657 Xgboost Jobs - Page 24

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.

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

Company Description Webskitters Technology Solutions Pvt. Ltd. is a globally-renowned company that delivers top-notch Web and Mobile App Design, Development, Digital Marketing, Artificial Intelligence, and Internet of Things services. The company operates from offices in the USA, UK, and India, providing innovative solutions to clients worldwide. Role Description This is a full-time on-site role for a Data Science Trainer located in the Kolkata metropolitan area. The Data Science Trainer will be responsible for designing and delivering data science training programs, conducting workshops, mentoring individuals or teams, and staying updated on the latest trends and technologies in the field. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. 1+ years of experience in a data science or analytics role (for mid-level roles). Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, XGBoost). Strong SQL skills and familiarity with data querying languages. Excellent problem-solving skills and a strong attention to detail. Ability to translate complex data into actionable insights. 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.

Role & responsibilities Requires 5-8 years of proven experience in banking/payments/other domains Strong experience in developing Machine Learning models, Python & SQL Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases Detailed oriented with a proactive mindset towards problem-solving Excellent communication and presentation skills with the ability to convey complex information clearly and concisely Demonstrated ability to engage with client stake holders

Job Description: We are seeking a skilled and innovative AI/ML Engineer to design, build, and deploy machine learning solutions that solve complex business challenges in mission-critical industries. You will work with multidisciplinary teams to apply AI, ML, and deep learning techniques to large-scale datasets and real-time operational systems. Key Responsibilities: Design and implement end-to-end ML pipelines: data ingestion, model training, evaluation, and deployment Build predictive and prescriptive models using structured, unstructured, and real-time data Develop and fine-tune deep learning models for NLP, computer vision, or time series forecasting Integrate ML models into enterprise platforms, APIs, and dashboards Work closely with domain experts, data engineers, and DevOps teams to ensure production-grade performance Conduct model validation, bias testing, and post-deployment monitoring Document workflows, architecture, and results for reproducibility and audits Research and evaluate new AI tools, techniques, and trends Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or related field 5-7 years of hands-on experience in developing and deploying ML models Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) Experience with NLP (BERT, spaCy) or CV frameworks (OpenCV, YOLO, MMDetection) Familiarity with data processing tools (Pandas, Dask, Apache Spark) Proficient in SQL and experience with time-series or sensor data Knowledge of ML Ops practices and tools (Docker, MLflow, Airflow, Kubernetes) Industry experience in Oil & Gas, Power Systems, or Urban Analytics Hands-on with edge AI (Jetson, Coral), GPU compute, and model optimization Cloud services: AWS SageMaker, Azure ML, or Google AI Platform Familiarity with REST APIs, OPC-UA integration, or SCADA data sources Knowledge of responsible AI practices (explainability, fairness, privacy).

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. Show more Show less

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: 1. 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. 2. Model Optimisation and Evaluation Continuously improve existing models for performance, accuracy, and scalability. 3. Data Preprocessing and Feature Engineering Collect, clean, and preprocess structured and unstructured data from various sources. Engineer relevant features to improve model performance and interpret ability. 4. Collaboration and Communication Collaborate closely with data scientists, back end engineers, product managers, and stakeholders to align model development with business goals. Communicate technical insights clearly to both technical and non-technical stakeholders. 5. 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. 6. 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. 7. 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. Required Skills and Qualifications: Bachelors or Masters 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. 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.

Walk-in interview only -BLR No virtual Python & libraries scikit-learn, TensorFlow,PyTorch/XGBoost exp in supervised, unsupervised, and deep learning techniques Deployment tools Flask, FastAPI, Docker AWS GCP, Azure &ML,SQL Contact Maya 9880516218

