1487 Data Scientist Jobs - Page 26

About the Role: We are looking for a skilled Data Scientist to analyze large amounts of raw information to find patterns that will help improve our business. You will model complex problems and use your findings to develop data-driven solutions. Key Responsibilities: Collect, clean, and process large datasets from various sources Develop predictive models and machine learning algorithms Interpret data and analyze results using statistical techniques Visualize data insights for technical and non-technical audiences Collaborate with cross-functional teams to understand business needs and develop data solutions Monitor and optimize model performance Stay updated with the latest industry trends and techniques in data science Qualifications: Bachelor’s, Master’s, or Ph.D. in Data Science, Statistics, Computer Science, or related field Proven experience in data analysis, modeling, and machine learning Proficiency in programming languages such as Python, R, or SQL Experience with data visualization tools (e.g., Tableau, Power BI) Strong analytical and problem-solving skills Excellent communication skills Preferred Skills: Knowledge of big data technologies (e.g., Hadoop, Spark) Experience with cloud platforms AWS Familiarity with deep learning frameworks (TensorFlow, PyTorch) Show more Show less

Join our Team About This Opportunity Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. What You Will Do Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Experience in analysing complex problems and translate it into algorithms. Backend development in Rest APIs using Flask, Fast API Deployment experience with CI/CD pipelines Working knowledge of handling data sets and data pre-processing through PySpark Writing queries to target Casandra, PostgreSQL database. Design Principles in application development. The Skills You Bring Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 763993 Show more Show less

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: Minimum of 10 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) to quickly understand requirements and develop solutions. Graduate/Postgraduate in computer science, computer engineering, or equivalent with 10-12 years of experience in the IT industry. Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals. Minimum 5-6 years of hands-on experience in a Data Scientist role or similar role. Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques. Experience using LLM models on cloud platforms (OpenAI @ Azure, AWS Bedrock, GCP Vertex AI). Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions. Strong domain experience in at least two industries (e.g., Financial, Retail, Manufacturing, Telecom). Completed 2-3 projects in the domain of expertise. Strong knowledge of Python, C/C++. Data mining, visualization, and machine learning skills. Fluent in English (written and spoken). Degree in a quantitative discipline, such as mathematics, statistics, computer science, or other engineering fields. Preferred Technical and Professional Experience Certification in one or more of the hyperscalers (Azure, AWS, Google Cloud Platform) Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Join our Team About This Opportunity Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. What You Will Do Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Experience in analysing complex problems and translate it into algorithms. Backend development in Rest APIs using Flask, Fast API Deployment experience with CI/CD pipelines Working knowledge of handling data sets and data pre-processing through PySpark Writing queries to target Casandra, PostgreSQL database. Design Principles in application development. The Skills You Bring Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 763993 Show more Show less

