6900 Machine Learning Jobs - Page 44

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Key Responsibilities: Clean, prepare, and explore data to find trends and patterns Build, validate, and implement AI/ML models Extensively document all aspects of the work including data analysis, model development, results Collaborate with other team members teams to incorporate AI/ML models into software applications Stay updated with the latest advancements in AI/ML domain and incorporate into day-to-day work Required Skills/Qualifications: 3-5 years of experience in AI/ML related work Extensive experience in Python Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit- learn, Keras Experience with GenAI, LLMs, RAG architecture would be a plus Familiarity with cloud services such as AWS, Azure Familiarity with version control systems (e.g., Git), JIRA, Confluence Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro Knowledge of CI/CD pipelines and DevOps practices Experience delivering customer facing AI Solutions delivered as SaaS would be a plus Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Strong problem-solving skills and attention to detail Excellent verbal and written communication and teamwork skills Benefits: Competitive salary and benefits package Opportunity to work on cutting-edge technologies and innovative projects Collaborative and inclusive work environment Professional development and growth opportunities

Role & responsibilities Lead End-to-End ML Projects: Own the full lifecycle of ML solutions from problem scoping, data exploration, model development, deployment, and post-deployment monitoring. Own the Gen AI Strategy: Define and drive the technical vision and execution strategy for Gen AI use cases across the organization. Architect Scalable Solutions: Design robust ML systems and pipelines that integrate seamlessly into production environments. Team Leadership: Mentor and guide a team of ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous learning. Modeling & Research: Stay up to date with the latest advancements in ML/AI and guide experimentation with novel algorithms (e.g., deep learning, NLP, GenAI, reinforcement learning). Build RAG & Prompt Engineering Pipelines: Design scalable architectures for RAG, vector search, prompt tuning, and prompt chaining with tools like LangChain, LlamaIndex, and FAISS. Stakeholder Collaboration: Work closely with product managers, engineers, and domain experts to translate business problems into technical solutions. Operationalize ML: Partner with MLOps/DevOps teams to deploy, monitor, and maintain ML models in production, ensuring reliability and scalability. Preferred candidate profile Bachelors or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (PhD is a plus). 8+ years of hands-on experience in machine learning, with at least 1–2 years in a leadership or mentorship role. Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, etc. Strong understanding of statistics, optimization, and model evaluation techniques. Experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Kubernetes, MLflow, or Kubeflow. Proficiency in Python and Gen AI frameworks such as LangChain, Crew AI, or similar. Proven track record of deploying ML models into production at scale. Excellent communication and leadership skills.

Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Role & responsibilities Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding : Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs Preferred candidate profile Perks and benefits

Skills - AI/ ML, Gene Ai, NLP, Python Looking only for immediate joiners

Hello Talented Techie! To solve the biggest challenges of our time, we need inquisitive minds with the ambition to make the impossible possible. Siemens is your place to thrive, challenge the status quo, make a difference, and grow in a team of innovators who share your passion for tech. Are you in? We are looking for a Research Engineer Introduction With over 1,900 research operatives worldwide, the Technology organization occupies a special position within Siemens' R&D facilities. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities in Germany, the USA, China, India, Russia and Eastern Europe, Technology helps secure the company's technological future and bolster its competitiveness. You’ll create impact by: PhD or master’s degree in computer science from a recognized institution, with at least 2 years of hands-on experience in designing and implementing algorithms and solving complex problems using Artificial Intelligence Proficiency in one or more of the following technologies is a mandatory requirement: Demonstrated expertise in training deep convolutional and recurrent neural networks with industry-standard frameworks like TensorFlow, Caffe, and PyTorch Demonstrated expertise in demonstrating OpenCV and OpenGL for developing computer vision and graphical rendering solutions Conduct research and prototype development in the areas of object detection, visual tracking, semantic segmentation, human action recognition, 3D scene reconstruction, and Simultaneous Localization and Mapping (SLAM). Hands-on experience working with multimodal data, including audio, video, images, text, and telemetry Experience in image and video processing, analytics, and computer vision, with a strong understanding of available algorithms and model architectures, and the ability to implement them as needed—particularly deep learning algorithms Shows strength in the landscape of foundation models and a proven understanding of their advantages and limitations. Experience in adapting algorithms and architectures for compute-constrained environments and embedded systems is a plus Familiarity with SaaS fundamentals is considered an advantage Experience in solution design, architecture, software packaging using Docker and Kubernetes, and deployment on cloud platforms is a plus Eager to collaborate with multi-functional teams from conceptualization and prototyping to communicating solutions and recommendations to collaborators, while actively shaping the technology roadmap and strategic direction of the portfolio Keep abreast of the latest advancements in artificial intelligence and proactively adopt emerging, pioneering technologies Highly upbeat and committed to going the extra mile to achieve goals, while actively promoting AI innovation both within and beyond Siemens. Join Siemens: Create a better #TomorrowWithUs! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Protecting the environment, conserving our natural resources, encouraging the health and performance of our people as well as safeguarding their working conditions are core to our social and business dedication at Siemens.

