880 Nlp Jobs - Page 36

Hello Everyone, Optum is hiring AI ML Data Scientists at Hyderabad Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Python, NLP, LLMs, APIs Experience: 7 - 11 yrs Notice Period: Immediate to 45 days Location: Hyderabad Primary Responsibilities: Lead the technology as a senior member of the software engineer team, as part of an Agile scrum team assigned to work on the project Designs, codes, tests, debug, and documents software, and enhance existing components to ensure that software meets business needs Contribute to the design and architecture to enable secure, scalable, and maintainable software and should be able to clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership Provide hands-on leadership, coaching, mentoring, and software engineering best practices to junior software engineers Develop reusable patterns and encourage innovation that will enable team velocity Collaborate on the design with other team members and product owners, both inside and outside the scrum team Estimate engineering work effort for engineering team and effectively identify and prioritize the high impact tasks Conduct design and code reviews to ensure code developed meets coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines Drive a quality mindset within the team Required Qualifications: Graduate degree or equivalent experience 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks 3+ years of experience applying NLP (transformers, GPT, etc.) in a production setting using large amounts of data 2+ years of experience applying LLMs (RAG, vector DB, embeddings) to solve real world problems Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses Experience building APIs for the models Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid analytical, quantitative, problem-solving, and critical thinking skills Interested can share their updated CV at mohammad_ayub@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum mohammad_ayub@optum.com

Minimum Education Required Minimum Experience Required Should have acquired ? Bachelors Degree in Technology /Engineering or Masters in Computer Applications (MCA) or Master of Science in Computer Science from a reputed institute. Masters in Technology/Engineering preferable. Following are the skill set required for team lead -Emerging technologies. Technical Skills: Programming skills: Proficient in Python with libraries like TensorFlow, PyTorch, Scikit-learn. Understanding of Machine learning algorithms and neural networks. Working with computer vision models and large language models (NLP). Data Engineering: Knowledge of data cleaning, pre-processing, feature engineering, and data pipelines. Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models. Leadership Skills , Problem solving & learning skills: Good communication and listening skills. Team building, defining project goals, prioritizing tasks, guiding team members, sharing knowledge and best practices. Identifying potential issues in AI models, evaluating data quality, and troubleshooting technical challenges. Keeping pace with rapid advancements in the AI field, actively researching new techniques and tools.

Key Responsibilities : Design, develop, and deploy machine learning models and AI solutions that address complex business challenges, particularly within the AEC domain. Build scalable, production-grade AI/ML pipelines, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. Ensure that deployed models are reliable, maintainable, and scalable while optimizing their performance in production environments. Develop APIs or microservices for integrating AI/ML models into business solutions. Optimize AI/ML workflows by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Maintain adherence to data privacy, security, and ethical AI standards throughout the lifecycle of AI/ML models. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Performs other duties as required Skills and Abilities: Strong expertise in building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks. Proficiency in programming languages such as Python or R, with a strong understanding of libraries and tools for data science and machine learning. Experience with MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management. Familiarity with distributed computing frameworks like Apache Spark and scalable AI/ML training techniques. Expertise in domain-specific AI techniques such as Natural Language Processing (NLP), computer vision, and predictive analytics. Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Excellent interpersonal and presentation skills to build strategic relationships with colleagues, stakeholders, and partners. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and nontechnical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications: Bachelors degree. 6 years of related experience. Equivalent additional related experience will be considered in lieu of a degree.

Data Scienctist (MRF00718) - J48913 ROLE: Data Scientist Data Scientist who would be involved in analyzing large data set, identifying patterns, design prompt to extract relevant entities using Generative AI technologies. Location: Anywhere in India Work from Home following below conditions are MANDATORY: If Offered, candidate must visit office Company`s Bangalore Development Center to collect laptop on his/her own. Visit Bangalore Company`s Development Center for work from office for 5 days in every 6 months but company will not reimburse for stay and travel expenses. Education: BE/B.Tech/MCA/M.Sc/MCM/M.Tech/Phd Requirement details: Self-Motivated, Dynamic & result oriented Professional Specialization in Data Science Experience in AI projects, including familiarity with AI and machine learning frameworks (PyTorch, LLMs, NLP, Computer Vision, GenAI). Strong understanding of deep learning concepts and their applications in NLP and Computer vision. Proficiency in Supervised Algorithms. Expertise in Model evaluation and metrics. Working knowledge of generative AI and hands on experience of LLM frameworks. Excellent Programming (Python) skills Excellent Data pre-processing and data cleaning skills. Working knowledge on Fine-tuning and transfer learning Expertise in Cloud computing platforms (AWS, Azure). Expertise in Data visualization. Good to have patents or research papers in ML/AI. Having good Statistics and AI experience will be a plus. Quick learner who exhibits resiliency and tenacity in the face of challenge. Ability to interact with diverse group within and outside of the organization. Agile management tools knowledge - DevOps/JIRA/TFS etc. Required Candidate profile Candidate Experience Should Be : 4 To 8 Candidate Degree Should Be : BE-Comp/IT,BE-Other,BTech-Comp/IT,BTech-Other,MCA,MCM,MCom,MCS,ME-Comp/IT,ME-Other,MIS,MIT,MMS,MSc-Comp/IT,MS-Comp/IT,MSc-Other,MS-Other,MTech-Comp/IT

Exp - 6- 10 Years Level - Senior Consultant Skill - ML OPS with Gen AI Location - Bengaluru Event on 9th May in Bangalore location Hybrid Mode (2 days WFO in a week) Education - B.Tech/B.E/MS/MBA ML OPs Engineer Required: 6-10 years of Consulting, Data, and Analytics experience Experience in descriptive & predictive analytics, both theoretical and practical knowledge in basic ML algorithms like linear and non-linear regression, linear and non-linear classification, dimensional reduction, anomaly detection, statistical concepts and techniques like theoretical distributions, parametric and non-parametric inference 6+ years of experience implementing & executing data science projects throughout the entire lifecycle: Developing/designing and implementing solutions E2E in production. Strong knowledge of Python or R Programming experience with Node.js, SQL, Java, JavaScript OR PERL Experience in cloud-based data platforms on AWS, GCP and Azure Understanding of multi-tier application architectures Ability to develop, test and maintain programming environments and architectural standards Foundational understanding of application development lifecycle and using tools like ANT, Maven, Gradle and Version control (SVN OR GIT OR BitBucket) Experience with working in an agile development lifecycle and continuous integration processes using tools such as Jenkins Experience in doing deployments for Java, .NET , Angular , Node.js , PHP, Python applications using Jenkins/Bamboo Experience on code quality assessment tools and integration with CI tool Strong logical structuring and problem-solving skills Strong verbal, written and presentation skills Preferred Additional Experience in using Spark either with Scala or Python Experience with different database types like RDS and NoSQL Experience in cloud deployments Knowledge of working in a Linux environment Strong understanding and experience configuring, managing and supporting applications using tools such as OpsWorks, Datadog and CloudWatch on AWS Experience in Docker /Swarm / Kubernetes Experience or exposure to Test Driven Development Experience (Junit / TestNG) Experience on Behavior Driven Development Experience (Cucumber / Selenium) Expertise in any commercial data visualization tool such as Tableau, Qlik, Power BI Experience with real time data movement solutions that use security and encryption protocols while data is in transit