648 Xgboost Jobs - Page 15

Job Summary We are seeking a Data Scientist to join our team to analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions. Key Responsibilities Data Analysis & Exploration Perform comprehensive exploratory data analysis (EDA) on large datasets. Identify patterns, trends, and anomalies in data. Conduct statistical analysis to validate business hypotheses. Create data visualizations to communicate findings effectively. Assess and ensure data quality and integrity. Write complex SQL queries to extract and manipulate data Machine Learning & Modeling Design and develop machine learning models for business problems like (XG Boost, Logistic Regression, DNN, RNN etc) Implement supervised and unsupervised learning algorithms Perform feature engineering and selection Evaluate model performance using appropriate metrics Deploy and monitor machine learning models in production Programming & Development Develop data analysis scripts and automation tools using Python Build data pipelines and ETL processes Create reusable code libraries and functions Maintain version control and documentation standards Required Qualifications Technical Skills SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization Python: Strong programming skills in Python for data analysis and machine learning Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design Knowledge of any cloud like AWS, GCP or Azure is good to have Must have experience working on ML Algorithm’s including - Random Forest, XGBoost and Neural networks. Familiarity with version control systems Experience with containerization and deployment tools Good to Have:- Worked on GenAI based Projects Using GenAI for driving productivity in your work. Knowledge of PySpark is a plus Must have Frameworks: Scikit Learn Any 1 of these 3 is a requirement. Pytorch/Keras/ TensorFlow

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description About the Team The Finance Analytics & Insights (FA&I) team is transforming how Finance operates by embedding AI/ML into the core of our decision-making processes. We are building intelligent, scalable data products that power use cases across forecasting, anomaly detection, case summarization, and agentic automation. Our global team includes data product managers, analysts, and engineers who are passionate about delivering measurable business value. Role Overview We are seeking a highly motivated and analytically strong ML Engineer to join our India-based team. This role will support the development and scaling of AI/ML-powered data products that drive strategic insights across Finance. As an IC3-level individual contributor, you will work closely with the Data Product Manager and Insights Analyst to build AI/ML solutions that deliver measurable business value. 🔍 Key Responsibilities Design, build, and deploy machine learning models that support use cases such as: Forecasting Anomaly detection Case summarization Agentic AI assistants Partner with the Insights Analyst to perform feature engineering, exploratory data analysis, and hypothesis testing Build and iterate on proof-of-concepts (POCs) to validate model design and demonstrate business value Collaborate with the Data Product Manager to align model development with product strategy and business outcomes Own and manage the Databricks instance for the FA&I team—partnering with the DT Data & Analytics team to define a roadmap of capabilities, test and validate new features, and ensure the platform supports scalable ML development and deployment Ensure models are production-ready, scalable, and maintainable—working closely with DT and D&A teams to integrate into enterprise platforms Monitor model performance, implement feedback loops, and retrain models as needed Contribute to agile product development processes including sprint planning, backlog grooming, and user story creation Qualifications 🧠 Required Skills & Experience 3–5 years of experience in machine learning engineering, data science, or applied AI roles Strong proficiency in Python and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Solid understanding of feature engineering, model evaluation, and MLOps practices Experience working with large datasets using SQL and Snowflake Familiarity with Databricks for model development and orchestration Experience with CI/CD pipelines, version control (Git), and ML workflow tools Ability to translate business problems into ML solutions and communicate technical concepts to non-technical stakeholders Experience working in agile teams and collaborating with product managers, analysts, and engineers ⭐ Preferred Qualifications Experience working in or supporting Finance or Accounting teams Prior experience deploying models in production environments and integrating with enterprise systems Familiarity with GenAI, prompt engineering, or LLM-based applications is a plus Experience with MLflow, Azure ML, or similar platforms Comfort with async collaboration tools and practices, including Teams, recorded video demos, and documentation-first communication Experience working in a global, cross-functional environment with stakeholders across time zones 💡 Key Behaviors & Mindsets Builder’s Mentality: You love turning ideas into working models and iterating quickly to improve them. Collaborative Engineer: You work closely with analysts and product managers to co-create solutions that solve real business problems. Customer-Centric: You care deeply about the end user and build models that are interpretable, actionable, and aligned with business needs. Bias for Action: You move fast, test often, and focus on delivering value—not just code. Global Mindset: You thrive in a distributed team and proactively align to US morning hours (PST overlap) to keep momentum across geographies. Async-First Communicator: You’re comfortable working in a hybrid async environment—leveraging Teams, recorded demos, and documentation to keep work moving forward. Growth-Oriented: You’re always learning—whether it’s a new algorithm, tool, or business domain—and you help others grow too. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

We're seeking a Mid-Level Machine Learning Engineer to join our growing Data Science & Engineering team. In this role, you will design, develop, and deploy ML models that power our cutting-edge technologies like voice ordering, prediction algorithms and customer-facing analytics. You'll collaborate closely with data engineers, backend engineers, and product managers to take models from prototyping through to production, continuously improving accuracy, scalability, and maintainability. Essential Job Functions Model Development: Design and build next-generation ML models using advanced tools like PyTorch, Gemini, and Amazon SageMaker - primarily on Google Cloud or AWS platforms Feature Engineering: Build robust feature pipelines; extract, clean, and transform largescale transactional and behavioral data. Engineer features like time- based attributes, aggregated order metrics, categorical encodings (LabelEncoder, frequency encoding) Experimentation & Evaluation: Define metrics, run A/B tests, conduct cross-validation, and analyze model performance to guide iterative improvements. Train and tune regression models (XGBoost, LightGBM, scikit-learn, TensorFlow/Keras) to minimize MAE/RMSE and maximize R² Own the entire modeling lifecycle end-to-end, including feature creation, model development, testing, experimentation, monitoring, explainability, and model maintenance Monitoring & Maintenance: Implement logging, monitoring, and alerting for model drift and data-quality issues; schedule retraining workflows Collaboration & Mentorship: Collaborate closely with data science, engineering, and product teams to define, explore, and implement solutions to open-ended problems that advance the capabilities and applications of Checkmate, mentor junior engineers on best practices in ML engineering Documentation & Communication: Produce clear documentation of model architecture, data schemas, and operational procedures; present findings to technical and non-technical stakeholders Requirements Academics: Bachelors/Master's degree in Computer Science, Engineering, Statistics, or related field Experience: 5+ years of industry experience (or 1+ year post-PhD). Building and deploying advanced machine learning models that drive business impact Proven experience shipping production-grade ML models and optimization systems, including expertise in experimentation and evaluation techniques. Hands-on experience building and maintaining scalable backend systems and ML inference pipelines for real-time or batch prediction Programming & Tools: Proficient in Python and libraries such as pandas, NumPy, scikit-learn; familiarity with TensorFlow or PyTorch. Hands-on with at least one cloud ML platform (AWS SageMaker, Google Vertex AI, or Azure ML). Data Engineering: Hands-on experience with SQL and NoSQL databases; comfortable working with Spark or similar distributed frameworks. Strong foundation in statistics, probability, and ML algorithms like XGBoost/LightGBM; ability to interpret model outputs and optimize for business metrics. Experience with categorical encoding strategies and feature selection. Solid understanding of regression metrics (MAE, RMSE, R²) and hyperparameter tuning. Cloud & DevOps: Proven skills deploying ML solutions in AWS, GCP, or Azure; knowledge of Docker, Kubernetes, and CI/CD pipelines Collaboration: Excellent communication skills; ability to translate complex technical concepts into clear, actionable insights Working Terms: Candidates must be flexible and work during US hours at least until 6 p.m. ET in the USA, which is essential for this role & must also have their own system/work setup for remote work

