285 Xgboost Jobs - Page 7

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents. FairMoney thrives on its diverse workforce, bringing together talent from over 27 nationalities. This multicultural team drives the company's mission of reshaping financial services for underserved communities.To gain deeper insights into FairMoney's pivotal role in reshaping Africa's financial landscape, we invite you to watch informative video. Job Summary: Your mission is to develop data science-driven algorithms and applications to improve decisions in business processes like risk and debt collection, offering the best-tailored credit services to as many clients as possible. Requirements Strong background in Mathematics / Statistics / Econometrics / Computer science or related field 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain Being best friends with Python and SQL Hands-on experience in handling large volumes of tabular data Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to a specific business problem Feeling confident working with key Machine learning algorithms (GBM, XG-Boost, Random Forest, Logistic regression) Being at home building and deploying models around credit risk, debt collection, fraud, and growth . Track record of designing, executing and interpreting A/B tests in business environment . Strong focus on business impact and experience driving it end-to-end using data science applications . Strong communication skills Being passionate about all things data. Our tool stack Programming language: Python Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask) ML: Scikit-Learn, LightGBM, XGBoost, shap ETL: Python, Apache Airflow Cloud: AWS, GCP Database: MySQL DWH: BigQuery, Snowflake BI: Tableau, Metabase, dbt Streaming Applications: Flink, Kinesis Role and Responsibilities Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from company databases and external data sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions Assess the effectiveness and accuracy of new data sources and data gathering techniques Use predictive modelling to increase and optimize customer experiences, revenue generation, and other business outcomes Coordinate with different functional teams to make the best use of developed data science applications Develop processes and tools to monitor and analyze model performance and data quality Apply advanced statistical and data mining techniques in order to derive patterns from the data Own data science projects end-to-end and proactively drive improvements in both data Benefits Paid Time Off (25 days Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Training & Development budget Paid company business trips (not mandatory) Remote work Recruitment Process Screening call with Senior Recruiter Home Test assignment Technical interview Interview with the team and key stakeholders Show more Show less

Quantitative Analyst: Hillroute Capital About Hillroute: Hillroute Capital is a regulated quantitative hedge fund specializing in global digital asset trading. We leverage sophisticated quantitative methodologies and advanced technology to achieve exceptional risk-adjusted returns. Our transparent approach and diverse, experienced team allow us to excel in the rapidly evolving digital asset market. About the Role: We are seeking a highly skilled Quantitative Analyst to develop, test, and refine systematic trading models across global digital asset markets. This role offers flexibility in approach—candidates with expertise in systematic strategies, options trading, statistical arbitrage, backtesting, or machine learning are equally encouraged to apply. This role will be in the US shift. Key Responsibilities: Strategy Development & Backtesting: Design and rigorously backtest quantitative trading models, ensuring predictive reliability and strong risk management. Quantitative & Statistical Analysis: Apply advanced statistical modeling, econometric analysis, or financial mathematics to extract market insights. Risk Management: Contribute actively to robust risk management frameworks, identifying potential risks and implementing mitigation strategies. Innovation: Regularly generate and test new ideas and strategies, pushing boundaries to enhance fund performance. Preferred Qualifications: 3–5 years experience in quantitative analysis, trading, or research roles within finance. 1-3 years experience in running quantitative machine learning models. Advanced degree in quantitative disciplines (Mathematics, Physics, Statistics, Computer Science, Engineering). Strong Python programming skills (NumPy, Pandas), and familiarity with backtesting frameworks (Backtrader, QuantConnect). Solid knowledge in options pricing, volatility modeling, statistical arbitrage, or systematic strategies. Familiarity with financial data platforms (Bloomberg, Refinitiv, Quandl). Exposure to cloud computing environments (AWS, GCP, Azure). Experience or interest in applying machine learning techniques (XGBoost, TensorFlow, PyTorch) is a plus—but not mandatory. Participation in Kaggle or similar platforms is beneficial but not required. Key Performance Indicators (KPIs): Model profitability and risk-adjusted returns. Backtest reliability and accuracy. Effectiveness in risk management. Contribution to innovation and research quality. What We Offer: Competitive compensation and performance-based incentives. The opportunity to pioneer quantitative strategies in the dynamic digital asset industry. A collaborative, inclusive, and flexible working environment. Professional growth in an innovative, fast-paced hedge fund setting. If you're passionate about quantitative finance and thrive in a dynamic, data-driven environment, we invite you to join our team. Apply directly via LinkedIn: Hillroute Capital Show more Show less

