Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes. Take offline models data scientists build and turn them into a real machine learning production system. Automate the training, testing and deployment processes for machine learning models. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability. Implement best practices for version control, model reproducibility and governance. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness. Troubleshoot and resolve issues related to model deployment and performance. Ensure compliance with security and data privacy standards in all MLOps activities. Keep up-to-date with the latest MLOps tools, technologies and trends. Provide support and guidance to other team members on MLOps practices. Communicate with a team of data scientists, data engineers and architect, document the processe Experience in designing and implementing pipelines MLOps on AWS, Azure, or GCP. Hands on building CI/CD pipelines orchestration using TeamCity, Jenkins, Airflow or similar tools. Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientist and experience with software development and test automation. Fluent in English, good communication skills and ability to work in a team.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of AI-driven applications and systems.- Collaborate with team members to troubleshoot and resolve technical issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 2 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Experience in CI/CD pipelines, scripting languages, and a deep understanding of version control systems (e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience in 4+ years of experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges

Role Overview : Hiring an ML Engineer with experience in Cloudera ML to support end-to-end model development, deployment, and monitoring on the CDP platform. Key Responsibilities : Develop and deploy models using CML workspaces Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools Enable secure model serving via REST APIs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Skills Required : Experience in Cloudera ML, Spark MLlib, or scikit-learn ML pipeline automation (MLflow, Airflow, or equivalent) Model governance, lineage, and versioning API exposure for real-time inference

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.

Company Description At CentoCode, we're passionate about leveraging technology to empower businesses and individuals alike. As a leading IT solutions provider, we specialize in delivering cutting-edge digital solutions tailored to meet the unique needs of our clients. Our focus is on innovation and excellence, ensuring that we stay ahead in the constantly evolving tech landscape. Role Description This is a full-time on-site role for an Artificial Intelligence Engineer located in Gurugram. The Artificial Intelligence Engineer will be responsible for developing and implementing AI models, working with neural networks, pattern recognition, and natural language processing (NLP). Daily tasks include software development, model training, and continuous optimization of AI algorithms. Qualifications Proficiency in Pattern Recognition and Neural Networks Strong background in Computer Science and Software Development Experience with Natural Language Processing (NLP) Experience with Deep Learning, Machine Learning Models image recognition , classification, object detection, and numerical data prediction. Experience with OpenCV, GANN, CIFAR, ImageNET etc Experience with FastAPI, TensorFlow, PyTorch, Keras etc Excellent problem-solving and analytical skills Ability to work collaboratively in a team environment Master's degree or higher in Computer Science, Engineering, or related field Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Title-Senior Developer Overall Years of Experience-3 to 5 years Relevant Years of Experience-3+ Technical Lead: The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning. Position Summary 3+yrs of experience in a similar profile with strong service delivery background Lead and guide a team of Junior Developers. Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings. Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning. Plan and implement version control of source control Define and implement best practises for software development Excellent computer skills - proficient in excel, PowerPoint, word and outlook Excellent interpersonal skills and a collaborative management style Ability to analyse and suggest solutions Strong command on verbal and written English language Roles and Responsibilities Essential Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production. Solid understanding and experience of deep learning architectures and algorithms Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc. Should have experience of 2-3 production implementation of machine learning projects. Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch Work with business analysts/consultants and other necessary teams to create a strong solution Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc. Skills in Java/C are a plus Should developing solutions using python in AI/ML projects Should be able to train and build a team of technical developers Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC Desired to have knowledge on any of the cloud solutions such as Azure or AWS Desired to have knowledge on any of container technology such as Docker Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders Should be able to build strong relationship with project stakeholders EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Requirements Phenom Intro : Our purpose is to help a billion people find the right work! Phenom is an AI-Powered talent experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal! What You’ll Do: Design, develop, and implement machine learning algorithms and models to improve our products and services Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Conduct research and stay updated with the latest advancements in machine learning to continuously improve our products Analyze and interpret large datasets to identify patterns and insights that can be used to enhance our products Develop and maintain machine learning pipelines and workflows Work closely with product managers, designers, and other engineers to ensure timely and high-quality delivery of features and enhancements Participate in code reviews and provide constructive feedback to improve code quality and maintainability Troubleshoot and resolve technical issues related to machine learning models and algorithms Document and communicate technical solutions and processes to team members and stakeholders. Work Experience What You’ve Done: Bachelor's or Master's degree in Computer Science, Engineering, or a related field Minimum of 4-5 years of experience in developing and implementing machine learning algorithms and models Strong understanding of machine learning concepts and techniques such as supervised and unsupervised learning, deep learning, and natural language processing Proficiency in programming languages such as Python, Java, or C++ Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch Knowledge of data processing and analysis tools such as SQL, Spark, or Hadoop Excellent problem-solving and analytical skills Strong communication and collaboration skills Ability to work in a fast-paced and dynamic environment. Benefits We want you to be your best self and to pursue your passions! Benefits/programs to support holistic employee health Flexible hours and working schedules Growing organization with career pathing and development opportunities Tons of perks and extras in every location for all Phenoms! Diversity, Equity, & Inclusion Our commitment to diversity runs deep! Diversity is essential to building phenomenal teams, products, and customer experiences. Phenom is proud to be an equal opportunity employer taking collective action to build a more inclusive environment where every candidate and employee feels welcomed. We recognize there is more to be done. Our teams are committed to continuous improvement until these powerful ideas are ingrained in our culture for Phenom and employers everywhere!

