633 Gen Ai Jobs - Page 26

Job Description: Core Skills 3+ years of hands-on experience in AI development, with a strong focus on Traditional AI , Generative AI , and Agent-based AI . Strong proficiency in Python , along with experience using AI libraries and frameworks like TensorFlow , PyTorch , Keras , Hugging Face , and others. Experience with Natural Language Processing (NLP) , Reinforcement Learning (RL) , Computer Vision , and Deep Learning . Solid understanding of AI algorithms , model training , data preprocessing , and evaluation metrics . Experience in working with cloud platforms such as AWS, Azure, or Google Cloud for deploying and scaling AI systems. Familiarity with Generative AI models (like GPT, DALL•E, etc.) and Agent-based systems (autonomous agents, bots, recommendation engines, etc.). Preferred Skills Experience with Generative AI technologies and creative AI solutions for content generation, such as text, images, or videos. Knowledge of AI ethics , bias mitigation , and explainability techniques in AI systems. Hands-on experience in Reinforcement Learning or Multi-Agent Systems . Understanding of DevOps principles and CI/CD pipelines for AI systems deployment. Experience with Data Engineering and working with large datasets. Soft Skills Strong problem-solving and analytical skills. Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to lead a team, mentor junior developers, and foster collaboration across departments. Passionate about AI technology and continuous learning.

Key Responsibilities Implement and testing GenAI-powered features within our product ecosystem Support senior team members in integrating large language models (LLMs) and other generative technologies into applications Write clean, maintainable code following team standards and best practices Participate in code reviews to improve code quality and broaden technical knowledge Help with data preparation and testing processes Document technical implementations and contribute to internal knowledge bases Learn and apply GenAI concepts including prompt engineering and retrieval-augmented generation Required Qualifications 5+ years of product engineering experience. Strong programming foundations in Python Good understanding of Generative AI concepts Familiarity with REST APIs and modern web development practices Willingness to learn cloud computing platforms (AWS, GCP, or Azure) Curiosity about Agentic AI technologies and their applications Strong problem-solving skills and attention to detail Excellent communication skills and ability to work in a collaborative team environment Preferred Qualifications Familiarity with frameworks such as PyTorch or TensorFlow Understanding of basic AI/ML, NLP concepts Experience with version control systems (e.g., ADO, Git) Previous internship or project work involving AI technologies Knowledge of containerization basics (e.g., Docker) Contributions to open-source projects Familiarity with Agile methodologies Technical SkillsCore Technologies Python Springboot Azure Cloud Serverless architectures Generative AI Frameworks REST/SOAP APIs Nice to Have AWS Cloud GCP Cloud Docker/Kubernetes CI/CD Pipelines

Hello, Greetings from GlobalData!!! Walkin interviews for Data Science on 10th May - Saturday @ GD Office -Hyderabad. Data Science Senior Data Science Office Address :- GlobalData Office, 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad GD office link : https://goo.gl/maps/S4jJZ5xPQKVTUh7XA Interview Timings : (9:30am till 1:00pm) Job Criteria :- Qualification: B.Tech/BE/MCA/M.Tech/B.Sc/M.Sc-(Computers) Experience Range : 2 to 5 years Key Skills : Python, SQL, Gen AI, LLM Notice Period : Immediate joiners or with one month notice period Job Location : Hyderabad Work Mode : Hybrid Salary : best as per market standard's Detailed job description given below please go through to understand requirement. If requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :-Applying for Data Science walkin drive(10th May) @ GD-Hyd. Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Present Location : If selected willing to move to Hyd : Yes/No Job Description: Data Scientist Location: Hyderabad, India Experience: 2+ years About the Role :- We are looking for a Data Scientist with at least 2 years of experience to join our Hyderabad team. The ideal candidate is skilled in Python and SQL, with a strong analytical mindset. Experience with Generative AI (GenAI) or Large Language Models (LLMs) is a plus. Responsibilities Analyze large datasets and extract actionable insights. Build and deploy machine learning models. Write efficient SQL queries for data extraction and analysis. Collaborate with cross-functional teams to deliver data-driven solutions. Present findings to technical and non-technical stakeholders. Requirements Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or related field. 2+ years of experience in Data Science or a similar role. Strong Python and SQL skills. Solid understanding of statistics, machine learning, and data visualization. Excellent problem-solving and communication skills. Preferred Experience with GenAI or LLMs. Familiarity with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). Job Description: Senior Data Scientist Location: Hyderabad, India Experience: 5+ years About the Role :- We are seeking a Senior Data Scientist with at least 5 years of experience to join our Hyderabad team. The ideal candidate has strong expertise in Python and SQL, hands-on experience with Generative AI (GenAI) or Large Language Models (LLMs), and a proven ability to manage multiple projects. You will lead data science initiatives, ensure timely project delivery, and mentor junior team members. Responsibilities Lead and deliver multiple data science projects on schedule. Design, develop, and deploy advanced machine learning and GenAI/LLM solutions. Guide and mentor junior data scientists, providing technical direction and support. Collaborate with cross-functional teams to define project goals and deliverables. Communicate complex findings clearly to stakeholders at all levels. Requirements Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or related field. 5+ years of experience in Data Science or a similar role. Strong proficiency in Python and SQL. Hands-on experience with GenAI or LLMs. Proven project management and team leadership skills. Deep understanding of statistics, machine learning, and data visualization. Excellent problem-solving, communication, and organizational skills. Preferred Experience with handling data formats like structured (SQL), semi-structured (Elasticsearch) and unstructured (PDF, Images in S3) Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). Thanks & Regards, Salim (Human Resources)

