25362 Ml Jobs - Page 36

Position : MLOps Engineer US Healthcare Claims Management. Location : Gurgaon, Sector 18, Delhi NCR, India,. UK Shift. Company : Neolytix. About The Role We are looking for an AI/ML Engineer to develop and implement intelligent claims analysis, prioritization, and denial resolution models for our AI-driven app for healthcare claims management. The ideal candidate will work closely with healthcare experts and engineers to orchestrate Large Language Models (LLMs) and Small Language Models (SLMs) that optimize revenue cycle processes, minimize Accounts Receivable (AR) dollars, and improve claim resolution efficiency. Key Responsibilities Design and implement AI/ML models for claims prioritization, denial resolution, and revenue cycle optimization. Develop and fine-tune LLMs and SLMs to enhance automation in claims management workflows. Preprocess and structure claims data for effective model training. Deploy, manage, and scale AI models using Azure-based cloud services. Continuously monitor model performance, retrain, and refine algorithms to improve accuracy and operational efficiency. Ensure compliance with HIPAA, PHI security standards, and healthcare data privacy regulations. Document technical solutions and create best practices for scalable AI-driven claims management. Qualifications Bachelor's or master's degree in computer science, AI/ML, Engineering, or a related field. 3+ years of experience in AI/ML engineering, preferably in healthcare claims automation. Proficiency in Python, with strong knowledge of LLMs, NLP, and text analytics for claims processing. Experience with Azure ML services for deploying machine learning models. Familiarity with healthcare claims data formats (EDI 837/835) and revenue cycle processes. Strong analytical, problem-solving, and teamwork skills. Preferred Skills Experience with AI-driven denial resolution and automated claims adjudication. Understanding of EHR/EMR systems and insurance reimbursement processes. Familiarity with DevOps, CI/CD pipelines, and MLOps for scalable AI deployments. What We Offer Competitive salary and benefits package. Opportunity to contribute to innovative AI solutions in the healthcare industry. Dynamic and collaborative work environment. Opportunities for continuous learning and professional growth. (ref:hirist.tech)

Job Description The primary role of Sr. Software Engineering Manager will be to lead a team of high calibre software and full stack engineers to develop amazing SaaS products for AI powered dynamic price optimization, including but not limited to : Team management: Lead a team of high calibre software and full stack engineers. Product development: Lead development of web application design and development concentrating on Artificial intelligence modelling operating at huge scale (+1Billion data processing per day). Manage development sprints and processes : Follow an agile development process in the team; breakdown requirements into smaller chunks; plan out a road map for development, and prioritize items for each sprint. Ensure quality of work and timely deliveries. Plan integrations : Plan API based integrations with third party tech platforms (e.g. GDSs operating in Travel or Hospitality industries, Seller services in marketplaces like Amazon, FlipKart, Public Apps in Shopify, woo commerce ; sales enablement platforms like SalesForce, Microsoft Dynamics, etc.). Oversee data engineering : Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s). AI and ML modules : Ensure seamless integrations of AI/ML modules at production scale. App performance Optimization : Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps. Product enhancements : Interact with client and business side teams to develop a roadmap for product enhancements. Candidate Profile Entrepreneurial mind set with a positive attitude is a must. Prior experience (minimum 8 years) in multi-tenant SaaS full stack application development. Expert knowledge of MVC frameworks, SQL and No-SQL databases, MSA architecture, machine queues is a must. Strong acumen in algorithmic problem solving. Self-learner: highly curious, self-starter and can work with minimum supervision and guidance. Track record of excellence in academics or non-academic areas, with significant accomplishments. Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful. Qualifications BTech / BE / BS / MTech / MCA / ME / MS in Computer Science/Engineering, IT or related field. 8 - 10 years work experience. (ref:hirist.tech)

Job Description The primary role of Tech Architect will be to lead technical architecture of high scalable and data computation heavy SaaS products for AI powered dynamic price optimization, including but not limited to: Product performance : Ensure applications are scalable., fault tolerant, highly available, handle high degree of concurrency, deliver low latency, and perform AI tasks at massive scale (+1Billion data processing per day). Tech architecture design : Lead end to end tech design of SaaS applications. Project management : Work with other software and full stack developers and oversee that the developments are adhering to the tech design following the software development and documentation standards consistently of the highest quality. Plan integrations : Plan API based integrations with third party tech platforms (e.g. GDSs operating in Travel or Hospitality industries, Seller services in marketplaces like Amazon, FlipKart, Public Apps in Shopify, woocommerce; sales enablement platforms like SalesForce, Microsoft Dynamics, etc.) Oversee data engineering : Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s) AI and ML modules : Ensure seamless integrations of AI/ML modules at production scale. App performance optimization : Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps. Product enhancements : Interact with client and business side teams to develop a roadmap for product enhancements. Candidate Profile Entrepreneurial mind set with a positive attitude is a must. Prior experience (minimum 5 years) in tech architecture designs of multi-tenant SaaS full stack application development. Expert knowledge of new generation technologies is a must (e.g. Machine Queues, MSA architecture, PWA architecture, React, No-SQL, Serverless, Redis, Python, Django, SQL, Docker/Containers/Kubernetes, etc.). Strong acumen in algorithmic problem solving. Self-learner: highly curious, self-starter and can work with minimum supervision and guidance. Track record of excellence in academics or non-academic areas, with significant accomplishments. Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful. Qualifications BTech / BE / BS / MTech / MCA / ME / MS in Computer Science/Engineering, IT or related field 5 - 7 years work experience. (ref:hirist.tech)

