9631 Tensorflow Jobs - Page 15

As a highly skilled and experienced Senior .NET Full Stack Developer with a passion for leveraging AI and machine learning to drive innovation and efficiency in software development, you will have the opportunity to work out of Kozhikode. Your role as a key contributor will involve designing, developing, and maintaining robust and scalable web applications, utilizing your expertise in both .NET backend and React frontend technologies. Your key responsibilities will include participating in requirements analysis, collaborating with internal teams to produce software design and architecture, and developing robust and scalable .NET backend services using .NET Core and Entity Framework Core. You will also be responsible for designing user-friendly and responsive web interfaces using React, JavaScript, and HTML/CSS, implementing complex UI components and interactions, and optimizing frontend performance and user experience. You will work seamlessly between frontend and backend development, ensuring seamless integration and data flow, troubleshooting and resolving complex technical issues across the full stack, and contributing to the overall architecture and design of the application. Additionally, you will research and implement AI and machine learning techniques to enhance software development processes, utilizing AI tools for code generation, testing, and automated debugging. Collaboration with DevOps teams to implement CI/CD pipelines and automate deployment processes will be part of your responsibilities. You will utilize tools like Jenkins, Azure DevOps, or GitLab CI/CD to streamline development and deployment workflows and contribute to infrastructure as code initiatives to manage and provision infrastructure resources. Other responsibilities will include testing and deploying applications and systems, revising, updating, refactoring, and debugging code, improving existing software, developing documentation throughout the software development life cycle, and serving as an expert on applications and providing technical support. To be successful in this role, you should have 5+ years of hands-on experience in .NET development, strong proficiency in React, JavaScript, HTML/CSS, RESTful API design and development, database technologies like SQL Server and Postgres, and experience with cloud platforms such as Azure, AWS, or GCP. Additionally, you should possess a solid understanding of software development principles, design patterns, best practices, version control systems like Git, problem-solving skills, excellent communication, and interpersonal skills. A keen interest in AI and machine learning, along with experience in AI frameworks and tools like TensorFlow, PyTorch, or ML.NET, will be advantageous.,

As an AI Developer at KritiLabs, you will play a crucial role in various aspects of data analysis and model development. Your responsibilities will include assisting in data analysis, supporting the design and implementation of machine learning models, conducting experiments to evaluate model performance, documenting processes and results, collaborating with cross-functional teams, and engaging in ongoing learning opportunities to enhance your understanding of AI/ML concepts and technologies. To excel in this role, you should have a background in Computer Science, Data Science, Mathematics, Statistics, or a related field. Proficiency in programming languages such as Python or R, along with experience in data manipulation libraries like Pandas and NumPy, is essential. A basic understanding of machine learning concepts and algorithms, including regression, classification, and clustering, is required. Strong analytical skills, problem-solving abilities, attention to detail, and the capacity to work with large datasets are key attributes for success in this position. Effective communication skills, both verbal and written, are crucial for articulating complex concepts clearly. Being a team player is vital to collaborate effectively in a fast-paced and collaborative environment. Any prior experience with AI/ML projects or relevant coursework will be advantageous. Additionally, familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn will be beneficial. KritiLabs offers a dynamic, innovative, and inclusive work environment that values and celebrates individual contributions. We provide opportunities for growth, competitive benefits including health insurance and retirement plans, and a strong emphasis on maintaining a healthy work-life balance through flexible work arrangements. Join us in Chennai, where you can drive positive change and make a difference while working on cutting-edge projects that challenge conventional thinking and push the boundaries of innovation. English proficiency is mandatory, and knowledge of other languages is an added advantage.,

As an AI Engineer & Validation at Leadsoc Technologies in Hyderabad, you will be responsible for leveraging your skills in machine learning fundamentals, including deep learning, large language models, and recommender systems. Your role will involve having a strong background in validation, defect analysis, and the software development life cycle. Additionally, you should possess a solid knowledge of Ubuntu and Yocto Linux systems. To excel in this position, you must have experience working with open-source frameworks like PyTorch, TensorFlow, and ONNX-Runtime. Proficiency in profiling ML workloads and executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, and OpenVINO will be crucial for success in this role. A strong background in Python programming is essential for effectively carrying out your responsibilities. Ideally, you should have 3-6 years of experience in the field and be able to join the team with a notice period of 0-15 days. If you are passionate about AI engineering and validation and possess the required skills and experience, we encourage you to apply and be a part of our dynamic team at Leadsoc Technologies. Thank you for considering this opportunity. Best regards, Murali,