Required Skills: 2-5 years of experience in data engineering, analytics and data sciences. Experience in LLM and Gen AI. Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc. Familiarity with ML Ops tools/platforms Familiarity with Docker and Kubernetes Proficiency in one or more visualization tools like Tableau etc. Experience engineering information out of massive, complex and, in some cases, unstructured datasets. Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery. Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization. Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity. Excellent problem-framing, problem solving and project management skills and ability to change direction quickly. Ability to balance and prioritize multiple projects. Experience working within a Cloud based environment, SaaS. Experience with git and version control workflows. Proficient in performance tuning and debugging Requirements: As a Data Scientist, you will collaborate with a multi-disciplinary team of solution architects and data engineers on a wide range of business problems. You will be an integral part of IT Advanced Analytics group who are a team responsible for building out capabilities across business strategy, analytics, and Cloud. Data Scientist must be able to: Execute on all phases of the Data Science project lifecycle with minimal supervision Interact with business stakeholders to gather requirements and convey project outcomes Job Responsibilities: Be equal member of a cohesive and selfless team. Take complete ownership of your work with the goal of exceeding customer expectations. Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal performance. Work closely with internal WWT business, engineering and technology teams Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions. Maintains and enhance a set of critical data models supporting our business use cases. Maintains complex data pipeline supporting our team's mission in democratizing data and enabling a data driven organization, partnering with our data engineering teams. Effectively communicate actionable insights at all levels of the organization. Collaborate closely with stakeholders to improve our view of modeling and decision engines. Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyperparameter tuning for machine learning, and deployment. Build and Maintain models for internal customers and business teams, build knowledge and metrics for the product life cycle. Flexibility to work as a member of a matrix based diverse and geographically distributed project teams. Enhance the subject matter expertise while working with the various business domains.

Job Information Date Opened 06/18/2025 Job Type Full time Industry Education Work Experience 1-3 years Salary ₹20,000 - ₹30,000 City Hyderabad State/Province Telangana Country India Zip/Postal Code 500001 About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement “To Provide Measurable & Transformational Value To Learners Career” Vision Statement ““To Be The Most Successful & Respected Job-Oriented Training Provider Globally.” We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Job Description Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI / Tableau Create and update course materials, projects, assignments, and quizzes. Provide hands-on training and real-world project guidance. Evaluate student performance, provide constructive feedback, and track progress. Stay updated with the latest trends, tools, and technologies in Data Science. Mentor students during capstone projects and industry case studies. Coordinate with the academic and operations team for batch planning and feedback. Assist with the development of new courses and curriculum as needed. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong communication, presentation, and mentoring skills. Prior teaching/training experience is a strong advantage. Certification in Data Science or Machine Learning (preferred but not mandatory).

Location : JP Nagar, Bangalore Mode of work: Work from Office Experience: 6 months 1.5 years Notice period : Immediate Joiners Only Mode of Interview : Face to Face Were looking for enthusiastic AI/ML talent to work on exciting projects in Generative AI, NLP, LLMs, and Deep Learning. Strong programming skills in Python and SQL Hands-on experience with ML/DL libraries NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch Good understanding of data preprocessing, feature engineering, model training & evaluation Experience working with Django or Flask Experience with Generative AI Familiarity with Deep Learning, NLP, LLMs, Exposure to data visualization tools Matplotlib, Seaborn, Tableau, Power BI Strong problem-solving skills and attention to detail Excellent communication skills Ability to thrive both independently and in a collaborative team setting

Roles and Responsibilities Develop engaging lesson plans for kids aged 6-12, incorporating coding concepts using Scratch Jr. Teach programming languages such as Python and SQL to students through interactive sessions. Use machine learning algorithms to create personalized learning experiences for students. Collaborate with educators to integrate technology into existing curricula. Provide technical support during classes to ensure smooth execution of activities. Desired Candidate Profile 0-5 years of experience in teaching or education-related field. Strong understanding of coding concepts, including block-based programming (Scratch) and text-based programming (Python). Familiarity with database management systems (SQL) and basic knowledge of machine learning principles. Excellent communication skills for effective classroom instruction and collaboration with colleagues.

