880 Nlp Jobs - Page 30

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 10-25 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales expertise, team leadership , and technical proficiency across classical machine learning, deep learning, and generative AI . You will engage in high-level client discussions, drive technical sales strategies, and lead a team to design and implement cutting-edge ML solutions. This is a strategic role requiring both thought leadership and hands-on technical contributions. Roles & Responsibilities Key Responsibilities Pre-Sales & Client Engagement Collaborate with the sales and business development teams to identify client needs and formulate AI/ML solutions. Present technical concepts, project proposals, and proof-of-concepts (POCs) to prospects and clients. Translate complex client requirements into actionable project scopes, estimates, and technical proposals. Leadership & Team Management Provide direction, mentorship, and performance feedback to a team of data scientists and ML engineers. Establish best practices in solution design, code reviews, model validation, and production deployment. Drive the strategic roadmap for AI initiatives,ensuring alignment with organizational goals and market trends. Classical Machine Learning & Statistical Modeling Apply classical machine learning techniques (e.g.,regression, clustering, decision trees, ensemble methods) to solve diverse business problems. Design and optimize data pipelines, feature engineering processes, and model selection strategies. Ensure robust model evaluation, tuning, and performance monitoring in production environments Deep Learning & Generative AI Develop and maintain deep learning models using frameworks such as TensorFlow or PyTorch for tasks like computer vision, NLP, or recommendation systems. Explore and build solutions leveraging generative AI (GANs, VAEs, or transformer-based architectures) for innovative product features and services. Champion research and experimentation with state-of-the-art AI models, staying ahead of industry advances. Project Delivery & MLOps Lead end-to-end ML project lifecycles, from data exploration and model development to deployment and post-launch maintenance. Implement MLOps best practices (CI/CD,containerization, model versioning) on cloud or on-premise infrastructures. Collaborate with DevOps and engineering teams to integrate ML solutions seamlessly into existing systems. Stakeholder Management & Communication Serve as a key technical advisor to executive leadership, product managers, and client teams. Communicate complex AI/ML findings in clear,actionable terms to both technical and non-technical audiences. Advocate data-driven decision-making and foster a culture of innovation within the organization. Required Qualifications Education & Experience Masters or PhD in Computer Science, Data Science, Engineering, or a related field is preferred. 12+ years of relevant industry experience in data science or ML engineering, with 5+ years in a leadership or management capacity. Technical Expertise Pre-Sales : Demonstrated experience in client-facing roles, solutioning, and proposal development. Classical ML : Skilled in traditional algorithms (regression, classification, clustering, etc.) and statistical methods. Deep Learning : Hands-on expertise with frameworks (e.g., TensorFlow, PyTorch) for CNNs, RNNs, transformer architectures, etc. Generative AI : Practical exposure to GANs, VAEs, or large language models, with a track record of building generative models. MLOps : Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, GCP). Leadership & Communication Proven ability to mentor and lead data science/ML engineering teams to meet project goals. Exceptional communication skills for presenting to clients, stakeholders, and executive leadership. Experience in agile methodologies and project management, balancing multiple projects simultaneously. Preferred / Bonus Skills Experience in big data ecosystems (Spark, Hadoop) for large-scale data processing. Background in NLP , computer vision , or recommendation systems . Knowledge of DevOps tools (Jenkins, GitLab CI, Terraform) for infrastructure automation. Track record of published research or contributions to open-source AI projects. Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Exp 8-15 yrs in technology product engineering Industry: Banking/NBFC/BFSI Gender-Male only Strong proficiency in BI platforms Deep understanding of cloud platforms Expertise in API development & management In-depth knowledge of AI & NLP technologies

ExperienceRequired: 8-10 years PositionType: Contract WorkMode: Remote,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad ShiftTiming: Flexible can start between 11 AM to 2 PM IST, end between 8 PM to 11 PM IST 3MustSkills: Gen AI, AWS, SQL Key Responsibilities NLP Expertise: Strong foundation in NLP methods text classification, sentiment detection, entity recognition. RAG Expertise: Proficiency with Retrieval-Augmented Generation (RAG); experience with vector databases (Weaviate, Pinecone). LLM Applications: At least 1 year experience building LLM-based applications using 3rd-party models (OpenAI, Anthropic). Prompt Engineering: Skilled in prompt engineering, crafting function calls, building conversational AI apps. Advanced LLM Techniques: Familiarity with zero-shot, few-shot learning, and fine-tuning. Python Programming: Extensive Python programming expertise to implement complex solutions. GenAI Libraries: Experience with Langchain, HuggingFace. Version Control: Proficient with Git and collaborative workflows. Data Preparation: Manage large structured & unstructured datasets. ML Deployment: Deploy, scale, and monitor ML/LLM models in live environments. Collaboration: Occasional overlap with US Eastern Time for team collaboration. DesiredExperience OpenSourceLLMs: Experience with frameworks like Llama or Mistral. RegulatedSectorExperience: Prior experience with data in regulated sectors (Healthcare, Banking). TechnicalSkillsAndCapabilities APIDevelopment: RESTful API design & development (Python-FastAPI). JavaScriptExpertise: Frontend & backend development using JavaScript + frameworks. Microservices Architecture: Architect scalable microservices-based solutions. GenerativeAILandscape: Deep understanding of RAG, vector embeddings, LLMs, OSS AI tools. CloudPlatforms: AWS / Azure / GCP deep understanding of cloud data services. DatabaseExpertise: SQL & NoSQL database design and optimization. DataStreaming: Kafka / Azure Event Hub / AWS Kinesis experience. AgilePractices: Experience with Agile development, Git, Jenkins, Azure DevOps. CICDPipelines: Ability to build/manage CI/CD pipelines. CommunicationSkills: Strong team collaboration, technical & non-technical stakeholder engagement.

