25 Sklearn Jobs

Chubb is a world-renowned insurance leader with operations spanning across 54 countries and territories, offering a wide range of commercial and personal insurance solutions. Known for its extensive product portfolio, robust distribution network, exceptional financial stability, and global presence, Chubb is committed to providing top-notch services to its diverse clientele. The parent company, Chubb Limited, is publicly listed on the New York Stock Exchange (NYSE: CB) and is a constituent of the S&P 500 index, boasting a workforce of around 43,000 individuals worldwide. For more information, visit www.chubb.com. Chubb India is embarking on an exciting digital transformation journey fueled by a focus on engineering excellence and analytics. The company takes pride in being officially certified as a Great Place to Work for the third consecutive year, underscoring its culture that nurtures innovation, growth, and collaboration. With a talented team of over 2500 professionals, Chubb India promotes a startup mindset that encourages diverse perspectives, teamwork, and a solution-oriented approach. The organization is dedicated to honing expertise in engineering, analytics, and automation, empowering its teams to thrive in the ever-evolving digital landscape. As a Full Stack Data Scientist within the Advanced Analytics team at Chubb, you will play a pivotal role in developing cutting-edge data-driven solutions using state-of-the-art machine learning and AI technologies. This technical position involves leveraging AI and machine learning techniques to automate underwriting processes, enhance claims outcomes, and provide innovative risk solutions. Ideal candidates for this role possess a solid educational background in computer science, data science, statistics, applied mathematics, or related fields, coupled with a penchant for solving complex problems through innovative thinking while maintaining a keen focus on delivering actionable business insights. You should be proficient in utilizing a diverse set of tools, strategies, machine learning algorithms, and programming languages to address a variety of challenges. Key Responsibilities: - Collaborate with global business partners to identify analysis requirements, manage deliverables, present results, and implement models. - Leverage a wide range of machine learning, text and image AI models to extract meaningful features from structured and unstructured data. - Develop and deploy scalable and efficient machine learning models to automate processes, gain insights, and facilitate data-driven decision-making. - Package and publish codes and solutions in reusable Python formats for seamless integration into CI/CD pipelines and workflows. - Ensure high-quality code that aligns with business objectives, quality standards, and secure web development practices. - Build tools for streamlining the modeling pipeline, sharing knowledge, and implementing real-time monitoring and alerting systems for machine learning solutions. - Establish and maintain automated testing and validation infrastructure, troubleshoot pipelines, and adhere to best practices for versioning, monitoring, and reusability. Qualifications: - Proficiency in ML concepts, supervised/unsupervised learning, ensemble techniques, and various ML models including Random Forest, XGBoost, SVM, etc. - Strong experience with Azure cloud computing, containerization technologies (Docker, Kubernetes), and data science frameworks like Pandas, Numpy, TensorFlow, Keras, PyTorch, and sklearn. - Hands-on experience with DevOps tools such as Git, Jenkins, Sonar, Nexus, along with data pipeline building, debugging, and unit testing practices. - Familiarity with AI/ML applications, Databricks ecosystem, and statistical/mathematical domains. Why Chubb - Join a leading global insurance company with a strong focus on employee experience and a culture that fosters innovation and excellence. - Benefit from a supportive work environment, industry leadership, and opportunities for personal and professional growth. - Embrace a startup-like culture that values speed, agility, ownership, and continuous improvement. - Enjoy comprehensive employee benefits that prioritize health, well-being, learning, and career advancement. Employee Benefits: - Access to savings and investment plans, upskilling opportunities, health and welfare benefits, and a supportive work environment that encourages inclusivity and growth. Join Us: Your contributions are integral to shaping the future at Chubb. If you are passionate about integrity, innovation, and inclusion and ready to make a difference, we invite you to be part of Chubb India's journey. Apply Now: Chubb India Career Page,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning models into production systems. - Implementing CI/CD pipelines for continuous integration and deployment. **Documentation and Training:** - Documenting processes, models, and results. - Providing training and support to stakeholders on NLP techniques and tools. **Qualifications we seek in you:** **Minimum Qualifications / Skills:** - Bachelor's degree in computer science, engineering, or a related field. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

