42 Ml Libraries Jobs

As an ideal candidate for the position, you should possess 1 to 2 years of experience and hold a Bachelor's degree in Computer Science, B.Tech in IT or CSE, MCA, MSc IT, or any related field. The work mode is onsite, and the shift timings are from 12 PM to 10 PM (Afternoon Shift). Your primary responsibilities will include designing and implementing complex algorithms for critical functionalities, conducting system analysis, design, and documentation tasks, obtaining performance metrics of applications to optimize efficiency, managing project milestones and deadlines efficiently, developing highly scalable, multi-threaded applications, ensuring code quality through unit testing, and maintaining high standards of code documentation and structure. Additionally, you will be expected to utilize tools and techniques for detecting and resolving memory leaks, including heap dumps and thread dump analysis for debugging and performance optimization. In terms of technical background, you should have a strong understanding of Java, web services, and Design Patterns. Your expertise should extend to code optimization and performance improvement, with knowledge of tools like Java/Mysql Profiler for profiling and optimization. You must possess the ability to debug, identify problems, determine root causes, and apply effective solutions to resolve issues. Experience in writing unit tests using tools like JUnit, Mockito, or TestNG is essential for ensuring code reliability and correctness. Familiarity with tools for memory leak analysis, heap dumps, and thread dump analysis is crucial for troubleshooting performance bottlenecks. Moreover, your skill set should include proficiency in Regular Expressions, Solr, ElasticSearch, NLP, Text Processing, or any ML libraries. Being a fast learner with exceptional problem-solving and troubleshooting abilities is highly desirable for this role.,

We are seeking a skilled and innovative AI/ML Engineer to design, develop, and implement machine learning models and artificial intelligence solutions that drive business impact. The ideal candidate will have strong experience in data science, statistical modeling, and deep learning frameworks, along with the ability to work in cross-functional teams. Build and deploy scalable ML models for classification, regression, recommendation, or NLP tasks. Collect, clean, and preprocess large datasets from various sources. Design and run experiments to evaluate model performance and improve accuracy. Collaborate with software engineers to integrate models into production systems. Stay updated with the latest AI/ML research and technologies to apply best practices. Optimize model performance and ensure alignment with business goals.

As an AI/ML Engineer at our company based in Vadodara, Gujarat, India, you will play a crucial role in designing, developing, and implementing machine learning models and AI-driven solutions to address intricate business challenges. With 2-3 years of experience in the field, you will have the opportunity to collaborate with diverse teams to deliver scalable and innovative AI products. Your primary responsibilities will include designing, building, and deploying machine learning models and algorithms, extracting meaningful patterns and insights from large datasets, and ensuring the efficiency of data pipelines in collaboration with data engineers. Additionally, you will conduct experiments, evaluate and optimize models, and integrate them into production systems while staying abreast of the latest advancements in AI/ML. To excel in this role, you should have proficiency in Python and ML libraries such as scikit-learn, TensorFlow, and PyTorch. Experience in data preprocessing, feature engineering, and model evaluation is essential, along with knowledge in deep learning, NLP, computer vision, or reinforcement learning depending on the role focus. Familiarity with cloud platforms like AWS, GCP, Azure, MLOps tools, databases (SQL, NoSQL), and version control (Git) will be advantageous. Ideally, you hold a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, coupled with strong problem-solving skills, analytical capabilities, and the ability to work both independently and collaboratively. Effective communication, documentation skills, and a proactive approach to learning and adapting to new technologies are key attributes we value in our team members. Furthermore, any prior publications or contributions to open-source ML projects, experience in deploying models using Docker/Kubernetes, and familiarity with ML lifecycle tools like MLflow, Kubeflow, or Airflow will be considered favorably. In return, we offer a competitive salary, comprehensive benefits package, the opportunity to work with cutting-edge AI technologies, flexible working hours, remote working options, and a supportive and innovative team environment. Join us to work on enterprise-grade solutions and leverage the latest technologies to stay ahead in the global market while enjoying a healthy work-life balance in a 5-day workweek format. If you are passionate about AI/ML, eager to contribute to impactful projects, and thrive in a dynamic and collaborative work setting, we welcome you to apply for this full-time remote position with us.,