Oliver Wyman is a global leader in management consulting. With offices 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 7000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients’ top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC] For more information, visit www.oliverwyman.com Follow Oliver Wyman on Twitter @OliverWyman Practice Overview Practice: Data and Analytics (DNA) - Analytics Consulting Role : Associate Director - Data & Analytics. Location: Gurugram, India At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally. Our Mission and Purpose Mission: Leverage India’s high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams. Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members. The Role and Responsibilities We are looking to hire an Associate Director in Data Science & Data Engineering Track. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. You’ll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients’ locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Master’s degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background (Data Science) Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required : Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Technical Background (Data Engineering) Prior experience in designing and deploying large-scale technical solutions Fluency in modern programming languages (Python is mandatory; R, SAS desired) Experience with AWS/Azure/Google Cloud, including familiarity with services such as S3, EC2, Lambda, Glue Strong SQL skills and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data tools like Hadoop, Spark, Kafka Demonstrated knowledge of data structures and algorithms Familiarity with version control systems like GitHub or Bitbucket Familiarity with modern storage and computational frameworks Basic understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Valued but not required: Compelling side projects or contributions to the Open-Source community Prior experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Familiarity with containerization technologies, such as Docker and Kubernetes Experience with UI development using frameworks such as Angular, VUE, or React Experience with NoSQL databases such as MongoDB or Cassandra Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence Interview Process The application process will include testing technical proficiency, case study, and team-fit interviews. Please include a brief note introducing yourself, what you’re looking for when applying for the role, and your potential value-add to our team. Roles and levels In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs. Oliver Wyman is an equal-opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative, and diverse. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

JOB DESCRIPTION About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. QUALIFICATIONS • 3-5 years of hands-on experience in software development, with a focus on AI/ML, NLP, DL. Strong knowledge of AI/ML algorithms, Recommendation systems, Reinforcement Learning, Gen AI and AI Agents. Proficient in any one of the programming languages like Python or R, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc., with a strong understanding of AI compliance. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP/On-premise hosting) . Well-versed with various AI/ML libraries for managing Bias, Variance etc. Experience in FastAPI. Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift Having knowledge or an understanding of Open Source Tools such as MLFlow and Fairlearn. Having an understanding of Gen AI prompt engineering techniques such as N-Shot, Chain of thoughts, Cove, etc. Ability to stay updated with the latest AI/ML security trends and technologies. Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data n’ Analytics – Data & AI Strategy - Associate Director, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Associate Director – Data & AI Strategy. The main objective of the role is to develop and articulate a comprehensive and forward-looking Data & AI strategy that aligns with the overall business strategy and objectives. Translate business needs and opportunities into actionable data and AI initiatives. Develop and execute a roadmap for AI adoption and implementation across the organization. Identify and evaluate emerging AI technologies and their potential business applications. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline Data & AI Key Skills Strong understanding of data concepts, including data warehousing, data mining, data quality, and data governance. Familiarity with AI/ML concepts, algorithms, and applications (e.g., machine learning, deep learning, natural language processing). Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills and attributes for success 15-17 years of total experience with 10+ years in Data Strategy and architecture field 15-17 years of total experience with 7+ years in AI Strategy & implementation. Strong knowledge of data architecture, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Solid hands-on 10+ years of professional experience with creation and implementation of data science engagements and helping create AI/ML products Proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis 7+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 7+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 15 to 17 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you : We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership : We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Company Name: Camncloud Technologies Pvt. Ltd. Domain: IoT, Cloud Video Surveillance, AI/ML, VSaaS, Video Analytics Job Type: Full Time Location: Indore (MP) Work experience : 0-3 years Salary: INR 8000-35000 pm Open Positions : 2 We are looking for an enthusiastic Python Developer, to join our dynamic engineering team and help us develop and maintain various software products. Python Developer responsibilities include writing and testing code, debugging programs and integrating applications for our indigenous AI Solution. To be successful in this role, you should have experience in designing, developing, and implementing AI solution/algorithms and models for various business & security needs using computer vision. Ultimately, you’ll build highly responsive web applications that align with our business needs. Job Description Roles and Responsibilities Write effective, scalable code. Collaborate with cross-functional teams to gather requirements, design, develop, and deploy applications. Conduct testing, debugging, and troubleshooting of applications to ensure high performance and user satisfaction. Stay up-to-date with the latest industry trends and advancements in AI technology to drive innovation and improve application features and functionality. Test and debug programs Design and Train new models for A.I / M.L. needs. Improve functionality , efficiency & accuracy of existing systems Implement security and data protection solutions. Manages internal controls processes and identifies and mitigates control weaknesses. Extracts, organizes, analyses, and reports data in a manner that is useful and relevant for making business decisions. Develops broad technical and communication skills through self-study and internal and external training opportunities. Performs other job-related duties as assigned. Job Requirements: Work experience as a Python Developer 0-3 years of experience with a focus on AI technology. Strong programming skills in Python, or other relevant languages. Familiarity with machine learning algorithms and AI frameworks (TensorFlow, Keras, etc.). Must have good hands-on experience in computer vision algorithms. Must be good at dealing with raw or unstructured data like(images, video, etc) Knowledge of cloud computing platforms (AWS, Azure, etc.). Ability to work collaboratively in a fast-paced environment and communicate effectively with team members and stakeholders. Good problem-solving skills Team spirit Job Type: Full-time Pay: ₹8,000.00 - ₹35,000.00 per month Schedule: Day shift Ability to commute/relocate: Indore, Madhya Pradesh 452014: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Can you join immediately? If no, what is your notice period? Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Python: 1 year (Preferred) Work Location: In person

