486 Aiml Jobs - Page 20

Job description: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the worlds largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.Offices: New York | Dallas | San Francisco | Lima | Bengaluru This role is for our Bengaluru office Roles and Responsibilities: Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Contribute to internal product development initiatives related to data science. Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject 5+ years of hands-on experience in applied Machine Learning, AI and analytics Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimal guidance Excellent written and verbal communication skills Perks and benefits Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play

Data Scientist Req number: R5301 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking Data Scientist with expertise in analytical modeling, ML methodologies, and data visualization to elevate our data-driven culture and deliver actionable insights that optimize business performance. The candidate must have proven success in coalescing, analyzing, synthesizing and contextualizing complex data sets (qualitative and quantitative) to deliver metrics, insights, advanced machine learning / AI analytics, with actionable recommendations that have a direct impact on business strategy and inform customer experience decisions. This is a Full-time and Remote position. Job Description What You’ll Do Understand current state architecture, including pain points. Translate Business/Customer Problems: Partner with the Customer Understanding Manager to translate business/customer challenges into data-driven hypotheses, insights, and recommendations that optimize marketing and sales performance. Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions. Storytelling with Data: Strong data analytics, visualization, and storytelling skills along with great attention to details. Modeling & Advanced Analytics: Develop and manage customer health programs, leveraging predictive analytics and machine learning models to assess customer engagement, churn risk, and growth potential. Quantify Impact of Marketing Initiatives: Perform deep-dive statistical analysis to quantify the impact of marketing initiatives on business KPIs, including revenue growth, retention rates, and customer lifetime value. Develop NPS Analysis: Support development of NPS (Net Promoter Score) analysis. Identify relevant data from internal and external sources to align NPS score to operational, financial, and experience metrics. Design and Maintain Automated Dashboards: Design and maintain automated dashboards and self-service analytics tools using Salesforce, Tableau, and Power BI to support real-time decision-making. Apply AI/ML methodologies: Utilize AL/ML techniques such as predictive modeling, clustering, key driver analysis, and NLP to uncover customer trends and improve engagement strategies. Promote Insight-Informed and Data-Driven Culture: Develop regular reports, executive briefs, and blogs to reveal market, industry, and customer trends, fostering an insight-informed and data-driven culture within the company. Develop Scorecards and Performance Dashboards: Lead the creation of scorecards and performance dashboards, ensuring marketing and sales teams have the insights needed to optimize decision-making. Drive Innovation in Data Strategy: Stay updated on evolving AI/ML methodologies, automation frameworks, and analytics best practices to drive innovation in data strategy. Experimental Design & Statistical Modeling (hierarchical linear models, regression analysis, hypothesis testing, significance testing). AI/ML Expertise (GenAI, NLP, tree-based models, deep learning, ModelOps/MLOps best practices, reinforcement learning). Data Engineering & Processing (structured/unstructured data manipulation, building ETL pipelines, Python libraries: pandas, scikit-learn, statsmodels, etc.). Data Storytelling & Visualization (Tableau, Power BI, Salesforce, Plotly, Adobe Analytics, etc.). Automated Analytics & Cloud Computing (AWS, GCP, Azure, Databricks, Snowflake, BigQuery). Strong time management and organizational skills with the ability to prioritize and execute projects independently. What You'll Need Bachelor’s degree in quantitative discipline: computer science, Statistics, Applied Mathematics, Economics, or a related field . 5-7 years of experience in advanced analytics, data science, or marketing intelligence , preferably in B2B or manufacturing industries. 4+ years Tableau experience. 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data. Strong expertise in SQL, Python, and statistical modeling , with experience in building scalable data pipelines . Proficiency in data visualization and self-service analytics tools (Tableau, Power BI, Salesforce Analytics, etc.). Hands-on experience with AI/ML frameworks, NLP, and MLOps best practices Proven ability to synthesize complex data sets into strategic business insights that drive measurable outcomes . Strong communication skills, with the ability to translate complex technical findings into actionable business recommendations . Expert at hypothesis generation , creating data-driven business questions and experimental design techniques. Agile project management skills with the ability to manage multiple priorities and deliver high-impact results . Passion for continuous learning, research, and innovation in data analytics and AI. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Roles and Responsibilities Academic- Classroom/ laboratory instructions, design and development of new programs, curriculum development, development of learning source materials and laboratories, students assessment and evaluation, examination work of the institute, participation in co-curricular and extra-curricular activities, students guidance and counseling and their development and continuing activities. Research, development and consultancy - Students research guidance, project proposals and follow up for funding, executing and monitoring sponsored research, technology development and industrial consultancy. Administration- Academic and administrative management of the Institute, policy planning, promotional activities at departmental, College and University levels, headship, deanship, wardenship and committee work, participation at regional and national levels, etc. Extension services- Organizing courses, participating as faculty in courses in continuing education programs for teachers and persons from industry, organization and participation in community services, promoting entrepreneurship, providing technical support to social development, etc. Work Plan: The work plan of a teacher shall ensure, in a modest productive manner, the utilization of stipulated working hours per week with regard to roles, jobs, and targets assigned to him/her by the Department/College/University. Desired Candidate Profile Ph.D. from a recognized university in Computers/Information Technology/Computer is must with M.Tech & B.Tech. Minimum 10-15 years of experience in academics or industry with expertise in relevant technologies like AI, IoT, Data Science etc. Strong publication record with minimum 3 SCI publications for Professors; minimum 2 SCI publications for Associate Professors and 1 SCI publication for Assistant Professors. Excellent communication and presentation skills for effective teaching. Note: Now you can also share your updated resume directly on recruitment@niet.co.in

