7846 Artificial Intelligence Jobs - Page 33

NOTE: Candidate should be available for the interview on 2nd Aug Virtually . Immediate to 30 days notice period only. Preferred Qualifications: Experience in AI/ML in the healthcare sector Experience working with cross-functional and distributed teams in a global and diverse environment Experience in establishing AI/ML best practices, standards, RUAI, and ethics Required Qualifications: Proven solid Python programming skills and experience with deep learning popular frameworks such as PyTorch Proficiency in SQL and other programming languages for data analysis and modeling Proficiency with cloud development environments such as Azure, AWS, and GCP Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM) Experience with LLM frameworks and/or NLP approaches such as text embedding Experience working on collaborative software projects using GitHub Proven solid technical communication skills Experience with both traditional machine learning algorithms and modern deep learning and generative AI models Proven good knowledge of GPU use, and the ability to rapidly set up pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Skill Set; NLP, NLU, NLI, Transformers, Attention, GPT, Llama, Mistral, Model Quantization, Model Optimization, Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing, and presentation skills Proven advanced understanding of Deep Learning with applications in Time series Processing, NLP, and multimodal modeling GenAI Model Utilization and Optimization Ability to utilize state-of-the-art GenAI models, understand and explain power and limitation of GenAI models Ability to utilize GenAI model for custom solutions, exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Clear understanding and training to handle sensitive data, how to use that safely with GenAI and any other AI models, how deal with restriction and comply with best practices at all time AI/ML Development and Deployment Develop novel AI approaches for healthcare using both structured and unstructured data Ability to utilize GenAI models and build and test deep learning and/or traditional ML models in cloud computing environment Perform data analysis, pre-processing, and feature engineering required to ensure quality and reliability of the AI models and optimize them for performance and robustness Develop and deploy big data pipelines and frameworks for data ingestion, processing, and analysis Develop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU and multidimensional time series forecasting among others Ability to understand document processing, image processing and NLP and bridging the domain knowledge Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Experimentation and Analysis Design and plan custom experiments, conduct statistical analysis and create data visualizations, and present and communicate in standardized format Run A/B experiments, gather data, and perform statistical analysis Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Collaboration and Communication Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions Best Practices and Documentation Understand full end-to-end machine learning development process Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Innovation and Research Stay up to date with latest technologies and literature Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Research and implement innovative machine learning model, module and approaches Present findings and insights to team members and if required to senior Project and Technology Management Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building GenAI, NLP, ML & AI solutions

Immediate Joiner Remote Responsibilities: * Design, develop, test & maintain Java fullstack apps using AI technologies. * Collaborate with cross-functional teams on project requirements and deliverables.

Position: Junior Software Engineer (AI & Data Structures) Location: Nagpur Job Type: Full Time About the Role: We are seeking a driven and talented fresher with internship experience to join our engineering team. As a Junior Software Engineer, youll contribute to building efficient, scalable software solutions with a strong emphasis on Artificial Intelligence and data structures in C programming. Key Responsibilities: Develop and maintain reliable, high-performance code in C, focusing on data structures and algorithms. Support the design and implementation of AI models and algorithms under the mentorship of senior engineers. Collaborate with cross-functional teams to gather requirements and contribute to innovative technical solutions. Stay updated with the latest trends and best practices in AI and software development. Qualifications: Bachelors degree in Artificial Intelligence, Data Science, Computer Science, Engineering, or a related field. Prior internship experience demonstrating hands-on application of AI concepts and C programming. Strong grasp of data structures, algorithms, and their implementation in C. Familiarity with AI/ML concepts, tools, and frameworks. Strong analytical and problem-solving skills with a willingness to learn and adapt quickly. Excellent communication and teamwork abilities.