We are seeking a highly skilled AI Engineer with demonstrated expertise in both traditional Machine Learning modelling and modern GenAI techniques. This role involves building scalable AI systems using foundation models, parameter- efficient fine-tuning (PEFT), and robust MLOps pipelines, while also grounding your solutions in classical machine learning principles. The ideal candidate excels at blending structured data modelling with large language model capabilities to drive intelligent, efficient, and production-ready AI systems. Key Responsibilities: Design, build, and deploy predictive systems by combining traditional ML models (e.g., regression, tree-based, time series) with Generative AI capabilities (e.g., LLMs, embeddings, GenAI-based simulation). Strong skills in prompt engineering are required to support the development and deployment of generative AI solutions. Fine-tune foundation models using PEFT techniques (e.g., LoRA, prefix tuning, adapters) for domain-specific applications. Build and maintain end-to-end MLOps pipelines for model versioning, testing, deployment, monitoring, and retraining. Use LLMs for automating feature generation, synthetic data creation, and prompt-driven scenario modelling. Manage the full AI/ML model lifecycle: experimentation, deployment, monitoring, diagnostics, and iterative enhancements. Apply and validate classical ML algorithms (e.g., XGBoost, LightGBM, ARIMA, SVMs, etc.) as benchmarks or hybrid components. Collaborate with cross-functional teams (data scientists, ML engineers, DevOps, product) to deliver AI solutions aligned with business needs. Deploy and monitor solutions in cloud environments (e.g., AWS SageMaker, GCP Vertex AI, Azure ML, REST(FAST API) with automated retraining and model health checks. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Machine Learning, Data Science, or related field. 3+ years of experience in AI/ML engineering, with proven success in both traditional predictive modelling and LLM-based development. Strong Python programming skills and familiarity with ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, and Transformers. Experience in parameter-efficient fine-tuning (PEFT) using frameworks such as Hugging Face PEFT, QLoRA, or AdapterHub. Proficiency in building MLOps workflows with tools like MLflow, Airflow, Kubeflow, or SageMaker Pipelines. Solid SQL/NoSQL experience and strong data wrangling skills. Hands-on experience deploying models in production cloud environments and containerized systems (e.g., Docker, Kubernetes). Excellent problem-solving, debugging, and communication skills.

Description We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As An Engineer You Will Be Responsible For Ownership of product/feature end-to-end for all phases from the development to the production. Ensuring the developed features are scalable and highly available with no quality concerns. Work closely with senior engineers for refining the design and implementation. Management and execution against project plans and delivery commitments. Assist directly and indirectly in the continual hiring and development of technical talent. Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About The Team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions. Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Haryana Job ID: A2992237 Show more Show less

About the Role Mergen Partners is seeking a Data Scientist to join a cutting-edge AI and Data Science team. In this role, you’ll design predictive models and data-driven solutions that directly influence critical business areas such as pricing strategy, customer behavior analysis, and resource optimization. If you thrive on solving complex problems with AI and want to see your work drive tangible outcomes, this is your opportunity to make an impact. What You’ll Do Lead Analytical Strategy: Drive innovation by proposing new statistical frameworks, testing methodologies, and infrastructure enhancements to unlock business value. Collaborate Cross-Functionally: Partner with stakeholders to define challenges, develop hypotheses, and transform raw data (including conversational data) into actionable insights and scalable models. Own End-to-End Analytics: Conduct descriptive/prescriptive analyses, design experiments (A/B, multi-armed bandit), and track business metrics to inform decision-making. Build ML Solutions: Develop models to optimize customer segmentation, retention, conversation quality, and revenue growth. Mentor & Guide: Serve as the team’s AI/ML authority, overseeing advanced statistical work and model development. Ensure Model Excellence: Validate, test, and refine models for performance, scalability, and real-world applicability. What We’re Looking For Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Experience: 2-5 years in data science, machine learning, or product analytics with hands-on model development. Technical Expertise: Proficiency in Python and SQL (BigQuery preferred). Mastery of machine learning techniques: regression, classification, clustering, time series analysis. Hands-on experience with frameworks like XGBoost, Naive Bayes, K-means, Neural Networks. Familiarity with ML libraries (TensorFlow, PyTorch, Keras). Strong grasp of statistical analysis (descriptive and inferential). Bonus Skills: Exposure to NLP, computer vision, or reinforcement learning. Experience in e-commerce, retail analytics, or product analytics. Knowledge of CI/CD pipelines for ML deployment. Familiarity with large language models (LLMs) and prompt engineering. Why Apply? Solve High-Impact Problems: Your work will shape strategies that directly affect business growth and customer experiences. Innovate with AI: Work at the forefront of AI/ML applications in a dynamic, collaborative environment. Ownership & Growth: Lead projects from ideation to deployment while mentoring peers and refining best practices. Note: Mergen Partners values diversity and is proud to support our client in building an inclusive team. All qualified applicants will receive consideration. Show more Show less

