2079 Reinforcement Jobs - Page 35

Job Summary/Overview: Join our mission to revolutionize education through data-driven innovation, where expertise will directly shape the future of learning. The organization seeks a visionary Research & Data Lead to oversee data-driven product growth initiatives. In this pivotal role, the incumbent will lead the charge in leveraging complex data to unlock new growth opportunities, optimize user engagement, and drive measurable improvements across the adaptive learning platform. This position will define the data strategy, build groundbreaking data products, and cultivate a culture of experimentation and excellence within the data & research team. Roles & Responsibilities: Statistical Modelling & EDA: Lead the design and implementation of advanced statistical models to deeply understand student learning behaviours, profile skills, and inform personalized product experiences that drive engagement and mastery. Drive comprehensive exploratory data analysis on large-scale educational datasets, translating complex patterns and insights into actionable product strategies and growth opportunities. Architect, build, and validate robust multivariate models (e.g., regression, SEM, HLM, Bayesian methods) to rigorously evaluate the causal efficacy of product interventions and inform data-driven product iteration. Algorithm Development & Deployment: Lead the optimization and innovation of Computerised Adaptive Testing (CAT) algorithms and personalized learning pathways to maximize user engagement, learning efficacy, and retention. Work with Psychometricians and Technology teams, to drive the integration of advanced psychometric frameworks with cutting-edge machine learning methods (e.g., classification, predictive analytics, reinforcement learning) to develop and deploy dynamic, AI-powered content recommendation systems that enhance user satisfaction and drive product growth. Cross-Functional Partnership: Serve as a strategic data partner and trusted advisor to Product, Engineering, Instructional Design, and Marketing teams, proactively embedding data-driven insights and experimentation into product roadmaps, feature prioritization, and growth initiatives. Champion data literacy and a culture of experimentation across the organization, translating complex analyses into compelling narratives and actionable recommendations that drive strategic business decisions and product outcomes. Lead, mentor, and inspire a high-performing team of researchers, fostering a culture of technical excellence, innovation, and continuous improvement through rigorous code reviews, knowledge sharing, and professional development. Research & Thought Leadership: Lead advanced research and simulation studies to continuously benchmark, refine, and innovate adaptive learning algorithms, ensuring the product remains at the forefront of educational technology and delivers superior user value and measurable growth." Actively monitor and integrate emerging trends and technologies in educational measurement, AI, ML, and product growth analytics, translating cutting-edge research into practical applications that drive competitive advantage and future product development. Experience Required: PhD or Master’s degree in Statistics, Mathematics, Data Science, or a closely related quantitative field Minimum 5+ years of progressive experience in data science, with at least 3-4 years in a leadership role driving data-driven product growth initiatives, preferably within EdTech or adaptive learning. Proven track record of leveraging advanced statistical modeling, and data driven analytics to inform product strategy, optimize user experiences, and achieve measurable business outcomes in an EdTech or adaptive learning environment. Extensive hands-on experience in designing, executing, and analyzing A/B tests and controlled experiments to drive product iteration and validate hypotheses. Exceptional ability to translate complex business problems and ambiguous product challenges into solvable data science initiatives and actionable product strategies. Demonstrated expertise in hypothesis generation, experimental design, causal inference, and synthesizing complex data into clear, impactful insights that directly drive product decisions and iteration. Outstanding communication skills, capable of articulating complex technical concepts and strategic recommendations to diverse audiences, including executive leadership, product managers, engineers, instructional designers, and non-technical stakeholders. Strong influencing skills, with the ability to build consensus, navigate organizational complexities, and drive data-informed decisions across cross-functional teams. Highly organized, outcome-oriented, and adept at managing multiple complex projects simultaneously in a fast-paced, agile development environment. Key Technologies & Methodologies: "Product Growth," "A/B Testing," "Experimentation," "Product Strategy," "KPIs," "User Engagement," "Retention," "Causal Inference," "Data Governance," "Ethical AI". Cognitive Diagnostic Model (CDM), Machine Learning, Artificial Intelligence, Mathematician, Statistician, Exploratory Data Analysis (EDA), Computerised Adaptive Testing (CAT), Python /R, SQL, Spark, Multivariate Analysis (SEM, HLM, Bayesian), Visualization tool like PowerBI/Quicksight, Educational Measurement, Simulation Studies.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities: Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Hands-on experience in AI and drive the development of innovative AI and machine learning solutions Experience in developing solutions in the NLP space and relevant projects Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities: Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's degree or higher in computer science engineering with a focus on language processing 6+ years of experience in AI/ML roles Experience with Azure development environments Experience with using and deploying LLMs Experience in developing solutions in the NLP space and relevant projects Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark or Scala Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Knowledge of NLP literature, thrust areas, conference venues, and code repositories Hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) DevOps Skills: Experience building and maintaining CI/CD pipelines Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc) Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc) Security and vulnerability management Familiarity with traditional software monitoring, scaling, and quality management (QMS) Preferred Qualifications: Experience deploying and maintaining ML models in production Experience with model observability tools for insights into the behavior, performance, and health of deployed ML models (tracking, alerting, compliance monitoring, etc) MLOps skills Familiarity with model versioning tools (MLFlow, etc) Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 36725 We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. Brief Summary Of Position And Team We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ) Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