Quantitative Analyst: Hillroute Capital About Hillroute: Hillroute Capital is a regulated quantitative hedge fund specializing in global digital asset trading. We leverage sophisticated quantitative methodologies and advanced technology to achieve exceptional risk-adjusted returns. Our transparent approach and diverse, experienced team allow us to excel in the rapidly evolving digital asset market. About the Role: We are seeking a highly skilled Quantitative Analyst to develop, test, and refine systematic trading models across global digital asset markets. This role offers flexibility in approach—candidates with expertise in systematic strategies, options trading, statistical arbitrage, backtesting, or machine learning are equally encouraged to apply. Key Responsibilities: Strategy Development & Backtesting: Design and rigorously backtest quantitative trading models, ensuring predictive reliability and strong risk management. Quantitative & Statistical Analysis: Apply advanced statistical modeling, econometric analysis, or financial mathematics to extract market insights. Risk Management: Contribute actively to robust risk management frameworks, identifying potential risks and implementing mitigation strategies. Innovation: Regularly generate and test new ideas and strategies, pushing boundaries to enhance fund performance. Preferred Qualifications: 3–5 years experience in quantitative analysis, trading, or research roles within finance. 1-3 years experience in running quantitative machine learning models. Advanced degree in quantitative disciplines (Mathematics, Physics, Statistics, Computer Science, Engineering). Strong Python programming skills (NumPy, Pandas), and familiarity with backtesting frameworks (Backtrader, QuantConnect). Solid knowledge in options pricing, volatility modeling, statistical arbitrage, or systematic strategies. Familiarity with financial data platforms (Bloomberg, Refinitiv, Quandl). Exposure to cloud computing environments (AWS, GCP, Azure). Experience or interest in applying machine learning techniques (XGBoost, TensorFlow, PyTorch) is a plus—but not mandatory. Participation in Kaggle or similar platforms is beneficial but not required. Key Performance Indicators (KPIs): Model profitability and risk-adjusted returns. Backtest reliability and accuracy. Effectiveness in risk management. Contribution to innovation and research quality. What We Offer: Competitive compensation and performance-based incentives. The opportunity to pioneer quantitative strategies in the dynamic digital asset industry. A collaborative, inclusive, and flexible working environment. Professional growth in an innovative, fast-paced hedge fund setting. If you're passionate about quantitative finance and thrive in a dynamic, data-driven environment, we invite you to join our team. Apply directly via LinkedIn: Hillroute Capital Show more Show less

We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team. You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery. What we're looking for: At least 3 years of experience in designing & building AI applications for customer and deploying them into production At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers. Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI. Design, develop, and operationalize existing ML models by fine tuning, personalizing it. Evaluate machine learning models and perform necessary tuning. Develop prompts that instruct LLM to generate relevant and accurate responses. Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation. Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance. Hands on customer experience with RAG solution or fine tuning of LLM model. Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools. Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment. Proven experience building and deploying machine learning models in production environments for real life applications Good understanding of natural language processing, computer vision or other deep learning techniques. Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain). Familiarity with Google Cloud or any other Cloud Platform and its machine learning services. Excellent communication, collaboration, and problem-solving skills. Good to Have Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent. Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure. Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows Experience with AutoML and vision techniques. Master’s degree in statistics, machine learning or related fields. Show more Show less

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% Data Scientists for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams. Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights. Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights. Own the full lifecycle of data science projects—from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring. Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models. Required Skills: Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling. Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure). Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen. Nice to Have: Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink). Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices. Contributions to open-source projects or published research. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You! Show more Show less

Job Title: AI/ML Developer (5 Years Experience) Location : Remote Job Type : Full-time Experience:5 Year Job Summary: We are looking for an experienced AI/ML Developer with at least 5 years of hands-on experience in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate should have strong knowledge of machine learning algorithms, data preprocessing, model evaluation, and experience with production-level ML pipelines. Key Responsibilities Model Development : Design, develop, train, and optimize machine learning and deep learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks. Data Engineering : Work with data scientists and engineers to preprocess, clean, and transform structured and unstructured datasets. ML Pipelines : Build and maintain scalable ML pipelines using tools such as MLflow, Kubeflow, Airflow, or SageMaker. Deployment : Deploy ML models into production using REST APIs, containers (Docker), or cloud services (AWS/GCP/Azure). Monitoring and Maintenance : Monitor model performance and implement retraining pipelines or drift detection techniques. Collaboration : Work cross-functionally with data scientists, software engineers, and product managers to integrate AI capabilities into applications. Research and Innovation : Stay current with the latest advancements in AI/ML and recommend new techniques or tools where applicable. Required Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 5 years of experience in AI/ML development. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM. Strong understanding of statistics, data structures, and ML/DL algorithms. Experience with cloud platforms (AWS/GCP/Azure) and deploying ML models in production. Experience with CI/CD tools and containerization (Docker, Kubernetes). Familiarity with SQL and NoSQL databases. Excellent problem-solving and communication skills. Preferred Qualifications Experience with NLP frameworks (e.g., Hugging Face Transformers, spaCy, NLTK). Knowledge of MLOps best practices and tools. Experience with version control systems like Git. Familiarity with big data technologies (Spark, Hadoop). Contributions to open-source AI/ML projects or publications in relevant fields. Show more Show less