Lead Assistant Manager EXL/LAM/1357080 ServicesGurgaon Posted On 14 May 2025 End Date 28 Jun 2025 Required Experience 2 - 4 Years Basic Section Number Of Positions 1 Band B2 Band Name Lead Assistant Manager Cost Code D011116 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 1400000.0000 - 2000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Banking & Financial Services Organization Services LOB Services SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38-B Skills Skill SQL TABLEAU Minimum Qualification B TECH Certification No data available Job Description 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 Workflow Workflow Type L&S-DA-Consulting

Manager EXL/M/1364660 ServicesGurgaon Posted On 27 May 2025 End Date 11 Jul 2025 Required Experience 4 - 8 Years Basic Section Number Of Positions 5 Band C1 Band Name Manager Cost Code D010938 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 20.0000 - 30.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Analytics Sub Group Banking & Financial Services Organization Services LOB Services SBU Analytics Country India City Gurgaon Center EXL - Gurgaon Center 38 Skills Skill RISK ANALYTICS PYTHON SQL PYSPARK CREDIT CARDS STRATEGY Minimum Qualification B.TECH/B.E Certification No data available Job Description Responsibilities : Work in the capacity of Individual contributor in the project. Take lead in executing complex tasks and engage with the client to develop an understanding of needs and deliverables. Identify relevant data sources and sets to mine for client business needs. Analyze data for trends and patterns, and interpret data with a clear objective in mind. Research and devise innovative statistical/machine learning models for data analysis. Communicate analytic solutions to senior stakeholders. Candidate Profile: 4– 9 years of experience in data science position (preferably in Banking and Financial Services). Master's degree in economics, mathematics, engineering, computer science, operations research or related areas is preferred; candidates with BA/BS degrees from the top tier academic institutions are also welcome to apply.Experience in programming in Python, SQL and/or SAS. Understanding of basic statistical techniques like t-tests, chi-square tests, hypothesis testing, regression analysis, etc.Excellent understanding of machine learning techniques and algorithms, such as Classification, Clustering,Random Forest, XGBoost,GBM, Neural Networks, Keras. Industry experience related to data science will be preferred over academic/online projects or courses. Good communication and presentation skills. Excellent problem-solving skills. Workflow Workflow Type L&S-DA-Consulting

ONLY IMMEDIATE JOINERS: Role & responsibilities Design, train, and deliver data science solutions using all modalities (tabular, text, image) Working hands on advanced analytics projects using python Mentor and work with a team of data scientists and data engineer to build advanced analytical solutions for clients Analyse experimental results, iterate, and refine models to create significant business impact Understanding and formulating the business problem into analytics framework Managing stakeholders, and communicating insights to business and technical teams Preferred candidate profile Mandatory: Time Series Forecasting, Demand Forecasting, Python, Pricing Analytics Customer and Marketing Analytics Pricing and Promotion Analytics Supply Chain Analytics Demand Forecasting / Production Planning / Procurement / Inventory Planning / Logistics Digital Analytics Predictive Maintenance / Predictive Quality In-depth understanding of various machine learning algorithms Ability to write robust codes in Python and familiarity with standard machine learning libraries is a plus Excellent communication and interpersonal skills to interact with internal and external stakeholders Good team player, self-motivated, able to ideate and work on various initiatives Perks and benefits

Title: Senior Machine Learning Engineer Location: Gurgaon, IN Type: (Hybrid, In-Office) Job Description Who We Are: Fareportal is a travel technology company powering a next-generation travel concierge service. Utilizing its innovative technology and company owned and operated global contact centres, Fareportal has built strong industry partnerships providing customers access to over 500 airlines, a million lodgings, and hundreds of car rental companies around the globe. With a portfolio of consumer travel brands including CheapOair and OneTravel, Fareportal enables consumers to book-online, on mobile apps for iOS and Android, by phone, or live chat. Fareportal provides its airline partners with access to a broad customer base that books high-yielding international travel and add-on ancillaries. HIGHLIGHTS : Fareportal is the number 1 privately held online travel company in flight volume. Fareportal partners with over 500 airlines, 1 million lodgings, and hundreds of car rental companies worldwide. 2019 annual sales exceeded $5 billion. Fareportal sees over 150 million unique visitors annually to our desktop and mobile sites. Fareportal, with its global workforce of over 2,600 employees, is strategically positioned with 9 offices in 6 countries and headquartered in New York City. What We Do Our Machine Learning team is at the forefront of developing state-of-the-art models and solutions that drive key business decisions, improve customer experiences, and streamline operations. We work on diverse projects, from personalized recommendations and predictive modelling to call analytics and business forecasting, using cutting-edge technology and data-driven insights. Our department is unique in its end-to-end approach to problem-solving, focusing on innovation, collaboration, and impactful results. As a Senior Machine Learning Engineer, you will play a crucial role in the complete lifecycle of our Machine Learning projects. You will: - Engage with stakeholders to gather and refine requirements. - Perform exploratory data analysis (EDA) and manipulate data using SQL and NoSQL databases. - Engineer and select features, ensuring optimal model performance. - Train, test, and fine-tune models using advanced algorithms and methodologies. - Deploy models into production environments using frameworks like Docker, Kubernetes, and Rest APIs. - Monitor and evaluate model performance, including A/B testing and continuous improvement. - Collaborate with cross-functional teams, ensuring seamless integration and communication throughout the project lifecycle. In this Role You Will Get To - Work within a dynamic and talented team of engineers and data scientists to build scalable Machine Learning solutions that impact thousands of users daily. - Develop, deploy, and maintain Machine Learning models that address complex business challenges and enhance customer engagement. - Participate in brainstorming sessions, technical design discussions, and collaborate with product managers, data engineers, and other stakeholders to ensure alignment and success. - Explore and implement new technologies, including cloud-based (AWS, Azure) and on-prem systems, to optimize and enhance ML model performance. - Conduct rigorous testing and monitoring to ensure the reliability and accuracy of models. Who You Are Must-Haves: - Strong communication skills, capable of translating technical concepts into actionable business insights. - Proven experience (2-4 years) as a Data Scientist, Machine Learning Engineer, or in a similar role. - Proficient in SQL querying for data extraction and manipulation. - Experience with high volume structured data, including data manipulation, exploratory data analysis (EDA), and data modelling. - Strong proficiency in Python programming and familiarity with Rest API frameworks for seamless model integration. - Demonstrated ability to build and deploy at least 3-5 ML models in production environments. - Hands-on experience with Regression, Classification, Recommendation algorithms, and Neural Networks. - Expertise in relevant ML libraries such as CatBoost, XGBoost, LightGBM, Scikit-learn, TensorFlow, and PyTorch. - Knowledge of containerization technologies (e.g., Docker, Kubernetes) and virtual machines (VMs). - Familiarity with cloud (AWS/Azure) and on-prem data systems. - Bachelors in computer science, or a related field; a Master's degree is a plus. Good-to-Haves: - Experience working with distributed data processing frameworks like PySpark. - Experience working with Natural Language Processing (NLP) and Large Language Models (LLMs). - Familiarity with MLOps platforms such as MLFlow and Kubeflow. - Prior experience with A/B testing methodologies. - Advanced skills in data visualization tools like Tableau or Power BI. Disclaimer This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Fareportal reserves the right to change the job duties, responsibilities, expectations, or requirements posted here at any time at the Company's sole discretion, with or without notice.