Python Developer – AI Agent Development (CrewAI + LangChain) Location: Noida / Gwalior (On-site) Experience Required: Minimum 3+ years Employment Type: Full-time 🚀 About the Role We're seeking a Python Developer with hands-on experience in CrewAI and LangChain to join our cutting-edge AI product engineering team. If you thrive at the intersection of LLMs, agentic workflows, and autonomous tooling — this is your opportunity to build real-world AI agents that solve complex problems at scale. You’ll be responsible for designing, building, and deploying intelligent agents that leverage prompt engineering, memory systems, vector databases, and multi-step tool execution strategies. 🧠 Core Responsibilities Design and develop modular, asynchronous Python applications using clean code principles. Build and orchestrate intelligent agents using CrewAI: defining agents, tasks, memory, and crew dynamics. Develop custom chains and tools using LangChain (LLMChain, AgentExecutor, memory, structured tools). Implement prompt engineering techniques like ReAct, Few-Shot, and Chain-of-Thought reasoning. Integrate with APIs from OpenAI, Anthropic, HuggingFace, or Mistral for advanced LLM capabilities. Use semantic search and vector stores (FAISS, Chroma, Pinecone, etc.) to build RAG pipelines. Extend tool capabilities: web scraping, PDF/document parsing, API integrations, and file handling. Implement memory systems for persistent, contextual agent behavior. Leverage DSA and algorithmic skills to structure efficient reasoning and execution logic. Deploy containerized applications using Docker, Git, and modern Python packaging tools. 🛠️ Must-Have Skills Python 3.x (Async, OOP, Type Hinting, Modular Design) CrewAI (Agent, Task, Crew, Memory, Orchestration) – Must Have LangChain (LLMChain, Tools, AgentExecutor, Memory) Prompt Engineering (Few-Shot, ReAct, Dynamic Templates) LLMs & APIs (OpenAI, HuggingFace, Anthropic) Vector Stores (FAISS, Chroma, Pinecone, Weaviate) Retrieval-Augmented Generation (RAG) Pipelines Memory Systems: BufferMemory, ConversationBuffer, VectorStoreMemory Asynchronous Programming (asyncio, LangChain hooks) DSA / Algorithms (Graphs, Queues, Recursion, Time/Space Optimization) 💡 Bonus Skills Experience with Machine Learning libraries (Scikit-learn, XGBoost, TensorFlow basics) Familiarity with NLP concepts (Embeddings, Tokenization, Similarity scoring) DevOps familiarity (Docker, GitHub Actions, Pipenv/Poetry) 🧭 Why Join Us? Work on cutting-edge LLM agent architecture with real-world impact. Be part of a fast-paced, experiment-driven AI team. Collaborate with passionate developers and AI researchers. Opportunity to build from scratch and influence core product design. If you're passionate about building AI systems that can reason, act, and improve autonomously — we’d love to hear from you! 📩 Drop your resume and GitHub to sameer.khan@techcarrel.com. Show more Show less

In Norconsulting we are currently looking for an AI developer to join us in Chennai in a freelancer opportunity for a major Banking organization. Duration : long term Location : Chennai Rate : 110 USD/day (around 2200 USD per month) Type of assignment: Full-time (8h/day, Monday to Friday) SKILLS / EXPERIENCE REQUIRED AI Developer • Large Language Models (LLMs) & Prompt Engineering: Experience working with transformer-based models (e.g., GPT, BERT) and crafting effective prompts for tasks like summarization, text classification and document understanding. • Azure Document Intelligence: Hands-on experience with Azure AI Document Intelligence for extracting structured data from unstructured documents (invoices, forms, contracts). • Model Development & Evaluation: Strong foundation in ML algorithms, model evaluation metrics, and hyperparameter tuning using tools like Scikit-learn, XGBoost, or PyTorch. • MLOps (Machine Learning Operations): Proficient in building and managing ML pipelines using Azure ML, MLflow, and CI/CD tools for model training, deployment, and monitoring. • Azure Machine Learning (Azure ML): Experience with Azure ML Studio, automated ML, model registry, and deployment to endpoints or containers. • Azure Functions & Serverless AI: Building event-driven AI workflows using Azure Functions for real-time inference, data processing, and integration with other Azure services. • Programming Languages: Strong coding skills in Python (preferred), with knowledge of libraries like NumPy, Pandas, Scikit-learn, and Matplotlib. • Database & Data Lakes: Experience with SQL and NoSQL databases, and integration with data lakes for AI pipelines. • DevOps & Git Integration: Experience with Azure DevOps for version control, testing, and continuous integration of AI workflows. WBGJP00012309 Show more Show less

