330 Aws Sagemaker Jobs - Page 5

As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learning algorithms to analyze vast amounts of information, uncover trends, and patterns. By mining and analyzing data from company databases, you will drive optimization and improvement in product development, marketing techniques, and business strategies. Moreover, you will be expected to create processes and tools to monitor and analyze model performance, data accuracy, and develop data visualization and illustrations to address business problems effectively. Your role will also involve using predictive modeling to enhance and optimize customer experiences and other business outcomes. Collaboration with different functional teams to implement models and monitor outcomes is essential. You will be required to set and provide feedback on FAST goals for reportees. Key responsibilities include applying statistical techniques like regression, properties of distributions, and statistical tests to analyze data, as well as utilizing machine learning techniques such as clustering, decision tree learning, and artificial neural networks for data analysis. Moreover, you will be creating advanced algorithms and statistics through regression, simulation, scenario analysis, and modeling. In terms of data visualization, you will visualize and present data for stakeholders using tools like Periscope, Business Objects, D3, ggplot, etc. You will oversee the activities of analyst personnel, ensuring efficient execution of their duties, while mining the business's database for critical insights and communicating findings to relevant departments. Other expectations include creating efficient and reusable code for data improvement, manipulation, and analysis, managing project codebase through version control tools like git and bitbucket, and creating reports depicting trends and behaviors from analyzed data. You will also be involved in training end users on new reports and dashboards, documenting your work, conducting peer reviews, managing knowledge, and reporting task status. The ideal candidate will possess excellent pattern recognition and predictive modeling skills, a strong background in data mining and statistical analysis, expertise in machine learning techniques, and advanced algorithm creation. Moreover, analytical, communication, critical thinking, attention to detail, mathematical, and interpersonal skills are crucial for success in this role. Proficiency in programming languages such as Java, Python, R, web services like Redshift and S3, statistical and data mining techniques, computing tools, analytical languages, data visualization software, mathematics, spreadsheet tools, DBMS, operating systems, and project management tools is required. Additionally, a strong understanding of statistical concepts, SQL, machine learning (Regression and Classification), deep learning (ANN, RNN, CNN), advanced NLP, computer vision, Gen AI/LLM, AWS Sagemaker/Azure ML/Google Vertex AI, and basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) is essential for this role.,

Join the Agentforce team in AI Cloud at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organisations. We work in a highly collaborative environment, and you will partner with a highly cross functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our cutting edge new AI framework. We value execution, clear communication, feedback and making learning fun. Your impact - You will: Architect, design, implement, test and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc.) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps Analyze and provide feedback on product strategy and technical feasibility Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Actively communicate with, encourage and motivate all levels of staff. Be a subject matter expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements Troubleshoot complex production issues and interface with support and customers as needed Drives long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Required Skills: 12+ years of experience in building highly scalable Software-as-a-Service applications/ platform Experience building technical architectures that address complex performance issues Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt Deep knowledge of object oriented programming and experience with at least one object oriented programming language, preferably Java Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.) Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium Demonstrated ability to drive long-term design strategies that span multiple complex projects Experience delivering technical reports and presentations to customers and at industry events Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues Experience with the full software lifecycle in highly agile and ambiguous environments Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management and/or client SDKs development Experience with machine learning or cloud technology platforms like AWS sagemaker, terraform, spinnaker, EKS, GKE Experience with AI/ML and Data science, including Predictive and Generative AI Experience with data engineering, data pipelines or distributed systems Experience with continuous integration (CI) and continuous deployment (CD), and service ownership Familiarity with Salesforce APIs and technologies Ability to support/resolve production customer escalations with excellent debugging and problem solving skills,