Company Description Aligned Automation is dedicated to helping businesses make quick, accurate and sustainable decisions in a rapidly evolving world. We specialize in digitally enabling business strategies by connecting processes, technologies, and people to unlock value and drive critical business outcomes. Our aim is to simplify the transformation journey, making it less painful and more efficient for our clients. With a focus on delivering tangible results, we believe in the power of digital solutions to improve business operations and achieve success. Role Description This is a full-time on-site role for a Lead Data Scientist, located in Pune. The Lead Data Scientist will be responsible for end-to-end ownership of AI/ML and Generative AI solutions, right from problem discovery to model deployment. This includes leading a team of data scientists, managing project delivery, and designing high-impact AI/ML systems. The role combines technical expertise in ML/GenAI, delivery ownership, and team leadership. The ideal candidate should be capable of building models using traditional and generative techniques, collaborating with cross-functional teams, engaging with clients, and enabling scalable solutions through best practices in MLOps and AI innovation. This individual will also play a key role in mentoring junior team members and contributing to solutioning in client pre-sales and delivery. Qualifications 8+ years of industry experience in data science, including 2+ years in a leadership capacity Strong background in Machine Learning, Deep Learning and Generative AI (e.g. LLM, SLM, RAG, LangChain, LanGraph) Hands-on expertise in Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost Experience deploying models to production with understanding of MLOps, API integration and CI/CD pipelines Proven track record of delivering complex projects across domains and working in agile environments Exposure to multi-agent systems, prompt engineering, and LLM-based workflows is a plus Ability to manage stakeholder expectations, scope technical delivery, and provide actionable insights Effective communicator with the ability to translate complex models into business impact Passionate about mentoring and growing high-performing data science teams Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field Experience in the technology, consulting, or automation industry is a strong plus

Greetings from TCS! Job Title: Data Scientist Required Skillset: 10+ Years, including the experience in designing and building of analytics use cases and productionization of the model for a quantified business value, for a minimum of 5 engagements Location: PAN INDIA Experience Range: 10+ years Job Description Must-Have** A candidate for this position must have at least 10 years of working experience working with data science capacity within a fast-paced and complex business setting, preferably working as a Senior Data Scientist. The candidate will also have experience working with natural language processing as well as experience working with machine learning libraries, for example, xgboost, OpenCV, sklearn, among others. Experience working on strategy or full-life cycle data science as well as technical expertise in AI, strategic vision, and hands-on experience with generative AI and large language models (LLMs). Expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. Experience in designing, development, and implementing MLOps pipelines for the continuous deployment and integration of machine learning models. Experience working with deep learning algorithms and large datasets as well as experience working with unstructured data and experience cleaning and manipulating data. The Senior Data Scientist will also play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions to challenge various business issues. Experience in nurturing new opportunities and presales activities Responsibility of / Expectations from the Role: Should have proven thought leadership in solving complex AI/ Data Science problems and consult with stakeholders to initiate projects aligned to business needs Work with business and customer stakeholders (both internal and external) to define product objectives and requirements applying data science principles to products and solutions across business units Liaise with data engineers on building end to end solutions (data mining, data cleansing and data preparation activities) as part of end-to-end data lifecycle Evangelize AI/ML works done by the team internally and externally Interact with industry experts to understand and incorporate latest technology innovation, best practices in data sciences, data mining, and software development. Must have effective communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships. Thanks & Regards, Ria Aarthi A.

About Groww: We are a passionate group of people focused on making financial services accessible to every Indian through a multi-product platform. Each day, we help millions of customers take charge of their financial journey. Customer obsession is in our DNA. Every product, every design, every algorithm down to the tiniest detail is executed keeping the customers’ needs and convenience in mind. Our people are our greatest strength. Everyone at Groww is driven by ownership, customer-centricity, integrity and the passion to constantly challenge the status quo. Are you as passionate about defying conventions and creating something extraordinary as we are? Let’s chat. Our Vision Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. At Groww, we are making sure every Indian feels empowered to do so through a cutting-edge multi-product platform offering a variety of financial services. Our long-term vision is to become the trusted financial partner for millions of Indians. Our Values Our culture enables us to be what we are — India’s fastest-growing financial services company. It fosters an environment where collaboration, transparency, and open communication take center-stage and hierarchies fade away. There is space for every individual to be themselves and feel motivated to bring their best to the table, as well as craft a promising career for themselves. The values that form our foundation are: Radical customer centricity Ownership-driven culture Keeping everything simple Long-term thinking Complete transparency Key Responsibilities: Design and implement scalable machine learning solutions aligned with product and business objectives Develop, test, and optimize ML models for deployment in production environments Contribute to the development of Generative AI features such as conversational interfaces and personalization modules Collaborate with product managers, data scientists, and engineers to integrate ML solutions into customer-facing products Monitor performance of deployed models and iterate to improve accuracy, latency, and user experience Follow best practices in model development, experimentation, and deployment Participate in code reviews, technical discussions, and architectural design sessions Translate business requirements into technical specifications in partnership with stakeholders Required Skills and Experience: 5-8 years of experience in applied machine learning and model deployment Design and implement ML systems using both classical ML algorithms (e.g., XGBoost, Random Forests, SVMs) and GenAI techniques (LLMs, VAEs, GANs). Fine-tune, evaluate, and optimize foundation models (e.g., GPT, LLaMA, Claude) for custom use-cases like summarization, Q&A, RAG pipelines, or structured generation. Proficiency in Python and commonly used ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience building and deploying models using cloud services (AWS, GCP, or Azure) Strong grasp of ML pipelines, feature engineering, and basic MLOps practices Ability to work collaboratively and communicate technical concepts clearly Experience contributing to production-level ML solutions that deliver measurable value Preferred Qualifications: Master’s degree in Computer Science, Machine Learning, or related discipline Exposure to fintech or financial services domain is a plus Familiarity with recommendation engines or personalization techniques Contributions to open-source ML projects or community