Who we are Wayfair’s Advertising business is rapidly expanding, adding hundreds of millions of dollars in profits to Wayfair. We are building Sponsored Products, Display & Video Ad offerings that cater to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of customers. We are evolving our Ads Platform to empower advertisers across all sophistication levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the art Machine Learning techniques. The Advertising Optimization & Automation Science team is central to this effort. We leverage machine learning and generative AI to streamline campaign workflows, delivering impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions. We are looking for Machine Learning Scientists to join the Advertising Optimization & Automation Science team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair’s revenue. What you’ll do Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?) Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on. What you’ll need 3+ years of industry experience with a Bachelor/ Master’s degree or minimum of 1-2 years of industry experience with PhD in Computer Science, Mathematics, Statistics, or related field. Proficiency in Python or one other high-level programming language Solid hands-on expertise deploying machine learning solutions into production Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc. Strong written and verbal communication skills Intellectual curiosity and enthusiastic about continuous learning Nice to have Experience with Python machine learning ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Familiarity with GCP (or AWS, Azure), machine learning model development frameworks, machine learning orchestration tools (Airflow, Kubeflow or MLFlow) Experience in information retrieval, query/intent understanding, search ranking, recommender systems etc. Experience with deep learning frameworks like PyTorch, Tensorflow, etc. Show more Show less

• Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. • Technically lead a team of data scientists to produce project deliverables on time and with high quality. • Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. • Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. • Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. • Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. • Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. • Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. • Strong programming skills in Python. • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production. Show more Show less

Job Description Navtech is looking for a AI/ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions. Working as an AI/ML Engineer at Navtech, you will : Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks. Clean, preprocess, and analyze large datasets to extract meaningful insights and features. Work closely with data engineers to develop scalable and reliable data pipelines. Experiment with different algorithms and techniques to improve model performance. Monitor and maintain production ML models, including retraining and model drift detection. Collaborate with software engineers to integrate ML models into applications and services. Document processes, experiments, and decisions for reproducibility and transparency. Stay current with the latest research and trends in machine learning and AI. Who Are We Looking for Exactly ? 2- 4 years of hands-on experience in building and deploying ML models in real-world applications. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of ML concepts such as supervised and unsupervised learning, overfitting, regularization, etc. Experience working with Jupyter, pandas, NumPy, and visualization libraries like Matplotlib or Seaborn. Familiarity with version control (Git) and basic software engineering practices. You consistently demonstrate strong verbal and written communication skills as well as strong analytical and problem-solving abilities You should have a masters degree /Bachelors (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium. Well REALLY Love You If You Have knowledge of cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, etc.) Have knowledge of GenAI prompting and hosting of LLMs. Have experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK). Have familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc.). Have exposure to deep learning and neural network architectures. Have knowledge of REST APIs and how to serve ML models (e.g., Flask, FastAPI, Docker). Why Navtech? Performance review and Appraisal Twice a year. Competitive pay package with additional bonus & benefits. Work with US, UK & Europe based industry renowned clients for exponential technical growth. Medical Insurance cover for self & immediate family. Work with a culturally diverse team from different us : Navtech is a premier IT software and Services provider. Navtechs mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US & Hyderabad. Were a fast-growing company with clients in the United States, UK, and Europe. We are also a certified AWS partner. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030. (ref:hirist.tech) Show more Show less