As a Research Assistant at our institution, you will have the opportunity to contribute to cutting-edge research in various domains such as Artificial Intelligence, Medical Image Analysis, Clinical Neuroscience, and more. Your primary responsibility will involve providing advanced modeling and medical image analytics support to projects within SCMIA. You will lead the development, testing, and implementation of Deep learning/machine learning models while also managing the computational and administrative requirements of the NVIDIA DGX A100 GPU Server. Collaboration will be a key aspect of your role as you work closely with a diverse team including clinicians, radiologists, technicians, surgeons, and other engineers. In addition to technical tasks, you will be responsible for developing and maintaining test scripts, documentation, and training materials for new recruits and students. Moreover, you will have the opportunity to contribute to scientific journal publications and receive advanced training on new tools to enhance your skill set. To be successful in this role, you should possess a minimum qualification of M.Tech/M.S./M.E./M.Sc. or equivalent in relevant fields such as Computer Science, Information Technology, Electronics and Telecommunication, Data Sciences and AI, or Applied Mathematics. Alternatively, a Ph.D. degree in one of the research domains with a focus on medical imaging will be considered. Preference will be given to candidates with hands-on experience in areas such as data analytics/modelling, data science, machine learning, clinical trial protocols, Python programming, medical image analysis, and Unity 3D development. Salary and emoluments for this position will be as per the SIU norms and commensurate with your experience and educational qualifications. If you are interested in joining our team, please submit your detailed resume, including any relevant qualifications and publications, along with a cover letter via email to head@scmia.edu.in by the 15th of August, 2025. We look forward to receiving your application and potentially welcoming you to our research team.,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

As a Specialist, Technical Business Analysis at Fiserv, you will be consulting with project teams and functional units to design important projects or services. You will provide support for existing business systems applications, demonstrating proficiency and leadership skills. Your role will involve efficiently balancing and prioritizing project work, utilizing data to offer insights and actionable recommendations that inform decision-making and strategy development. In this position, your expertise in data analysis, machine learning, and statistical modeling will be crucial. You will uncover insights and develop predictive models to enhance fraud rules. Collaborating with cross-functional teams, you will analyze large volumes of transactional data, identify patterns of fraudulent behavior, and enhance monitoring systems continuously. Effective communication is key, as you will interface with clients, vendors, and business partners periodically. To excel in this role, you will need a Bachelor's degree in Computer Science or Engineering, or relevant work experience. A background in IT development is required, along with a minimum of 5 years of experience in fraud analysis, investigations, or a related field - preferably in financial services or e-commerce. Proficiency in programming languages like Python or R for data analysis and model development, as well as familiarity with SQL for querying and managing relational databases, is essential. Sound knowledge of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification, is also necessary. Strong analytical skills are a must, enabling you to derive insights from complex datasets. Your ability to effectively communicate technical findings to non-technical stakeholders, work collaboratively in a fast-paced team environment, and present recommendations clearly is critical. Additionally, being self-motivated, proactive, and capable of working both independently and collaboratively is essential for success in this role. It would be advantageous to have knowledge and experience with JIRA, Service Point, and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy) would also be beneficial. Thank you for considering employment with Fiserv. To apply, use your legal name and complete the step-by-step profile, attaching your resume. Fiserv is committed to Diversity and Inclusion, and does not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job postings not affiliated with Fiserv, and ensure that communications from Fiserv representatives come from legitimate email addresses.,

As a Director of AI Lab at McDonalds Corporation, you will play a crucial role in driving research and evaluation of cutting-edge AI technologies to enhance the organization's innovation and AI strategy. Your primary responsibilities will include defining and executing a comprehensive AI ecosystem strategy aligned with business goals, leading a team of AI experts, overseeing the development of advanced AI models, fostering collaboration with internal and external stakeholders, and promoting ethical AI practices. Your strategic vision will involve identifying high-impact AI use cases, establishing a roadmap for AI development, and prioritizing research initiatives. You will be expected to build and manage a high-performing team of AI professionals, create a culture of innovation and experimentation, and provide mentorship for career development. Additionally, you will lead the development of advanced AI models, conduct research to explore new techniques, and validate AI solutions through proof-of-concept projects. Collaboration and stakeholder management will be essential aspects of your role, as you partner with cross-functional teams to implement AI solutions, communicate technical concepts to non-technical stakeholders, and build relationships with external partners to enhance the AI ecosystem community. Furthermore, you will champion ethical AI practices by ensuring data privacy, fairness, and responsible development of AI models, while establishing guidelines for data governance and model transparency. To qualify for this position, you should possess a Bachelor's degree in data science, Computer Science, Business, or Analytics, with a preference for a Masters or PhD. You should have 15+ years of experience in AI/ML or related fields, with hands-on experience in building and deploying AI solutions. Proficiency in programming languages such as Python, R, or Java, as well as experience with AI/ML frameworks like TensorFlow and PyTorch, is required. Familiarity with AI techniques such as deep learning, reinforcement learning, generative AI, Agentic AI, and Edge AI is essential, along with experience in ML frameworks and large-scale AI system design. Start-up and entrepreneurship experience will be considered a plus, and the ability to effectively communicate complex AI concepts to non-technical stakeholders is crucial. This full-time role is based in Hyderabad, India, and follows a hybrid work mode. If you are a seasoned AI professional with a passion for driving innovation and leading high-performing teams, we invite you to join us at McDonalds Corporation and make a significant impact on our global AI strategy.,

