397 Svm Jobs - Page 7

- 2+ years of sales experience - Experience analyzing data and best practices to assess performance drivers We are looking for a Strategic account manager responsible for the growth and development of some of the most influential sellers on the Amazon.in marketplace. The ideal candidate thrives in an ambiguous environment where they must develop, implement and iterate on business strategies to deliver growth and positive experience for sellers. The candidate should be hands-on, detail oriented, have relentlessly high standards and operates as a business owner who understands key levers to achieve results through their team. In this role, the candidate will be responsible for achieving the top line nos. for the business by driving strategic business and operational objectives. The candidate will drive the creation and execution of strategies to achieve business goals through his team by focusing on selection expansion, leveraging Fulfillment channels for faster delivery, developing merchandising strategy and improving catalog quality. The candidate will use his category expertise to drive seller interactions & act as a Voice of Seller influencing Marketplace policies on Seller Fees and Policies, in areas like Reimbursements, Returns, Seller Claims etc. The candidate would need to actively collaborate with other stakeholders like Category Management, Fulfillment, Finance, Product & Advertising teams to align programs and initiatives to identify potential growth avenues and drive seller success. If you are interested in growing brands and businesses on Amazon, we’re interested in talking to you! Key job responsibilities Business Growth · Contribute to business strategy development and identify correct input metrics that drive growth and improve the end customer & seller experience, in collaboration with cross-functional teams and other Amazon programs. · Possess the ability to manage and deliver against complex goals where strategy is not defined. Able to make tradeoffs between short term seller needs and longer-term strategic investment. Relationship Management · Build and cultivate strong relationships with sellers in your portfolio along with internal stakeholders; be a trusted advisor and a business advocate. Process Excellence · Use customer feedback, market growth trends, and analyze key metrics to contribute to strategic development of features and programs that accelerate seller’s growth and improve their experience working with Amazon. Spot areas of unnecessary process or inefficiencies and work to simplify. · Identify, optimize, and scale improvements that can benefit a large set of customers, e.g. driving efficiencies through tools and processes, simplifying SOPs, etc., working across multiple organizations. Develop mechanisms to create accountability. Experience in e-commerce - - Experience meeting revenue targets and quotas - - Experience in e-commerce - - Experience working in a fast-paced and highly cross-functional organization 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.

Senior AI/ML Engineer - R01551337 Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions • Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. • Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. • Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization • Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. • Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. • Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research • Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. • Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. • Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact • Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. • Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building • Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. • Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

About the job Position : AI & Machine Learning Trainer Location : Hyderabad, Telangana Duration : 40 working days Compensation : ₹40,000–₹60,000 per month Job description : ExcelR is seeking experienced AI and Machine Learning trainers to deliver a comprehensive AI and Machine Learning curriculum. The training program will span 40 working days, with daily classes of 5–6 hours, tentatively from August 20, 2025, to October 21, 2025. The role involves teaching theoretical concepts, guiding hands-on projects, and mentoring students on real-world AI/ML applications. Skills Required : Foundational ML : Logistic Regression, SVM, Decision Trees, Ensemble Methods (Bagging, Random Forests), Boosting (Gradient Boosting, AdaBoost, XGBoost, LightGBM), PCA, Clustering (K-means, Hierarchical, DBSCAN), Market Basket Analysis, and Recommendation Systems. Deep Learning : ANN, CNN, RNN, LSTM, GRU, Transformers, GANs, Autoencoders, Diffusion Models (Stable Diffusion), and LLMs (e.g., GPT, BERT). Data Preprocessing : Standardization, normalization, encoding, train-test split, cross-validation, regularization (Lasso, Ridge, ElasticNet), and feature engineering. Generative AI : Text-to-image/audio/video generation, chatbots, sentiment analysis, and Retrieval-Augmented Generation (RAG) with FAISS. Web & Cloud Deployment : Building and deploying RESTful APIs using Flask/FastAPI, cloud computing with AWS (EC2, S3, Lambda) and Azure (Blob, App Services), and Streamlit for project deployment. Mathematics : Calculus, vector algebra, probability. Prompt Engineering : Zero-shot, few-shot, prompt tuning, and designing effective prompts. Case Studies : Hands-on projects (e.g., Bangalore housing prices, Breast cancer classification, Sales dataset). Qualifications : Education : Bachelor’s/Master’s in Computer Science, AI, ML, or related fields. Experience : 3–5 years in Machine Learning, Deep Learning, and Full Stack AI development, with hands-on experience in: Python and libraries like scikit-learn, TensorFlow, Keras, PyTorch. Generative AI (GANs, Diffusion Models, LLMs like GPT-2, LLaMA). Web development (Flask, FastAPI) and cloud deployment (AWS EC2, Azure). Tools like Hugging Face, FAISS, LangChain, and Streamlit. Teaching Skills : Prior teaching/training experience preferred, with the ability to explain complex topics (e.g., attention mechanisms, PCA) to undergraduate students. Certifications : Relevant certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer) are a plus. Logistics : Local Candidates (Hyderabad) : College bus transportation and lunch provided at the college hostel. Non-Local Candidates : Accommodation and food provided at the college hostel.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills Professional and open communication to all internal and external interfaces. Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Strong analytical skills. Industry Specific Experience 10 -18 Years of experience of AI/ML project execution and AI/ML research Education – Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence

Senior AI/ML Engineer Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements Key Responsibilities Develop and optimize machine learning models for various applications. Implement AI algorithms, including deep learning, neural networks, and natural language processing (NLP). Design and maintain data pipelines for model training and deployment. Collaborate with cross-functional teams to integrate AI solutions into products. Conduct research on emerging AI technologies and best practices. Ensure scalability, reliability, and efficiency of AI models in production environments. Troubleshoot and improve existing AI/ML systems. Required Skills & Qualifications - Experience: 3-8 years in AI/ML development. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks. Data Handling: Strong knowledge of data preprocessing, feature engineering, and model evaluation. Cloud & Deployment: Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Problem-Solving: Ability to analyze complex problems and develop AI-driven solutions.

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Job Title: Python & AI Developer Location: Mohali 8B Experience: 2–7 Years Job Summary: We are seeking a skilled Python & AI Developer to join our team. The ideal candidate will have strong experience in Python programming and hands-on expertise in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying AI-based applications and solutions. Key Responsibilities: Develop and maintain AI/ML models using Python. Work with large datasets: cleaning, processing, and analyzing data. Build predictive and classification models using algorithms like Regression, Decision Trees, SVM, CNN, RNN, etc. Deploy AI solutions into production environments using Flask, FastAPI, or other frameworks. Collaborate with data scientists, analysts, and backend engineers to integrate models into existing systems. Write efficient, reusable, and testable code. Stay up to date with the latest AI and machine learning trends. Required Skills: Proficient in Python and AI/ML libraries such as TensorFlow, Keras, PyTorch, scikit-learn, NumPy, Pandas. Strong understanding of AI/ML algorithms, deep learning, and statistical modeling. Experience with data preprocessing and model evaluation techniques. Familiarity with RESTful APIs, Flask/Django/FastAPI for model deployment. Knowledge of cloud platforms (AWS, GCP, Azure) is a plus. Good problem-solving and communication skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Experience with version control systems (e.g., Git). Familiarity with NLP, computer vision, or reinforcement learning is a bonus. Job Types: Full-time, Permanent Schedule: Day shift Monday to Friday Work Location: In person

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Lead Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 6+ years in machine learning, 4+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Senior Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 3+ years in machine learning, 2+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities - Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. - Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. -AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. - Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. -Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. -Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. -Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING

Technical Skills Background : Bachelors degree in computer science / information technology, or masters degree in Statistics, Economics, Mathematics. Demonstrated experience in independently driving business insights through data and AI. Technical Proficiency Hands-on experience with data tools (e.g., Oracle, SQL Server, MySQL, PostgreSQL, S3 buckets) with ability to work with large data sets. Expertise in writing complex SQL queries for data mining, data manipulation and analysis. Solid understanding of linear algebra, calculus, probability, and optimization techniques Familiarity with cloud database services (AWS RDS, Azure SQL Database) is a must. Solid understanding of atleast one of the areas below : Data Science (K means, Clustering, Multivariate Regression, Logistic Regression, ML algorithms such as RF, GBM / XgBoost, SVM, NLP algos such as TFIDF, Word2vec, LDA, Exploratory Analytics (T-tests), Decision Trees. Familiarity with frameworks like TensorFlow, PyTorch, and Scikit-Learn is a plus. ii. Data Engineering : (Data architecture principles, tuning database performance, including indexing, partitioning, and query optimization, implementing robust backup and recovery strategies, Java, C++, etc.). iii. Data Analysis and Visualization - (SQL, R, Python, Advanced Excel, VBA, React, Angular, Power BI, Tableau) Soft Skills Experience in project management, stakeholder management, and leading multi-disciplinary teams for atleast 3 - 4 years. Problem-Solving Skills Strong analytical and critical-thinking skills. Adaptability : Ability to adapt to innovative technologies and changing requirements Excellent written and oral communication skills with strong ability of Visual storytelling Self-driven individual with ability to be laser focused on delivering outcomes with speed and agility. (ref:hirist.tech)