You have over 5 years of experience in building production-grade Neural Network models using Computer Vision or Natural Language Processing techniques. You possess a strong understanding of various machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, and Neural Networks. Experience with Deep Learning frameworks like TensorFlow, PyTorch, and MxNet is part of your skillset. Proficiency in common data science toolkits such as R, Sklearn, NumPy, MatLab, and MLib is highly desirable. Additionally, you have solid applied statistics skills encompassing distributions, statistical testing, and regression. Your expertise extends to using query languages like SQL, Hive, Pig, and NoSQL databases. In this role, you will collaborate with Product Managers, Architects, and Engineering Leadership to conceptualize, strategize, and develop new products focused on AI/ML initiatives. You will be responsible for developing, driving, and executing the long-term vision and strategy for the Data Science team by engaging with multiple teams and stakeholders across the organization. Your tasks will involve architecting, designing, and implementing large-scale machine learning systems. Specifically, you will develop Neural Network models for information extraction from mortgage documents using Computer Vision and NLP techniques. Ad-hoc analysis and clear presentation of results to various audiences and key stakeholders will be part of your routine. You will also design experiments, test hypotheses, and build models while conducting advanced data analysis and highly complex algorithm designs. Applying advanced statistical, predictive, and machine learning modeling techniques to enhance multiple real-time decision systems will be a key aspect of your role. You will collaborate with development teams to deploy models in the production environment to support ML-driven product features. Furthermore, you will define business-specific performance metrics to assess model effectiveness and continuously monitor and enhance these metrics over time for models in a production environment. To qualify for this position, you should hold an M.S. in mathematics, statistics, computer science, or a related field, with a Ph.D. degree being preferred. You must have over 5 years of relevant quantitative and qualitative research and analytics experience. Excellent communication skills and the ability to effectively convey complex topics to a diverse audience are essential attributes for this role.,

The position of Data Scientist in the Fraud & Operational Analytics Team of the Data & Analytics department involves creating Machine Learning/AI solutions to enhance fraud prevention and improve operational scalability. Your primary focus will be on developing cutting-edge ML solutions to drive customer experience, reduce operational costs, and mitigate risks effectively. As a Data Scientist, your responsibilities will include analyzing extensive datasets to extract business insights, understanding various fraud patterns, developing advanced ML models for fraud detection, and innovating with a continuous emphasis on improving approaches. You will also be exploring additional data sources to enhance the effectiveness of traditional sources and exhibiting expertise in data strategy and model training pipelines. Moreover, you will be expected to drive insights for actionable data-driven strategies, provide analytical support to the business and risk teams through bespoke and strategic analysis, and possess proficiency in econometric, statistical, and machine learning techniques. Strong knowledge of Python, SQL, Pandas, NumPy, Sklearn, TensorFlow/PyTorch, and statistical concepts for regression, classification, and anomaly detection is essential for this role. To qualify for this position, you should hold a Bachelor's degree in Science, Technology, or Computer Applications for Graduation and a Master's degree in the respective fields for Post-Graduation. The ideal candidate will have 2 to 5 years of experience in the field of data science, demonstrating a logical thought process and the ability to translate complex problems into data-driven solutions effectively.,