Job Responsibilities Hands on (Full Stack) Web application design and development concentrating on Artificial intelligence using big data technologies. Facilitate solution efficiencies, scalability and technology stack leadership. Ensure fool proof and robust applications through unit tests and other quality control measures. Follow an agile development process, and enable rapid solutions to business challenges. Take inputs from internal and external clients and constantly strive to improve solutions. Setup and following software design, development, testing and documentation best practices. Data engineering: Extract and parse data from online and local data sources; Clean up data, audit data for accuracy, consistency and completeness. Data analytics: Apply analytics and artificial intelligence techniques (using tool such as - but not limited to - Excel, SQL, Python, SAS, R, MATLAB, etc.) and extract valuable and actionable insights. Data processing and visualization: Summarize insights in a simple yet powerful charts, reports, slides, etc. Project operations: For internal and external client projects, use our proprietary tools for performing data engineering, analytics and visualization activities. Responsible for project deliveries, escalation, continuous improvement, and customer success. Candidate Profile Strong knowledge of Python, Django, React, Flask, Flutter, Bootstrap, HTML,CSS, Javascript, SQL. Expertise in Full Stack Web Application development is required. Proficiency in software development: Conceptualizing, Designing, Coding, debugging. Prior Background in AI, ML, Deep Learning, Image processing and computer vision is preferred. Strong in algorithm design, database programming (RDBMS), and text analytics. Knowledge of MongoDB, Redis, Docker, Containerization, Kubernetes, AWS, Kafka is preferred High problem-solving skills: able to logically breakdown problems into incremental milestones, prioritize high impact deliverables first, identify bottlenecks and work around them. Self-learner: highly curious, self-starter and can work with minimum supervision and guidance. Entrepreneurial mind set with a positive attitude is a must. Track record of excellence in academics or non-academic areas, with significant B.E / B.Tech in Computer Science / IT 4 to 6 years of relevant experience (ref:hirist.tech)

Role The primary role of Full Stack Scientist will be to carry out a variety of software/web-application development of Sciative's SaaS products for AI powered dynamic price optimization, including but not limited to: Full stack development: Web application design and development concentrating on Artificial intelligence modelling operating at huge scale (+1Billion data processing per day). Integrations: Develop API based integrations with third party tech platforms (e.g. GDSs operating in Travel or Hospitality industries, Seller services in marketplaces like Amazon, FlipKart, Public Apps in Shopify, woocommerce; sales enablement platforms like SalesForce, Microsoft Dynamics, etc.) Data engineering: Build complete understanding of data architecture, write data processing scripts to prepare data for feeding to the AI engine(s). AI and ML modelling: Develop or work collaboratively with the Data Science team and implement AI / ML models at production scale. Performance optimization: Enhance the data processing and tech architecture to deliver superior computation performance and scalability of the Apps. Data visualizations: Work with client and business side teams to develop rich data visualizations, and design and implement decision workflows to achieve the business object Agile development: Follow agile development processes to achieve impactful outcomes. Candidate profile Entrepreneurial mind set with a positive attitude is a must. Prior experience (minimum 2 years) in multi-tenant SaaS full stack application development. Expert knowledge of MVC frameworks, SQL and No-SQL databases, MSA architecture, machine queues is a must. Strong acumen in algorithmic problem solving. Self-learner: highly curious, self-starter and can work with minimum supervision and guidance. Track record of excellence in academics or non-academic areas, with significant accomplishments. Excellent written & oral communication and inter-personal skills, with high degree of comfort working in teams and making teams successful. Qualifications BTech / BE / BS / MTech / MCA / ME / MS in Computer Science/Engineering, IT or related field 3 to 5 years work experience (ref:hirist.tech)

Selected Intern's Day-to-day Responsibilities Include Support the formulation and execution of digital strategies for large enterprise clients across sectors. Assist in digital pre-sales activities, including proposal writing, solution decks, competitor analysis, and product positioning. Conduct research and analysis on industry trends, product offerings, and business scenarios to support strategic recommendations. Collaborate with sales and presales teams to prepare client-facing presentations, demos, and marketing collaterals. Evaluate and benchmark enterprise websites, mobile apps, and digital experiences for usability, content, and performance. Work with data analysts to derive insights from customer analytics, funnel metrics, personalization tools, and engagement dashboards. Contribute to client success initiatives, including onboarding documentation, reporting templates, and case studies. Assist in crafting internal and external communication across various digital channels and platforms. Stay updated with the latest in MarTech, digital transformation, customer experience platforms (like Adobe Experience Cloud), and Gen AI applications. Help build reusable frameworks, playbooks, and IPs for digital strategy, pre-sales, and delivery excellence. About Company: Axeno Consulting Private Limited, founded in November 2014, is a Noida-based IT consulting and digital experience firm with a strong focus on customer experience (CX), personalization, analytics, and e-commerce solutions. Axeno partners with major global brands across industries, insurance, banking, retail, automotive, and government to design and deliver seamless omnichannel experiences and data-driven journeys using platforms such as Adobe Experience Manager, AI/ML, and customer data platforms.

Company : WonDRx. Business Type : Startup. Company Type : Product & Service. Business Model : B2B2C. Funding Stage : Pre-seed. Industry : Healthtech. Salary Range : 10-35 Lacs PA. Job Description : the Job. WonDRx (pronounced as Wonder-Rx) is an innovative and disruptive technology platform in healthcare, aiming to connect patients, doctors, and the entire healthcare ecosystem on a single platform. We are looking for a Data Analytics and Research Manager (AI-driven) to lead analytics and insights strategy aligned with our fast-growing product and business goals. This person will manage data pipelines, apply AI/ML models, perform healthcare research, and build a small but high-performing analytics team. Key Responsibilities Define and lead the data and analytics roadmap. Design and manage health data pipelines, dashboards, and KPIs. Apply ML/NLP for patient behavior prediction and analytics automation. Conduct market and competitor research to support business strategies. Collaborate across teams and present insights to CXOs. Mentor a data analytics team ensuring accuracy and impact. Tools & Technologies. Languages : SQL, Python/R. AI/ML : scikit-learn, TensorFlow. BI Tools : Power BI, Tableau, Looker. Cloud Stack : BigQuery, Snowflake, AWS, Databricks. GenAI Tools : ChatGPT, Copilot, Custom - Bachelors/Masters in Data Science, Statistics, Engineering, or related. 610 years in analytics with at least 2+ years in a leadership role. Strong business acumen, preferably in healthcare/life sciences. Hands-on AI/ML experience. Excellent communication and storytelling skills. Join us to transform the healthcare experience for millions. (ref:hirist.tech)

