10848 Machine Learning Jobs - Page 34

We are seeking a highly skilled AI Lead Engineertechnical Consultant with expertise in designing and developing scalable, high-performance AI solutions. The ideal candidate will have extensive experience in artificial intelligence, machine learning, and generative AI and strong leadership skills to drive innovation and technical excellence. Essential Functions Collaborate with stakeholders, including project managers and technical leads, to define and understand business and technical requirements Design, develop, and optimize AI-powered applications, ensuring scalability, performance, and security Lead discussions on AI architecture, development best practices, and solution design Implement and fine-tune large language models (LLMs) and generative AI applications Apply prompt engineering techniques to enhance AI model interactions and outputs Develop and maintain clean, extensible, and maintainable code using modern programming languages Integrate Azure OpenAI, Copilot Studio, Azure AI Search, and other AI/ML platforms into enterprise solutions Apply debugging tools and analyze system logs to ensure high-quality code and system performance Drive continuous improvements through Agile development, CI/CD, and DevOps best practices Collaborate with cross-functional teams across different geographies to deliver AI-driven solutions that align with business objectives Must Have Skills Hands-on experience with Gen AI development, Prompt engineering, RAG design patterns, and multi-agent workflow automation and integration, preferably via Microsoft AI products like Copilot Exposure and experience working on large-scale data-intensive platforms Hands-on experience with Python and deep learning programming skills using PyTorch, TensorFlow, or similar Exposure to AI performance, consistency, and efficiency improvements Microsoft Specific Certification and Industry Certifications are a must-have Required Qualifications Bachelors degree in computer science, Engineering, or a related technical field 10+ years of technical engineering experience with expertise in at least one of the following programming languages: Python, C, C++, C#, Java, JavaScript Experience in Prompt Engineering and LLM fine-tuning Understanding of Azure OpenAI, Copilot Studio, Azure AI Search, and M365 Declarative Agent (Preferred) Experience in large language models (LLM) fine-tuning and prompt engineering Expertise in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn Experience with AI-driven applications, generative AI, and NLP models Hands-on experience with Agile methodologies and CI/CD pipelines for AI solutions Strong problem-solving skills, with the ability to handle complex and large-scale AI projects Effective communication and collaboration skills to work with remote and diverse teams Preferred Qualifications Experience with Machine Learning Platforms and Systems Prior experience working with Microsoft Cloud-based AI solutions Prior experience leading AI/ML teams and mentoring junior engineers

About Tarento: Tarento is a fast-growing technology consulting company headquartered in Stockholm, with a strong presence in India and clients across the globe. We specialize in digital transformation, product engineering, and enterprise solutions, working across diverse industries including retail, manufacturing, and healthcare. Our teams combine Nordic values with Indian expertise to deliver innovative, scalable, and high-impact solutions. Were proud to be recognized as a Great Place to Work , a testament to our inclusive culture, strong leadership, and commitment to employee well-being and growth. At Tarento, you ll be part of a collaborative environment where ideas are valued, learning is continuous, and careers are built on passion and purpose. Job Details: Experience: 8+ years of experience predominantly in data related disciplines such as data governance, data quality and data cleansing in oil and gas or financial services domain Roles & Responsibilities: Experience of working on data management tools such as Alation and MDG Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in designing processes for consistent implementation Good understanding of data visualization platforms such as Power BI, Tableau or Qlikview Exposure to data analytics, machine learning, artificial intelligence In-depth understanding of procurement, finance, customer business processes Solid knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums Partner with the business and program team teams to document business data glossary for assigned domain by capturing data definitions, data standards, data lineage, data quality rules and KPIs. Ensure the data glossary always remains up to date by following a stringent change governance. Ensure smooth onboarding for data owners and data stewards by providing them necessary trainings to carry out their role effectively. Engage with them on a regular basis to provide progress updates and to seek support to eliminate impediments if any. Extensive knowledge on Customer master and Material master Data by understanding integration with upstream and downstream legacy systems Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in crafting processes for consistent implementation Ensure adherence to policies related to data privacy, data lifecycle management and data quality management for the assigned data asset Build a rapport with business stakeholders, technology team, program team and wider digital solution and transformation team to identify opportunities and areas to make a difference through the implementation of data governance framework. Expert knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums Deep knowledge of SAP ERP and associated data structures Must have been part of large, multi-year transformational change across multiple geographies across multiple data domains Comfortable to interact with senior stakeholders and chair meetings/trainings related to data governance Soft Skills Active listening, communication and collaboration, presentation, Problem solving, , Stakeholder management Project management. Domain knowledge [Procurement, Finance, Customer], Business Acumen, Critical thinking, Story telling Awareness of best practices and emerging technologies in data management, data analytics space