Experience in programming skills in languages such as Python, SQL/NoSQL, C#, C Experience in deploying machine learning models and AI algorithms Experience in GEN AI models such as OpenAI, Runway ML, Google Gemin Development and Deployment of AI/ML and deep learning solutions Experience frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Developing API using Flask/Django. Experience in Gen AI, Vector DB/Embeddings, LLM (Large language Model)

Experience : 3 to 5 years Job Type: Hybrid Location: Hyderabad About the Role: We are seeking a highly skilled and motivated Machine Learning Specialist with a strong background in data science and a deep understanding of clinical supply chain/Supply Chain operations . This role will be instrumental in developing predictive models, optimizing logistics, and driving data-driven decision-making across our clinical trial supply chain. Key Responsibilities: Design, develop, and deploy machine learning models to forecast clinical supply needs, optimize inventory, and reduce waste. Collaborate with clinical operations, supply chain, and IT teams to identify data sources and integrate ML solutions into existing workflows. Analyze large datasets from clinical trials, logistics systems, and external sources to uncover trends and actionable insights. Develop tools and dashboards to support real-time decision-making and scenario planning. Ensure model performance, scalability, and compliance with regulatory standards (e.g., GxP, 21 CFR Part 11). Stay current with advancements in ML/AI and apply best practices to clinical supply chain challenges. Qualifications: Masters or PhD in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in machine learning, data science, or AI, preferably in a healthcare or life sciences setting. Hands-on experience with clinical supply chain processes, including demand forecasting, IRT systems, and logistics planning. Proficiency in Python, R, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Strong understanding of statistical modeling, time series forecasting, and optimization techniques. Excellent communication skills and ability to work cross-functionally in a fast-paced environment. Preferred: Experience with clinical trial data (e.g., EDC, CTMS, IRT). Familiarity with regulatory requirements in clinical research. Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.

If so, then this AI/ML engineer role with a focus on generative AI might be the perfect fit for you!While prior experience in GenAI is not mandatory, a good understanding or knowledge of GenAI concepts and applications would be beneficial Requirements Bachelors in Computer Science or equivalent degree 2 to 3 years of experience Must have strong analytical and problem-solving skills Strong foundations in Artificial Intelligence & Machine Learning concepts Personal project experience involving AI/ML technologies or applications would be highly advantageous Proven experience in designing, developing, and deploying machine learning models Familiarity with large language models (LLMs) and prompt engineering techniques Must have done projects in any of the following backend technologies: Python, Golang, NodeJS Understanding of deep learning frameworks (TensorFlow, PyTorch, etc) Experience with data manipulation libraries (pandas, NumPy) Strong foundation in engineering and programming concepts: Data structures and Algorithms, Object Oriented Programming, Databases, and System Design Good foundations in SQL, No-SQL, and Vector databases Bonus points for experience working with Google Cloud AI services such as Big QueryML, VertexAI, or Document AI offerings Good understanding of microservices, and RESTful API design Familiarity working with version control tools such as Bitbucket or Github Should be a goal-oriented individual with integrity and a continuous drive to learn and grow Responsibilities Collaborate with senior engineers to design and develop GenAI solutions on Google Cloud for client projects Prepare and pre-process data for model training, including data cleaning, feature engineering, and transformation Integrate generative AI models into production pipelines, monitoring their performance and making adjustments as needed Design and develop RAG-based systems for various applications (e-g , question answering, summarization, creative text generation) Participate in the testing, debugging, and optimization of GenAI applications Stay up-to-date on the latest advancements in generative AI models and techniques and identify opportunities to integrate them into existing products or develop entirely new ones Actively participate in an Agile-centric environment with team meetings, brainstorming sessions, and knowledge-sharing activities Act according to task prioritization and deliver on commitments with a sense of urgency Proactively learn about code and development best practices, take self-responsibility towards becoming an independent and reliable team member Actively seek feedback from their teammates and manager, and use the feedback as a tool for growth Document your work clearly and concisely for future reference and collaboration

