210 Interpretability Jobs

Role Overview We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. Responsibilities The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business Responsibilities : Analyze structured and unstructured data to identify trends, patterns, and opportunities. Propose and validate AI/ML use cases based on business data and stakeholder needs. Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. Ensure data quality, model interpretability, and ethical AI practices. Document experiments, share findings, and contribute to knowledge sharing within the Skills & Qualifications : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field. 34 years of hands-on experience in data science and machine learning. Proficient in Python and ML libraries. Experience with data wrangling, feature engineering, and model evaluation. Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). Strong communication and storytelling skills with a data-driven mindset. (ref:hirist.tech)

Role : Sr ML Engineer - 4yrs experience - Remote Experience : 4+ Yrs Location: Bangalore/Remote Notice Period : 15 Days/ Immediate Skills : ML Engineer, Python, Deep Learning, Computer Vision, Image Processing Salary Range : 12 LPA , based on skills, experience, and interview performance Job Responsibilities: ● Deep Learning & Computer Vision Model Development: Lead and contribute to the development of deep learning-based computer vision models for real-world applications (e.g., image recognition, object detection, segmentation, tracking, etc.). ● Research & Innovation: Stay up-to-date with the latest advancements in deep learning, computer vision, and AI technologies. Evaluate and implement cutting-edge techniques to improve model performance and scalability. ● End-to-End Solution Deployment: Take responsibility for the full life cycle of a project, from conceptualizing solutions to deploying and maintaining deep learning models in production. ● Code Optimization & Model Performance: Develop and fine-tune algorithms for real-time and large-scale image/video processing. Optimize code for performance, efficiency, and scalability. ● Collaboration & Mentorship: Work closely with cross-functional teams (e.g., data scientists, software engineers, product managers) to design and implement practical AI solutions. Guide and mentor junior engineers and data scientists, providing technical leadership and ensuring high-quality code and designs. ● Research Paper Review & Knowledge Sharing: Review and contribute to research papers and publications. Organize and lead internal knowledge-sharing sessions on new techniques, industry trends, and best practices. ● Documentation & Reporting: Document models, processes, and experiments. Provide clear and concise reports on findings and progress to the leadership team. Required Skills & Qualifications: ● Industry Experience: Minimum of 3 years of industry experience working on deep learning and computer vision projects, with a strong focus on practical implementations. ● Proficiency in Python: Advanced knowledge of Python and its deep learning libraries (TensorFlow, PyTorch, Keras, OpenCV, etc.). Familiarity with other languages is a plus (e.g., C++, CUDA). ● Deep Learning Frameworks: Extensive experience using deep learning frameworks (e.g., TensorFlow, PyTorch) to develop and train models for various computer vision tasks. ● Computer Vision Expertise: Strong understanding of computer vision algorithms, techniques, and applications (e.g., object detection, segmentation, facial recognition, optical flow, etc.). ● Model Deployment: Experience with model deployment tools and techniques (e.g., TensorFlow Serving, Docker, cloud services like AWS, Azure, etc.). ● Mentorship & Leadership: Proven ability to mentor and guide junior engineers and data scientists in the team, providing technical support and helping them grow in their careers. ● Problem-Solving & Critical Thinking: Strong analytical and problem-solving skills. Ability to break down complex challenges and come up with innovative, scalable solutions. ● Communication Skills: Excellent written and verbal communication skills. Ability to explain technical concepts to non-technical stakeholders and present findings clearly. Preferred Qualifications: ● Master's or PhD in Computer Science, Engineering, or a related field. ● Experience with cloud-based services (AWS, GCP, or Azure) for deploying deep learning models. ● Familiarity with model explainability and interpretability tools.

Role Overview: We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: Analyze structured and unstructured data to identify trends, patterns, and opportunities. Propose and validate AI/ML use cases based on business data and stakeholder needs. Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. Ensure data quality, model interpretability, and ethical AI practices. Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 3–4 years of hands-on experience in data science and machine learning. Proficient in Python and ML libraries Experience with data wrangling, feature engineering, and model evaluation. Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). Strong communication and storytelling skills with a data-driven mindset.

🚀 We're Hiring: Data Scientist (AI/ML | Industrial IoT | Time Series) 📍 Location: Hyderabad 🧠 Experience: 5+ Years Join our AI/ML initiative to predict industrial alarms from complex sensor data in refinery environments. You'll lead the development of predictive models using time series data, maintenance logs, and work in an Expert-in-the-Loop (EITL) setup with domain experts. 🔍 Key Responsibilities: Develop ML models for anomaly detection & alarm prediction from sensor/IoT time series data. Collaborate with domain experts to validate model outputs. Implement data preprocessing, feature engineering & scalable pipelines. Monitor model performance, drift, explainability (SHAP, confidence), and retraining. Contribute to production-grade MLOps workflows. ✅ What You Bring: 5+ yrs experience in Data Science/ML, especially with time series models (LSTM, ARIMA, Autoencoders). Proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch). Hands-on with IoT/sensor data in manufacturing/industrial domains. Experience with MLOps tools (MLflow, SageMaker, Kubeflow). Strong grasp of model interpretability, ETL (Pandas, PySpark, SQL), and cloud deployment. ✨ Bonus Points: Background in oil & gas, SCADA systems, maintenance logs, or industrial control systems. Experience with cloud platforms (AWS/GCP/Azure) and alarm classification standards.

About the Role We are seeking a highly experienced and strategic AI/ML Architect to lead the design, development, and deployment of scalable artificial intelligence and machine learning solutions. As a core member of our technical leadership team, you will play a pivotal role in building intelligent systems that drive innovation and transform digital healthcare delivery across our AI Driven Telemedicine platform. Key Responsibilities Architect AI/ML systems that support key business goals, from real-time diagnosis and predictive analytics to natural language conversations and recommendation engines. Design and oversee machine learning pipelines, model training, validation, deployment, and performance monitoring. Guide selection of ML frameworks (e.g., TensorFlow, PyTorch) and ensure proper MLOps practices (CI/CD, model versioning, reproducibility, drift detection). Collaborate with cross-functional teams (data engineers, product managers, UI/UX, backend developers) to integrate AI into real-time applications and APIs. Build and maintain scalable AI infrastructure, including data ingestion, storage, and processing layers in cloud environments (AWS, GCP, or Azure). Lead research and experimentation on generative AI, NLP, computer vision, and deep learning techniques relevant to healthcare use cases. Define data strategies, governance, and model explainability/ethics frameworks to ensure compliance with regulatory standards like HIPAA. Mentor and lead a growing team of ML engineers and data scientists. Qualifications Must-Have: Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field (PhD preferred). 7+ years of experience in AI/ML development, with at least 2 years in a lead or architect role. Proven experience designing and deploying production-grade ML systems at scale. Strong grasp of ML algorithms, deep learning, NLP, computer vision, and generative AI. Expertise in Python, ML libraries (TensorFlow, PyTorch, Scikit-learn), and ML Ops tools (MLflow, Kubeflow, SageMaker, etc.). Familiarity with data engineering pipelines (Airflow, Spark, Kafka) and cloud platforms. Strong communication and collaboration skills. Preferred: Experience with healthcare data standards (FHIR, HL7) and medical ontologies (SNOMED CT, ICD). Familiarity with AI ethics, fairness, and interpretability frameworks. Startup or early-stage product development experience.