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device, or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research, and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists, and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting, and our teams thrive on tackling really hard problems. There is never a dull moment with us. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG) is responsible for creating all of KLA's metrology and inspection products. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from various markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface macro inspection that is critical for various processes. LS-SWIFT operates globally and serves a worldwide customer base. Responsibilities: - Design, develop, and implement cutting-edge deep computer vision, signal processing, machine learning, or image processing algorithms - Rapidly prototype and validate new image processing and machine learning ideas - Develop end-to-end solutions considering system, imaging pipeline, user experience, and end application requirements - Collaborate in a highly cross-functional organization for systems integration of algorithms - Write robust production-quality code - Take ownership of prototype to production of algorithms Requirements: - Strong background in signal processing, machine learning, deep learning, computer vision, and image processing - Proficiency in C/C++, Matlab, Python, and object-oriented design - Experience in design and rendering software is a plus - Knowledge of common deep learning frameworks like TensorFlow and PyTorch - Ability to formulate problems into mathematical equations - Team player with excellent written and verbal communication skills - Ability and willingness to travel worldwide to support demos and projects at customer sites Minimum Qualifications: - Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years KLA offers a competitive, family-friendly total rewards package and is proud to be an equal opportunity employer. Be cautious of potentially fraudulent job postings and recruiting activities. KLA does not ask for financial compensation for interviews or equipment, nor work with recruiters who charge such fees. If you have concerns about the legitimacy of any communication, interview, or offer, please contact talent.acquisition@kla.com for verification.,

You will be working as an AI Engineer specializing in Localization within the AI/ML business unit based in Bangalore. With 2-5 years of experience and a degree in B.E / B.Tech / MS in computer science, you will have the following roles and responsibilities: - As an AI engine creator, you will be involved in training new models, integrating existing models, and applying transfer learning techniques. - Join a dynamic team working on cutting-edge AI solutions for the Media and Entertainment industry. Contribute actively to the development and enhancement of new AI solutions. - Collaborate with Gen AI / LLM solutions, focusing on prompt engineering and prompt optimization for optimal results extraction. - Develop sophisticated solutions that simplify complexity for customers while ensuring cost-effectiveness and efficiency. - Fine-tune accuracies and explore innovative approaches to enhance hypothesis without overfitting. - Demonstrate the ability to handle ambiguity and take the lead in solving industry challenges with little historical reference. - Provide technical and thought leadership within the team. - Possess hands-on experience in Localization, Speech to text, Transcription, and Translation. - Expertise in Computer vision, Open CV, TensorFlow, PyTorch, Python, Neural networks, CNNs, GenAL, Generative AI, LLMs, Prompt engineering, AWS or Azure cloud, Dockers, and K8s/Kubernetes is essential. - Knowledge of GANs, Nano models, Google LLMs (Bard, Gemini), and Hugging face models (Mistral, etc) would be an additional advantage. In addition to your responsibilities, you may also be involved in inventing and patenting new technologies to further enhance AI solutions in the industry.,

You are a talented and driven Machine Learning Engineer with 2-5 years of experience, looking to join a dynamic team in Chennai. Your expertise lies in machine learning principles and hands-on experience in building, deploying, and managing ML models in production environments. In this role, you will focus on MLOps practices and orchestration to ensure robust, scalable, and automated ML pipelines. Your responsibilities will include designing, developing, and implementing end-to-end MLOps pipelines for deploying, monitoring, and managing machine learning models in production. You will use orchestration tools such as Apache Airflow, Kubeflow, AWS Step Functions, or Azure Data Factory to automate ML workflows. Implementing CI/CD practices for ML code, models, and infrastructure will be crucial for ensuring rapid and reliable releases. You will also establish monitoring and alerting systems for deployed ML models, optimize performance, troubleshoot and debug issues across the ML lifecycle, and create and maintain technical documentation. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field, along with 2-5 years of professional experience as a Machine Learning Engineer or MLOps Engineer. Your skills should include proficiency in Python and its ML ecosystem, hands-on experience with major cloud platforms and their ML/MLOps services, knowledge of orchestration tools, containerization technologies, CI/CD pipelines, and database systems. Strong problem-solving, analytical, and communication skills are essential for collaborating effectively with Data Scientists, Data Engineers, and Software Developers in an Agile environment.,

As a Python Developer specializing in Artificial Intelligence (AI) and Machine Learning (ML), you will play a crucial role in our team by designing, deploying, and enhancing intelligent applications and solutions using Python and ML frameworks. Your responsibilities will include developing scalable Python applications with AI/ML capabilities, creating machine learning models for various purposes such as classification, prediction, and NLP, and collaborating closely with data scientists and product teams to integrate ML models into production systems. You will also be tasked with optimizing algorithms for performance, maintaining and improving existing ML pipelines, and ensuring clean, reusable, and well-documented code. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, alongside 3-5 years of hands-on experience in Python programming. A strong grasp of AI/ML concepts and applications is essential, as well as proficiency in libraries and frameworks like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. Experience with data preprocessing, model training, and evaluation, as well as knowledge of REST APIs and deployment tools like Flask or FastAPI, will be beneficial. Familiarity with cloud platforms and ML Ops tools is a plus, and strong analytical, problem-solving, communication, and collaboration skills are necessary. Additionally, having experience with Natural Language Processing (NLP), exposure to deep learning and computer vision projects, and knowledge of containerization tools like Docker and orchestration with Kubernetes are considered advantageous. By joining our team, you will have the opportunity to work on real-world AI/ML projects in a collaborative and innovative work environment with a flexible work culture and various learning and development opportunities. Furthermore, we offer benefits such as Private Health Insurance, a Hybrid Work Mode, Performance Bonus, and Paid Time Off.,