Internal Title: Data Science Advisor External Title: Data Science Advisor Role Summary As a member of the Data Science Center of Expertise (DSCOE), the DS Advisor is responsible for leading and enabling Data Science within Cigna Group with demonstrable aptitude in Data Science (i) Technical Skills (ii) Leadership (iii) Scope & Impact (iv) Influence. Please see Qualifications section below for more details. The role will support the development and maintenance of machine learning models, with a focus on ensuring that models meet Cigna s requirements for governance and legal compliance. The role will require collaboration with other data scientists and involve work across many lines of business. Key Responsibilities: Analyze model performance of new models with specific regards to requirements for legal compliance and governance standards around accuracy and bias; Perform periodic analyses of performance of existing models to ensure continued compliance with internal and external standards for accuracy and bias; Conduct research (i. e. literature review) to understand when bias may be biologically or medically justifiable, and to what degree, for example: finding evidence from literature that heart disease is more prevalent among older populations Using machine learning development tools to mitigate model bias when this is determined to be necessary Collaborating with data scientists, business stakeholders, and governance/compliance teams to ensure models meet compliance and governance standards Qualifications: Bachelors or Masters/PhD (preferred) in statistics or computer science or equivalent field with 11-13 years of relevant experience Strong proficiency in ML, statistics, python or R, SQL, version control (e. g. , Git), health care data (e. g. , claims, EHR) Ability to promote best coding practices, championing a culture of documentation/logging Thorough understanding of ML lifecycle, including necessary tradeoffs and associated risks Leadership in Data Science Can own a project end-to-end e. g. , scoping, business value estimation, ideation, dev, prod, timeline Collaborates and guides junior team members in completion of projects and career development Works cross functionally with technical (e. g. , Data Science, Data Engineering) and business (e. g. , clinical, marketing, pricing, business analysts) to implement solutions with measurable value Scope and Impact Independently delivers clear and well-developed presentations for both technical and business audiences Creates data science specific project goals associated with project deliverables Articulates timeline changes, rationale, and goals to meet deadlines moving forward Values diversity, growth mindset, and improving health outcomes of our customers Level of Influence Communicate with stakeholders to identify opportunities and possible solutions based on business need Draft project charter, timeline, and features/stories Influence matrix-partner leadership About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

The Data Scientist with Gen AI role is designed for a highly analytical and technically skilled individual who excels in data-driven environments. The candidate should possess a strong background in Python programming, database management, and data science methodologies. This role primarily focuses on leveraging data to drive insights and decision-making. The core responsibilities of the role include a range of data science tasks, such as collecting and cleansing data, exploring, and visualizing insights, and applying statistical and mathematical analysis techniques. It involves developing and implementing machine learning and deep learning models, managing big data infrastructure, and executing data engineering tasks. Additionally, the role requires maintaining codebase integrity through version control and designing, creating, and supporting AI-driven products to deliver impactful AI solutions. Responsibilities include: Collecting and cleansing data from diverse sources for analysis, ensuring high-quality and relevant datasets (structured and unstructured) for effective decision-making. Exploring and visualizing data to uncover insights and trends, using advanced tools and techniques for meaningful data interpretation. Applying statistical and mathematical techniques to analyze data, providing robust analytical foundations for predictive modeling and inference. Developing and implementing machine learning and deep learning models Adaptation of foundation models/LLMs to address specific business challenges. Expertise in ML-Ops / AI-Ops Managing big data infrastructure and carrying out data engineering tasks, ensuring efficient data storage, processing, and retrieval. Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment. Designing, creating, and supporting AI-driven products, focusing on delivering scalable and impactful AI solutions that meet user needs and business objectives. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum four years of experience in IT industry using data science and generative AI skills High proficiency in Python programming, NLP techniques and experience using AI Framework (e.g. Hugging Face) Knowledge of SQL and NoSQL database management. Strong background in data science, statistics, mathematics, and analytical techniques. Expertise in machine learning and deep learning methodologies Working knowledge and application of foundation models in addition to Fine tuning of LLMs. Familiarity with big data technologies and data engineering practices. Experience with version control systems, particularly Git, and proficiency with GitHub for code collaboration and repository management. Are able to report and present results to a non-technical audience. This role is ideal for a candidate who is not only technically proficient in data science and generative AI but also skilled in integrating their analytical work with web technologies, cloud computing, and automation. The ability to communicate effectively, manage projects efficiently, and consider the ethical implications of data usage is crucial for success in this role. Preferred technical and professional experience Hands-on experience in data science for four plus years with minimum of 3 years of experience in deep learning Web development skills, including JavaScript and React, for creating sophisticated, interactive data-driven interfaces. Experience with cloud computing platforms (AWS/Azure/Google/IBM) to leverage advanced cloud-based services and infrastructure. Excellent communication skills, crucial for effective teamwork, stakeholder engagement, and clear presentation of data insights and technical concepts. Project management experience with a focus on agile methodologies, ensuring efficient, adaptive, and collaborative project execution. Awareness and understanding of ethical considerations in data science and AI, ensuring responsible and fair use of data and AI technologies.