You are a highly experienced and technically proficient Manager/Sr. Manager seeking to lead a team of AI/ML engineers in Chennai (IITM). With 6-10 years of experience, you will drive the development of innovative solutions leveraging your expertise in Artificial Intelligence, Machine Learning, Python programming, and cloud platforms such as AWS/Azure, including hands-on experience in Scikit-learn and related tools. Your responsibilities will include leading the design, development, and deployment of AI/ML models and solutions, collaborating with cross-functional teams to define technical roadmaps and project goals, managing the end-to-end ML lifecycle from data preprocessing to model training, evaluation, deployment, and monitoring. You will ensure best practices in model versioning, reproducibility, and automation, provide technical leadership and mentorship to junior engineers and data scientists, stay updated with the latest research and trends in AI/ML, and recommend the adoption of relevant technologies. Working closely with stakeholders, you will translate business problems into AI/ML solutions, drive technical documentation, conduct code reviews, and ensure adherence to coding standards. Your mandatory skills include proficiency in Artificial Intelligence (AI) & Machine Learning (ML), Python programming, cloud platforms such as AWS and/or Azure, Scikit-learn and ML libraries, strong problem-solving and algorithmic skills, as well as excellent communication and leadership abilities. Preferred qualifications for this role include a degree in Computer Science, Data Science, or a related field, experience with deep learning frameworks like TensorFlow and PyTorch, familiarity with MLOps tools and practices, and exposure to deploying models in production environments using Docker/Kubernetes.,

Join us at Barclays in the role of Strategic Adoption AI Engineer, where you will be tasked with enhancing existing processes, reporting, and controls to ensure flawless execution of BAU. Your responsibilities will include driving efficiencies, implementing process improvements, and standardizing processes across SBUs wherever feasible. At Barclays, we not only anticipate the future but also actively participate in creating it. To excel in this role, you should possess the following skills: - Proficient programming abilities in Python and hands-on experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. - Familiarity with automation tools like Jenkins, GitHub Actions, or GitLab CI/CD for streamlining ML pipelines. - Strong knowledge of Docker and Kubernetes for facilitating scalable deployments. - Extensive experience with various AWS services like SageMaker, Bedrock, Lambda, CloudFormation, Step Functions, S3, and IAM. - Managing infrastructure for training and inference using AWS S3, EC2, EKS, and Step Functions. - Expertise in Infrastructure as Code tools like Terraform, AWS CDK. - Familiarity with model lifecycle management tools such as MLflow, SageMaker Model Registry. - Solid understanding of applying DevOps principles to ML workflows. Additionally, valuable skills may include: - Experience with Snowflake and Databricks for collaborative ML development and scalable data processing. - Knowledge of data engineering tools like Apache Airflow, Kafka, Spark. - Understanding of model interpretability, responsible AI, and governance. - Contributions to open-source MLOps tools or communities. - Strong leadership, communication, and cross-functional collaboration skills. - Understanding of data privacy, model governance, and regulatory compliance in AI systems. - Exposure to LangChain, Vector DBs like FAISS, Pinecone, and retrieval-augmented generation (RAG) pipelines. Your assessment may focus on critical skills essential for success in this role, including risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology expertise. This position is located at our Pune office. **Purpose of the role:** To design, develop, and enhance software solutions using various engineering methodologies to provide business, platform, and technology capabilities for our customers and colleagues. **Accountabilities:** - Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools. Ensure scalability, maintainability, and performance optimization of the code. - Collaborate with product managers, designers, and engineers to define software requirements, devise solution strategies, and integrate them seamlessly with business objectives. - Engage in peer collaboration, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay updated on industry technology trends, contribute to organizational technology communities, and foster technical excellence and growth. - Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implement effective unit testing practices to ensure proper code design, readability, and reliability. **Assistant Vice President Expectations:** - Provide advice and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. - Lead a team in performing complex tasks, using professional knowledge and skills to impact the entire business function. Set objectives, coach employees, appraise performance, and determine reward outcomes. - Demonstrate clear leadership behaviours to create an environment for colleagues to thrive and deliver excellent results. The four LEAD behaviours are: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.,

As an AI & Data Science Intern at Skillfied Mentor, you will have the opportunity to explore the exciting world of Artificial Intelligence and Data-driven solutions. The internship is virtual, allowing you to work from anywhere, and offers a flexible duration tailored to your schedule. While the internship is unpaid, top performers will be recognized and rewarded based on their performance. Upon successful completion, you will receive an ISO-verified internship completion certificate. This internship is open to students, freshers, and early professionals who have an interest in Artificial Intelligence, Machine Learning, and Data Science. While basic knowledge of Python, data handling, or ML libraries is preferred, it is not mandatory. What we value most is your strong curiosity to learn and apply analytical concepts. By joining our internship program, you will gain valuable exposure to AI techniques and Data Science workflows. This experience will help enhance your skills for future roles in analytics, research, and technology. If you are eager to learn and grow in the field of AI and Data Science, we encourage you to apply before the deadline on 25th August to be part of our upcoming batch.,