Control Automation Data Science Sr Analyst (C11) - DS About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200+ years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. About AIM: Analytics and Information Management (AIM) is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. What do we do: We have one formula for managing risk across the firm: our Enterprise Risk Management Framework. This consistency enables us to take an end-to-end view in how we identify, measure, build, control and report risks. We are also working to simplify, streamline and automate our manual controls—strengthening our ability to prevent issues, not just to detect them after they happen. When issues do appear, we should strive to understand the root cause. We can then apply those lessons-learned horizontally across the organization to prevent similar issues from arising elsewhere. Expertise required: Data Analysis and Modelling: Use statistical modelling analysis, Machine Learning, Data mining techniques to extract actionable insights from large and complex datasets. Develop model to forecast trends, identify patterns and solve various business challenges. Conduct exploratory data analysis to uncover hidden relationships and opportunities for optimizations. Algorithm Development: Design, develop, deploy advance algorithms to solve complex business problems. Optimize algorithms for scalability, performance, and accuracy. Stay abreast of the latest advancements in Machine Learning and Artificial Intelligence and continuously improve modelling techniques. Collaboration and communication: Collaborate with Model Risk Management and Data Engineers, business analysts, product managers to define project requirements and deliver solutions. Communicate findings and recommendations to technical and non-technical stakeholders. Act as subject matter expert on Data Science methodology and best practices. Data management and governance: Work with Data engineers to ensure availability, quality, and integrity of datasets. Develop and implement Data governance procedures to ensure compliance with regulatory requirements and industry standards. Domain Skills Good understanding of Banking domain (Wealth, Cards, Deposit, Loans & Insurance etc.) Functional Skills Business risk, controls, compliance, and data management. Nice to have - Knowledge of Finance Regulations, Understanding of Audit Process Soft Skills Should have good communication and inter-personal skills. Mentoring junior members in the team Ability to thrive in a dynamic and fast-paced environment. Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Proactive approach in solving problems and eye for details. A strong team player Qualifications: Bachelor’s degree in quantitative field (Computer science, engineering, mathematics, machine learning, statistics) 5-8 years of experience in Data science role Proficiency in programming languages like Python, R, or SAS Experience in Python and relevant libraries (Numpy, Pandas, Scikit learn etc.) Coursework related to Machine learning, Deep learning (NLP / OCR) and Programming At least an introductory understanding of LLMs and prompt engineering Hands on application experience using common ML frameworks such as TensorFlow, PyTorch, OpenAI and LangChain Experience with big data platforms (e.g. Hadoop, Spark) and SQL databases Demonstrated ability to write high quality code, develop Machine Learning models Excellent verbal and written communication skills Problem solving and Story telling skills to provide recommendations and generate actionable Business Insights. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Data Science (GenAI & Prompt engineering) – Bangalore Business Analytics Analyst 2 About CITI Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. Analytics and Information Management (AIM) Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies. What do we do? The North America Consumer Bank – Data Science and Modeling team analyzes millions of prospects and billions of customer level transactions using big data tools and machine learning, AI techniques to unlock opportunities for our clients in meeting their financial needs and create economic value for the bank. The team extracts relevant insights, identifies business opportunities, converts business problems into modeling framework, uses big data tools, latest deep learning and machine learning algorithms to build predictive models, implements solutions and designs go-to-market strategies for a huge variety of business problems. Role Description The role will be Business Analytics Analyst 2 in the Data Science and Modeling of North America Consumer Bank team The role will report to the AVP / VP leading the team What do we offer: The Next Gen Analytics (NGA) team is a part of the Analytics & Information Management (AIM) unit. The NGA modeling team will focus on the following areas of work: Role Expectations: Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly. Analytic Project Execution – Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value. Domain expert – Individuals are expected to be domain expert in their sub field, as well as have a holistic view of other business lines to create better solutions. Key fields of focus are new customer acquisition, existing customer management, customer retention, product development, pricing and payment optimization and digital journey. Modeling and Tech Savvy – Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team. Statistical mind set – Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling. Communication skills – Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management. Strong project management skills. Ability to coach and mentor juniors. Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc. Role Responsibilities: Work with large and complex datasets using a variety of tools (Python, PySpark, SQL, Hive, etc.) and frameworks to build Deep learning/generative AI solutions for various business requirements. Primary focus areas include model training/fine-tuning, model validation, model deployment, and model governance related to multiple portfolios. Design, fine-tune and implement LLMs/GenAI applications using techniques like prompt engineering, Retrieval Augmented Generation (RAG) and model fine-tuning Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, including utilizing deep learning /generative AI algorithms and, data visualization techniques. Incumbents in this role may often be referred to as Data Scientists. Specialization in marketing, risk, digital, and AML fields possible, applying Deep learning & generative AI models to innovate in these domains. Collaborate with team members and business partners to build model-driven solutions using cutting-edge Generative AI models (e.g., Large Language Models) and also at times, ML/traditional methods (XGBoost, Linear, Logistic, Segmentation, etc.) Work with model governance & fair lending teams to ensure compliance of models in accordance with Citi standards. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. What do we look for: If you are a bright and talented individual looking for a career in AI and Machine Learning with a focus on Generative AI , Citi has amazing opportunities for you. Bachelor’s Degree with atleast 3 years of experience in data analytics, or Master’s Degree with 2 years of experience in data analytics, or PhD. Technical Skills Hands-on experience in PySpark/Python/R programing along with strong experience in SQL. 2-4 years of experience working on deep learning, and generative AI applications Experience working on Transformers/ LLMs (OpenAI, Claude, Gemini etc.,), Prompt engineering, RAG based architectures and relevant tools/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, LlamaIndex etc., Solid understanding of deep learning, transformers/language models. Familiarity with vector databases and fine-tuning techniques Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. Strong background in Statistical Analysis. Capability to validate/maintain deployed models in production Self-motivated and able to implement innovative solutions at fast pace Experience in Credit Cards and Retail Banking is preferred Competencies Strong communication skills Multiple stake holder management Strong analytical and problem solving skills Excellent written and oral communication skills Strong team player Control orientated and Risk awareness Working experience in a quantitative field Willing to learn and can-do attitude Ability to build partnerships with cross-function leaders Education: Bachelor's / master’s degree in economics / Statistics / Mathematics / Information Technology / Computer Applications / Engineering etc. from a premier institute Other Details Employment: Full Time Industry: Credit Cards, Retail Banking, Financial Services, Banking ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Specialized Analytics (Data Science/Computational Statistics) ------------------------------------------------------ Time Type: ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Position Overview- We are looking for an experienced AI Engineer to design, build, and optimize AI-powered applications, leveraging both traditional machine learning and large language models (LLMs). The ideal candidate will have a strong foundation in LLM fine-tuning, inference optimization, backend development, and MLOps, with the ability to deploy scalable AI systems in production environments. ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights. Key Responsibilities: Design and implement traditional ML and LLM-based systems and applications Optimize model inference for performance and cost-efficiency Fine-tune foundation models using methods like LoRA, QLoRA, and adapter layers Develop and apply prompt engineering strategies including few-shot learning, chain-of-thought, and RAG Build robust backend infrastructure to support AI-driven applications Implement and manage MLOps pipelines for full AI lifecycle management Design systems for continuous monitoring and evaluation of ML and LLM models Create automated testing frameworks to ensure model quality and performance Basic Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, or a related field 4+ years of experience in AI/ML engineering, software development, or data-driven solutions LLM Expertise Experience with parameter-efficient fine-tuning (LoRA, QLoRA, adapter layers) Understanding of inference optimization techniques: quantization, pruning, caching, and serving Skilled in prompt engineering and design, including RAG techniques Familiarity with AI evaluation frameworks and metrics Experience designing automated evaluation and continuous monitoring systems Backend Engineering Strong proficiency in Python and frameworks like FastAPI or Flask Experience building RESTful APIs and real-time systems Knowledge of vector databases and traditional databases Hands-on experience with cloud platforms (AWS, GCP, Azure) focusing on ML services MLOps & Infrastructure Familiarity with model serving tools (vLLM, SGLang, TensorRT) Experience with Docker and Kubernetes for deploying ML workloads Ability to build monitoring systems for performance tracking and alerting Experience building evaluation systems using custom metrics and benchmarks Proficient in CI/CD and automated deployment pipelines Experience with orchestration tools like Airflow Hands-on experience with LLM frameworks (Transformers, LangChain, LlamaIndex) Familiarity with LLM-specific monitoring tools and general ML monitoring systems Experience with distributed training and inference on multi-GPU environments Knowledge of model compression techniques like distillation and quantization Experience deploying models for high-throughput, low-latency production use Research background or strong awareness of the latest developments in LLMs Tools & Technologies We Use Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Serving: vLLM, TensorRT-LLM, SGlang, OpenAI API Infrastructure: Docker, Kubernetes, AWS, GCP Databases: PostgreSQL, Redis, Vector Databases We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 01st August 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

