise Minimum 12-15 years of experience as Full Stack Developer with a focus on AI projects Experience with AI and machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, LLMs, Generative AI. Familiarity with AI model deployment and integration. Solid understanding of backend technologies, including server-side languages (Node.js, Python, Java, etc.) and databases (Cassandra, PostgreSQL, etc.). Understanding and experience with RESTful APIs, Java/J2EE, Kafka & GitHub. Strong experience with Cloud Technologies, Kubernetes based microservices architecture, Kafka, Object Storage, Cassandra database and docker container technologies. Knowledge on IBM Cloud Technologies will be an added advantage. At least 6 years of hands-on development experience building applications with one or more of the following: Java, Spring, Liberty, Node.js, Express.js, Golang, NoSQL DB, Redis, distributed caches, containers etc., At least 3 years of experience in building and operating highly secured, distributed cloud services with one or more of the following: IBM Cloud, AWS, Azure, SRE, CI/CD, Docker, Container orchestration, performance testing, etc., At least 3 years of experience in web technologies: HTTP, REST, JSON, HTML, Ajax, JavaScript etc., Solid understanding of the micro-services architecture and modern cloud programming practices. Strong ability to design a clean, developer-friendly API. Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred technical and professional experience Preferred Skills: Experience in using messaging brokers like RabbitMQ, Kafka etc. Operating Systems (such as Red Hat, Ubuntu, etc.) Knowledge of network protocols such as TCP/IP, HTTP, etc. Experience and working knowledge of version Control systems like Github and build tools like Maven/Gradle Ability to learn and apply new technologies quickly Experience in working on a SaaS application with high industry standard CI/CD, and development cycle processes Strong sense of ownership of deliverables UI test automation skills - Selenium and/or Puppeteer Beyond the requirements, candidates should be passionate about in the role: Continuous learning and ability to adapt to change Working across global teams and collaborating across teams and organization boundaries Finding innovative ways to solve complex problems with cutting edge technologies.

Job description We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Bangalore Whitefield office. Date - 14th June 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree Bangalore Whitefield Office Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Senior Backend Developer Experience: 4 - 8 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Ahmedabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, JS, MLOps, Microservices, SQL, DevOps, Generative AI Good to have skills : AWS, Azure Attri (One of Uplers' Clients) is Looking for: Senior Backend Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Our engineering team is growing and we are looking to bring on board a Senior Backend Developer who can help us transition to the next phase of the company. You will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process. A must have well verse understanding of software paradigm, and curiosity to carve out designs of varying ML, MLOps, and LLMOps problem statements. You will determine to lead your team into right direction towards very end of implementation for underlined project. By joining our team, you will get exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area. Responsibilities: Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans. Take ownership of converting product insights into detailed engineering requirements. Work break-down among team, and orchestrating the development of components for each sprint. Very well verse with solution designing, and documentation (HLD/LLD). Developing "Zero Defect Software" with extreme efficiency by utilizing modern cutting-edge tools (ChatGPT, Co-pilot etc). Adapt, and impart the mindset to build a unit of software that is secured, instrumented, and resilient. Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers. Continually evaluate and improve DevOps processes for a cloud-native codebase. Strong design skills in defining API Data Contracts / OOAD / Microservices / Data Models and Concurrency concepts. An ardent leader with an obsession for quality, refinement, innovation, and empowering leadership. Qualifications: Work Experience 5-7 years of experience with hands-on experience with development of full fledge Systems/Micro-services using Python, or JS programming. 3+ years experience having Senior engineering responsibilities. 3+ years of people mentorship/leadership experience managing engineers preferably with good exposure in leading multiple development teams. 3+ years of experience in object-oriented design, and agile development methodologies. Basic experience in developing/deploying cloud-native software using GCP / AWS / Azure. Proven track record building large-scale Product grade (high-throughput, low-latency, and scalable) systems. A well-versed understanding and designing skills of SQL/NoSQL/OLAP DBs. Up-to date with modern cutting-edge technologies to boost efficiency and delivery of team. (Bonus: To have an understanding of Generative AI frameworks/Libraries such RAG, Langchain, LLAMAindex etc.) Skills Strong documentation skills. As a team, we heavily rely on elaborate documentation for everything we are working on. Ability to take authoritative decision, and hold accountability. Ability to motivate, lead, and empower others. Strong independent contributor as well as a team player. Working knowledge of ML and familiarity with concepts of MLOps You will excel in this role if You have a product mindset. You understand, care about, and can relate to our customers. You take ownership, collaborate, and follow through to the very end. You love solving difficult problems, stand your ground, and get what you want from engineers. Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Attri, an AI organization, leads the way in enterprise AI, offering advanced solutions and services driven by AI agents and powered by Foundation Models. Our comprehensive suite of AI-enabled tools drives business impact, enhances quality, mitigates risk, and also helps unlock growth opportunities. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Design, develop, and maintain Conversational AI models including Chat BOTs. Develop robust unit and integration tests using testing frameworks/ manual to guarantee code quality and application stability. Expertly debug and troubleshoot complex application issues. Integrate Gen AI capabilities to enhance the product efficiency and effectiveness. Proven experience building Conversational AI models / Chat BOTs using Kore.ai platform. In depth understanding of Gen AI capabilities Proficiency in unit testing frameworks. Experience in Data Analytics and Python Exceptional problem solving and debugging skills. Excellent communication and collaboration skills. Experience in Agile Scrum practice. Experience in JIRA and Confluence Ability to work independently and manage multiple tasks effectively while contributing to a team environment.