Job Title: Director, Analytics Experience: 10+ Yrs Job Location: Remote, India Company Overview: At Ensemble Health Partners, we're at the forefront of innovation, leveraging cutting-edge technology to drive meaningful impact in the Revenue Cycle Management landscape. Our commitment to excellence is unwavering, and we're seeking a seasoned Principal Azure Cloud Architect to join our dynamic team. As a leading player in the industry, we offer an environment that fosters growth, creativity, and collaboration, where your expertise will be valued and your contributions will make a difference. Position Overview: The AI solutions architect is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modeling. The successful candidate will work closely with business owners to understand their data requirements and product specifications to help them make data-related decisions and product design choices. The role will also require close work with data scientists, software engineers and developers to deliver solutions. Another crucial part will be defining the strategic priorities for AI and GenAI development across the company and educating both technical and business teams about the latest developments in AI. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills. You should have expertise in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands-on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases. Roles & Responsibilities Design, develop, and oversee the implementation of end-to-end AI solutions, including LLM-based and general machine learning use cases. Define AI solution objectives and ensure alignment with business outcomes Develop and ensure Interoperability between client systems, internal teams and other third-party vendors. Educate team members and bring both technical staff and business stakeholders up to speed with recent AI trends. Present key findings, recommend enhancements, and work with business owners to enhance product development. Evaluate predictive models as well as LLM-based technologies at scale. Act as primary respondent to questions regarding AI and Machine Learning applications. Build, enhance and maintain the data models, interfaces and application integration required to support growing and changing business needs. Collaborate with internal and external clients to respond to growing needs of the business, troubleshoot issues, and expand capabilities of the product. Meaningfully contribute to the strategic direction of AI initiatives within the company Required Skills Overall 12+ Years out of which 5+ years' experience leading a data science/machine learning team with clear deployment experience. PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems. 5+ years experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents. Proven ability to research and execute solutions based on novel algorithms and machine learning tooling. Ability to design, implement, test and deploy Machine Learning models. Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus. Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus. Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used. Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools. Proven ability to read research papers, critique and execute based on them. Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary. Ability to work both independently and in a team-based, fast-paced environment. Excellent communication skills, both written and verbal. Why Join US? We adapt emerging technologies to practical uses to deliver concrete solutions that bring maximum impact to providers bottom line. We currently have 10 Technology Patents in our name. We offer you a great organization to work for, where you will get to do best work of your career and grow with the team that is shaping the future of Revenue Cycle Management. We have our strong focus on Learning and development. We have the best Industry standard professional development policies to support the learning goals of our associates. We have flexible/ remote working/ working from home options Perks Health Benefits and Insurance Coverage for family and parents. Accidental Insurance for the associate. Compliant with all Labor Laws- Maternity benefits, Paternity Leaves. Company Swags- Welcome Packages, Work Anniversary Kits Exclusive Referral Policy Professional Development Program and Reimbursements. Remote work flexibility to work from home. Join Our Team: If you're passionate about cloud technology and eager to make a meaningful impact in a dynamic and collaborative environment, we want to hear from you! Join us at Ensemble Health Partners and be part of a team that's shaping the future of Revenue Cycle Management. Apply now and embark on a rewarding journey of innovation and growth.

Role & responsibilities Data Science Exp Exp in Machine Learning - 3 - 4 projects Excellent in Python Coding Exp in Time series forecasting Mandate Gen AI - 6 month exp mandate Only Bangalore based candidates to reply as this will be F2F Interview. Preferred candidate profile

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

Python/Data Science/ML/AI JOB DESCRIPTION Role: Data Scientist Experience: 6 - 9Years Location: Mumbai, Pune, Bangalore, Hyderabad, Chennai Employment Type: Full-time Notice period - immediate joiner Key Responsibilities: Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. Technically Data scientists to produce project deliverables on time and with high quality. Identify and address client needs in different domains, by analysing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. Enhance data collection procedures to include information that is relevant for building analytical systems and ensure data quality and accuracy. Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. Strong programming skills in Python. Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good, applied statistics skills, such as distributions, statistical inference & testing, etc Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python. Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. Experience with common data science frameworks such as TensorFlow, Keras, PyTorch, XGBoost,etc. Exposure or knowledge in cloud (Azure/AWS). Experience on deployment of model in production

Role & responsibilities Java SpringBoot + Automation architect 10-14 yrs of IT experience - Worked on Java / J2EE architecture & design - especially on Springboot, microservices, Cloud Exposure to Automation / GenAI as well Needs exposure to automation either RPA or script based (Python, etc). Good-to-have: Know-how / exposure to GenAI in their own areas of work would . Worked on DevOps CI/CD tooling Good at learning new concepts & doing POCs/pilots, ready to learn and experiment on cutting-edge technology Good at logical & lateral thinking Good at communication & presentation skills Preferred candidate profile 10+ Years exp in Java ava / J2EE architecture & design, Springboot, Microservices, Cloud and experience in Gen AI/Python/RPA