Job Title : Consultant/Senior Consultant Location : Gurgaon Job Description : We are hiring consultant/senior consultant with expertise in SQL, Hive, Python, Tableau and good exposure to Machine Learning would be an advantage. Must be able to work independently with multiple stakeholders. For BI task, you will design, develop, and maintain excel and Tableau solutions, transforming raw data into actionable insights and work independently. Collaborate with stakeholders, write SQL queries, and utilize Hive and Python for data manipulation. Ensure data accuracy, provide technical support, and stay updated with the latest Tableau features. Strong problem-solving skills and attention to detail required. Prior experience with Payments and fraud domain is preferred. Responsibilities Collaborate with stakeholders to understand their data requirements and translate them into Tableau dashboards and reports. Conduct adhoc analysis basis the business trends and recommend the next action items Develop and maintain Tableau visualizations, interactive dashboards, and reports to provide actionable insights to business users. Design and optimize data models and data structures to support efficient data retrieval and analysis. Write complex SQL queries to extract, transform, and load data from various data sources into Tableau. Utilize Hive and Python for data manipulation, transformation, and automation tasks. Conduct thorough testing and debugging of Tableau solutions to ensure data accuracy and dashboard performance. Stay updated with the latest Tableau features, techniques, and best practices, and apply them to enhance existing reports and dashboards. Collaborate with data engineers and data scientists to ensure seamless integration and alignment of Tableau solutions with the overall data ecosystem. Requirements Tableau Developer Strong Proficiency in SQL, Hive Prior experience in SQL for data extraction, manipulation, and analysis. Proficiency in Python Understanding of Big Data Ecosystem Strong problem-solving and attention to detail Payments and Fraud prior experience good to have Added advantage to those with understanding of Machine Learning algorithms in classification such as random forest, XGBoost etc Show more Show less

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accenture's clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualifications Who we are looking for? 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements: Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills.

Hiring Alert: Senior Data Scientist! 📢 We're seeking a Senior Data Scientist (5-8 years experience) to join our Analytics & AI team in Noida (Sector 62) or Kolkata (New Town) . If you're a results-driven professional with strong machine learning expertise and a passion for solving real-world problems, this is for you! What you'll do: Design, deploy, and optimize ML models. Analyze complex datasets for actionable insights. Collaborate with cross-functional teams to drive data-driven strategies. Stay current with ML trends and present findings. Skills: Proficiency in Python (preferred) or R, with libraries like scikit-learn, XGBoost, TensorFlow, PyTorch . Strong understanding of supervised, unsupervised, and reinforcement learning. This role involves rotational shifts . Ready to make an impact? Share your resume with us at trishita.mistry@empaxis.com #DataScientist #MachineLearning #Python #XGBoost #TensorFlow #PyTorch #NoidaJobs #KolkataJobs #Hiring #JobOpportunity #TechJobs #AI Show more Show less

Job Information Date Opened 05/28/2025 Job Type Full time Industry Technology State/Province Karnataka/West Bengal Zip/Postal Code 700091/500083 City Kolkata/Bangalore Country India About Us At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises. Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises. Job Description About the Role Seeking a Senior Data Scientist who is equally comfortable building predictive models and architecting intelligent systems with Generative AI. This role is ideal for someone who thrives on solving complex business problems with the power of data, machine learning, and cutting-edge AI techniques — including large language models (LLMs), RAG pipelines, and prompt engineering. You’ll be at the forefront of innovation, driving the design and deployment of scalable AI solutions that power intelligent products, enhance automation, and enable smarter decision-making across the organization. Key Responsibilities Generative AI & LLMs Fine-tune and apply large language models (LLMs) for summarization, classification, generation, and dialogue use cases. Design and implement retrieval-augmented generation (RAG) pipelines using vector databases. Develop intelligent agents, agentic workflows and chat-based interfaces that translate natural language into actions or insights. Build multi-agent orchestration frameworks using tools such as LangGraph, AutoGen, or similar for enterprise-grade use cases. Create reusable prompt templates and evaluation strategies to ensure output quality and relevance. Machine Learning & Predictive Analytics Develop robust ML models for classification, regression, clustering, and time-series forecasting. Apply advanced feature engineering, model evaluation, and explainability techniques. Collaborate with stakeholders to define data-driven solutions aligned with business KPIs. Deployment & MLOps Lead the full model lifecycle from experimentation to deployment preferably using Azure, Databricks, or equivalent platforms. Monitor model performance, automate retraining, and ensure reliability through MLOps best practices. Data Strategy & Collaboration Work with data engineers to transform raw data into ML-ready datasets. Collaborate cross-functionally with product managers, developers, and business teams to turn use cases into scalable AI solutions. Mentor junior team members and contribute to AI/ML best practices across the org. Required Skills & Qualifications 4+ years of experience in data science or machine learning roles. Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, or a related field. Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning) Hands-on experience with Gen AI-related tech stack, including Azure cognitive search, Langchain, HuggingFace, vector DBs and agent frameworks like Autogen. Experience in fine-tuning open-source models like Llama etc. is a bonus. Strong programming skills in advanced python, with experience in SQL and cloud-based data platforms (Azure preferred). Understanding of model governance, versioning, monitoring, and evaluation. Ability to translate business problems into analytical frameworks and actionable models. Strong problem-solving mindset and ability to work in ambiguous, fast-paced environments. Strong storytelling and stakeholder communication skills.