We are looking for a skilled and creative Generative AI Engineer with 3 to 4 years of experience to join our AI/ML team. You will work on designing, fine-tuning, and deploying generative models (text, image, audio, or multi-modal) that power next-gen AI applications across business verticals. This is a hands-on role requiring a solid understanding of deep learning, model training/inference pipelines, and deployment best practices. Key Responsibilities • Build and fine-tune generative models using transformer architectures (e.g., GPT, LLaMA, T5, BERT) and diffusion models (e.g., Stable Diffusion). • Integrate LLMs into production workflows using APIs or custom backends. • Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases like FAISS, Qdrant, or Pinecone. • Optimize prompt engineering and chain-of-thought logic for domain-specific tasks. • Evaluate model outputs for accuracy, relevance, hallucination rate, and latency. • Collaborate with product and engineering teams to turn prototypes into scalable systems. • Contribute to model monitoring, drift detection, and feedback loops for continual improvement. Required Skills • 23 years of experience working with machine learning models, with a focus on generative AI. • Proficient in Python and libraries such as PyTorch, TensorFlow, Transformers (Hugging Face). • Hands-on experience with OpenAI API, LangChain, or LlamaIndex. • Familiarity with vector databases (FAISS, Qdrant, Pinecone) and embedding models. • Strong understanding of LLM behavior, including prompt design, token limits, and context handling. • Experience deploying models using FastAPI, Docker, and cloud platforms (AWS, GCP, or Azure). • Good grasp of model evaluation, explainability, and safety techniques. Preferred Qualifications • Experience with multimodal AI (e.g., text-to-image, text-to-audio). • Exposure to MLOps workflows, CI/CD for ML pipelines. • Contributions to open-source AI projects or research papers. • Knowledge of privacy-preserving AI, RLHF, or federated learning is a plus.

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Manager of Software Engineering - Cloud at JPMorgan Chase, you will lead a team of cloud engineers to develop and implement scalable, reliable, and secure cloud-based solutions. You will play a pivotal role in shaping the cloud strategy and architecture, ensuring alignment with business goals and technical requirements. Your leadership will drive innovation and operational excellence in cloud technologies, fostering a collaborative environment to achieve project objectives. Job Responsibilities Lead and mentor a team of cloud engineers, fostering a culture of innovation and continuous improvement. Collaborate with technical teams and business stakeholders to propose and implement cloud solutions that meet current and future needs. Define and drive the technical target state of cloud products, ensuring alignment with strategic goals. Participate in architecture governance bodies to ensure compliance with best practices and standards. Evaluate and provide feedback on new cloud technologies, recommending solutions for future state architecture. Oversee the design, development, and deployment of cloud-based solutions on AWS, utilizing services such as EC2, S3, Lambda, and RDS. Integrate DevOps practices, including Infrastructure as Code (IaC) using tools like Terraform and AWS CloudFormation, and Configuration Management with Ansible or Chef. Establish and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, GitLab CI, or AWS CodePipeline. Identify opportunities to automate remediation of recurring issues to improve operational stability of cloud applications and systems. Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials. Required Qualifications, Capabilities, and Skills Formal training or certification in cloud engineering concepts with 5+ years of applied experience. Proven experience in leading cloud engineering teams and delivering cloud solutions. Advanced proficiency in one or more programming languages. Expertise in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle, with a focus on cloud technologies. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated proficiency in cloud applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ). Practical cloud-native experience, particularly with AWS services and architecture, including VPC, IAM, and CloudWatch. Preferred Qualifications, Capabilities, and Skills In-depth knowledge of the financial services industry and their IT systems. Advanced knowledge of cloud software, applications, and architecture disciplines. Ability to evaluate current and emerging cloud technologies to recommend the best solutions for the future state architecture. We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Manager of Software Engineering - Cloud at JPMorgan Chase, you will lead a team of cloud engineers to develop and implement scalable, reliable, and secure cloud-based solutions. You will play a pivotal role in shaping the cloud strategy and architecture, ensuring alignment with business goals and technical requirements. Your leadership will drive innovation and operational excellence in cloud technologies, fostering a collaborative environment to achieve project objectives. Job Responsibilities Lead and mentor a team of cloud engineers, fostering a culture of innovation and continuous improvement. Collaborate with technical teams and business stakeholders to propose and implement cloud solutions that meet current and future needs. Define and drive the technical target state of cloud products, ensuring alignment with strategic goals. Participate in architecture governance bodies to ensure compliance with best practices and standards. Evaluate and provide feedback on new cloud technologies, recommending solutions for future state architecture. Oversee the design, development, and deployment of cloud-based solutions on AWS, utilizing services such as EC2, S3, Lambda, and RDS. Integrate DevOps practices, including Infrastructure as Code (IaC) using tools like Terraform and AWS CloudFormation, and Configuration Management with Ansible or Chef. Establish and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, GitLab CI, or AWS CodePipeline. Identify opportunities to automate remediation of recurring issues to improve operational stability of cloud applications and systems. Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials. Required Qualifications, Capabilities, and Skills Formal training or certification in cloud engineering concepts with 5+ years of applied experience. Proven experience in leading cloud engineering teams and delivering cloud solutions. Advanced proficiency in one or more programming languages. Expertise in automation and continuous delivery methods. Proficient in all aspects of the Software Development Life Cycle, with a focus on cloud technologies. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated proficiency in cloud applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ). Practical cloud-native experience, particularly with AWS services and architecture, including VPC, IAM, and CloudWatch. Preferred Qualifications, Capabilities, and Skills In-depth knowledge of the financial services industry and their IT systems. Advanced knowledge of cloud software, applications, and architecture disciplines. Ability to evaluate current and emerging cloud technologies to recommend the best solutions for the future state architecture.