We are seeking talented Python Developers who are passionate about creating machine learning solutions using Python and are interested in collaborating with a US Startup. If you are enthusiastic about gaining experience in a startup environment and have the flexibility to work from any location with a stable internet connection, then this opportunity is perfect for you. Whether you prefer working from a vacation destination or a rural setting, remote work is the norm, eliminating the need for long commutes or frequent in-person meetings. If you are ready to work diligently and enjoy life to the fullest, we welcome you to join our team. As part of the application process, candidates must complete a pre-screening behavioral assessment form for consideration. Requirements: - A Bachelors or Masters degree in Statistics/Math, Computer Science, Finance/Economics, Computer Engineering, or a related quantitative field (Ph.D. candidates are encouraged to apply) - Proficiency in Python Web Development with Flask - Knowledge of SQL, Unix, Docker, Git, and relational databases - Strong analytical, design, problem-solving, and debugging skills - Ability to work independently from a home office without constant supervision - Solid experience in DevOps and deployment pipelines for software deployment to servers (On-premise hosting and Azure) - Experience in Analytics/Machine Learning projects, including familiarity with SkLearn/spark libraries and other relevant machine learning packages in web servers - Understanding of software design patterns and best practices in software engineering - Flexible schedule with most work hours concentrated in the evenings post-college (approximately 3-5 hours daily) Responsibilities include: - Writing Python code with a focus on scalability, supportability, and maintainability - Software development, configuration, and customization - Diagnosing and resolving production issues - Enhancing and developing the company's technology suite through collaboration with development teams to identify application requirements - Assessing and prioritizing client feature requests Qualities we value in candidates: - Reliability, independence, and the ability to multitask - Honesty and transparency - Team player who enjoys collaborating and working in a team environment - Effective communication skills to convey goals to team members - Self-starter capable of taking ownership of projects and tasks - Passion for delivering exceptional products and experiences to customers with a strong sense of ownership - Willingness to experiment with new tools, techniques, and approaches even in the face of failure Desirable qualifications: - Pursuing or completed MS/Ph.D. in Computing, Physics, or other STEM fields - Curiosity and eagerness to learn about Analytics/Machine Learning - Previous experience in Financial Services is a bonus Benefits: - Remote-first company allowing 100% remote work to suit your schedule - Flexible working hours - Competitive stipend/salary Please note: - We maintain a zero-tolerance policy towards plagiarism in the screening test - Submissions must be sent as a zip attachment via email; other forms of submission will be automatically rejected - Candidates from top schools such as Pune University, Mumbai University, NIT, IISER, TIFR, IIT, ISI, or leading institutions in the USA/UK will be given preference,

Genrobotics Innovations is seeking a passionate and talented machine learning intern with a strong foundation in machine learning (ML) and deep learning (DL) algorithms, particularly in the area of computer vision. The ideal candidate will possess a deep understanding of various ML/DL techniques and their applications to real-world problems. In this role, you will collaborate closely with team stakeholders, contributing to the development, testing, analysis, and optimization of advanced machine learning algorithms for our AI systems. You will work on projects that involve data preprocessing, model development, and fine-tuning, with a focus on delivering high-performing solutions. This internship offers a unique opportunity to gain hands-on experience in cutting-edge AI technologies, while contributing to the development of innovative solutions that impact real-world applications. It is an excellent opportunity for anyone looking to expand their expertise in the fast-evolving field of artificial intelligence and computer vision. Responsibilities And Duties - Collaborate with other team members to understand the requirement and gather data. - Develop ML/DL algorithms specifically computer vision models, test, analyse and optimize the model. - Collect data for the model from different sources, preprocess and augment it to develop efficient, data-driven models. - Collaborate with different stakeholders of the team to gather requirements, develop POCs, and implement the best possible solution. - Develop a user interface for the application so that the end-user can make use of the AI system. - Document the work processes, methodologies, and results to ensure transparency and facilitate knowledge sharing. - Stay up-to-date with latest trends, tools, and technologies in machine learning and computer vision. Skills Required - Knowledge of machine learning concepts and techniques. - Profound knowledge of Python programming language. - Familiarity with ML libraries such as OpenCV, numpy, pandas, sklearn, and matplotlib. - Knowledge of mediapipe would be a plus but not mandatory. - Strong analytical and problem-solving skills. - Ability to collaborate with different team members and communicate effectively. Basic qualification: Currently pursuing bachelor's or masters in computer science, information technology, artificial intelligence, or related fields. Experience: Fresher. Job Location: Ernakulam, Kerala. Note: This is a paid internship.,