We are looking for a senior Information Security leader to join our rapidly growing fintech company. Prior experience in a regulated financial environment such as an NBFC, payment aggregator, PPI, or bank is essential. In this strategic role, you will define and drive our cybersecurity vision, ensure compliance with evolving regulations, protect critical digital assets, and strengthen our overall security posture. This is a key leadership position, working closely with executive teams to build a secure and scalable future. Responsibilities Lead the company's information security and risk management strategy. Safeguard data, intellectual property, and technology assets from internal and external threats. Ensure compliance with data privacy and cybersecurity regulations (e. g., DPDP, GDPR). Develop, implement, and enforce security policies, procedures, and incident response plans. Partner with business and IT leaders to embed security across operations and ensure resilience. Design and manage a comprehensive security program spanning cyber defense, data protection, and threat detection. Conduct risk assessments, oversee mitigation strategies, and manage security controls across on-prem and cloud infrastructure. Lead incident detection, response, recovery, and continuous improvement of the security posture. Ensure compliance through regular audits, regulatory reporting, and vulnerability assessments. Promote a culture of security through awareness training and cross-functional engagement. Monitor the evolving threat landscape and advise leadership on emerging risks and technologies. Requirements Bachelor's degree in Information Security, Computer Science, or related field. 6+ years in a senior information security role (e. g., CISO, Security Lead), with direct experience in a fintech, NBFC, banking, or regulated financial services environment. Strong grasp of cybersecurity frameworks (e. g., ISO 27001), threat modeling, and risk governance. Hands-on experience with firewalls, IDS/IPS, encryption, and other core security technologies. In-depth understanding of data protection laws and regulatory standards. Proven track record of leading and developing high-performing security teams. Preferred Qualifications Certifications such as CISSP, CISM, CISA, or equivalent. Experience securing cloud platforms (AWS, Azure, GCP). Familiarity with DevSecOps, secure SDLC, and application security. Background in penetration testing, ethical hacking, or incident forensics. Proficiency with SIEM and security analytics tools. Exposure to AI/ML applications in cybersecurity is a plus. (ref:hirist.tech)

Description Opportunity to help build and lead a transformative program from the ground up! Join us in a rare ground-floor opportunity to shape and lead a critical program within Amazon's IES DEX organization. We're evolving from a successful proof of concept to an enterprise-scale operation in the Cart Building and Package Consolidation space, with a mission-critical goal of increasing Units Per Box, driving significant cost-to-serve savings for Amazon. As a Technical Program Manager, you'll be responsible for defining and managing the lifecycle of this complex, cross-functional program. You'll work across both customer-facing products and core infrastructure, orchestrating efforts throughout the entire shopping journey - from smart notification systems and interactive product detail widgets to sophisticated checkout flows and post-purchase experiences. On the infrastructure side, you'll coordinate the development of high-throughput APIs, complex ML model integrations, and large-scale customer behavior datasets that drive decision-making across Amazon. What makes this role particularly exciting is the multi-dimensional nature of the technical challenges and the opportunity to drive significant business impact. You'll manage initiatives spanning real-time incentive vending and clawback mechanisms, sophisticated abuse prevention algorithms, and precise customer targeting solutions. Our organization has evolved to develop robust platforms and APIs that are now critical infrastructure for multiple teams across Amazon, dealing with massive scale and unique technical challenges. Candidates should have the technical depth to guide the design and implementation of complex distributed systems that run at Amazon scale, while also possessing the leadership skills to grow and mentor engineers. They excel at working with small, focused teams, take ownership of their product, and lead by example. The ability to communicate effectively with a wide variety of audiences, from engineers to executives, and comfort in pitching new ideas that drive business value are essential. In this role, you'll have the unique opportunity to directly influence Amazon's bottom line while building a high-performing engineering team from the ground up. Key job responsibilities Define and drive the overall strategy for this large-scale program, aligning teams towards coherent technology strategies and effective engineering processes. Partner with engineering leads to secure resources, scope efforts, set priorities, and drive delivery to meet program goals and timelines. Proactively identify and mitigate risks, manage cross-functional communication, and drive executive-level escalations when necessary. Balance technical requirements against business needs, making smart trade-offs between time, effort, and features. Streamline processes, improve efficiency, and create mechanisms to ensure long-term program success. Mentor and develop team members, fostering a culture of technical excellence and customer obsession. Basic Qualifications 5+ years of technical product or program management experience 7+ years of working directly with engineering teams experience 3+ years of software development experience 5+ years of technical program management working directly with software engineering teams experience Experience managing programs across cross functional teams, building processes and coordinating release schedules Preferred Qualifications 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka - A66 Job ID: A3044023