Position Type Full time Type Of Hire Experienced (relevant combo of work and education) Education Desired Bachelor of Technology Travel Percentage 0% What you will be doing Consulting & Strategy Assess client needs and identify opportunities for agentic AI integration Develop strategic roadmaps for deploying autonomous AI agents across business functions Educate stakeholders on the capabilities, risks, and ethical considerations of agentic AI Lead end-to-end delivery of RPA and Gen AI projects across BFS clients Strong domain knowledge of BFS processes (e.g., Lending, Deposits, KYC, AML, loan processing, risk management) Collaborate with business stakeholders to gather requirements, define project scope, and translate them into technical specifications Manage cross-functional teams including developers, data scientists, business analysts, and QA Drive project planning, execution, risk management, and stakeholder communication Evaluate and recommend RPA tools (e.g., UiPath, Automation Anywhere) and Gen AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI) Ensure compliance with BFS industry regulations and data privacy standards Monitor KPIs and ROI of automation and AI initiatives Stay updated with emerging trends in AI, RPA, and BFS technologies Solution Design & Implementation Assist in Design of agentic AI architectures using LLMs, multi-agent systems, and tool-augmented reasoning frameworks Collaborate with data scientists, engineers, and product teams to prototype and deploy AI agents Integrate agents with APIs, databases, and enterprise tools to enable real-world action-taking Evaluation & Optimization Define KPIs and evaluation metrics for agent performance Continuously monitor, test, and refine agent behavior to ensure alignment with business goals Stay current with the latest research and tools in agentic AI, LLMs, and autonomous systems What you Bring Bachelor’s or master’s degree in computer science, Information Technology, or related field 10+ years of experience in IT project management, with at least 3–5 years in RPA and/or Gen AI Strong domain knowledge of BFS processes (e.g., KYC, AML, loan processing, risk management) Hands-on experience with RPA tools (UiPath, Blue Prism, Automation Anywhere) Familiarity with Gen AI models and platforms (LLMs, prompt engineering, fine-tuning) Familiarity with APIs, cloud platforms (AWS, Azure, GCP), and data integration pipelines Proven ability to manage large-scale digital transformation projects Excellent communication, stakeholder management, and leadership skills Preferred Qualifications~ Experience integrating AI solutions with legacy BFS systems Exposure to cloud platforms (Azure, AWS, GCP) Understanding of data governance and AI ethics in BFS Experience with autonomous agents in real-world applications (e.g., customer support, research automation, workflow orchestration) Knowledge of reinforcement learning, planning algorithms, or cognitive architectures Understanding of AI safety, alignment, and interpretability challenges Added Bonus If You Have 1-year of customer service experience 1-year experience working in a high-volume call center Excellent customer service skills that build high levels of customer satisfaction What We Offer You A competitive salary with attractive benefits including private medical and dental coverage insurance A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities A modern work environment and a dedicated and motivated team A broad range of professional education and personal development opportunities A work environment built on collaboration and respect Privacy Statement FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. #pridepass

Bangalore North, India | Posted on 07/29/2025 Share job via email Share this job with your network Job Information Job Type Full time Date Opened 07/29/2025 Project Code PRJ000 Industry IT Services Work Experience 5- 10 years City Bangalore North State/Province Karnataka Country India Zip/Postal Code 560001 About Us

Budget 0 Job Description Position: AI/ML Solution Architect (GenAI Specialist) Team: ML/GenAI Team Number of Resources Needed: 1 Years of Experience: 3-5 Years Educational Background: BCA, MCA, B.Tech/B.E, M.Tech/ME Type: Full-time Expected Joining Date: ASAP Role Summary: We are looking for an AI/ML Solution Architect with expertise in Generative AI (GenAI) to help design, build, and deploy cutting-edge AI solutions. Whether working in the rapid-paced innovation cycle of a startup or scaling production-grade GenAI systems for enterprise clients, you will serve as a key enabler of value-driven, secure, and scalable AI deployments. Key Responsibilities: Collaborate with sales teams to understand customer requirements and provide expert guidance on ML/Generative AI solutions across a wide range of use cases: content generation, document automation, chatbots, virtual assistants, summarization, search, personalization, and more. Evaluate and integrate open-source LLMs (e.g., LLaMA, Mistral, Falcon), commercial APIs (e.g., GPT-4, Claude, Gemini), and cloud-native GenAI platforms (e.g., AWS Bedrock, Azure OpenAI). Design and deliver compelling Solution and SoW and demonstrations of our Generative AI offerings to both technical and non-technical audiences. Design Retrieval-Augmented Generation (RAG), prompt engineering strategies, vector database integrations, and model fine-tuning where required. Translate business objectives into technical roadmaps, collaborating closely with product managers, engineers, and data scientists. Create prototypes and proof-of-concepts (PoCs) to validate solution feasibility and performance. Provide technical mentorship, best practices, and governance guidance across teams and clients. Skills & Experience Required: Educational Background: Master’s/Bachelor’s degree in computer science, Engineering, or a related field. (e.g., BCA, MCA, B.Tech/B.E, M.Tech/ME) 3-5 years of experience in AI/ML development/solutioning, with at least 1-2 years in Generative AI/NLP applications. Strong command of transformers, LLMs, embeddings, and NLP methods. Proficiency with LangChain, LlamaIndex, Hugging Face Transformers, and cloud AI tools (SageMaker, Bedrock, Azure OpenAI, Vertex AI). Experience with vector databases like FAISS, Pinecone, or Weaviate. Familiarity with MLOps practices, including model deployment, monitoring, and retraining pipelines. Skilled in Python, with working knowledge of APIs, Docker, CI/CD, and RESTful services. Experience in building solutions in both agile startup environments and structured enterprise settings. Preferred/Bonus Skills: Certifications (e.g., AWS Machine Learning Specialty, Azure AI Engineer). Exposure to multimodal AI (text, image, audio/video) and Agentic AI. Experience with data privacy, responsible AI, and model interpretability frameworks. Familiarity with enterprise security, scalability, and governance standards. Soft Skills: Entrepreneurial mindset with a bias for action and rapid prototyping. Strong communication and stakeholder management skills. Comfortable navigating ambiguity in startups and structured processes in enterprises. Team player with a passion for continuous learning and AI innovation. What We Offer: The flexibility and creativity of a startup-style team with the impact and stability of enterprise-scale work. Opportunities to work with cutting-edge GenAI tools and frameworks. Collaborative environment with cross-functional tech and business teams. Career growth in a high-demand, high-impact AI/ML domain.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you’ll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express Smart Monitoring is an industry-leading and an award-winning Risk Monitoring/Control Testing platform owned and managed by the Global Risk Compliance and it leverages high technology, automation, and data science to detect, predict and prevent risks. Its patent-pending approach uniquely combines advances in data science and technology (AI, machine learning, cloud computing) to transform risk management. The Smart Monitoring Center of Excellence is a comprised of group of experts that leverage the Smart Monitoring platform to build and manage Key Risk Indicators (KRIs) and Automated Control Tests (ACTs) that monitor risks and detect control failure across AXP, supporting Business Units and Staff Groups, Product Lines and Processes. Smart Monitoring Center of Excellence team supports the businesses with a mission to enable business growth and objectives while maintaining a strong control environment. We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include: Lead the design and implementation of NLP & GenAI based solutions for real time identification of Key Risk Indicators. Owning the architecture and roadmap of the models and tools from ideation to productionizing Lead a team of data scientists, providing mentorship, performance coaching and technical guidance to build domain depth and deliver excellence Champion governance, interpretability of models from validation point of view Lead R&D efforts to leverage external data (social forums, etc.) to generate insights for operational/compliance risks Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping Collaborate with Model consumers, data Engineers, and all related stakeholders to ensure precise implementation of solutions Qualifications: · Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results · Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy · Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects · Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus · Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent) · Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent) · Experience in building NLP solutions and/or GEN AI are strongly preferred · Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously. · Team player with strong relationship building, management and influencing skills · Strong verbal and written communication skills American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. What you will do Let’s do this. Let’s change the world. In this vital role you will as a Senior Associate IS Business Systems Analyst with strong data science and analytics expertise to join the Digital Workplace Experience (DWX) Automation & Analytics product team. In this role, you will develop, maintain, and optimize machine learning models, forecasting tools, and operational dashboards that support strategic and day-to-day decisions for global digital workplace services. This role is ideal for candidates with hands-on experience building predictive models and working with large operational datasets to uncover insights and deliver automation solutions. You will work alongside product owners, engineers, and service leads to deliver measurable business value using data-driven tools and techniques. Roles and Responsibilities Design, develop, and maintain predictive models, decision support tools, and dashboards using Python, R, SQL, Power BI, or similar platforms. Partner with delivery teams to embed data science outputs into business operations, focusing on improving efficiency, reliability, and end-user experience in Digital Workplace services. Build and automate data pipelines for data ingestion, cleansing, transformation, and model training using structured and unstructured datasets. Monitor, maintain, and tune models to ensure accuracy, interpretability, and sustained business impact. Support efforts to operationalize ML models by working with data engineers and platform teams on integration and automation. Conduct data exploration, hypothesis testing, and statistical analysis to identify optimization opportunities across services like endpoint health, service desk operations, mobile technology, and collaboration platforms. Provide ad hoc and recurring data-driven recommendations to improve automation performance, service delivery, and capacity forecasting. Develop reusable components, templates, and frameworks that support analytics and automation scalability across DWX. Collaborate with other data scientists, analysts, and developers to implement best practices in model development and lifecycle management. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The vital attribute professional we seek is with these qualifications. Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years in Data Science, Computer Science, IT, or related field Must Have Skill Experience working with large-scale datasets in enterprise environments and with data visualization tools such as Power BI, Tableau, or equivalent Strong experience developing models in Python or R for regression, classification, clustering, forecasting, or anomaly detection Proficiency in SQL and working with relational and non-relational data sources Nice-to-Have Skills Familiarity with ML pipelines, version control (e.g., Git), and model lifecycle tools (MLflow, SageMaker, etc.) Understanding of statistics, data quality, and evaluation metrics for applied machine learning Ability to translate operational questions into structured analysis and model design Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, Snowflake, or BigQuery Familiarity with automation tools or scripting (e.g., PowerShell, Bash, Airflow) Working knowledge of Agile/SAFe environments Exposure to ITIL practices or ITSM platforms such as ServiceNow Soft Skills Analytical mindset with attention to detail and data integrity Strong problem-solving and critical thinking skills Ability to work independently and drive tasks to completion Strong collaboration and teamwork skills Adaptability in a fast-paced, evolving environment Clear and concise documentation habits EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Alphanext Alphanext is a global talent solutions company with offices in London, Pune, and Indore. We connect top-tier technical talent with forward-thinking organizations to drive innovation and transformation through technology. Position Summary Alphanext is hiring an AI Data Scientist with deep expertise in machine learning, deep learning, and statistical modeling. This role requires end-to-end experience in designing, developing, and deploying AI solutions in production environments. Ideal candidates will bring a strong analytical foundation, hands-on technical capability in Python/SQL, and a passion for solving complex business problems using AI. Key Responsibilities Research, design, and implement advanced machine learning and deep learning models for predictive and generative AI use cases. Apply statistical methods to ensure model interpretability, robustness, and reproducibility. Conduct large-scale data analysis to uncover trends, patterns, and opportunities for AI-based automation. Collaborate with ML engineers to validate, train, optimize, and deploy AI models into production environments. Continuously improve model performance using techniques such as hyperparameter tuning, feature engineering, and ensemble methods. Keep up to date with the latest advancements in AI, deep learning, and statistical modeling to propose innovative solutions. Translate complex analytical outputs into clear insights for both technical and non-technical stakeholders. Required Skills 4+ years of experience in machine learning and deep learning with a focus on model development, optimization, and deployment. Strong programming skills in Python and SQL . Proven experience in developing and applying mathematical/statistical models for business applications. Proficiency in data visualization tools such as Power BI . Hands-on experience in at least one of the following domains: finance, trading, biomedical modeling, image-based AI, or recommender systems. Strong understanding of statistical theory and modern AI algorithms. Excellent communication skills and the ability to explain complex models in a simple, impactful manner. Nice to Have / Preferred Skills Experience deploying AI solutions in production environments using MLOps practices. Familiarity with cloud-based AI/ML services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). Exposure to compliance, data privacy, or ethical AI practices in enterprise settings. Background in applied mathematics or statistics with a focus on AI model interpretability. Qualifications Master//'s or PhD in Statistics, Mathematics, Computer Science, or a related technical field. Demonstrated track record of AI model deployment in real-world business applications.

Role Overview: We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: Analyze structured and unstructured data to identify trends, patterns, and opportunities. Propose and validate AI/ML use cases based on business data and stakeholder needs. Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. Ensure data quality, model interpretability, and ethical AI practices. Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. 3–4 years of hands-on experience in data science and machine learning. Proficient in Python and ML libraries Experience with data wrangling, feature engineering, and model evaluation. Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). Strong communication and storytelling skills with a data-driven mindset.

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com. What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. We are a profitable rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of these will lead to a truly differentiated experience for you. If this excites you, then apply below. Role: Senior Analyst - Data Science Descriptions: We are looking for a results-driven and hands-on Lead Data Scientist / Analyst with 56 years of experience to lead analytical solutioning and model development in the pharmaceutical commercial analytics domain. The ideal candidate will play a central role in designing and deploying Decision Engine frameworks, implementing advanced analytics solutions, and mentoring junior team members. Key Responsibilities Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions. Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies. Analyze large and complex datasets across sources like APLD, sales, CRM, call plans, market share, patient claims, and segmentation data. Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams. Develop, validate, and maintain predictive models for use cases such as patient journey analytics, HCP targeting, sales forecasting, risk scoring, and marketing mix modeling. Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models. Ensure data quality through systematic QC checks, test case creation, and validation frameworks. Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows. Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics. Must Have 5 years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling. At least 3 years of experience developing and deploying predictive models and ML pipelines in real-world settings. Proven experience with data platforms such as Snowflake, Dataiku, AWS, and proficiency in PySpark, Python, and SQL. Experience with MLOps practices, including version control, model monitoring, and automation. Strong understanding of pharmaceutical data assets (e.g., APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement). Proficiency in ML algorithms (e.g., XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP). Experience in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering. Hands-on expertise in building explainable ML models and using tools for model monitoring and retraining. Familiarity with dashboarding tools like Tableau or PowerBI is a plus. Strong communication and documentation skills to effectively convey findings to both technical and non-technical audiences. Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidates merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. Locations - Bangalore, KA, IN

Job Title Data Robot Machine Learning Specialist Relevant Experience 5 – 8 years (minimum 2 years hands-on with Data Robot Auto ML platform) Location Remote / Hybrid (Preferred: Chennai, India) Type of Hire Open to Persons with Disabilities (PwD) and Non-PwD candidates Availability Immediate joiners preferred Role Summary We are looking for a results-oriented Machine Learning professional with deep expertise in Data Robot to build, deploy, and monitor high-impact ML models across diverse business domains. You will own the end-to-end modeling lifecycle—from data preparation and project setup in DataRobot through production deployment and performance tracking—while guiding stakeholders on best practices for responsible AI. Must-Have Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, or related field 2+ years direct experience with DataRobot (v7+)—AutoPilot, Feature Discovery, MLOps, and APIs Strong Python or R skills for custom modeling and data wrangling Solid grasp of supervised & unsupervised algorithms, evaluation metrics, and model interpretability techniques Hands-on SQL; familiarity with data warehouses (Snowflake, BigQuery, Redshift, etc.) Experience deploying models via REST endpoints or message queues (Kafka, RabbitMQ) Comfort presenting technical results to business stakeholders

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Amgen is seeking a Sr. Associate IS Business Systems Analyst with strong data science and analytics expertise to join the Digital Workplace Experience (DWX) Automation & Analytics product team. In this role, you will develop, maintain, and optimize machine learning models, forecasting tools, and operational dashboards that support strategic and day-to-day decisions for global digital workplace services. This role is ideal for candidates with hands-on experience building predictive models and working with large operational datasets to uncover insights and deliver automation solutions. You will work alongside product owners, engineers, and service leads to deliver measurable business value using data-driven tools and techniques. Roles and Responsibilities Design, develop, and maintain predictive models, decision support tools, and dashboards using Python, R, SQL, Power BI, or similar platforms. Partner with delivery teams to embed data science outputs into business operations, focusing on improving efficiency, reliability, and end-user experience in Digital Workplace services. Build and automate data pipelines for data ingestion, cleansing, transformation, and model training using structured and unstructured datasets. Monitor, maintain, and tune models to ensure accuracy, interpretability, and sustained business impact. Support efforts to operationalize ML models by working with data engineers and platform teams on integration and automation. Conduct data exploration, hypothesis testing, and statistical analysis to identify optimization opportunities across services like endpoint health, service desk operations, mobile technology, and collaboration platforms. Provide ad hoc and recurring data-driven recommendations to improve automation performance, service delivery, and capacity forecasting. Develop reusable components, templates, and frameworks that support analytics and automation scalability across DWX. Collaborate with other data scientists, analysts, and developers to implement best practices in model development and lifecycle management. What we expect of you We are all different, yet we all use our outstanding contributions to serve patients. The vital attribute professional we seek is with these qualifications. Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years in Data Science, Computer Science, IT, or related field Must Have Skills Experience working with large-scale datasets in enterprise environments and with data visualization tools such as Power BI, Tableau, or equivalent Strong experience developing models in Python or R for regression, classification, clustering, forecasting, or anomaly detection Proficiency in SQL and working with relational and non-relational data sources Nice-to-Have Skills Familiarity with ML pipelines, version control (e.g., Git), and model lifecycle tools (MLflow, SageMaker, etc.) Understanding of statistics, data quality, and evaluation metrics for applied machine learning Ability to translate operational questions into structured analysis and model design Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, Snowflake, or BigQuery Familiarity with automation tools or scripting (e.g., PowerShell, Bash, Airflow) Working knowledge of Agile/SAFe environments Exposure to ITIL practices or ITSM platforms such as ServiceNow Soft Skills Analytical mindset with attention to detail and data integrity Strong problem-solving and critical thinking skills Ability to work independently and drive tasks to completion Strong collaboration and teamwork skills Adaptability in a fast-paced, evolving environment Clear and concise documentation habits EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

As a Senior Scientist specializing in Responsible AI & Research Integration, you will be playing a critical role in bridging the gap between academic research in AI safety and the practical development of AI products. Based in Bangalore, this high-impact position requires 10 to 18 years of experience in the field. Your primary responsibility will be to advance the frontiers of Responsible AI and AI safety through both foundational and applied research. Approximately 60% of your time will be dedicated to conducting research on topics such as model alignment, transparency, behavioral safety, and oversight mechanisms for autonomous systems. The remaining 40% will involve translating these research insights into practical tools, features, and governance components that can be integrated into internal systems and external offerings. Collaboration will be key in this role, as you will work closely with the AI Research Lab and Responsible AI Office to define research agendas and translate findings into product features and governance frameworks. Additionally, you will be involved in building partnerships with academic labs, participating in external working groups, and providing strategic intelligence on the evolving ecosystem of responsible AI technologies and companies. Your responsibilities will also include developing product roadmap specifications, evaluating early-stage startups in the AI safety space, and monitoring the competitive landscape to identify market gaps in responsible AI tooling. Building collaborative relationships with academic labs, research consortia, and external fellows, as well as representing the company in research summits and public forums, will be part of your external engagement activities. To excel in this role, you should have a PhD in Computer Science, Artificial Intelligence, or a related discipline, with a strong publication record in AI safety research. Experience in translating research into production-ready tools, collaborating with interdisciplinary teams, and evaluating early-stage AI companies will be essential. Strong communication skills, the ability to synthesize insights from academic research, and a network within the responsible AI research community will also be valuable assets. If you are passionate about driving advancements in Responsible AI, thriving at the intersection of science, systems thinking, and strategic influence, and have a track record of contributing to cutting-edge research and product development, this role offers a unique opportunity to make a significant impact in the field.,

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , 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’s 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 genpact.com and on LinkedIn , X , YouTube , and Facebook Inviting applications for the role of Principal Consultant, Tester Credit Lending, AI-ML, & GenAI In this role, you will be responsible for detail-oriented lead Tester role for next-generation Credit Lending powered by AI/ML and Generative AI. This role combines financial domain expertise with technical QA leadership to ensure high-quality delivery of intelligent credit risk systems, loan origination workflows, and AI-enhanced decision engines. Responsibilities Design, develop, and execute manual and automated test cases for Credit Lending with AI/ML and GenAI integrations. Lead QA efforts for platforms and tools related to credit scoring, loan origination, underwriting automation , and risk assessment . Design and drive test strategies for systems integrating AI/ML models for credit risk prediction, fraud detection, and customer profiling. Validate Generative AI-driven outputs such as auto-generated credit summaries, customer communication drafts, and intelligent document processing. Review, define, and execute test plans, test cases, and test data for lending workflows involving AI/ML algorithms and scoring engines. Collaborate with data scientists and credit analysts to understand model behavior , thresholds, feature importance , and ensure explainability. Perform functional, regression, data integrity, and model validation testing . Use tools like Postman, Python, SQL, Selenium, or custom frameworks to automate and streamline QA processes. Ensure compliance with regulatory standards (e.g., FCRA, GDPR, lending regulations) and AI fairness, bias, and transparency . Work with product and business stakeholders to align QA strategy with lending KPIs and credit policy outcomes . Qualifications we seek in you! Minimum Qualifications QA experience, with experience in a lead role . Proven domain knowledge in consumer or commercial lending , credit scoring , or loan lifecycle systems. Strong understanding of AI/ML workflows including model validation, supervised learning, and prediction-based decisioning. Exposure to Generative AI tools/APIs (e.g., OpenAI, Claude, Azure OpenAI) used in financial document automation or decision support. Experience with test automation frameworks (Selenium, TestNG, Python scripting) and API testing tools . Working knowledge of SQL for data validation and JSON/XML for API payload verification. Familiarity with credit industry platforms/tools like FICO, Experian, TransUnion APIs , or loan origination systems (LOS) . Strong communication skills and ability to work with cross-functional teams (Product, Data Science, Risk, Compliance). Data Science: Understand, analyze , and prepare data used in AI development. Preferred Qualifications/ Skills Experience with model governance tools , bias/fairness audits, or AI observability platforms. Certifications in AI/ML , ISTQB , or credit analytics . Understanding of explainable AI (XAI) and credit model interpretability techniques (e.g., SHAP, LIME). Experience with CI/CD pipelines , version control (Git), and Agile methodologies. Testing including API testing, Experience in Coding in Python Exposure to conversation design , dialogue flow , or intent training . Certifications in AI/ML or GenAI , cloud technologies. 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’s 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 'starter kit,' paying to apply, or purchasing equipment or training. Job Principal Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 25, 2025, 8:45:43 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

Company Description About Sutherland Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence. We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model. For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships. Sutherland Unlocking digital performance. Delivering measurable results. Job Description We are hiring a quality-focused AI Tester to design and execute validation frameworks for AI models and systems. Reporting to the AI Manager, this role ensures that AI solutions meet accuracy, performance, reliability, and ethical compliance benchmarks before production deployment. Key Responsibilities: Develop and execute test plans and cases for AI/ML models, GenAI solutions, and agent-based systems. Validate model outputs for accuracy, precision, recall, latency, and interpretability across diverse datasets. Conduct bias testing, data drift analysis, and adversarial robustness validation. Collaborate with AI developers, data scientists, and business analysts to define acceptance criteria. Automate testing pipelines and integrate with CI/CD environments where applicable. Maintain traceability matrices, defect logs, and model validation documentation. Qualifications Required Qualifications: 3–5 years of experience in software testing or QA, with at least 1–2 years in AI/ML or data-centric testing. Strong understanding of AI model evaluation metrics, data sampling, and validation techniques. Experience using testing frameworks (e.g., PyTest, Great Expectations) and visualization tools. Familiarity with Python, JSON, and REST APIs. Bachelor’s degree in Computer Science, Statistics, or a related field. Preferred Skills: Experience testing LLMs, GenAI prompts, or RAG workflows. Exposure to responsible AI frameworks and model audit practices. ISTQB or other QA certifications are a plus.

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Defines and ensures implementation of principle research and technology predevelopment guidelines, and oversees and manages research and predevelopment in assigned technology fields and /or specialized areas of work. Join our global team at Siemens Healthineers as the Head of AI Centre of Excellence within the Enterprise Services (ES) business. You will lead the on-site execution of large-scale, integrated healthcare projects across equipment, software, and service delivery within the Cancer Innovation Value Partnership (CIVP) in Edmonton, Alberta. Position Overview Head of AI Centre of Excellence in Cancer Care Located in Edmonton, Alberta, Canada, the AI Centre of Excellence in Cancer Care is the central hub for R&D in Artificial Intelligence (AI) for Siemens Healthineers in Canada. Our research scientists and software engineers specialize in using large collections of data to build artificial intelligence solutions for healthcare, in close collaboration Alberta Health Services, government agencies, and universities. Our research will translate to a multitude of clinical products and services concentrated on improving quality of care in oncology. The focus will be to advance the integration of the oncology care continuum in Alberta, from primary prevention, screening, and early detection, through to survivorship, palliative, and end-of-life care, and to improve outcomes and/or experiences for those diagnosed with cancer. Position Summary We are seeking a visionary and experienced leader to establish and drive our AI Centre for Excellence in Cancer Care . This role will oversee the strategic direction, scientific agenda, and operational execution of AI-driven solutions that accelerate innovation from bench to bedside, improving diagnosis, treatment planning, therapy response, and patient outcomes in oncology. The ideal candidate combines deep expertise in artificial intelligence and translational oncology with proven leadership skills and a strong track record of cross-functional collaboration in academia, industry, or both. Key Responsibilities AI Strategy and Vision Define and execute the vision and strategy of the AI Centre of Excellence, aligned with Siemens Healthineers and Alberta Health Services. Foster a culture of excellence, innovation, and impact across AI, data science, clinical, and translational teams. Lead AI Research and Development Develop and oversee AI-driven autonomous and semi-autonomous systems that enhance decision-making, workflow automation, and personalized patient care. Collaborate with C-level executives, product managers, and clinicians to identify high-impact use cases and ensure AI solutions deliver measurable value. Lead the design, development, and deployment of next-generation AI models that can reason, plan, and act autonomously within healthcare settings. Work closely with data scientists, software engineers, clinicians, and regulatory teams to bridge AI innovation with real-world medical applications. Integrate AI into Clinical Workflows: Oversee the integration of large-scale multimodal AI systems, leveraging medical imaging, electronic health records, real-time monitoring, and other healthcare data sources. Guide the transition from AI research to scalable, real-world deployments in hospitals, diagnostics, and digital health platforms in Alberta province and worldwide. Define key performance metrics (KPIs) and clinical validation benchmarks for AI-driven systems. Collaborative Innovation Partner with academic institutions, industry leaders, startups, and healthcare providers to advance AI capabilities and adoption in cancer care. Represent the AI Center internally across R&D, clinical, regulatory, and commercial groups, and externally in key conferences and consortia. Operational Excellence Oversee resource planning, talent acquisition, and team development. Manage budgets, KPIs, and ensure delivery of milestones from proof-of-concept to clinical deployment. AI Safety, Compliance & Ethics: Foster research in AI safety, reliability, and interpretability to ensure models adhere to clinical-grade performance and ethical standards. Ensure compliance with global healthcare AI regulations and emerging AI safety frameworks. Qualifications PhD, MD, or MD/PhD in computer science, biomedical engineering, medical physics, or a related field, with significant specialization in AI and oncology. 10+ years of leadership experience in AI research or translational oncology innovation. Demonstrated success in building AI-driven solutions with measurable clinical impact. Strong understanding of regulatory and ethical frameworks (e.g., FDA/EMA/ISO, GCP, GDPR) for medical AI. Exceptional communication and leadership skills; ability to inspire multidisciplinary teams. Proven experience in securing grants, publishing in top journals, or contributing to product pipelines. Preferred Attributes Experience with clinical trials or product development in oncology. Familiarity with radiation therapy, digital pathology, radiomics, liquid biopsy, or multi-omics integration. Track record of innovation and IP generation in medical AI. Global perspective and ability to navigate diverse healthcare ecosystems. About The Program You will be part of a transformative long-term partnership aimed at innovating cancer care delivery in Alberta. The Cancer Innovation Value Partnership (CIVP) brings together Siemens Healthineers’ world-class technologies, services, and consulting expertise to enable a more sustainable, precise, and patient-centric oncology pathway. Learn more: https://www.siemens-healthineers.com/services/value-partnerships Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. To find out more about Siemens Healthineers' businesses, please visit our company page at Siemens Healthineers Canada. The Annual Base Pay For This Position Is Min $142,100 - Max 192,100 Base pay offered may vary depending on job-related knowledge, skills, and experience. Siemens Healthineers offers a variety of health and wellness benefits including paid time off and holiday pay. This information is provided per the required laws and regulations. Base pay information is based on market location. Applicants should apply via Siemens Healthineers external or internal careers site. Equal Employment Opportunity Statement: Siemens Healthineers is committed to creating a diverse environment and is proud to be an equal opportunity employer. While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted. Accessibility: Siemens Healthineers is committed to excellence in serving all employees and customers, including people with disabilities. Siemens Healthineers will strive to ensure that policies and procedures established with respect to the provisions of its goods and services to persons with disabilities are consistent with the principles of dignity, independence, integration and equal opportunity as provided in the Accessibilities for Ontarians with Disabilities Act, 2005. Siemens Healthineers will continue to attempt to meet the needs of all its customers, including but not limited to persons with disabilities, in an effective and timely manner. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you’re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status. Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started. By submitting personal information to Siemens Healthineers or its affiliates, service providers and agents, you consent to our collection, use and disclosure of such information for the purposes described in our Privacy Notice here. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes. Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.

We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: - Analyze structured and unstructured data to identify trends, patterns, and opportunities. - Propose and validate AI/ML use cases based on business data and stakeholder needs. - Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. - Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). - Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. - Ensure data quality, model interpretability, and ethical AI practices. - Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - 3–4 years of hands-on experience in data science and machine learning. - Proficient in Python and ML libraries - Experience with data wrangling, feature engineering, and model evaluation. -Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). - Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). - Strong communication and storytelling skills with a data-driven mindset. Note: Final Discussion Round will be F2F Job Type: Full-time Pay: ₹944,773.51 - ₹2,340,222.09 per year Work Location: In person

Line of Service Advisory Industry/Sector Not Applicable Specialism SAP Management Level Senior Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a SAP consulting generalist at PwC, you will focus on providing consulting services across various SAP applications to clients, analysing their needs, implementing software solutions, and offering training and support for effective utilisation of SAP applications. Your versatile knowledge will allow you to assist clients in optimising operational efficiency and achieving their strategic objectives. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations Job Description & Summary: A career within…. Responsibilities: AI Architecture & Development · Design and implement generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models). · Architect Retrieval-Augmented Generation (RAG) systems and multi-agent frameworks. · Fine-tune pre-trained models for domain-specific tasks (e.g., NLP, vision, genomics). · Ensure model scalability, performance, and interpretability. System Integration & Deployment · Integrate AI models into full-stack applications using modern frameworks (React, Node.js, Django). · Deploy models using cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI). · Implement CI/CD pipelines and containerization (Docker, Kubernetes). Collaboration & Leadership · Work with data scientists, engineers, and domain experts to translate business/scientific needs into AI solutions. · Lead architectural decisions across model lifecycle: training, deployment, monitoring, and versioning. · Provide technical mentorship and guidance to junior team members. Compliance & Documentation · Ensure compliance with data privacy standards (HIPAA, GDPR). · Maintain comprehensive documentation for models, systems, and workflows. --- Required Qualifications: · Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field. · 5+ years in AI/ML development; 3+ years in architecture or technical leadership roles. · Proficiency in Python, JavaScript, and frameworks like TensorFlow, PyTorch. · Experience with cloud platforms (AWS, Azure, GCP) and DevOps tools. · Strong understanding of NLP, computer vision, or life sciences applications. --- Preferred Qualifications: · Experience in domains like marketing, capital markets, or life sciences (e.g., drug discovery, genomics). · Familiarity with Salesforce Einstein and other enterprise AI tools. · Knowledge of regulatory standards (FDA, EMA) and ethical AI practices. · Experience with multimodal data (text, image, genomic, clinical). Mandatory skill sets: Gen AI Architect Preferred skill sets: Gen AI Years of experience required: 10+yrs Education qualification: Btech MBA MCA MTECH Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Architecture Optional Skills Generative AI Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: - Analyze structured and unstructured data to identify trends, patterns, and opportunities. - Propose and validate AI/ML use cases based on business data and stakeholder needs. - Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. - Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). - Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. - Ensure data quality, model interpretability, and ethical AI practices. - Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - 3–4 years of hands-on experience in data science and machine learning. - Proficient in Python and ML libraries - Experience with data wrangling, feature engineering, and model evaluation. -Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). - Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). - Strong communication and storytelling skills with a data-driven mindset. Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Work Location: In person

The Role As a Clinical Scientist, you will closely collaborate with other colleagues to support algorithm design hence knowledge in life science and biomedicine is critical. In addition, knowledge of NLP and AI will help you understand the product better. Key Responsibilities Communicate and collaborate with customers (including pharmaceutical companies and healthcare providers) to understand their needs and painpoints. Analyze clinical/biomedical data from clients and partners to gain insights to support NLP algorithm design. Analyze data output of algorithms and products and provide feedback to improve their clinical validity, interpretability, and generalizability. Design and develop internal tools to automate collection of clinical feedback for algorithms and products. Communicate with internal stakeholders (such as the technical team, senior clinical advisors, and marketing team) about clinical objectives, algorithm design and clinical feedback. Run early rounds of internal feedback gathering, before launching to users. Understand the high-level company vision and goals, and make sure these are reflected in ongoing algorithm design, clinical feedback collection, and client communication. Review clinically relevant documents (e.g. clinical guidelines, peer reviewed publications, other medical and scientific literature, deidentified patient data), formalize them into deliverables (for customers, colleagues, partners and public audiences, who may or may not have clinical expertise), and provide feedback to other team members. * Requirements Personal Traits A strong background with expertise in Life Science, Medicine or Biomedicine to support the transformation of client requirements to algorithm design. An enthusiasm for leveraging clinical data and AI approaches to close the gaps faced by real-world patients in their healthcare journeys. A strong intuition for what makes products a joy to use. Understanding of different user requirements and how to effectively serve the differing needs of customers through one platform. Strong written and verbal communication skills. Strong interpersonal skills and the ability to engage all levels of the organization (especially the front line). Ability to work collaboratively in a team environment. Educational background and technical skills: Medical degree (M.D., D.O, MBBS or equivalent) is preferred. Other types of advanced clinical training (e.g., Genetic counselors, Clinical Nurse Specialists, Nurse Practitioners, Physician Assistants/Associates) will also be considered. Appropriate certification relevant to level of clinical training (e.g., Board certification for physicians). Strong writing and presentation skills. Nice to Have: Relevant work experience, including internships, full or part time clinical, academia, or industry experience. Experience with research and medical communities and/or efforts, including having published papers (being listed as co-author) in peer-reviewed journals and/or presented posters/talks at biomedical conferences. Job Types: Full-time, Permanent Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Schedule: Monday to Friday UK shift Language: English (Required) Location: Delhi, Delhi (Required) Work Location: Remote

House of Shipping is seeking a high-caliber Data Science Lead to join their team in Hyderabad. With a background of 15-18 years in data science, including at least 5 years in leadership roles, the ideal candidate will have a proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing. Strong expertise in statistical learning, ML architecture, productionizing models, and impact tracking is essential for this role. As the Data Science Lead, you will be responsible for leading enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This position requires a blend of technical leadership and strategic alignment with various business units to deliver measurable business impact. Key responsibilities include defining and driving the data science roadmap across forecasting, route optimization, warehouse simulation, inventory management, and fraud detection. You will work closely with engineering teams to architect end-to-end pipelines, from data ingestion to API deployment. Proficiency in Python and MLOps tools like Scikit-Learn, XGBoost, PyTorch, MLflow, Vertex AI, or AWS SageMaker is crucial for success in this role. Collaboration with operations, product, and technology teams to prioritize AI use cases and define business metrics will be a key aspect of the job. Additionally, you will be responsible for managing experimentation frameworks, mentoring team members, ensuring model validation, and contributing to organizational data maturity. The ideal candidate will possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Statistics, or Operations Research. Certifications in Cloud ML stacks, MLOps, or Applied AI are preferred. To excel in this role, you should have a strategic vision in AI applications across the supply chain, strong team mentorship skills, expertise in statistical and ML frameworks, and experience in MLOps pipeline management. Excellent business alignment and executive communication skills are also essential for this position. If you are a data science leader looking to make a significant impact in the logistics industry, we encourage you to apply for this exciting opportunity with House of Shipping.,

Cyara is the world’s leading Automated CX Assurance Platform provider, helping leading brands across the globe deliver better CX with less effort, cost, and risk. Cyara supports the entire CX software development lifecycle, from design to functional and regression testing, load testing, chatbot testing, and production monitoring, ensuring enterprises can build flawless customer journeys across voice and digital channels while reducing the risk of customer-facing defects. Every day, the most recognizable brands across the globe trust Cyara to deliver customer smiles at scale. Interested to find out more about us? Check out: www.cyara.com Want to know what it’s really like to work at Cyara? Check out this link to meet some real Cyaran’s and read about their individual career journey with us: https://cyara.com/employee-profiles/ Cyara’s Diversity, Equity, Inclusive and Belonging Statement: At Cyara, we are dedicated to fostering a workplace that embodies equal opportunity and champions diversity, equity, inclusion, and belonging (DEIB). We strive to cultivate an environment where every individual feels valued, respected, and empowered to bring their whole selves to work, contributing unique perspectives and talents. Our commitment includes continuously evaluating and enhancing our policies, practices, and culture to align with our DEIB principles. We ensure a discrimination-free environment where individuals are evaluated solely on their merits and abilities, regardless of legally protected statuses such as sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, or medical condition. By celebrating our differences and championing inclusivity, we enrich our organization, make more thoughtful decisions, and drive collective success. Cyara’s Values Statement: At Cyara, our values shape everything we do. We're passionate about Delivering Excellence by putting the customer first, collaborating globally, and always striving to improve. We take smart risks and Innovate Boldly , setting new standards and learning from every experience. Integrity First is our cornerstone—we value humility, authenticity, and respect for diversity, building trust in all we do. We Embrace Curiosity by empowering you to experiment, learn, and grow in a dynamic environment. At Cyara, our values drive us forward, shaping a culture where innovation and excellence thrive. Key Responsibilities Define, own, and execute the end-to-end test strategy for the CX assurance platform, ensuring high test coverage, efficiency, and scalability. Design and implement automated test cases that evaluate: The quality and variance of outputs from deep insights and analytics of training models. The reliability and reasoning in AI trust tests, including hallucination detection, grounding, and consistency. Build and maintain automated test frameworks using JavaScript/TypeScript, Node.js, React, and Cypress. Monitor and analyze test results, identify regressions, and proactively drive resolution. Continuously improve test infrastructure and CI/CD pipeline integration to ensure fast, reliable feedback loops. Required Skills and Qualifications Technical Expertise Strong proficiency in JavaScript/TypeScript, with hands-on experience in Node.js and React applications. Deep experience with end-to-end testing frameworks, especially Cypress. AI/ML & Data Science Knowledge Working knowledge of machine learning fundamentals and model evaluation techniques. Familiarity with k-fold cross-validation, precision/recall/F1 metrics, and analyzing model performance across datasets. Understanding of AI trustworthiness principles such as interpretability, robustness, and bias detection. Test Strategy and Leadership Proven experience owning the test strategy for complex systems, including planning, execution, and test architecture. Ability to define coverage metrics, assess test gaps, and drive toward measurable quality goals. Experience working in agile/Scrum environments, actively participating in story grooming and sprint planning. Soft Skills Strong analytical and problem-solving skills with attention to detail. Excellent communication skills for cross-functional collaboration. A mindset of ownership, initiative, and continuous improvement. Why you should join us: At Cyara you’ll have the opportunity to work with a group of people who share common goals, are driven by a similar passion, and value the expertise of their peers. Cyara is committed to being an equal opportunity employer, focused on building and maintaining a diverse, inclusive and authentic workplace; and a work environment that is free from discrimination and harassment, based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. At Cyara we appreciate and welcome the fact that our culture is living and growing as we continue to evolve over time. With this opportunity comes the chance to enjoy a flexible work environment, competitive compensation and a work culture that's results-oriented, fast-paced and focused on continuous improvement, whilst maintaining a family first, team oriented, and ever positive atmosphere. Cyara cares for its own - you’ll feel that on your first day - and you'll get the chance to work for a global, growing company, and an all-inclusive team of innovators. We credit our amazing growth and success to the fact that we’ve built our business on four essential values that we live and breathe every day: Deliver Excellence Innovate Boldly Integrity First Embrace Curiosity Interested? Know someone who might be? Apply online now. Agencies: Thanks but we’ve got this one! Please, no phone calls or emails to any employees of Cyara outside of the Talent Acquisition team. Cyara’s policy is to only accept resumes from Agencies via the Cyara Agency Portal. Agencies must have a valid fee agreement in place and they must have been assigned the specific requisition to which they submit resumes, by the Cyara Talent Acquisition team before submitting any CV's. Any resume submitted outside of this process will be deemed the sole property of Cyara and, in the event, a candidate is submitted outside of this policy is hired, no fee or payment of any kind will be paid

JOB DESCRIPTION Skill: Tech BA Key responsibility: Job Description: Require a Technical Business Analyst (Tech BA) to support the development and governance of AI-driven solutions. This role bridges business objectives and technical execution, focusing on gathering, validating, and governing requirements for AI models and applications. The ideal candidate will have a strong understanding of AI concepts and solution design, with technical proficiency to work closely with engineering teams. Experience with Microsoft .NET is a valuable plus. Requirements Management & Governance: Elicit, analyze, and document business and technical requirements for AI initiatives. Ensure end-to-end traceability and governance of requirements, including compliance with regulatory and ethical AI standards. Define and maintain requirement baselines, change logs, and stakeholder sign-offs. AI Design & Collaboration: Work closely with data scientists, AI engineers, and architects to shape the design of AI solutions. Understand AI concepts such as supervised/unsupervised learning, model interpretability, training pipelines, and performance metrics. Translate complex business problems into structured AI solution requirements and architecture inputs. Stakeholder Engagement: Facilitate discussions with product owners, SMEs, and Product teams to align solution design with business goals. Conduct workshops and create process models, user stories, and use cases to define AI-driven functionality. Technical Support & Documentation: Collaborate with developers (especially those using Microsoft .NET technologies) to ensure proper implementation and integration. Collaborate and produce detailed documentation including data flow diagrams, specifications, and testing criteria. Support testing, QA, and validation of AI outputs against business and regulatory requirements. Project Delivery & Agile Execution: Participate in sprint planning, backlog refinement, and Agile ceremonies. Track progress, manage dependencies, and raise risks or issues related to requirement delivery. Required Skills & Qualifications: Experience as a Technical Lead / Tech BA Good knowledge of AI concepts, lifecycle, and solution design Familiarity with model governance, ethical AI principles, and data privacy standards Ability to create comprehensive documentation and bridge technical/non-technical teams Hands-on experience with Agile delivery tools Added Advantage: Working knowledge or experience with Microsoft .NET frameworks and development environments Exposure to cloud-based AI services (e.g., Azure AI, Open AI , etc.) About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.