Role Overview We're looking for a Python-based AI/ML Developer who brings solid hands-on experience in building machine learning models and deploying them into scalable, production-ready APIs using FastAPI or Django. The ideal candidate is both analytical and implementation-savvy, capable of transforming models into live services and integrating them with real-world systems. Key Responsibilities Design, train, and evaluate machine learning models (classification, regression, clustering, etc.) Build and deploy scalable REST APIs for model serving using FastAPI or Django Collaborate with data scientists, backend developers, and DevOps to integrate models into production systems Develop clean, modular, and optimized Python code using best practices Perform data preprocessing, feature engineering, and data visualization using Pandas, NumPy, Matplotlib, and Seaborn Implement model serialization techniques (Pickle, Joblib, ONNX) and deploy models using containers (Docker) Manage API security with JWT and OAuth mechanisms Participate in Agile development with code reviews, Git workflows, CI/CD pipelines Must-Have Skills Python & Development : Proficient in Python 3.x, OOP, and clean code principles Experience with Git, Docker, debugging, unit testing AI/ML Good grasp of supervised/unsupervised learning, model evaluation, and data wrangling Hands-on with Scikit-learn, XGBoost, LightGBM Web Frameworks FastAPI : API routes, async programming, Pydantic, JWT Django : REST Framework, ORM, Admin panel, Middleware DevOps & Cloud Experience with containerized deployment using Docker Exposure to cloud platforms: AWS, Azure, or GCP CI/CD with GitHub Actions, Jenkins, or GitLab CI Databases SQL : PostgreSQL, MySQL NoSQL : MongoDB, Redis ORM : Django ORM, Skills : Model tracking/versioning tools (MLflow, DVC) Knowledge of LLMs, transformers, vector DBs (Pinecone, Faiss) Airflow, Prefect, or other workflow automation tools Basic frontend skills (HTML, JavaScript, React) Requirements Education: B.E./B.Tech or M.E./M.Tech in Computer Science, Data Science, or related fields Experience: 3-6 years of industry experience in ML development and backend API integration Strong communication skills and ability to work with cross-functional teams (ref:hirist.tech)

Company Description Datakrew is a deep-tech startup based in Singapore, building next-generation analytics for electric vehicle (EV) fleets, batteries, and grid-connected energy assets. Our OXRED platform is deployed across OEMs and operators to extract real-time intelligence from EV battery telemetry, reduce safety risks, and extend usable battery life. We are currently looking for a Battery Intelligence Engineer to support our internal R&D and analytics module development. This role is ideal for someone with a strong interest in battery health modeling, time-series ML, and predictive maintenance. Job Description Responsibilities: Build, train, and benchmark ML models (e.g. LSTM, XGBoost) for battery State-of-Health (SOH), Remaining Useful Life (RUL), and degradation prediction. Analyze large-scale battery performance data to extract actionable insights. Develop anomaly and event detection algorithms for safety-critical battery threats. Create predictive maintenance models to forecast battery failures and degradation. Validate and benchmark model performance using real-world and simulated datasets. Work with the product team to ensure integration of developed models. Stay updated with the latest research in battery modeling and machine learning techniques. Research and collaborate with the team to incorporate electrochemical knowledge into ML models. Qualifications Preferred Skills & Tools: Python (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow) Strong grasp of time-series modeling, signal processing, and statistical evaluation Familiarity with LSTM, GRU, transformer models, or forecasting pipelines Hands-on experience with deep learning models (CNN, DNN, RNN), NLP techniques, and sequence models Exposure to modern LLM ecosystems (ChatGPT, Gemini, Ollama) and tools like LangChain, AI agents, and prompt engineering Good understanding of battery systems: SOC, SOH, DOD, thermal behaviour, lifecycle stressors Experience working with EV, IoT, or BMS datasets (even in academic projects) SQL basics for querying historical telemetry Nice to Have: Familiarity with Kalman filters, physics-informed models, or hybrid ML-physics methods GitHub portfolio or academic project code repos Knowledge of EV architectures or energy storage standards Additional Information If you’re interested in the EV or battery analytics domain, we welcome your application. Engagement Model: Flexible remote work Duration: 2–4 months (extendable) This is a part-time or freelance position.

Experience: 2 + years Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Office (Pune) Placement Type: Full Time Permanent position Must have skills required: Airflow, LLMs, NLP, Statistical Modeling, Predictive Analysis, Forecasting, Python, SQL, MLFlow, pandas, Scikit-learn, XgBoost As an ML / Data Science Engineer at Anervea, youll work on designing, training, deploying, and maintaining machine learning models across multiple products. Youll build models that predict clinical trial outcomes, extract insights from structured and unstructured healthcare data, and support real-time scoring for sales or market access use cases. Youll collaborate closely with AI engineers, backend developers, and product owners to translate data into product features that are explainable, reliable, and impactful. Key Responsibilities Develop and optimize predictive models using algorithms such as XGBoost, Random Forest, Logistic Regression, and ensemble methods Engineer features from real-world healthcare data (clinical trials, treatment adoption, medical events, digital behavior) Analyze datasets from sources like ClinicalTrials.gov, PubMed, Komodo, Apollo.io, and internal survey pipelines Build end-to-end ML pipelines for inference and batch scoring Collaborate with AI engineers to integrate LLM-generated features with traditional models Ensure explainability and robustness of models using SHAP, LIME, or custom logic Validate models against real-world outcomes and client feedback Prepare clean, structured datasets using SQL and Pandas Communicate insights clearly to product, business, and domain teams Document all processes, assumptions, and model outputs thoroughly Technical Skills Required : Strong programming skills in Python (NumPy, Pandas, scikit-learn, XGBoost, LightGBM) Experience with statistical modeling and classification algorithms Solid understanding of feature engineering, model evaluation, and validation techniques Exposure to real-world healthcare, trial, or patient data (strong bonus) Comfortable working with unstructured data and data cleaning techniques Knowledge of SQL and NoSQL databases Familiarity with ML lifecycle tools (MLflow, Airflow, or similar) Bonus: experience working alongside LLMs or incorporating generative features into ML Bonus: knowledge of NLP preprocessing, embeddings, or vector similarity methods Personal Attributes : Strong analytical and problem-solving mindset Ability to convert abstract questions into measurable models Attention to detail and high standards for model quality Willingness to learn life sciences concepts relevant to each use case Clear communicator who can simplify complexity for product and business teams Independent learner who actively follows new trends in ML and data science Reliable, accountable, and driven by outcomesnot just code Bonus Qualities : Experience building models for healthcare, pharma, or biotech Published work or open-source contributions in data science Strong business intuition on how to turn models into product decisions