We are seeking exceptional Python Developers interested in collaborating with a US Startup. If you have a genuine passion for creating and implementing machine learning solutions using Python, desire a job offering complete flexibility to work from any location, and are eager to gain experience in a Startup environment, then this role is tailored for you. Whether you prefer working from your dream vacation spot or a serene countryside setting, as long as you have a stable internet connection, you can effectively work remotely from your chosen destination. Bid farewell to long commutes and the hassle of rushing to in-person meetings. Are you ready to dedicate yourself to hard work while also enjoying some well-deserved downtime Let's team up. As part of the application process, interested candidates must complete the pre-screening behavioral assessment form. Without this essential step, candidates will not be considered for this position. **Requirements** - Bachelor's or Master's degree in Statistics/Math, Computer Science, Finance/Economics, Computer Engineering, or a related quantitative field (Ph.D. candidates are encouraged to apply) - Proficiency in Python Web Development, particularly Flask - Familiarity with SQL, Unix, Docker, Git, and relational Databases - Strong analytical, design, problem-solving, and troubleshooting/debugging abilities - Capability to work independently in a home office without the need for constant supervision - Proficient in DevOps and deployment pipelines for software deployment to servers (both On-premise hosting and Azure) - Experience in Analytics/Machine Learning projects, including a solid understanding of how SkLearn/Spark libraries and other machine learning packages function in web servers - Knowledge of software design patterns and software engineering best practices - Flexible schedule, with a focus on evening work post-college hours (approximately 3-5 hours daily) **What You'll Do, But Not Limited To:** - Develop Python code with emphasis on scalability, supportability, and maintainability - Engage in software development, configuration, and customization - Identify and resolve issues in production - Enhance and expand all components of the company's technology suite through collaboration with development teams to determine application requirements - Evaluate and prioritize client feature requests **Who You Are:** - Reliable, Independent, and adept at multitasking - Honest individual who values transparency - Team Player who enjoys collaborative work - Effective Communicator capable of translating goals to team members - Self-Starter who takes ownership of projects and tasks - Builder with a strong commitment to delivering superior products/experiences to customers and taking responsibility for their work - Experimental mindset, always willing to explore new tools, techniques, and approaches, even if failures occur **Nice To Have:** - Pursuing/Completed MS/Ph.D. in Computing, Physics, or other STEM fields - Curious and enthusiastic about learning Analytics/Machine Learning - Prior experience in Financial Services is advantageous **Benefits** - Remote First Company with 100% remote work to accommodate your schedule - Flexible Hours - Competitive Stipend/Salary Please note: - Strict intolerance towards plagiarism during the screening test; any evidence of AI-generated solutions like ChatGPT will result in immediate disqualification. - Submit your assignment only as a zip attachment via email; other forms of submission will be automatically rejected. - Preference will be given to candidates from top schools at Pune University, Mumbai University, NIT, IISER, TIFR, IIT, ISI, or leading schools in the USA/UK.,

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext's direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext Timeline, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. As a Machine Learning Engineer, you will be in charge of building end-to-end machine learning pipelines that operate at a huge scale, from data investigation, ingestions and model training to deployment, monitoring, and continuous optimization. You will ensure that each pipeline delivers measurable impact through experimentation, high-throughput inference, and seamless integration with business-critical systems. This job combines 70% machine learning engineering and 30% algorithm engineering and data science. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Build ML pipelines that train on real big data and perform on a massive scale. Handle a massive responsibility, Advertise on lucrative placement (Samsung appstore, Xiaomi phones, TrueCaller). Train models that will make billions of daily predictions and affect hundreds of millions users. Optimize and discover the best solution algorithm to data problems, from implementing exotic losses to efficient grid search. Validate and test everything. Every step should be measured and chosen via AB testing. Use of observability tools. Own your experiments and your pipelines. Be Frugal. Optimize the business solution at minimal cost. Advocate for AI. Be the voice of data science and machine learning, answering business needs. Build future products involving agentic AI and data science. Affect millions of users every instant and handle massive scale Requirements: MSc in CS/EE/STEM with at least 5 years of proven experience (or BSc with equivalent experience) as a Machine Learning Engineer: strong focus on MLOps, data analytics, software engineering, and applied data science- Must Hyper communicator: Ability to work with minimal supervision and maximal transparency. Must understand requirements rigorously, while frequently giving an efficient honest picture of his/hers work progress and results. Flawless verbal English- Must Strong problem-solving skills, drive projects from concept to production, working incrementally and smart. Ability to own features end-to-end, theory, implementation, and measurement. Articulate data-driven communication is also a must. Deep understanding of machine learning, including the internals of all important ML models and ML methodologies. Strong real experience in Python, and at least one other programming language (C#, C++, Java, Go). Ability to write efficient, clear, and resilient production-grade code. Flawless in SQL. Strong background in probability and statistics. Experience with tools and ML models Experience with conducting A/B test. Experience with using cloud providers and services (AWS) and python frameworks: TensorFlow/PyTorch, Numpy, Pandas, SKLearn (Airflow, MLflow, Transformers, ONNX, Kafka are a plus). AI/LLMs assistance: Candidates have to hold all skills independently without using AI assist. With that candidates are expected to use AI effectively, safely and transparently. Preferred: Deep Knowledge in ML aspects including ML Theory, Optimization, Deep learning tinkering, RL, Uncertainty quantification, NLP, classical machine learning, performance measurement. Prompt engineering and Agentic workflows experience Web development skills Publication in leading machine learning conferences and/or medium blogs.,