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :Noida/Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Job Opening: Data Science/AI Specialist – BFSI/Life Insurance (Mumbai) We are looking for a Data Science/AI Specialist with a strong background in the BFSI/Life Insurance industry to join our team in Mumbai . If you have a passion for machine learning, advanced analytics, and cloud technologies, we’d love to hear from you! Position Details Experience: Minimum 7 years Industry: BFSI or Life Insurance (Mandatory) Job Location: Mumbai Notice Period: Maximum 45 days Budget: Up to 18 lacs (hike can be offered 20-25% based on current CTC) Key Responsibilities & Requirements Industry Knowledge: At least 1-2 years of experience in BFSI/Life Insurance Technical Skills: Hands-on experience with SQL, Python, and Databricks Machine Learning Expertise: Strong knowledge of ML algorithms like XGBoost, Neural Networks, and Random Forests, along with a deep understanding of gradient descent techniques GenAI & LLMs (Optional): Experience in analyzing unstructured data and building Unsupervised Learning: Proficiency in clustering, segmentation, and cohort creation Cloud & MLOps: Experience working with cloud platforms (preferably AWS) and deploying ML models with MLOps practices Anomaly Detection: Ability to detect rare events, including fraud detection, using machine learning This role is ideal for individuals eager to leverage AI and ML solutions to drive business insights and risk analysis in the BFSI sector. Interested? Know someone who’d be a great fit? Apply now or reach out for more details! #DataScience #AI #MachineLearning #Hiring #MumbaiJobs #BFSI #MLOps #AWS #Python #Databricks Interested candidates please share the CV at astha@hr-central.org Show more Show less

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Salary : 25 to 40 LPA Exp: 5 to 8 years Location :Mumbai Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Job Designation - Full Stack Data Engineer - AI/ML Location - Mundhwa, Pune Years of experience - 5 years Key Responsibilities: · Model Development & Deployment: Develop and deploy ML/DL models for predictive maintenance, anomaly detection, forecasting (e.g., energy production, equipment failure), and performance optimization of renewable assets. · Advanced Analytics: Perform exploratory data analysis (EDA), hypothesis testing, and statistical modeling to identify trends, patterns, and correlations in large datasets. · Collaboration with Engineers: Work closely with data engineers to design and validate data pipelines that feed ML models and analytics dashboards. · Feature Engineering: Engineer meaningful features from sensor and operational data, integrating diverse data sources such as IoT, weather, and operational logs. · Model Monitoring & Optimization: Monitor model performance post-deployment and implement continuous learning and model retraining pipelines (MLOps). · Business Understanding: Translate business objectives into analytical solutions and communicate findings effectively with both technical and non-technical stakeholders. · Tooling & Automation: Use platforms like MLflow, Airflow, and containerization tools (Docker/Kubernetes) to automate ML workflows. · Visualization & Reporting: Create dashboards and visualizations using PowerBI, Tableau, or open-source tools to present insights and model outputs to business users. Required Skills and Qualifications: · Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field. · Experience: 5+ years of experience in data science roles with a strong portfolio of delivered projects, ideally in the energy, manufacturing, industrial IoT, or sustainability domains. · Technical Proficiency: · Programming: Python (must), Pyspark, R (optional) · Libraries/Frameworks: scikit-learn, XGBoost, TensorFlow/PyTorch, pandas, NumPy, MLflow,NLP, LLMs like BERT, GPT, T5, Mllib, FastAPI / Flask · Big Data Tools: PySpark, Apache Spark · Databases: PostgreSQL, Dynamo, MS SQL, NoSQL (MongoDB, Cassandra) · Cloud Platforms: AWS (preferred), Azure or GCP · Orchestration: Apache Airflow, AWS Step Functions, Lambda · Version Control: Git Show more Show less

Key Responsibilities Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction about analytics Organize and analyze large, diverse data sets across multiple platforms Identify key insights and leverage them to inform and influence product strategy Technical Interactions with vendors or partners in technical capacity for scope/ approach & deliverables. Develops proof of concept to prove or disprove validity of concept Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficient reporting on those requirements Designing and implementing advanced statistical testing for customized problem solving Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations Job Requirements MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field 6 + Years’ experience in analytical domain Excellent analytics, logical, problem solving and numerical skills Experience in using Python Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.) Keen aptitude for large-scale data analysis with a passion for identifying key insights from data Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc., Expertise in Data Mining, Statistical Analysis, Regression, Logistics Regression, Segmentation, Time Series Forecasting, Market Basket Analysis, Decision Tree, CHAID, Test Mining, Hypothesis Testing, A/B Testing and Modeling Show more Show less