Lead/Engineer - Civil Ø Supervise land levelling, grading, and clearing activities. Ø Ensure proper stormwater drainage planning and execution. Ø Verify soil compaction, anti-termite treatment (if required), and preparation for foundation works. Ø Execute module mounting structure (MMS) foundations (pile, RCC, or other types) as per design and drawing. Ø Supervise transformer foundations, control room buildings, inverter rooms, and HT yard civil works. Ø Conduct quality checks on reinforcement, shuttering, and concrete pouring (casting). Ø Plan and execute internal site roads, boundary walls/fencing, culverts, and gates. Ø Ensure proper approach roads for material movement and site access. Ø Supervise construction of permanent and temporary site infrastructure (stores, labor camps, office cabins). Ø Perform quality checks on raw materials (cement, sand, aggregate, steel). Ø Ensure execution complies with IS codes, drawings, and specifications. Ø Maintain records of cube test reports, slump tests, and other quality control documentation. Ø Issue and close Non-Conformance Reports (NCR) for civil deviations. Ø Interface with Electrical & mechanical teams for foundation and equipment placement. Ø Implement and ensure HSE (Health, Safety, Environment) guidelines on civil activities. Ø Supervise excavation, trenching, lifting operations, and concrete works safely. Ø Manage site environmental protection measures (dust suppression, soil erosion control). Ø Maintain daily progress reports (DPR), site activity photos, inspection checklists. Ø Update SAP/ERP systems (if applicable) for civil work status. Ø Report delays, deviations, and material shortages to Project Manager. Ø Oversee finishing works such as stone pitching, grouting, landscaping (if required). Ø Ensure readiness for electrical equipment installation (plinth level, clearances). Ø Prepare punch lists and ensure closure before project handover to O&M team.

Minimum of (3+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

GL Bajaj (Institute of Technology & Mgmt.) – A Glimpse! Passionate education provider in multi disciplines at undergraduate and postgraduate level (B.Tech, MBA, MCA) Vibrant Learning Ecosystem on the campus, has inspired and brilliant students. GL Bajaj Group was incepted in year 1997 , carrying a winning legacy of 12 institutions running diverse higher education programs. GL Bajaj Group, has +14,000 students, +800 faculty members , 12 institutions, and 6 campuses with +300 acres of land. NAAC A+ accredited, 4 stars from Ministry of Education, NIRF rank holder, Research & Incubation centre, Entrepreneurship development and top quality placement for students Vision to give globally competent & socially sensitive professionals to the society. Highly inquisitive students who take risks, experiment, and put novel ideas into action. Sharpens the Technical as well as Life Skills of students – Developing young leaders. Have world class collaborative LEARNING infrastructure for teaching & learning practices. Hiring Distinguished faculty members from the Institutes of repute . We nurture versatile INTRAPRENEURs . Our core belief is in nurturing Diverse, inclusive, equity knowledge gems Hi – Tech Campus has a beautiful , serene environment & students enjoy learning. Believes in relentless change and desire to improve . We are looking for passionate researchers/out of box thinkers/academicians who have a go-getter attitude, have fire to innovate , works with technology driven progressive mindset and execute the concept of sustainability in each task ( paperless ) in learning process delivery. We are offering to the right candidate an excellent compensation package along with the tools and the environment to foster intellect and new ideas. If you want to CONTRIBUTE meaningful to the society at large, join us & Find your SPARK! ABOUT JOB Designation: Assistant Professor Job Purpose & Role: To teach, research and serve the Institution for academic, institutional & student’s growth & development. WORK Responsibilities: LEARNING & TEACHING To develop and teach undergraduate and graduate courses in CORE Computer Science & Allied courses. Command on Subjects like: Programming Fundamentals via language C/C++, JAVA, Python Data Structures & Algorithms Operating Systems Computer Architecture & Organisation Object Oriented Programming (OOP) Software Engineering Design & Analysis of Algorithms Computer Networks, Compiler Designs, DevOps Artificial Intelligence, Machine Learning Deep Learning, Natural Language Processing, Computer Vision, or related areas. etc. Proven experience of teaching new age subjects like Cybersecurity, Big Data Analytics, IoT, Cloud Computing, Blockchain Technology, AVR (Augmented & Virtual Reality) with a commitment to innovative pedagogical approaches. Have an ability to stay abreast on the latest emerging trends and technologies in AI/AIML/DS such as reinforcement learning, generative models, or ethical AI. To stay abreast of developments in the field of AI through continuous learning, attending conferences, and networking with peers. Proven e xperience with software development and programming languages commonly used in AI research, such as Python, TensorFlow, PyTorch, or similar tools. To make best use of technology in teaching learning methodology. Proven experience of excellent delivery of the subject for the students by active or activity based learning, real-life problem solving approaches in content delivery and achieve the best results /awards/positions in the university. To fulfill responsibility concerning students in respect of instruction, progress, and examination. To prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students . To meaningfully engage students in class, seminars, workshops, conferences , events, applied subject knowledge projects. To ensure Quality (NBA, ISO, NAAC, NIRF) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids, Laboratory facilities and ensure understanding of education regulatory bodies like UGC / AICTE RESEARCH To conduct cutting-edge research in AI, Data Science, AIML, Core CSE , publish findings in reputable journals and conferences, and pursue external funding to support research activities. To supervise and mentor graduate students, providing guidance and support in their research endeavours To collaborate with industry partners to apply AI/AIML techniques to real-world problems and foster technology transfer. To have an ability to secure external research funding and lead research projects independently or collaboratively. Proven experience in working with interdisciplinary research teams or collaborating across departments. To facilitate in connecting industry with academia for providing hands on experience leading to skill development of students. To do quality research, have good academic record and books/research paper publications/IPR/patents record. To continue to develop one’s position as a leading researcher, including publication, external funding and the pursuit of other relevant indicators of standing in the field. GL Bajaj’s Citizenship and Ownership of Responsibilities To participate in continuing professional development e.g. through seminars or conferences and by engaging in training programmes run by the Institution which are consistent with the needs and aspirations of the academics. To support, mentor and facilitate seminars, training activities, cross-departmental activities and events and Ceremonies etc. To demonstrate the GL Bajaj’s values through own actions and behavior . To undertake such other duties as may be reasonably requested and that are commensurate with the nature and grade of the post. To engage in continuous personal and professional development in line with the demands of the role, including undertaking relevant training and development activities to develop themselves and support the development of others. To ensure and promote the personal health, safety and wellbeing of staff and students. To carry out duties in a way which promotes fairness in all matters , and which engenders trust. APTITUDE & SKILLS D.1 Functional Skills Passionate Academician/Researcher Competency of Nurturing Students Excellent interpersonal & content delivery skills. Ability to engage students constructively. Academic domain knowledge – National (UGC/NBA/NAAC/NIRF/AICTE etc.)/International Highly developed communication and presentation skills to present research findings at national and international conferences Ability to harness IT as a research and teaching tool A willingness to undertake further training as appropriate and to adopt new procedures as and when required Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment . Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback , while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia High emotional intelligence Qualification & Years of Experience as per AICTE/UGC norms: B.Tech & M.Tech – IT/CSE from Top tier Institutes & reputed universities like IITs, NITs, IIITs, IISc. Etc. and throughout first class 0-4 years of experience in teaching/ research PhD or PhD (Pursuing) candidates from Top Institutes will be preferred Industry Experience is desirable. Salary as per current norms Location: Greater Noida, Delhi/NCR Apply for the position by sending your CV on careers@glbitm.ac.in You may visit our website’s career page at www.glbitm.org