Relocation Assistance Offered Within Country Job Number #167664 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Assistant Manager, Global Data Science Brief Introduction - Role Summary/Purpose The Global Data Science team at Colgate-Palmolive builds and deploys analytics solutions to drive business growth, focusing on areas like Price Elasticity, Trade Promo Efficiency, and Marketing Effectiveness. To meet increasing demand, new geographically based "Advanced Analytics Pods" are being created, with this role leading the "Europe and Africa Eurasia Pod" and managing six data scientists. This position involves close collaboration with the capability center, Division Analytics and business teams to understand needs, prioritize projects, and deliver relevant analytics solutions. The role requires strong expertise in statistical data analytics, machine learning/AI, and CPG analytics to develop predictive models, manage large datasets, and translate insights into business impact. Responsibilities Leads the scoping and delivery of Pricing, Promotion, and Marketing Effectiveness analytics, including conceptualizing and building predictive models, machine learning algorithms, and optimization solutions. Plays a key role in the governance and continuous improvement of internal analytics solutions, collaborating with other Advanced Analytics Pods. Translates complex analytical results and insights into easily understandable and actionable recommendations for business teams, effectively bridging the gap between business needs and data science. Develops and manages visualization deliverables and web applications to enable self-service analytics and diagnostics for various functions. Writes SQL and Python code to build and deploy scalable enterprise-level data science solutions (e.g., Marketing Mix Modeling, Revenue Growth Management) on cloud platforms using tools like Airflow, Docker, and Kubernetes. Leads, mentors, and coaches a team of data scientists, ensuring the quality of recommendations and solutions deployed globally, and drives new value by integrating internal and external data. Collaborates effectively with cross-functional teams (GIT, Data Architecture, Analytics Engineering) and business partners across geographies and time zones, assisting with change management and presenting insights to stakeholders. Required Qualifications Educational Background & Experience: Requires a Bachelor's degree (Master's/MBA preferred) in a quantitative/technical field (Data Science, Engineering, Statistics, Economics, etc.) with 7+ years in data science and analytics, including 2+ years managing/setting up a data science team. Advanced Technical Expertise: Strong hands-on experience developing and deploying statistical models and machine learning algorithms (Regression, Random Forest, XGBOOST, Clustering, etc.) in production, with expert coding skills in Python, SQL, PySpark, and R. MLOps & Cloud Proficiency: Demonstrable experience with MLOps practices (GitHub, Airflow, Docker, Kubernetes, Databricks, Dataiku) and cloud platforms like Google Cloud and Snowflake, managing high-volume, varied data sources. Domain Specialization & Business Acumen: Expert knowledge in Marketing Mix Modeling, Revenue Growth Management, Optimization, Forecasting, and Marketing Analytics, preferably in CPG or consulting, with the ability to think strategically in complex business contexts. Client-Facing & Communication Skills: Proven experience in a client-facing role, supporting multi-functional teams, with exceptional communication, collaboration, presentation, and storytelling skills to convey insights to business stakeholders. Project Leadership & Execution: Ability to independently plan and execute deliveries, lead project teams for predictive modeling and ad-hoc data needs, and build processes for data transformation and management. Preferred Qualifications Proficient in building web applications using frameworks like Pydash, Plotly, R Shiny, Streamlit, Django, Dash, Python Flask, React.js, or Angular JS. Experienced with advanced AI and machine learning concepts including Deep Learning, Reinforcement Learning, Image Recognition, GenAI, and understanding the real-world application of various ML techniques. Strong knowledge of cloud environments and MLOps tools, including Databricks, Docker, Azure Data Factory, machine learning APIs (Azure, AWS, Vertex AI), Snowflake, and Google Cloud components (Cloud Build, Cloud Run, Kubernetes). Familiar with data visualization tools (Domo, Looker, Streamlit), working with third-party data (syndicated market data, Point of Sales), and has experience in Data Science roles within the CPG industry, ideally in relevant geographies. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Dear Candidate, We are seeking a Machine Learning Engineer to develop predictive models and deploy them into production. Ideal for professionals passionate about AI and data science. Key Responsibilities: Develop and train machine learning models Preprocess and analyze large datasets Deploy models using scalable infrastructure Collaborate with product teams to integrate ML solutions Required Skills & Qualifications: Strong knowledge of Python and ML libraries (scikit-learn, TensorFlow, PyTorch) Experience with data preprocessing and feature engineering Familiarity with model deployment techniques Bonus: Experience with cloud ML services (AWS SageMaker, Google AI Platform) Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of the role The Global Brand Analytics Team at Anheuser-Busch InBev (AB InBev) is tasked with helping strengthen AB InBev’s brands across the globe. The solutions we provide aim to extract insights and give guidance on actionable from all our brand related data. The derived data-driven insights play a pivotal role in empowering our Marketing teams to make well-informed decisions backed by cutting edge modelling techniques and thorough analysis. Key tasks & accountabilities Execute coding skills to develop ML/time-series models. Focus on developing end-to-end analytical solution and present them to business partners/stakeholders. Should have consultative mindset to come up with solutions that can be easily understood and interpreted by business users. Research on the newer technologies and algorithms, to provide better solutions to the current problems. Interact and manage expectations of multiple stakeholders, building compelling narratives and help drive value for businesses by helping them strengthen brands on ground. Qualifications, Experience, Skills Level Of Educational Attainment Required Degree in business analytics / data science / statistics / economics and / or degree in Engineering, Mathematics or Computer Science. Previous Work Experience Minimum 3 years of experience, 2 years in to Data Science must. Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques) and time-series algorithms (e.g. ARIMA, ARIMAX, UCM, Holt-Winters and others). Strong programming skills with working knowledge of SQL, Python. Excellent problem-solving and analytical mindset. Strong communication and interpersonal skills. Strong story boarding skills. Preferred Skills Marketing Analytics background in FMCG And above all of this, an undying love for beer! We dream big to create future with more cheers.