As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learning algorithms to analyze vast amounts of information, uncover trends, and patterns. By mining and analyzing data from company databases, you will drive optimization and improvement in product development, marketing techniques, and business strategies. Moreover, you will be expected to create processes and tools to monitor and analyze model performance, data accuracy, and develop data visualization and illustrations to address business problems effectively. Your role will also involve using predictive modeling to enhance and optimize customer experiences and other business outcomes. Collaboration with different functional teams to implement models and monitor outcomes is essential. You will be required to set and provide feedback on FAST goals for reportees. Key responsibilities include applying statistical techniques like regression, properties of distributions, and statistical tests to analyze data, as well as utilizing machine learning techniques such as clustering, decision tree learning, and artificial neural networks for data analysis. Moreover, you will be creating advanced algorithms and statistics through regression, simulation, scenario analysis, and modeling. In terms of data visualization, you will visualize and present data for stakeholders using tools like Periscope, Business Objects, D3, ggplot, etc. You will oversee the activities of analyst personnel, ensuring efficient execution of their duties, while mining the business's database for critical insights and communicating findings to relevant departments. Other expectations include creating efficient and reusable code for data improvement, manipulation, and analysis, managing project codebase through version control tools like git and bitbucket, and creating reports depicting trends and behaviors from analyzed data. You will also be involved in training end users on new reports and dashboards, documenting your work, conducting peer reviews, managing knowledge, and reporting task status. The ideal candidate will possess excellent pattern recognition and predictive modeling skills, a strong background in data mining and statistical analysis, expertise in machine learning techniques, and advanced algorithm creation. Moreover, analytical, communication, critical thinking, attention to detail, mathematical, and interpersonal skills are crucial for success in this role. Proficiency in programming languages such as Java, Python, R, web services like Redshift and S3, statistical and data mining techniques, computing tools, analytical languages, data visualization software, mathematics, spreadsheet tools, DBMS, operating systems, and project management tools is required. Additionally, a strong understanding of statistical concepts, SQL, machine learning (Regression and Classification), deep learning (ANN, RNN, CNN), advanced NLP, computer vision, Gen AI/LLM, AWS Sagemaker/Azure ML/Google Vertex AI, and basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) is essential for this role.,

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

The Computer Vision Engineer position in Pune, India requires an individual with 3+ years of experience who is passionate about joining a dynamic startup team. As a Computer Vision Engineer, your primary responsibility will be to conduct research, develop, maintain, and create scalable CV/ML technologies capable of analyzing video feeds of users engaging in online sessions while identifying anomalies. To qualify for this role, you should possess a BS/MS degree in Computer Science or have equivalent industry and/or research experience in areas such as Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficiency in C/C++ and Python, along with a strong background in a Linux environment is essential. Experience with tools like OpenCV, Numpy, SciPy, Sklearn, and GIT is also required. Desirable skills include expertise in image classification, segmentation, and autonomous feature learning, as well as a solid grasp of linear algebra, optimization, probability, and statistics. Additionally, knowledge of software architecture, API design, parallel programming, and Vision applications will be advantageous. Effective communication skills to convey technical information clearly to both technical and non-technical audiences are crucial for this role. The position is full-time and offers competitive compensation based on experience, including salary and benefits.,