The purpose of this role is to set the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market and liaising with other channels to ensure an integrated response to people-based marketing objectives. Job Description: Job Description Summary We are seeking an experienced Advanced Analytics Senior Manager to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background, a passion for transforming complex data into actionable insights, an extensive experience into leading mid-to-large sized teams, and the ability to create, assess and implement RFPs, POCs, approaches and frameworks. Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor’s or Master’s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 10+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. Location: Coimbatore Brand: Merkle Time Type: Full time Contract Type: Permanent

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. Career Family Risk Management Services Role Type Lead Analyst 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. This is a role that requires incumbent to own & execute a variety of global processes related to compliance management across Service Lines and various workstreams in EY. The candidate should be comfortable working in an unstructured & complex environment requiring out of the box thinking, logical reasoning, sound verbal & written communication skills, ability to make prompt yet well informed decisions. Your Key Responsibilities: Technical expertise Support in the execution and reinforcement of compliance quality standards across the firm. Drive the continuous improvement of the compliance framework in collaboration with cross-functional teams. Proactively identify and resolve complex compliance-related issues, providing expert guidance. Oversee the creation and refinement of process documentation and compliance procedures. Develop, review, and update process documentation and compliance procedures. Design and implement robust compliance monitoring activities to ensure full compliance with internal and external regulations. Conduct compliance monitoring activities to ensure consistent adherence to internal policies and regulatory mandates. Client Management Drive business development & scope expansion conversations with the Global, Area and Regional Risk Management and Service Line Quality leadership Responsible for addressing & resolving service delivery issues / escalations People Management Manage performance of the team members from setting goals to assessing performance against goals to providing performance feedback Manage and address potential conflicts amongst the team members Work cohesively with the team to address their issues/concerns and maintain a positive working environment Ensure adherence to work-flow protocol and tools Coordinate training schedules for new and existing members of the team Coach and mentor team members for professional development and recommends training requirements to address perceived gaps Identify training, learning & development opportunities for the team members Skills and Attributes for Success: Demonstrated expertise in compliance and risk management. Advanced analytical skills with a strong focus on accuracy and detail. Excellent communication skills, with the ability to engage effectively with various stakeholders. Expertise in crafting and executing strategic quality plans. Strong analytical skills with a meticulous attention to detail. Manage day-to-day administrative issues & communicate appropriately to the stakeholders at GDS Strong project oversight and stakeholder management skills. Proficient in data analysis and performance reporting. Leadership qualities and the capacity to work effectively within and across teams. To Qualify for the Role, You Must Have: Post-graduate or equivalent post-graduate degree from a reputed institute At least 4 years of professional experience in a compliance role within a risk management framework. Deep understanding of global compliance regulations and the skill to implement them effectively in a business setting. Exposure of handling international client interaction Knowledge of artificial intelligence to drive process automation will be a plus Credible experience working in a fast-moving, client-driven environment A solution-oriented approach Flexibility to work in busy season (if required) Ideally, You’ll Also Have: Mastery of SharePoint and comprehensive MS Office capabilities. A track record of innovative problem-solving and team leadership. Experience in project management, with a history of driving process enhancements and operational efficiencies. Technologies and Tools Proficiency with industry-standard compliance management systems and tools. Experience with data analysis and reporting software. Knowledge of document management systems and best practices. Familiarity with risk assessment tools and methodologies. Eagerness to understand Service Quality Management (SQM) systems. What You Can Look For: A dynamic team environment with opportunities for professional growth. Exposure to global risk management initiatives. What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across five countries – Argentina, China, India, the Philippines, and Poland – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills, and insights that will stay with you throughout your career. Continuous Learning: You’ll develop the mindset and skills to navigate whatever comes next Success As Defined By You: We’ll provide tools and flexibility, so you can make a meaningful impact Transformative Leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs Diverse and Inclusive Culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. EY | Building A Better Working World About EY 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. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It’s yours to build. 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.