Job Summary - The candidate will have a strong background in machine learning algorithms, deep learning frameworks, and practical experience building and deploying AI solutions. You will work closely with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. In this Role, Your Responsibilities Will Be: Design, develop, and deploy machine learning and deep learning models for various business applications. Lead and contribute to projects involving Generative AI, including large language models, image generation, and related technologies. Collaborate with data scientists, software engineers, and product managers to deliver end-to-end AI solutions. Analyze and preprocess large datasets to extract meaningful insights and features. Develop and implement predictive models and algorithms to solve business problems and improve processes. Evaluate and optimize model performance using appropriate metrics and techniques. Stay up to date with the latest advancements in AI/ML and Generative AI research and technologies. Document processes, models, and experiments for knowledge sharing and reproducibility. Drive continuous improvement through innovation, process optimization, and knowledge sharing. Participate in Agile ceremonies and contribute to sprint planning and retrospectives. Take ownership of deliverables and work independently when required. Who You Are: You are a self-directed and proactive professional who takes the initiative without waiting for detailed instructions, quickly adapts to new technologies and changing requirements, and strategically applies your knowledge to solve complex business problems. You continuously stay current with emerging AI trends, and drive innovation while maintaining a focus on code quality and best practices. For This Role, You Will Need: Bachelor s degree in computer science, Data Science, Statistics, or a related field or a Masters degree or higher is preferred. 3-4 years of experience in AI/ML project development with minimum 2 years hands-on experience with Generative AI (e. g. , GPT, Embeddings, Vector databases, Diffusion models) Proficiency in programming languages such as Python, and experience with data manipulation libraries (e. g. , pandas, NumPy, scikit-learn). Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Hands-on experience with LangChain, LlamaIndex, Hugging Face ecosystem, and prompt engineering techniques. Experience building Retrieval-Augmented Generation systems and semantic search applications. Experience developing and deploying ML models via REST APIs using FastAPI, Flask, or similar frameworks. Proficiency in TensorFlow, PyTorch, and familiarity with model fine-tuning and RLHF (Reinforcement Learning from Human Feedback). Experience with SQL and NoSQL databases (MongoDB, PostgreSQL) and Vector databases. Familiarity with CI/CD pipelines, Git, and Azure DevOps or similar tools. Preferred Qualifications that Set You Apart: Possession of relevant certification/s in data science from reputed universities specializing in AI. Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Effective verbal and written communication skills as well as good presentation skills. Our Culture & Commitment to You . .

NVIDIA s Deep Learning Institute (DLI) is looking for a senior technical training professional to lead DLI education and training activities in India. This position calls for someone capable of providing professional instruction in Predictive and Generative AI, Large Language Models (LLMs), and Omniverse as well as the ability to certify others to deliver this content. We need someone with an ambitious spirit - someone who can build and implement a vision of what DLI should be in India. This role presents an opportunity for a candidate with a capacity to learn quickly and exercise good judgment to further develop in-depth experience driving growth in GPU-accelerated neural networks and machine learning training within the developer community. What you ll be doing: Evaluating and certifying instructors to instruct DLI training content. Collaborating with local governments and universities in India to support the adoption of NVIDIA technologies into their AI curricula. Supporting training advisors by educating customers on GPU-accelerated AI solutions and providing recommendations for content aligned with their needs and goals. Contributing to course content via activities such as adding instructor notes, creating assessment guides, sharing instructor feedback with the content development team, and training others on new content. Conducting Train-the-Trainer workshops and promoting instructor achievements to build our community of Certified Instructors. Traveling up to 30%. What we need to see: 5+ years experience delivering technical training both online and in-person Professional experience working with government entities and universities Experience in at least one of the following areas: Predictive AI, Generative AI, LLMs, or Omniverse Experience building or using AI applications BS, CSE, CS or EE degree Customer facing skills and background Python or C / C++ programming experience Excellent oral / written English skills Ways to stand out from the crowd: Demonstrate to us effective presentation skills while training developers! Tell us about AI projects you have worked on and / or AI tools you have used. Highlight your work with government entities and universities. Share with us your GPU-based parallel programming expertise!