As an established global provider of business process and technology management services, Sutherland offers a wide range of analytics-driven solutions to support the entire customer lifecycle. With over 30 years of experience, we have been helping customers across various industries achieve greater agility through transformed and automated customer experiences. We are currently looking for a skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. In this role, you will be responsible for managing cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models. Your responsibilities will include managing day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design. You will lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows. Additionally, you will translate architectural blueprints into executable components, prototypes, and production-ready services. You will oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph. Supervising the integration of AI services with business systems and ensuring model outputs are usable, interpretable, and reliable will also be part of your role. Monitoring project KPIs, technical progress, and resource allocation, and escalating risks and blockers as needed will be essential. You will review code, support reusable component development, and enforce engineering best practices. Moreover, coaching and mentoring junior engineers and analysts within the AI team will also be expected from you. To qualify for this role, you should have at least 7 years of experience in AI/ML engineering or software development, with 2-3 years in team leadership roles. Experience delivering projects using GenAI, LLMs, or Transformer models is required. A solid understanding of prompt engineering, APIs, data preprocessing, and model integration is essential. Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch, HuggingFace, LangChain, etc.) is necessary. Exposure to vector databases and RAG architectures for enterprise knowledge retrieval is beneficial. Strong organizational, problem-solving, and team leadership skills are a must. A Bachelors or Masters degree in computer science, AI, or related technical field is preferred. Preferred skills for this role include experience working in agile delivery environments with CI/CD pipelines and MLOps tools, familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks, prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains, and the ability to interface with business stakeholders to gather requirements and validate outcomes.,

As an AI/ML Engineer at our company located in Mohali Phase 8b, you will be responsible for developing and implementing machine learning models and AI solutions. Your role will involve working with large datasets, designing intelligent systems, and contributing to the development of scalable AI products. Your key responsibilities will include designing, training, and deploying machine learning models, collaborating with data scientists, engineers, and product teams, optimizing model performance for scalability, and working with frameworks such as TensorFlow, PyTorch, or Scikit-learn. To excel in this role, you should possess a strong understanding of ML algorithms, data preprocessing, and model evaluation. Proficiency in Python and experience with ML libraries are essential. Additionally, experience with cloud platforms like AWS, GCP, or Azure would be advantageous. A Bachelor's or Master's degree in Computer Science, AI, or a related field is required. It would be beneficial if you have experience in NLP, computer vision, or deep learning, as well as familiarity with MLOps and model deployment pipelines. This is a full-time, permanent position that requires you to work in person at our location in Mohali Phase 8b. If you are interested in this opportunity, please contact us at HR@base2brand.com or call us at +91 07833075330.,

Job Title: Data Scientist Experience: 4+ years Job Description: We are looking for a Data Scientist with strong expertise in building and deploying Machine Learning and Deep Learning models, along with hands-on experience in Large Language Models (LLMs) and Natural Language Processing (NLP). The ideal candidate should have a proven track record of solving business problems using traditional ML and DL techniques, with emerging skills in generative AI and LLMs. Key Responsibilities: Design, develop, and optimize ML/DL models for structured and unstructured data. (Must have) Apply NLP techniques for text classification, information extraction, and semantic understanding. Fine-tune and evaluate LLMs for domain-specific use cases. Collaborate with cross-functional teams to translate business requirements into data-driven solutions. Conduct model evaluation, performance monitoring, and explainability analysis. Required Skills: Strong proficiency in Python, ML libraries (scikit-learn, XGBoost, etc.), and DL frameworks (PyTorch/TensorFlow). Hands-on experience in feature engineering, model selection, and deployment. 1+ year experience with LLMs (e.g., GPT, BERT family, HuggingFace). Good understanding of NLP techniques such as embeddings, transformers, and text analytics. Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.