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and Inviting applications for the role of Lead Consultant - MLOps Engineer! In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment of AI/ GenAI models across the enterprise. This role combines deep DevOps knowledge, infrastructure architecture, and AI platform design to guide how teams build and ship ML models securely and reliably. You will establish governance, reuse, and automation frameworks for AI infrastructure, including Terraform-first cloud automation, multi-environment CI/CD, and observability pipelines. Responsibilities Architect secure, reusable, modular IaC frameworks across cloud and regions for MLOps Lead the development of CI/CD pipelines and standardize deployment frameworks. Design observability and monitoring systems for ML/ GenAI workloads. Collaborate with platform, data science, compliance and Enterprise Architecture teams to ensure scalable ML operations. Define enterprise-wide MLOps architecture and standards (build ? deploy ? monitor) Lead design of GenAI / LLMOps platform (Bedrock/OpenAI/Hugging Face + RAG stack) Integrate governance controls (approvals, drift detection, rollback strategies) Define model metadata standards, monitoring SLAs, and re-training workflows Influence tooling, hiring, and roadmap decisions for AI/ML delivery Be engaging in the design, development and maintenance of data pipelines for various AI use cases Required to actively contribution to key deliverables as part of an agile development team Qualifications we seek in you! Minimum Qualifications Good years of experience in DevOps or MLOps roles. Degree/qualification in Computer Science or a related field, or equivalent work experience Strong Python programming skills. Hands on experience in containerised deployment. Proficient with AWS (SageMaker, Lambda, ECR), Terraform, and Python. Demonstrated experience deploying multiple GenAI systems into production. Hands-on experience deploying 3-4 ML/ GenAI models in AWS. Deep understanding of ML model lifecycle: train ? test ? deploy ? monitor ? retrain. Experience in developing, testing, and deploying data pipelines using public cloud. Clear and effective communication skills to interact with team members, stakeholders and end users Knowledge of governance and compliance policies, standards, and procedures Exposure to RAG/LLM workloads and model deployment infrastructure. Experience in developing, testing, and deploying data pipelines Preferred Qualifications/ Skills Experience designing model governance frameworks and CI/CD pipelines. Knowledge of governance and compliance policies, standards, and procedures Advanced understanding of platform security, cost optimization, and ML observability. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Role & responsibilities AWS Sagemaker, Terraform, LLM Model training Preferred candidate profile

Role Description : Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the data scientists in hands-on mode developing and deploying advanced machine learning models, including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to autonomously discover problems and identify root causes and recommend actions in real-time and batch processing scenarios Gen-AI-Powered Analysis and Insights Generation: Lead the data scientists in hands-on mode creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable, natural language insights for business stakeholders. Implement prompt engineering and fine-tuning techniques to enhance the relevance and accuracy of insights. Reference Architectures : Work with Technical Architects to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time. Client Deployments of the Platform: Consult and provide guidance for creating automated data pipelines for raw data and engineered features ensuring data quality, integrity, and accessibility for model training and inference. Development of Use Cases: Lead and support development of the use cases on the platform for various vertical specific problem statements. Leadership and Collaboration: Lead and mentor a team of data scientists and machine learning engineers, Pre-sales: Support pre-sales, marketing hyper-scaler partnerships and other sales activities such as RFPs by providing subject matter expertise during scoping and designing of the engagements. Technical Skills : In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning and GenAI Able to understand the nuances of business problems in various domains, quickly grasp the problem discovery analysis and modelling imperatives and translate those into the requirements for AI models Significant exposure to various proprietary & open-source cloud-based Machine Learning platforms such as Amazon Sagemaker / Azure Machine Learning Studio / Google Datalab ML Engine AutoML / H2O etc. Experience in leveraging open-source LLMs and prompt engineering and RAG based SLM model development Hands-on with excellent ML programming skills in Python using open-source libraries Qualifications Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies 14-16 years of Machine Learning model development and application experience Experience in building cloud-based products that implement ML modelling as a service would be ideal

6-8 years of over all experience with 3+ years in ML Ops engineering. Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc. Extensiveexperience with ML Ops frameworks like DataIku (MUST Have),Kubeflow , MLflow , TensorFlow Extended (TFX) , . Strong experience in deploying and managing machine learning models on AWS environments Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc. Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment. Mandatory skills : SageMaker, DataIku, Python, PySpark, AWS Services ; Good to have: AWS CDK Mandatory Competencies Data Science - Machine Learning (ML) Python - Python Beh - Communication DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins DevOps - Github DevOps - Kubernetes Big Data - Big Data - Pyspark Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Data Science and Machine Learning - Data Science and Machine Learning - Python DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Perform gap analysis & assess the impact of AI implementations on business processes Develop prototypes & proof-of-concept AI solutions using tools like Python, TensorFlow, or R Support UAT Required Candidate profile Experience in AI/ML or data analytics projects, AI/ML concepts, data pipelines, statistical modeling Proficiency in Python, R, or SQL preferred, AI tools - Azure AI, AWS SageMaker, Google AI, OpenAI