Remote Work: Hybrid Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about – locally and globally. We’ve only begun reimaging the future – for our people, our customers, and the world. Let’s create tomorrow together. A Data scientiest will be responsible for Designs, develops, programs and implements Machine Learning solutions , Implements Artificial/Augmented Intelligence systems/Agentic Workflows/Data Engineer Workflows, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse “big data” sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements. Responsibilities: Integrates state-of-the-art machine learning algorithms as well as the development of new methods Develops tools to support analysis and visualization of large datasets Develops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data, LLM), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders Analyze, review and track trends and tools in Data Science, Machine Learning, Artificial Intelligence and IoT space Interacts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineering Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models Working knowledge of MLOps, LLMs and Agentic AI/Workflows Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs Foundational Model Knowledge: Strong understanding of open-weight LLM architectures, including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation. Data Pipeline Development: Strong understanding of data engineering concepts, feature engineering, and workflow automation using Airflow or Kubeflow. Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes.Designs and implementation predictive and optimisation models incorporating diverse data types strong SQL, Azure Data Factory (ADF) Qualifications: Bachelors degree, Masters or PhD in statistics, mathematics, computer science or related discipline preferred 0-2 years Statistics modeling and algorithms Machine Learning experience including deep learning and neural networks, genetics algorithm etc Working knowledge with big data – Hadoop, Cassandra, Spark R. Hands on experience preferred Data Mining Data Visualization and visualization analysis tools including R Work/project experience in sensors, IoT, mobile industry highly preferred Excellent written and verbal communication Comfortable presenting to Sr Management and CxO level executives Self-motivated and self-starting with high degree of work ethic Position Specific Information Travel Requirements (as a % of time): <10% Able to telework? Yes/no – if yes, % of time and expectations while teleworking Yes, 70%. To visit Zebra site 2-3 days a week or every other week Personal Protective Equipment (PPE) Required (safety glasses, steel-toed boots, gloves, etc.): No U.S. Only – Frequency Definitions for Physical Activities, Environmental Conditions and Physical Demands: Never – 0% Occasionally - 0-20 times per shift or up to 33% of the time Frequently - 20-100 times per shift or 33-66% of the time Constantly - Over 100 times per shift or 66-100% of the time Physical Activities (all U.S. only jobs): Enter in N, O, F or C as applicable Enter in Frequency (N)Never, (O)Occasionally, (F)Frequently or (C)Constantly Ascending or descending ladders, stairs, scaffolding, ramps, poles and the like. Working from heights such as roofs, ladders, or powered lifts. N N Moving self in different positions to accomplish tasks in various environments including awkward or tight and confined spaces. N Remaining in a stationary position, often standing or sitting for prolonged periods. Stooping, kneeling, bending, crouching, reaching, pushing/pulling. N N Moving about to accomplish tasks or moving from one worksite to another. N Adjusting or moving objects up to __ pounds in all directions. N Communicating with others to exchange information. F Repeating motions that may include the wrists, hands and/or fingers. F (typing) Operating machinery and/or power tools. N Operating motor vehicles, industrial vehicles, or heavy equipment. N Assessing the accuracy, neatness and thoroughness of the work assigned. F Environmental Conditions (U.S. only): Enter in N, O, F or C as applicable Enter in Frequency (N)Never, (O)Occasionally, (F)Frequently or (C)Constantly Exposure to extreme temperatures (high or low). N Outdoor elements such as precipitation and wind. N Noisy environments. N Other hazardous conditions such as vibration, uneven ground surfaces, or dust & fumes. N Small and/or enclosed spaces. N No adverse environmental conditions expected. N Physical Demands (U.S. only): Check only one below Check only one below Sedentary work that primarily involves sitting/standing. X Light work that includes moving objects up to 20 pounds. Medium work that includes moving objects up to 50 pounds. Heavy work that includes moving objects up to 100 pounds or more (team lift) Must be able to see color. To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

Role & responsibilities Work with a talented group of data scientists, software developers and product owners to identify possible applications for AI and machine learning. Understand Cvent's product lines, their business models and the data collected. Perform machine learning research on various types of data (numeric, text, audio, video, image). Deliver machine learning models in a state that can be picked up by a software development team and operationalized via Cvent's products. Thoroughly document your work as well as results, to the extent that another data scientist can replicate them. Progressively enhance your skills in machine learning, writing production-quality Python code, and communication. Preferred candidate profile A Bachelor's degree in a quantitative field (natural sciences, math, statistics, computer science). At least 3 years of experience working as a data scientist in industry. In-depth familiarity with the Linux operating system and command-line work. Conceptual and technical understanding of machine learning, including model training and evaluation. Experience with formal Python coding. Proficiency in machine learning packages in Python. Familiarity with Generative AI based system development. Experience with relational databases and query-writing in SQL. Knowledge of linear algebra and statistics. Skills in data exploration and interpretation. It will be excellent if you also have: A Master's or PhD degree in a quantitative field. Experience with Databricks and/or Snowflake platforms. Ability to write production-quality Python code with testing coverage. Experience working on a cloud platform (AWS/Azure/Google Cloud), especially machine learning R&D on a cloud platform. Knowledge of the software development lifecycle, including Git processes, code reviews, test-driven development and CI/CD. Experience with A/B testing. Skills in data visualization and dashboarding. Knowledge of how to interact with a REST API. Proven ability for proactive, independent work with some supervision. Strong verbal and written communication. If you are a good fit for the role, please apply! Your resume should be no more than two pages in length.

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Commerce,Bachelor Of Comp. Applications Service Line Cloud & Infrastructure Services Responsibilities Contribute to the development through coding, testing and bug fixing Help team members in the development process Work on POCs to explore new features, techniques and solution Provide timely status to the managers Technical and Professional : Experience on Python in script and application development Experience in Python ML packages, Flask Experience on frameworks like TensorFlow, PyTorch Understanding of data structures, data modelling Database awareness – SQL, NOSQL, Vector Experience in integrating with Java based applications as well as front end application s Object oriented and functional programming Git, CICD pipeline Preferred Skills: Technology-Database Administration-NOSQL Administration-NoSQL Technology-OpenSystem-Python - OpenSystem-Flask Technology-Machine Learning-TensorFlow Technology-Machine Learning-Python

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education At least 5 years of experience in Pyspark, Spark with Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems in Data Pipeline creation , deployment , Maintenance and debugging Experience in scheduling and monitoring Jobs and creating tools for automation At least 4 years of experience with Scala and Python required. Proficient knowledge of SQL with any RDBMS. Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels. Ability to work within deadlines and effectively prioritize and execute on tasks. Preferred QualificationsAt least 1 years of AWS development experience is preferred Experience in Drive automations DevOps Knowledge is an added advantage. Additional Responsibilities: Advanced conceptual understanding of at least one Programming Language Advanced conceptual understanding of one database and one Operating System Understanding of Software Engineering with practice in at least one project Ability to contribute in medium to complex tasks independently Exposure to Design Principles and ability to understand Design Specifications independently Ability to run Test Cases and scenarios as per the plan Ability to accept and respond to production issues and coordinate with stake holders Good understanding of SDLC Analytical abilities Logical thinking Awareness of latest technologies and trends Technical and Professional : Primary Skills Pyspark, Spark and proficient in SQL Secondary Skills Scala and Python Experience 3 + Yrs Preferred Skills: Bigdata-Spark Bigdata-Pyspark Bigdata-Python

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Technical and Professional : Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Preferred Skills: Technology-Machine Learning-Generative AI

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Job Overview:As a Lead Computer Vision Engineer, you will lead the development and deployment of cutting-edge computer vision models and solutions for a variety of applications including image classification, object detection, segmentation, and more. You will work closely with cross-functional teams to implement advanced computer vision algorithms, ensure the integration of AI solutions into products, and help guide the research and innovation of next-generation visual AI technologies.2.Technical Skills: Deep Learning FrameworksProficiency in TensorFlow, PyTorch, or other deep learning libraries. Computer Vision ToolsExpertise in OpenCV, Dlib, and other image processing libraries. Model DeploymentExperience deploying models to production using platforms such as AWS, Google Cloud, or NVIDIA Jetson (for edge devices). AlgorithmsStrong understanding of core computer vision techniques like image classification, object detection (YOLO, Faster R-CNN), image segmentation (U-Net), and feature extraction. Programming LanguagesProficient in Python, C++, and other relevant programming languages for computer vision tasks. Data HandlingExperience working with large datasets, data augmentation, and preprocessing techniques. OptimizationSkills in model optimization techniques such as pruning, quantization, and hardware acceleration (e.g., using GPUs or TPUs). Additional Responsibilities: trong working experience in Agile environment - Experience working and understanding of ETL / ELT, Data load process - Knowledge on Cloud Infrastructure and data source integrations - Knowledge on relational Databases - Self-motivated, be able to work independently as well as being a team player - Excellent analytical and problem-solving skills - Ability to handle and respond to multiple stakeholders and queries - Ability to prioritize tasks and update key stakeholders - Strong client service focus and willingness to respond to queries and provide deliverables within prompt timeframes. Technical and Professional : Technology-Artificial Intelligence-Computer Vision Preferred Skills: Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities - Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines.- Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution.- Collaborate with CPU, GPU, and Neural Engine hardware backends to push inference performance and efficiency- Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models, including large language models- Automate data processing and extraction- Engage with sales team to find opportunities, understand requirements, and translate those requirements into technical solutions.- Develop reusable ML models and assets into production. Technical and Professional : - Excellent Python programming and debugging skills. (Refer to Pytho JD given below)- Proficiency with SQL, relational databases, & non-relational databases- Passion for API design and software architecture.- Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners- Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems.- Experience with modern large language model (Chat GPT/BERT) and applications.- Expertise with performance optimization.- Experience or knowledge in public cloud AWS services - S3, Lambda.- Familiarity with distributed databases, such as Snowflake, Oracle.- Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Preferred Skills: Technology-Big Data - Data Processing-Spark Technology-Machine Learning-R Technology-Machine Learning-Python

Educational Bachelor of Engineering Service Line Quality Responsibilities Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Machine Learning-AI/ML Solution Architecture and Design

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Additional Responsibilities: Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud Domain experience in Capital Markets, Banking, Risk and Compliance etc. Exposure to US/ overseas markets is preferred Azure Certified – DP100, AZ/AI900 Domain / Technical / Tools KnowledgeObject oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. Experience designing and implementing ML Systems & pipelines, MLOps practices Exposure to event driven orchestration, Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools (e.g., SQL, R & Python) High level understanding of database concepts/reporting & Data Science concepts Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ-900 Certification with Azure Architecture understanding is a plus Preferred Skills: Technology-Machine Learning-Python

Educational Bachelor of Engineering Service Line Strategic Technology Group Responsibilities Power Programmer is an important initiative within Global Delivery to develop a team of Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies., They will be ahead of the technology curve and will be constantly enabled and trained to be Polyglots., They are Go-Getters with a drive to solve end customer challenges and will spend most of their time in designing and coding, End to End contribution to technology oriented development projects., Providing solutions with minimum system requirements and in Agile Mode., Collaborate with Power Programmers., Open Source community and Tech User group., Custom Development of new Platforms & Solutions ,Opportunities., Work on Large Scale Digital Platforms and marketplaces., Work on Complex Engineering Projects using cloud native architecture ., Work with innovative Fortune 500 companies in cutting edge technologies., Co create and develop New Products and Platforms for our clients., Contribute to Open Source and continuously upskill in latest technology areas., Incubating tech user group Technical and Professional : Python+ Lamda+ AWS+Pyspark Preferred Skills: Technology-Big Data - Data Processing-Spark Technology-Machine Learning-Python Technology-Infrastructure Security-Reverse Malware Engineering-PANDA

Educational Bachelor of Engineering Service Line Strategic Technology Group Responsibilities Power Programmer is an important initiative within Global Delivery to develop a team of Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies., They will be ahead of the technology curve and will be constantly enabled and trained to be Polyglots., They are Go-Getters with a drive to solve end customer challenges and will spend most of their time in designing and coding, End to End contribution to technology oriented development projects., Providing solutions with minimum system requirements and in Agile Mode., Collaborate with Power Programmers., Open Source community and Tech User group., Custom Development of new Platforms & Solutions ,Opportunities., Work on Large Scale Digital Platforms and marketplaces., Work on Complex Engineering Projects using cloud native architecture ., Work with innovative Fortune 500 companies in cutting edge technologies., Co create and develop New Products and Platforms for our clients., Contribute to Open Source and continuously upskill in latest technology areas., Incubating tech user group Technical and Professional : Bigdata Spark, scala, hive, kafka Preferred Skills: Technology-Big Data-Big Data - ALL Technology-Big Data - Hadoop-Hadoop Technology-Big Data-Hbase Technology-Big Data-Sqoop Technology-Java-Apache-Scala Technology-Functional Programming-Scala Technology-IOT Platform-Custom IOT Platform – Big Data Processing Analytics

Educational Bachelor of Engineering Service Line Strategic Technology Group Responsibilities Power Programmer is an important initiative within Global Delivery to develop a team of Full Stack Developers who will be working on complex engineering projects, platforms and marketplaces for our clients using emerging technologies., They will be ahead of the technology curve and will be constantly enabled and trained to be Polyglots., They are Go-Getters with a drive to solve end customer challenges and will spend most of their time in designing and coding, End to End contribution to technology oriented development projects., Providing solutions with minimum system requirements and in Agile Mode., Collaborate with Power Programmers., Open Source community and Tech User group., Custom Development of new Platforms & Solutions ,Opportunities., Work on Large Scale Digital Platforms and marketplaces., Work on Complex Engineering Projects using cloud native architecture ., Work with innovative Fortune 500 companies in cutting edge technologies., Co create and develop New Products and Platforms for our clients., Contribute to Open Source and continuously upskill in latest technology areas., Incubating tech user group Technical and Professional : Python+ Lamda+ AWS+Airflow Preferred Skills: Technology-Cloud Platform-AWS Database-AWS Technology-OpenSystem-Python - OpenSystem-Python Technology-Machine Learning-Python

Educational Bachelor of Engineering Service Line Quality Responsibilities Responsibilities:- Assess the complete ML development process.- Data Engineering- Evaluate the maturity level of ML systems.- Software Development- Provide recommendations for improvement - DevOps- Implement and maintain CI/CD pipelines for ML models. - Monitor and manage model performance in production. Technical and Professional : - 3+ years in MLOps or related roles - Data Science- Hands-on experience with ML model deployment and monitoring - System Administration- Proven track record of implementing CI/CD pipelines - Automation Tools- Experience with version control systems (Git). Preferred Skills: Technology-Machine Learning-MLOps

Required Skills Technology | Infrastructure Monitoring Tool - Splunk Domain | IT in Banking | Customer Support Behavioral | Aptitude | Communication Education Qualification : Any Graduate (Engineering / Science) Certification Mandatory / Desirable : Technology | SESC/SE As a Level 3 Splunk Administrator, you will be responsible for advanced configuration, optimization, and management of Splunk environments for data analytics, log management, and security monitoring. You will lead the development of strategies, provide expert support, and ensure the effectiveness of our Splunk solutions. Key Responsibilities: 1. Splunk Environment Design and Optimization: - Lead the design, architecture, and advanced optimization of Splunk Enterprise, Universal Forwarders, and Splunk apps. - Customize Splunk settings, indexes, and data sources for maximum performance, scalability, and reliability. 2. Data Ingestion and Indexing: - Design and implement advanced data ingestion strategies from various sources into Splunk, ensuring data quality and reliability. - Oversee data indexing and categorization for efficient search, analysis, and correlation. 3. Advanced Searches and Alerts: - Perform complex searches, queries, and correlations in Splunk to retrieve and analyze data. - Configure advanced alerts, notifications, and incident response workflows for comprehensive security and performance monitoring. 4. Data Analysis and Reporting: - Utilize advanced data analysis techniques, statistical analysis, and machine learning to derive actionable insights from Splunk data. - Create advanced reports, dashboards, and predictive analytics for improved data analysis and incident management. 5. Automation and Scripting: - Develop and maintain advanced automation scripts and apps using Splunk SPL, REST API, and other relevant technologies to streamline data collection and incident response. - Implement automation for proactive issue resolution and resource provisioning. 6. Documentation and Knowledge Sharing: - Maintain comprehensive documentation of Splunk configurations, changes, and best practices. - Mentor and train junior administrators, sharing expertise, best practices, and providing advanced training.

The Opportunity: ArisGlobal is seeking a Associate Director - Product Management - Agentic AI to both create and grow a strategic revenue-generating product line within our Agentic AI solutions platform. In this role, you will translate high-priority opportunity areas into products, iterating quickly toward validated outcomes. You ll combine practical product leadership with commercial thinking, leveraging your understanding of emerging AI opportunities to inform our broader platform trajectory. This is a customer-facing, zero-to-one build role, ideally suited to someone with a background in data-driven decision support and insight generation, combined with experience of developing Agentic AI propositions. Key Responsibilities: Product Creation, Management & Growth: Drive the zero-to-one product build, leveraging entrepreneurial DNA and experience with lean startup, design thinking, service design, and other relevant methodologies. Translate strategic priorities into roadmaps, MVP definitions, user stories, and delivery plans. Operate with autonomy and pace, taking new products from concept through early validation to scale. Identify opportunities to increase revenue, lower operational costs, and improve customer retention by analyzing product performance and customer feedback. Customer Development: Engage with key stakeholders in life sciences to validate need, value, and usability. Run lean product discovery cycles across hypothesis-driven themes. Serve as a key external representative of the product trusted, credible, and customer-aware. Cross-Functional Collaboration: Work collaboratively across internal teams including Engineering, Sales, Services, and Marketing to ensure alignment on product priorities, effective go-to-market execution, and customer adoption. Work, as needed, with key external partnerships, as required to build out and commercialise new propositions. Clearly communicate product vision and benefits to internal stakeholders, enabling effective product launches and adoption strategies. Why Join Us?: You ll help build one of the most strategic products within a bold new wave of Agentic AI capabilities. This is a rare chance to take full product ownership, drive innovation with real customer impact, and work within a supportive team that s moving fast to shape the future of AI-powered development in life sciences. Skill Requirements: Required: 12+ years of experience in Product Management in B2B2C, B2B, or B2C space. 3+ years in AI-focused product management in B2B2C, B2B, or B2C space. Good experience in Agentic AI Experience working closely and driving product requirements for Data Engineering, ML Engineering, and Data Science teams. Proven track record of launching AI-driven enterprise SaaS solutions at scale. Deep curiosity and awareness of emerging AI technologies and trends, along with an ability to conceptualize how they can drive practical business value. Analytical mindset, skilled at using metrics to drive product decisions and continuously improve user experience. Strong communication skills, comfortable translating complex ideas into clear business value for diverse stakeholders. Proven ability to prioritize and execute effectively in dynamic environments. Entrepreneurial DNA, with experience in zero-to-one product builds and methodologies such as lean startup, design thinking, and service design. Preferred: Prior experience building AI products or platforms designed to automate or augment enterprise workflows. Understanding of modern platform architectures, scalability, and performance considerations for AI-driven products. Formal degree in a technical field such as Machine Learning, Statistics, or Computer Science. Familiarity with core AI platform elements and knowledge of AI tooling stack across one/many public cloud and data vendors. Experience managing large, technically complex product programs spanning multiple teams. A high degree of independent drive. Experience in contextual intelligence, information design, and insight generation.

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities We are looking for smart, self-driven, high energy people with top notch communication skills, intellectual curiosity and passion for technology in Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (Financial Services), strong business acumen and excellent soft skills & Exposure to Technology. Technical and Professional : Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud Domain experience in Capital Markets, Banking, Risk and Compliance etc. Exposure to US/ overseas markets is preferred Azure Certified – DP100, AZ/AI900 Domain / Technical / Tools KnowledgeObject oriented programming, coding standards, architectur Preferred Skills: Technology-Machine Learning-MLOps

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional : Primary skills:Technology-Machine Learning-Python Preferred Skills: Technology-Machine Learning-Python

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. Key Responsibilities Communicates findings to team and leadership and ensures models are well understood and incorporated into business processes Uses best practices, with coaching, to develop statistical, machine learning techniques to build models that address business needs and executes on modeling/machine learning projects effectively, contributing to a wide variety of projects Innovates on projects by using new modeling techniques or tools Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling Education Masters Degree (Preferred) Experience 2 or more years of experience (Preferred) Supervisory Responsibilities This job does not have supervisory duties. Education & Experience (in lieu) In lieu of the above education requirements, an equivalent combination of education and experience may be considered. Primary Skills Artificial Intelligence Markup Language, Business Acumen, Business Case Analyses, Data Analytics, Waterfall Project Management Shift Time Shift B (India) Recruiter Info Annapurna Jha [email protected] About Allstate The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition. Learn more about Allstate India here.

Educational Bachelor of Engineering Service Line Quality Responsibilities Responsibilities:1.Design and Implement Chaos Experiments Candidates need to Develop and execute chaos experiments to simulate real-world failures and identify vulnerabilities in our systems. Define clear objectives, hypotheses, and success metrics for each experiment. Document experiment procedures, results, and lessons learned.2.Experience in using Chaos Engineering Tools(the below highlighted tools are mandatory skills. Combination of multiple tools is added advantage.) Candidate should be proficiently use and manage chaos engineering tools such as Chaos Monkey, Gremlin, ToxiProxy, Chaos Mesh, Chaos Blade, Azure Chaos Studio, and AWS Fault Injection Simulator, and any other chaos engineering tools.3.Cloud Platform Chaos Engineering Design and execute chaos experiments within cloud environments (Azure, AWS and GCP) using Azure Chaos Studio and AWS Fault Injection Simulator or any other Chaos Engineering tool.4.Documentation and Reporting Maintain detailed documentation of chaos experiments, procedures, and results. Generate reports and present findings to stakeholders. Preferred Skills: Technology-Machine Learning-Python Technology-Cloud Platform-Azure IOT Technology-Cloud Platform-GCP Devops