Role & responsibilities Mandatory Skill: Python, AI/ML, NLP Programming Languages: Python is particularly popular due to its extensive libraries for AI and machine learning .Proficiency in any languages such as Python, Java, R, C++, and JavaScript is essential. Machine Learning and Deep Learning: A strong foundation in machine learning algorithms (e.g., linear regression, decision trees) and deep learning techniques (e.g., neural networks) is crucial Natural Language Processing (NLP): Skills in NLP techniques like text classification, sentiment analysis, and language modeling are vital for developing chatbots and virtual assistants Data Analysis and Visualization: Ability to analyze and visualize data using tools like Pandas etc AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn . Work Location: Chennai/Hyderabad/Pune/Trivandrum/Bangalore Interested candidate share me your updated resume in recruiter.wtr26@walkingtree.in

What you will do In this vital role you will play a key role in successfully leading the engagement model between Amgen's Technology organization and Global Commercial Operations. Collaborate with Business SMEs, Data Engineers and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Conversational AI product team Become a domain authority in Conversational AI technology capabilities by researching, deploying, and sustaining features built according to Amgens Quality System Lead the voice of the customer assessment to define business processes and product needs Work with Product Managers and customers to define scope and value for new developments Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog Ensure Acceptance Criteria and Definition of Done are well-defined Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs Develop and implement effective product demonstrations for internal and external partners Maintain accurate documentation of configurations, processes, and changes Understand end-to-end data pipeline design and dataflow Apply knowledge of data structures to diagnose data issues for resolution by data engineering team Implement and supervise performance of Extract, Transform, and Load (ETL) jobs What we expect of you We are all different, yet we all use our unique contributions to serve patients. We are seeking a highly skilled and experienced Specialist IS Business Analyst with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders with these qualifications. Basic Qualifications: Masters degree with 4 - 6 years of experience in Information Systems Bachelors degree with 6 - 8 years of experience in Information Systems Diploma with 10 - 12 years of experience in Information Systems Experience with writing user requirements and acceptance criteria Affinity to work in a DevOps environment and Agile mind set Ability to work in a team environment, effectively interacting with others Ability to meet deadlines and schedules and be accountable Preferred Qualifications: Must-Have Skills Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologies Experience with Agile software development methodologies (Scrum) Superb communication skills and the ability to work with senior leadership with confidence and clarity Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in managing product features for PI planning and developing product roadmaps and user journeys Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology concepts Understanding of data and analytics software systems strategy, governance, and infrastructure Familiarity with low-code, no-code test automation software Technical thought leadership Able to communicate technical or complex subject matters in business terms Jira Align experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Technical Skills: Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets) AWS (similar cloud-based platforms) Experience with design patterns, data structures, test-driven development Knowledge of NLP techniques for text analysis and sentiment analysis

10+yrs in software developmnt,3+ with GenAI or NLP Python (FastAPI, asyncio)strong with Hugging Face, OpenAI APIs, LangChain vector databases (e.g.Pinecone, Weaviate) & MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively

At (TekLink HGS Digital), our vision is to be the globally preferred digital transformation partner for our clients, creating value in their business through rigorous innovation at scale. We are an expert team of 500+ leading strategic thinkers, digital marketing and creative masters, data analysts, software engineers, and process optimization specialists with an elemental desire to create transformative digital solutions. Job Title: Data Scientist Location: Hyderabad, India Duration: Full time . Data scientist would support our internal teams and clients in driving strategic decisions, applying advanced statistical & predictive analytics and machine learning concepts to solve business problems in BFSI and CPG domains. You will also phrase requirements document, contribute towards project plan, carry out data research and collection, study attributes and features, test for parameters, resolve data issues, decide on models, modeling, QA/testing and showcase the findings in various formats for client consumption. Responsibilities: a) Analytics Requirements Definition: Works with business users to approve the requirements for analytics solution. b) Data Preparation: Reviews data preparation rules (data extraction, data integration, data granularity, data cleansing etc.). Prepares data for analytical modelling. Guides data analysts and associate data scientists on data preparation activities. c) Builds Machine Learning (ML) and Statistical Models using Python/R/Scala/SAS/SPSS d) Collaborate with clients and internal teams to define industry-leading analytics solutions for a wide variety of industries and business groups e) Develop proof-of-concepts and demos needed for client & internal presentations f) Create clear functional and technical documentation g) Work agnostic across multiple industry sectors and functional domains, with focus on BFSI and CPG domains. h) Work closely with all stakeholders to identify, evaluate, design, and implement statistical and other quantitative approaches for modeling enterprise scale data and big data i) Display proficiency in converting algorithmic proof of concepts into business requirement documents for product development or data driven actionable intelligence Minimum Requirements & Qualification The ideal candidate should have: Full time Degree in Mathematics, Statistics, Computer Science or Computer Applications from reputed institutions, B.E./B.Tech., MBA specialized in Marketing, Operations Research, Data Science and/or Business Analytics Overall 8+ years of technical experience in IT industry across BFSI and CPG domains. Minimum of 5 years of hands-on work experience in Data Science/Advance analytics, Machine Learning using Python and SQL Practical experience specifically around quantitative and analytical skills is required. People management skills and experience, and familiarity with the pharmaceutical industry are preferred. Knowledge of solution design, planning, and execution Contribute to case studies, blogs, eBooks, and whitepapers Proficiency in maintaining strong project documentation hygiene Able to fully assimilate into automated MLOps mode Must have good communication skills written, oral, ppt and language skills Able to translate statistical findings to business English Hands on experience in one or more of the skillsets below: Programming Language: R Programming, Base SAS, Advanced SAS Visualization Tool: Tableau, MS Excel, think-cell, Power BI, Qlik Sense Automation Tool: VBA Macro, Python scripts Basic understanding of NLP/NLU/NLG and text mining Skills/knowledge of advanced ML techniques with image processing and signal processing is a plus GenAI and multimodal GenAI skills with RAG development and fine tuning Sounds statistical training in linear and non-linear regression, weighted regression, clustering, and classification techniques Sound understanding of applied statistical methods including survival analysis, categorical data analysis, time series analysis and multivariate statistics Introduction to classical statistical including concepts in Bayesian statistics, experimental design and inference theory Practical understanding of concepts in computer vision, data mining, machine learning, information retrieval, pattern recognition and knowledge discovery Additional knowledge in WFM, biological learning systems and modern statistical concepts is a plus Knowledge of IoT devices and solutions with multi-sensor data fusion is a plus Knowledge of Geostatistics, information theory, computational statistics is a plus Experience in character recognition with image, speech, and video analytics capabilities is a plus Working knowledge of or certifications in AWS/Azure/GCP is beneficial

10+yrs in software developmnt,3+ with GenAI or NLP Python (FastAPI, asyncio)strong with Hugging Face, OpenAI APIs, LangChain vector databases (e.g.Pinecone, Weaviate) & MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively

What you will do As a Specialist IS Bus Sys Analyst, you will join a collaborative team implementing and supporting the next generation of safety platforms and supporting technologies. In this role, you will be responsible for reporting and analytics solutions to help drive strategic business outcome. This role focuses on delivering data-driven solutions, automating processes, and addresses the ongoing issues and improving adverse event management cycle-time from source to target systems. Work with partners to identify and prioritize system enhancements and new functionalities to meet evolving business needs Lead the day-to-day operations and maintenance of Pharmacovigilance systems (safety database) Find opportunities for automation and process improvements within the Safety ecosystem Overall accountability of technical implementation aspects of projects including planning, architecture, design, development, and testing to follow IS Change Control and GxP validation process Responsible for authoring validation with approved architectural and development guidelines Identify data patterns to support informed decision making Perform hands-on programming (SQL/Scripting) and participates in code reviews Work closely with the delivery and platform teams to ensure that the applications are aligned with approved architectural and development guidelines Keeps updated on industry trends, emerging trends and standard processes for pharmacovigilance systems Responsible for integrating safety data in the data lake for reporting solutions Leads and contributes to business case development, workshops, and RFPs Maintain knowledge of market trends and developments in web application development frameworks and related and new technologies to provide, recommend, and deliver standard methodology solutions Responsible for supporting and leading technical root cause analysis and works with vendors to resolve Pharmacovigilance systems related issues Responsible for improving performance by coaching, mentorship, and training to develop both technical and professional skills within the team Support audits and inspections What we expect of you Masters degree with 4 - 6 years of experience in Computer Science, IT or related field (OR) Bachelors degree with 6 - 8 years of experience in Computer Science, IT or related field (OR) Diploma with 10 - 12 years of experience in Computer Science, IT or related field Must Have Skills: 5 years of experience in health and/or life sciences and Information Technology as a Business Analyst supporting Saas Applications Working experience in cloud services such as AWS Experienced in data analysis and reporting using analytics tools such as Tableau, Power BI Knowledgeable of new technologies for Machine Learning and Natural Language Processing (NLP) and Natural Generation Language (NLG) Experienced in Agile project methodologies and working in Product Teams by using JIRA Experience or demonstrable understanding of Computer Systems Validation including FDA 21 CFR Part 11, GxP Compliance, and change control Experienced in writing advanced SQL skills set preferred (e.g. Oracle) Strong communications skills in writing, speaking, communicating and time management skills Has high learning agility, problem solving and analytical thinking Good to Have Skills: Experience with API integrations such as MuleSoft & Databricks Solid understanding of using one or more general programming languages, including but not limited to: Java or Python Outstanding written and verbal communication skills, and ability to explain technical concepts to non-technical clients Sharp learning agility, problem solving and analytical thinking Extensive expertise in SDLC, including requirements, design, testing, data analysis, change control Certification: SAFe for Teams certification (preferred) Soft Skills: Excellent analytical and troubleshooting skills Excellent leadership and strategic thinking abilities Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Ability to deal with ambiguity and think on their feet Ability to influence and drive to an intended outcome Ability to hold team members accountable to commitments Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