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer and Community Banking Technology team, you will be part of an agile team dedicated to enhancing, designing, and delivering software components for the firms cutting-edge technology products in a secure, stable, and scalable manner. As a developing member of the software engineering team, you will implement software solutions by designing, developing, and troubleshooting various components within technical products, applications, or systems, while acquiring the skills and experience necessary for career growth in your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Consumer and Community Banking Technology team, you will be part of an agile team dedicated to enhancing, designing, and delivering software components for the firms cutting-edge technology products in a secure, stable, and scalable manner. As a developing member of the software engineering team, you will implement software solutions by designing, developing, and troubleshooting various components within technical products, applications, or systems, while acquiring the skills and experience necessary for career growth in your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

As a Software Engineer III at JPMorgan Chase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in Axiom, Oracle, PLSQL, Unix Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with Kubernetes, Jules CI/CD Exposure to cloud technologies As a Software Engineer III at JPMorgan Chase within the Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in Axiom, Oracle, PLSQL, Unix Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with Kubernetes, Jules CI/CD Exposure to cloud technologies

Robotics Trainer About NxtWave NxtWave is one of Indias fastest-growing ed-tech startups , revolutionizing the 21st-century job market. NxtWave is transforming youth into highly skilled tech professionals through its CCBP 4.0 programs, regardless of their educational background. NxtWave is founded by Rahul Attuluri (Ex Amazon, IIIT Hyderabad), Sashank Reddy (IIT Bombay) and Anupam Pedarla (IIT Kharagpur). Supported by Orios Ventures, Better Capital, and Marquee Angels, NxtWave raised $33 million in 2023 from Greater Pacific Capital. As an official partner for NSDC (under the Ministry of Skill Development & Entrepreneurship, Govt. of India) and recognized by NASSCOM, NxtWave has earned a reputation for excellence. Some of its prestigious recognitions include: Technology Pioneer 2024 by the World Economic Forum, one of only 100 startups chosen globally Startup Spotlight Award of the Year by T-Hub in 2023 Best Tech Skilling EdTech Startup of the Year 2022 by Times Business Awards The Greatest Brand in Education’ in a research-based listing by URS Media NxtWave Founders Anupam Pedarla and Sashank Gujjula were honoured in the 2024 Forbes India 30 Under 30 for their contributions to tech education. NxtWave breaks learning barriers by offering vernacular content for better comprehension and retention. NxtWave now has paid subscribers from 650+ districts across India. Its learners are hired by over 2000+ companies including Amazon, Accenture, IBM, Bank of America, TCS, Deloitte, and more. Know more about NxtWave: https://www.ccbp.in Read more about us in the news : Economic Times | CNBC | Yourstory | VCCircle About NxtWave Institute of Advanced Technologies (NIAT) NIAT is NxtWave’s flagship 4 Years, on-campus program for Computer Science Education. It is designed to offer one of India’s most advanced industry-aligned curricula. Situated in the heart of Hyderabad's Tech landscape, NIAT’s new-age campus is surrounded by global giants like Google, Microsoft, Apple, Infosys, TCS, and many more providing students with unparalleled exposure to the world of technology. At NIAT, world-class software engineers are the mentors who work hand-in-hand with students, ensuring they graduate as industry-ready