As Lead ML Engineer , you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. As Lead ML Engineer, you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. Responsibilities: Build and deploy models for forecasting and optimization Perform time-series analysis, classification, and regression Monitor model performance and integrate feedback loops Use AWS SageMaker, MLflow, and explainability tools (e.g., SHAP or LIME)

Job Title: Data Analyst / AI & Deep Learning Location: Remote Type: Full-time Company Overview We work with organizations building advanced AI-powered solutions in areas such as real-time security, smart surveillance, and human behaviour analysis. Our clients combine technologies like computer vision, sensor fusion, and deep learning to drive innovation across embedded systems and cloud platforms. These solutions aim to make physical spaces safer, smarter, and more responsive. We're looking for early-career professionals who are eager to work with complex datasets, support machine learning workflows, and contribute to impactful, real-world AI products. Who would be a Good Fit? Candidates with strong foundation in data analysis, statistics, or machine learning fundamentals, and are passionate about turning messy, real-world data into meaningful insights. This role is perfect for someone with hands-on exposure to tools like Python and SQL, and an interest in working on next-generation AI products. Key Responsibilities Support the collection, cleaning, and preparation of datasets (image, video, sensor, time series). Assist in building and maintaining data pipelines for training and evaluating models. Perform exploratory data analysis (EDA) to uncover patterns or anomalies. Work with cross-functional teams to monitor model metrics and performance. Create visualizations and reports using tools like Seaborn, Plotly, or Tableau. Support annotation processes and help manage data quality checks. Automate routine data handling and reporting tasks using Python and SQL. Required Skills & Qualifications 1 to 3 years of experience in a Data Analysis, Data Science, or related role. Proficiency in Python, along with libraries like Pandas and NumPy. Solid understanding of data cleaning, preprocessing, and exploratory analysis. Working knowledge of SQL and experience working with relational databases. Familiarity with data visualization libraries or tools (e.g., Plotly, Tableau, PowerBI). Experience working with Jupyter or Google Colab for prototyping and analysis. Strong attention to detail and ability to follow data governance and documentation practices. Nice to Have Exposure to computer vision or sensor data projects. Experience with data labelling or annotation platforms (e.g., Label Studio, Roboflow). Familiarity with cloud platforms (e.g., AWS S3, EC2) and version control (Git).

Responsibilities: * Collaborate with cross-functional teams on AI projects using Python, Django & FastAPI. * Develop machine learning models with PyTorch/TensorFlow and integrate into apps.

SUMMARY Job Opening: About the Client: Our client is a leading global Fortune 500 IT solutions company that specializes in providing straightforward and scalable solutions to solve intricate business challenges. With a team of over 1,500 professionals, they offer technical and domain expertise across various platforms and industries to assist enterprise companies in enhancing productivity, efficiency, and optimizing their technology investments. Designation: BI Analyst - Team Leader/ Team Manager Experience: 7-15 Yrs Location: Hyderabad Skills required: Attention to detail Problem Understanding Hands-On with Strong SQL Min 2yrs experience working with Large volume data set Good experience in working with End to End Data analytics project, from Data modelling, Data extraction to building the insights Strong Stats + Strong understanding of visualizations w.r.t. business use case. Create technical documentation, versioning, testing, change control, configuration solutions Experience in BI and dashboard Development areas is needed. Knowledge or working experience with machine learning models would be added advantage. Notice period: Immediate - 30 days