As the Lead Data Scientist at Finicity, a Mastercard company, you will have the opportunity to lead and mentor a team of data scientists in developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring and improving the performance of these models. You will be expected to propose creative solutions to challenges in the financial industry, present technical findings to internal and external stakeholders, and leverage best practices in machine learning and data engineering to develop scalable solutions. To excel in this role, you should have a minimum of 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, as well as experience in transaction classification, risk evaluation, and credit risk modeling would be advantageous. Additionally, you should possess a strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques. Proficiency in SQL and database management is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, and Event Streams. Furthermore, you should have familiarity with relevant tools and frameworks like Tensorflow, Python, Sklearn, and Pandas. Your ability to collaborate effectively and come up with innovative solutions will be crucial in this role. Ideally, you should have a background in Finance or FinTech and hold a Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics. In addition to your technical skills, you should demonstrate a commitment to corporate security responsibilities. This includes abiding by Mastercard's security policies, ensuring the confidentiality and integrity of accessed information, reporting any security breaches, and completing mandatory security trainings as required. Your role as a Lead Data Scientist at Finicity will involve driving innovation and problem-solving in the data science and analytics team to contribute to the financial health of consumers and businesses.,

We are seeking talented Python developers for various positions suitable for individuals with 0-4+ years of experience who are interested in collaborating with a US startup. If you have a genuine passion for creating and implementing machine learning solutions using Python, desire a job that offers remote work flexibility from any location, and are eager to gain experience in a startup environment, then this opportunity is tailored for you. We aim to address the dilemma faced by parents in balancing their careers with providing childcare by prioritizing flexible working hours, remote accessibility, and fostering a healthy work-life balance. Our commitment to creating an ideal work setting for parents and individuals seeking a flexible lifestyle means you can work from your preferred location, whether it's a serene vacation spot or a tranquil farm, as long as you have a reliable internet connection. Say goodbye to long commutes and the rush to attend in-person meetings. If you are ready to work diligently and enjoy life to the fullest, let's collaborate. As part of the application process, candidates must complete a pre-screening behavioral assessment form. Failure to do so will result in candidates not being considered for this role. Requirements: - Bachelor's or Master's degree in Statistics/Math, Computer Science, Finance/Economics, Computer Engineering, or related quantitative fields (Ph.D. candidates are encouraged to apply) - Proficiency in Python Web Development, specifically Flask - Proficient or knowledgeable in React/NodeJS Web Development - Familiarity with SQL, Unix, Docker, Git, and relational databases - Strong analytical, design, problem-solving, and troubleshooting/debugging skills - Strong experience in DevOps and deployment pipelines for software deployment to servers (On-premise hosting and Azure) - Experience in Analytics/Machine Learning projects, with the ability to understand or learn how SkLearn/Spark libraries and other machine learning packages operate in web servers - Knowledge of software design patterns and best practices in software engineering - Ability to work independently in a home office without constant supervision Responsibilities include but are not limited to: - Writing Python code focused on scalability, supportability, and maintainability - Software development, configuration, and customization - Guiding, mentoring, and managing junior team members and interns - Diagnosing and resolving issues in production - Collaborating with development teams to determine application requirements and enhancing all aspects of the company's technology suite - Assessing and prioritizing client feature requests The ideal candidate is: - Reliable, independent, and capable of multitasking - Honest, values transparency highly - A team player who enjoys collaborating and working in a team setting - Communicative and able to effectively communicate goals to other team members - A self-starter who takes ownership of projects and identifies necessary tasks - Passionate about delivering superior products/experiences to customers and takes deep ownership of their work - Experimental, willing to explore new tools, techniques, and approaches even in the face of failure Nice to have: - Pursuing or completed MS/Ph.D. in Computing, Physics, or other STEM fields - Intellectually curious and eager to learn about Analytics/Machine Learning - Previous experience in Financial Services is a bonus Benefits: - Salary range from 2,50,000 to 7,00,000 per year - Remote-first company, offering 100% remote work to accommodate your schedule - Flexible hours - Competitive salary - Growth potential with a company poised for significant expansion in the coming years - Opportunity to work with exceptional leadership and some of the foremost experts in finance, statistics (machine learning), and econometrics Please note our zero-tolerance policy for plagiarism during the screening test. Any indication of submissions generated by AI platforms like ChatGPT will lead to immediate disqualification. Kindly submit your assignment only as a zip attachment in an email, as any other form of submission will be automatically rejected.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