As a Product Owner at PitchBook, you will collaborate with key stakeholders and teams to deliver the department's product roadmap. Your role will involve aligning engineering activities with product objectives for new product capabilities, data, and scaling improvements, focusing on AI/ML data extraction, collection, and enrichment capabilities. Working within the Data Technology team, you will develop solutions to support and accelerate data operations processes, impacting core workflows of data capture, ingestion, and hygiene across private and public capital markets datasets. You will work on AI/ML Collections Data Extraction & Enrichment teams, closely integrated with Engineering and Product Management to ensure alignment with the Product Roadmap. Your responsibilities will include being a domain expert for your product area(s), defining backlog priorities, managing feature delivery according to the Product Roadmap, validating requirements, creating user stories and acceptance criteria, communicating with stakeholders, defining metrics for team performance, managing risks or blockers, and supporting AI/ML collections work. To be successful in this role, you should have a Bachelor's degree in Information Systems, Engineering, Data Science, Business Administration, or a related field, along with 3+ years of experience as a Product Manager or Product Owner within AI/ML or enterprise SaaS domains. You should have a proven track record of shipping high-impact data pipeline or data collection-related tools and services, familiarity with AI/ML workflows, experience collaborating with globally distributed teams, excellent communication skills, a bias for action, and attention to detail. Preferred qualifications include direct experience with applied AI/ML Engineering services, a background in fintech, experience with data quality measurements and ML model evaluation, exposure to cloud-based ML infrastructure and data pipeline orchestration tools, and certifications related to Agile Product Ownership / Product Management. This position offers a standard office setting with the use of a PC and phone throughout the day, collaboration with stakeholders in Seattle and New York, and limited corporate travel may be required. Morningstar's hybrid work environment allows for remote work and in-person collaboration, with benefits to enhance flexibility. Join us at PitchBook to engage meaningfully with global colleagues and contribute to our values and vision.,

As a Data Science/Machine Learning Instructor at our organization, you will be responsible for conducting live instructions to educate working professionals on core topics related to Data Science and Machine Learning. This includes topics such as supervised and unsupervised learning, deep learning, model evaluation, and MLOps through engaging and interactive sessions. You will collaborate with content teams to develop labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based Data Science/Machine Learning services. Your role will also involve providing support to learners by addressing technical queries, debugging code, reviewing notebooks, and offering constructive feedback on assignments and projects. Additionally, you will mentor learners on capstone projects such as image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous improvement is a key aspect of your responsibilities, which includes analyzing learner performance data to enhance modules, introduce new topics like transformers and generative models, and improve assessments. To qualify for this position, you should have a minimum of 3 years of industry or academic experience in Data Science, Machine Learning, or Artificial Intelligence. A Master's degree in Data Science, Machine Learning, Artificial Intelligence, or a Computer Science specialization in AI and Data Science/Machine Learning is required. Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch is essential. Familiarity with MLOps tools like Docker, Kubernetes, MLflow, and cloud ML services such as AWS SageMaker, GCP AI Platform, or Azure ML is preferred. Strong presentation and mentoring skills in live and small-group settings are necessary for this role. Prior experience in teaching or educational technology would be advantageous. If you are passionate about Data Science and Machine Learning and possess the required qualifications and skills, we invite you to join our team as a Data Science/Machine Learning Instructor.,

As a Senior Product Manager, you will play a pivotal role in defining the strategic direction of the product offerings, collaborating with cross-functional teams, and ensuring the successful execution of the product vision. With 8-10 years of experience in the Product domain developing AI-based enterprise solutions, you will leverage AI/ML technologies to enhance product capabilities and deliver innovative solutions in a fast-paced and dynamic environment. Your key roles and responsibilities will include leading the development and execution of AI/ML products from concept to launch, defining the product roadmap, strategy, and vision based on market trends, customer needs, and business goals. You will collaborate with cross-functional teams including engineering, design, data science, and marketing to drive product development, conduct market research and competitive analysis to identify new opportunities, and enhance existing products. Managing the product lifecycle, including planning, prioritization, and feature definition, you will measure and evaluate product performances, user behavior, and Customer Satisfaction using qualitative and quantitative methods. Communication of the product vision and priorities to stakeholders, team members, and executives will be essential. Additionally, driving product performance analysis and making data-driven decisions to optimize product features and user experience are crucial aspects of the role. Your interaction with customers to gather feedback, understand requirements, and address product issues will be important. Staying updated on AI industry trends, technologies, and best practices to drive innovation and maintain competitive advantage is a key requirement. Providing leadership and mentorship to junior product team members will also be part of your responsibilities. A Product Management Certification (e.g., Pragmatic Marketing, Certified Scrum Product Owner) is required for this role. Strong behavioral skills such as excellent leadership and communication, problem-solving, decision-making abilities, adaptability, creativity, and a passion for innovation are essential. Experience with technical tools and frameworks like Python, TensorFlow, PyTorch, OpenAI, Jupyter Notebooks, MLflow, AWS SageMaker, Google Vertex AI, or Azure ML will be advantageous. If you have proven experience in building AI/ML Products, you can email your resumes to hardik.dwivedi@adani.com.,