We are seeking a talented Java backend Software Engineer with expertise in software engineering to join our team. As a Full Stack Software Engineer, your primary responsibility will be to develop & integrate Generative AI solutions that focus on technology improvements. Specifically, you will be working on projects involving Generative AI solutions for Technology Assistants & Data Management Efficiencies and will contribute for Java backend development such as IDE plugins Data Connections & Integrators. Responsibilities : - Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI. - Write clean, high-performance, high-quality, maintainable code. - Create connectors to various Content and Collaboration tools using tool specific API's such as Jira, Slack, Git etc - Create backend applications using Java, docker & in-house frameworks to orchestrate AI applications - Design and develop Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions. - Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs. - Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications. Requirements: - A Master's or Ph.D. degree in Computer Science or a related field. - Proven experience working as a Software Engineer, with a focus on Java, and exposure to Generative AI Applications such as chatGPT. - Strong proficiency in programming languages such as Java, Kotlin, Scala etc ( Mandatory) - Experience or Exposure in creating IDE Plugins for PyCharm, VS Code, IntelliJ & Web Consoles ( Nice to have ) - Experience in python and data pipelines ( nice to have) - Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies. - Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Nice to have ) - Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders. - Proven ability to adapt and learn new technologies and frameworks quickly. - A proactive mindset with a passion for continuous learning and research. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Develop and maintain responsive web applications using ReactJS Manage application state using React Hooks or Redux Toolkit Integrate and consume RESTful APIs for frontend-backend communication Implement quality assurance best practices including validations and error handling Collaborate using Git and manage workflows through CI/CD pipelines Work with the team on repository setup and code management Collaborate with backend developers to integrate database systems Contribute to Gen AI feature integrations and enhancements Ensure performance optimization and code scalability Primary Skills: Proficient in Full Stack Development/UI development with ReactJS Strong experience with API integrations State management using React Hooks or Redux Toolkit Familiarity with QA processes, validations, and automated deployment using CI/CD tools Solid understanding of Git workflows and version control Secondary Skills: Working knowledge of Generative AI concepts and applications Experience with repository creation and codebase setup Exposure to backend database integration (e.g. PostgreSQL, OpenSearch etc.) Familiarity with Node.js or backend frameworks is a bonus

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Senior Lead with 11+ Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Roles & Responsibilities: Client Interaction: Collaborate with clients to understand business needs and define AI solutions. Solution Design: Develop AI architectures addressing client objectives and technical requirements. Metrics Definition: Define success criteria and measurable KPIs with stakeholders. Technical Implementation: Guide teams in deploying AI solutions efficiently. Performance Monitoring: Ensure AI model accuracy and recommend improvements as needed. Client Collaboration: Act as the main point of contact between clients and internal teams. Knowledge Sharing: Keep up with Generative AI advancements and contribute insights. Documentation: Maintain detailed technical reports and project records. Solution Design & Communication: Ability to design end-to-end AI solutions, from requirement elicitation to deployment strategy. Experience in architecting systems including data preprocessing, model integration, and optimization. Excellent verbal and written communication skills for client engagement and stakeholder Your Profile Technical Proficiency: Machine Learning Algorithms: Linear/logistic regression, decision trees, random forests, SVMs, neural networks. Data Science Tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras. Cloud Platforms: AWS, Azure, GCP. Natural Language Processing (NLP): Transformer models, attention mechanisms, word embeddings. Computer Vision: CNNs, RNNs, object detection. Robotics: Reinforcement learning, motion planning, control systems. Data Ethics & Responsible AI: Strong understanding of bias in ML, algorithmic fairness, ethical data handling, and transparency. Solution Design & Communication: Ability to design end-to-end AI solutions, from requirement elicitation to deployment strategy. Experience in architecting systems including data preprocessing, model integration, and optimization. Excellent verbal and written communication skills for client engagement and stakeholder presentations. Secondary Skill Set: Domain Knowledge: Understanding of industry applications (healthcare, finance, manufacturing). Project Management: Ability to oversee timelines, milestones, and deliverables, coordinating cross-functional teams. Data Understanding: Strong grasp of feature engineering, preprocessing, and quality assurance.

Join us for an exciting SDE Traineeship at Meesho. Based on the performance at Meesho, successful candidates will be considered for a full-time opportunity (FTE). The FTE salary offered will be INR 20,00,000 p.a. fixed + Benefits . Position: Software Development Engineer - Trainee Location : Bengaluru 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.

Design & develop end-to-end machine learning models & GenAI workflows Fetch & process data from BigQuery & various sources for model development Build & deploy models using Python & frameworks like Scikit Learn, XGBoost/CatBoost, TensorFlow & Gemini Required Candidate profile 4+ years of experience in the Data Science domain and should have hands on exp in Python, Machine Learning and/or Generative AI (Artificial Intelligence) This is an Individual contributor role

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking an 6 Years of IT industry experience in which 2/3 years should be in AI/ML/DS domain, including Gen AI technologies. We are seeking an accomplished Generative AI Technical Lead to spearhead the development, implementation, and optimization of Generative AI solutions. As the Lead Developer, you will play a pivotal role in prompt engineering, pipeline creation, workflow establishment, and ensuring the quality of the technical outputs generated by the team. This role requires strong technical expertise in Generative AI, hands-on experience in development, and the ability to lead and guide a team effectively. Primary Skill Set: Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Your Profile Roles & Responsibilities: Technical Leadership: Lead a team of developers in the creation, implementation, and optimization of Generative AI solutions. Provide technical guidance, resolve challenges, and foster a collaborative environment. Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.