Job Role: ML Engineer Skills Required: ML Engineer Strong Python programming skills Hands-on experience with TensorFlow, especially in training custom models/modules Experience working with OpenAI's Whisper ASR (Automatic Speech Recognition) model

Job Description: Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! We are looking for a motivated and detail-oriented Entry-Level MLOps Engineer to support our machine learning lifecycle and deployment infrastructure. You will work closely with data scientists, ML engineers, and DevOps teams to streamline model deployment, automate workflows, and ensure scalable and reliable ML systems. As an Entry-Level MLOps Engineer, your key responsibilities will include assisting in deploying, monitoring, and maintaining machine learning models in production. You will also help build and automate ML pipelines for data ingestion, training, validation, and deployment. Collaborating with cross-functional teams to integrate ML models with applications and services will be an essential part of your role. Monitoring model performance, implementing alerts, logging, and automated retraining if needed, are crucial tasks you will undertake. Additionally, supporting versioning and lifecycle management of datasets and models using tools like MLflow or DVC, contributing to CI/CD pipelines tailored for ML systems, and documenting workflows, configurations, and deployment practices are all integral components of your responsibilities. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. An understanding of machine learning concepts and the model lifecycle is necessary. Basic knowledge of Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch is essential. Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. Exposure to containerization tools like Docker and orchestration tools like Kubernetes would be advantageous. An interest in DevOps principles and automation is highly desired for this role.,

As an AI, ML & Automation Instructor/Trainer located in Chennai, Tamil Nadu, you will be responsible for designing and delivering comprehensive training programs ranging from beginner to advanced levels. Your role will involve mentoring learners and instructors, leading workshops, and creating scalable curriculum assets for global reach. Your key responsibilities will include designing multi-level AI/ML/Automation training tracks and resources, conducting engaging virtual and in-person training sessions, guiding instructors, organizing train-the-trainer programs, and ensuring the quality of training content. Additionally, you will be tasked with customizing training programs for corporate and academic clients while fostering community engagement through various events, blogs, and meetups. The ideal candidate for this position should possess a minimum of 5 years of experience in AI/ML/Automation with hands-on project experience. A strong teaching background in bootcamps, universities, or corporate settings is essential. Proficiency in Python, ML libraries such as scikit-learn, PyTorch, TensorFlow, and RPA tools like UiPath and Automation Anywhere is required. You should be a data-driven educator with a deep passion for cutting-edge AI technologies and impactful learning, along with excellent collaboration and mentoring skills. Preferred skills for this role include certifications in adult learning, knowledge of MLOps, experience with cloud AI tools and Big Data, as well as a track record of community contributions through open-source projects, blogs, or public speaking engagements. In return, we offer a full-time position with benefits such as Provident Fund, along with opportunities for continuous learning and professional development. This role provides a high-impact opportunity to shape the future of AI education and contribute to the next wave of AI educators.,

We are searching for a Senior Data Scientist with a solid background in machine learning, data analysis, and an increasing proficiency in LLMs and Gen AI. You should have a strong passion for uncovering insights from data, suggesting impactful use cases, and developing intelligent solutions that enhance business value. Your responsibilities will include analyzing both structured and unstructured data to identify trends, patterns, and opportunities. You will be required to propose and validate AI/ML use cases based on business data and stakeholder requirements. Additionally, building, evaluating, and deploying machine learning models for classification, regression, clustering, and more will be a key part of your role. You will work with LLMs and GenAI tools to prototype and integrate intelligent solutions such as chatbots, summarization, and content generation. Collaborating with data engineers, product managers, and business teams to provide end-to-end solutions is essential. Ensuring data quality, model interpretability, and ethical AI practices will also be part of your responsibilities. Documenting experiments, sharing findings, and contributing to knowledge sharing within the team are also expected. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 3-4 years of hands-on experience in data science and machine learning is required. Proficiency in Python and ML libraries is a must. Experience with data wrangling, feature engineering, and model evaluation is highly desirable. Exposure to LLMs and GenAI tools like Hugging Face, LangChain, and OpenAI APIs is preferred. Familiarity with cloud platforms such as AWS, GCP, or Azure, as well as version control using Git, is advantageous. Strong communication and storytelling skills with a data-driven mindset are essential qualities for this role. Please note that the final discussion round will be conducted face-to-face. This is a full-time position located in person.,