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description Job Description Sprinklr is the unified platform for all customer-facing functions. We call it unified customer experience management (Unified-CXM). We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Headquartered in New York City with over 2,400 employees globally, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way What will you do: Understanding project briefs and client requirements, and maintain local records of the aforementioned Work with a range of text, speech, and other types of data Deliver high-quality labelled data (annotations) using in-house tools based on the guidelines provided Quality checking the annotated data and assisting in training/managing data annotation resources Work closely with annotators from across the globe to ensure the quality of work Understanding the AI processes, analyze and create eligible data exports meant for ML training and testing What makes you qualified? Full-time bachelors in either of the following specializations: Commerce/Communication/Advertising/PR/Engineering 0-2 years of experience as a data analyst, social media analyst or client servicing/success For freshers, it could be a plus if you have had a project in data analysis, social media, client servicing, report building, and analysis. Pattern recognition skills to identify and analyze intricate patterns within large and diverse datasets Good written and verbal communication skills - this includes the ability to comprehend and articulate things. An ideal candidate should be able to create case studies, write project brief, and make process charts Organizational and Interpersonal skills to keep the work well recorded, stored, have clarity of project tenure, make timely follow-ups or outreach needed Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Requirements: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Extensive hands-on experience with platforms and tools such as Dataiku , Azure ML, Azure AI, Foundry, and related systems Strong knowledge of agile methodologies, DevOps practices, and CI/CD pipeline management Demonstrated ability to manage multiple priorities in a fast-paced and dynamic environment Proven leadership skills in guiding cross-functional teams and driving large-scale technology initiatives Experience with Agile methodologies is a plus More details kindly share cv to admin@spearheadps.com or WhatsApp at 9899080360

ob Title: Python Developer Machine Learning & AI (2–3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2–3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

Machine Learning Intern Location: Bangalore (Onsite) Duration: Semester Internship (Full-time commitment) Company: London Stock Exchange Group Role Overview We are seeking a highly motivated Machine Learning Intern to join the Innovation and Intelligence Team within Data and Analytics operations function of the London Stock Exchange Group (LSEG). This is an exciting opportunity to contribute to applied research and innovation in the fields of Generative AI, Information Retrieval, and Information Extraction. As part of this role, you will assist in building end-to-end machine learning pipelines—from research and development to deployment and scaling—while gaining exposure to the latest advancements in AI technologies. You will collaborate with a team of experts to deliver cutting-edge solutions, leverage state-of-the-art tools, and work on real-world data at scale. This internship provides an excellent opportunity for hands-on experience in a fast-paced, dynamic environment where you will be encouraged to think critically, explore innovative ideas, and make impactful contributions. Key Responsibilities Assist in designing, building, and deploying scalable ML pipelines. Explore and implement state-of-the-art frameworks in Machine Learning (e.g., TensorFlow, PyTorch) and Generative AI (e.g., LangChain, LangGraph, LlamaIndex). Conduct research on the latest advancements in AI and apply them to solve real-world problems. Develop prototypes and MVPs to validate new ideas and solutions. Collaborate with cross-functional teams to deliver innovative AI solutions at scale. Required Skills Technical Expertise: Strong proficiency in Python programming. Knowledge of ML frameworks such as TensorFlow and PyTorch. Familiarity with Generative AI frameworks like LangChain, LangGraph, and LlamaIndex . Understanding of ML algorithms like regression, classification, transformers, and neural networks. Soft Skills: Strong problem-solving and critical-thinking abilities. Eagerness to learn and innovate with out-of-the-box approaches. Excellent communication skills, a team player, and confidence in presenting ideas. Education Currently pursuing a B.Tech with specialization in Data Science or a related field from a Tier-1 institution. Demonstrates expertise in Python programming and a strong foundation in data science concepts. Perks and Benefits Exposure: Work closely with a team focused on rapid prototyping and innovation in diverse use cases. Learning Opportunities: Access to resources for research, experimentation, and hands-on experience with scalable applications. Mentorship: Collaborate with industry experts to refine your technical and research skills. Certification & PPO: Earn an internship certification and become eligible for a performance-based Pre-Placement Offer (PPO). Infrastructure Support: Leverage robust infrastructure to build and deploy AI solutions at scale. About London Stock Exchange Group (LSEG) London Stock Exchange Group (LSEG) is a global leader in financial markets infrastructure and data services, enabling businesses and economies worldwide to thrive. At the intersection of technology and finance, LSEG offers dynamic opportunities to innovate and impact global markets. As part of the PoC team, you will be contributing to cutting-edge AI applications in financial technology, working with diverse datasets to solve complex challenges. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Job Title: Platform Administrator – NextGen SIEM Location: Bangalore (on site) About ColorTokens At ColorTokens, we empower businesses to stay operational and resilient in an increasingly complex cybersecurity landscape. Breaches happen—but with our cutting-edge ColorTokens Xshield™ platform, companies can minimize the impact of breaches by preventing the lateral spread of ransomware and advanced malware. We enable organizations to continue operating while breaches are contained, ensuring critical assets remain protected. Our innovative platform provides unparalleled visibility into traffic patterns between workloads, OT/IoT/IoMT devices, and users, allowing businesses to enforce granular micro-perimeters, swiftly isolate key assets, and respond to breaches with agility. Recognized as a Leader in the Forrester Wave™: Microsegmentation Solutions (Q3 2024), ColorTokens safeguards global enterprises and delivers significant savings by preventing costly disruptions. Join us in transforming cybersecurity. Learn more at www.colortokens.com. Our culture We foster an environment that values customer focus, innovation, collaboration, mutual respect, and informed decision-making. We believe in alignment and empowerment so you can own and drive initiatives autonomously. Self-starters and high-motivated individuals will enjoy the rewarding experience of solving complex challenges that protect some of world’s impactful organizations - be it a children’s hospital, or a city, or the defense department of an entire country. Company Overview: ColorTokens is a fast-growing cybersecurity product company that is redefining the way enterprises protect their digital assets. Our market-leading Xshield platform enables Zero Trust microsegmentation and real-time visibility into application traffic, ensuring robust protection against modern cyber threats. We are looking for passionate and driven individuals to join our mission in building cutting-edge security products. Position Overview: Colortokens is seeking a highly skilled and motivated Platform Administrator to manage, maintain, and optimize our NextGen Security Information and Event Management (SIEM) platform. The ideal candidate will oversee the day-to-day operations, ensure seamless integration of customer log sources, security tools, and provide robust support to the security operations team. This role requires a strong technical background, hands-on experience with SIEM platforms, and a proactive approach to enhancing security posture. Key Responsibilities: SIEM Platform Administration Deploy, configure, and maintain the NextGen SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, QRadar, Chronicle, Exabeam etc). Perform regular updates, patches, and upgrades to ensure platform security and functionality. Monitor platform health, performance, and availability, ensuring optimal uptime. Log Source Management Onboard new log sources, ensuring proper data ingestion and parsing from various environments (endpoints, servers, cloud platforms, applications). Troubleshoot and resolve issues related to log ingestion, parsing, and formatting. Maintain log retention policies in alignment with compliance requirements. Rule and Use Case Management Develop, deploy, and fine-tune detection rules, correlation use cases, and alerts. Continuously update use cases based on emerging threats, business needs, or compliance mandates. Collaborate with SMEs and SOC analysts to refine detection capabilities and reduce false positives. Integration and Automation Integrate the SIEM platform with other security tools (EDR, microsegmentation solution, vulnerability scanners, etc.). Design and implement automation workflows for incident detection, investigation, and response. Platform Security and Compliance Enforce platform access control policies, ensuring role-based access and least privilege principles. Ensure the SIEM adheres to regulatory compliance standards (e.g., SOC2, ISO 27001). Conduct regular audits and ensure the platform is free of vulnerabilities. Collaboration and Support Work closely with SOC analysts, threat hunters, and engineers to align the SIEM capabilities with security goals. Provide technical support to users of the SIEM platform. Offer training and documentation for security teams on effective SIEM usage. Be available round the clock in case of any incidents with the platform Performance Monitoring and Optimization Monitor and optimize storage and indexing performance. Proactively identify bottlenecks and improve platform scalability. Generate reports on platform performance and alerting effectiveness. Incident Support Assist the SOC team with root cause analysis and advanced investigations. Ensure forensic data is readily available during incident response. Education and Certifications: Bachelor’s degree in Computer Science, Information Security Relevant certifications such as Splunk Certified Admin, Microsoft Certified: Security Operations Analyst Associate, QRadar Certification, or similar NextGen SIEM certifications are highly desirable along with CISSP Experience: 8+ years of experience in managing SIEM platforms (traditional or NextGen). Strong hands-on experience with at least one NextGen SIEM platform (e.g., Stellar Cyber, Splunk, Sentinel, Chronicle, Exabeam). Experience with log management, rule creation, and data onboarding. Familiarity with scripting languages (e.g., Python, PowerShell) for automation. Technical Skills: In-depth understanding of log formats, protocols (e.g., Syslog, JSON, XML), and data pipelines. Proficiency in querying languages (e.g., KQL, SPL, AQL). Experience with integration of SIEMs with security tools like EDR, SOAR, NDR, and threat intelligence platforms. Knowledge of security frameworks such as MITRE ATT&CK, NIST, or CIS. Preferred Skills: Familiarity with cloud-based security solutions (e.g., AWS, Azure, Google Cloud). Experience in implementing machine learning or anomaly detection in SIEM use cases. Exposure to SOAR tools (e.g., Palo Alto Cortex XSOAR, Splunk Phantom). Key Metrics for Success: Uptime and performance of the SIEM platform. Number of new log sources and use cases onboarded. Reduction in false positives and tuning of alerts. Timely resolution of platform-related issues. Alignment of the platform with business and security requirements

Hiring: Senior Python Developer Skills: FastAPI , Machine Learning Deployment , Docker , AWS Role: Build scalable APIs & deploy ML models Lead backend dev & mentor team Create smart, high-performance systems

Role Title: Data Scientist Experience Level: Assistant Manager / Deputy Manager (2–7 years) Job Purpose To drive data-backed decision-making within the Sales division by applying advanced analytics, demand forecasting, price elasticity modeling, and GenAI solutions. This role aims to improve forecasting precision, assess the impact of pricing strategies, and uncover actionable insights from customer behavior to optimize sales performance. Key Responsibilities 1. Demand Forecasting Develop scalable models to forecast enquiries, bookings, retails, and wholesales. Use historical sales data and market trends to support short- and long-term planning. 2. Pricing & Offer Analytics Analyze price elasticity across segments and regions. Measure the performance of offers and promotions using causal models and A/B testing. 3. Customer Behavior Analytics Leverage GenAI and predictive modeling to segment customers, predict drop-offs, and inform engagement strategies. Track and interpret patterns across the customer journey—conversion, preferences, loyalty. 4. Data Management & Visualization Clean and integrate data across CRM, DMS, finance, and third-party systems. Create self-serve dashboards and reports using Tableau, Power BI, or Salesforce Einstein. 5. Cross-functional Collaboration Partner with Sales, Marketing, Finance, Product Planning, and Network teams to align insights with business strategy. Major Challenges Forecasting in a dynamic, seasonal, and regionally diverse market. Quantifying ROI from offers and pricing strategies. Integrating financial KPIs into sales models. Driving GenAI adoption in a traditional automotive ecosystem. Creating insights from unstructured, siloed data across dealer networks. Decision-Making Authority Select and implement analytical models independently. Recommend pricing structures based on customer behavior and elasticity. Build analytics tools to enable stakeholder-led decision-making. Prioritize projects based on business relevance and feasibility. Define data processing methods for recurring analytical pipelines. Required Skills and Qualifications Graduate or Postgraduate degree in Data Science, Statistics, Engineering, or related field. Strong command of Python, statistical modeling, machine learning, and data visualization tools. Familiarity with auto industry sales metrics and business drivers. Demonstrated experience in working with cross-functional teams. Competency Expectations Technical Competencies: Statistical Analysis, Machine Learning, Data Modeling, Python Programming, Dashboarding, Auto Industry Trends. Behavioral Competencies: Effective Communication, Stakeholder Management, Creative Problem Solving, Flexibility & Continuous Learning.

Lead AI/ML at Rely Healthtech Company Overview Rely Health Tech is a pioneering healthcare technology company dedicated to transforming healthcare management through innovative, customized Hospital Information System (HIS) solutions. Our advanced modules, including HR, Supply Chain Management (SCM), Patient Management, CRM, RCM, and AI-driven agents, empower healthcare providers with streamlined operations and enhanced clinical decision support. By integrating cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) technologies, we deliver scalable, secure, and robust solutions that improve patient care and operational efficiency. As we expand geographically and diversify our product offerings, we are seeking a visionary leader to drive our AI/ML initiatives. Role Overview We are looking for an experienced Head of AI/ML to join our team in Gurugram for a full-time, on-site role. This leadership position will spearhead the development and execution of our AI/ML strategy, driving innovation in healthcare technology. The successful candidate will oversee software development, manage IT projects, define IT strategies and architectures, and lead product development initiatives to deliver transformative solutions. Key Responsibilities Develop and implement a comprehensive AI/ML strategy aligned with Rely Healthtechs vision and goals. Lead end-to-end AI/ML projects, from ideation to deployment, ensuring high-quality deliverables. Oversee software development teams, fostering a culture of innovation and collaboration. Define and implement IT strategies and architectures to support scalable, secure, and efficient systems. Drive product development initiatives, integrating AI/ML to enhance clinical and operational outcomes. Collaborate with cross-functional teams, including product, engineering, and clinical stakeholders, to deliver impactful solutions. Stay abreast of industry trends and emerging technologies to maintain a competitive edge. Qualifications Experience : Minimum of 10 years in software development, with 3-5 years specifically in AI/ML technologies. Technical Expertise : Strong proficiency in AI/ML frameworks, algorithms, and tools. Leadership : Proven track record in leading high-performing teams and managing complex IT projects. Strategic Vision : Expertise in defining IT strategies and architectures for scalable systems. Product Development : Hands-on experience in driving end-to-end product development cycles. Communication : Exceptional leadership and communication skills to engage with diverse stakeholders. Collaboration : Ability to work effectively with cross-functional teams in a fast-paced environment. Industry Knowledge : Exposure to the healthcare IT sector is a strong advantage. Education : Masters degree in Computer Science, Data Science, or a related field. Why Join Rely Health Tech? Be part of a rapidly growing healthcare technology company with global ambitions. Lead transformative AI/ML initiatives directly impacting patient care and operational excellence. Work in a collaborative, innovative environment with opportunities for professional growth. Contribute to cutting-edge solutions that redefine healthcare management. Location Gurugram, India (On-site) How to Apply Ready to shape the future of healthcare with AI/ML? Visit our website at www.relyhealthtech.com to learn more about our mission and solutions. To apply, please share your resume and a cover letter via LinkedIn or email us at hr@relyhealthtech.com. Join Rely Health tech and lead the charge of revolutionizing healthcare technology! Rely Health Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Our client is a global aviation powerhouse and one of the most recognized names in the airline industry. As a marquee player in the aviation space, the company is undergoing a bold digital transformationreimagining its operations, customer experience, and business strategy through the lens of data, AI, and cloud innovation. From predictive maintenance and personalized travel experiences to dynamic pricing and intelligent crew scheduling, data is at the core of every strategic initiative. We are seeking to identify a senior technology leader to spearhead the companys Data and AI Engineering of a high-impact global team that supports critical digital and operational functions across the enterprise. This role will be responsible for technology and team leadership to a cross-functional group of engineers and data scientists, partnering with global stakeholders across Digital Technology, Operations, Commercial, and corporate functions. The Job Provide leadership for high-impact data and machine learning engineering programs across global business functions. Drive development and management of scalable data platforms, pipelines, and AI/ML solutions supporting key enterprise priorities. Guide cross-functional teams in requirement gathering, architecture design, deployment, and change management. Manage a growing team of data and AI professionals and foster a culture of innovation and excellence. Represent the Data & AI Engineering team in global forums and leadership presentations. Your Profile A Bachelors degree in Computer Science, Engineering, or related fields (Master’s preferred). 18+ years of overall experience and 10+ years of digital and data technology experience, with at least 5 years in cloud-based data or AI systems. Expertise in data engineering, database management, and machine learning lifecycle with tools such as SQL, Python, Redshift, AWS Sagemaker, and LLMs. Deep understanding of cloud-native data platforms and modern ML/GenAI applications. Demonstrated ability to manage large-scale technical teams and mentor top talent. Experience in working with global teams and cross-cultural collaboration. Strong communication and stakeholder management skills. Passion for leveraging data and AI to solve complex business challenges and deliver measurable impact. This role is an ideal opportunity to be a part of a global transformation journey for one of the world’s most reputed service companies that relies on data as the core of its excellence and to work with best-in-class technologies and digital platforms across AI, cloud, and enterprise data.

Role & responsibilities Full Stack LLM Development Sr Analyst Tech for Operations - Artificial Intelligence (Al) Qualification Any Graduation Years Of Experience 5 to 8 years You wil be part of the Technology for Operations team that acts as a trusted advisor and partner to Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation Understanding of foundational principles and knowledge of Artificial Intelligence Al including concepts, techniques, and tools in order to use Al effectively. What are you looking for ? Make sure there is n o reference of client name / project Python (Programming Language) Python Software Development • Machine Learning Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providin solutions to work related problems. - Collaborate with cross-functional teams to analyze business requirements and translate them into technical solutions. - Develop and naintain high-quality software code adhering to coding standards and best practices. - Conduct thorough testing and debugging of applications to ensure optimal performance Provide technical support and guidance to end-users as needed. - Stay updated on emerging technologies and trends in application development Roles and Responsibilities • In this role you are required to do analysis and solving of increasingly complex problems You are likely to have some interaction with clients You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others • In this role you would be an individual contributor and/or oversee a small work effort and/or team • Please note that this role may require you to work in rotational shifts - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to analyze business requirements and translate them into technical solutions. - Develop and maintain high-quality software code adhering to coding standards and best practices. - Conduct thorough testing and debugging of applications to ensure optimal performance. - Provide technical support and guidance to end-users as needed. - Stay updated on emerging technologies and trends in application development to drive continuous improvement.

Role & responsibilities Key Responsibilities: Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques. Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges. Design, develop, test, and deploy scalable AI solutions in production environments (a plus) Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solutions. Communicate findings and insights effectively to both technical and non-technical stakeholders. Continuously improve existing AI models and algorithms to enhance their accuracy and efficiency Stay up to date with the latest advancements in AI, machine learning, and deep learning, and apply them to client projects. Contribute to the development and maintenance of AI infrastructure and tools. Qualifications: Bachelors or masters degree in Statistics, Computer Science, Engineering, or a related field Corporate Finance knowledge/interest is a plus. Familiarity with Agile methodologies and experience working in Agile teams. A product improvement mindset, with a focus on iterating and enhancing AI solutions. Minimum of 3 years of work experience in data science or a related field with a focus on AI Strong knowledge of AI techniques (knowledge of Rag Implementation and Agents) including machine learning, deep learning, and natural language processing Proficiency in Python and related libraries (e.g., Pandas, NumPy, scikit-learn, streamlit) is mandatory. Proficiency in querying language like SQL Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) Strong problem-solving skills and attention to detail Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields. A proactive learning attitude and willingness to stay current with industry trends and technologies. Experience working in a collaborative team environment. Strong development skills, including software engineering best practices (e.g., version control, testing, code reviews) Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)

Purpose Senior DevOps engineer is responsible for automating and improving the collaboration between software development and IT operations teams, ensuring faster and more reliable software releases. Should be a quick learner with exposure to AIOps. DevOps, MLOps and some knowledge in CloudOps. and should be an expert in handling python & .Net based projects, docker, Kubernetes, podman. Job Tasks: » CI/CD Pipeline Management » Design, construct, install, test and maintain Infrastructure as Code » Containerization » Deployment and Release Management » Security Integrations » Automation and Scripting » Monitoring and Analytics » disaster recovery procedures Key Responsibilities Design, implement, and manage scalable and reliable infrastructure for GenAI-based applications. Collaborate with development teams to ensure seamless integration and deployment of GenAI models and services. Automate and optimize CI/CD pipelines to support rapid development and deployment cycles (multi cloud). Monitor and troubleshoot system performance, ensuring high availability and reliability of GenAI applications. Implement security best practices and ensure compliance with industry standards. Mentor and guide junior DevOps engineers, fostering a culture of continuous improvement and innovation. Stay updated with the latest trends and advancements in GenAI and DevOps technologies. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a DevOps Engineer, with a focus on GenAI-based implementations. Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Proficiency in scripting and automation tools (Python, Bash, Ansible, Terraform). Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI) and version control systems (Git). Solid understanding of networking, security, and system administration. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and leadership skills. Additional skills Experience with machine learning frameworks and libraries (TensorFlow, PyTorch). Knowledge of infrastructure as code (IaC) and configuration management. Familiarity with monitoring and logging tools (Prometheus, Grafana, Power BI, ELK stack). Recommend different ways to constantly improve data reliability and quality. Designing and building validation engines for monitoring of sourced data Processing, cleansing, and verifying the integrity of data used for analysis Enhancing data collection procedures to include information that is relevant for building analytic systems Technical skills Mandatory » 4 to 8 years of experience as Data Engineer or Data Analyst » Graduate in Engineering, Technology, applied mathematics, physics statistics along with good business skills » Excellent understanding of Data Mining technologies, NOSQL databases, Web Scrapping. » Excellent understanding of data sourcing and validation algorithms » Experience of working in Cloud based infrastructure » Good scripting and programming skills in Python » Experience with NoSQL databases, such as MongoDB, Cassandra » Good, applied statistics skills, such as distributions, statistical testing, regression, etc. Nice to have » Exposure to financial research domain » Industry recognized certification programs on Data Management/Cloud etc. » Experience with JIRA, Confluence » Understanding of scrum and Agile methodologies » Experience with data visualization tools, such as Grafana, GGplot, etc. Soft skills » Oral and written communication skills » Good problem solving and negotiation skills » Intellectual curiosity to find new and unusual ways of how to solve data management issues. » Passionate about the work and attention to detail