As a Python Machine Learning & AI Developer at Chicmic Studios, you will be an integral part of our dynamic team, bringing your expertise and experience to develop cutting-edge web applications using Django and Flask frameworks. Your primary responsibilities will include designing and implementing RESTful APIs with Django Rest Framework (DRF), deploying and optimizing applications on AWS services, and integrating AI/ML models into existing systems. You will be expected to create scalable machine learning models using PyTorch, TensorFlow, and scikit-learn, implement transformer architectures like BERT and GPT for NLP and advanced AI use cases, and optimize models through techniques such as hyperparameter tuning, pruning, and quantization. Additionally, you will deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker, ensuring the scalability, performance, and reliability of both applications and models. Collaboration with cross-functional teams to analyze requirements, deliver technical solutions, and staying up-to-date with the latest industry trends in AI/ML will also be key aspects of your role. Your ability to write clean, efficient code following best practices, conduct code reviews, and provide constructive feedback to peers will contribute to the success of our projects. To be successful in this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field, with at least 3 years of professional experience as a Python Developer. Proficiency in Python, Django, Flask, and AWS services is required, along with expertise in machine learning frameworks, transformer architectures, and database technologies. Familiarity with MLOps practices, front-end technologies, and strong problem-solving skills are also desirable qualities for this position. If you are passionate about leveraging your Python development skills and AI expertise to drive innovation and deliver impactful solutions, we encourage you to apply and be a part of our innovative team at Chicmic Studios.,

The QA Engineer AI/ML will play a crucial role in evaluating and conducting manual functional, regression, and integrated testing on new or modified software programs. Your primary responsibility will be to ensure that these programs meet the specified requirements and adhere to established guidelines. By writing, revising, and validating test plans and procedures, you will contribute to the identification of defects, environmental needs, and product feature evaluations. As a QA Engineer AI/ML, you will be tasked with maintaining a comprehensive test library, executing test scenarios to ensure coverage of requirements and regression, and conducting both positive and negative testing. Your involvement in product design reviews will provide valuable insights into functional requirements, product designs, usability considerations, and testing implications. Additionally, you will be responsible for identifying, reporting, and tracking product defects, as well as addressing the need for additional product functionality in a clear and concise manner. In this role, you will also be required to prepare and review technical documentation for accuracy, completeness, and overall quality. Providing task estimations and ensuring timely delivery against specified schedules will be essential aspects of your responsibilities. Furthermore, your availability outside of standard business hours may be necessary as part of a rotational on-call schedule. To qualify for this position, you must hold a Bachelor's degree in computer science, engineering, or a related field, or possess equivalent relevant experience. You should have 2-4 years of experience in QA Manual and demonstrate a strong understanding of technology, software quality assurance standards, and practices. Your exceptional written and verbal communication skills, along with active listening abilities, will enable you to interact effectively with a diverse range of technical and non-technical personnel. A proficiency in identifying issues logically, troubleshooting, problem-solving, and predicting defects will be crucial for success in this role. You should be adept at interpreting business requirements, creating test specifications, test plans, and test scenarios. Additionally, a balance between individual and team efforts in collaborative processes while meeting deadlines will be necessary. Experience and skills in AI/ML fundamentals, data quality assessment, model performance testing, AI/ML testing tools familiarity, bias and fairness testing, and programming skills for AI/ML testing are highly desirable. Proficiency in Python and SQL for creating test scripts, data manipulation, and working with ML libraries will be beneficial. Familiarity with MLOps, model lifecycle testing, structured delivery processes, Agile methods, and various platforms and databases will also be advantageous. Enjoy a competitive compensation package and comprehensive benefits as part of this role at Netsmart, an Equal Opportunity Employer dedicated to diversity and inclusivity.,

Are you seeking an exciting opportunity to be part of a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business team in providing a comprehensive perspective. As a Data Scientist Analyst in Asset and Wealth Management Risk within our AWM Risk team, you will play a key role in innovating and implementing data-driven risk analytics solutions through advanced data science and machine learning techniques. Your contributions will enable us to enhance our operations, strengthen our core values, and expand our analytical capabilities to support the growth of Newton's platform. JPMorgan Asset & Wealth Management Risk (AWM) is looking for a skilled Risk professional with quantitative analysis expertise to join our AWM Risk Analytics team. This team, part of AWM Risk Management, consists of innovative professionals focused on quantitative and market risk. You will be involved in developing risk measurement methodologies, analytics calculations, and maintaining the AWM Risk System (Newton) used by AWM Risk Management and Front Office stakeholders. Responsibilities: - Collaborate with peers and stakeholders to identify opportunities for using Data Science to drive value and enhance security and portfolio risk analytics. - Lead enhancements in AI/ML and statistical techniques for data and analytics validation. - Design and deliver scalable solutions using cutting-edge technologies like AI and LLMs. - Analyze large data sets, follow best practices for data model and architecture, and contribute to risk methodology enhancement. Required Qualifications: - Minimum 6 months of experience as a Data Scientist or in a related quantitative role. - Strong quantitative skills, attention to detail, ability to multitask, and work independently. - Excellent communication skills. - Proficiency in statistics, AI/ML techniques, and problem-solving. - Knowledge of programming languages such as SQL, Python, ML, AWS Sagemaker, TensorFlow, etc. Preferred Qualifications: - Experience in financial markets or quantitative analysis within Risk Management or Front Office. - Familiarity with asset pricing, VaR backtesting, and model performance testing.,