You are looking for a Data Scientist specializing in NLP and conversational AI to join a core team that focuses on real-time voice intelligence. In this role, you will be responsible for building systems that involve intent detection, generative reasoning, and speech/audio insights to develop responsive and persuasive AI callbots. This position is suited for individuals who excel in applied NLP and voice technology and are passionate about creating scalable AI systems that are natural and human-like. As a Data Scientist specializing in NLP & Conversational AI, you will be based in Gurugram and should have at least 2 years of experience. This is a full-time position where you will work collaboratively with the engineering teams to deploy NLP models in real-time inference systems. Your responsibilities will include building and refining models for intent recognition, speech act classification, and response routing. Additionally, you will design lightweight NLP classifiers and heuristics to optimize LLM usage, and enhance conversational dynamics using various techniques such as turn-taking prediction and pause detection. To excel in this role, you should have proficiency in NLP frameworks such as HuggingFace Transformers, spaCy, NLTK, fastText, and Sentence Transformers. Familiarity with ML libraries like scikit-learn, PyTorch, TensorFlow, and LightGBM is essential. Experience in audio signal processing techniques like MFCCs, VAD, filler detection, and silence segmentation would be beneficial. Knowledge of real-time or low-latency model design, RAG pipelines, dialog state management, dialogue act tagging, and conversational UX design is also required. Preferred or bonus skills that would be advantageous include familiarity with Whisper, Coqui, Bark, or other open-source STT/TTS models, prompt engineering, LLM optimization, and experience with streaming inference architectures or edge AI. Exposure to hybrid response generation systems and the use of experiment tracking tools like MLflow or Weights & Biases would be a plus. The ideal candidate should be comfortable working in fast-paced and ambiguous environments, possess startup or early-stage product experience, and showcase a strong applied portfolio with GitHub repositories, notebooks, demos, or a track record in Kaggle/NLP competitions. Additionally, having an eagerness to develop production-ready, real-time ML features along with qualities like curiosity, creativity, and a collaborative mindset are highly valued for this role.,

You will be responsible for leading and conducting independent validations of AI/ML models (traditional and Generative AI) within various financial domains such as consumer and commercial credit risk, marketing, fraud, and AML. Your primary focus will be to ensure the accuracy, reliability, and compliance of models by overseeing and performing thorough validations. Additionally, you will drive AI validation projects by planning, executing, and ensuring successful implementation aligned with organizational goals. Engaging with different departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment is essential. Your role will also involve contributing expertise to the development of policies guiding AI practices and model risk management, ensuring regulatory compliance and ethical standards are met. Staying updated on the evolving regulatory landscape surrounding AI and ML will be crucial. Furthermore, you will be responsible for mentoring and developing team members to foster a culture of collaboration and build a strong, knowledgeable team. Utilizing Google Cloud Platform (GCP) to automate workflows, enhance efficiency, and improve process integration will be part of your responsibilities. You will also contribute to designing and executing model testing and monitoring processes. To be successful in this role, you should have at least 6 years of model validation or Model Risk Management experience, preferably within the banking and financial services domain, with a deep understanding of industry-specific requirements and challenges. Demonstrated expertise in AI techniques such as Machine Learning, natural language processing, and deep learning, along with experience using ML libraries like TensorFlow, Keras, PyTorch, Scikit-learn, or equivalent, is required. Additionally, you should have a minimum of 1 year of experience supervising projects and team members, showcasing your ability to manage multiple projects and stakeholders effectively. A foundational knowledge of Generative AI, with relevant coursework, is necessary. Advanced programming skills in Python and SQL are essential, along with strong interpersonal skills to lead teams, manage client relationships, and collaborate effectively with partners. Experience collaborating with partners, stakeholders, and teams across multiple geographies and organizational levels is advantageous. You should possess in-depth knowledge of regulations surrounding AI in the banking industry and practical experience in credit risk and fraud models. The ability to articulate complex concepts clearly to diverse stakeholders with varying levels of technical proficiency is crucial. Ideally, you should hold a Master's degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science, or a related discipline, demonstrating a high level of expertise and commitment to the field. Experience in developing, validating, or implementing Gen AI models, prior regulatory modeling development experience, and hands-on experience with cloud-based platforms like GCP and AWS would set you apart. Excellent communication and presentation skills would be an added advantage.,