Role Description: Principal Machine Learning Scientist(IC) – AdTech About the Team: Nykaa’s AdTech Data Science team is at the forefront of building intelligent, ML-powered advertising products including Sponsored Products, Display Ads, and Creative Personalization. We aim to serve highly relevant, personalized ads to millions of users while maximizing advertiser success through scalable, automated systems. In this Principal IC role, you will be a hands-on technical leader—driving the development of foundational ML models and systems that fuel our ad platform. You’ll work closely with product, engineering, and business teams to define and solve high-impact problems in advertising science. What Are We Looking For? Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Statistics, or a related technical field from a reputable institution. Experience: 10+ years of experience building production-grade ML systems, with 5+ years specifically in AdTech, performance marketing, or large-scale recommender systems. Proven track record of delivering impactful ML innovations as a senior individual contributor, from ideation to deployment. Deep expertise in one or more of the following domains: CTR/CVR prediction , bidding dynamics , bid/budget optimization Multi-objective learning , campaign automation , target ROAS modeling Generative AI for creative optimization , personalization , or agentic workflows Technical Skills: Advanced understanding of ML algorithms , reinforcement learning , Bayesian optimization , multi-armed bandits , and game theory as applied to digital advertising. Fluency in Python and ML frameworks like PyTorch , TensorFlow , XGBoost , and libraries like LightGBM , Scikit-learn . Expertise in large-scale data processing with PySpark , SQL etc. . . Experience with real-time inference, latency-sensitive model serving, and model monitoring in production environments. Strong command of A/B testing design , incrementality measurement , and online experimentation in AdTech systems. Soft Skills: Passion for solving ambiguous, complex problems with scientific rigor and business impact. Deep ownership mentality and the ability to independently scope and drive projects end-to-end. Clear, concise communication of complex technical concepts to cross-functional stakeholders. Collaborative mindset with a track record of influencing product direction through technical thought leadership. Responsibilities: ML Development & Deployment: Design and develop cutting-edge models for predicting ad outcomes , bidding decisions , budget pacing , and SKU/ad selection . Build intelligent automation systems for campaign management that adapt in real-time to advertiser and platform feedback. Develop generative models to optimize ad creatives and improve user engagement across formats. System Architecture & Optimization: Own the architecture of core components like model pipelines, simulation frameworks, and personalization layers within the ad platform. Drive research into long-term value modeling , multi-touch attribution , and campaign lifecycle optimization . Cross-Functional Impact: Collaborate with Product and Engineering to design features that are ML-first and measurable. Act as the primary technical stakeholder for experimentation, metrics design, and long-term roadmap planning. Thought Leadership & Innovation: Explore and prototype novel approaches using Reinforcement Learning , RLHF , contrastive learning , or LLMs for advertiser assistance or campaign agents. Publish internal whitepapers or contribute to external publications and IP generation when applicable. Why Join Nykaa AdTech? Be a key technical architect behind Nykaa’s growing AdTech ecosystem. Work on cutting-edge problems that intersect ML, economics, personalization, and creative optimization. Shape the future of advertising in India’s leading beauty and lifestyle platform—with a strong focus on user delight and advertiser success. Show more Show less

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunit yJoin our network as a Machine Learning Engineer and help startups build intelligent systems that learn from data and drive business outcomes. You'll work on real-world use cases across recommendation engines, predictive analytics, personalization, and generative AI—contributing to models that power scalable products . Role Overvi ewAs a Machine Learning Engineer, you wil l:Design, develop, and deploy machine learning models tailored to specific business nee dsBuild end-to-end ML pipelines from data preprocessing to inferen ceCollaborate with cross-functional teams to integrate models into production syste ms What You’ll DoTrain and evaluate models using frameworks like scikit-learn, XGBoost, PyTorch, or TensorF lowHandle data wrangling, feature engineering, and model optimizat ionSet up automated ML workflows and performance monitor ingDeploy models using APIs, cloud services, or containerized environme ntsContinuously improve accuracy, scalability, and runtime efficie ncy Technical Requirem ents3+ years of experience in ML engineering or applied data sci enceProficient in Python and ML frameworks such as scikit-learn, TensorFlow, or PyT orchExperience working with structured, unstructured, or time-series dataFamiliarity with cloud platforms (AWS, GCP, Azure) and model deployment t oolsBonus: experience with MLOps tools like MLflow, Airflow, or Kube flow What We’re Lookin g ForA problem-solving engineer who knows how to translate data into insights and ac tionsA freelancer who can own ML components end-to-end and communicate clearly with stakeho ldersSomeone who thrives in agile, product-focused startup environ ments Why J oin UsBuild ML solutions that make a real impact on products and usersFully remote and flexible freelance opportu nitiesGet matched with future ML roles across a range of industries and use casesJoin a forward-looking network shaping the future of applied machine le arning Ready to turn data into intelligent action? Apply now to become a Machine Learning Engineer with BeGig. Show more Show less