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud – Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications: Master’s degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelor’s degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience: Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition: High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models to join our dynamic team. As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients. Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology. Job Description: Responsibilities : Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core. Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different LLMs and LLM APIs. Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines. Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions. Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving field Design and optimize Gen-AI Apps for efficient data processing and model leverage. Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation. Evaluate and fine-tune models to ensure high performance and accuracy. Collaborate with engineers to develop and integrate AI solutions into existing systems. Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base. Must-Have: Strong Expertise in Python development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development. Minimum 2 years hands-on experience in working with Generative AI Applications and Solutions. Minimum 2 years hands-on experience in working with Large Language Models Solid understanding of Transformer Models and how they work. Reasonable understanding of Diffusion Models and how they work. Hands-on Experience with building production solutions using a variety of different. Experience with multiple LLMs and models - including GPT-4o, Gemini, Claude, Llama, etc. Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including Azure OpenAI, AWS Bedrock, and/or GCP Vertex AI. Solid Hands-on Experience working with Enterprise RAG technologies and solutions / frameworks - including LangChain, Llama Index, etc. Solid Hands-on Experience with developing end-to-end RAG Pipelines. Solid Hands-on Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions Solid Hands-on Experience with AI and LLM Workflows Experience with LLM model registries (Hugging Face), LLM APIs, embedding models, etc. Experience with vector databases (Azure AI Search, AWS Kendra, FAISS, Milvus etc.). Experience in data preprocessing, and post-processing model / results evaluation. Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable. Hands-on Experience with Image Processing and Creative Automation at scale, using AI models. Hands-on experience with image and media transformation and adaptation at scale, using AI Art and Diffusion models. Hands-on Experience with dynamic creative use cases, using AI Art and Diffusion Models. Hands-on Experience with Fine-Tuning LLM models at scale. Hands-on Experience with Fine-Tuning Diffusion models and Fine-tuning techniques such as LoRA for AI Art models as well. Hands-on Experience with AI Speech models and services, including Text-to-Speech and Speech-to-Text. Ability to lead design and development teams, for Full-Stack Gen-AI Apps and Products/Solutions, built on LLMs and Diffusion models. Ability to lead design and development for Creative Experiences and Campaigns, built on LLMs and Diffusion models. Nice-to-Have: Good Background and Foundation with Machine Learning solutions and algorithms Experience with designing, developing, and deploying production-grade machine learning solutions. Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Experience with custom ML model development and deployment Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong knowledge of machine learning algorithms and their practical applications. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry. Hands-on Experience with Video Generation models. Hands-on Experience with 3D Generation Models. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