In this vital role you will join a collaborative team implementing and supporting the Integrated case management systems on existing & future technologies. In this role, you will wear multiple hats including requirement gathering, implementation and analyze and resolve issues with case intake and data transfer across integrated systems. Collaborating closely with various teams, you will develop insights and implement solutions to improve system performance, ensuring reliable and efficient processing of data. Roles & Responsibilities: Develop and maintain design & development activities and deploy applications to support GxP system Work closely with internal teams, external vendors, and business partners to address dependencies and resolve bottlenecks for critical issues Collaborate with cross-functional teamsincluding product management, development, QA, and business analyststo gather and align stakeholder requirements Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team Provide hands-on technical guidance to development teams across the software development lifecycle (SDLC) Maintain knowledge of trends in application development frameworks and related new technologies to provide, recommend, and deliver standard methodology solutions What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a with these qualifications. Basic Qualifications: Doctorate degree OR Masters degree and 4 to 6 years of Computer Science, IT or related field experience OR Bachelors degree and 6 to 8 years of Computer Science, IT or related field experience OR Diploma and 10 to 12 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills Must-Have: Experience with business analysis, writing user requirements and acceptance criteria in agile project management systems such as JIRA Collaborate with architects and senior developers to define application and infrastructure strategy Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements. Knowledge of SDLC process, including requirements, design, testing, data analysis, change control Ability to mentor, guide, and review work of junior developers and team members Good to Have: Experience in HP ALM, JIRA, ServiceNow Suite and document management systems (e.g. Veeva) Excellent problem-solving skills. Collaborative spirit and effective communication skills to seamlessly work in a cross-functional team. Experienced in managing GxP systems and implementing GxP projects Ability to explain technical concepts to non-technical clients Experience using and adoption of Scaled Agile Framework (SAFe). Soft Skills: Excellent leadership and team management skills. Strong transformation and change management experience. Exceptional collaboration and communication skills. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented with a focus on achieving team goals. Strong presentation and public speaking skills. Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams.

Senior Manager Software Development Engineering Safety ART Tech Enablement Team What you will do In this vital role you will become an influential strategic IT partner within the Global Patient Safety (GPS) organization. This role is accountable for end-to-end service delivery leading and manage a team of engineers supporting multiple product teams for the Safety IT technology and its integrations. As we stride towards the future, this role will be pivotal in advancing the next generation of Safety platforms and supporting technologies. As Sr. Manager, you will lead a team delivering innovative solutions and shared technology services to support the Global Patient Safety (GPS) organization. This role combines technical leadership and strategic guidance to advance safety platforms, integrate innovative technologies, and drive efficiency and innovation across systems. Roles & Responsibilities: Oversee the delivery of shared services across the safety product teams, ensuring high-quality solutions and alignment with organizational goals. Acts as a liaison between team and product teams, ensuring technical solutions align with project requirements and timelines for the Global Patient Safety organization Provide guidance on the design, development, and deployment of technical solutions Ensures adherence to best practices in software engineering, including code quality platform scalability, and system reliability Stay updated on new technologies and trends to recommend innovative solutions. Take a leadership role in the management of the technical enablement team and contract workers (CWs) by educating, motivating, and guiding in delivery and maintenance of this service delivery to enrich business area strategy Champion innovation to elevate Amgen's Safety systems, empowering the business to improve its processes, efficiency, and effectiveness. This involves integrating cognitive capabilities to thoughtfully automate traditional, manual processes. Promote the adoption of global technology capabilities and standards to address complex business challenges. Lead strategic and operational activities, including securing funding, managing RFP processes, assessing solution options, forecasting, resource and demand planning, vendor coordination, and overseeing run and build operations across product teams. Oversee, mentors and lead a dedicated team comprised of engineers. Improve procedures associated with Maintenance and Support. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree with 8 to 10 years of Computer Science, IT or related field experience OR Bachelors degree with 10 - 14 years in Computer Science, IT or related field experience OR Diploma and 14 to 18 years of computer science and engineering preferred, other Engineering field experience will be considered Preferred Qualifications: Proven experience 5+ years in the IT Industry with work experience in Analysis, Design, Development, Testing and Maintenance of software applications in a SaaS environment or in a Health & Life Sciences industry. 5+ years of experience in a technical or engineering leadership role Experience of working on and leading major programs/projects that involve multiple partners and external vendors and leading end-to-end from initiation to project closure Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements Strong communications skills in writing, speaking, making pitches to various audiences in a clear and concise manner Experience in database programming and knowledge of concepts in SQL (e.g. Oracle or Postgres) Experienced with cloud computing technologies (e.g. AWS, Azure) and integration technologies (e.g. Mulesoft, databricks). Experience in DevOps, and Scaled Agile Framework (SAFe), especially in regulated setting including ability to lead the transformation of teams from a service based to a product-based model Experience with Quality Control and Quality Assurance processes and systems Demonstrable experience in group facilitation ability to guide teams to make decisions and achieve results within agreed parameters & timescales Strong background in conflict resolution and fostering teamwork between technical teams and customers In-depth experience in all aspects of SDLC from requirements, design, testing, data analysis and Change Control process combined with experience developing project charters, statement of work and project financials Experienced in leading vendor relationships, contract negotiations, and ensuring alignment with long-term technology solutions An ongoing commitment to learning and staying at the forefront of AI/ML advancements. Good-to-Have Skills: Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific data strategy, data governance, data infrastructure Experience with stakeholder management, leading a team of 20, ensuring seamless coordination across teams and driving the successful delivery of technical projects Familiarity with data analytics and visualization platforms such as Databricks, Spotfire, Tableau, Power BI, and Cognos, combined with strong programming skills in languages like SQL and Python for data processing and analysis. Experience creating impactful slide decks and presenting data Ability to drive projects/company initiatives using Agile methodology We understand that to successfully sustain and grow as a global enterprise and deliver for patients we must ensure a diverse and inclusive work environment. Extensive experience in managing and delivering technology solutions in a GxP environment Knowledge of drug safety databases and tools such as Argus or ArisG, including an understanding of adverse event reporting requirements. Professional Certifications: SAFe for Teams certification (preferred) Advanced certifications in cloud technologies (e.g. AWS Solutions Architect) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global teams High degree of initiative and self-motivation Ability to lead multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills in translating technical insights into impactful narratives for senior executives Ability to deal with ambiguity and think on their feet Ability to influence and drive to an intended outcome Ability to hold team members accountable to commitments Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.

DO NOT APPLY WITHOUT UNDERSTANDING THE ENTIRE JOB DESCRIPTION We are Hiring a Senior Data Scientist for a Leading Fortune 500 Manufacturing Brand Location: Mumbai Experience: Minimum 8 years in Data Science - AI/ML Education: M.E / M.Tech in Computer Science/ IT/ Data Science/ with persuasion of PhD Job Description: - Sr. Data Scientist will be required to build hypothesis, research, prototype, design, develop, and help implement enterprise level ML/ AI/Gen AI models for projects to transform and improve companys business results and competitive position & ensure alignment to the overall digital, data & AI strategy and current and future business objectives. Contribution to Data & AI Platform and Products Work within Digital Data AI Team in development of data science & AI capabilities and features to support delivery on defined objectives around platform aspects Design, implement, and evolve robust, secure and quality solutions that operate for the business ecosystem. Research, design & development of High-Quality Data, AI and analytical systems Define exploratory data analysis (EDA) keeping in line with problem necessities Ensure the development of quality procedures and standards products and supervising tests. Work on various data correction problems such as data cleansing, sourcing and integrating from multiple platforms to make the good data available for data analysis , data science & AI development Provide and help deliver the Solutions Hands on contribution to provide solutions and POCs , working in cross- functional or agile teams to develop and deliver significant aspects of the models and systems. Lead and mentor junior data scientists and ensure availability of necessary data and analysis as needed by business requirement and use cases. Conduct diagnostic across existing data and make future state recommendations in regular intervals. Collaborate with Business Analyst, Data scientists, Data Engineers and Data Analysts to ensure understanding and alignment between business needs and technical implementation. Monitor performance of existing solutions across use cases to identify and drive optimization. Oversee and Research, develop and analyse NLP, Gen AI , computer vision algorithms in Various use cases. Ensure model robustness, model generalization, accuracy, testability, and efficiency. Write product or system development code. Contributing via understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc Responsible for deploying AI/ML models (ML Ops) in standalone and cloud based systems and services. Support Projects and Initiatives Help in Collaboration with business unit heads and corporate functions to identify and assist in providing data analysis support across different projects Identify data from legacy systems, to build new solutions based on requirement Provide necessary technical support in new and ongoing digital initiatives to ensure seamless data solutioning. Requisite Experience Essential Minimum 10 Yrs with of experience in data analytics & data science, building, and maintaining various ML models. Good know how of emerging small and larger models 3 to 5 + years of experience in each of the Data Science specialization like NLP, Demand Forecasting, ML Ops Should be able to present portfolio of data science work or use cases Preferred Sound understanding of Data analysis to support the preparatory work Experience working in the agile Environment. Know how/ Familiarity in all aspects of MLOps (source control, continuous integration, deployments, etc.) Experience/ Exposure with Cloud data services like AWS or Azure Special Skills Required Functional: Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc. Strong hands-on coding skills in Python, processing large-scale data set and developing machine learning models. Experience programming in Python, R, and SQL Expertise in developing ML models and deployment of the same Hands on working on developing NLP models using transformers and computer vision. Know-how of deploying AI/ML models (ML Ops) in standalone and cloud-based systems and services. Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD SQL Server experience required Understanding of, dimensional data modelling, structured query language (SQL) skills, data warehouse and reporting techniques Data Governance & Ethics Leadership: Strong analytical skills, ability to ask right questions, analyse data and draw conclusion by making appropriate assumptions, to solve and model complex business requirements Ability to lead team of junior data scientists, get into the details of the problem and ability to code the solution hands on as and when needed Planning & Organizing Present complex data analysis in consumable way and Engage the stakeholders Ability to collaborate with different teams and clearly communicate solutions to both technical and non-technical team members Team player

Must Have Skills Good Programming Knowledge - Python, C++ Design: OOAD Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras, Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in Machine Learning (ML) Deep Learning (DL) Model Tuning, Optimization & Verification Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Good to have: Regression problem solving AI related certification - NLP / Vision / Audio / IOT Concepts of GPU based model training Open source NLP toolchain Hands on experience in NLP, NLU, NLG tasks Preferred candidate profile Total Exp - 2 to 5 Years Notice Period - Immediate Location -Bangalore Candidate should be ok to work from office.

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 10-25 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking a highly skilled Generative AI Engineer with a strong foundation in data science and a passion for building cutting-edge AI solutions. The ideal candidate will have 10-15 years of overall experience, including at least 3 years of hands-on work in Generative AI and Large Language Models (LLMs). You will play a key role in developing and deploying advanced AI models to drive innovation and impact across our platform. Responsibilities: Design and develop advanced generative models/large language models Collaborate with other teams to integrate AI solutions into our marketing platform Manage the project lifecycle from research and development to deployment and optimization. Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects. Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy. Qualifications and Education: 4 years experience in GenAI and LLM with overall 10-15 years of experience building advanced analytics products. Strong proficiency in Python and AI frameworks. Experience in conceptualizing, developing, and leading large-scale, end-to-end projects in Generative AI, MLOps, and LLMOps Working knowledge of generative models (GANs, VAEs) and NLP. Solid understanding of machine learning algorithms and data pre-processing techniques. Knowledge of cloud computing and AI deployment (Google Cloud preferred) Excellent problem-solving, analytical, and creative thinking skills Bachelors degree in computer science or engineering discipline Experience with MySQL and/or PostgreSQL databases. Strong inter-personal communication and collaboration skills. The candidate must be able to work independently & must possess strong communication skills. A good team player, high level of personal commitment & 'can do' attitude. Demonstrable ownership, commitment and willingness to learn new technologies and frameworks Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Roles & Responsibilities: AI/ML Development: 1. Model Development and Training: - Design, develop, and train machine learning models and algorithms to solve specific business problems. - Implement various machine learning techniques including supervised, unsupervised, and reinforcement learning. 2. Data Preprocessing and Analysis: - Perform data cleaning, transformation, and preprocessing to prepare data for model training. - Analyze and interpret complex data sets to identify patterns and trends. - NLP, nltk and NER are preferred. 3. Model Evaluation and Optimization: - Evaluate model performance using appropriate metrics and fine-tune models to improve accuracy and efficiency. - Implement model optimization techniques such as hyperparameter tuning and feature engineering. 4. Deployment and Maintenance: - Deploy machine learning models into production environments ensuring scalability and reliability. - Monitor and maintain models to ensure they continue to perform well over time. Python Development: Software Development: - Write clean, maintainable, and efficient Python code. - Develop and maintain Python-based applications, APIs(Flask and Fast API preferred) , and microservices. Code Review and Mentorship: - Conduct code reviews to ensure adherence to best practices and coding standards. - Mentor junior developers and provide guidance on best practices and development techniques. Integration and Testing: - Integrate machine learning models with existing systems and applications. - Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Automation and Scripting: - Automate repetitive tasks and workflows using Python scripts. - Develop and maintain automation tools and frameworks. Collaboration and Communication: - Collaborate with data scientists, data engineers, product managers, and other stakeholders to understand requirements and deliver solutions. - Participate in design and architecture discussions to shape the direction of projects. Documentation and Reporting: - Document code, processes, and methodologies to ensure knowledge sharing and maintainability. - Communicate findings, progress, and results to stakeholders through reports and presentations. Continuous Learning and Improvement: 1. Stay Updated with Industry Trends: - Keep up-to-date with the latest developments in AI/ML and Python technologies. - Experiment with new tools, libraries, and frameworks to improve existing solutions and processes. Problem Solving and Innovation: 1. Innovative Solutions: - Identify opportunities to apply AI/ML techniques to solve new and existing problems. - Propose and implement innovative solutions to improve business processes and outcomes. 2. Technical Challenges: - Tackle complex technical challenges and provide effective solutions. - Troubleshoot and resolve issues related to machine learning models and Python applications. Mandatory Skills: Strong proficiency in Python and its libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). NLP, nltk and NER hand on knowledge is required. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of software development principles, design patterns, and best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and as part of a team. Continuous learning mindset and adaptability to new technologies.

About the Role: Grade Level (for internal use): 09 The Team: As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What Were Looking For: 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs

Role & responsibilities Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Primary skillset: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch Experience: Minimum 8-12 years of experience in AI/ML/Data Science Proven track record of successfully delivering AI/ML/Data Science projects

Employment Type:C2H 5+ years of experience in developing AI and Machine learning workloads, especially in the field of Natural Language Processing (NLP) Experience in building Generative AI solutions, virtual assistants and chatbots using Azure Open AI or any similar LLM s (eg: GPT 4.0) Experience in designing and building high-performant AI agents and virtual chatbots using MS Copilot Studio. Expertise in Python programming for Data science workloads Expertise in automation and production deployment of NLP and GenAI models using PowerApps. Excellent communication, interpersonal skills, and motivation to work in high performance and rewarding work environments

Skill Set : AI,Machine Learning,NLP,Gen AI Job Description: Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals.

8-12 years' experience in a statistical and/or data science role. Proven experience as a Data Scientist or similar role. Strong organizational and leadership skills. Degree in Computer Science, Data Science, Mathematics, or similar field. Deep knowledge of machine learning, statistics, optimization or related field. Experience in Linear and non-Linear Regression models including Multiple and Multivariate. Experience in Classification models including Ensemble techniques. Experience in Unsupervised models including K-Means, DBSCAN, LOF. Rich Experience in NLP techniques. Experience in Deep Learning techniques like CNN, RNN, etc. Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory. Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.). Excellent written and verbal communication skills along with strong desire to work in cross functional teams. Attitude to thrive in a fun, fast-paced start-up like environment. Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional: programming in C, C++, Java, .Net.

Description - External Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of AIML Engineer! In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers. Responsibilities • Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products • Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services • Build and implement machine learning models and prototype solutions for proof-of-concept • Scale existing ML models into production on a variety of cloud platforms • Analyze and resolve architectural problems, working closely with engineering, data science and operations teams Qualifications we seek in you! Minimum Qualifications / Skills • Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field • Master’s degree is a plus • Integration – APIs, micro-services and ETL/ELT patterns • DevOps (Good to have) – Ansible, Jenkins, ELK • Containerization – Docker, Kubernetes etc • Orchestration – Airflow, Step Functions, Ctrl M etc • Languages and scripting: Python, Scala Java etc • Cloud Services - AWS, GCP, Azure and Cloud Native • Analytics and ML tooling – Sagemaker, ML Studio • Execution Paradigm – low latency/Streaming, batch Preferred Qualifications/ Skills • Data platforms – Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.) • Visualization Tools - PowerBI, Tableau Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Position Summary This is a highly visible role that requires a perfect combination of deep technical credibility, strategic acumen and demonstrable leadership competency. You will be the ultimate Trusted Advisor, capable of engaging business and technology leaders within the worlds largest enterprises, and guiding their strategic AI-enabled journey. The Country Leader, AI Architecture, is responsible for leading the Labs Architectural services within the region. You will need to provide hands-on technical leadership, whilst managing a small team of senior AI architects and consultants. Operating in a fast-moving, highly innovative environment, collaborating with senior Sales and Technical leaders. You will have business responsibility for the provision of innovation-led Labs services. focusing on the design and implementation of advanced AI solutions enabling genuine transformational outcomes. This hands-on leadership role demands deep understanding of AI and related technologies, running in Edge, onprem and Public Cloud environments. Acting at the forefront of our industry you will be fully conversant with Generative AI, and its impact at both the individual employee and strategic organisational level. The ideal candidate will be an established thought-leader in the AI domain, with solid architectural and engineering credentials that you maintain at the highest level. Working ahead of industry trends, deeply passionate about AI-enabled business transformation and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO level clients, industry leaders, provide expert opinions, and contribute to HCLs strategic vision. Key Responsibilities Technical & Engineering Leadership Act as ultimate Design Authority for sophisticated AI solutions and related technology architecture. Lead high-level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments. Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains. Contribute to HCLTech thought leadership in the AI & Cloud domains with a deep understanding of open-source (e.g., Kubernetes, OPEA) and partner technologies. Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell. Service Delivery & Innovation Design innovative AI solutions from ideation to MVP, rapidly enabling genuine business value. Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and effectiveness. Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies. Drive the adoption of cutting-edge GenAI technologies spearheading initiatives that push the boundaries of AI capability across the full spectrum of environments. Thought Leadership and Client Engagement Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape. Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust-based relationships. Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on-time delivery. Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and associated technologies. Collaboration and Customer Engagement Engage with multiple customers simultaneously, building high-impact consultative relationships. Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects. Maintain hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization. Management and Leadership Demonstrable track record building and managing small Architectural or Engineering teams. Support career growth and professional development of the team. Enrich and enable world-class technical excellence across the team; supported by a culture of collaboration, respect, diversity, inclusion and deep trustful relationships. Mandatory Skills & Experience Management & leadership : Demonstrable track record building and leading Architectural or Engineering teams. Proven ability to combine strategic business and commercial skills, performing at the highest-level in senior client relationships. Experience: 10+ years architecture design 10+ years software engineering. 5+ years in a senior Team Leader or similar management position. Significant client-facing engagement within a GSI, system integrator, professional services or technology organization. Technologies: Professional-level expertise in Public Cloud environments (AWS, Azure, Google Cloud). Demonstrable coding proficiency with Python, Java or Go languages. AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. Working familiarity with Copilot solutions, in both software engineering and office productivity domains. Business Expertise: Extensive track record performing a lead technical role in a sales, business-development or other commercial environment. Negotiating and consultative skills; experience leading the complete engagement lifecycle. Communication: Experienced public speaker, with an ability to connect with senior business leaders. Project Methodologies: Agile and Scrum project management. Desired Skills & Experience Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments. Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation. Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks. Copilot design, engineering and extensions. Knowledgeable about Responsible AI, including governance and ethics. Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions. Deep Learning Frameworks (TensorFlow, PyTorch) Innovation and Emerging Technology Trends Strategic AI Vision and Road mapping Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about HCLs dynamic and high-energy Lab culture. Verifiable Certification Recognized Professional certification from Google, Microsoft or AWS in an AI and/or Cloudrelated domain. Soft Skills and Behavioural Competencies Exemplary communication and leadership skills, capable of inspiring teams and making strategic decisions that align with business goals. Demonstrates a strong customer orientation, innovative problem-solving abilities, and effective cross-cultural collaboration. Expert at driving organizational change and fostering a culture of innovation.