Position: Tech Lead / Software Architect Location: Mumbai Experience: 3-5 years Type: Full-Time About Us We’re a med-tech innovation company transforming healthcare workflows with real-time diagnostic platforms built on custom hardware and intelligent software. Our stack integrates Python, Flask, PyQt, Chromium interfaces, and USB-driven embedded systems to capture and process clinical data at the point of care. We are now expanding into AI-powered services — from computer vision and ML-based analytics to LLM-driven interfaces — all working in harmony with our core platform. Role Overview As Tech Lead / Software Architect , you will be the cornerstone of our software architecture. You will lead the core team that develops and maintains the software platform, while also orchestrating the seamless integration of AI, ML, and CV modules developed by a specialized team. You’ll ensure the system remains scalable, real-time, and production-ready, supporting complex patient interactions and medical workflows. Key Responsibilities ● Lead the architectural design and codebase modernization of our real-time healthcare platform. ● Guide integration of Python + Flask APIs, PyQt GUIs, Chromium-based web frontends, and USB device data streams. ● Collaborate with ML/CV/LLM teams to embed intelligence layers , such as: o CV models for image analysis from embedded devices o ML-based analytics for health data scoring and risk flags o LLM-driven Retrieval-Augmented Generation (RAG) services for clinician support ● Build and maintain core algorithms for signal processing, feature extraction, and health data visualization. ● Oversee internal and external contributors, ensuring modular, testable, and high-performance code. ● Conduct code reviews, maintain CI/CD practices, and uphold quality, security, and compliance standards. ● Support DevOps engineers in deployment planning, updates, and monitoring in multi-OS environments. Required Skills & Experience ● 3-5+ years of experience in software architecture and backend engineering (Python). ● Strong knowledge of Flask, PyQt (or PySide), and USB communication protocols. ● Experience integrating third-party AI/ML/CV services into Python-based applications. ● Familiarity with REST APIs, WebSockets , and hybrid UI architectures (Chromium, QtWebEngine, or Electron). ● Solid grasp of performance tuning, profiling, threading, and debugging in real-time systems. ● Demonstrated ability to lead multidisciplinary teams and own technical decisions. ● Hands-on understanding of ML libraries (e.g., scikit-learn, XGBoost), image processing (OpenCV), or Hugging Face-based LLMs. ● Familiarity with compliance workflows (CE/FDA/HIPAA) and software validation in med-tech. What We Offer ● Lead role in shaping the architecture of a real-world healthtech product. ● Opportunity to integrate frontier technologies (LLM, RAG, ML, CV) into a production platform. ● Transparent and collaborative culture. ● Career track leading to CTO/Principal Engineer roles. Show more Show less