AI/ML Engineer to join our fast-growing. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven applications that deliver business value and customer impact. Key Responsibilities Research and develop machine learning models using supervised, unsupervised, or reinforcement learning techniques. Deploy models into production using MLOps best practices (e.g., containerization, CI/CD, model monitoring). Work on datasets involving structured and unstructured data (e.g., text, image, video, time-series). Collaborate with data engineers, product managers, and other stakeholders to define problem statements and deliver solutions. Continuously improve model performance and scalability using experimentation and model evaluation techniques. Stay updated with the latest trends and breakthroughs in AI/ML (e.g., LLMs, transformers, generative AI). Required Qualifications Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong coding skills in Python (must), with knowledge of libraries like scikit-learn, PyTorch, TensorFlow, Hugging Face, OpenCV , etc. Experience building and tuning ML models from scratch. Solid understanding of ML lifecycle, from data preprocessing to model deployment. Hands-on with SQL , data manipulation tools ( Pandas , NumPy ), and visualization tools ( Matplotlib , Seaborn , Plotly ). Experience with cloud platforms (AWS/GCP/Azure) and tools like Docker, Kubernetes, MLflow is a plus. Preferred Skills Exposure to NLP , LLMs , chatbots , speech processing , or computer vision applications. Experience with GenAI models like GPT, DALL•E, or stable diffusion. Knowledge of prompt engineering, vector databases (like FAISS, Pinecone ), or LangChain is a bonus. Publications or participation in AI/ML competitions (e.g., Kaggle, NeurIPS, CVPR) is a strong plus.

Job Summary: We are looking for a highly skilled and experienced AI/ML Developer with 3-4 years of hands-on experience to join our technology team. You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions. The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine learning. Key Responsibilities: Develop and Implement AI/ML Models Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics. Model Optimization and Evaluation * Continuously improve existing models for performance, accuracy, and scalability. Data Preprocessing and Feature Engineering * Collect, clean, and preprocess structured and unstructured data from various sources. * Engineer relevant features to improve model performance and interpretability. Collaboration and Communication * Collaborate closely with data scientists, backend engineers, product managers, and stakeholders to align model development with business goals. * Communicate technical insights clearly to both technical and non-technical stakeholders. Model Deployment and Monitoring * Deploy models to production using MLOps practices and tools (e.g., MLflow, Docker, Kubernetes). * Monitor live model performance, diagnose issues, and implement improvements as needed. Staying Current with AI/ML Advancements * Stay informed of current research, tools, and trends in AI and machine learning. * Evaluate and recommend emerging technologies to maintain innovation within the team. Code Reviews and Best Practices * Participate in code reviews to ensure code quality, scalability, and adherence to best practices. * Promote knowledge sharing and mentoring within the development team. Qualifications · Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field. · 3-4 years of experience in machine learning, artificial intelligence, or applied data science roles. Required Skills: · Strong programming skills in Python (preferred) and/or R. · Proficiency in ML libraries and frameworks, including: scikit-learn, XGBoost, LightGBM, TensorFlow or Keras, PyTorch · Skilled in data preprocessing and feature engineering, using; pandas, numpy, sklearn.preprocessing · Practical experience in deploying ML models into production environments using REST APIs and containers. · Familiarity with version control systems (e.g., Git) and containerization tools (e.g., Docker). · Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure. · Understanding software development methodologies, especially Agile/Scrum. · Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications. Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Life insurance Provident Fund Schedule: Day shift Monday to Friday Morning shift Weekend availability Supplemental Pay: Performance bonus Work Location: In person

Na Roche, você pode-se apresentar como você mesmo, abraçado pelas qualidades únicas que traz. Nossa cultura incentiva a expressão pessoal, o diálogo aberto e as conexões genuínas, onde você é valorizado e respeitado por quem você é, e permitindo que você prospere tanto pessoal como profissionalmente. É assim que pretendemos prevenir, deter e curar doenças e garantir que todos tenham acesso aos cuidados de saúde hoje e nas gerações futuras. Junte-se à Roche, onde cada voz é importante. A posição The Opportunity The Senior Software Engineer is a member of a talented team in Pune and will apply his/her expert knowledge of Python, Node.js (TypeScript) and AWS in the implementation of complex, enterprise-scale software systems. General responsibilities include requirement analysis, lower level design, implementation, unit testing for components or features and integration with external partner APIs. Works as an individual contributor or in a small team on specific product features with occasional guidance and in coordination with other team mates. Participate in peer code review sessions and enforce quality of deliverables. Job Facts Software Development: This is a hands-on software development position to write high-quality software that will perform at scale, be supportable, and be extensible. Process & Operations: Ensure the software deliverables follow existing process guidelines and conform to all existing quality parameters. Follow scaled agile framework guideline for incremental development. Mentorship: Mentor and guide junior team members in technical challenges and provide guidance on best practices and quality attributes. Technology stack: Primary backend stack is Python based but we constantly explore different technologies and toolsets that are fit-for-purpose. Here is a list of technologies we currently use: Python, Node.js and Java (Good to have) Protobuf, JSON, XML, YAML Git, TortoiseGit Data stream processing framework: Apache Flink, AWS Kinesis, AWS Firehorse. AWS services (must be aware about basics of RDS, MSK, EC2, Lambda, Elastic Cache, CloudFront, API Gateway, S3, RDS, NLB/ALB, Security Groups/NACLs/VPCs, Cloud Watch, SNS, SQS) Docker & Kubernetes (Good to have) Experience with Typescript and writing APIs in Node.js Your Main Responsibilities Will Include Design, develop, and implement robust and scalable web applications using Python and Node.js (TypeScript). Write clean, well designed, testable, efficient and maintainable code. Develop a new set of APIs and write unit test cases for the same. Write reusable code and libraries Collaborate with team members and stakeholder Review code written by fellow junior developers. Involve in agile ceremonies like stand-up, sprint planning, and demos with co-workers Who You Are BS/Btech/MS degree in Computer Science or directly related discipline 6-9 years of hands-on industry experience as a Python and Node.js (TypeScript) developer Experience on developing APIs with Python and Node.js (TypeScript) Experience with developing and implementing ML models using the TensorFlow framework. Experience with XGBoost is a plus Experience with event based architecture and in cloud development using AWS. Solid understanding of design patterns, object-oriented design and event based architecture Experience in healthcare is not required, but familiarity with healthcare data and workflows is a plus (e.g. HL7, IHE) Knowledge and experience with the Agile development process or SAFe is big plus. Great written and verbal communication in English Mindset You Will Be Expected To Demonstrate The We@RIS Dimensions And Help Evolve The Functions Culture Beliefs And Bring We@RIS To Life. The Dimensions Are We are passionate about our customers and patients We radically simplify We trust, collaborate & have fun We ALL lead We experiment & learn Are you ready to apply? We want someone who thinks beyond the job offered - someone who knows that this position can be a unique opportunity to shape the future of Diagnostics. Quem nós somos Um futuro mais saudável nos leva a inovar. Juntos, mais de 100 mil funcionários em todo o mundo se dedicam ao avanço da ciência, garantindo que todos tenham acesso à saúde hoje e nas próximas gerações. Nossos esforços resultam em mais de 26 milhões de pessoas tratadas com nossos medicamentos e mais de 30 bilhões de testes realizados usando nossos produtos de diagnóstico. Nós nos capacitamos para explorar novas possibilidades, promover a criatividade e manter as nossas ambições altas, para fornecer soluções de saúde que mudem a vida e causem um impacto global. Vamos construir juntos um futuro mais saudável. A Roche é um empregador que pratica políticas de igualdade de oportunidades.