Job Description: At WNS Digital, the focus is on transforming the way clients engage with complex business problems through human-centered design principles. As a Lead Interaction Designer, your responsibility is to conceptualize the user experience of product ideas and translate them into inspired, refined, and sometimes magical designs. You will be tasked with interpreting business requirements, managing project complexity, and providing guidance to the design team to create intuitive, accessible, and user-friendly solution designs or prototypes. Throughout the design process, your role involves anticipating and advocating for user needs, ensuring adherence to Usability best practices, and delivering solutions that not only meet business objectives but also delight end users. The primary objective is to lead client engagements and develop solution prototypes that drive revenue growth. As a Design thinking evangelist, advocate of Human-Centered Design, and expert in Service Design, you will lead by example in tackling day-to-day challenges with a solution-oriented approach. Key Responsibilities: - Manage and moderate project scope and complexity across various initiatives - Act as a bridge between domain leaders, subject matter experts, and technology teams to deliver user experience solutions - Collaborate closely with cross-functional team members to grasp product requirements, lead user research, conduct usability testing, synthesize insights, and prototype solutions - Apply UX design principles and regularly review design outcomes to ensure alignment with project goals - Supervise the design team and mentor designers to enhance their performance and productivity Qualifications: - Demonstrated experience working with UX teams and proficient in both verbal and visual communication to articulate ideas effectively - Hands-on experience in facilitating Digital Transformation or Human-Centered Design workshops - Strong knowledge of analytical, operational, and statistical dashboards, Material Design, iOS guidelines, etc. - Passion for AI/ML integrated product solutions is a plus - Education: Graduate or Post-graduate in design (preferably in HCI, Interaction, or related fields) or equivalent practical experience - 4-6 years of experience in UX, managing design teams, product design environments, and contributing to multiple product platforms (B2C, B2B, web, mobile, Adaptive, Responsive, etc.) - Direct engagement with client stakeholders and front-ending client interactions (Note: The above Job Description is based on the provided content and does not include any headers.),

About Us About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership. Job Description Job Description: We are looking for a highly skilled Senior Data Scientist with 3–9 years of experience specializing in Python, Large Language Models (LLMs), NLP, Machine Learning, and Generative AI . The ideal candidate will have a deep understanding of building intelligent systems using modern AI frameworks and deploying them into scalable, production-grade environments. You will work closely with cross-functional teams to build innovative AI solutions that deliver real business value. Responsibilities Design, develop, and deploy ML/NLP solutions using Python and state-of-the-art AI frameworks. Apply LLMs and Generative AI techniques to solve real-world problems. Build, train, fine-tune, and evaluate models for NLP and GenAI tasks. Collaborate with data engineers, MLOps, and product teams to operationalize models. Contribute to the development of scalable AI services and applications. Analyze large datasets to extract insights and support model development. Maintain clean, modular, and version-controlled code using Git. Requirements Must-Have Skills: 3–10 years of hands-on experience with Python for data science and ML applications. Strong expertise in Machine Learning algorithms and model development. Proficient in Natural Language Processing (NLP) and text analytics. Experience with Large Language Models (LLMs) and Generative AI frameworks (e.g., LangChain, Hugging Face Transformers). Familiarity with model deployment and real-world application integration. Experience with version control systems like Git. Good To Have Experience with PySpark for distributed data processing. Exposure to MLOps practices and model lifecycle management. Familiarity with cloud platforms such as AWS, GCP, or Azure. Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings. Educational Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Benefits Work with cutting-edge technologies in a collaborative and forward-thinking environment. Opportunities for continuous learning, skill development, and career growth. Exposure to high-impact projects in AI and data science.

As an experienced and passionate AI/ML Trainer, you will be responsible for delivering hands-on training for a structured Artificial Intelligence & Machine Learning program. This contract-based opportunity is ideal for professionals with strong technical expertise and a flair for teaching. Your key responsibilities will include delivering in-depth classroom and lab-based training sessions on core AI/ML topics, designing, developing, and maintaining training material, assignments, and project modules, conducting doubt-clearing sessions, assessments, and live coding exercises, guiding students through capstone projects and real-world datasets, evaluating learner performance, and providing constructive feedback. It will also be your responsibility to stay updated with the latest industry trends, tools, and techniques in AI/ML. The topics you will cover during the training sessions include Python for Data Science, Statistics and Linear Algebra Basics, Machine Learning (Supervised, Unsupervised, Ensemble Techniques), Deep Learning (ANN, CNN, RNN, etc.), Natural Language Processing (NLP), Model Deployment (Flask, Streamlit, etc.), and hands-on experience with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV, and tools such as Jupyter, Git, Google Colab, and VS Code. To be eligible for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with at least 24 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills are essential, as well as the ability to mentor and engage learners of varying skill levels. Prior training or teaching experience, whether academic or corporate, is preferred. Your skills should include expertise in ML, scikit-learn, TensorFlow, Jupyter, Natural Language Processing, OpenCV, Python for Data Science, Google Colab, Deep Learning, Model Deployment, NumPy, Keras, Linear Algebra, Statistics, Pandas, Git, VS Code, and a good understanding of contractual, artificial intelligence, and machine learning concepts.,

The responsibilities for this role include executing discussions with the business to thoroughly understand their requirements. You will be analyzing and mapping Business Requirement Definitions (BRD/FRD) for clarity and accuracy. Additionally, you will assist in designing existing business processes using automation technologies (such as AI/ML) to increase efficiency, productivity, and quality organization-wide. Furthermore, you will be organizing the implementation of business process re-engineering strategies and utilizing process modelling, data analytics, and change management techniques to achieve significant and sustained improvements in business performance. You will also be exploring new methodologies and technologies for process innovation and seamless integration. In this role, you will be mapping technology requirements, identifying gaps, and supporting the proposal of optimized solutions for streamlined operations. Utilizing visualizations and analysis to empower informed decisions will be a key aspect of your responsibilities. You will also be expected to extract actionable insights from large datasets, supporting strategic decision-making processes. The educational qualification required for this position is a BE / B Tech / MBA in Technology, Computer Science, Information Systems, or General Management.,