professionals. With a curriculum that seamlessly integrates real-world tech requirements, NIAT prepares students to thrive in an ever-evolving tech world. NIAT’s 2024-2028 admissions cycle was a massive success, with all seats filling up rapidly with a long waitlist for admissions, further solidifying NIAT’s reputation as the premier destination for aspiring tech leaders. Know more about NxtWave: https://www.ccbp.in Know more about NIAT: https://www.niatindia.com/ Read more about us in the news : Economic Times | CNBC | Yourstory | VCCircle Role Overview: We’re looking for an enthusiastic Robotics Trainer to deliver handson education in robotics, IoT, and AI for undergraduate students. In this role, you’ll craft and lead dynamic workshops and coursework that teach how to build, program, and operate robots. You’ll support students throughout each project, helping them bridge classroom concepts with real-world robotics challenges. Key Responsibilities Curriculum Development: Design and deliver robotics, IoT and AI training programs to undergraduate students. Hands-on Workshops: Lead interactive workshops and lab sessions where students assemble and program robots. Create engaging projects to reinforce learning. Equipment Maintenance: Manage the in-house robotics lab and ensure all hardware is operational. Perform routine troubleshooting and repairs. Collaboration: Work with faculty and curriculum designers to update content. Coordinate with other trainers to share best practices. Student Engagement: Promote STEM learning and inspire students’ interest in robotics and technology. Mentor and motivate students daily. Requirements Education: Bachelor’s degree in Robotics, Computer Science, Electronics/Electrical or Mechanical Engineering is preferred. Experience: 1–3 years of teaching or training experience in robotics or related fields is preferred. Teaching Skills: Ability to explain technical concepts clearly, engage learners, and adapt to different skill levels. Passion for education and a strong drive to help students succeed in the evolving tech industry. A collaborative mindset with the ability to work cross-functionally to bring ideas to life. Technical Skills & Programming Languages Languages: Strong proficiency in Python and C/C++, with the ability to write efficient embedded code for microcontrollers. Development Environments: Hands-on experience using Arduino IDE for hardware programming and VS Code for scalable project development. Frameworks & Libraries: Familiarity with ROS for robotic middleware, OpenCV for computer vision, and TensorFlow for integrating AI models. Simulation & Prototyping: Ability to simulate robot behavior in Gazebo or Webots and fabricate components using 3D printers and laser cutters. Tools: Proficient in using Git for version control, CAD tools like SolidWorks/AutoCAD for mechanical design, and Fritzing for circuit prototyping. IoT & Electronics: Practical skills in soldering, using diagnostic tools like multimeters and oscilloscopes, and programming Wi-Fi/Bluetooth microcontrollers. Hardware Kits: Experience working with educational kits like Arduino, Raspberry Pi, LEGO Mindstorms, VEX Robotics, and micro:bit in academic settings. Job Overview: Working days: 6 days a week Location : The primary work location will be Hyderabad; however, the trainer will be required to travel periodically to conduct workshops across NIAT partnered campuses in Delhi, Jaipur, Chennai, Kolhapur, Pune, Vijayawada, and Pondicherry. Type of employment: Full Time CTC: 4 to 6 LPA

Lead AI/ML tech projects using Agile/Scrum. Design, deploy & optimize ML models (NLP, predictive analytics). Drive AI automation & data-driven decisions. Cross-functional leadership.

Responsibilities: * Implement AI models using Python libraries like scikit-learn, TensorFlow. * Develop REST APIs with Django/Flask frameworks and ORMs. * Collaborate on code reviews and testing strategies.