As the Lead Data Scientist at Mastercard, you will have the opportunity to lead, mentor, and grow the data science team focused on developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring, validating, implementing, monitoring, and improving the performance of both internal and external facing machine learning models. You will be expected to propose creative solutions to new challenges in the company, the financial industry, and data science, while effectively presenting technical problems and findings to business leaders and clients. Your responsibilities will also include leveraging best practices in machine learning and data engineering to develop scalable solutions, identifying areas where resources fall short of needs, and providing thoughtful and sustainable solutions to benefit the team. You should be a strong, confident, and excellent writer and speaker, capable of communicating your vision and roadmap effectively to a wide variety of stakeholders. To excel in this role, you should have at least 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation, and credit risk modeling is a plus. A strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques/methods is essential. Proficiency in SQL/Database operations is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, Event Streams, and relevant tools like Tensorflow, Python, Sklearn, and Pandas. Moreover, you should have a strong desire to collaborate and come up with creative solutions, with additional experience in Finance and FinTech being beneficial. A Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics is preferred for this role. As part of Mastercard's corporate security responsibility, you will be expected to abide by the company's security policies and practices, ensure the confidentiality and integrity of accessed information, report any suspected information security violations or breaches, and complete all mandatory security trainings in accordance with Mastercard's guidelines. If you are passionate about leveraging data to provide high-quality customer solutions, possess strong technical leadership skills, and have an entrepreneurial mindset, then this Lead Data Scientist position at Mastercard could be the perfect opportunity for you to make a significant impact across various sectors of the economy.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms. You will work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. It is essential to stay updated with the latest advancements in AI/ML technologies and methodologies and collaborate with cross-functional teams to support various AI/ML initiatives. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field. A strong understanding of machine learning, deep learning, and Generative AI concepts is required. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is highly desirable. Expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data (ETL/ELT) is a plus. Proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks like pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, ETL, as well as experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, is beneficial. Additionally, knowledge of deep learning frameworks such as TensorFlow, Keras, and PyTorch, experience with version control systems like Git and CodeCommit, and strong knowledge and experience in Generative AI/LLM based development are essential for this role. Experience working with key LLM models APIs (e.g., AWS Bedrock, Azure Open AI/OpenAI) and LLM Frameworks (e.g., LangChain, LlamaIndex), as well as proficiency in effective text chunking techniques and text embeddings, are also preferred skills. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer that values diversity and believes that a diverse workforce contributes different perspectives and creative ideas, enabling continuous improvement.,

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,

Genpact is a global professional services and solutions firm with over 125,000 employees in 30+ countries. Driven by curiosity, entrepreneurial agility, and the desire to create value for clients, we serve leading enterprises worldwide with deep business knowledge, digital operations services, and expertise in data, technology, and AI. Our purpose is the relentless pursuit of a world that works better for people. We are currently seeking a Business Analyst - Data Scientist to join our team. In this role, you will be responsible for developing and implementing NLP models and algorithms, extracting insights from textual data, and working collaboratively with cross-functional teams to deliver AI solutions. Responsibilities: Model Development: - Proficiency in various statistical, ML, and ensemble algorithms - Strong understanding of Time series algorithms and forecasting use cases - Ability to evaluate model strengths and weaknesses for different problems Data Analysis: - Extracting meaningful insights from structured data - Preprocessing data for ML/AI applications Collaboration: - Working closely with data scientists, engineers, and business stakeholders - Providing technical guidance and mentorship to team members Integration and Deployment: - Integrating ML models into production systems - Implementing CI/CD pipelines for continuous integration and deployment Documentation and Training: - Documenting processes, models, and results - Providing training and support on NLP techniques and tools to stakeholders Qualifications: Minimum Qualifications / Skills: - Bachelor's degree in computer science, Engineering, or a related field - Strong programming skills in Python and R - Experience with DS frameworks (SKLEARN, NUMPY) - Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch) - Strong problem-solving and analytical skills - Excellent communication and collaboration abilities Preferred Qualifications / Skills: - Experience in Predictive Analytics and Machine Learning techniques - Proficiency in Python/R/Any other open-source programming language - Knowledge of visualization tools such as Tableau, Power BI, Qlikview, etc. - Applied statistics skills - Experience with big data technologies (Hadoop, Spark) - Knowledge of cloud platforms (AWS, Azure, GCP) If you are passionate about leveraging your skills in data science and analytics to drive innovation and value creation, we encourage you to apply for this exciting opportunity at Genpact.,