As an MLOps Engineer at Barclays, you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions. Your main focus will be on ensuring scalable, secure, and efficient deployment across the infrastructure. Collaborating closely with data scientists, ML engineers, and business stakeholders, you will build and maintain robust MLOps pipelines. These pipelines will enable rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To excel in this role, you should have strong programming skills in Python and hands-on experience with ML libraries such as scikit-learn, TensorFlow, and PyTorch. Additionally, familiarity with automation tools like Jenkins, GitHub Actions, or GitLab CI/CD for automating ML pipelines is essential. Proficiency in Docker and Kubernetes for scalable deployments, along with deep experience in utilizing AWS services like SageMaker, Bedrock, Lambda, and CloudFormation, is crucial. Your responsibilities will also involve managing infrastructure for training and inference using AWS services such as S3, EC2, EKS, and Step Functions. Experience with Infrastructure as Code tools like Terraform and AWS CDK, as well as model lifecycle management tools like MLflow and SageMaker Model Registry, will be beneficial. Understanding DevOps principles applied to ML workflows is key to success in this role. Additionally, highly valued skills may include experience with Snowflake, Databricks for collaborative ML development, and knowledge of data engineering tools like Apache Airflow, Kafka, and Spark. An understanding of model interpretability, responsible AI, and governance will further enhance your contributions. Involvement in open-source MLOps tools or communities, strong leadership, communication, and cross-functional collaboration skills, as well as knowledge of data privacy, model governance, and regulatory compliance in AI systems, will be advantageous. This role is based out of Pune and aims to build and maintain infrastructure platforms and products that support applications and data systems. Your accountability will involve developing, delivering, and maintaining high-quality infrastructure solutions that meet business requirements. You will play a crucial role in incident management, automation, security implementation, teamwork, and continuous learning to ensure the reliability, availability, and scalability of systems and platforms. If you are an Assistant Vice President in this role, you will be expected to advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. Collaboration with other functions/business divisions, leadership of complex tasks, and coaching employees towards objectives will be part of your responsibilities. For individual contributors, leading collaborative assignments, guiding team members, identifying new directions for projects, and consulting on complex issues will be key tasks. All colleagues are expected to demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive.,

As a Senior Data Scientist, you will utilize your expertise in machine learning, data analysis, and emerging technologies such as LLMs and Gen AI to extract valuable insights from data. Your role involves identifying trends, patterns, and opportunities within structured and unstructured data sets. Proposing and validating AI/ML use cases based on business requirements and stakeholder needs will be a crucial aspect of your responsibilities. You will be responsible for building, evaluating, and deploying machine learning models for various tasks such as classification, regression, and clustering. Additionally, you will collaborate with cross-functional teams to develop intelligent solutions using LLMs and GenAI tools like chatbots, summarization, and content generation. Ensuring data quality, model interpretability, and ethical AI practices will be integral to your work. Documentation of experiments, sharing findings, and active participation in knowledge sharing within the team are also key responsibilities that you will undertake. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 3-4 years of hands-on experience in data science and machine learning is required. Proficiency in Python and ML libraries, along with experience in data wrangling, feature engineering, and model evaluation, is essential. Familiarity with LLMs and GenAI tools such as Hugging Face, LangChain, and OpenAI APIs is preferred. Exposure to cloud platforms like AWS, GCP, or Azure, and version control systems like Git, will be advantageous. Strong communication and storytelling skills, coupled with a data-driven mindset, are qualities that will help you succeed in this role.,

As an AI/ML Agent Developer at EXL, you will play a crucial role in designing, developing, and deploying intelligent agents within a multi-agent orchestration framework. Your primary responsibility will be to create autonomous agents that utilize LLMs, reinforcement learning, prompt engineering, and decision-making strategies to handle complex data and workflow tasks. Working closely with cross-functional teams, you will help in implementing AI solutions across various use cases such as annotation, data quality, knowledge graph construction, and enterprise automation. Your key responsibilities will include designing and implementing modular AI agents capable of autonomous decision-making, engineering prompt strategies for task-specific agent workflows, integrating ML models into agent behavior pipelines, contributing to multi-agent orchestration logic, collaborating with different teams for deployment at scale, and monitoring and refining agent performance. To be successful in this role, you are required to have a Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field along with at least 3 years of experience in developing AI/ML systems. You should also possess proficiency in Python and ML libraries, experience with LLM frameworks, a strong grasp of NLP, reinforcement learning, and decision systems, as well as knowledge of cloud environments and CI/CD for AI systems. Preferred skills include familiarity with multi-agent frameworks, experience in building autonomous AI applications for data governance, annotation, or knowledge extraction, background in human-in-the-loop systems, and understanding of vector databases and semantic search. By joining our team, you will have the opportunity to work at the forefront of AI orchestration and intelligent agents, collaborate with a high-performing team driving innovation in enterprise AI platforms, and shape the future of AI-based automation in real-world domains like healthcare, finance, and unstructured data.,