About AiSensy AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco, Wipro, Asian Paints, India Today Group, Skullcandy, Vivo, Physicswallah, and Cosco grow their revenues via WhatsApp. Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing 400 Crores+ WhatsApp Messages exchanged between Businesses and Users via AiSensy per year Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more High Impact as Businesses drive 25-80% Revenues using AiSensy Platform Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors Role Overview We are looking for a Senior Machine Learning Engineer to lead the development and deployment of cutting-edge AI/ML systems with a strong focus on LLMs, Retrieval-Augmented Generation (RAG), AI agents , and intelligent automation. You will work closely with cross-functional teams to translate business needs into AI solutions, bringing your expertise in building scalable ML infrastructure, deploying models in production, and staying at the forefront of AI innovation. Key Responsibilities AI & ML System Development Design, develop, and optimize end-to-end ML models using LLMs, transformer architectures, and custom RAG frameworks. Fine-tune and evaluate generative and NLP models for business-specific applications such as conversational flows, auto-replies, and intelligent routing. Lead prompt engineering and build autonomous AI agents capable of executing multi-step reasoning. Infrastructure, Deployment & MLOps Architect and automate scalable training, validation, and deployment pipelines using tools like MLflow, SageMaker, or Vertex AI. Integrate ML models with APIs, databases (vector/graph), and production services ensuring performance, reliability, and traceability. Monitor model performance in real-time, and implement A/B testing, drift detection, and re-training pipelines. Data & Feature Engineering Work with structured, unstructured, and semi-structured data (text, embeddings, chat history). Build and manage vector databases (e.g., Pinecone, Weaviate) and graph-based retrieval systems. Ensure high-quality data ingestion, feature pipelines, and scalable pre-processing workflows. Team Collaboration & Technical Leadership Collaborate with product managers, software engineers, and stakeholders to align AI roadmaps with product goals. Mentor junior engineers and establish best practices in experimentation, reproducibility, and deployment. Stay updated on the latest in AI/ML (LLMs, diffusion models, multi-modal learning), and drive innovation in applied use cases. Required Qualifications Bachelor’s/Master’s degree in Computer Science, Engineering, AI/ML, or a related field from a Tier 1 institution (IIT, NIT, IIIT or equivalent). 2+ years of experience building and deploying machine learning models in production. Expertise in Python and known the frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn . Hands-on experience with transformer models , LLMs , LangChain , LangGraph, OpenAI API , or similar. Deep knowledge of machine learning algorithms , model evaluation, hyperparameter tuning, and optimization. Experience working with cloud platforms (AWS, GCP, or Azure) and ML Ops tools (MLflow, Airflow, Kubernetes). Strong understanding of SQL , data engineering concepts, and working with large-scale datasets. Preferred Qualifications Experience with prompt tuning, agentic AI systems , or multi-modal learning . Familiarity with vector search systems (e.g., Pinecone, FAISS, Milvus) and knowledge graphs . Contributions to open-source AI/ML projects or publications in AI journals/conferences. Experience in building conversational AI or smart assistants using WhatsApp or similar messaging APIs. Why Join AiSensy? Build AI that directly powers growth for 100,000+ businesses. Work on cutting-edge technologies like LLMs, RAG, and AI agents in real production environments. High ownership, fast iterations, and impact-focused work. Ready to build intelligent systems that redefine communication? Apply now and join the AI revolution at AiSensy .