As the Head of AI at our company, you will play a crucial role in leading the research, development, and deployment of cutting-edge AI and ML models that drive our SaaS platform. This position requires a unique blend of profound technical knowledge, product insight, strategic acumen, and the ability to make a significant impact on a large scale. Your primary objective will be to translate ambitious AI concepts into practical solutions that bring tangible business value. Your responsibilities will include defining and overseeing the AI roadmap and strategy to align with our product and business objectives. You will design and construct state-of-the-art AI/ML systems and pipelines that are not only robust and scalable but also easy to maintain. Leading and guiding a team comprising machine learning engineers, data scientists, and researchers will be a core aspect of your role. Collaboration with engineering, product, and design teams to seamlessly integrate AI solutions into user-facing features will be essential. You will be at the forefront of exploring and implementing the latest advancements in NLP, LLMs, generative AI, and other pertinent domains to enhance our core product. Additionally, you will be responsible for supervising data collection, annotation, and governance processes to drive AI innovation in a responsible and ethical manner. Your vision and leadership will be instrumental in shaping the foundation of a product that sets new standards in its category. Working alongside industry pioneers in an environment that values initiative and innovation, you will have end-to-end ownership, enabling quick decision-making and the opportunity to witness your work in production promptly. Joining a dynamic, collaborative, and fast-paced team dedicated to pushing the boundaries of AI, you will enjoy perks and benefits such as gym membership, health insurance, company-sponsored lunches, and more.,

About Instead Instead is a tax platform designed to help taxpayers and tax professionals collaborate to save money on taxes. As the first company in decades to receive IRS approvals to E-file 1040, 1041, 1120, 1120S, and 1065 — we're re-inventing a complex category. Founded in 2023, Instead combines LLMs with tax law to make tax management a continuous, proactive process rather than a dreaded annual deadline. Instead's investors include Sarah Guo from Conviction (conviction.com), IRIS (irisglobal.com) the largest tax software provider in the UK and many of our partners and customers who believe in our mission and vision. The Instead team comprises talented leaders from leading tax, financial services and fintech companies — Gusto, Intuit, Zenefits, Thomson Reuters, Wolters Kluwer — as well as top tax & accounting firms such as PwC, BDO, RSM, and KPMG. Instead was a 2024 Innovation Award Finalist in CPA Practice Advisor. Instead's CEO, Andrew Argue, is a CPA and has been named Top 100 Most Influential People in the Accounting Profession twice - Ones To Watch and CPA Practice Advisors 20 under 40. About the role In this role, you will get the chance to build innovative AI-powered tax software alongside a dynamic team. You'll work on both our customer-facing product Instead (instead.com) and our backend internal tooling that empowers our teams to build cutting-edge features. This role is at the forefront of leveraging AI to drive innovation across our platform, working on exciting high-value features for our customers. If you're passionate about working on real production use cases utilizing LLMs and want to contribute to groundbreaking AI applications in a fast-paced environment, you'll thrive as you help us drive innovation in tax technology. Here is the tech you will get the change to utilize: Front End: Vue, Nuxt, TypeScript, Tailwind CSS Back End: Go, Docker on AWS ECS/Fargate, PostgreSQL on AWS RDS AI: Cursor with Sonnet 3.5, Langchain, Helicone, Gemini, OpenAI's API utilizing 4o (still exploring best use cases for o1 pro) and any other piece of AI tech that we can get our hands on What you'll do Ship full-stack product features end to end for our live customer platform Make key product improvements based on customer feedback and usage analytics Understand and solve critical product bugs across the full stack Build and integrate components for infrastructure, supporting production-level inference and advanced prompt engineering Create tools and internal platforms to enhance the productivity and capabilities of Instead's teams Additional projects as needed by the internal engineering team and US-based product teams What you'll need Proficiency in full-stack development, with a strong understanding of web frameworks, backend systems, and cloud infrastructure Experience building backend systems and infrastructure that can support live products 3+ years of software development experience High attention to detail Fast learner who enjoys working in a fast-paced, innovative environment Nice to have A track record of working on full-stack projects, end-to-end Experience with AI/ML frameworks and prompt engineering Experience programming using AI copilots such as Cursor, GitHub Copilot, ChatGPT, Claude, Windsurf, etc. Experience with the technologies in our current stack Experience building customer-facing products at scale Why join us Ability to work with cutting edge AI in all stages of the software development lifecycle Work on a cutting-edge tax tech platform that's transforming the industry Be part of a collaborative, mission-driven team Competitive compensation and benefits Growth opportunities in product development, compliance, and technology Opportunity to work with cutting-edge AI technology in production environments Equal Opportunity Employer - M/F/D/V As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. We trust our team with sensitive information, so all candidates who receive and accept employment offers must complete a background check before joining us.

You are a skilled and experienced professional looking to join a dynamic team at Enlighta, a USA-based software products company with a presence in India. With a focus on on-demand supplier governance and contracts compliance management solutions, Enlighta is a global leader in providing innovative software solutions to optimize supplier and contract compliance functions for leading enterprises. Enlighta values creativity and teamwork, working on cutting-edge technologies such as AI, ML, NLP to develop solutions that address complex business challenges. As part of our team of high-energy individuals, you will have the opportunity to make a lasting impact and enjoy a fun work environment. We are seeking individuals with 8 to 15 years of experience in project management, delivery management, and product management within enterprise software companies or leading IT services firms. Your role will involve client engagement management, software development, requirements elicitation, pre-sales activities, client escalations, application support, and project management for global 2000 enterprises. Experience in supplier management solutions, contracts & SLAs, metrics, dashboards, BPM, PPM, spend management, and IT governance is highly desirable. A strong technical background, particularly in Java stack and cloud deployment, will be advantageous as Enlighta's solutions are based on these technologies. In this role, you will be involved in client interface, project management, requirements capture, configuration, customization using Groovy scripts, testing, issue management, deployment, and enhancing the capabilities of the Enlighta product suite. Joining our team offers a unique opportunity to work in a small team environment that encourages learning and growth. We provide a competitive compensation package for candidates who possess the right skills and experience. If you are interested in this exciting opportunity or know someone who might be a good fit, please forward your profile to jobs@enlighta.com.,