As a Senior Data Scientist, you will leverage your expertise in machine learning, data analysis, and emerging technologies such as LLMs and Gen AI to drive business impact. Your primary responsibilities will include analyzing structured and unstructured data to uncover valuable insights, proposing AI/ML use cases aligned with business goals, and developing and deploying machine learning models for various purposes like classification, regression, and clustering. You will work collaboratively with cross-functional teams, including data engineers, product managers, and business stakeholders, to deliver end-to-end intelligent solutions. Utilizing tools like LLMs and GenAI, you will prototype and integrate innovative solutions such as chatbots, summarization, and content generation. It will be crucial to ensure the quality of data, interpretability of models, and adherence to ethical AI practices throughout the process. To be successful in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field, along with 3-4 years of practical experience in data science and machine learning. Proficiency in Python and ML libraries is essential, as well as hands-on experience in data wrangling, feature engineering, and model evaluation. Additionally, familiarity with LLMs and GenAI tools like Hugging Face, LangChain, and OpenAI APIs, as well as experience with cloud platforms (AWS, GCP, or Azure) and version control systems like Git, will be advantageous. Strong communication skills and a data-driven mindset are also key attributes required for this role.,

The Forward Deployed Engineer (FDE) - AI Enablement is a senior-level position where you will be responsible for achieving results through solutioning, developing, and implementing AI/ML capabilities as an individual contributor. As an FDE - AI Enablement, you are expected to stay updated on the latest developments in Citi and your field, contributing to the directional strategy by identifying applications within your organization and the business. Your key responsibilities will include enhancing the current toolset with AI/ML capabilities, solutioning for identified use cases, building quick proof-of-concept to showcase solutions, collaborating with the larger AI/ML stream across the data organization, and utilizing your in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications. Additionally, you will be involved in formulating strategies for applications development and other functional areas, gaining comprehensive knowledge of how different business areas integrate to achieve business objectives, and providing evaluative judgment based on the analysis of factual data in complex and unique situations. To be successful in this role, you should have at least 10 years of experience in AI/ML, preferably within the financial industry. Hands-on experience in Python and utilizing ML Libraries such as TensorFlow, Scikit-learn, and Pytorch for Big Data is required. You should also have practical experience with LLMs and GenAI APIs (such as OpenAI GPT, Bard, etc.), applying Machine Learning or NLP models in real-time applications for large datasets, working with MLOPs and Model Deployment Pipelines, using PySpark and understanding big data concepts. Knowledge in Azure OpenAI, Google Vertex, and Stellar is considered a plus. Stakeholder management experience, demonstrated leadership skills, and proven project management skills are also essential for this role. A Bachelor's/University degree is required, with a Master's degree being preferred. This position falls under the Technology job family group and specifically in the Applications Support job family. It is a full-time role. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details on Citis EEO Policy Statement and the Know Your Rights poster, please refer to the respective documents.,

You should have at least 2-7 years of experience in software engineering and ML development. Proficiency in Python and ML libraries like Scikit-learn, TensorFlow, or PyTorch is essential. Your responsibilities will include building and evaluating models, data preprocessing, and feature engineering. It is important to have a good understanding of REST APIs, Docker, Git, and CI/CD tools. A strong foundation in software engineering principles such as data structures, algorithms, and design patterns is required. Hands-on experience with MLOps platforms like MLflow, TFX, Airflow, and Kubeflow is preferred. Exposure to NLP, large language models (LLMs), or computer vision projects will be beneficial for this role. Experience with cloud platforms such as AWS, GCP, and Azure, as well as managed ML services, is a plus. Any contributions to open-source ML libraries or participation in ML competitions like Kaggle or DrivenData will be considered an advantage.,