Job Summary We are seeking a highly skilled Generative AI Data Scientist to design, develop, and deploy generative AI applications and models that can generate meaningful insights, creative business domain content, or solve domain-specific challenges. The ideal candidate will combine expertise in data science, machine learning, AI and natural language processing (NLP) with a passion for innovation and real-world applications. As part of the EXL Digital AI R&D Innovation team, you will work as a Data Scientist in the Innovation unit supporting all EXL Business Units. You will be exposed to hundreds of different enterprise GenAI business use cases and help our clients create value architecting GenAI applications and solutions. This role involves working on cutting-edge Generative AI technologies to drive significant revenue growth, operational efficiencies, and enhanced customer experiences for our Fortune 1000 enterprise clients across various industries in insurance, healthcare, banking & financial services, media, and retail. You will work with a team of talented data scientists, AI researchers, software engineers, ML engineers, project managers and delivery managers helping them in deploying advanced AI technologies. Youll work with domain-specific data, design models and AI systems & architectures at scale, design RAG pipelines, improve AI Governance and responsible, LLM selection(GPT-4, Llama2, Mistral, Claude, Gemini, Flan, BERT) & fine-tuning PEFT LoRa/QLoRa adapters, LLM Prompt Engineering, Agentic AI, AutoGen, AI Autonomous Agents, Multimodal LLMs and LLM orchestration architectures for enterprise data at scale in Python. Key Responsibilities Model Development: Research, design, and develop state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics. Fine-Tuning: Fine-tune pre-trained models (e.g., Llama3, Mistral, OpenAI GPT, BERT, T5) to meet domain-specific requirements. Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models. Deployment: Implement scalable solutions for deploying generative AI models in production environments using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Collaboration: Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to align AI solutions with business goals. Evaluation: Develop metrics and benchmarks to evaluate model performance and ensure quality outputs. Research: Stay up to date with the latest advancements in AI/ML, particularly in generative AI techniques, and propose innovative solutions. Ethical AI Practices: Ensure ethical considerations are addressed in model development, including fairness, accountability, and explainability. Experience of architecting AI systems to solve complex business problems. Build advanced RAG pipelines, text chunking, and retrieval, LLM Prompt Engineering, using Vector Databases. Implement right LLM selection based on use cases and client criteria (GPT-4, Llama2, Mistral, Claude, Gemini, Flan, BERT) while managing trifecta of accuracy, cost, and latency/scale. Develop, fine-tune, context tune and implement state-of-the-art NLP models including Large Language Models like GPT, Llama3.1, Claude, BLOOM, Flan-T5, Falcon etc. fine-tuning PEFT LoRa/QLoRa adapters design AI systems & architectures, while considering good Responsible AI standards and AI Governance. Build Agentic AI, AutoGen, Muti-agents use cases, AI Autonomous Agents and LLM orchestration architectures for enterprise data at scale in Python. Hands on experience with complementary technologies around LLMs like embedders, vector databases (chroma, weaviate etc.), orchestration tools like Langchain, LlamaIndex etc. Conduct research and experimentation to improve existing models and propose novel approaches. Collaborate with cross-functional teams to integrate generative AI solutions into real-world applications. Stay up-to-date with the latest advancements in deep learning and generative models and apply them to enhance our AI capabilities. Document research findings, prepare technical reports, and contribute to whitepaper/scientific publications. Provide deep leadership and coaching in the project delivery lifecycle. Focus on shared learning, continuous improvement, and drive adoption of best practices. Qualifications Education and Experience: Masters of Science or PhD in computer science, data science, statistics, Natural Language Processing 2-3 years of experience in GenAI and Large Language Models. Strong programming skills in Python, including experience with libraries like TensorFlow, PyTorch, Hugging Face Transformers, or similar. as evidenced by released code (e.g., GitHub repositories – version control awareness). Solid understanding of optimization techniques for training deep neural networks, regularization methods, and hyperparameter/fine tuning. Hands-on experience with generative AI models, such as Llama3, GPT4, Claude Knowledge of NLP, computer vision, or multimodal AI techniques. Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Experience in Generative AI Models and LLMs, finetuning LLMs, prompt engineering and experience with LLM orchestration frameworks like Langchain, LlamaIndex, RAGAS, etc. Strong software engineering skills for rapid and accurate development of AI models and systems. Understanding of Agentic AI, Autonomous Agents, AI Agents, AutoGen, Crew.ai, Langchain, and workflow steps design. NVIDIA Blueprints. Google AI Agents. Provide business-oriented solution with ability to communicate effectively, both verbally and in writing, with technical and non-technical stakeholders. Experience working in a collaborative environment, contributing to multidisciplinary teams and projects. Proven ability to solve complex problems, think creatively, and adapt to evolving research trends. Experience in deploying ML models in cloud environments (AWS SageMaker, GCP AI Platform, or Azure ML). Strong problem-solving and analytical skills. Excellent communication skills, both technical and non-technical. Skills and Competencies: 5 years of experience in AI, NLP including transformer architecture and LLMs, Computer Vision and related technologies Excellent communication and problem-solving skills. Working with cross-functional teams across different stakeholders. Ability to explain GenAI to non-technical audiences across many different industries. Ability to do GenAI Architecture solutioning for existing clients and potential clients. People leadership skills. Candidate is also hands on developer while people managing Data Scientists, ML Engineers etc. Experience in ML Engineering and MLOps, MLFlow Strong understanding of statistical and machine learning concepts Experience with deep learning frameworks such as TensorFlow and PyTorch Familiarity with key concepts and techniques used in generative models, such as variational autoencoders (VAEs), generative adversarial networks (GANs), and flow-based models. Strong programming skills in languages such as Python, along with experience working with popular deep learning frameworks like PyTorch and TensorFlow. Understanding of Graph Database and/or Vector Database along with knowledge of cloud services (e.g., AWS, Azure, GCP). Experience with deploying AI models in production environments. Familiarity with domain-specific applications of generative AI Leveraged both Azure and AWS for model inferencing. For finetuning, he has worked more on AWS SageMaker. Has used different retrieval, reranking, and generation techniques based on the use case complexity and the metrics required. Has played multiple roles in the past, such as an individual contributor, a solution architect, a mentor, a trainer, and a people manager. He also participates in RFI, RFP, thought leadership, and business development activities. ole & responsibilities Preferred candidate profile Perks and benefits

Job Details: We are seeking a highly motivated and enthusiastic Junior Data Scientist with 2-3 years of experience to join our data science team. This role offers an exciting opportunity to contribute to both traditional Machine Learning projects for our commercial IoT platform and cutting-edge Generative AI initiatives. Experience 2-3 years of hands-on experience with machine learning Exposure to Generative AI concepts and techniques, such as Large Language Models (LLMs), RAG Architecture Experience in manufacturing and with an IoT platform is preferable Role and Responsibilities: Key Objectives Machine Learning (ML): Assist in the development and implementation of machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Help with Python development to integrate models with the overall application Monitor and evaluate model performance using appropriate metrics and techniques. Generative AI: Build Gen AI-based tools for various business use cases by fine-tuning and adapting pre-trained generative models Support the exploration and experimentation with Generative AI models Research & Learning: Stay up-to-date with the latest advancements and help with POCs Proactively research and propose new techniques and tools to improve our data science capabilities. Collaboration and Communication: Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to understand requirements and deliver impactful solutions. Communicate findings, model performance, and technical concepts to both technical and non-technical audiences. Technical Competencies Programming: Proficiency in Python, with experience in libraries like numpy, pandas, and matplotlib for data manipulation and visualization. ML Frameworks: Experience with TensorFlow, PyTorch, or scikit-learn. Cloud & Deployment: Basic understanding of cloud platforms such as Databricks, Google Cloud Platform (GCP), or Microsoft Azure for model deployment. Data Processing & Evaluation: Knowledge of data preprocessing, feature engineering, and evaluation metrics such as accuracy, F1-score, and RMSE.