You will be responsible for functions, activities, and skills required for the analysis, design, coding, integration, test & maintenance of Intelligent Document Processing modules and systems. Your main focus will be on building NLP based solutions for query and document analysis, processing, information extraction, document classification, and context-based information retrieval. Additionally, you will conduct research to advance the state-of-the-art Deep learning and NLP technologies. Your role will involve building knowledge of the organization, processes, and customers. You should have knowledge and experience in your own discipline while continuously acquiring higher-level knowledge and skills. You will receive a moderate level of guidance and direction, with moderate decision-making authority guided by policies, procedures, and business operations protocol. In terms of technical skills, you should have proficiency and experience working in the technical area of Intelligent Document Processing, including Digitization, OCR/ICR/OMR, LLM, Classification Methodologies, Data Extraction Methodologies, ML, AI, DL, NLP, etc. Experience in designing & developing highly scalable templates and training documents on IDP for efficient data extraction from semi/un-structured PDFs or images is essential. Familiarity with Docker, flask APIs, Redis, and Celery is a must. You will closely work with Solution Architects/Team leads, prepare technical design documents, and implement automated deployment. Understanding and practicing AGILE Methodologies, Software Development Lifecycle (SDLC) using Code Management & Release Tools (MS DevOps, Github, Team Foundation Server), working with Relational Databases, SQL Scripting (MS SQL Server), and clear understanding of Architecture and infra requirements are crucial for this role. Experience or proficiency in Python would be useful for this position. This is a fully remote position.,

The ideal candidate for this position should possess expertise in Core Python and have hands-on experience with Web Frameworks such as Django, Flask, or FastAPI. You should have strong analytical skills and a good understanding of SQL & RDBMS. Proficiency in code versioning tools is also required for this role. You must be able to work collaboratively on projects while also being capable of working independently when necessary. The ability to integrate multiple data sources into a single system is essential for this position. Experience in designing and developing RESTful APIs is a must-have for this role. You should be self-driven, result-oriented, and possess basic knowledge of AI, ML, and Data Science. As a part of the team, you should be a team player who is confident, decisive, enthusiastic, and flexible.,

You will be joining a global team dedicated to protecting, healing, and nurturing in the pursuit of a cleaner, healthier world. As part of the Information Technology & Digital department, you will play a vital role in championing cyber security, leveraging technology to enhance business operations, and utilizing data to drive innovation in consumer products. Your main responsibilities will include leading the evolution of Reckitt South Asia's data stack, managing data integrity and confidentiality, collaborating with cross-functional teams to integrate analytics solutions, applying mathematical and statistical principles along with AI/ML algorithms to tackle business challenges, staying updated on industry trends, and ensuring adherence to global guidelines as a regional product manager for data solutions. We are looking for a data scientist & analytics lead with 3-6 years of experience in consumer goods/ durables/ retail/ food & beverages/ electronics industry, proficient in Python and relevant libraries/frameworks, experienced in data modeling, visualization, and building/managing data pipelines, possessing strong problem-solving skills, and the ability to manage multiple stakeholders and drive initiatives. Key skills required for success in this role include Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, and Customer Segmentation. We offer a supportive environment that values inclusion and individual growth, where your potential and unique qualities are recognized and appreciated. If you are passionate about leveraging data to drive business value and are excited about contributing to a cleaner, healthier world, we encourage you to apply even if you do not meet every requirement listed in the job description. Your potential and fit with our company culture are equally important to us.,

Overview We are looking for a high-impact Product Manager who thrives at the intersection of technology and pharma/life sciences . This role demands a sharp strategic thinker with hands-on technical depth , product ownership mindset , and a solid grasp of pharma domain knowledge — from primary market research (PMR) insights , competitive intelligence (CI) , to brand strategy . If you can translate brand/medical/commercial objectives into robust, scalable product solutions using AWS-native architectures , ML/GenAI models , and modern DevOps practices , you belong here. Key Responsibilities Product Leadership Own the end-to-end product lifecycle from discovery to launch across pharma/life sciences use cases. Translate unmet market and brand needs into differentiated, scalable, and user-centric product solutions. Prioritize features across platform modules by aligning commercial, medical, and data science needs. Partner with commercial, brand, and medical teams to translate PMR and CI into actionable product features. Technical & Platform Strategy Drive architectural discussions and product decisions around AWS cloud infrastructure , including Glue , Athena , Data Lake , S3 , Lambda , and Step Functions . Collaborate with engineering to ensure CI/CD pipelines , Docker , Kubernetes , and ML Ops practices are integrated for faster product iterations. Enable delivery of GenAI capabilities in the platform — from document intelligence, medical NLP, summarization to insight generation. Data & AI Productization Lead data strategy for ingesting, cleaning, and transforming EMR, Claims, HCP/HCO, and RWD data using PySpark , SQL , and data pipelines . Build roadmap around ML/GenAI-driven use cases: e.g., treatment pathway prediction, KOL segmentation, site recommendation, competitive tracking. Collaborate with data scientists to deploy models in production using APIs and cloud-native services. Market & Domain Expertise Leverage deep knowledge of pharma workflows (Medical Affairs, Market Access, Clinical Dev, Commercial Ops). Map out patient journeys, treatment landscapes, and brand objectives into platform features. Convert PMR data and CI signals into competitive positioning and product differentiation. Required Qualifications 6–8 years of experience in product management or technical product ownership. Strong experience in pharma or life sciences industry — ideally in commercial, medical, or clinical tech products. Proven hands-on experience with AWS cloud architecture , especially Glue, Athena, Data Lake, Step Functions. Proficient in Python , SQL , PySpark , and working knowledge of ML modeling & GenAI frameworks (LangChain, OpenAI, HuggingFace, etc.) . Strong grasp of DevOps pipelines (CI/CD, GitHub Actions/GitLab, Terraform, Docker, K8s) . Strong understanding of data engineering concepts — ingestion, normalization, feature engineering, and ML pipeline orchestration. Familiarity with primary market research methodologies , CI tools , and brand strategy in pharma. Preferred Skills Prior experience building SaaS or platform products in regulated industries. Knowledge of data privacy, HIPAA, and compliance frameworks.

Job Description About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Key Responsibilities Develop and implement Fraud and Risk Management practices that are in line with the client's needs and regulatory frameworks Identify digital tools in the Fraud space to meet with specific client requirements Work closely with the operations & support teams to identify potential risks Identify the need and methods to automate fraud detection and risk mitigation as per client's requirements You will need to research and develop market insights and industry best practices in fraud detection and risk management Participate in the presales process including but not limited to RFP/RFI responses, Point of View management and overall deal solutioning Participate in client discussions to craft pro-active solutions to meet client needs Demonstrate in-depth knowledge on Fraud Detection, Investigation, Dispute management and other related practices. Provide thought leadership and detailed execution on diverse projects Identify areas of risk and make recommendations on operational improvements, quality assurance and any additional training crucial to mitigate risk. Seeks ways to assist the organization in strengthening the FCRM practice Identify transformation needs and opportunities and facilitate client discussions for execution Requirements Graduate in any field (CFE & CAMS certified preferred) 6+ experience in Customer Lifecycle Management, Fraud Investigations or disputes and chargeback management Someone with a solid understanding and experience on Anti-fraud practices. Understand the latest tools and technologies prevalent in the space and has experience in building/contributing in designing digital tools (using RPA, ML, run queries and build macros) Experience in Client Management. Good analytical and problem-solving skills and ability to handle team and client discussions Bachelor's degree or a combination of education and experience. How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/ . TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community. Req Id: R_2507_10053 Posted At: Fri Jul 25 2025 00:00:00 GMT+0000 (Coordinated Universal Time)

Software Engineer Dev Python AI/ML REQ/0749 Job Id: REQ/0749 Location: Chennai Experience: 3 to 8 Years CTC: 10L to 18L Date Posted: 15-Jul-2025 Employment Type: Permanent No. of Openings: 6 Looking for an ML Engineer to design & implement AI/ML models using Python, TensorFlow, PyTorch, Scikit-learn. Optimise models, run experiments, transform data via classification/clustering, and stay updated on the latest AI/ML advancements. Desired Candidate Profile 3 years of experience in Software Design & Development in Python Makes pragmatic technical decisions beyond immediate scope Strong in debugging complex issues and mentoring junior engineers Solid understanding of Data Structures and OOP Proficient in TDD, Unit & Integration testing Experience with Databases, Statistics, and Data Science Skilled in Python; can write robust, testable code Hands-on with ML frameworks: Keras, PyTorch, scikit-learn AutoML experience is a plus Familiar with AI Cloud platforms: H2O, DataRobot, AWS, Azure Education/Specific Knowledge Bachelors or Above Degree in any discipline Key Skills Python, AI/ML, Keras, PyTorch, scikit-learn, H2O, DataRobot, AWS, Azure, FastAPI/Flask, MySQL or Oracle or PostgreSQL, XML, Unit Testing Highlights To know the benefits of Sysvine please visit the bottom of this page. We are open to considering candidates who are on a long break but are still passionate about restarting their careers. Our Benefits India Annual Team Trips Happy Fridays GameVine - Annual Games AimVine - Annual Party Social Responsibilities - Tree Planting, Volunteering for Orphans, Gadget Donations, Blood Donations Camps, Flood Relief Support, Cyclone Relief Support Health Campaigns Birthday Celebrations First Aid & Fire Safety Training Guest Speakers Benefits Accidental Insurance Family Health Insurance Parental Health Insurance Sick Leave Casual Leave Privilege Leave Floating Leave Holidays Short Term Disability Insurance Long Term Disability Insurance Employee Referral Bonus Product Referral Bonus Sodexo Passes Remote Working Flexible Working Hours Maternity Benefit Leave Encashment Tuition Reimbursement Niceties Welcome Kit MacBook Pro iPhones and Android Phones for Mobile Departments Coffee and Biscuits Recreation Room Resting Room Fitness Programmes and Equipment International Traditional Day Personal Tax Management Sessions Shuttle Services from/to Train Big Monitor Recognition Performance Bonus Extra Mile Recognition (EMR) Annual Achievement Awards Special Bonuses Overseas Deputations Leadership Training Programs Technical Conferences Engaging Ethical Diverse Team Lunches D-Day (Difficult Day Policy) I-Day (Inconvenient Day Policy) Technical Conferences Personal Financial Management Sessions Leadership Training Programs Tax Saving Sessions Guest Speakers Benefits Health Insurance Unemployment Insurance Paid Time Off Floating Leaves 8 Holidays Short Term Disability Insurance Workmen Compensation Employee Referral Bonus Product Referral Bonus CalSavers Tuition Reimbursement Recognition Performance Bonus Extra Mile Recognition (EMR) Annual Achievement Awards Special Bonuses Technical Conferences

Faculty AIML Ahmedabad (Immediate Joiner) Full-time Company Description ImaginXP is a leading Ed-Tech organization for future skills, it has been addressing the need for a quality curriculum, and skill gap that exists in the higher education ecosystem with well trained faculty, industry-focused curricula, and a digital platform with 100 corporate coaches in different subject matters. It has been catering to the need of higher education for over 15,000 learners studying across various industry-oriented full-time degree programs, in UX Design, Communication Design, Industrial Design, FinTech, AI & ML, RPA, to name a few. Apart from being a knowledge organization, ImaginXP is also a virtual university platform with live classroom access, challenges, short-term certification academy, events, and corporate mentors to guide and teach the students across the six years of graduation and post-graduation. It is also a pioneer in providing quality training & workshops in User Experience & Design Thinking for professionals and corporates. This is a full-time on-site role for an AIML Faculty at CollegeDekho in Bangalore. The Faculty will be responsible for delivering lectures, designing curriculum, mentoring students, and conducting coding workshops. The role involves staying updated with the latest technologies, collaborating with other faculty members, and contributing to the continuous improvement of the program. Qualifications Masters in Computer Science

Job Description About the job Location: Bangalore Career Level: IC3 Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation, blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale. We’re looking for an experienced Sr. Applied Science (IC3) with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science model. In this role, you will develop of secure, scalable, and innovative AI solutions leveraging cutting-edge techniques in computer vision, Large multimodal models and other GenAI technologies. As a Senior Applied Scientist, you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification, object detection, vision grounding etc. This individual contributor(IC) role will build best-in-class computer vision solutions at scale. is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions, drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management, Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques, deep learning techniques, model serving, and a demonstrated ability to think strategicallyabout business, product, and technical challenges to contribute to the development of current and future vision services. Key Responsibilities Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models. Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective. Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance. Analysis of ML models, and optimizing models for accuracy and latency. Large-scale training & production deployment with ML models. Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model. Experience implementing machine learning algorithms or research papers from scratch to production. Work with large, complex data sets. Proactively identify the technical issues/bugs and provide innovative solutions. File patent and publication as by product of solving complex business problems Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required. Leverage Oracle Cloud technology. Preferred Qualifications Ph.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field. PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification. Strong foundation indeep learning architectures such as CNNs, transformers, diffusion models, and multimodal models. Expert in at least one high level language such as Python/Java/C++ Practical experience in ML algorithm design, model training and production deployment using microservices architecture Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology. Experience or willingness to learn and work in Agile and iterative development processes. Strong drive to learn and master new technologies and techniques. Deep understanding of data structures, algorithms, and excellent problem-solving skills. You enjoy a fast-paced work environment. Responsibilities Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Beckman Coulter Diagnostics, one of Danahers 15 operating companies, our work saves livesand were all united by a shared commitment to innovate for tangible impact. Youll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danahers system of continuous improvement, you help turn ideas into impact innovating at the speed of life. As a global leader in clinical diagnostics, Beckman Coulter Diagnostics has challenged convention to elevate the diagnostic laboratorys role in improving patient health for more than 90 years. Our diagnostic solutions are used in routine and complex clinical testing, and are used in hospitals, reference and research laboratories, and physician offices around the world. Every hour around the world, more than one million tests are run on Beckman Coulter Diagnostics systems, impacting 1.2 billion patients and more than three million clinicians per year. From uncovering the next clinical breakthrough, to rapid and reliable sample analysis, to more rigorous decision makingwe are enabling clinicians to deliver the best possible care to their patients with improved efficiency, clinical confidence, adaptive collaboration, and accelerated intelligence. Learn about the Danaher Business System which makes everything possible. The Senior AI Data Scientist is responsible for the design development and support of Artificial Intelligence (AI) systems spanning the fields of Generative AI (Gen AI), agentic workflows, Machine Learning (ML), Natural Language Processing (NLP), and Robotic Process Automation (RPA). These systems will support all aspects of Quality, Regulatory and Clinical Affairs (QRC). This position reports to the Sr. Senior Manager Innovation DBSL and AI and is part of the Quality, Regulatory and Clinical Affairs team located in Bangalore and will be an on-site role. In This Role, You Will Have The Opportunity To Design, develop, and deploy cutting-edge AI and machine learning solutions, including Generative AI and agentic workflows, that directly enhance Quality, Regulatory, and Clinical Affairs (QRC) functions. Lead the full lifecycle of AI applications, from initial data gathering and model development to robust deployment, hosting, and ongoing maintenance in production environments, leveraging DevOps and full-stack development principles. Drive data-driven decision-making by applying advanced analytics and data visualization techniques, transforming complex data into actionable insights for business stakeholders using tools like Power BI. Explore and integrate new and emerging AI technologies, continuously improving existing solutions and identifying innovative use cases to expand our AI capabilities across QRC. Build custom applications and integrate solutions on top of existing enterprise systems and as standalone tools, utilizing both traditional programming (Python/R) and low-code/no-code platforms within the Microsoft Power Platform suite. The essential requirements of the job include: Bachelors degree in computer science, Computer Information Systems or related field with 5 years of experience or a Masters degree in related field with 3 years of experience. Proficient in programming languages such as Python or R, with experience in developing ML models, custom pipelines, and working with open-source AI libraries (e.g., Hugging Face, Scikit-learn, Lang Chain, TensorFlow, etc.). Practical experience using AI, ML, and Generative AI in real-world applications is essential. Strong data analytics and advanced analytics skills, including the ability to pull data, derive insights, and provide visualizations using business-friendly applications like Power BI. Experience with deploying, hosting, and maintaining AI applications and models in production environments, demonstrating a foundational understanding of DevOps principles, full-stack development, and the ability to build custom applications on top of enterprise systems and standalone solutions. Familiarity with Microsoft Power Platform (Power Apps, Power Automate, Power BI) for developing low-code/no-code solutions and integrating workflows. It would be a plus if you also possess previous experience in: FDA Regulated industry experience. In-depth understanding of AI, ML, Generative AI, and their applications in the healthcare and diagnostics industry. Join our winning team today. Together, well accelerate the real-life impact of tomorrows science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.