As a Software Engineer - Backend (Python) with 7+ years of experience, you will be responsible for designing and building the backend components of the GenAI Platform in Hyderabad. Your role will involve collaborating with geographically distributed cross-functional teams and participating in an on-call rotation to handle production incidents. The GenAI Platform offers safe, compliant, and cost-efficient access to LLMs, including Opensource & Commercial ones, while adhering to Experian standards and policies. You will work on building reusable tools, frameworks, and coding patterns for fine-tuning LLMs or developing RAG-based applications. To succeed in this role, you must possess the following skills: - 7+ years of professional backend web development experience with Python - Experience with AI and RAG - Proficiency in DevOps & IaC tools like Terraform, Jenkins - Familiarity with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow - Expertise in web development frameworks such as Flask, Django, or FastAPI - Knowledge of concurrent programming designs like AsyncIO - Experience with public cloud platforms like AWS, Azure, GCP (preferably AWS) - Understanding of CI/CD practices, tools, and frameworks Additionally, the following skills would be considered nice to have: - Experience with Apache Kafka and developing Kafka client applications in Python - Familiarity with big data processing frameworks, especially Apache Spark - Knowledge of containers (Docker) and container platforms like AWS ECS or AWS EKS - Proficiency in unit and functional testing frameworks - Experience with various Python packaging options such as Wheel, PEX, or Conda - Understanding of metaprogramming techniques in Python Join our team and contribute to the development of cutting-edge technologies in a collaborative and dynamic environment.,

As a Machine Learning Engineer, you will be responsible for designing and implementing scalable machine learning models throughout the entire lifecycle - from data preprocessing to deployment. Your role will involve leading feature engineering and model optimization efforts to enhance performance and accuracy. Additionally, you will build and manage end-to-end ML pipelines using MLOps practices, ensuring seamless deployment, monitoring, and maintenance of models in production environments. Collaboration with data scientists and product teams will be key in understanding business requirements and translating them into effective ML solutions. You will conduct advanced data analysis, create visualization dashboards for insights, and maintain detailed documentation of models, experiments, and workflows. Moreover, mentoring junior team members on best practices and technical skills will be part of your responsibilities to foster growth within the team. In terms of required skills, you must have at least 3 years of experience in machine learning development, with a focus on the end-to-end model lifecycle. Proficiency in Python using Pandas, NumPy, and Scikit-learn for advanced data handling and feature engineering is crucial. Strong hands-on expertise in TensorFlow or PyTorch for deep learning model development is also a must-have. Desirable skills include experience with MLOps tools like MLflow or Kubeflow for model management and deployment, familiarity with big data frameworks such as Spark or Dask, and exposure to cloud ML services like AWS SageMaker or GCP AI Platform. Additionally, working knowledge of Weights & Biases and DVC for experiment tracking and versioning, as well as experience with Ray or BentoML for distributed training and model serving, will be considered advantageous. Join our team and contribute to cutting-edge machine learning projects while continuously improving your skills and expertise in a collaborative and innovative environment.,

As an AI Architect, you will be responsible for designing and deploying scalable, autonomous AI systems that seamlessly integrate with cloud platforms and enterprise workflows. Your role will involve leading AI strategy, evaluating emerging frameworks, and optimizing AI models for real-world applications, all while driving innovation in agentic AI. You will be tasked with architecting scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making. Additionally, you will provide technical leadership by guiding AI engineers and data scientists in implementing advanced architectures such as LLMs and multi-agent frameworks. Deployment of AI solutions on cloud platforms like AWS SageMaker, Azure ML, or Vertex AI, and utilizing tools like LangChain, AutoGPT, or Autogen will also be part of your responsibilities. Your role will also involve fine-tuning LLMs and AI models for domain-specific tasks such as real-time analytics and adaptive automation. You will prototype emerging AI architectures like neuro-symbolic systems and self-improving agents for production viability, and ensure system robustness through stress testing, bias mitigation, and compliance with ethical AI standards. Collaborating with stakeholders to align AI initiatives with business goals and advocate for AI-driven innovation will also be crucial. To excel in this role, you should have a minimum of 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks. Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools like SageMaker and Vertex AI is essential. A strong background in autonomous agents, multi-agent systems, and AI optimization is required. Experience with frameworks like LangChain, AutoGPT, or similar is a plus. You should also possess the ability to translate research into production-ready architectures, along with excellent communication and leadership skills. Join us at CoinFantasy, a revolutionary Play to Invest platform that offers a risk-free sandbox environment for exploring the end-to-end investment journey. As part of our innovative team, you will be pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Shape the future of finance and technology with us! Benefits of joining us include a competitive salary, performance incentives, being part of the Core Team in a fast-growing company, fulfilling and challenging work with real impact on the product, and unlimited growth opportunities both professionally and personally.,

Job Title: Senior AI Engineer (Clinical Research) Required Experience: 3+ years Location: Pune Job Description: We are seeking a highly skilled and experienced Senior AI Engineer to lead the development and deployment of advanced artificial intelligence and machine learning solutions for clinical research initiatives. This role will drive innovation in clinical data extraction, patient cohort analysis, protocol optimization, and predictive modeling to support better decision-making and operational efficiencies in clinical trials. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Key Responsibilities 1. AI/ML Development & Deployment Develop and deploy machine learning models for extracting, classifying, and analyzing structured and unstructured clinical data (e.g., EMRs, CRFs, protocols). Apply NLP techniques for entity recognition, relationship extraction, summarization, and semantic search of clinical trial texts. Build predictive models for trial success, patient recruitment, dropout risk, and adverse event detection. Lead the development of GenAI workflows, including LLM/SLM/VLM-based pipelines and multi-modal AI applications. Implement computer vision and OCR/IDP models for clinical document processing and imaging. 2. RAG (Retrieval-Augmented Generation) & LLM Engineering Design and optimize RAG workflows, including embedding and retrieval pipelines. Work with Gemini Flash 2.5 or similar models (e.g., GPT-4, Claude) for LLM-based clinical data tasks. Fine-tune prompt engineering, context window optimization, and chunking strategies. Integrate and manage vector stores such as FAISS, Chroma, or Vertex AI Matching Engine. 3. Data Engineering & Pipelines Collaborate with data engineers to build scalable pipelines for ingesting and transforming clinical and biomedical data (e.g., PubMed, CT.gov, EHR, imaging). Handle data cleansing, harmonization, annotation, and transformation for ML readiness. Develop ingestion processes for structured and unstructured sources: PDF, SCORM, HTML, internal documents. 4. Evaluation, Monitoring & Regulatory Compliance Evaluate models using domain-specific metrics (e.g., precision@k, response confidence) and build continuous feedback loops. Ensure transparency, explainability, and reproducibility in model design. Maintain compliance with HIPAA, GDPR, and GxP/ISO 13485 standards. 5. Leadership & Collaboration Lead and mentor a team of junior data scientists and ML engineers. Define and drive AI strategy aligned with clinical and regulatory objectives. Collaborate with clinical scientists, statisticians, product managers, and regulatory teams to translate clinical goals into technical AI solutions. 6. Project & Technical Ownership Own end-to-end execution of AI projects: scoping, design, development, deployment, monitoring. Provide technical direction in deep learning (CNNs, Capsule Networks, Variational Autoencoders, Graph Neural Networks). Ensure MLOps best practices, including CI/CD, monitoring, logging, and governance in cloud environments. Technical Skills & Experience Must-Have: Proficiency in Python (FastAPI/Flask), LangChain, HuggingFace, and vector database integrations. Experience with embedding techniques and vector similarity (cosine, dot product, top-k retrieval). Hands-on experience with GenAI models (e.g., Gemini Flash 2.5, GPT-4, Claude). Knowledge of biomedical ontologies (UMLS, SNOMED CT, MeSH) and EDC systems. Familiarity with CDISC, HL7 FHIR, and OMOP CDM standards for clinical data. Proven experience in deploying AI models on cloud platforms: AWS SageMaker, GCP Vertex AI, or Azure ML. Desirable: Exposure to MLOps, scientific ML, and data visualization tools. Experience with Google Cloud (AlloyDB, Vertex AI APIs, secure deployments). Working knowledge of LMS content ingestion (PDFs, SCORM, HTML). Familiarity with frameworks like LlamaIndex or Haystack. Qualifications Bachelors or Masters in Computer Science, Biomedical Engineering, Data Science, or related field. PhD preferred. 3+ years of AI/ML experience, with 1+ years in clinical research or healthcare. Strong leadership, communication, and stakeholder management skills. Demonstrated success in translating complex clinical problems into deployable AI solutions.

Job Summary: We are looking for a visionary Senior AVP - Generative AI Lead to spearhead our Generative AI initiatives. In this senior leadership role, you will design and execute cutting-edge AI strategies leveraging generative models to drive innovation, optimize business processes, and create new AI-driven products. You will lead a cross-functional team of AI researchers, engineers, and data scientists to develop scalable generative AI solutions that align with organizational goals. Key Responsibilities: Lead the development and deployment of generative AI models (e.g., GPT, diffusion models, transformers) across various business units. Define the AI strategy focusing on generative models to enhance product offerings, customer experience, and operational efficiency. Collaborate with business leaders and technology teams to identify high-impact use cases and translate them into AI solutions. Oversee research and experimentation to stay ahead of advancements in generative AI and related technologies. Manage, mentor, and grow a high-performing team of AI specialists, fostering innovation and technical excellence. Ensure ethical AI practices, data privacy, and compliance in all generative AI projects. Drive AI infrastructure development and integration with existing technology platforms. Present technical insights and strategic recommendations to C-suite executives and stakeholders. Build partnerships with external AI vendors, academic institutions, and industry consortia. Qualifications: Master's or PhD in Computer Science, AI, Machine Learning, or related technical field. 10+ years of experience in AI/ML, with at least 5 years focused on generative AI technologies. Proven track record in leading AI teams and delivering large-scale generative AI projects. Deep knowledge of generative AI architectures such as transformers, GANs, VAEs, diffusion models, etc. Strong programming skills in Python, TensorFlow, PyTorch, or similar frameworks. Experience with cloud AI services (AWS Sagemaker, Azure AI, Google AI) and scalable deployment. Strong business acumen and ability to translate AI capabilities into measurable business outcomes. Excellent leadership, communication, and stakeholder management skills. Understanding of AI ethics, fairness, and regulatory considerations. Preferred Skills: Experience in NLP, computer vision, or multimodal generative models. Familiarity with large language models (LLMs) like GPT-4, PaLM, or similar. Background in product innovation or AI-driven transformation initiatives. Exposure to Agile and DevOps practices for AI/ML workflows.

Position Summary: We are looking for a visionary and deeply experienced Principal Data Scientist with 15+ years of experience in advanced data science and machine learning, and proven leadership in Generative AI (GenAI) . You will be responsible for conceptualizing and delivering high-impact AI solutions using large language models (LLMs), diffusion models, and other GenAI techniques, while also mentoring teams and influencing AI strategy across the organization. Key Responsibilities: AI Strategy & Leadership Drive the strategic direction of Generative AI initiatives aligned with business objectives. Evaluate, prototype, and implement GenAI technologies (e.g., GPT, Claude, LLaMA, Stable Diffusion). Serve as an AI thought leader, influencing executive decision-making and shaping the company's AI roadmap. Model Development & Deployment Design and build advanced GenAI solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Lead the end-to-end development and deployment of ML/GenAI models into production environments. Develop scalable architectures for serving LLMs and other foundation models. Research & Innovation Stay at the forefront of GenAI advancements by engaging with academic research, open-source communities, and industry forums. Contribute to internal AI research initiatives and explore novel applications of generative models. Publish whitepapers, patents, or present at top AI conferences as applicable. Cross-functional Collaboration Collaborate closely with data engineering, product, design, and business stakeholders to translate complex needs into AI-powered solutions. Educate teams on the capabilities, limitations, and ethical considerations of GenAI. Mentorship & Governance Mentor and coach junior and mid-level data scientists. Establish best practices for model governance, ethical AI, bias mitigation, and model explainability. Define frameworks for AI evaluation, monitoring, and lifecycle management. Required Qualifications: 15+ years of experience in data science, machine learning, or artificial intelligence. Demonstrated expertise in building and deploying GenAI solutions, particularly with large-scale language and vision models. Deep knowledge of ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain). Strong programming skills in Python and experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Vertex AI). Strong grounding in statistics, probability, optimization, and deep learning theory. Experience working with multimodal data (text, image, audio, video) and advanced NLP/NLG techniques. Preferred Qualifications: Ph.D. or Master's in Computer Science, Machine Learning, Mathematics, or related field. Experience with enterprise applications of GenAI (e.g., content generation, synthetic data, co-pilots, document understanding). Familiarity with MLOps and AI model lifecycle management in production environments. Knowledge of AI regulations, data privacy, and responsible AI frameworks.