JOB DESCRIPTION Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework Career Level - IC2 RESPONSIBILITIES Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework QUALIFICATIONS Career Level - IC2 ABOUT US As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

JOB DESCRIPTION Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework Career Level - IC2 RESPONSIBILITIES Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework QUALIFICATIONS Career Level - IC2 ABOUT US As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

JOB DESCRIPTION Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework Career Level - IC2 RESPONSIBILITIES Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework QUALIFICATIONS Career Level - IC2 ABOUT US As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

JOB DESCRIPTION Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework Career Level - IC2 RESPONSIBILITIES Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Linux Administrators experts based in India. If you are passionate about Oracle technology as well as cloud computing, this is the ideal role you’ve been waiting for. Our team supports technology which are available both on-premise and on Cloud. The Admin needs to have deep technical domain expertise, and will work closely with the Solution Architect team to help craft the solution and then continue to collaborate with the customer on Key Responsibilities: Installing, configuring and maintaining Linux Servers / Virtualization. Installation and configuration of HA environment using Linux cluster or Veritas Cluster. Configuration and administration of LVM and Veritas logical volume manager. Strong background and understanding of Linux and scripting. Daily maintenance/administration of multiple Unix systems Strong technical problem solving skills and experience in IP networking and static routing FTPSSH, SMTP, DNS, HTTP/S, DHCP, Syslog logging facility. Installation, set up, configuration and maintenance of Java Application Servers, Apache Web Servers, Cisco Firewalls, and Database Servers Assists with Veritas Backups and recovery. Configuration and maintenance of the monitoring system Experience in a high availability and mission critical environment. Experience with Firewalls (IPTABLES/IPCHAINS) Experience with SNMP/Nagios based Monitoring Experience in visualization and network attached storage Solid verbal and written communication skills. Team player and ability to work independently and effectively under pressure in a high paced and energetic environment Strong understanding of TCPIP, UDP and Multicast traffic. Understanding of SAN and NAS storage. Experience in System Fault Tolerance Design, Business continuity and Disaster recovery planning. Performance Management & fine tuning. Patch and Package administration Extensive experience in kernel patching and firmware upgradation. Troubleshooting Hardware and Operating system related issue Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, root & OS backups Experience in Server Experience on following will be added advantage Samba, DNS, NIS, Send mail / Exim / Postfix / Qmail, LDAP Knowledge on Vulnerability remediation Understanding of Qualys Proactively monitoring the Server s health and taking preventive or corrective action as required. NIC bonding using bonding kernel module. Sound experience in Linux LVM, VxVM and Solaris SVM Skills Needed Experience with RHEL Systems Manager and Subscription Manager Experience with virtualization of RHEL servers on ESX Hands-on experience with Bash Scripting and writing automation scripts for Operational tasks Hands-on experience with scripting tools, Ansible, Satellite and other automation tools Experience on AIX or Solaris OS would be an added advantage Well versed with ITIL framework QUALIFICATIONS Career Level - IC2 ABOUT US As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description In This Role, Your Responsibilities Will Be: Analyze large, complex data sets using statistical methods and machine learning techniques to extract meaningful insights. Develop and implement predictive models and algorithms to solve business problems and improve processes. Create visualizations and dashboards to effectively communicate findings and insights to stakeholders. Work with data engineers, product managers, and other team members to understand business requirements and deliver solutions. Clean and preprocess data to ensure accuracy and completeness for analysis. Prepare and present reports on data analysis, model performance, and key metrics to stakeholders and management. Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective Stay updated with the latest industry trends and advancements in data science and machine learning techniques Who You are: You must be committed to self-development means you must look for ways to build skills that you will need in the future. You must learn and grow from experience. Opportunities will be available and you must be able to stretch yourself to execute better and be flexible to take up new activities.. For This Role, You Will Need: Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred. Total 7-10 years of industry experience More than 5 years of experience in a data science or analytics role, with a strong track record of building and deploying models. Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with NLP, NLG, and Large Language Models like – GPT , BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy). Experience with machine learning frameworks and libraries such as Go, TensorFlow, PyTorch Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Experience with SQL and NoSQL databases such as MongoDB, Cassandra, Vector databases Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Excellent verbal and written communication skills, with the ability to present complex technical information to non-technical stakeholders. Preferred Qualifications that Set You Apart: Prior experience in engineering domain would be nice to have Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have Possession of relevant certification/s in data science from reputed universities specializing in AI. Familiarity with cloud platforms, Microsoft Azure is preferred Ability to work in a fast-paced environment and manage multiple projects simultaneously. Strong analytical and troubleshooting skills, with the ability to resolve issues related to model performance and infrastructure. Our Commitment to Diversity, Equity & Inclusion At Emerson, we are committed to fostering a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment contributes to the rich exchange of ideas and diversity of thoughts, that inspires innovation and brings the best solutions to our customers. This philosophy is fundamental to living our company’s values and our responsibility to leave the world in a better place. Learn more about our Culture & Values and about Diversity, Equity & Inclusion at Emerson . If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com .