Organization Description: “Let goodness, fairness and most importantly, love prevail in business; profits will inevitably follow.”– Nand Kishore Chaudhary, Founder Organization Description: Jaipur Rugs is a social enterprise that connects rural craftsmanship with global markets through its luxurious handmade carpets. It is a family-run business that offers an exclusive range of hand-knotted and hand-woven rugs made using 2500 years old traditional art form. The founder, Mr. Nand Kishore Chaudhary created a unique business model, which provides livelihood to the artisans at their doorstep. This changed the standard practice of involving middlemen to work with artisanal communities. The company currently has a network of over 40,000 artisans spread across 600 rural Indian villages in five states of India. It has an end-to-end business model, right from sourcing of wool to exporting a finished handmade rug. The modern and eclectic collection of rugs, made using the finest wool and silk, has won numerous global awards and is currently exported to more than 45 countries with the US sales arm, Jaipur Living, Inc. located in Georgia, Atlanta. Key Responsibilities: Partner with management to assess current workflows and identify areas for AI adoption. Design, develop, or recommend AI-driven solutions to enhance business functions such as HR, Finance, Procurement, Operations, and Customer Service. Translate business problems into AI opportunities using NLP, machine learning, data analytics, and automation tools. Evaluate and implement AI platforms, tools, and vendors aligned with business goals. Create frameworks for AI adoption and ensure integration with existing IT infrastructure. Lead pilot projects and proof-of-concepts for AI use cases in corporate functions. Build internal awareness and understanding of AI potential through workshops, presentations, and training sessions. Ensure ethical use of AI and compliance with data privacy and governance regulations. Monitor industry trends and emerging technologies to keep the company at the forefront of innovation. Requirements: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. 3–7 years of experience in AI/ML roles, preferably in a corporate transformation context. Strong knowledge of machine learning, NLP, RPA (Robotic Process Automation), and enterprise AI tools. Hands-on experience with platforms such as TensorFlow, OpenAI, Azure AI, or similar. Familiarity with business process mapping and digital transformation initiatives. Excellent problem-solving, communication, and stakeholder management skills. Ability to translate technical insights into actionable business solutions. Why Join Us? This is a strategic opportunity to be at the center of our digital evolution. You’ll play a critical role in shaping how we work, decide, and grow as a future-ready, AI-first organization.