Responsibilities * Design, develop, and deploy AI models and systems using Python, Gen AI, Agentic AI, and other relevant technologies * Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions * Work with large datasets to train and test AI models, and optimize their performance * Apply Prompt Engineering techniques to improve the overall performance of the AI systems * Troubleshoot and debug AI systems to ensure optimal performance and reliability * Provide technical guidance and expertise to ensure high-quality deliverables * Collaborate with the cross functional teams * Participate in code reviews and contribute to the improvement of the overall code quality Technical and Professional Requirements: Preferred Qualifications: * Certification in AI or a related field, such as Certified Data Scientist or Certified AI Engineer* Experience with other AI frameworks and technologies, such as TensorFlow, PyTorch, or Keras * Familiarity with containerization using Docker and Kubernetes * Experience with agile development methodologies and version control systems, such as Git * Strong understanding of software design patterns, principles, and best practices * Experience with DevOps practices, such as continuous integration and continuous deployment * Knowledge of cloud computing platforms, such as Azure / GCP / AWS Preferred Skills: Technology->Analytics - Solutions->SQL Server - Analytics Technology->Machine Learning->Generative AI->retrieval augmented generation (rag) Technology->Machine Learning->Python Technology->Programing language C->go lang Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or a related field (B.E/B.Tech/M.E/M.Tech/MCA) * At least 3-5 years of experience in software development, with at least 2 years of hands on experience in Gen AI development * Strong proficiency in Python programming language * Hands on experience with LangChain, Gen AI, Agentic AI, and Prompt Engineering * Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions * Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams Keywords: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Prompt Engineering, Machine Learning, SQL, Kafka Educational Requirements Bachelor of Engineering Service Line Information Systems * Location of posting is subject to business requirements

Job Title - S&C Global Network - AI - CMT – AI ML Consultant Management Level: 9- Consultant Location: Open Must-have skills: Gen AI ML Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHAT’S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accenture’s highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You’ll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. ML Maturity Assessment What you would do in this role Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation Of Gen AI Solutions Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating And Designing Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration And Communication Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills Relevant experience in the required domain. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information Opportunity to work on innovative projects. Career growth and leadership exposure. About Our Company | Accenture Show more Show less

Required Skills Data Science Machine Learning Deep Learning Python NLP statistical exp. Experience in Data Modelling R Python SQL Data Science Machine Learning Deep Learning NLP Statistics Have ability to solve Business problems using Data Should possess extensive knowledge of and experience in applying data mining and machine learning techniques on large amount of datasets High level of proficiency in statistical tools like R Python Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights. Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems

Design and develop Generative AI models for specific business applications. Fine-tune and optimize large language models for performance and accuracy. Build custom pipelines to integrate generative AI into business workflows. Research and implement state-of-the-art techniques in Generative AI. Ensure ethical AI practices and compliance with relevant guidelines. Key Skills: Strong understanding of NLP and Generative AI models like GPT, BERT, or Stable Diffusion. Proficiency in Python and experience with AI frameworks like Hugging Face or OpenAI APIs. Familiarity with prompt engineering and fine-tuning techniques. Excellent collaboration and documentation skills.

Build, deploy, and maintain machine learning models in production. Automate model training, evaluation, and monitoring pipelines. Collaborate with data engineers to ensure the availability of clean, high-quality data. Optimize model performance and computational efficiency. Document ML workflows and processes for scalability and reproducibility. Key Skills: Proficiency in Python, Scala, or Java. Experience with ML tools like TensorFlow, PyTorch, and MLflow. Familiarity with MLOps practices and tools like Docker, Kubernetes, and CI/CD pipelines. Strong problem-solving and analytical skills Machine Learning,Python,Scala,Java

Happiest Minds Technologies Pvt.Ltd is looking for Databricks Professional to join our dynamic team and embark on a rewarding career journey Assessing and analyzing client requirements related to data processing, analytics, and machine learning. Designing and developing data pipelines, workflows, and applications using the Data Bricks platform. Integrating and connecting Data Bricks with other data sources, databases, and tools. Developing and implementing machine learning models using libraries such as Scikit-learn, Tensorflow, and PyTorch. Databricks, Spark, Python, Core ML, Pipeline creation,Airflow, Snowflake

Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialization in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution. A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes. A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 5+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. Responsibilities and skills Work with our customers to deliver a ML/DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models and deploying completed models to deliver business impact to organizations. Selecting features, building and optimizing classifiers using ML techniques. Data mining using state-of-the-art methods, creating text mining pipelines to clean & process large unstructured datasets to reveal high-quality information and hidden insights using machine learning techniques. Should be able to appreciate and work on: Should be able to appreciate and work on Computer Vision problems, for example, extract rich information from images to categorize and process visual data, develop machine learning algorithms for object and image classification, experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects. OR Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user-generated content, sentiment analysis, etc. OR Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. Experience of having worked in these areas. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Appreciation for deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow. Experience in working with GPUs to develop models, handling terabyte-size datasets. Experience with common data science toolkits such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit learn, caret etc – excellence in at least one of these is highly desirable. Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc. Experience with NoSQL databases and familiarity with data visualization tools will be of great advantage. What will you experience in terms of culture at Sahaj? A culture of trust, respect and transparency Opportunity to collaborate with some of the finest minds in the industry Work across multiple domains What are the benefits of being at Sahaj? Unlimited leaves Life insurance & private health insurance Stock options No hierarchy Open Salaries Show more Show less