Our client is a India's marquee global technology company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the IT product and service industries. We are Seeking to identify a Data Scientist Engineer role, responsible for Leading the design, development, and deployment of advanced machine learning models and algorithms. Software engineering experience with Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and generative AI libraries., Understanding of C++ programming principles. Lead the design, development, and deployment of advanced machine learning models and algorithms. Train and fine-tune generative models on large datasets, optimizing model performance and efficiency. Experience of developing and deploying solutions on Nvidia or Intel software stacks will be an added advantage. Excellent problem-solving skills and the ability to work on complex, unstructured challenges. Proficient Understanding of distributed Computing Principles. Working knowledge of frameworks such as accelerate, deepspeed, etc. Experience with hiring, mentoring and leading teams of ML engineers, data engineers, etc. Conduct in-depth data analysis, feature engineering, and data pre-processing to extract meaningful insights. Develop and execute data strategies to collect, process, and store data effectively. Work closely with data engineers and architects to ensure data availability and quality. Collaborate with cross-functional teams to develop AI-powered solutions that address business challenges and opportunities. Ensure the successful integration of AI models into production systems. Stay up-to-date with the latest trends and advancements in data science and AI. Drive research initiatives to explore and implement innovative techniques and technologies. Lead research initiatives to develop novel AI techniques and technologies. Communicate findings, insights, and project progress to non-technical stakeholders in a clear and understandable manner. Publications or contributions to the field of CV, NLP or generative AI are a plus. Your Profile: An Engineer with 5+ years of experience in Leading the design, development, and deployment of advanced machine learning models and algorithms. Understanding of C++ programming. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and generative AI libraries.

Role & responsibilities : Requirements: Strong expertise in NLP, text summarization, semantic search, and LLM APIs. Practical experience with Amazon Bedrock, OpenAI, or Hugging Face transformers. Familiar with prompt tuning and few-shot learning. Python (pandas, langchain, boto3, NumPy, etc.) Experience working with unstructured audio-to-text data (e.g., call transcripts). Key Responsibilities: Design and Development: Design, develop, and deploy LLM-based solutions for text summarization, semantic search, and other NLP tasks LLM APIs: Integrate LLM APIs from Amazon Bedrock, OpenAI, or Hugging Face transformers into existing applications Prompt Tuning and Few-Shot Learning: Implement prompt tuning and few-shot learning techniques to improve LLM performance Unstructured Audio-to-Text Data: Work with unstructured audio-to-text data, such as call transcripts, to develop accurate and efficient NLP models Python Programming: Utilize Python libraries like pandas, LangChain, boto3, and NumPy for data processing and model development Preferred candidate profile : We're seeking a highly skilled NLP Engineer with expertise in Large Language Models (LLMs) and text summarization to join our team. The ideal candidate will have hands-on experience with Amazon Bedrock, OpenAI, or Hugging Face transformers and a strong background in Python programming. This role involves working with unstructured audio-to-text data, such as call transcripts, and developing innovative solutions using LLMs.

We are seeking a highly skilled and motivated Senior Data Scientist with 56 years of experience to drive the development of intelligent AI systems. This role requires extensive hands-on experience with Large Language Models (LLMs) , strong background in Agentic AI , Machine Learning , and Python programming . You will work on designing autonomous agents, building scalable ML pipelines, and integrating advanced LLM-powered solutions into real-world products. Key Responsibilities: Architect and implement agentic AI systems that use LLMs for autonomous reasoning, planning, and multi-step task execution. Lead the development, fine-tuning, evaluation, and deployment of Large Language Models (LLMs) using frameworks like Hugging Face Transformers, LangChain, LLM orchestration tools, and vector databases. Develop ML models using supervised, unsupervised, and reinforcement learning techniques, and integrate them into production environments. Design and build end-to-end machine learning pipelines, including data ingestion, feature engineering, training, and deployment. Optimize model performance and latency in real-world applications and implement model monitoring and retraining strategies. Collaborate with cross-functional teams including product, engineering, and business to translate AI capabilities into product features. Mentor junior data scientists and contribute to the team's technical excellence and innovation. Required Skills & Experience: 56 years of professional and relevant experience in data science, AI, or machine learning roles. Proven hands-on experience with LLMs, including fine-tuning, prompt engineering, and RAG (Retrieval-Augmented Generation) pipelines. Deep expertise in Python and ML libraries such as scikit-learn, PyTorch, TensorFlow, and transformers. Strong understanding of agentic AI principles, autonomous agents, and task orchestration. Experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure for deploying AI models. Exposure to API development, ML model serving, and integration with real-time systems. Excellent communication and collaboration skills in cross-functional environments. Educational Qualification: Bachelor of Technology (B.Tech) in Computer Science, Data Science, Artificial Intelligence, or a related field from a recognized institution. Preferred Qualifications: Contributions to open-source AI/ML projects or research publications related to LLMs or agent-based systems. Familiarity with LangChain, AutoGPT, CrewAI, or other agent orchestration frameworks. Experience with vector databases (e.g., FAISS, Pinecone) and knowledge of semantic search. Understanding of multi-agent collaboration, goal decomposition, and planning architectures.