Description GlobalLogic is seeking a proactive Prompt Engineer specializes in crafting and refining input prompts to optimize the performance of AI models, particularlyin natural language processing (NLP). This role involves designing clear and effective prompts that guide AI systems to generate accurate, relevant, and contextually appropriate responses. Prompt Engineers collaborate closely with data scientists, software developers, and product teams to enhance AI interactions across various applications, including chatbots, virtual assistants, and content generation tools. Requirements Minimum 2+ year strong background in Python programming, database management, and data science methodologies Prior experience with conversational AI systems or chatbot development is highly desirable Strong research & analytical skills Sound knowledge of Deep learning, transformer, GAN’s , VAE’s and LLM Proven experience in natural language processing, prompt engineering, or similar role Proficiency in programming languages such as Python and experience with relevant libraries and frameworks (eg,TensorFlow, PyTorch, spaCy) Attention to detail Team player Quick learner Critical thinker and problem-solving skills Job responsibilities Prompt Development: Design and develop creative and effective prompts for natural language understanding Collaborate with software engineers and data scientists to integrate prompts into conversational interfaces Prompt Optimization: Continuously iterate and refine prompts to improve the quality and performance of the conversational AI system. Analyze user interactions and feedback to identify areas for prompt enhancement and adjust them accordingly Data Analysis: Analyze user interactions, model outputs, and performance metrics and feedback to continuously improve prompt-based systems Utilize data-driven insights to enhance the effectiveness and efficiency of the prompt engineering process Algorithm Optimization: Work on optimizing algorithms for prompt generation and response to improve system performance Stay updated on the latest advancements in natural language processing and integrate innovative techniques into prompt engineering. Collaboration: Collaborate with cross-functional teams, including software developers, data scientists, and UX designers, to ensure a seamless integration of prompt systems into products Quality Assurance: Prompt Testing and Evaluation: Conduct thorough testing and evaluation of prompts to assess their effectiveness and efficiency. This involves analyzing the generated responses, identifying areas for improvement, and iterating on the prompts to enhance performance Address and resolve any issues related to prompt performance and user experience What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Role : Senior Associate Exp : 3-6 Years Location: Mumbai Job Description: Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: Collaborate with clients to understand their business needs and provide data-driven solutions. Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and drive decision-making. Present findings and recommendations to stakeholders in a clear and concise manner. Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval. Version Control: Experience with Git for collaborative development and code management. APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: Supervised and Unsupervised Learning Regression Analysis Classification Techniques Clustering Algorithms Natural Language Processing (NLP) Time Series Analysis Deep Learning Reinforcement Learning Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field 3-5 years of relevant experience in data science and machine learning Strong analytical and problem-solving skills Excellent communication and presentation abilities Ability to work independently and as part of a team Mandatory Skill Sets GenAI/BFSI/ Data Visualization Preferred Skill Sets GenAI/ BFSI / Data Visualization Years Of Experience Required 3-6 Years Education Qualification B.E.(B.Tech)/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Up to 40% Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

🚀 Senior AI/ML Engineer – Multi-Agent & MCP Architect Location: Mumbai (Hybrid) Company: Fin 100X.AI – India’s Protocol-Governed AI Financial OS 🏢 Company Description Fin 100X.AI is India’s first protocol-governed, AI-powered Financial Operating System built for Bharat’s 100 crore underserved citizens. We are reimagining finance through: Multi-agent AI orchestration (MCP protocol-driven) Explainable and trustworthy AI Regulatory-first design (RBI, SEBI, IRDAI, PFRDA aligned) Backed by IIT Bombay alumni and top fintech leaders, we are building AI for Bharat that blends technology, trust, and inclusion. 🎯 Role Overview As a Senior AI/ML Engineer (MCP + Multi-Agent Orchestration), you will be part of the founding tech braintrust that defines the core AI architecture of Fin 100X.AI. Your mission: Design and deploy a world-class, multi-agent AI stack powered by MCP (Model Context Protocol) to deliver scalable, explainable, and reliable AI-driven financial advisory modules for 100 crore users. You will directly influence: AI Laxmi orchestration Credit Booster, SIP Planner, Fraud Shield National-scale agentic financial intelligence 🧠 Key Responsibilities Architect and implement multi-agent AI systems using MCP protocol Build LLM orchestration pipelines (LangChain, AutoGen, CrewAI, MCP) Design retrieval-augmented pipelines (RAG) with vector memory & routing Deploy neural models (NLP, NLU, recommendation engines) at scale Create fallback, routing, and governance layers for explainable AI Integrate real-time financial intelligence APIs (OpenAI, Gemini, HuggingFace, etc.) Mentor junior AI engineers; enforce best practices in ML Ops and agent orchestration Collaborate with backend/frontend teams for end-to-end AI productionization ✅ Required Qualifications Core Technical Skills Strong foundation in ML/DL architectures, NLP, and LLMs Expertise in multi-agent orchestration frameworks: MCP, AutoGen, CrewAI, LangGraph Advanced experience with Python (TensorFlow, PyTorch, HuggingFace, FastAPI) Proficient in vector search systems (Pinecone, FAISS, ChromaDB) Deep knowledge of RAG pipelines, memory graphs, prompt chaining Experience deploying models in cloud-native and microservice architectures Preferred Exposure FinTech AI systems or regulated AI environments Agent evaluation, explainability, and safety-first design Scaling AI in hybrid production (cloud + edge) environments 🌟 What We Value Architect mindset with hands-on coding skills Self-driven innovation and ownership from concept → deployment Experience building AI systems for 10M+ scale Passion for financial inclusion, Bharat-first AI, and AI for Good 🏆 Perks Shape India’s AI Financial OS from Day 0 ESOP track + leadership growth National showcase at Global FinTech Fest 2025 Mentorship with IIT Bombay alumni & top AI architects Solve real Bharat-scale problems with MCP-first AI innovation