Role Description: This is a part-time remote role for an AI/ML Technical Lead. The AI/ML Technical Lead will be responsible for designing, developing, and deploying machine learning models and AI solutions. The ideal candidate will possess strong expertise in AI and machine learning technologies, including generative AI and AI agents. You will play a crucial role in designing and delivering AI solutions, mentoring the technical team, and ensuring successful project outcomes. This can be a long-term position for the right candidate. Key Responsibilities: Lead technical strategy, architecture, and implementation of AI/ML projects, including generative AI solutions and AI agents. Design and develop AI models, algorithms, and intelligent AI agents ensuring they meet performance, scalability, and accuracy goals. Provide technical oversight and mentorship to AI/ML engineers and junior developers. Conduct code reviews, maintain high-quality coding standards, and ensure best practices are followed. Stay abreast of industry developments, emerging technologies, and research to continuously enhance technical capabilities. Ensure robust testing, validation, and deployment processes for AI models. Skills & Qualifications: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. Strong proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain, and other relevant ML and generative AI frameworks. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform, and their respective AI services. Familiarity with tech stacks including Docker, Kubernetes, CI/CD pipelines, APIs, microservices architecture, databases (SQL, NoSQL), serverless computing, and big data technologies (e.g., Spark, Hadoop). Solid understanding of data structures, algorithms, and software architecture. Proven expertise in NLP, generative AI (e.g., LLMs, GPT-based models), AI Agents, computer vision, predictive analytics, reinforcement learning, or related AI domains. Knowledge of data privacy, ethical AI practices, and model explainability (XAI). Ability to adapt quickly, work under pressure, and deliver high-quality results in a fast-paced environment. Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) will be considered an added advantage.

What is Contentstack? Contentstack is on a mission to deliver the world's best digital experiences through a fusion of cutting-edge content management, customer data, personalization and AI technology. Iconic brands, such as AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi and Walmart, depend on the platform to rise above the noise in today's crowded digital markets and gain their competitive edge. Contentstack and its employees are dedicated to the customers and communities they serve. The company is recognized for its unmatched customer care and tradition of giving back globally through the Contentstack Cares program, including proud support of Pledge 1% and Girls Who Code. Learn more at www.contentstack.com. Who Are We? At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let's go! What Are We Looking For? We are seeking an experienced Machine Learning Engineer with 3-5 years of hands-on experience to join our team. The ideal candidate will design, develop, and deploy cutting-edge machine learning solutions, with a strong focus on modern GenAI techniques. You will work at the intersection of traditional ML engineering and emerging generative AI technologies, building scalable systems that leverage both conventional algorithms and state-of-the-art language models. Key Responsibilities ML System Development & Deployment Design and develop machine learning systems and self-running AI applications for predictive modeling and automation Build and optimize ML pipelines for data preprocessing, model training, and deployment using microservices architecture Implement and optimize machine learning algorithms using Python, with expertise in frameworks like TensorFlow, PyTorch, and scikit-learn Transform data science prototypes into production-ready solutions following SDLC best practices GenAI & Advanced Techniques Develop and implement Retrieval Augmented Generation (RAG) systems for grounding LLM outputs in external data Design and optimize prompt engineering strategies to enhance GenAI model performance Build multi-modal AI solutions that can process and generate content across text, images, and other data types- Implement advanced RAG techniques including context enrichment, and fusion retrieval Data Science & Analytics Perform statistical analysis and feature engineering to prepare datasets for model training Conduct data mining, cleaning, and preprocessing to ensure high-quality training data Analyze model performance metrics and implement strategies to improve accuracy and efficiency Software Engineering & DevOps Write robust, maintainable code following software engineering best practices Build RESTful APIs and microservices Technical Skills Programming & Frameworks Advanced proficiency in Python with experience in ML libraries (TensorFlow, PyTorch, Keras, scikit-learn) Strong understanding of software development lifecycle (SDLC) and Agile methodologies Experience with microservices architecture and RESTful API development Proficiency in NoSQL/SQL for data manipulation and retrieval Machine Learning & Data Science Deep understanding of ML algorithms including supervised/unsupervised learning, deep learning, and reinforcement learning Experience with data preprocessing, feature engineering, and model optimization techniques GenAI & Modern Techniques Hands-on experience with Large Language Models (LLMs) and transformer architectures Proficiency in prompt engineering techniques for optimizing GenAI outputs Experience implementing RAG systems using tools like LangChain or LlamaIndex Knowledge of multi-modal AI capabilities and cross-modal learning Cloud & Infrastructure Experience with cloud platforms (AWS, GCP, Azure) for ML model deployment Knowledge of containerization and orchestration technologies Preferred Qualifications Knowledge of advanced RAG techniques including query transformation and agentic architectures Contributions to open-source ML projects Soft Skills Excellent problem-solving and analytical thinking abilities Strong communication skills to explain complex ML concepts to non-technical stakeholders Ability to work collaboratively in cross-functional teams Self-motivated with a passion for continuous learning in the rapidly evolving AI landscape Education & Experience Bachelor's degree in Computer Science, Data Science, Mathematics, or related field Location - Chennai (Hybrid) Experience - 3 to 5 Years What Do We Offer? Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the "challenge yourself" role where you learn something new every day, never stop growing, and have fun while you're doing it. Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict "no a**hole policy" and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected. Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more! One Team One Dream | This is one of our values, and it shows. We don't believe in artificial hierarchies. If you're part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it's a great time to be joining… To review our Privacy Policy, please click here.

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems Skills Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks Proficiency in Python and R Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data mining and cleaning ML (Supervised/unsupervised learning) NLP techniques, knowledge of Deep Learning techniques include RNN, transformers End-to-end AI solution delivery AI integration and deployment AI frameworks (PyTorch) MLOps frameworks Model deployment processes Data pipeline monitoring Expert: (in addition to proficient skills) Languages/Framework: Azure Open AI Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search Databases and ETL: Azure Storage Account Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) Proficiency in deep learning frameworks (TensorFlow, PyTorch) Strong mathematical foundation (linear algebra, calculus, probability, statistics) Research methodology and experimental design Proficiency in data analysis tools (Pandas, NumPy, SQL) Strong statistical and probabilistic modelling skills Data visualization skills (Matplotlib, Seaborn, Tableau) Knowledge of big data technologies (Spark, Hive) Experience with AI-driven analytics and decision-making systems Skills: statistical modelling,data scientist,fastapi,nlp techniques,azure cloud basics,cosmos db,azure,ansible,sql,cosmos db (api for mongodb),unsupervised learning,gitlab pipeline,azure ui search api (react),reinforcement learning,modern testing,python,rex deployment,end-to-end ai solution delivery,ai-driven analytics,azure storage account,azure devops,open ai gpt family of models,transformers,data factory data bricks,numpy,data bricks,azure open ai,prompt engineering,etl,data pipeline monitoring,fast api,data factory,model deployment processes,tensorflow,data visualization (matplotlib, seaborn, tableau),pandas,ai integration and deployment,big data technologies (spark, hive),supervised learning,r,rnn,mlops frameworks,data mining and cleaning,pytorch,deep learning techniques