We are looking for experienced Senior and Principal Machine Learning Engineers across two teams: InstructLab and OpenShift AI . In this role, you will build, optimize, and scale machine learning models while contributing to innovative AI-driven solutions, and assisting users in understanding ML predictions. During the hiring process, we'll work with you to determine the best team placement based on your background and interests. While the core job requirements remain consistent, your day-to-day responsibilities will align with your chosen team's objectives. Successful applicants must reside in a country where Red Hat is registered to do business. What you will do Specific responsibilities will vary based on team placement, but may include: Design and implement machine learning systems Develop and optimize ML models for production use Create and maintain ML infrastructure and pipelines Ensure ML systems are scalable and maintainable Collaborate with data scientists to productionize models Collaborate closely with researchers, software developers, and upstream AI/ML communities Mentor and guide other team members What you will bring Experience in AI development, deep learning, machine learning libraries (e.g. pytorch, scikit-learn), prompt engineering, and/or fundamental mathematics Experience in feature engineering Experience in Go or Python development Experience in Kubernetes, OpenShift, Docker, or other cloud-native technologies Experience in agile development, Jira, and Git Ability to quickly learn and use new tools and technologies Excellent written and verbal communication skills The following skills are valued and may influence team placement: Masters or PhD in Machine Learning (ML) or Natural Language Processing (NLP) Active participation in KServe, TrustyAI, Kubeflow, or other open source communities Specialized expertise in specific AI domains (NLP, Computer Vision, MLOps, etc.)

Key Responsibilities As the Lead Data Scientist, your role will require you to work closely with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors. Your machine learning projects will span the entire healthcare revenue cycle - from clinical encounters through financial transaction completion, extending into back-office operations and payer interactions. You will lead the development of predictive machine learning models for Revenue Cycle Management analytics, along the lines of: Payer Propensity Modeling - predicting payer behavior and reimbursement likelihood Claim Denials Prediction - identifying high-risk claims before submission Payment Amount Prediction - forecasting expected reimbursement amounts Cash Flow Forecasting - predicting revenue timing and patterns Patient-Related Models - enhancing patient financial experience and outcomes Claim Processing Time Prediction - optimizing workflow and resource allocation Additionally, we will work on emerging areas and integration opportunitiesfor example, denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. You will reimagine how providers, patients, and payors interact within the healthcare ecosystem through intelligent automation and predictive insights, ensuring that providers can focus on delivering the highest quality patient care. VHT Technical Environment Cloud Platform : AWS (SageMaker, S3, Redshift, EC2) Development Tools : Jupyter Notebooks, Git, Docker Programming : Python, SQL, R (optional) ML/AI Stack : Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow Data Processing : Spark, Pandas, NumPy Visualization : Matplotlib, Seaborn, Plotly, Tableau Required Qualifications You should be someone who thrives on solving complex problems and has a natural attraction to ill-defined challenges that seem intractable, transforming them into elegant data science solutions. You find yourself comfortable in the middle of what seems to be chaos, knowing you can discover patterns and create order through data. You want to create a meaningful impact by solving complex healthcare problems through your passion for data science and machine learning. Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field 5+ years of hands-on data science experience with a proven track record of deploying ML models to production Expert-level proficiency in SQL and Python , with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques Experience with model deployment, monitoring, and MLOps practices Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications US Healthcare industry experience , particularly in Health Insurance and/or Medical Revenue Cycle Management Experience with healthcare data standards (HL7, FHIR, X12 EDI) Knowledge of healthcare regulations (HIPAA, compliance requirements) Experience with deep learning frameworks (TensorFlow, PyTorch) Familiarity with real-time streaming data processing Previous leadership or mentoring experience Reach me via mail Sathishkumar.b@veehealthtek.com or +91-9003727017. Kindly take step forward on helping to refer your friends who are seeking for this opportunity.