Lead the design, development, and deployment of advanced machine learning models and algorithms. Train and fine-tune generative models on large datasets, optimizing model performance and efficiency. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and generative AI libraries., Understanding of C++ programming principles. Experience of developing and deploying solutions on Nvidia or Intel software stacks will be an added advantage. Excellent problem-solving skills and the ability to work on complex, unstructured challenges. Proficient Understanding of distributed Computing Principles. Working knowledge of frameworks such as accelerate, deepspeed, etc. Experience with hiring, mentoring and leading teams of ML engineers, data engineers, etc. Conduct in-depth data analysis, feature engineering, and data preprocessing to extract meaningful insights. Develop and execute data strategies to collect, process, and store data effectively. Work closely with data engineers and architects to ensure data availability and quality. Collaborate with cross-functional teams to develop AI-powered solutions that address business challenges and opportunities. Ensure the successful integration of AI models into production systems. Stay up-to-date with the latest trends and advancements in data science and AI. Drive research initiatives to explore and implement innovative techniques and technologies. Lead research initiatives to develop novel AI techniques and technologies. Communicate findings, insights, and project progress to non-technical stakeholders in a clear and understandable manner. Publications or contributions to the field of CV, NLP or generative AI are a plus.

Job Description Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your deep learning and AI expertise in a new cutting-edge field. You’ll work alongside innovative, analytical, and collaborative teammates. You'll spearhead the development and deployment of advanced generative AI models, impacting the way we approach transport solutions. Day-to-day, you’ll work closely with teams across the business (data scientists, software engineers, project managers), architecting scalable machine learning solutions and much more. You’ll specifically take care of leading research initiatives, optimizing AI model efficiency but also fostering a culture of continuous improvement and innovation. We’ll look to you for: 7-10 years of experience in machine learning, deep learning. Experience End-to-end architecture design for machine learning solutions Deployment of AI models into scalable services Staying at the forefront of generative AI advancements Optimizing models for performance and scalability Collaborating with cross-functional teams for successful project delivery All about you We value passion and attitude over experience. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: Degree in Computer Science, Information Technology, Electrical Engineering, or related field Experience or understanding of machine learning, deep learning, generative AI and MLOps Knowledge of deep learning techniques and frameworks (TensorFlow, PyTorch) Familiarity with cloud platforms, preferably Microsoft Azure A certification in AI or machine learning is advantageous Strong analytical and problem-solving skills Excellent communication and team collaboration abilities Things you’ll enjoy Join us on a life-long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You’ll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you! Important to note As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone. Job Segment: Cloud, Computer Science, Database, Technology, Research

Qualifications and Experience: Exp. : 1+ year Salary : Upto 15LPA Location : Gurgaon Skills : AI, ML, Python, SQL, NOSQL, AWS, GCP, Tensorflow, Database Management, Language R

Job Title: Lead Data Scientist We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. In this role, you will be responsible for leading data-driven projects, mentoring junior data scientists, and guiding the organization in making strategic decisions based on data insights. Key Responsibilities: - Develop and implement advanced statistical models and algorithms to analyze complex data sets. - Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions. - Mentor and oversee a team of data scientists, providing guidance on best practices and techniques in data analysis and modeling. - Communicate findings and insights to stakeholders through presentations, reports, and visualizations. - Stay current with industry trends and emerging technologies in data science and analytics. - Design and implement experiments to validate models and hypotheses. - Ensure the quality and integrity of data throughout the analytic process. Qualifications: - Master's. in Computer Science, Statistics, Mathematics, or a related field. - Proven experience as a Data Scientist, with a strong portfolio of successful projects. - Expertise in programming languages such as Python or R, as well as experience with machine learning frameworks. - Strong knowledge of statistical analysis and modeling techniques. - Excellent problem-solving skills and the ability to work with large and complex data sets. - Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders. - Experience in leading and managing teams is a plus. We offer a competitive salary, comprehensive benefits, and the opportunity to work in a collaborative and innovative environment. If you are passionate about data science and eager to make a significant impact, we would love to hear from you. Roles and Responsibilities Job Title: Lead Data Scientist Roles and Responsibilities: 1. Leading the design and implementation of advanced machine learning models and algorithms to address complex business problems. 2. Collaborating with cross-functional teams to define data strategies and identify opportunities for data-driven decision-making. 3. Overseeing data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis and modeling. 4. Mentoring and guiding junior data scientists and analysts, fostering a culture of continuous learning and innovation within the team. 5. Communicating findings and insights to stakeholders through visualizations, presentations, and reports, ensuring clarity and understanding of complex analyses. 6. Staying current with industry trends, tools, and technologies in data science, and applying best practices to enhance team capabilities and project outcomes. 7. Developing and maintaining scalable data pipelines and architectures to support large-scale data processing. 8. Evaluating the performance of statistical models and machine learning algorithms to ensure accuracy and effectiveness in real-world applications. 9. Collaborating with IT and engineering teams to deploy models into production environments and monitor their performance. 10. Contributing to the strategic direction of the data science team and advising leadership on data-driven opportunities and potential risks.