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Business Analyst Data Scientist In this role, the person is responsible for developing and implementing NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities Model Development: Familiar with different statistical, ML and ensemble algorithms Proficient with Time series algorithms and forecasting usecases Understand model specific strengths and weaknesses and know-how of suitable and unsuitable models for different problems Understand evaluation metrics and recommend the correct evaluation metric for a problem type Data Analysis: Extract meaningful insights from structured data. Preprocess data for ML / AI applications Collaboration: Work closely with data scientists, engineers, and business stakeholders. Provide technical guidance and mentorship to team members. Integration and Deployment: Integrate ML models into production systems. Implement CI/CD pipelines for continuous integration and deployment. Documentation and Training: Document processes, models, and results. Provide training and support to stakeholders on NLP techniques and tools. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor's degree in computer science, Engineering, or a related field. Strong programming skills in Python and R Experience with DS frameworks (SKLEARN, NUMPY). Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Preferred Qualifications/ Skills Predictive Analytics Experience inMachine Learning techniques Experience in Python/R/ Any other open-source programming language Building and implementing models, using/creating algorithms and creating/running simulations using a variety of Tools Good to have - Experience in visualization tools such as Tableau, Power BI, Qlikview etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees, CHAID, CART), Cluster Analysis, Factor Analysis, variable screening, Machine Learning Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning etc. Experience with big data technologies (Hadoop, Spark). Knowledge of cloud platforms (AWS, Azure, GCP). Job Business Analyst Primary Location India-Hyderabad Education Level Bachelor's / Graduation / Equivalent Job Posting Apr 1, 2025, 8:47:23 AM Unposting Date May 1, 2025, 7:29:00 PM Master Skills List Digital Job Category Full Time,

Experience Required We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities 1. AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. 2. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. 3. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. 4. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. 5. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. 6. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) 7. Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. 8. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Technical Skills Proficient in Python, with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization. Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models. Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks. Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications. Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks. Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors. Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows. Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines. Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift. Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency. Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows. Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions. Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets. Familiarity with edge deployment frameworks and optimization for resource-constrained environments.

Roles and Responsibilities: Collect and curate data based on specific project requirements. Perform data cleaning, preprocessing, and transformation for model readiness. Select and implement appropriate data models for various applications. Continuously improve model accuracy through iterative learning and feedback loops. Fine-tune large language models (LLMs) for applications such as code generation and data handling. Apply geometric deep learning techniques using PyTorch or TensorFlow. Essential Requirements: Strong proficiency in Python, with experience in writing efficient and clean code. Ability to process and transform natural language data for NLP applications. Solid understanding of modern NLP techniques such as Transformers, Word2Vec, BERT, etc. Strong foundation in mathematics and statistics relevant to machine learning and deep learning. Hands-on experience with Python libraries including NumPy, Pandas, SciPy, Scikit-learn, NLTK, etc. Experience in various data visualization techniques using Python or other tools. Working knowledge of DBMS and fundamental data structures. Familiarity with a variety of ML and optimization algorithms.

The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities: Design, Develop and Deploy ML powered products and pipelines Mentor a team of Senior and Junior data scientists ML Engineers in delivering large scale projects Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies Research & Implement ML and Deep learning algorithms for production Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing ML librarys and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Manage production pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Lead and mentor by example, including project scrums Technical Requirements: Proven track record as a senior lead ML engineer Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Excellent exposure to large scale model deployment strategies and tools Excellent knowledge of ML & Deep Learning domain Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Open to learning new technologies and programming languages as required A Masters PhD from a recognized institute in a relevant specialization Good to have: 6-7+ years of relevant experience in ML Engineering Prior substantial experience from the Economics/Financial industry Prior work to show on Github, Kaggle, StackOverflow etc.

About the Role: Grade Level (for internal use): 09 The Team: As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What Were Looking For: 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs

Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications. Evaluating and selecting the open source and/or commercial LLMs suitable for financial lending domains Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad