principal statistical scientist

Brillio LLC

<div><h1 class="jobSectionHeader">Principal Data Scientist - R01560286</h1>
<div>Principal Data Scientist</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
A/B Testing, Clustering, AWS, Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Parameter Tuning, Data Wrangling, Exploratory Data Analysis, Python/PySpark, PCA, Factor Analysis, SAS/SPSS, GitHub / Gitlab, IBM Watson, Feature Engineering, Tree Aglorithms, Grid Search, SVM, Tools(KubeFlow, BentoML), Cross Validation, Data Curiosity, Design Thinking, Data Literacy
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
This role is explicitly focused on building agentic systems from scratch, including the design and development of autonomous AI agents and enterprise copilots, with hands-on experience in Microsoft 365 Copilot and Copilot Studio ecosystems as a core requirement. ________________________________________ Core Responsibilities &bull; Agentic AI Architecture &amp; Engineering: Build AI agents and multi-agent systems from scratch, including agent orchestration, autonomy design, tool-use, memory management, and decision frameworks. &bull; Enterprise Copilot Development: Design, build, and scale enterprise copilots using Microsoft Copilot Studio and Microsoft 365 Copilot, enabling intelligent task automation and knowledge workflows. &bull; Build AI agents &amp; copilots on Microsoft Copilot Studio &bull; Develop automated workflows using Power Automate / Logic Apps &bull; Integrate AI agents with enterprise systems via APIs, connectors, and Azure services &bull; Implement RAG, grounding, semantic search using Azure OpenAI &amp; Azure Cognitive Search &bull; Ensure security, governance, and responsible AI practices &bull; Collaborate with architects, analysts, and business teams &bull; Problem Formulation: Translate business objectives into well-defined data science, ML, and Agentic AI problems; validate OKRs using robust statistical and experimental measures. &bull; Agentic AI &amp; LLM Solutions: Design, build, deploy, and optimize Agentic AI systems (multi-agent workflows, task orchestration, autonomous decision-making) using LLMs for real-world enterprise use cases. &bull; LLM Development &amp; Deployment: Fine-tune, prompt-engineer, evaluate, and productionize LLMs (open-source or proprietary) for use cases such as copilots, RAG pipelines, conversational AI, and intelligent automation. &bull; Data Wrangling &amp; Feature Engineering: Handle structured and unstructured data at scale, including text, documents, and conversational data for LLM-powered solutions. &bull; Insight Generation &amp; Data Storytelling: Convert complex analytical outputs and AI model results into clear, compelling narratives for business and executive audiences. &bull; Technical Decision-Making: Make informed trade-offs on model complexity, iteration depth, experimentation cycles, and time-to-value. &bull; Design Thinking &amp; Innovation: Apply design thinking principles to build user-centric AI products and data solutions. &bull; Mentorship &amp; Leadership: Coach senior data scientists, review architectures, and establish best practices across data science, ML, and GenAI initiatives.</li></ul></div>

Principal Data Scientist – R01560286

Kraft Heinz

<div><h2 class="jobSectionHeader">Job Description
</h2>Senior Principal Scientist, R&amp;D &ndash; Consumer Experience Statistician
Job Purpose
The Senior Principal Scientist for Consumer Experience is a high-impact R&amp;D leadership role responsible for the strategic integration of statistical expertise into the consumer research lifecycle. You will serve as the primary architect for experimental frameworks that drive product innovation and legally defensible global claims. Beyond data analysis, you will lead end-to-end consumer experience projects, manage an elite ecosystem of external research partners, and ensure the operational excellence of research facilities worldwide. This role requires a blend of advanced technical mastery and proactive project leadership to transform consumer insights into a competitive market advantage.
Essential Functions &amp; Responsibilities
<ul><li>End-to-End Project Leadership: Lead and oversee consumer experience projects from inception to completion, ensuring statistical rigor is embedded in the research design and that findings directly influence R&amp;D innovation roadmaps.
</li></ul><ul><li>Vendor Ecosystem &amp; Strategy: Define and maintain a preferred network of global consumer and sensory research agencies. Leverage extensive industry knowledge to select partners that offer cutting-edge methodologies and best-in-class data quality.
</li></ul><ul><li>Quality Assurance &amp; Facility Auditing: Conduct on-site audits of vendor facilities and research sessions to ensure compliance with protocols, data integrity standards, and best practices in sensory/consumer testing.
</li></ul><ul><li>Research Travel: Travel as necessary to observe research in the field, supervise complex data collection sessions, and ensure the execution of studies aligns with strategic objectives.
</li></ul><ul><li>Claims Substantiation: Lead the statistical design and analysis for consumer-centric research to support global product claims, ensuring all evaluations meet the highest standards for legal and regulatory defensibility.
</li></ul><ul><li>Methodological Innovation: Identify and implement emerging statistical techniques (e.g., Bayesian modeling, predictive analytics) to uncover non-obvious consumer insights and product white spaces.
</li></ul><ul><li>Consultative Influence: Act as a senior consultant to R&amp;D and Marketing leadership, translating complex statistical findings into compelling business narratives that guide executive decision-making.
</li></ul><ul><li>Regulatory &amp; Industry Influence: Maintain active engagement with professional associations and standards-setting bodies (e.g., ASTM, ISO) to stay ahead of emerging statistical, methodological, and claims-support standards and translate these advancements into internal best practices.
</li></ul>Expected Experience &amp; Required Skills
<ul><li>Master&rsquo;s degree (MS) in Statistics, Biostatistics, or a related quantitative field is required.
</li></ul><ul><li>A minimum of 7 to 10+ years of post-graduation practical experience, with a heavy emphasis on the Consumer Packaged Goods (CPG) or sensory research industries.
</li></ul><ul><li>Proven track record of managing large-scale external research agencies and navigating the vendor ecosystem to deliver high-quality results.
</li></ul><ul><li>Demonstrated experience leading multidisciplinary projects and providing senior-level guidance in a fast-paced R&amp;D environment.
</li></ul><ul><li>Expert knowledge of ANOVA, Multivariate Methods, DOE, Regression, Hypothesis Testing, and Power Analysis.
</li></ul><ul><li>Ability to audit and evaluate the technical capabilities of external research facilities and data collection methodologies.
</li></ul><ul><li>Deep understanding of multiple research methodologies (CLT, IHUT, Sensory Profiling) and the rigorous requirements for product claims support.
</li></ul><ul><li>Exceptional ability to &quot;story tell&quot; with data, presenting findings to both technical experts and non-technical executive audiences.
</li></ul><ul><li>Ability to work independently, manage high-stakes project commitments, and influence cross-functional peers without direct authority.
</li></ul><ul><li>Ability to travel up to XX% of the time for business needs
</li></ul>Work Environment &amp; Schedule
This position operates primarily in a hybrid work environment and is based at the Kraft Heinz R&amp;D Innovation Center in Glenview, IL. Our hybrid model provides flexibility based on business needs, allowing employees to work virtually up to two days per week, with an expectation to work on-site at least three days per week at the Glenview Innovation Center. In addition, this role may periodically be required to work from or visit the Kraft Heinz North American Headquarters at the Aon Center in downtown Chicago to support meetings with senior leadership, cross-functional partners, and key stakeholders.
Physical Requirements
Physical demands include but not limited to
<ul><li>List the job&rsquo;s physical requirements. (Mental requirements are not needed.)
</li></ul>This job description is not designed to cover or contain all duties or responsibilities that are required of the role. Duties or responsibilities may change or be added with or without notice.
Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz&rsquo; strategy and values.
New Hire Base Salary Range:
$120,800.00 - $151,000.00
Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.
The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors
Benefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare, protection, and saving for the future, we offer plans tailored to meet you and your family&rsquo;s needs. Coverage for benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.
Wellbeing: We offer events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle for our employees and their families.
You&rsquo;ll be able to participate in a variety of benefits and wellbeing programs that may vary by role, country, region, union status, and other employment status factors, for example:
<ul><li>Physical - Medical, Prescription Drug, Dental, Vision, Screenings/Assessments
</li><li>Social - Paid Time Off, Company Holidays, Leave of Absence, Flexible Work Arrangements, Recognition, Training
</li><li>Emotional &ndash; Employee Assistance Program , Wellbeing Programs, Family Support Programs
</li><li>Financial &ndash; 401k, Life, Accidental Death &amp; Dismemberment, Disability
</li></ul>Location(s)
Glenview R&amp;D Center 
 
Kraft Heinz is an Equal Opportunity Employer &ndash; Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes. In order to ensure reasonable accommodation for protected individuals, applicants that require accommodation in the job application process may contact NAZTAOps@kraftheinz.com for assistance.</div>

Senior Principal Scientist, R&D – Consumer Experience Statistician

Finaira

<div>The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
The difference you will make:<ul><li>
Define the technical data science strategy and roadmap.</li><li>
Lead the research and development of cutting-edge AI solutions.</li><li>
Evaluate and implement new data science technologies and platforms.</li><li>
Provide technical leadership and guidance to the data science team.</li><li>
Ensure the scalability and reliability of data science infrastructure.</li></ul> 

Requirements 
Education:
<ul><li>Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.</li></ul>
Experience:<ul><li>
8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.</li><li>
Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
</li><li>Proven experience in leading and mentoring data science teams.
</li><li>A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)</li></ul>
Technical Skills:
<ul><li>Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.</li><li>
Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.</li><li>
Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.</li><li>
Deep understanding of Data and AI governance frameworks and requirements.
</li><li>Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
</li><li>Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.</li><li>
Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
</li><li>Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
</li><li>Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
</li><li>Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.</li></ul>
Soft Skills:<ul><li>
Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently, collaborate effectively and mentor junior team members.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Principal Data Scientist

SnapFind

<ul><li>Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).</li><li>Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.</li><li>Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.</li><li>Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.</li><li>Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.</li></ul>Job DescriptionPrincipal Data Scientist(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)healthcare support services company specializing in:<ul><li>Remote Live Medical Scribing</li><li>AI-Based Medical Scribing</li><li>Medical Coding</li><li>Medical Billing</li><li>Virtual Medical Office Solutions (VMOS)</li></ul>With a strong presence across India through our offices in Bengaluru, Coimbatore, and Mohali, we serve a wide range of healthcare providers in the United States.Job Details<ul><li>Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)</li><li>Location: Hebbal Ring Road, Bengaluru</li><li>Work Mode: Work from Office</li><li>Shift: Day Shift</li><li>Reporting To: SVP</li><li>Compensation: Best in the industry (for suitable candidates)</li></ul>Educational Qualifications<ul><li>Ph.D. or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field</li><li>Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage</li></ul>Experience Required<ul><li>7+ years of experience solving real-world problems using:</li><li>Natural Language Processing (NLP)</li><li>Automatic Speech Recognition (ASR)</li><li>Large Language Models (LLMs)</li><li>Machine Learning (ML)</li><li>Preferably within the healthcare domain</li><li>Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable</li></ul>Role OverviewWe are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:<ul><li>Reduce administrative burden in EMR data entry</li><li>Improve provider satisfaction and productivity</li><li>Enhance quality of care and patient outcomes</li></ul>Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.Key ResponsibilitiesAI Strategy &amp; Solution Development<ul><li>Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI</li><li>Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation</li><li>Develop and integrate Agentic AI frameworks enabling multi-agent collaboration</li><li>Design scalable, reusable, and production-ready AI frameworks for speech and text analytics</li></ul>Model Development &amp; Optimization<ul><li>Fine-tune, train, and optimize large-scale NLP and ASR models</li><li>Develop and optimize ML algorithms for speech, text, and structured healthcare data</li><li>Conduct rigorous testing and validation to ensure high clinical accuracy and performance</li><li>Continuously evaluate and enhance model efficiency and reliability</li></ul>Cloud &amp; MLOps Implementation<ul><li>Architect and deploy AI models on AWS, Azure, or GCP</li><li>Deploy and manage models using containerization, Kubernetes, and serverless architectures</li><li>Design and implement robust MLOps strategies for lifecycle management</li></ul>Integration &amp; Compliance<ul><li>Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR</li><li>Integrate AI systems with EHR/EMR platforms</li><li>Implement ethical AI practices, regulatory compliance, and bias mitigation techniques</li></ul>Collaboration &amp; Leadership<ul><li>Work closely with business analysts, healthcare professionals, software engineers, and ML engineers</li><li>Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures</li><li>Mentor and lead junior data scientists and engineers</li><li>Contribute to AI research, publications, patents, and long-term AI strategy</li></ul>Required Skills &amp; Competencies<ul><li>Expertise in Machine Learning, Deep Learning, and Generative AI</li><li>Strong Python programming skills</li><li>Hands-on experience with PyTorch and TensorFlow</li><li>Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)</li><li>Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)</li><li>Experience with text embeddings and vector databases</li><li>Proficiency in cloud platforms (AWS, Azure, GCP)</li><li>Experience with LangChain, OpenAI APIs, and RAG architectures</li><li>Knowledge of agentic AI frameworks and reinforcement learning</li><li>Familiarity with Docker, Kubernetes, and MLOps best practices</li><li>Understanding of FHIR, HL7, HIPAA, and healthcare system integrations</li><li>Strong communication, collaboration, and mentoring skills</li></ul>Employee Benefits &amp; Perks<ul><li>Medical Insurance: ₹4 Lakhs per annum (Coverage for self, spouse, and 2 children under 25 years of age; non-reimbursable)</li><li>Group Personal Accident Policy: Coverage equivalent to 5 years&rsquo; CTC in case of accidental death</li><li>Complimentary Canteen Facilities for office-based employees</li></ul>Job Types: Full-time, PermanentPay: ₹2,500,000.00 - ₹3,000,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

Oracle

<div>Do you want to be a part of changing healthcare?
 
Oracle is excited to be using our resources, knowledge, and expertise&mdash;as well as our successes in other industries&mdash;and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it&rsquo;s deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care.
Oracle Health Applications &amp; Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you&rsquo;ll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences.
About the Team
As part of the Oracle Health Foundations Organization, you&rsquo;ll join a high-impact Operational Intelligence team focused on transforming operational data into proactive, AI-driven decision systems. We work across incidents, change records, support tickets, telemetry, and performance signals to improve the reliability, resilience, and stability of Oracle Health&rsquo;s products.
Our team is advancing anomaly detection, statistical signal modeling, and GenAI-powered intelligence to move beyond reactive alerting toward contextual insight generation and semi-autonomous operational workflows. We are building scalable capabilities on the Oracle AI Data Platform that detect performance abnormalities early, surface root-cause insights, reduce operational toil, and enable proactive intervention at scale.
As a Senior Data Scientist, you will play a leading role in shaping the evolution of our operational AI systems. You will design and productionize advanced anomaly detection models, develop intelligent data products, and collaborate closely with engineering, platform, and operations teams. This is a high-ownership, high-visibility role where applied statistical rigor meets real-world production impact &mdash; helping define the future of agentic operational intelligence within Oracle Health.
Qualifications 
 
<ul><li>Master's or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative field (Bachelor&rsquo;s with equivalent experience considered).
</li><li>8+ years of experience developing and deploying machine learning models in production environments.
</li><li>Strong expertise in statistical modeling, anomaly detection, and time-series analysis, with experience applying these techniques to large-scale operational data.
</li><li>Proficiency in Python and modern ML frameworks, with experience building reproducible modeling pipelines and implementing sound evaluation and experimentation practices.
</li><li>Working knowledge of large language models (LLMs), retrieval-augmented generation (RAG) pipelines, and modern agent frameworks, including their evaluation and integration into production systems.
</li><li>Experience contributing to intelligent automation or agent-driven systems where ML or LLM components inform or trigger workflow decisions under defined guardrails.
</li><li>Strong communication skills and demonstrated ability to partner with engineering teams to productionize, monitor, and continuously improve models.</li></ul></div>
 <div>Responsibilities
<ul><li>Design, develop, and lead advanced anomaly detection and statistical modeling initiatives across operational data sources (incidents, change records, support tickets, telemetry, and performance signals).
</li><li>Build and productionize machine learning models that proactively identify performance abnormalities, detect emerging risk patterns, and improve operational resilience.
</li><li>Develop GenAI-powered intelligence capabilities, including contextual insight generation, automated summarization, signal correlation, and decision-support workflows.
</li><li>Drive the evolution from deterministic alerting to statistically robust, scalable detection and semi-autonomous operational workflows under defined guardrails.
</li><li>Own the end-to-end data science lifecycle, including data exploration, feature engineering, model development, validation, experimentation, deployment, monitoring, and continuous improvement.
</li><li>Partner closely with engineering, SRE, product, and operations teams to translate complex operational challenges into scalable, production-ready AI solutions.
</li><li>Influence architectural decisions related to data pipelines, model serving, observability integration, and AI platform utilization.
</li><li>Mentor and provide technical leadership to junior data scientists and engineers, promoting modeling rigor, experimentation discipline, and production best practices.
</li><li>Stay current with advancements in anomaly detection, time-series modeling, applied GenAI, and agentic AI systems&mdash;leading evaluation and adoption where appropriate.
IC4 Career Level</li></ul></div>

D'SIAR TECH LLP

Job Title: Principal Data ScientistLocation: Bangalore Work Mode: Work from Office Working Days: 5 Days Compensation: Competitive (Best in Industry) Experience: 6 to 10 Years Qualification: Master&rsquo;s / Ph.D. in Computer Science, AI, ML, or related field (preferred)Industry: Healthcare Function: Information TechnologyRole OverviewWe are seeking a Principal Data Scientist to lead the design, development, and deployment of advanced AI and machine learning solutions in the healthcare domain. This role will focus on Generative AI, NLP, ASR, LLMs, and agent-based AI frameworks to drive innovation in clinical documentation, speech recognition, and intelligent healthcare systems.The ideal candidate will bring deep expertise in transformer models, cloud-based AI deployments, MLOps, and healthcare AI compliance, along with strong leadership and mentoring capabilities.Key Requirements<ul><li>7+ years of experience in Machine Learning, Generative AI, NLP, ASR, and LLMs</li><li>Strong Python programming experience with PyTorch and/or TensorFlow</li><li>Experience fine-tuning transformer models such as GPT, BERT, T5, LLaMA, Whisper, etc.</li><li>Experience deploying AI solutions on AWS, Azure, or GCP using Docker and Kubernetes</li><li>Hands-on experience with LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures</li><li>Experience integrating AI solutions with healthcare systems (EHR/EMR)</li><li>Knowledge of healthcare interoperability and compliance standards (e.g., HL7, FHIR, HIPAA)</li><li>Proven experience leading AI initiatives and mentoring technical teams</li></ul>Key ResponsibilitiesAI Strategy &amp; Development<ul><li>Design and implement AI solutions for speech recognition, text processing, and conversational AI</li><li>Develop transformer-based models for clinical summarization and documentation automation</li><li>Build scalable, reusable AI architectures and agent-based frameworks</li></ul>Model Development &amp; Optimization<ul><li>Fine-tune NLP and ASR models for healthcare use cases</li><li>Validate model accuracy and clinical reliability</li><li>Continuously improve model performance and efficiency</li></ul>Cloud &amp; MLOps<ul><li>Architect and deploy AI solutions on cloud platforms</li><li>Implement CI/CD pipelines and MLOps lifecycle management</li><li>Manage containerized deployments using Docker and Kubernetes</li></ul>Integration &amp; Compliance<ul><li>Ensure AI solutions align with healthcare regulatory and data privacy standards</li><li>Integrate AI models with healthcare platforms and enterprise systems</li><li>Implement ethical AI and bias mitigation practices</li></ul>Leadership &amp; Collaboration<ul><li>Lead and mentor data science and ML engineering teams</li><li>Collaborate with clinicians, engineers, and business teams</li><li>Drive AI research initiatives and long-term technology roadmap</li></ul>Required Skills &amp; Competencies<ul><li>Machine Learning, Deep Learning, and Generative AI</li><li>Python, PyTorch, TensorFlow</li><li>Transformer-based LLMs and ASR models</li><li>Vector databases and embeddings</li><li>Cloud platforms (AWS/Azure/GCP)</li><li>LangChain, OpenAI APIs, RAG pipelines</li><li>Docker, Kubernetes, and MLOps best practices</li><li>Strong communication, leadership, and collaboration skills</li></ul>Employee Benefits &amp; Perks<ul><li>Comprehensive medical insurance coverage for employees and dependents</li><li>Group personal accident coverage</li><li>Complimentary office canteen facilities</li><li>High-impact leadership role in a growing healthcare AI environment</li></ul>Job Type: Full-timePay: ₹2,500,000.00 - ₹3,000,000.00 per yearWork Location: In person

Principle Data Scientis

Bluecloud Softech

Hiring: Principal Data Scientist &ndash; Healthcare AI | 7-10 years experience | (Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)Note: <ul><li>Please go through all the details below to understand the role criteria.</li><li>Ensure your current CTC aligns with the budget mentioned below for a smooth hiring process.</li></ul>Qualification: <ul><li>Master&rsquo;s / PhD in Computer Science, AI, ML or related field</li><li>Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage</li></ul>Work Mode: Onsite | 5 days workingSalary: 25-29 LPAAge Criteria: Should not be more than 34 yearsRequired Skills: Generative AI, NLP &amp; ASR, Transformer Models, Cloud Deployment, MLOpsMandatory Criteria:<ul><li>Must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).</li><li>Must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.</li><li>Must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.</li><li>Must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.</li><li>Must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.</li></ul>Key Responsibilities:AI Strategy &amp; Solution Development<ul><li>Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI</li><li>Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation</li><li>Develop and integrate Agentic AI frameworks enabling multi-agent collaboration</li><li>Design scalable, reusable, and production-ready AI frameworks for speech and text analytics</li></ul>Model Development &amp; Optimization<ul><li>Fine-tune, train, and optimize large-scale NLP and ASR models</li><li>Develop and optimize ML algorithms for speech, text, and structured healthcare data</li><li>Conduct rigorous testing and validation to ensure high clinical accuracy and performance</li><li>Continuously evaluate and enhance model efficiency and reliability</li></ul>Cloud &amp; MLOps Implementation<ul><li>Architect and deploy AI models on AWS, Azure, or GCP</li><li>Deploy and manage models using containerization, Kubernetes, and serverless architectures</li><li>Design and implement robust MLOps strategies for lifecycle management</li></ul>Integration &amp; Compliance<ul><li>Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR</li><li>Integrate AI systems with EHR/EMR platforms</li><li>Implement ethical AI practices, regulatory compliance, and bias mitigation techniques</li></ul>Collaboration &amp; Leadership<ul><li>Work closely with business analysts, healthcare professionals, software engineers, and ML engineers</li><li>Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures</li><li>Mentor and lead junior data scientists and engineers</li><li>Contribute to AI research, publications, patents, and long-term AI strategy</li></ul>Required Skills &amp; Competencies:<ul><li>Expertise in Machine Learning, Deep Learning, and Generative AI</li><li>Strong Python programming skills</li><li>Hands-on experience with PyTorch and TensorFlow</li><li>Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)</li><li>Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)</li><li>Experience with text embeddings and vector databases</li><li>Proficiency in cloud platforms (AWS, Azure, GCP)</li><li>Experience with LangChain, OpenAI APIs, and RAG architectures</li><li>Knowledge of agentic AI frameworks and reinforcement learning</li><li>Familiarity with Docker, Kubernetes, and MLOps best practices</li><li>Understanding of FHIR, HL7, HIPAA, and healthcare system integrations</li><li>Strong communication, collaboration, and mentoring skills</li></ul>Job Types: Full-time, PermanentPay: ₹2,500,000.00 - ₹2,900,000.00 per monthWork Location: In person

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Principal Data Scientist – R01560286

Senior Principal Scientist, R&D – Consumer Experience Statistician

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principle Data Scientis

Principal Data Scientist