About the Role: We are seeking a highly skilled and motivated Senior Data Scientist with 56 years of experience to drive the development of intelligent AI systems. This role requires extensive hands-on experience with Large Language Models (LLMs) , strong background in Agentic AI , Machine Learning , and Python programming . You will work on designing autonomous agents, building scalable ML pipelines, and integrating advanced LLM-powered solutions into real-world products. Key Responsibilities: Architect and implement agentic AI systems that use LLMs for autonomous reasoning, planning, and multi-step task execution. Lead the development, fine-tuning, evaluation, and deployment of Large Language Models (LLMs) using frameworks like Hugging Face Transformers, LangChain, LLM orchestration tools, and vector databases. Develop ML models using supervised, unsupervised, and reinforcement learning techniques, and integrate them into production environments. Design and build end-to-end machine learning pipelines, including data ingestion, feature engineering, training, and deployment. Optimize model performance and latency in real-world applications and implement model monitoring and retraining strategies. Collaborate with cross-functional teams including product, engineering, and business to translate AI capabilities into product features. Mentor junior data scientists and contribute to the team's technical excellence and innovation. Required Skills & Experience: Contributions to open-source AI/ML projects or research publications related to LLMs or agent-based systems. Familiarity with LangChain, AutoGPT, CrewAI, or other agent orchestration frameworks. Experience with vector databases (e.g., FAISS, Pinecone) and knowledge of semantic search.Understanding of multi-agent collaboration, goal decomposition, and planning architectures. les, autonomous agents, and task orchestration. Experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure for deploying AI models. Exposure to API development, ML model serving, and integration with real-time systems. Excellent communication and collaboration skills in cross-functional environments. Educational Qualification: Bachelor of Technology (B.Tech) in Computer Science, Data Science, Artificial Intelligence, or a related field from a recognized institution. Preferred Qualifications: Contributions to open-source AI/ML projects or research publications related to LLMs or agent-based systems. Familiarity with LangChain, AutoGPT, CrewAI, or other agent orchestration frameworks. Experience with vector databases (e.g., FAISS, Pinecone) and knowledge of semantic search. Understanding of multi-agent collaboration, goal decomposition, and planning architectures.

Hi Immediate opening for Data Scientist Lead Location : Ahmedabad ( Onsite only ) Experience : 6 + years Job Description : Key Skills : Advanced degree or Masters degree in machine learning/data science/computer science or a related field Proven experience in developing and deploying machine learning models in a healthcare or RCM setting Strong programming skills in languages like Python or R Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Deep understanding of healthcare data and industry-specific challenges Strong problem-solving and analytical abilities Excellent leadership and team management skills Effective communication and stakeholder management skills Experience in MLOps, containerization, CI/CD pipeline is a plus Role & responsibilities: Engage with business and product teams to identify and flesh out ML use-cases Responsible for identifying needs, ingestion, quality and value evaluation, distillation & analysis of both structured and unstructured data from multiple sources Researching solutions to overcome machine learning challenges Managing and mentoring a team of ML engineers work allocation and planning, problem solving, tactical problem solving and thought leadership Leading development and optimization of machine learning and deep learning models Customizing models and build on top of existing framework to address client specific requirements Creating assets to fast-track solution development Staying informed about latest developments in Data Science / AI field Candidates serving notice / Early Immediate joiners can share updated CV on anand.rawal@agshealth.com

About Neo Group: Neo is a new-age, focused Wealth and Asset Management platform in India, catering to HNIs, UHNIs and multi-family offices. Neo stands on its three pillars of unbiased advisory, transparency and cost-efficiency, to offer comprehensive, trustworthy solutions. Founded by Nitin Jain (ex-CEO of Edelweiss Wealth), Neo has amassed over USD 3 Billion (₹25,000 Cr.) of Assets Under Advice within a short span of 2 years since inception, including USD 360 Million (₹3,000 Cr.) Assets Under Management. We have recently partnered with Peak XV Partners via a USD 35 Million growth round. To know more, please visit: www.neo-group.in Position: Data Scientist Location: Mumbai Experience: 2-5 years Job Description: You are a data pro with deep statistical knowledge and analytical aptitude. You know how to make sense of massive amounts of data and gather deep insights. You will use statistics, data mining, machine learning, and deep learning techniques to deliver data-driven insights for clients. You will dig deep to understand their challenges and create innovative yet practical solutions. Responsibilities: • Meeting with the business team to discuss user interface ideas and applications. • Selecting features, building and optimizing classifiers using machine learning techniques • Data mining using state-of-the-art methods • Doing ad-hoc analysis and presenting results in a clear manner • Optimize application for maximum speed and scalability • Assure that all user input is validated before submitting code • Collaborate with other team members and stakeholders • Taking ownership of features and accountability Requirements: • 2+ years’ experience in developing Data Models • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Excellent understanding of NLP and language processing • Proficient understanding of Python or PySpark • Basic understanding of Python and databases such as MongoDB or MySQL • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Build Acquisition Scorecard Models • Build Behaviour Scorecard Models • Created Threat Detection Models • Created risk profiling model or classification model • Build Threat/Fraud Triggers from various sources of data • Experience with Data Analysis Libraries - NumPy, Pandas, Statsmodels, Dask • Good understanding of Word2vec, RNNs, Transformers, Bert, Resnet, MobileNet, Unet, Mask-RCNN, Siamese Networks, GradCam, image augmentation techniques, GAN, Tensorboard • Ability to provide accurate estimates for tasks and detailed breakdowns for planning and managing sprints • Deployment - Flask, Tensorflow serving, Lambda functions, Docker is a plus • Previous Experience leading a DS team is a plus Personal Qualities: • An ability to perform well in a fast-paced environment • Excellent analytical and multitasking skills • Stays up-to-date on emerging technologies • Data-oriented personality Why join us? We will provide you with the opportunity to challenge yourself and learn new skills, as you become an integral part our growth story. We are group of ambitious people who believe in building a business environment around new age concepts, framework, and technologies built on a strong foundation of industry expertise. We promise you the prospect of being surrounded by smart, ambitious, motivated people, day-in and day-out. That’s the kind of work you can expect to do at Neo. Show more Show less