Greetings from TCS! TCS is hiring for Data Scientist Desired Experience Range: 5 to 8 Years Job Location: Gurgaon / Bangalore Required Skill Set: R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++, Machine learning , Data Wrangling Must-Have: Python, Machine learning, data Wrangline Good-to-Have: Hadoop, Spark Expectations from the Role: 1. Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. 2. Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. 3. Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. 4. Hands-on experience with data science tools 5. Knowledge in Spark is added advantage 6. Knowledge in Hadoop is added advantage 7. Proven Experience as Data Analyst or Data Scientist 8. Experience in large scale enterprise application implementation 9. Creative Individual with a track record of working on and implementing innovative tech based solutions 10. Exceptional intelligence and problem solving skills Thank you Bodhisatwa Ray

Job Title: Sr. Data Engineer Location: Office-Based (Ahmedabad, India) About Hitech Hitech is a leading provider of Data, Engineering Services, and Business Process Solutions. With robust delivery centers in India and global sales offices in the USA, UK, and the Netherlands, we enable digital transformation for clients across industries including Manufacturing, Real Estate, and e-Commerce. Our Data Solutions practice integrates automation, digitalization, and outsourcing to deliver measurable business outcomes. We are expanding our engineering team and looking for an experienced Sr. Data Engineer to design scalable data pipelines, support ML model deployment, and enable insight-driven decisions. Position Summary We are seeking a Data Engineer / Lead Data Engineer with deep experience in data architecture, ETL pipelines, and advanced analytics support. This role is crucial for designing robust pipelines to process structured and unstructured data, integrate ML models, and ensure data reliability. The ideal candidate will be proficient in Python, R, SQL, and cloud-based tools, and possess hands-on experience in creating end-to-end data engineering solutions that support data science and analytics teams. Key Responsibilities Design and optimize data pipelines to ingest, transform, and load data from diverse sources. Build programmatic ETL pipelines using SQL and related platforms. Understand complex data structures and perform data transformation effectively. Develop and support ML models such as Random Forest, SVM, Clustering, Regression, etc. Create and manage scalable, secure data warehouses and data lakes. Collaborate with data scientists to structure data for analysis and modeling. Define solution architecture for layered data stacks ensuring high data quality. Develop design artifacts including data flow diagrams, models, and functional documents. Work with technologies such as Python, R, SQL, MS Office, and SageMaker. Conduct data profiling, sampling, and testing to ensure reliability. Collaborate with business stakeholders to identify and address data use cases. Qualifications & Experience 4 to 6 years of experience in data engineering, ETL development, or database administration. Bachelor’s degree in Mathematics, Computer Science, or Engineering (B.Tech/B.E.). Postgraduate qualification in Data Science or related discipline preferred. Strong proficiency in Python, SQL, Advanced MS Office tools, and R. Familiarity with ML concepts and integrating models into pipelines. Experience with NoSQL systems like MongoDB, Cassandra, or HBase. Knowledge of Snowflake, Databricks, and other cloud-based data tools. ETL tool experience and understanding of data integration best practices. Data modeling skills for relational and NoSQL databases. Knowledge of Hadoop, Spark, and scalable data processing frameworks. Experience with SciKit, TensorFlow, Pytorch, GPT, PySpark, etc. Ability to build web scrapers and collect data from APIs. Experience with Airflow or similar tools for pipeline automation. Strong SQL performance tuning skills in large-scale environments. What We Offer Competitive compensation package based on skills and experience. Opportunity to work with international clients and contribute to high-impact data projects. Continuous learning and professional growth within a tech-forward organization. Collaborative and inclusive work environment. If you're passionate about building data-driven infrastructure to fuel analytics and AI applications, we look forward to connecting with you. Anand Soni Hitech Digital Solutions

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Role: Lead Data Scientist. Location: Bengaluru, Karnataka. Mode : Work from Office Notice Period: Immediate to 20 days. Job Description The incumbent will be part of the Predictive Analytics, Digital Analytics, Data Sciences, Advanced Visualization, Insights & Experimentation team and will report to the Manager/Senior Manager. He/she will be an individual contributor working on multiple data sciences, advanced visualization and data management initiatives across multiple companies and industries leveraging traditional and big data. The incumbent will have the unique opportunity to witness the application of analytics across multiple industry verticals. Close partnership with business and the senior leadership of multiple Tata Companies will enable a clear understanding of the business perspectives and the application of analytics for solving real business problems. Key Responsibilities: • Apply AI| ML , Deep Learning, Computer Vision, Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions • Assess accuracy of new data sources and data gathering techniques • Perform Exploratory Data Analysis, detailed analysis of business problems and technical environments in designing the solution • Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms • Apply advanced Machine Learning Algorithms and Statistics: o Regression, Simulation, Scenario Analysis o Time Series Modelling o Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes o Clustering, K-Means, Apriopri o Ensemble Models - Random Forest, Boosting, Bagging o Neural Networks • Lead and manage Proof of Concepts and demonstrate the outcomes quickly • Document use cases, solutions and recommendations • Work analytically in a problem-solving environment • Work in a fast-paced agile development environment • Coordinate with different functional teams to implement models and monitor outcomes • Work with stakeholders throughout the organization to identify opportunities for leveraging organisation data and apply Predictive Modelling techniques to gain insights across business functions - Operations, Products, Sales, Marketing, HR and Finance teams • Help program and project managers in the design, planning and governance of implementing Data Science solutions Experience and Skills: • 8+ years of professional working experience in Analytics • Experience in Leading Team and Guiding through Project End to End Delivery. - Experience in Retail, Financial Services and Manufacturing • Experience using statistical packages of R, Python and Spark ML to work with data and draw insights from large data sets • Experience with distributed data/ computing tools: Hadoop, Hive, Spark, Python • Experience with SQL • Experience visualizing/ presenting data for stakeholders using matplot, ggplot or Excel or Tableau • Excellent written and verbal communication skills for coordinating across teams Education qualification: • Bachelors/ Masters in a quantitative discipline (Statistics, Econometrics, Mathematics, Engineering and Science)

Hi, Greeting from Skilldemand!!! We are looking for Senior ML/AI Developer for onsite location Hyderabad with 5 + years of experience in ML/AI. Please refer satyanarayanad@skilldemand.com if some one is looking for same Please find the below the JD for Read reference. Job Summary We are seeking a highly skilled ML/AI Developer to join our growing team in India. This role involves developing machine learning and deep learning models, building conversational AI applications, and deploying solutions using cloud-native tools. Roles & Responsibilities Design and deploy ML/AI models using CNN, RNN, Seq2Seq, and LLMs. Develop and fine-tune NLP-driven solutions and integrate them into chatbot platforms. Build chatbot solutions using Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Preprocess and engineer datasets using Python for training and evaluation. Deploy AI models and services using AWS or Azure. Collaborate cross-functionally with engineering, product, and DevOps teams. Explore and apply RLHF, prompt engineering, and newer AI optimization strategies. Follow Agile development methodology and participate in sprints. Required Skills & Qualifications Bachelor’s or Master’s in ML Engineering (preferred) or Data Science . 5–6 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN, SVM, Naive Bayes . Proven work with NLP , CNNs , LLMs , and deep learning architectures. Experience working with cloud platforms – AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework, Dialogflow, or OpenAI APIs. Knowledge of model versioning, monitoring, or MLOps practices. Bonus: Open-source contributions or AI research experience. Regards, Satyanarayana Dude Job Type: Full-time Pay: ₹640,654.61 - ₹2,500,000.00 per year Benefits: Health insurance Location Type: In-person Schedule: Night shift Location: Hyderabad, Telangana (Required) Shift availability: Night Shift (Required) Work Location: In person Speak with the employer +91 9849992568