Job description Roles and Responsibilities Teaching & Learning: Deliver captivating classroom instruction on subject of emerging technologies like Cyber Security, Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, and Internet of Things . Collaborate on developing and refining the curriculum as per latest emerging technologies. Research & Development: Conduct research, secure funding for projects, and contribute to the advancement of the domain knowledge. Student Mentoring and Guidance: Provide guidance and mentorship to students, fostering their academic and professional growth. Learning Resource Development: C ontribute to the creation of innovative learning materials and laboratories. Examination Work: Participation in examinations & academic work of the institute. Academic Audit: Involvement in academic audits like NAAC/NBA/IQAC Participation: Actively participate in co-curricular and extra-curricular activities, including Faculty Development Programs (FDPs). Desired Candidate Profile B.Tech & M.Tech degree in Computers/Information Technology/Computer is must & Ph.D. from a recognized university is preferred. Minimum 2-10 years of experience in academics or industry with expertise in relevant technologies like AI, IoT, Data Science etc. Strong publication record with minimum 3 SCI publications for Professors; minimum 2 SCI publications for Associate Professors and 1 SCI publication for Assistant Professors. Excellent communication and presentation skills for effective teaching. Note:- Interested candidates can also directly share their updated resume on recruitment@niet.co.in.

Job Title: Senior AI/ML Architect Location: Chennai, India Work Mode: Hybrid Job Description: We are seeking an experienced Senior AI/ML Architect to lead the design and implementation of advanced AI and Machine Learning solutions. The ideal candidate will have a strong background in AI/ML technologies, with a proven track record of delivering scalable and efficient solutions in complex environments. Key Responsibilities: Solution Design and Development: Architect and develop end-to-end AI solutions, ensuring they meet business requirements and are scalable, efficient, and maintainable. Stakeholder Collaboration: Work closely with business and IT stakeholders to understand objectives and translate them into AI/ML solutions. Implementation Oversight: Oversee the implementation of AI models and algorithms, ensuring best practices are followed throughout the development lifecycle. Research and Innovation: Stay abreast of the latest advancements in AI and Machine Learning to identify and implement innovative solutions that provide a competitive edge. Team Leadership: Lead and mentor a team of data scientists and engineers, fostering a culture of continuous learning and improvement. Qualifications: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. An MBA is a plus. Experience: 15-20 years of overall IT experience, with over 10 years in AI/ML roles. Technical Proficiency: Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Programming Skills: Proficiency in programming languages like Python and R. Cloud Platforms: Experience with cloud-based AI/ML services and platforms. Problem-Solving: Strong analytical and problem-solving skills, with the ability to translate business challenges into AI solutions. Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Leadership: Proven experience in leading and mentoring technical teams. Preferred Qualifications: Experience with Generative AI and Large Language Models (LLMs). Familiarity with MLOps practices and tools. Knowledge of data governance and ethical considerations in AI. This role offers an exciting opportunity to work on cutting-edge AI/ML projects, driving innovation and delivering impactful solutions within our organization.