Your Team Responsibilities Datadesk is a Go to team for any data requirements, new vendor data on-boardings across business units within MSCI. As part of Datadesk, you are proficient in handling a diverse range of datasets, including (Equity, FI, Crypto, Pharma, Thematic, ESG, Private, etc.) Datadesk is a Centralized team to manage askData service. Datadesk also Participates in integration of recently acquired companies. Early adopter of new technologies (AI, Cloud, DSP, etc.) Your Key Responsibilities Utilize Python and frameworks like pandas, numpy, and dask to process, aggregate, and manipulate large financial datasets. Apply statistical modeling and AI techniques to improve data processing, forecasting, and decision-making. Identify opportunities for AI adoption in data processing, analytics, and decision-making. Ensure data quality, integrity, and consistency across different sources. Create presentations and reports that effectively communicate data findings to stakeholders. Take ownership of assigned tasks with minimal supervision, ensuring timely and high-quality deliverables. Your Skills And Experience That Will Help You Excel Degree in computer science, statistics, Information Technology and/or Finance with 4 -7 years of professional experience. You are proficient in PYTHON and it's various frameworks like pandas , numpy and dask. Good knowledge in statistics as well as statistical modelling which will be used for aggregating big data set , resampling data, and explaining data. Data Visualization Framework like Power Bi , Stream lit or any other Python Frontend framework is a plus. You have strong interest in Finance - work experience in finance and /or capital markets You have experience dealing with providers of financial data products (MSCI, Refinitiv, ICE, S&P, Factset etc.) preferred Good communication skills (written and oral) and proficiency in creating presentations. You are an independent worker who can drive certain parts of the work with minimal oversight About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com Show more Show less

Job Description Job Details: We are seeking a highly motivated and enthusiastic Junior Data Scientist with 2-3 years of experience to join our data science team. This role offers an exciting opportunity to contribute to both traditional Machine Learning projects for our commercial IoT platform (EDGE Live) and cutting-edge Generative AI initiatives. Position: Data Scientist Division & Department: Enabling Functions_Business Technology Group (BTG) Reporting To: Customer & Commercial Experience Products Leader Educational Qualifications Bachelor's degree in Mechanical, Computer Science, Data Science, Mathematics, or a related field. Experience 2-3 years of hands-on experience with machine learning Exposure to Generative AI concepts and techniques, such as Large Language Models (LLMs), RAG Architecture Experience in manufacturing and with an IoT platform is preferable Role And Responsibilities Key Objectives Machine Learning (ML) Assist in the development and implementation of machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Help with Python development to integrate models with the overall application Monitor and evaluate model performance using appropriate metrics and techniques. Generative AI Build Gen AI-based tools for various business use cases by fine-tuning and adapting pre-trained generative models Support the exploration and experimentation with Generative AI models Research & Learning Stay up-to-date with the latest advancements and help with POCs Proactively research and propose new techniques and tools to improve our data science capabilities. Collaboration And Communication Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to understand requirements and deliver impactful solutions. Communicate findings, model performance, and technical concepts to both technical and non-technical audiences. Technical Competencies Programming: Proficiency in Python, with experience in libraries like numpy, pandas, and matplotlib for data manipulation and visualization. ML Frameworks: Experience with TensorFlow, PyTorch, or scikit-learn. Cloud & Deployment: Basic understanding of cloud platforms such as Databricks, Google Cloud Platform (GCP), or Microsoft Azure for model deployment. Data Processing & Evaluation: Knowledge of data preprocessing, feature engineering, and evaluation metrics such as accuracy, F1-score, and RMSE. Show more Show less

Preferred candidate profile Proficient in Java, C++, Python, or similar languages. Experience with SQL and relational databases (e.g., Oracle, Data Warehouse). Hands-on in building ML models or algorithms for real-world use. Background in ML, deep learning, NLP, computer vision, or data science. Knowledge of deep learning architecture, training optimization, and model pruning.

Job Title: Senior Data Scientist Total Experience: 4Yrs–8+Yrs with 2–3 years of relevant experience. Location: Chennai - Hybrid About the Role: We are seeking an experienced Senior Data Scientist to take part in the development of advanced AI solutions with a strong focus on Generative AI (Gen AI) and LLMs. This role requires detep technical expertise in cutting-edge frameworks such as LangChain, CrewAI, and AutoGen, as well as experience in building full-stack AI systems to production. Key Responsibilities: Architect, design, and implement Gen AI / LLM-based solutions using LangChain, CrewAI, AutoGen. Develop advanced RAG pipelines, structured prompting (e.g., Chain of Thoughts), and implementKnowledge Graphs to enhance AI reasoning Lead full-cycle AI product development, including model training, evaluation, deployment, and CI/CD integration for scalable delivery Work with large and complex datasets, performing preprocessing, feature engineering, and web scraping where required Build and maintain AI model pipelines and services integrated with Vector DBs, Graph DBs, and BigData platforms. Utilize cloud-based AI offerings (Azure AI Services, AWS Bedrock, GCP Vertex AI) for deploying scalable and secure AI products Collaborate cross-functionally with engineering, product, and domain experts to translate business needs into AI solutions Stay updated on the latest AI technologies and best practices. Must-Have Skills: Core AI Capabilities Gen AI, LLMs (OpenAI, Cohere, Claude, etc.), Agentic AI, Prompting, Chain of Thoughts LangChain, CrewAI, AutoGen, Advanced RAG technics Knowledge Graph design and implementation Strong Python and SQL programming AI Product C Deployment End-to-end AI product development lifecycle Model deployment, evaluation, CI/CD pipeline automation Web scraping and classic ML/NLP model development and validation Databases Vector DBs, Graph DBs, BigData platforms etc. Cloud Integration Azure AI Services, AWS Bedrock, GCP AI models Cloud-native AI deployments using managed services Good-to-Have Skills: Model governance and benchmarking frameworks Experience with Streamlit or similar tools for rapid prototyping Knowledge of Time Series forecasting and signal-based modeling Domain expertise or project experience in: Healthcare, Automotive, Retail, Oil C Gas Show more Show less