Engineer II Shape Region: India State: Karnataka City: Bangalore Description & Requirements: Who We Are? We are proud to be a growing global company with locations all around the world, from Vancouver to Shanghai, and places in between. We owe our success to our innovative product, our emphasis on our stores, our commitment to our people, and the incredible connections we get to make in every community we are in. We work together to elevate the world and we set audacious goals, nurture big growth, and engineer innovative products that allow people to feel—and perform—their best. To us, leadership is more than a role or title—it’s a way of being. About lululemon: lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative products, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. As we continue to elevate our shopping experience, our India Tech Hub plays a key role in expanding our technology capabilities in Product Systems, Merchandising and Planning, Digital Presence, distribution and logistics, and corporate systems. Our team in India works as an extension of the global team on projects of strategic importance. About the team: The opportunity is for a role in Design & Development space in the Global Product Technology team. The objective is to align strategic intent with in-store execution and compliance to the global merchandising strategies and brand stories. We support the pre-season/in-season suite of technology solutions while living our vision to be an experiential brand and enhance the guest experience by delivering the right product, at the right place and time. We are responsible for ensuring the success of the team and proactively identify the most high-value deliverables and focus on shipping quality software solutions and other deliverables. By partnering closely with the business partners, project leads, and technical teams we help deliver project scope and ensure stakeholder expectations are met. At all levels, we demonstrate leadership by supporting the growth and development of the team as a whole and individually. At the core of our product is innovation. Planning functions are critical in understanding our guest, market, demand, and driving decisions on product placement. Our work aims to ensure end to end execution of our merchandising strategies to marry the right product to the right sizes of the boxes. Our work directly contributes to the success and growth of store planners, visual merchandising and retail teams. Who You Are? The ideal candidate performs the development of high-performing, well-tested, and thoughtfully architected software applications satisfy our internal business needs &power guest experiences; Has proven experience in effectively applying scientific, mathematical, and social principles design, build, & maintain technology products, devices, systems, and solutions that provide amazing customer experiences. A Day in the Life? Work closely with Engineers, tech lead and Solution Architects to manage the end-to-end delivery and implementation of design solutions on various tracks / projects Working on establishing best practices in the space of data engineering/ML engineering and adhering to coding practices and quality deliverables Uses algorithms, data structures, programming languages, programming paradigms to create, test, and operate sustainable client-side or server-side software applications and services. Support to Build and extend applications in the hybrid cloud and/or on-premise environments. Ensures application support is designed to be highly available, observable, and durable via software engineering best practices. Support Production issues & Prepare the system for Peak performance scaling. Works with business and systems analysts to understand end-user requirements and translate those into pragmatic & effective technical solutions. Works closely with onsite and remote frontend, backend and operations engineers to ensure deliverables are well-documented, secure, and resilient. Applies DevOps practices- brings development and IT ops processes, people, and tools closer together to increase the speed, efficiency, and quality with which we deliver technical solutions. Designs for release configuration management. Collaborates with the engineering teams (distributed globally) to deliver on integration projects. Engages in ongoing quality and performance improvement to ensure reliability and security. Mentors and leads engineers with respect to quality engineering practices, effective design principles and help them adhere to global coding standards Must Haves: Acknowledges the presence of choice in every moment and takes personal responsibility for their life. Possesses an entrepreneurial spirit and continuously innovates to achieve great results. Communicates with honesty and kindness and creates space for others to do the same. Leads with courage, knowing the possibility of greatness is bigger than the fear of failure. Fosters connection by putting people first and building trusting relationships. Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously. Qualifications: Bachelor’s degree in computer science engineering or equivalent. 5-8+ years’ experience in Data-Engineering Tech-Stack 5-8+ years’ experience with cloud technologies AWS Python, Py-Spark as middle tier coding technology, Your proficiency in Python, SQL, and Pyspark should be impressive. Basic understand in developing and managing data pipelines, and workflows within Databricks Working experience with Big-data, PostGreSQL, ETL, Data Integration Services (Airflow, Glue, AWS services), Data Science (preferable) Experience in building data pipelines using pandas is essential for data preparation and transformation. Familiarity with Git-based tools (preferably Gitlab) ensures efficient collaboration. Experience with data warehousing solutions like Snowflake OR Redshift and familiarity with scalable storage and query optimization for large datasets. Strong software development fundamentals including design, coding, automated testing, source control, continuous integration in addition to continuous delivery and/or deployment.? Strong technical, hands-on, experience to support development, infrastructure, and operations. Knowledge of ML frameworks and libraries such as XGBoost, TensorFlow, PyTorch, and Scikit-learn for building predictive models and performing data analysis. Familiarity and understanding of DevOps – CI CD, Strong foundation on quality engineering practices. Ability to work independently with minimal direction, be a self-starter with strong initiative, and ability to manage/execute workload to deliver high quality results. Familiar with: Eclipse, Jira, Confluence, MS Office, SharePoint, Smartsheet Excellent verbal and written communication skills Support troubleshooting through solid analytical reasoning Experience in Agile methodology. Show more Show less