This role is for one of Weekday's clients Min Experience: 4 years Location: Chennai JobType: full-time Requirements Responsibilities: Design, develop, and implement AI/ML models and algorithms Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions Write clean, efficient, and well-documented code Collaborate with data engineers to ensure data quality and availability for model training and evaluation Work closely with senior team members to understand project requirements and contribute to technical solutions Troubleshoot and debug AI/ML models and applications Stay up-to-date with the latest advancements in AI/ML Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models Develop and deploy AI solutions on Google Cloud Platform (GCP) Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy Utilize Vertex AI for model training, deployment, and management. Integrate and leverage Google Gemini for specific AI functionalities. Qualifications: Bachelor's degree in computer science, Artificial Intelligence, or a related field. 3+ years of experience in developing and implementing AI/ML models. Strong programming skills in Python. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Good understanding of machine learning concepts and techniques. Ability to work independently and as part of a team. Strong problem-solving skills. Good communication skills. Experience with Google Cloud Platform (GCP) is preferred. Familiarity with Vertex AI is a plus

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 01st August 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 01st August 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Exeperience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications 3–6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus

About The Role We are seeking experienced AI Engineers with 3 to 8 years of expertise in designing, developing and implementing advanced AI models and algorithms, The ideal candidate will be particularly focused on Generative AI, machine learning and natural language processing. Requirements Minimum 3 to 8 years in AI/ML development with strong Python skills. Develop and deploy cloud-native applications using Azure services such as Azure Functions, Azure ML, App Service, Storage, and Cosmos DB. Familiarity with Amazon SageMaker is a plus. Expertise in machine learning frameworks like TensorFlow, PyTorch and Scikit-learn, with proficiency in deep learning techniques. Proven experience with Generative AI and cloud platforms (Azure, AWS or GCP). In-depth knowledge of infrastructure as code tools, including Terraform and ARM templates. Ability to work closely with data scientists, product managers, and cross-functional teams to align with business objectives. Comfortable engaging in code and design reviews within agile environments. Demonstrates a continuous learning mindset, with the ability to stay updated on AI, machine learning and cloud advancements.

Job Title : AI Trainer – Curriculum Designer (Smart Factory AI Training Program) Experience : 3+ Years Location : Chennai Contract Duration : Short Term Work Time : IST Shift Job Description We are seeking a dynamic and experienced AI Trainer to design, develop, and deliver tailored training content for diverse learner groups, from leadership teams to shop floor workers. The ideal candidate combines deep technical knowledge in AI/ML with instructional design expertise and experience in industrial or manufacturing environments. Key Responsibilities Curriculum Development Design structured, role-specific AI training programs for four key groups: Leadership, Technical Leads, Junior Engineers, and Shop Floor Operators Develop comprehensive training materials including presentations, hands-on exercises, case studies, and assessments Align training content with real-world manufacturing and factory automation scenarios Coordinate with technical and business teams to incorporate platform-specific use cases (e.g., Vision AI, Autonomous Systems, Data-Driven Automation) Training Delivery Conduct in-person training sessions in Chennai over 10 scheduled training days for different participant groups Deliver content clearly and effectively, customized to the learning level and needs of each audience Promote engagement through interactive methods like Q&A sessions, group exercises, and practical demos Support post-training queries and analyze feedback for continuous improvement Collaboration and Support Work closely with AI experts, product managers, and client stakeholders to validate and refine content Adapt the curriculum to align with ongoing project requirements and factory transformation objectives Training Groups and Format Leadership Team: 4 hours (2 sessions) – Strategic orientation on AI in manufacturing Technical Leads: 2 days – Applied AI/ML in industrial innovation Junior Engineers: 3 days – Developer bootcamp from data pipelines to model deployment Shop Floor Staff: 1 day × 4 batches – Basic AI awareness and practical application Required Skills and Qualifications 6 to 10 years of experience in AI/ML training, curriculum design, or corporate L&D in data science or AI Strong understanding of machine learning, computer vision, and industrial AI applications Proficiency in Python and tools such as TensorFlow, PyTorch, Jupyter, and scikit-learn Proven ability to explain complex AI/ML concepts to both technical and non-technical audiences Experience in manufacturing, robotics, industrial automation, or vision systems is highly desirable Strong presentation, facilitation, and communication skills Preferred Skills Bachelor's or Master’s degree in Computer Science, AI/ML, Engineering, or related fields Certifications in AI/ML from institutions such as DeepLearning.ai, Google, or Microsoft Experience delivering training for industrial use cases or AI product deployments Why Join This Project? Contribute to a large-scale smart factory transformation initiative Deliver impactful, real-world AI training across organizational levels Collaborate with leading AI innovators and technology teams