Skills/ Qualifications Required: Relevant experience in data science/ data analytics role with an end-to-end understanding of ML based project’s development & implementation Proficient in building and deploying Machine Learning (Predictive & Prescriptive modelling) , NLP Expertise in Demand Forecasting Proficient in tools / languages like SQL, Python & PySpark Good understanding of Probability & Statistics Hands-on experience in Azure Good communication skills Job Responsibilities Data collation, processing, cleaning & transformation along with feature engineering and model development. Hands-on with model training, evaluation & fine tuning. Ensure output’s thorough quality check & provide analytics driven insights and next steps in involved project(s) Develop & implement various customer segmentation, LTV & marketing campaign optimization models. Actively own & manage client deliverables. Effectively engage with client & translate client business requirements into equivalent analytical problems. Understand data and different platforms used by the client. Actively contribute towards design methodology for problem solving. Analyze large & complex data sets to derive valuable insights Interested candidates please send their resume at faiza.gul@exlservice.com Show more Show less

Lead Data Scientist, Operations Mumbai, India About Argus: Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 30 offices in the worlds principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic. What were looking for: Join our Generative AI team to lead a new group in India, focused on creating and maintaining AI-ready data. As the point of contact in Mumbai, you will guide the local team and ensure seamless collaboration with our global counterparts. Your contributions will directly impact the development of innovative solutions used by industry leaders worldwide, supporting text and numerical data extraction, curation, and metadata enhancements to accelerate development and ensure rapid response times. You will play a pivotal role in transforming how our data are seamlessly integrated with AI systems, paving the way for the next generation of customer interactions. What will you be doing: Lead and Develop the Team : Oversee a team of data scientists in Mumbai. Mentoring and guiding junior team members, fostering their professional growth and development. Strategic Planning : Develop and implement strategic plans for data science projects, ensuring alignment with the company's goals and objectives. AI-Ready Data Development: Design, develop, and maintain high-quality AI-ready datasets, ensuring data integrity, usability, and scalability to support advanced Generative AI models. Advanced Data Processing: Drive hands-on efforts in complex data extraction, cleansing, and curation for diverse text and numerical datasets. Implement sophisticated metadata enrichment strategies to enhance data utility and accessibility for AI systems. Algorithm Implementation & Optimization: Implement and optimize state-of-the-art algorithms and pipelines for efficient data processing, feature engineering, and data transformation tailored for LLM and GenAI applications. GenAI Application Development: Apply and integrate frameworks like LangChain and Hugging Face Transformers to build modular, scalable, and robust Generative AI data pipelines and applications. Prompt Engineering Application: Apply advanced prompt engineering techniques to optimize LLM performance for specific data extraction, summarization, and generation tasks, working closely with the Lead's guidance. LLM Evaluation Support: Contribute to the systematic evaluation of Large Language Models (LLMs) outputs, analysing quality, relevance, and accuracy, and supporting the implementation of LLM-as-a-judge frameworks. Retrieval-Augmented Generation (RAG) Contribution: Actively contribute to the implementation and optimization of RAG systems, including working with embedding models, vector databases, and, where applicable, knowledge graphs, to enhance data retrieval for GenAI. Technical Leadership : Act as a technical leader and subject matter expert for junior data scientists, providing guidance on best practices in coding and PR reviews, data handling, and GenAI methodologies. Cross-Functional Collaboration: Collaborate effectively with global data science teams, engineering, and product stakeholders to integrate data solutions and ensure alignment with broader company objectives. Operational Excellence: Troubleshoot and resolve data-related issues promptly to minimize potential disruptions, ensuring high operational efficiency and responsiveness. Documentation & Code Quality: Produce clean, well-documented, production-grade code, adhering to best practices for version control and software engineering. Skills and Experience: Leadership Experience: Proven track record in leading and mentoring data science teams, with a focus on strategic planning and operational excellence. Academic Background: Advanced degree in AI, statistics, mathematics, computer science, or a related field. Programming and Frameworks: 5+ years of hands-on experience with Python, TensorFlow or PyTorch, and NLP libraries such as spaCy and Hugging Face. GenAI Tools : 2+ years of Practical experience with LangChain, Hugging Face Transformers, and embedding models for building GenAI applications. Prompt Engineering: Deep expertise in prompt engineering, including prompt tuning, chaining, and optimization techniques. LLM Evaluation: Experience evaluating LLM outputs, including using LLM-as-a-judge methodologies to assess quality and alignment. RAG and Knowledge Graphs: Practical understanding and experience using vector databases. In addition, familiarity with graph-based RAG architectures and the use of knowledge graphs to enhance retrieval and reasoning would be a strong plus. Cloud: 2+ years of experience with Gemini/OpenAI models and cloud platforms such as AWS, Google Cloud, or Azure. Proficient with Docker for containerization. Data Engineering: Strong understanding of data extraction, curation, metadata enrichment, and AI-ready dataset creation. Collaboration and Communication : Excellent communication skills and a collaborative mindset, with experience working across global teams. Whats in it for you: Competitive salary Hybrid Working Policy (3 days in Mumbai office/ 2 days WFH once fully inducted) Group healthcare scheme 18 days annual leave 8 days of casual leave Extensive internal and external training Hours: This is a full-time position operating under a hybrid model, with three days in the office and up to two days working remotely. The team supports Argus key business processes every day, as such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 11am to 8pm with each member of the team participating up to 2/3 times a week. For more details about the company and to apply please make sure you send your CV and cover letter via our website: www.argusmedia.com/en/careers/open-positions By submitting your job application, you automatically acknowledge and consent to the collection, use and/or disclosure of your personal data to the Company. Argus is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.