Who are we? Securin is a leading product based company backed up by services in the cybersecurity domain, helping hundreds of customers world wide gain resilience against emerging threats. Our products are powered by accurate vulnerability intelligence, human expertise, and automation, enabling enterprises to make crucial security decisions to manage their expanding attack surfaces. Securin is built on the foundation of in-depth penetration testing and vulnerability research to help organizations continuously improve their security posture. Our team of intelligence experts is one of the best in the industry and our comprehensive portfolio of tech-enabled solutions include Attack Surface Management (ASM), Vulnerability Intelligence (VI), Penetration Testing, and Vulnerability Management. These solutions allow our customers to gain complete visibility of their attack surfaces, stay informed of the latest security threats. Also, trends, and proactively address risks. What do we promise? We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritised remediation for every one of our client businesses. What do we deliver? Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks. Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry. Job Location : IIT Madras Research Park, A block, Third floor, 32, Tharamani, Chennai, Tamil Nadu 600113 Work Mode: Hybrid, Work from office - Chennai, 2 days a week Compensation : Up to 30LPA Job Title: Senior Software Engineer (With Machine Learning Experience) Job Description: We are seeking a skilled and motivated Python Engineer with 5+ years of professional experience , including at least 2 years of hands-on experience in Machine Learning (ML) . The ideal candidate will possess strong Python development skills, a deep understanding of object-oriented programming (OOP), and practical experience with NoSQL databases, especially MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is also required. This role is perfect for a developer who is not only proficient in backend engineering but also enthusiastic about applying ML concepts in real-world applications. You’ll work closely with cross-functional teams to develop and optimize scalable, reliable, and maintainable Python-based solutions. Responsibilities : Design, develop, and maintain Python applications with a focus on performance and scalability. Design systems with non-linear time complexity and efficient space usage across compute and storage. Ensure stateless, idempotent request processing with no in-memory state. Model schemas for future evolution, supporting increasing data volume and structural changes. Build and operate cloud-based SaaS applications with a focus on production reliability. Design includes not only functional code but also integrated monitoring, alerting, and health checks to ensure observability and operational excellence in a multi-tenant environment. Apply object-oriented programming (OOP) principles to craft reusable, modular code. Develop, implement, and optimize machine learning models in production environments. Leverage NoSQL databases like MongoDB for efficient data storage and retrieval. Work with cloud platforms (AWS, GCP, Azure) for application deployment and data services. Write and maintain robust unit and integration tests using test-driven development (TDD) practices. Participate in the full software development lifecycle — from requirements gathering to deployment. Collaborate with cross-functional teams, participate in Agile ceremonies, and contribute to technical discussions. Engage in code reviews and mentor junior team members where appropriate. Stay updated with emerging trends in Python development, machine learning, and software engineering best practices. Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Python development. At least 2 years of hands-on experience with Machine Learning (model development, evaluation, and deployment). Strong understanding of OOP principles and real-world software design. Experience working with NoSQL databases, particularly MongoDB. Familiarity with TDD practices and writing unit tests. Practical experience with cloud platforms (AWS, GCP, or Azure). Proficiency with version control systems such as Git. Excellent problem-solving and debugging skills. Strong communication and teamwork abilities. A proactive, self-motivated attitude with a passion for continuous learning. Preferred Qualifications: Hands-on experience in AI concepts including LLMs, prompt engineering, or traditional AI. Strong grasp of supervised, unsupervised, and reinforcement learning with practical experience in key ML algorithms (e.g., regression, SVMs, neural networks, clustering). Proficient with ML frameworks like scikit-learn, TensorFlow, PyTorch, and XGBoost. Solid foundation in math (linear algebra, calculus, probability, statistics) and understanding of optimization and loss functions. Experience with model serving using Flask, FastAPI, or TensorFlow Serving. Experience with Python ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Knowledge of Agile/Scrum methodologies and collaborative development workflows. What We Offer: A collaborative and innovative team environment. Opportunities to work on AI/ML-powered products and projects. Ongoing learning and career development opportunities. A dynamic culture focused on growth, curiosity, and problem-solving. If you're a Python developer with a strong foundation and a growing passion for machine learning, we’d love to hear from you! Why should we connect? We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion. At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home. If you are passionate about cybersecurity just as we are, we would love to connect and share ideas.