AI Developer Req number: R5796 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re seeking an AI Developer who specializes in agentic AI frameworks—Langchain, LangGraph, CrewAI, or equivalents—and who can take both vision and language models from prototype to production. You will lead the design of multi agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end-to-end deep learning life cycle (training, scaling, deployment, and monitoring). This is a Full-time and Hybrid position. Job Description What You’ll Do Agentic AI Frameworks (Primary Focus): Architect and implement multiagent workflows using Langchain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decisionmaking, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability). Image Classification & Extraction: Build and finetune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable dataingestion, labelling, and augmentation pipelines. LLM FineTuning & RetrievalAugmented Generation (RAG): • Finetune openweight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domainspecific adapters. Deep Learning at Scale: Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI. MLOps & Production Excellence: Build robust APIs/microservices (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning. Collaboration & Mentorship: Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices. What You'll Need B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git. Demonstrable expertise in at least one agentic AI framework (Langchain, LangGraph, CrewAI, or comparable). Proven delivery of computervision models for image classification/extraction. Handson experience finetuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

We are seeking a Team Lead – Data Science & AI/ML on AWS who will be responsible for daily task execution oversight, delivery quality, SCRUM adherence, and team operations management for DS/AI/ML projects.

Job Description: We are looking for a highly skilled Automation Test Lead with in-depth knowledge of automation frameworks, tools, and testing strategies. The ideal candidate will have strong technical expertise in Java, JavaScript, and Selenium, along with experience in building and managing automation frameworks. The candidate will also be responsible for leading automation testing efforts across multiple platforms and ensuring high-quality software delivery through continuous integration and deployment. Strong expertise in Java, JavaScript , and automation tools like Selenium, Cucumber, and TestNG . Design and enhance test automation frameworks (Hybrid, Data-Driven, Keyword-Driven, BDD-Cucumber). Manage test automation efforts using Azure DevOps , Jenkins CI/CD , and Dockers . Database Experience : Hands-on experience with SQL Server or Oracle . Experience in API/Service layer testing using POSTMAN . Develop Non-UI/API scripts using Java and libraries like Rest Assured or similar Java libraries. Develop mobile automation scripts using Appium for iOS and Android devices. Knowledge of mobile cloud platforms such as Cloudy or BrowserStack . Build highly scalable and reusable test automation frameworks . Manage automation testing resources : Recruit, train, allocate, and monitor team members. Develop plans to introduce new automation technologies to increase efficiency and productivity. Communicate with team members to gather feedback on the implementation of new automation tools. Create detailed plans for automating processes within projects. Analyze test results and metrics to improve testing practices. Prepare, review, and present test reports to stakeholders. Coordinate with Project Managers, Development Managers , and other stakeholders to ensure the highest level of software quality. Create Automation test plans and strategies for various testing scenarios. Conduct feasibility studies on automation technologies to find opportunities for improvement. Conduct research on emerging technologies to enhance business efficiency and productivity. Ensure compliance with data privacy and security policies during testing, especially when handling sensitive user data. Collaborate with product managers and UX designers to ensure the application meets the highest standards of user satisfaction . Mandatory Skills: Java, Javascript, Selenium, Playwright, Cucumber, Postman, CI/CD, Dockers Desirable Skills: Rest Assured, Appium, Experience: 5 to 8 years

Exp-7+ Years Relevant Notice Period- Immediate Lead Data Scientist Relevant Experience: 7+ Years expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills 5+ years of work experience in writing code in Python Experience in using various Python libraries like Pandas, NumPy Experience in writing good quality code in Python and code refactoring techniques (e.g., IDEs – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) Strong experience on AI assisted coding experience. AI assisted coding for existing IDE's like vscode. Experimented multiple AI assisted tools and done research around it. Deep understanding of data structures, algorithms, and excellent problem-solving skills Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. Experience in building models for ML tasks (Regression, Classification) Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanis

Principal Data Scientist / Senior Data Scientist / Data Scientist - NLP / Machine Learning Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter. We have a disruptive Innovative Technology Products Line and Novel Solutions delivered through Mobile App / Web on our Cloud Digital Health Platform which is a Game changer, will surpass the current medical Practices, and is driven by Scientific evidence on actionable data-driven in Prevention, early detection, Treatment, Consultation, Clinical decision, Disease management areas of Top5 Chronic Diseases ( Including Top 20 Cancer Diseases|Diabetes|HeartDisease|Mental Health|COPD ) and COVID-19 Pandemic Management Globally to Impact the Lives of Billions of People Globally in a fastest-growing @51.3% CAGR in a few Trillion Dollars AI Health Global Market and Chronic Diseases Global Market. We will be looking to join Professionals in our 360-degree domain expertise areas | 200 Medical Doctors and Medical Researchers and 250 Data Scientists |AI Health Researchers Scientists| and with a total of more than 5000 Growth Drivers professionals with more than 2000 IT professionals| 2000 Business Development |Marketing and Sales|Global Operations of high energy Growth Drivers entrepreneur mindset (not the traditional employees) from across the world's Best Technology and Research Institutes in next 5 Years Timeline at our coming up India Global HQ, Global Technology Development and Innovation Center and Benovymed Global R and D and AI Health Innovation Lab to work on Thousands of complex problems in Healthcare to bring change in Healthcare to Impact the Life of Billions of People Globally to support our country "Make in India" Programme with solving every country local problems, local challenges and global problems globally.

ML,AI,Python,TensorFlow,Decision Trees,SageMaker,Transcribe,Lambda,Data Pipelines,Docker,CI/CD,Jenkins,GitLab

Joining : Immediately. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Please carefully review the position requirements before submitting a potential candidate for consideration. Job Summary Reporting to the Global Head of ITSM, the IT Process Excellence Specialist will play a crucial role in the development, optimization, and management of various IT processes within our organization. This role involves revising and improving processes, such as Joiner Mover Leaver (JML), Incident Management, Escalation Procedures, and Request Design in ServiceNow. The IT Process Owner will also be responsible for training the technical teams and ensuring compliance with established processes. Key Responsibilities Responsible for analyzing existing IT processes, including JML, Incident Management, Escalation, and Request Design, to identify areas for improvement. Collaborate with cross-functional teams to revise and optimize processes to enhance efficiency, effectiveness, and user satisfaction. Develop and maintain process documentation, including workflows, procedures, and guidelines. Review and enhance the JML process to ensure smooth onboarding, transfers, and offboarding of employees. Implement best practices for user provisioning, access control, and data security. Monitor and track JML requests to ensure compliance with company policies. Evaluate and refine the incident management process to minimize service disruptions. Create and maintain comprehensive documentation for all IT processes, workflows, and standard operating procedures (SOPs). Collaborate with relevant stakeholders to ensure that processes are well-defined and follow industry best practices. Work closely with technical teams to design and implement IT service requests in ServiceNow. Continuously improve and customize ServiceNow workflows to align with evolving business requirements. Provide training and guidance to technical teams and end-users on the newly optimized processes and procedures. Foster a culture of continuous improvement by organizing workshops and knowledge-sharing sessions. Establish key performance indicators (KPIs) to measure the effectiveness of IT processes. Regularly monitor and report on process performance, identifying areas for further improvement. Ensure that IT processes are compliant with relevant regulatory requirements and security standards. Implement necessary controls and safeguards to protect sensitive data and maintain data integrity. Qualifications & Experience With 6-8 of Professional experience and bachelor's degree in information technology, Computer Science, or a related field (or equivalent work experience). ITIL4 Foundation is as must. Advanced ITIL4 Certification is a plus Proven experience in IT process management and improvement. Strong knowledge of ITIL (Information Technology Infrastructure Library) Strong experience with ServiceNow Experience with AI and GenAI Experience with process automation and workflow automation tools. Project management experience. Knowledge of compliance and security standards (e.g., ISO 27001, GDPR). Excellent analytical and problem-solving skills Strong communication and interpersonal skills Attention to detail and a commitment to process excellence . For additional details regarding submission eligibility and payment terms, please refer to your contract. Only submissions from agencies with current service contracts in place will be considered.