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 seasoned leader in the field of Data, AI, and Automation, you will be responsible for packaging business solutions with clear ROI and effectively communicating the benefits to customers. You will play a crucial role in managing the P&L of the practice, leading a team of Architects, Technical Leads, and Engineers, and ensuring the smooth functioning of the entire team. Your ability to create and nurture a high-performing engineering team will be paramount, as you define and execute the organization's vision to be a leader in the Data, AI, and Automation space. You will set KPIs and objectives for the team that align with the organizational goals, and oversee the efficient allocation of personnel across various engagements. In this role, you will be required to design, architect, and implement cutting-edge Data & AI ML solutions and architectures, while adhering to best practices and principles. Your expertise will be utilized to lead initiatives, provide technical guidance, and drive business development in the realm of Data Science, AI, and ML. Additionally, you will be expected to stay abreast of emerging trends and best practices in Data AI and Automation, and leverage your expertise to lead and grow a superior organization of technical talent. Collaborating with peer engineering teams, you will gather technical requirements to shape Data, AI, and Automation technology roadmaps. Your responsibilities will also include enabling sales strategies with Data & AI solutions, representing the company in industry events, nurturing alliances and partnerships, and developing practice branding artifacts that showcase thought leadership. **Mandatory Qualifications:** - Possess over 15 years of experience in working on highly distributed and scalable enterprise applications - Demonstrate a deep understanding of Data warehouses, Big Data, AI ML, and Automation technologies with over 10 years of experience - Knowledge in Generative AI is desirable - Hands-on experience in developing and implementing machine learning algorithms, utilizing relevant programming languages and big data tools - Proficiency in evaluating and selecting algorithms and tools for projects - Extensive experience in advanced ML techniques such as neural networks, deep learning, and reinforcement learning - Familiarity with open-source technologies, ML libraries, and programming languages - Strong understanding of cloud platforms and their services for implementing Big Data and AI ML solutions - Appreciation of CI/CD processes and tools, guiding the team in decision-making related to CI/CD strategies - Experience with Agile development management tools and API/Microservices architecture-based systems development - Excellent communication, leadership, and interpersonal skills - Strong solutioning and presentation skills - Previous experience in Presales and Enterprise systems integration - Ability to envision and develop innovative solutions and accelerators,

You will be working as a Machine Learning Intern for a duration of 6 months with a stipend of 20k per month. The internship involves a hybrid mode of working, with 3 days in the office and 2 days working from home. Your primary responsibilities will include designing and implementing cutting-edge machine learning models for complex tabular and time series data problems. Additionally, you will be tasked with developing innovative feature engineering techniques to maximize the value extracted from datasets. Researching and applying state-of-the-art algorithms in areas like automated machine learning (AutoML) and neural architecture search will also be part of your role. Furthermore, you will optimize models for performance and scalability in resource-constrained environments, contribute to the development of the company's core ML infrastructure and pipelines, and collaborate on end-to-end ML projects from problem definition to deployment and monitoring. Your involvement in strategic discussions to identify new opportunities for ML applications within the business and conducting independent research to stay updated on the latest ML advancements for tabular and time series data will be crucial. To excel in this role, you should possess a strong theoretical understanding of machine learning concepts, statistical modeling, and optimization techniques. Proven experience in developing and deploying ML models for tabular and time series data, along with advanced programming skills in Python and expertise in ML libraries and frameworks, is essential. Proficiency in working with large-scale datasets and distributed computing environments, as well as experience with modern ML techniques such as gradient boosting, neural networks, and ensemble methods, are also required. Preferred qualifications include contributions to open-source ML projects or research publications, as well as experience with cloud-native ML development and deployment. This internship offers a unique opportunity to work on cutting-edge AI and blockchain intersection projects, contributing to the company's growth and innovation in the field of machine learning.,

As an IoT & AI Intern at Bharat Ecolabs, you will have the opportunity to support the development and integration of sensor networks, data pipelines, and AI models for our smart, modular Packaged Sewage Treatment Plants (STPs). Working out of the NASSCOM Center of Excellence for IoT & AI in Gurugram, you will collaborate closely with our core engineering team. Your key responsibilities will include assisting in the design and development of IoT-enabled sensor and control systems for STPs, building and testing data acquisition modules using sensors for various parameters, developing cloud-based or edge data pipelines for real-time monitoring, and supporting the development of AI/ML models for fault detection and efficiency optimization. Additionally, you will contribute to the creation of dashboards or mobile interfaces for STP data visualization and alerts, as well as conduct testing and debugging of IoT prototypes on pilot installations. The ideal candidate for this role would be a final year student or recent graduate in Electronics, Computer Science, AI, Mechatronics, or related fields with hands-on experience in microcontrollers like Arduino, ESP32, or Raspberry Pi. You should also have familiarity with sensor integration, basic electronics, and communication protocols such as MQTT, Modbus, or LoRa. Proficiency in Python, basic ML libraries like scikit-learn or TensorFlow, and cloud platforms like AWS, Azure, or GCP is desired. Strong problem-solving skills and a passion for applying technology in real-world clean tech solutions are essential for success in this role. Joining us as an IoT & AI Intern at Bharat Ecolabs will provide you with real-world exposure to applied IoT and AI in environmental engineering, mentorship from a passionate founding team, and access to the NASSCOM CoE ecosystem. Upon successful completion of the internship, you will receive a formal Experience Certificate, and there is a possibility to convert the internship into a full-time role based on performance and mutual interest.,