Hiring an ML Engineer immediate joiner for the Hyderabad/Chennai/Pune/Noida location(Hybrid) Role & responsibilities 8+ n Machine Learning Engineering Strong programming skills in Python with experience in libraries such as scikit-learn, torch, pandas, scipy, click, and flask and/or FastAPI. Experience with the AWS ecosystem ( AWS SageMaker ) Strong understanding of ML algorithms, techniques, and best practices. Strong programming skills in python and Data analytical expertise

Experience: 5+ years of experience in AWS cloud engineering or related roles. Proven experience managing AWS services, including Amazon Q, SageMaker, Bedrock, Lambda, S3, and RDS. Technical Skills: Strong expertise in AWS services and cloud architecture. Knowledge of containerization technologies (Docker, Kubernetes). Familiarity with CI/CD tools (AWS CodePipeline, Jenkins). Proficient in scripting languages (Python, Bash) for automation tasks. FinOps Skills: Experience with Cloud Financial Management (FinOps) principles and practices. Ability to analyze cloud spending and recommend cost-saving measures. Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Ability to work in a fast-paced, agile environment. Preferred Qualifications AWS Certified Solutions Architect or DevOps Engineer. Experience with machine learning and data analytics platforms on AWS. Familiarity with risk management frameworks and compliance standards.

Qualifications Education: Bachelors degree in Computer Science, Information Technology, or a related field. Experience: 5+ years of experience in AWS cloud engineering or related roles. Proven experience managing AWS services, including Amazon Q, SageMaker, Bedrock, Lambda, S3, and RDS. Technical Skills: Strong expertise in AWS services and cloud architecture. Knowledge of containerization technologies (Docker, Kubernetes). Familiarity with CI/CD tools (AWS CodePipeline, Jenkins). Proficient in scripting languages (Python, Bash) for automation tasks. FinOps Skills: Experience with Cloud Financial Management (FinOps) principles and practices. Ability to analyze cloud spending and recommend cost-saving measures. Soft Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Ability to work in a fast-paced, agile environment. Preferred Qualifications AWS Certified Solutions Architect or DevOps Engineer. Experience with machine learning and data analytics platforms on AWS. Familiarity with risk management frameworks and compliance standards.

Role & responsibilities 5+ in Machine Learning Engineering Strong programming skills in Python with experience in libraries such as scikit-learn, torch, pandas, scipy, click, and flask and/or FastAPI. Experience with the AWS ecosystem ( AWS SageMaker ) Strong understanding of ML algorithms, techniques, and best practices. Strong programming skills in python and Data analytical expertise

As an Associate Project Manager specializing in AI/ML, you will leverage your 8+ years of experience, including 3+ years in project management, to lead and oversee the successful delivery of AI/ML projects. You will play a pivotal role in managing cross-functional teams, steering complex software projects, and spearheading AI/ML initiatives from inception to deployment. Your expertise will encompass a blend of project management proficiency and technical knowledge in machine learning systems, data pipelines, and model lifecycle management. Your responsibilities will include project planning, tracking, and execution, utilizing methodologies such as Agile, Scrum, and SDLC/Waterfall. You will demonstrate your ability to juggle multiple projects and stakeholders across both business and technical domains, while also showcasing your skills in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart will be essential for effective project management. Technical exposure in AI/ML is a must-have for this role, encompassing familiarity with the AI/ML project lifecycle, ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). You will be well-versed in MLOps practices, model versioning, and CI/CD pipelines for ML, collaborating closely with data scientists, ML engineers, and DevOps teams to deliver innovative AI/ML solutions. Your ability to translate business challenges into AI/ML use cases and efficiently manage delivery timelines will be paramount. In addition to your technical acumen, you will exhibit strong leadership qualities, effective decision-making skills, and impeccable organizational abilities. Your excellent communication and stakeholder management aptitudes will enable you to influence and secure buy-in from executive sponsors and cross-functional teams. Building and nurturing relationships with business leaders and technical stakeholders will be crucial for the success of AI/ML projects under your purview. Your roles and responsibilities will include leading AI/ML and software development projects end-to-end, collaborating with data science and engineering teams to define project scope and deliverables, and maintaining detailed project plans aligned with business objectives. You will monitor progress, mitigate risks, ensure timely delivery of AI/ML models and software components, and facilitate alignment between business, data, and engineering stakeholders. Tracking project metrics, ROI, and model performance post-deployment, while ensuring compliance with data governance, security, and ethical AI standards, will be integral to your responsibilities. Continuous improvement in project execution and delivery frameworks, staying abreast of AI/ML trends, and contributing to strategic planning for future initiatives will be key aspects of your role as an Associate Project Manager in AI/ML.,