We are seeking highly enthusiastic Associate Mern Stack Developers who possess a strong aptitude for quickly comprehending and mastering new concepts, alongside a fervent passion for adopting emerging technologies. If you're eager to showcase your analytical skills through ambitious projects, we want you on our team! Title: Associate Full Stack Developer Location:Hyderabad(Gachibowli) Employment Type: Full time(Work from Office) Shift Timings: 2 PM to 11 PM IST Exp: 1 to 2 Years Key Responsibilities: ❖ Collaborate with the development team to design, develop, and maintain web applications from front-end to back-end. ❖ Develop and implement user-friendly interfaces using HTML, CSS, and JavaScript. ❖ Build efficient and scalable server-side applications using Node.js and Express.js. ❖ Work with databases, particularly MongoDB, to store and retrieve data. ❖Create responsive web designs and optimize the application for mobile and tablet devices. ❖ Troubleshoot and debug issues to ensure smooth functionality and user experience. ❖ Stay updated with emerging technologies and industry trends to continuously improve development practices. ❖ Actively participate in team discussions and contribute innovative ideas to enhance the overall development process. Required Skills: ❖ Proficiency in HTML, CSS, and JavaScript. ❖ Experience with MongoDB or other NoSQL databases. ❖ Strong knowledge of Express.js and Node.js frameworks. ❖ Familiarity with React.js for front-end development. ❖ Understanding of RESTful APIs and server-side programming. ❖ Knowledge of version control systems, such as Git. ❖ Familiarity with Agile development methodologies. ❖ Ability to work independently and in a team environment. ❖ Excellent problem-solving and analytical skills. ❖ Strong communication skills to effectively collaborate with team members. India Pvt Ltd 1stfloor, Phoenix Primea, Tower A, Road Number 2, Financial District, Nanakramguda Village, Serilingampally, Hyderabad, Telangana – 500032. Qualification/ Education: BE/B.Tech with a degree in Computer Science. Engineering, or related fields. About Techolution Techolution is a Product Development firm on track to become one of the most admired brands in the world for "innovation done r ight". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade A I to Real Wor l d AI.We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence. While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. 6. AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI. 7. FaceOpen : AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields. For our research centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics. We are seeking individuals passionate in areas such as LLMs, deep learning, natural language processing, machine learning, and reinforcement learning. Key Responsibility: Includes collaborating closely with research scientists and other team members to explore and advance Neural Machine Translation (NMT) research within the scope of the project, like translation of entertainment domain content in various Indian languages. Work Location: Remote Duration of the paid internship: 6 months starting fourth week of July 2025. 9:00 to 18:00 (Monday to Friday) fulltime. Essential Education: Ph.D. or Masters in Computer Science background or Bachelor’s with hands-on experience on Python with an applications in Language Processing. Must Have Skills: Background on Deep Learning and Reinforcement Learning Natural Language Processing Excellent coding skills, especially in Python and PyTorch Knowledge of the state-of-the-arts in LLM, Foundation Models, Neural Machine Translation. Good to Have Skills: Experience in Indian Language Machine Translation Strong mathematical aptitude Papers in top-tier conferences like ICML, NeurIPS, AAAI, ACL, NAACL OR EMNLP etc. Our Values: Dreams & Curiosity: Pioneer the future with dreams and curiosity. Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints. Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct. Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices. Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and implement AI and machine learning strategies for several healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Hands-on experience in AI and drive the development of innovative AI and machine learning solutions Experience in developing solutions in the NLP space and relevant projects Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Develop and run pipelines for data ingress and model output egress Develop and run scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions Identify technical problems and develop software updates and fixes Develop scripts or tools to automate repetitive tasks Automate the provisioning and configuration of infrastructure resources Provide guidance on the best use of specific tools or technologies to achieve desired results Create documentation for infrastructure design and deployment procedures Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor's degree or higher in computer science engineering with a focus on language processing 6+ years of experience in AI/ML roles Experience with Azure development environments Experience with using and deploying LLMs Experience in developing solutions in the NLP space and relevant projects Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP Proficient in Python and one of PySpark or Scala Familiarity with python tools for data processing Proficiency in libraries such as Hugging Face and OpenAI API Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering Knowledge of NLP literature, thrust areas, conference venues, and code repositories Hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) DevOps Skills: Experience building and maintaining CI/CD pipelines Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc) Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc) Security and vulnerability management Familiarity with traditional software monitoring, scaling, and quality management (QMS) Preferred Qualifications Experience deploying and maintaining ML models in production Experience with model observability tools for insights into the behavior, performance, and health of deployed ML models (tracking, alerting, compliance monitoring, etc) MLOps skills Familiarity with model versioning tools (MLFlow, etc) Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Overview Intuit is seeking a Staff Data Scientist to join our Data sciences in Intuit India. The Artificial Intelligence develops game changing technologies and experiments that redefine and disrupt our current product offerings. You’ll be building and prototyping algorithms and applications on top of the collective financial data of 100 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax. You thrive on ambiguity and will enjoy the frequent pivoting that’s part of the exploration. Your team will be very small and team members frequently wear multiple hats. In this position you will have close collaboration with the Intuit’s engineering and design teams, as well as the product and data teams across various business units. Your role will range from research experimentalist to technology innovator to consultative business facilitator. You must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management. What you'll bring Technical pre requisites MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.). At least 8+ years of experience with data science for MS or at least 4+ for PhD. Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn. Efficient in SQL, Hive, or SparkSQL, etc. Application building using LLM’s Comfortable in Linux environment Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining. Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Preferred Additional Experience Apache Spark The Hadoop ecosystem Java HP Vertica TensorFlow, reinforcement learning Ensemble Methods, Deep Learning, and other topics in the Machine Learning community How you will lead Perform hands-on data analysis and modeling with huge data sets. Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products. Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL. Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders. Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Work with a cross functional team of data scientists and product managers to develop strategies for our products that serve billions of people and millions of businesses Mentor other data scientists in the team

Graph Neural Network & Reinforcement Learning Engineer Location: Remote/Hybrid Job Type: Part-Time / Full-Time (Remote or Hybrid) Experience Required: 5 to 10 years About the Role : We are seeking a highly experienced Graph Neural Network & Reinforcement Learning Engineer for a cutting-edge PCB design automation platform. The ideal candidate will have hands-on experience training GCNN pipelines and RL agents for complex optimization problems in real-world applications. Key Responsibilities : Design and train Graph Convolutional Neural Network architectures for spatial reasoning tasks Develop and optimize Reinforcement Learning agents for constraint satisfaction problems Build robust data preprocessing pipelines for graph-structured engineering data Implement multi-objective optimization frameworks with competing constraints Validate model performance on real-world design problems and production datasets Collaborate with domain experts to translate engineering requirements into ML objectives Deploy trained models in production environments with performance monitoring Must-Have Skills : 5+ years training GCNN models using PyTorch Geometric, DGL, or similar frameworks Proven experience with RL algorithms : Policy Gradient, Actor-Critic, Q-learning implementations Graph data engineering expertise : adjacency matrices, node/edge features, graph sampling techniques Data curation skills : cleaning, augmentation, and preprocessing of structured engineering data Production ML experience: model versioning, A/B testing, performance monitoring Optimization experience : multi-objective problems, constraint handling, convergence analysis Proficiency in Python, PyTorch/TensorFlow, and distributed training setups Graph-Specific Training Experience : Experience training on large-scale graphs (10K+ nodes) with efficient batching strategies Knowledge of graph convolution variants: GCN, GAT, GraphSAGE Graph augmentation techniques : node dropout, edge perturbation, subgraph sampling Experience with heterogeneous graphs and multi-relational data Understanding of graph pooling and hierarchical graph representations RL Training Experience : Environment design and custom reward function engineering Experience with continuous and discrete action spaces Curriculum learning and progressive difficulty in training Distributed RL training and parallel environment execution Knowledge of exploration strategies and handling sparse rewards Preferred Qualifications : M.Tech/PhD in Computer Science, Machine Learning, or related field Experience with spatial optimization or placement problems Background in constraint satisfaction or combinatorial optimization Prior work on engineering automation What We Offer: Opportunity to apply cutting-edge ML to solve real engineering problems Direct impact on hardware design industry transformation Flexible work arrangements and competitive compensation Equity participation in high-growth startup

About Company: Our Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Client helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Client talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Client—based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT. Job Title: Java Developer Location: Remote Note: Candidate should be comfortable to work for US Shifts/Night Shifts Interview Mode: Virtual (Two rounds of interviews (60 min technical + 30 min technical & cultural discussion) Client: Turing Experience: 5+ yrs Job Type : Contract to hire. Notice Period:- Immediate joiners. Roles and Responsibilities: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Java Proficiency with Git, Docker , and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

Bangalore,Karnataka,India Job ID 769600 Join our Team About this opportunity: In this role you will report to GFGO Data office – Head of Data & Analytics – Strategy & Engineering and will be contributing to our efforts in both artificial intelligence (AI) and automation technologies, aligning with overall data strategy and business objectives. You will play a key leadership role in transforming raw data into actionable insights that drive business value. You will collaborate closely with cross-functional teams across the organization to identify key business challenges, design and implement innovative data-driven solutions, and effectively communicate your findings to both technical and non-technical audiences. What you will do: Partner with business stakeholders to understand their needs, translate them into technical requirements, and develop data-driven solutions. Communicate complex AI concepts to non-AI stakeholders (Data Domains, Enablers, etc.) and facilitate multi-functional collaboration. Establish and enforce data governance policies and procedures to ensure the ethical and responsible use of data in AI applications. Implement Objective Key Results to measure the performance and impact of AI and automation solutions & regularly report on the progress and success of AI initiatives to the Head of Data &AI Lead and manage complex data science projects from inception to deployment, ensuring successful delivery and impact on business objectives. Develop, implement, and optimize machine learning models and algorithms to solve real-world business problems. Perform data cleaning, wrangling, and transformation to ensure data quality and prepare it for analysis. Conduct exploratory data analysis (EDA) to uncover hidden patterns, trends, and insights within data sets. Develop clear and concise data visualizations to effectively communicate complex findings to both technical and non-technical audiences. Stay up to date on the latest advancements in data science methodologies and tools, and actively seek opportunities to incorporate them into our practices. Mentor and guide junior data scientists within the team, fostering a collaborative and learning environment. The skills you bring: PhD in Statistics, Computer Science, Mathematics, or a related field (or) master’s / bachelor’s degree with significant work experience. Minimum 5 to 12+ years of experience as a Data Scientist or similar role. Proven track record of successfully leading and delivering data science projects with tangible business impact. Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling. Proficiency in programming languages such as Python, R, and familiarity with big data processing tools (e.g., Spark, Hadoop) is a plus. Familiarity in developing and deploying E2E AI solutions in cloud platforms (Azure, AWS, GCP) Excellent communication and collaboration skills, with the ability to effectively translate complex technical concepts to a non-technical audience. Strong problem-solving skills and a passion for applying data science techniques to solve real-world problems. Ability to work independently and manage multiple projects simultaneously while meeting deadlines. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

It has been more than 60 years since SYSTRA has garnered expertise that spans the entire spectrum of Mass Rapid Transit System. SYSTRA India’s valuable presence in India roots back to 1957, where SYSTRA worked on the electrification of Indian Railways. Our technical excellence, holistic approach and the tremendous talent provides a career that puts people who join us at the heart of improving transportation and urban infrastructure efficiency. Understand better who we are by visiting www.systra.in CONTEXT In India, SYSTRA is an international consulting and engineering company operating in the fields of Metros, High Speed Rail, Railways, Roads, Buildings, Urban planning, and Water Infrastructure for public and private organizations. Our unique expertise is backed with a reputation built through technical excellence delivered on projects. Our fully integrated services are tailored to plan and manage projects using proven best practices. CTR – Regional Technical Centre of Systra India takes care of the international production of major projects at Systra Group level. CTR team has expertise in design of High-Speed Rail, Metro, Conventional Rail, Bridges, Highways, Depots, Stations and Transport Planning. Starting from Feasibility/Concept stage to Detailed Design to IFC/Shop drawings, the disciplines involved have experience of designing in accordance with various international codes and delivered projects across the world. CTR team has successfully delivered some major projects in UK, UAE, Tanzania, KSA, Australia, Canada and Denmark. One of the major achievements of India CTR team has been the design of HS2 project in UK. We played an instrumental role in delivering 3 major Sublots on HS2 with our teams proactively engaging with Front Office in UK and delivering beyond client expectations. This resulted in India team receiving many accolades from the contractor BBV and client HS2. CTR team in India is proficient in working on multi-disciplinary projects integrating Design, BIM and Drawing production in a seamless workflow incorporating different software. The technical and management teams within CTR get an opportunity to work and interact with other CTR teams within Systra Group from Paris, Poland, Dubai, Philippines and Brazil. We are seeking application for the position of Structural Design Engineer for Building Structures MISSIONS/MAIN DUTIES Develop and analyze structural designs for RC and steel structures, including Buildings (Industrial and Commercial), Foot overbridges (FOBs), UG Tanks etc. Perform detailed calculations for load distribution, stresses, and stability to ensure structural safety. Utilize advanced software tools (e.g., STAAD.Pro, ETABS, AutoCAD) for structural modeling and analysis. Prepare structural drawings, reinforcement detailing, and design calculations, covering conceptual to detailed design phase, ensuring compliance with technical codes standards and specifications. Ensure designs adhere to Indian and international codes and standards. Assist in the preparation of BOQs and technical specifications for tendering. Oversee quality assurance for drawings, reports, and calculation deliverables, ensuring alignment with client requirements. Ensure adherence to design standards and timely delivery of high-quality output. PROFILE/SKILLS Minimum 2–5 years experience in Structural Building Design with at least 1 year experience in International Projects. Bachelor’s/Master’s degree in Civil or Structural Engineering. Proficient in structural analysis software such as STAAD Pro, ETABS, Safe, Midas Civil, Midas Gen and AutoCAD. Experience with Building Information Modeling (BIM) tools like Revit. Good communication skills. Familiar with international project delivery and practices. We commit to put people who join us at the heart of improving transportation and urban infrastructure efficiency. As we are growing, this is time to be a part of this challenging adventure. It’s not a job - it’s a career! DÉTAIL DE L’ANNONCE Pays/Région : Inde Localisation : New Delhi - Faridabad, Noida, Ahmedabad, Kolkata, Bangalore Domaine : Etudes/Ingénierie Type de contrat : CDI Niveau d'expérience : 2-5 ans

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 36725 We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take initiative, get stuff done attitude and will help you unlock your growth potential. One great choice can change everything. Thrive with us at ZoomInfo. Enterprise Apps AI Center of Excellence (CoE) is a newly established team that operates with the agility of a startup to generate substantial value for Finance through Artificial Intelligence. Going beyond simple efficiency improvements, we focus on building innovative AI solutions that unlock new capabilities and insights for the CFO organization. Our mission is to transform finance processes, enhance strategic decision-making, and drive significant value using advanced AI applications. The team will be responsible for identifying, analyzing, developing, and deploying high-impact use cases. The ultimate goal is to empower the Office of CFO with cutting-edge AI, enabling more strategic and effective operations. As the Senior Engineer, you will lead our team in conceptualizing, developing, and deploying impactful AI solutions that revolutionize finance processes. You will be accountable for the entire AI solution lifecycle – from ideation and requirements gathering to development, implementation, and ongoing support. This role involves leading a geographically diverse team located in the US and India. Identify and POC efficiency opportunities for software development, software optimization / tech debt reduction, QA, UAT, Unit Testing, Regression Testing A critical aspect of this position is influencing the Finance business unit regarding potential AI features within the SAP ecosystem, leveraging our internal innovations to shape future solution offerings. What You'll do: Design and implement scalable full-stack solutions that integrate with finance business applications. Proactively research industry trends to identify and evaluate potential AI applications within finance operations. Analyze finance processes (Accounting, Accounts Receivable, Revenue Recognition, Tax, Financial Planning, etc.) specific to a SaaS company to identify areas for AI enhancement. Partner closely with Finance and Accounting teams to produce reliable data inputs for month-end close, revenue analytics, and key financial metrics like ARR. Determine the most critical and feasible AI use cases, considering technical requirements and data availability. Clearly articulate the potential ROI and benefits of proposed AI solutions. Develop compelling proposals that detail AI concepts, data-supported benefits, required resources, and the technical rationale. Lead the development and testing of AI initiatives, providing expertise in data analysis, machine learning methodologies, experimental design, solution architecture, and success measurement. Collaborate with technology, product, and data teams to seamlessly integrate validated AI solutions into existing finance workflows, clearly communicating technical details. Provide technical leadership and mentorship to the engineering team, fostering a culture of innovation and continuous learning. Utilize advanced statistical analysis and machine learning algorithms to address finance-related challenges and improve internal processes and strategies. Other Qualifications: Knowledge of finance functions (Accounting, FP&A, Tax, Procurement) within a SaaS business model. Understands unique financial considerations for SaaS. Solid understanding of statistical principles: hypothesis testing, regression analysis, time series forecasting, and other relevant techniques. Comprehensive knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their model selection, training, evaluation, and deployment. Understands data pipelines, data warehousing, and data governance for building and deploying ML models. Stays updated on the latest AI research and its potential applications in finance. Identifies strategic AI opportunities to improve finance functions. Develops clear implementation plans for AI initiatives. Quantifies potential financial benefits (ROI, cost reduction, efficiency gains) using data-driven forecasting. Clearly and effectively communicates complex AI/ML concepts to both technical and non-technical stakeholders, including model logic and performance metrics. Have a deep appreciation for data modeling, data correctness, integrity, and traceability, especially in regulated environments. Understand common patterns in financial reconciliation, anomaly detection, and structured data modeling. Enjoy partnering with Finance and Engineering stakeholders to translate operational requirements into clean, auditable datasets. What you bring: Minimum of 8 years hands-on experience in efficiently driving data science or machine learning use cases, with a primary focus in the domain of finance and accounting. Strong understanding of software development lifecycle (SDLC) and standard methodologies for coding, design, testing, and deployment. Bachelor's or Master’s degree in Computer Science, Software Engineering, or in Statistics, Applied Mathematics, or an equivalent quantitative field. Excellent technical, problem-solving, and communication skills. Ability to analyze and resolve difficult technical issues quickly in a high-pressure environment. Experience working and presenting proposals to executives in a clear and compelling way Technical Skills Strong proficiency in modern programming languages (e.g., Java, Python) and frameworks (e.g., React, Node.js). Exposure to integration platforms such Boomi Strong Excel skills (required). Experience with SQL, Tableau, or other BI tools for extracting and visualizing data is a plus. About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. What You’ll Do Design and develop creative, learner-centered, performance-based training materials in multiple modalities, including e-learning, blended learning content, videos, tutorials, etc Design and develop quality learning curriculums and instructional approaches to meet training requirements identified during needs analyses to address business-specific requirements and constraints Conduct interviews/learning needs assessments to identify knowledge and skills gaps, and relevant training requirements Ensures integrity of needs analysis, training requirements, training hierarchies, instructional materials, and evaluation plans Proactively looks for and shares the development and implementation of new learning models and content design templates Develop rapid and agile techniques and processes to create content for a frequently changing environment Continuously self-educate on the latest trends and practices in learning Provides expert consultation on learning techniques, instructional design theory, and learning reinforcement best practices Who You’ll Work With As a Curriculum Developer on our Services Enablement team, you will research, recommend, and produce a variety of complex, media-rich, and highly interactive courses to uplevel the knowledge and skills of our Global Services teams. As a core member of our Enablement team, this role will identify the right style and level of content for various audiences and have a track record of creating effective, innovative, and comprehensive hands-on self-study or expert-led learning experiences. In this role, you will collaborate with various teams within Teradata (including Sales, Marketing, Operations, and more). You are a confident, articulate professional experienced in creating engaging and effective learning utilizing various methods and tools. You thrive on quickly learning new content and topics with minimal direction and are translating that knowledge into easy-to-understand and innovative learning solutions. What Makes You a Qualified Candidate Candidate must have 5+ years of experience, preferably in curriculum development, instructional design, consulting, or other related disciplines. The candidate must have demonstrated experience with multiple types of learning solutions (including but not limited to e-learning courses, mobile learning, simulations, microlearning, ILT and vILT programs, and blended learning/flipped classroom). Bachelor’s degree required. Proven self-starter with the ability to juggle priorities, balance assigned work, and exceptional organization skills required for our constantly evolving environment Knowledge of instructional design practices and the study of the principles and techniques used in designing training programs, developing design strategy and models, and applying design methods to the improvement of instructional effectiveness Ability to align identified tasks and skills to learning objectives that are observable and measurable Creative problem-solver who can develop thoughtful, innovative solutions to unforeseen challenges Comfortable operating in new domains with high ambiguity and little direction Robust communication skills (verbal, written), including the ability to present, facilitate, and influence people at different levels in the organization Independent problem solver who will take initiative and execute work Must be deadline-driven, organized, detail-oriented, and able to multi-task Ability to work positively and collaboratively with team members at all levels What You’ll Bring These skills are a plus: Working knowledge of eLearning technologies, such as authoring tools (e. g. , Articulate 360, Captivate) and design/development tools (e. g. , SnagIt, Camtasia) Experience supporting sales and consultants in a complex enterprise sales environment Teradata invites all identities and backgrounds into the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military, and veteran status, or any other legally protected status. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Job Description We are seeking individuals with advanced expertise in Machine Learning (ML) to join our dynamic team. As an Applied AI ML Lead within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions, and experimenting with state of the art models. You will contribute to our innovative projects and drive the future of machine learning at AI Technologies. You will use your knowledge of ML tools and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new AI/ML solutions and productionize them. You will also mentor other AI engineers and scientists while fostering a culture of continuous learning and technical excellence. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen. Job Responsibilities Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques. Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest machine learning technologies, analyze results, and tune models. Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes Required Qualifications, Capabilities, And Skills Formal training or certification on AI/ML concepts and 5+ years applied experience Hans on experience in programming languages, particularly Python. Manage to apply data science and machine learning techniques to address business challenges. Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs). Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search). Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through. Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners Preferred Qualifications, Capabilities, And Skills Exposure with Ray, MLFlow, and/or other distributed training frameworks. MS and/or PhD in Computer Science, Machine Learning, or a related field. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Familiar in Reinforcement Learning or Meta Learning. Understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Exposure building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. About Us JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.