Role & responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors. Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup. Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects. Client & Stakeholder Collaboration: Collaborate with project managers and stakeholders across a range of sectors to gather requirements and translate business needs into technical solutions. Present findings and ML model results to non-technical audiences in a clear manner, and refine solutions based on their feedback. Quality, Security & Compliance: Ensure that ML solutions meet quality and performance standards. Implement monitoring and logging for models in production, and proactively improve model accuracy and efficiency. Given the sensitive nature of our data, enforce data security best practices and compliance with relevant regulations (e.g. data privacy and confidentiality) in all ML workflows. Required Qualifications & Experience: Education: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected. Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role. Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous. Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using tools like Docker and Jenkins, and infrastructure-as-code tools like CloudFormation or Terraform to automate deployments. Hybrid Work Skills: Ability to thrive in a hybrid work environment – should be self-motivated and communicative when working remotely, and effective at in-person collaboration during on-site days. (The role will be based in Chennai with a mix of remote and office work.) Soft Skills: Excellent problem-solving and analytical thinking. Strong communication skills to explain complex ML concepts to clients or management. Ability to work under tight deadlines and multitask across projects for different clients. A client-focused mindset is essential, as the role involves understanding and addressing the needs of large clients who come to us because they trust us.

Well versed with Python for data science. Feature engineering, data analysis and cleansing using Python Experienced in Data visualization techniques and finding anomalies using graphs/modelling (matplotlib/seaborn) Model building/hyperparameter tuning knowledge using scikit-learn/vertex-AI Experienced in ML models like regression, logistics regression, PCA, Decision trees and random forest, clustering, SVM Decent GenAI and Prompt Engineering Skills Experienced working with any cloud environment preferably GCP Basic knowledge of docker/containers and CI/CD, deployment libraries Experience with production level datasets and use cases

Role & responsibilities Job Title: Senior Python Developer Django & Generative AI Location: Hyderabad / Bangalore (Hybrid Work Mode) Experience: 5+ years Employment Type: Full-Time Work Mode: Hybrid (2-3 days onsite per week) Job Summary: We are looking for an experienced Python Developer with strong expertise in Django and hands-on experience with Generative AI technologies to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining scalable backend systems while integrating generative AI models and tools into our products and solutions. Key Responsibilities: Develop and maintain robust, scalable, and efficient backend services using Python and Django Design and implement APIs and microservices to support front-end applications and AI-based features Work with Generative AI models (e.g., OpenAI, Hugging Face Transformers, etc.) to build intelligent features and integrations Collaborate with data scientists and ML engineers to deploy and optimize AI/ML models in production Optimize application performance, implement security best practices, and ensure high availability Participate in code reviews, mentoring, and best practice discussions Work closely with cross-functional teams including product managers, designers, and DevOps Stay up-to-date with the latest industry trends and advancements in AI and backend technologies Required Skills: 5+ years of professional experience in Python backend development Strong experience with the Django framework Experience working with RESTful APIs and microservices architectures Solid understanding of databases (PostgreSQL, MySQL, MongoDB, etc.) Practical experience with Generative AI frameworks and APIs (e.g., OpenAI, LangChain, Hugging Face, Stable Diffusion, etc.) Familiarity with AI model integration , inference pipelines, and prompt engineering Proficiency with Git , CI/CD pipelines, and containerization tools (Docker, Kubernetes) Experience in deploying applications on cloud platforms (AWS, Azure, GCP) Excellent problem-solving and communication skills

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Providing guidance and support for company projects and initiatives Working with Stakeholders to implement technology solutions to their requirements on Surveillance platforms. Data analysis and production of technical documentation, formulating testing approaches, test plans and cases. Regular updates to senior stakeholders Supporting business users with user acceptance testing. Presentation of results to senior stakeholders Skills Must have 7+ years of Business Analysis & UAT experience in Capital Markets domain experience. Solid understanding of trade surveillance practices, market abuse regulations, and related compliance requirements (e.g., MAR, Dodd-Frank, MiFID II) Knowledge of trade surveillance tools and systems (e.g., Actimize, SMARTS, or similar) Good knowledge of Python/Pyspark and SQL Strong analytical and problem-solving skills Excellent communication and interpersonal skills, with the ability to collaborate with diverse teams and stakeholders Ability to work independently and manage multiple priorities in a dynamic environment Good understanding of business change and software development life cycles Strong stakeholder management skills Analyse trade data to identify trends, anomalies, and potential risk areas. Generate detailed reports for senior management, compliance, and regulatory bodies to support ongoing monitoring efforts. Analyze trade data to identify trends, anomalies, and potential risk areas. Generate detailed reports for senior management, compliance, and regulatory bodies to support ongoing monitoring efforts. Nice to have Machine Learning, Artificial Intelligence