Company Description Ubisoft is a leading developer and publisher of video games worldwide whose brand portfolio covers blockbusters such as Assassin’s Creed, Watch Dogs, The Division, Prince of Persia and Splinter Cell, Ghost Recon, Rainbow Six, Rayman, Just Dance as well as games for the whole family, from Imagine and Petz to Raving Rabbids. To continue building on its achievements for the future, Ubisoft is looking for new talent for its growing Indian studio in Pune! We favour diversity, creativity, drive and team spirit. If you have got the skills and the desire to succeed, we want you to be a part of this exciting period of growth. Job Description Job Title: - Senior R&D Engineer Note**: Final Designation/Level will be decided based on the relevant experience Job Summary: UBISOFT is seeking for R&D Engineer having proficiency in Artificial Intelligence, Machine Learning and Computer Vision. As an R&D Engineer, you will be required to research and develop solutions to solve problems around Game Production and Testing processes, develop tools capable of solving complex problems and produce accurate output to be consumed by the various stakeholders, work in close collaboration with Production, QC and R&D teams in other Ubisoft studios world wide. Job Description Research on AI, ML and Computer Vision topics and build prototype on identified areas Convert the POCs into usable Product Suggesting cutting edge solution to solve AI related problems Developing state of the art and robust Automation Framework in game testing Working closely with Production team, Developers, Tools Group and Test teams to understand game architecture, game play and thereby develop automation solution for speedy and quality delivery of games Preparing presentation and reports for cross studio communication Identify and implement areas for continuous process improvement Identify areas and format of data collection for analytics and build analytics system Implement best practices of data management Developing robust Automation ranging from simple to complex scenarios Develop tools and applications to enhance productivity in game testing life cycle Contribute in knowledge sharing, brain storming, and other initiatives of prototype development and innovation Required Skills Having overall 6+ years of strong conceptual understanding and hands on coding expertise Strong foundation in Deep Learning, including Neural Networks, Convolutional Neural Networks (CNNs), and Reinforcement Learning; experience with academic or industry publications in neural network learning along with below skills : Proficient in Python Hands on experience in C++ / C# AI, ML and hands on work on ML model, knowledge of computer vision, CNN. Strong knowledge of CI/CD using tools like Jenkins, TeamCity etc Knowledge of Versioning/source-code-control system. Knowledge of Database technology – SQL, NOSQL Implementation knowledge of ML algorithm Working knowledge of Generative AI models and architecture (esp OpenAI on Azure) Good understanding of Software Development and Testing lifecycle processes Strong debugging and troubleshooting abilities. Good Code review knowledge and how code repositories work. such as GitFlo etc. Working knowledge and proficient in Computer Vision Ability to develop state of the art and robust Automation Framework in game testing will be added advantage Solid programming skills and problem solving Ability to analyze and build solution by referring white papers Working knowledge of Tensorflow, Scikit or related libraries Working knowledge of Data Science concepts like Data Mining, Statistics, Application of ML and adding intelligence to data Hands on implementation of Machine Learning techniques and algorithms like Regression, Decision Trees, K-means, Markov Decision process, GBM, XGBoost etc. Strong debugging and troubleshooting abilities Knowledge of Versioning/source-code-control system. Good verbal and communication skills Be flexible in organizing the work as per the requirements Well organized and autonomous Ability to work individually on a project or in a team environment Open for feedback and enjoys working in a fast paced, constantly iterating environment. Highly motivated and quick learner Qualification: Bachelors/ Master’s Degree in Computer Science or Information Technology Good to have specialization in Statistics / Mathematics / Machine Learning / Artificial Intelligence. Added Advantage Experience in gaming industry is an added advantage Show more Show less

Proficiency in machine learning, AI, and statistical modeling techniques, with a strong track record of developing and deploying successful predictive models in a business setting. Strong proficiency in Python and SQL and experience with data science libraries and tools such as: Spark, scikit-learn, XGBoost, LightGBM etc. Proficiency in Neural Networks is an added advantage. Familiarity with standard software engineering practices and tools including object-oriented programming, test-driven development, CI/CD, git, task orchestration (Airflow) and AWS tooling. Strong understanding of credit risk management, lending practices, and regulatory requirements within the financial industry. Good communication and presentation skills. Show more Show less

Job Summary: We are seeking a highly skilled and experienced Data Scientist with a deep understanding of data analytics powered by artificial intelligence (AI) tools. The ideal candidate will be passionate about turning data into actionable insights using cutting-edge AI platforms, automation techniques, and advanced statistical methods. Key Responsibilities: Develop and deploy scalable AI-powered data analytics solutions for business intelligence, forecasting, and optimization. Leverage AI tools to automate data cleansing, feature engineering, model building, and visualization. Design and conduct advanced statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.). Collaborate cross-functionally with engineering and business teams to drive data-first decision-making. Must-Have Skills & Qualifications: Minimum 4 years of professional experience in data science, analytics, or a related field. Proficiency in Python and/or R with strong hands-on experience in ML libraries (scikit-learn, XGBoost, TensorFlow, etc.). Expert knowledge of SQL and working with relational databases. Proven experience with data wrangling, data pipelines, and ETL processes. Deep Understanding of AI Tools for Data Analytics (Experience with several of the following is required): Data Preparation & Automation: Alteryx, Trifacta, KNIME AI/ML Platforms: DataRobot, H2O.ai, Amazon SageMaker, Azure ML Studio, Google Vertex AI Visualization & BI: Tableau, Power BI, Looker (with AI/ML integrations) AutoML & Predictive Modeling: Google AutoML, IBM Watson Studio, BigML NLP & Text Analytics: OpenAI (ChatGPT, Codex APIs), Hugging Face Transformers, MonkeyLearn Workflow Orchestration: Apache Airflow, Prefect Preferred Qualifications: Degree in Computer Science, Data Science, Statistics, or related field. Experience in cloud-based environments (AWS, GCP, Azure) for ML workloads. To apply, please send your resume to sooraj@superpe.in or shreya@superpe.in SuperPe is an equal opportunity employer and welcomes candidates of all backgrounds to apply. We look forward to hearing from you! Show more Show less