Job Title: Data Scientist – AI & Algorithms Location: On-site – New Delhi Company: WaysAhead Technology Pvt. Ltd. Vertical: Data Engineering & AI Innovation Experience: 2–6 years Open position: 1 Job Description: We are looking for an experienced Data Scientist with a strong foundation in algorithms, large language models (LLMs), and computer vision. The ideal candidate will be proficient in Python and capable of building scalable, production-grade AI solutions from development to deployment. You will be working at the intersection of retail intelligence and cutting-edge AI, contributing to the design of smart systems and APIs for real-time business impact. Key Responsibilities: Design and implement machine learning models for classification, recommendation, NLP, or vision-based tasks. Develop and fine-tune LLMs or implement RAG-based systems. Write clean, modular Python code for algorithmic models and data workflows. Develop REST APIs for model access and integrate them into existing platforms. Deploy models to production environments using Docker, FastAPI, or Flask. Collaborate with product and business teams to understand use cases and deliver AI-driven features. Skill Set: Must have skills: Python (Advanced) Machine Learning (Sklearn) Algorithm Development LLMs / NLP / Transformers REST API Development Model Deployment (Docker etc.) FastAPI / Flask HuggingFace / OpenAI APIs MsSQL RAG / Fine-tuning pipelines Good to have skills: PostgreSQL Git / CI-CD basics Prompt Engineering / Embedding use LangChain, Unsloth, Vector DBs (FAISS) Streamlit / Gradio UI wrappers Nice to have skills: Azure / AWS ML deployment pipelines ONNX / Model Optimization Computer Vision (OpenCV, YOLO, etc.) PyTorch / TensorFlow (Intermediate) Job Types: Full-time, Permanent, Contractual / Temporary Contract length: 12 months Pay: ₹400,000.00 - ₹1,200,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Expected Start Date: 10/06/2025

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Meet your team: This role sits within Credit card fraud risk strategy team of Global Fraud Prevention Org., focused on safeguarding our customers and business from evolving fraud threats. The team is responsible for developing and executing data-driven strategies to mitigate fraud in UK PPC portfolio. What do you need to know about the role: Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth. You will be working closely with global fraud risk professionals focusing on managing and mitigating fraud risk in the UK PayPal Credit Portfolio, Be a part of this fraud revolution and enjoy the journey being with PayPal’s growing team. Why You’ll Love It here: • Impact: Your work directly influences the success and growth of PayPal’s credit offerings. • Learning: Expect to level up your analytical and problem-solving skills every day with more challenges to solve • Growth: The credit card industry is constantly evolving, and you’ll be right there on the cutting edge, sharpening your skills and new learnings along the way. • Culture: We’re a team of passionate professionals who love challenges and are always ready to celebrate a job well done. Job Description: Your way to impact: Own the areas of Transaction Fraud risk policy: Work on Broad area of projects from Card risk strategies, acquisition and payment risk strategies, all depending on the business need. Work closely with Stakeholders: this includes Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance. Proactively identify emerging fraud trends and propose mitigation strategies . Maintain and develop Monitoring and Alerting capabilities: to clearly monitor the PPC Card program health and simplify insights for key stakeholders. Present regular updates to senior leaders: on Portfolio Health, highlights, lowlights, and actionable insights. Your day to day: In this role you will have full ownership of portfolio and is responsible for end-to-end management of Fraud loss and decline rates. Works independently and proficiently. Accountable for own results. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines. Analyze and assess risks to provide informed recommendations for mitigation strategies Prepare periodic KPI reports summarizing the business units’ risk and control environment for senior management What do you need to bring: 2-5 years of domain expertise Excellent Problem-Solving Skills : Strong judgment and the ability to think strategically, creatively, and practically to address complex challenges. Advanced Analytics expertise : Proficiency in SQL, Python, Advanced Excel, Tableau, and other analytics tools, with a proven track record of using them to solve real-world problems. Exceptional communication skills : Outstanding written, verbal communication abilities, capable of translating complex technical concepts into clear, actionable insights for diverse audiences Collaboration & Influence : Strong ability to collaborate across teams, build relationships, and drive results through influence and teamwork Experience in Payments / Transaction risk management / Credit / Fraud Risk is a strong plus. ** We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.