SynapseIndia is a software development company with over 24 years of experience, featuring development offices in India and the USA. We serve clients worldwide, delivering innovative solutions tailored to their needs. Our Noida SEZ office is conveniently located just a 10-minute walk from the nearest metro station. Why work with us? Partnerships with Industry Leaders: We are a Google and Microsoft partner, staffed by certified professionals. Global Presence: As a multinational corporation, we have clients and employees across the globe. Structured Environment: We follow CMMI Level-5 compliant processes to ensure quality and efficiency. Timely Salaries: We have consistently paid salaries on time since our inception. Job Stability: Despite market fluctuations, we have not had to lay off employees. Work-Life Balance: Enjoy weekends off on the 2nd and last Saturday of every month, with no night shifts. Our employees are 100% satisfied, thanks to a culture of trust and growth opportunities. Eco-Friendly Workplace: We promote health and well-being with special anti-radiation and energy removal features in our offices. We prioritize the job security of all our employees. We celebrate all festivals with enthusiasm and joy. Yearly Appraisals: Exceptional performers can receive over 100% increments during appraisals. We recognize and reward top performers on a monthly basis for their outstanding contributions. We provide Accidental and Medical Insurance to our employees. Who are we looking for? Designation : Technical Team Lead (Python and AI/ML) Experience Range : 5+ years What skills and experience are we looking for? Bachelor's/Master’s degree in Computer Science, Engineering, or related field. 5+ years of experience in software development with strong expertise in Python. 3+ years of experience in machine learning, deep learning, or AI-based applications. Proficient in AI/ML libraries like TensorFlow, PyTorch, Scikit-learn, XGBoost, OpenCV etc. Hands-on experience with data preprocessing, model training, validation, and deployment. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong understanding of REST APIs and backend development. Experience with cloud platforms like AWS, Azure, or GCP. Excellent problem-solving, communication, and leadership skills. Experience working in Agile/Scrum teams. Knowledge of data engineering tools (e.g., Spark, Kafka, Snowflake). Publications, open-source contributions, or Kaggle competition experience. Exposure to NLP, computer vision, or generative AI models is a plus. What is the work? Lead and mentor a team of Python and AI/ML engineers. Design, develop, and deploy scalable machine learning models and end-to-end solutions. Collaborate with product managers, data scientists, and other stakeholders to define project goals and technical specifications. Translate business requirements into technical specifications and implementation plans. Architect backend systems using Python frameworks (e.g., FastAPI, Django, Flask). Review code, ensure best practices, and perform unit and integration testing. Monitor and improve model performance, reliability, and scalability in production. Ensure adherence to project timelines and deliverables. Stay current with emerging technologies and integrate them into existing systems as appropriate. Foster a culture of innovation, collaboration, and continuous improvement.

SynapseIndia is one of the top I.T. outsourcing companies based out of Noida with clients across the globe. We are 23+ years old organization and with expertise of more than two decades, we have worked with both large brands as well as startups. Why work with us? We are Microsoft Gold partner, Google partner, Shopify partner company with certified professionals. SynapseIndia is an MNC having clients and employees all over the world. SynapseIndia has 500 IT professionals and has plan to hire more than 500 more developers in the next 5 months. We have structured environment with industry leading CMMI level-5 compliant processes. Several IT professionals joined as developers/programmers and now they are leading a team . Salaries are always paid on time , from the time company started till date, there has never been a delay. Developers get an exposure to interact with international clients (Majorly USA clients) at a very early stage in career. Despite market conditions, we have not laid off people. We never work on holidays . This way, you can maintain your personal as well as professional life balance. Office timings are from 9:30 AM to 6:30 PM. 2nd and last Saturday of every month is off for everyone. Annual salary review – based on company and individual performance. This is permanent work from office job opportunity. Who are we looking for? Designation - Sr. Python Developer (AI ML) Experience Range - 5+ years What skills and experience are we looking for? Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. 5+ years of professional experience in Python programming with a focus on AI/ML. Strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Solid understanding of machine learning algorithms, neural networks, and deep learning. Experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn). Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models using Docker, Kubernetes. Familiarity with NLP, Computer Vision, or other AI domains is a plus. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication skills. Experience with distributed computing and big data tools like Spark or Hadoop. Knowledge of MLOps best practices and tools. Familiarity with REST APIs and microservices architecture. Experience with version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. What is the work? Design, develop, and deploy machine learning models and AI algorithms using Python and relevant libraries. Collaborate with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. Optimize and scale machine learning pipelines and systems for production. Perform data preprocessing, feature engineering, and exploratory data analysis. Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or similar. Conduct experiments and evaluate model performance using statistical methods. Write clean, maintainable, and well-documented code. Mentor junior developers and participate in code reviews. Stay up-to-date with the latest AI/ML research and technologies. Ensure model deployment is seamless and models are integrated with existing infrastructure.

We are seeking a Data Scientist with strong expertise in classical machine learning and experience working with automotive datasets. The role focuses on building predictive models, marketing mix analysis, and end-to-end data pipeline development. Experience in marketing analytics is essential. Exposure to Generative AI is a plus, not a requirement. Experience : Min 3 years Industry : Automobile/Automotive(Mandatory) Job location : Mumbai (Andheri- Chakala) Notice period : Max 45 days Budget : upto 18 lacs depending on the current CTC of the candidate hike can be offered 20-25% Key Responsibilities: Develop and deploy ML models (classification, regression, forecasting) for business use cases in the automotive domain. Analyze customer and vehicle data to derive insights for campaigns, retention, and personalization. Implement NLP techniques and marketing mix models for campaign optimization. Build data pipelines to ensure clean and real-time data processing. Collaborate with cross-functional teams to translate insights into strategy. Qualifications: Bachelor’s/Master’s in Computer Science, Data Science, or related field. 3–5 years of experience in ML and marketing analytics. Strong in Python, R, SQL, Azure; experience with scikit-learn, XGBoost, TensorFlow, or PyTorch. Automotive domain experience is mandatory. Familiarity with GenAI tools (OpenAI, LangChain, etc.) is a bonus Interested candidates please share the cvs at astha@hr-central.org or share reference if any #datascientist

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Data Scientist II-3 Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Data Scientist II. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset. Role Manipulates large data sets and applies various technical and statistical analytical techniques (e.g., OLS, multinomial logistic regression, LDA, clustering, segmentation) to draw insights from large datasets. Apply various Machine learning (i.e. SVM, Radom Forest, XGBoost, LightGBM, CATBoost etc), Deep learning techniques (i.e. LSTM, RNN, Transformer etc.) to solve analytical problem statement. Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data. Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models. Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science. Present technical problems and findings to business leaders internally and to clients succinctly and clearly. Leverage best practices in machine learning and data engineering to develop scalable solutions. Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team Be a strong, confident, and excellent writer and speaker, able to communicate your analysis, vision and roadmap effectively to a wide variety of stakeholders All About You: 3-5 years in data science/ 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. Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis. Solve problems that are new to the company, the financial industry and to data science SQL / Database experience is preferred Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms. Familiarity with relevant technologies (e.g. Tensorflow, Python, Sklearn, Pandas, etc.). Strong desire to collaborate and ability to come up with creative solutions. Additional Finance and FinTech experience preferred. Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics. Corporate Security Responsibility Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security. All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And Therefore, It Is Expected That The Successful Candidate For This Position Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. #AI Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. 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Required Skills & Experience: • 12+ years of experience in AI/ML, data engineering, and cloud architecture. • Minimum of 10 end-to-end AI/ML project implementations from use case discovery through to productionization. • Proven expertise in: (Any One) • AI/ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch • GenAI/LLM platforms: OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma) • Cloud platforms: AWS, Azure, GCP – including AI/ML & GenAI native services • MLOps/LLMOps tools: MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines • Strong experience with data security, governance, model risk management, and AI compliance frameworks • Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders