40 Supervised Learning Jobs - Page 2

As a Senior Data Scientist with 5+ years of experience, you will be responsible for designing and implementing models, mining data for insights, and interpreting complex data structures to drive business decision-making. Your expertise in machine learning, including areas such as NLP, Machine vision, and Time series, will be essential in this role. You will be expected to have strong skills in Model Tuning, Model Validation, Supervised and Unsupervised Learning, and hands-on experience with model development, data preparation, training, and inference-ready deployment of models. Your proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis will help in developing code for reproducible analysis of data. Experience with AWS services like Sagemaker, Lambda, Glue, Step functions, and EC2 is necessary, along with knowledge of Databricks, Anaconda distribution, and similar data science code development and deployment IDEs. Your familiarity with ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis will be highly valued. You should have expertise in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. End-to-end model deployment and production experience of at least 1 year is required, along with a good understanding of Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker. Basic knowledge of deep learning algorithms such as MaskedCNN, YOLO, and familiarity with Visualization and analytics/Reporting Tools like Power BI, Tableau, and Alteryx will be considered advantageous for this role.,

You will be combining your expertise in mathematics, statistics, computer science, and domain knowledge to create AIML models that can effectively address various business challenges. Your role will involve collaborating closely with the AI Technical Manager, GCC Petro technical professionals, and data engineers to integrate these models into the business framework. You will be responsible for identifying and framing opportunities to apply advanced analytics modeling and related technologies to data, thereby helping businesses gain insight, improve decision-making, workflow, and automation. In this position, you will need to understand and communicate the value of proposed opportunities with team members and other stakeholders. Identifying the necessary data and appropriate technology to solve the identified business challenges will be a crucial aspect of your responsibilities. You will also be involved in cleaning data, developing, and testing models, as well as establishing the life cycle management process for these models. Additionally, you will provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills. Driving innovation in AIML to enhance capabilities in data-driven decision-making will be a key focus area. You are expected to align with the team on shared goals and outcomes, recognize others" contributions, work collaboratively, seek diverse perspectives, and take actions to develop yourself and others beyond existing skill sets. Furthermore, you should encourage innovative ideas, adapt to change and changing technologies, and effectively understand and communicate data insights and model behaviors to stakeholders with varying levels of technical expertise. **Required Qualifications:** - Minimum 5 years of experience in designing and developing AIML models and/or various optimization algorithms (5 to 9 years of experience) - Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g., supervised and unsupervised learning, statistics, data science model development) - Proficiency in Python and working knowledge of cloud AIML services; Azure Machine Learning and Databricks preferred - Domain knowledge relevant to the energy sector and working knowledge of the Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows - Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis for purposes of data cleaning and discovery, visualize data, and identify actions to reach needed results - Ability to quickly assess the current state and apply technical concepts across cross-functional business workflows - Experience with driving successful execution deliverables and accountabilities to meet quality and schedule goals - Ability to translate complex data into actionable insights that drive business value - Demonstrated ability to engage and establish collaborative relationships both inside and outside the immediate workgroup at various organizational levels across functional and geographic boundaries to achieve desired outcomes - Demonstrated ability to adjust behavior based on feedback and provide feedback to others - Team-oriented mindset with effective communication skills and the ability to work collaboratively - Strong problem-solving skills and attention to detail - Excellent communication and collaboration skills,

Are you our Type Monotype, named "One of the Most Innovative Companies in Design" by Fast Company, is dedicated to bringing brands to life through type and technology that consumers engage with daily. With a rich legacy spanning centuries, Monotype boasts a library featuring renowned typefaces like Helvetica, Futura, and Times New Roman, among others. Additionally, Monotype offers a pioneering service that enhances access to fonts for creative professionals, facilitating their discovery, licensing, and utilization in today's digital landscape. Collaborating with major global brands and individual creatives, Monotype provides a diverse range of solutions to streamline the design of captivating brand experiences. Monotype Solutions India serves as a strategic center of excellence for Monotype, recognized as a certified Great Place to Work for three consecutive years. The center's rapid growth encompasses various domains such as Product Development, Product Management, Experience Design, User Research, Market Intelligence, AI and Machine Learning research, Innovation, Customer Success, Enterprise Business Solutions, and Sales. Headquartered in the Boston area with a global presence across 4 continents, Monotype stands as the world's leading font company, trusted by the top brands worldwide and acknowledged as One of the Most Innovative Companies in Design by Fast Company. Monotype is a pioneering technology company at the forefront of AI innovation in fonts. We are currently seeking a motivated and curious AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will be instrumental in designing and implementing state-of-the-art AI/ML solutions to address real-world challenges. This position is based in the Delhi NCR area. **What you will be doing:** - Designing, developing, and testing AI/ML models using supervised and unsupervised learning techniques. - Preparing and pre-processing data for model training and evaluation. - Collaborating with data scientists and engineers to define project requirements and success metrics. - Deploying and monitoring models in production environments. - Staying updated with the latest advancements in AI/ML research and development. **What we are looking for:** - Bachelor's degree in computer science, mathematics, statistics, or a related field. - Strong grasp of machine learning concepts, algorithms, and techniques. - Knowledge or understanding of deep learning frameworks (TensorFlow, PyTorch) and programming languages (Python, R). - Familiarity with data wrangling and manipulation tools (pandas, NumPy). - Excellent communication and collaboration skills. - A keen interest in continuous learning and exploring new technologies. **Preferred Skills:** - Strong understanding of computer vision, natural language processing, and other AI-related domains. - Knowledge or understanding of generative AI models, particularly Stable Diffusion. - Published research papers or contributions to the AI/ML community are advantageous. - Knowledge or understanding of building and deploying ML pipelines. Monotype is expanding globally, and proficiency in one or more of the following languages (German, Japanese, French, Spanish) is desirable but not mandatory for this role.,

Job ID: 21570 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 27 Mar 2025 Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Key Responsibilities Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Groups Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Banks Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology with certification in AI and ML 5-12 years relevant of Hands-on Experience in developing and delivering AI solutions About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers,

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role youll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field; a Masters is a plus 6--8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications

Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, machine_learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. Were looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering Were looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) WHAT YOU WILL DO- Build and optimize machine learning models from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform BASIC SKILLS Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. ADVANCED SKILLS Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic

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: Assist in developing and implementing machine learning models for healthcare applications Work with structured and unstructured data to build predictive and analytical models Collaborate with cross-functional teams including data engineers, product managers, and domain experts Support the development and maintenance of data pipelines for model training and inference Contribute to the deployment and monitoring of ML models in production environments Apply standard ML and NLP techniques such as classification, entity recognition, and text summarization Use tools and frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face for model development Write clean, efficient code in Python and use version control tools like Git Document model development processes and results clearly for both technical and non-technical stakeholders 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: Bachelors degree in Computer Science, Engineering, Data Science, or a related field 2+ years of experience in data science, machine learning, or analytics Hands-on experience with ML and NLP techniques such as supervised learning, deep learning, and text classification Proficiency in Python and familiarity with libraries like Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch Familiarity with data processing tools such as PySpark or SQL Proven solid problem-solving skills and ability to work in a collaborative environment Preferred Qualifications: Experience working with cloud platforms (e.g., AWS, Azure, or GCP) Understanding of APIs and basic web frameworks like Flask or FastAPI 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. #njp #SStech #SSF&A

About the job: Key responsibilities: 1. Oversee daily factory floor operations ensuring efficient adherence to production schedules 2. Monitor worker performance and ensure compliance with production plans and safety protocols 3. Guide and supervise workers in furniture assembling, cutting, and finishing tasks 4. Train workers on operational methods and proper machine usage 5. Take accurate measurements of raw materials and finished furniture items 6. Inspect production outputs at various stages to meet design and quality standards 7. Ensure correct usage and routine maintenance of modular furniture manufacturing machines (CNC, edge banders, panel saws) 8. Identify machine issues and coordinate with technicians for timely repairs 9. Assist in workflow planning and resource allocation for optimized production 10. Prepare and submit daily production reports highlighting progress, issues, and worker performance 11. Ensure adherence to safety regulations and factory operational guidelines 12. Maintain a clean, organized, and safe working environment Requirements: 1. Graduate in any discipline (Manufacturing, Engineering preferred) 2. 0-1 years of experience in modular furniture manufacturing or a similar industry 3. Strong understanding of furniture production processes and modular machinery 4. Proficiency in accurate measurement techniques and precision handling 5. Leadership qualities to guide, supervise, and train factory workers 6. Basic knowledge of production planning and workflow management 7. Strong communication and interpersonal skills for team coordination 8. High attention to detail for quality control 9. Problem-solving abilities to resolve production-related issues quickly 10. Physically fit and able to manage on-ground factory operations 11. Punctual, reliable, and proactive in identifying and solving challenges 12. Familiarity with factory safety protocols and compliance norms Who can apply: Only those candidates can apply who: are Mechanical Engineering students Salary: ₹ 3,60,000 - 4,80,000 /year Experience: 0 year(s) Deadline: 2025-07-24 23:59:59 Skills required: Leadership, Team Management, Production Management, Interpersonal skills, Effective Communication and Supervised Learning About Company: Furnika is a forward-thinking modular furniture manufacturing company based in Raipur, Chhattisgarh, with a clear focus on serving the commercial, institutional, corporate, and government sectors. We specialize in delivering high-quality, custom-built furniture solutions that are designed for functionality, durability, and scale. What sets Furnika apart is our commitment to precision manufacturing, thoughtful design, and seamless execution. Powered by advanced technology and a skilled team, we go beyond conventional furniture making to create environments that enhance productivity and reflect purpose. At Furnika, we don't just manufacture furniture; we engineer solutions for modern workspaces and institutional needs, with quality and client satisfaction at the core of everything we do.

About NCR Atleos Overview Data is at the heart of our global financial network. In fact, the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. Our goal is to build and maintain a leading-edge data platform that provides highly available , consistent data of the highest quality for all users of the platform, including our customers, operations teams and data scientists. We focus on evolving our platform to deliver exponential scale to NCR Atleos , powering our future growth. Data & AI Engineers at NCR Atleos experience working at one of the largest and most recognized financial companies in the world, while being part of a software development team responsible for next generation technologies and solutions. Our engineers design and build large scale data storage, computation and distribution systems. They partner with data and AI experts to deliver high quality AI solutions and derived data to our consumers. We are looking for Data & AI Engineers who like to innovate and seek complex problems. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Engineers looking to work in the areas of orchestration, data modelling , data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates. Responsibilities As a Data Engineer, you will be joining a Data & AI team transforming our global financial network and improving the quality of our products and services we provide to our customers. and you will be responsible for designing, implementing, and maintaining data pipelines and systems to support the organizations data needs. Your role will involve collaborating with data scientists, analysts, and other stakeholders to ensure data accuracy, reliability, and accessibility. Key Responsibilities Data Pipeline DevelopmentDesign, build, and maintain scalable and efficient data pipelines to collect, process, and store structured and unstructured data from various sources. Data IntegrationIntegrate data from multiple sources such as databases, APIs, flat files, and streaming platforms into centralized data repositories. Data ModelingDevelop and optimize data models and schemas to support analytical and operational requirements. Implement data transformation and aggregation processes as needed. Data Quality AssuranceImplement data validation and quality assurance processes to ensure the accuracy, completeness, and consistency of data throughout its lifecycle. Performance Optimization Monitor and optimize data processing and storage systems for performance, reliability, and cost-effectiveness. Identify and resolve bottlenecks and inefficiencies in data pipelines and leverage Automation and AI to improve overall Operations. Infrastructure ManagementManage and configure cloud-based or on-premises infrastructure components such as databases, data warehouses, compute clusters, and data processing frameworks. CollaborationCollaborate with cross-functional teams including data scientists, analysts, software engineers, and business stakeholders to understand data requirements and deliver solutions that meet business objectives . Documentation and Best PracticesDocument data pipelines, systems architecture, and best practices for data engineering. Share knowledge and provide guidance to colleagues on data engineering principles and techniques. Continuous ImprovementStay updated with the latest technologies, tools, and trends in data engineering and recommend improvements to existing processes and systems. Qualifications and Skills: Bachelors degree or higher in Computer Science, Engineering, or a related field. Proven experience in data engineering or related roles, with a strong understanding of data processing concepts and technologies. Mastery of programming languages such as Python, Java, or Scala. Knowledge of database systems such as SQL, NoSQL, and data warehousing solutions. Knowledge of stream processing technologies such as Kafka or Apache Beam. Experience with distributed computing frameworks such as Apache Spark, Hadoop, or Apache Flink . Experience deploying pipelines in cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience in implementing enterprise systems in production setting for AI, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus . Have full stack experience to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions with focus on privacy, security, fairness. Have good engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats for as-is consumption and display on the dashboards/portals. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with containerization and orchestration tools such as Docker and Kubernetes. Familiarity with data visualization tools such as Tableau or Power BI. EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agenciesNCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

We are seeking an experienced and hands-on Senior Data Scientist with expertise in Generative AI and/or Classical Machine Learning to join our growing AI team. In this role, you will lead the design and development of data-driven solutions , ranging from traditional ML models to cutting-edge GenAI applications that solve real business problems. Key Responsibilities: Develop, validate, and deploy ML models for prediction, classification, recommendation, and other business use cases. Design and build GenAI applications using LLMs (e.g., GPT, LLaMA, Claude) for use cases like summarization, Q&A, content generation, document analysis, etc. Collaborate with stakeholders to translate business problems into data science solutions . Perform EDA, feature engineering , and data preprocessing on structured and unstructured data (text, images, documents). Implement model performance monitoring , drift detection, and retraining strategies. Work with MLOps/engineering teams to ensure scalable, production-grade model deployment. Stay up to date with new GenAI and ML research trends and identify opportunities for business impact. Mentor junior data scientists and support peer review of code, model design, and documentation. Required Qualifications: Education: Masters or Bachelor's degree in Computer Science, Data Science, Statistics, or related field. Experience: 58 years of professional experience in data science , with proven delivery of ML/AI models in production. Technical Skills: Strong programming skills in Python and use of libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch. Experience building and fine-tuning ML models for regression, classification, clustering, or time-series forecasting. Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI API, RAG pipelines). Exposure to text embeddings, prompt engineering, vector databases (e.g., FAISS, Pinecone, Chroma). Proficient in using SQL and working with large datasets. Familiarity with model deployment tools and practices (Docker, FastAPI, MLflow, Streamlit, or similar). Experience with cloud platforms (AWS, Azure, or GCP) is a strong plus. Preferred Skills: Experience with NLP, Computer Vision , or time-series modeling . Exposure to MLOps workflows (CI/CD, monitoring, pipeline automation). Familiarity with vector search, RAG architecture , and document intelligence workflows. Previous experience in domains like BFSI, healthcare, retail, or enterprise automation is a plus. Key Attributes: Strong business acumen and stakeholder communication. Ability to balance research mindset with production-readiness . Passion for innovation, continuous learning, and cross-functional collaboration. Team player with mentoring and leadership qualities.

About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSECI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Title Machine Learning Lead Analyst Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. As a AI Prompt Engineer, you will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. & Responsibilities: Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare. Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Overall 6+ years of experience 5 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C/C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Healthcare experience (preferred but not mandate) Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement: Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

What You'll Do: You will work directly as part of AA CoE and be a part of analytics focused projects across statistics, optimization & simulations, machine learning and Big Data. Your role will involve design and implementation of advanced statistical analysis and machine learning algorithms to derive business insights and solve complex business problems. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations. You may also be responsible for presenting results to management and implementing recommendations with team members. Youll have the opportunity to gain new skills and build on the strengths you bring to the company. Main task: • Design and implement machine-learning models to support the businesss numerous initiatives and programs with a view of achieving overall objectives and targets • Successful documentation of reusable code • Achieve personal technical development and learning goals • Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc. Participate in and help plan cultural initiatives for CoE Qualifications • University degree in Computer Science, Engineering, Applied Mathematics or related fields and excellent academic record required; Master’s degree in above mentioned subjects preferred • 2-3 years of technical experience in handling large datasets and applying advanced statistical and machine learning algorithms • Hand-on experience in methodologies such as: Supervised and Unsupervised Learning, Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer Vision, NLP, Interpretable AI, etc. • Proficiency with at least one of the following languages: R, Python, SAS and experience of working with SQL/NoSQL databases • Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc. • Stakeholder management skills with ability to communicate and work with senior management effectively • Skills to communicate complex ideas effectively Interested candidates can send their resume on a mail - Resumesktk@muthootgroup.com

Job Description: We are seeking a highly motivated and skilled AI Developer to join our dynamic team. The ideal candidate should have hands-on experience in designing, developing, and deploying AI and machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and product teams to build intelligent applications. Key Responsibilities: Design and develop AI/ML models based on business requirements Preprocess and analyze structured and unstructured data Implement Deep Learning and NLP algorithms using frameworks like TensorFlow, PyTorch, and Scikit-learn Collaborate with software engineers to integrate models into production environments Build and optimize pipelines for data ingestion, model training, and inference Monitor model performance and retrain as needed Research and implement state-of-the-art algorithms Create dashboards or front-end demos using Streamlit or similar tools (optional) Key Skills Required: Programming: Python (Must), R (Optional), Java (Good to have) AI/ML: TensorFlow, PyTorch, Keras, Scikit-learn Data Science: Pandas, NumPy, Matplotlib, Seaborn NLP: Hugging Face Transformers, NLTK, SpaCy Computer Vision: OpenCV, YOLO, CNNs Model Deployment: Flask, FastAPI, Docker, AWS/Azure/GCP Databases: SQL, MongoDB, Firebase (optional) Version Control: Git, GitHub Preferred Qualifications: Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field Strong mathematical foundation in statistics, linear algebra, and probability Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Why Join Us? Work on cutting-edge AI solutions Collaborative and inclusive work environment Opportunity to grow in a fast-paced tech-driven organization Exposure to real-world enterprise and consumer AI applications

Machine Learning Subject Matter Expert (SME) Course Creator We are seeking a Machine Learning Subject Matter Expert (SME) – Course Creator to design and develop engaging, high-quality machine learning (ML) courses aligned with our instructional design framework. The ideal candidate will collaborate with instructional designers, content developers, and multimedia teams to create learner-focused courses that cater to a global audience. Key Responsibilities: Design and structure machine learning courses for us, ensuring alignment with industry trends and best practices. Develop course modules, learning objectives, assessments, quizzes, and capstone projects to enhance learning outcomes. Create engaging content using Jupyter Notebooks, Python, TensorFlow, PyTorch, Scikit-learn, and other ML tools. Integrate real-world case studies, hands-on coding exercises, and interactive learning experiences. Work closely with instructional designers to implement pedagogically sound teaching methodologies (e.g., project-based learning, microlearning). Develop video scripts, slide decks, and supplementary materials for the hosted courses. Ensure content is accessible, interactive, and aligned with our Learning Experience Platform (LXP). Stay up to date with emerging ML trends, AI advancements, and our course creation guidelines. Required Skills & Qualifications: Master’s or Ph.D. in Machine Learning, Data Science, Computer Science, or a related field. 5+ years of experience in ML research, development, or teaching. Expertise in Python, TensorFlow, PyTorch, Scikit-learn, and other ML libraries. Experience in building and deploying ML models in real-world applications. Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning techniques. Familiarity with cloud-based ML platforms (AWS, GCP, Azure ML). Prior experience in creating online courses, MOOCs, or technical content for learning platforms like Coursera, Udacity, or edX. Ability to explain complex ML concepts in a simple, engaging, and interactive manner. Strong technical writing and communication skills. Preferred Qualifications: Experience working with LMS platforms and course creation tools (Articulate, Camtasia, Jupyter Notebooks). Knowledge of AI ethics, explainable AI (XAI), and responsible AI development. Previous experience as a course instructor, mentor, or content contributor.

About the job: Key responsibilities: 1. Manage facility operations, maintenance, and project supervision 2. Oversee staff management and coordinate with external vendors 3. Communicate effectively and build strong interpersonal relationships 4. Solve problems and pay attention to detail 5. Ensure compliance with regulatory and safety standards 6. Work independently and manage multiple tasks efficiently 7. Apply experience in real estate or property management (a plus) 8. Hold a Bachelor's degree in Business Administration, Property Management, or a related field Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,40,000 - 3,60,000 /year Experience: 1 year(s) Deadline: 2025-06-16 23:59:59 Skills required: Project Management, Time Management, Teamwork, Effective Communication, Supervised Learning and Collaboration About Company: Founded in 2020, Triluxo Technologies provides innovative and cutting-edge technology-based solutions around the world for virtual learning. Triluxo is an emerging startup with a vision and mission of providing quality education with an inclusive spirit. With great minds, we desire to foster a love of learning among our users.