Job Title: Data Scientist About Us: We as Primotech are as an IT Global Solutions company. Weve been delivering software development and IT projects from several big enterprises to small and medium-sized businesses. We blend agile methodologies with technical expertise to take business to the next level. What We Are Looking for: We are looking for a skilled and motivated Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will design and deploy intelligent systems and predictive models to solve complex business problems, drive automation, and enhance data-driven strategies. Key Responsibilities: Design, develop, and implement AI/ML models to solve business challenges and optimize processes. Analyze large and complex datasets to uncover trends, patterns, and insights. Work with cross-functional teams to define use cases, gather requirements, and deploy end-to-end solutions. Perform model training, validation, testing, and tuning using real-world data. Apply advanced techniques such as deep learning, natural language processing (NLP), and computer vision when applicable. Present findings and recommendations to stakeholders in a clear, concise manner. Monitor and maintain production models to ensure ongoing performance and accuracy. Stay up to date with emerging technologies and best practices in AI and data science. Required Qualifications: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field. Strong programming skills in Python or R, with experience using AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Proficiency in data manipulation using SQL and data analysis/visualization tools (e.g., pandas, matplotlib, seaborn, Tableau). Solid understanding of machine learning algorithms, model evaluation techniques, and AI applications. Hands-on experience with supervised and unsupervised learning, feature engineering, and model deployment. Good understanding of cloud platforms such as AWS, GCP, or Azure. Interested candidates may share their resume at shikha.rana@primotech.com

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

Radio Strategy Essential Skills Good understanding of Network Architecture, Radio Hardware/Software & Antenna System. Clear conceptual understanding of RF principles, Call flow & link budget. Good Knowledge of Radio parameters, KPIs & RAN features. Familiar with emerging radio technologies, standardization and its application. Proficient in Air interface algorithms & network tuning, Data analytical skills. Fair understanding of Radio Capacity dimensioning, forecasting, Site solutioning and TCO evaluation Ability to design and deliver new solutions from scratch Familiar with Energy efficiency / saving concepts. Advantage Skills : Advance knowledge of RAN technologies & protocols. RAN virtualization & Cloud native architecture. Proficient in LMS strategy, Coverage & capacity dimensioning Automation with AIML Models Proficient in data analysis using Python and other scripting frameworks

Looking for - 1- PYTHON+AIML 2- Java Fullstack 3- Snowflake 4- Node Js with electron Share your CV at jatin@smrd.in

We are seeking a highly skilled AI/ML Engineer to join our dynamic team to build the next gen applications for our global customers. If you are a technology enthusiast and highly passionate, we are eager to discuss with you about the potential role. Responsibilities: Implement, and deploy Machine Learning solutions to solve complex problems and deliver real business value, ie. revenue, engagement, and customer satisfaction. Collaborate with data product managers, software engineers and SMEs to identify AI/ML opportunities for improving process efficiency. Develop production-grade ML models to enhance customer experience, content recommendation, content generation, and predictive analysis. Monitor and improve model performance via data enhancement, feature engineering, experimentation and online/offline evaluation. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry. Stay up-to-date with the latest in machine learning and artificial intelligence, and influence AI/ML for the Life science industry. Requirements 2 - 4 years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Strong programming skills in Python, Rust. Experience with Pandas, NumPy, SciPy, OpenCV (for image processing) Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs. Experience with one or more Graph DBs - Neo4J, ArangoDB Experience with MLOps platforms, such as Kubeflow or MLFlow. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software product development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Excellent written and verbal communication skills and interpersonal skills. Advanced degree in Computer Science, Machine Learning or related field. Benefits We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Accenture Delivery Architectures (ADA) Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Accenture Delivery Architectures (ADA) and implementing deep learning, neural networks, chatbots, and natural language processing technologies. Roles & Responsibilities: 1 Lead architecture, design, cross business area projects and development teams for AI applications 2 Identify and explore the framework, NLP tools, VA platform, architecture, or tech stack can be used to create a solution and the connection between the components - Collaborate with cross-functional teams to ensure seamless integration of AI-based applications and systems. - Stay updated with the latest advancements in AI and machine learning technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: 1 Knowledge of applications using MEAN stack, Angular JS, Nodejs, Python 2 Understanding of UI technologies like HTML, JavaScript, jQuery 3 Hands on experience on VA tools like Microsoft Bot Framework, Google Dialog flow, RASA, Amazon Lex at least 2 4 Knowledge of: Big Data, LAMP Linux, Apache, MySQL, PHP, DevOps, PaaS a: Custom Frameworks, Spring related technologies, UML, OO Design, Spring Boot, Microservice and JEE Archtiecture b: Cloud AWS,Azure,Google c: Artificial intelligence, Machine Professional Attributes : 1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients Educational Qualification: 15years fulltime of Education - Solid grasp of machine learning algorithms and techniques. - Experience with data visualization tools such as Tableau or Power BI. Additional Information: - The candidate should have a minimum of 3 years of experience in Accenture Delivery Architectures (ADA). - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful AI-driven solutions.