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business analytics analyst Jobs in Mangaluru

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data scientist-artificial intelligence Jobs in Mangaluru

data scientist-artificial intelligence

data scientist artificial intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology
 
 
 
 Your Role And Responsibilities
 
 
 
 An AI Data Scientist at IBM is not just a job title &ndash; it&rsquo;s a mindset. You&rsquo;ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
 
 
 We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
 
 
 Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
 
 
 
 Day-to-Day Duties
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
 </li>
 <li>
 Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)
 </li>
 <li>
 Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
 </li>
 <li>
 Experience in python and pyspark will be added advantage
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
 </li>
 <li>
 Strong track record in scientific publications or open-source communities
 </li>
 <li>
 Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Work with broader team to build, analyze and improve the AI solutions.
 </li>
 <li>
 You will also work with our software developers in consuming different enterprise applications.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
 </li>
 <li>
 Proficient in Python with focus on Data Analytics Packages.
 </li>
 <li>
 Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
 </li>
 <li>
 Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
 </li>
 <li>
 Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience with conversation analytics. Experience with cloud technologies
 </li>
 <li>
 Experience with data exploration tools such as Tableu
 </li>
 </ul>
</div>

Ericsson

<div>
 
 Join our Team
 
 
 
 
 About this opportunity:
 
 
 
 Welcome to an exciting opportunity at Ericsson, where you'll be stepping into the role of a Data Scientist. As part of our team, you'll have the opportunity to develop unique machine learning solutions that address complex business issues. You'll employ scientific methods, processes, and systems to reveal valuable insights and pave the way for the future of applied analytics. Direct your prowess in machine learning towards formulating innovative AI/ML solutions that are consistent with Ericsson's architectural and coding standards.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Implement technical requirements by analyzing and optimizing their needs while managing any constraints effectively.
 </li>
 <li>
 Build predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems.
 </li>
 <li>
 Proficiency in machine learning concepts and programming languages such as Python, Pyspark, SQL, amongst others.
 </li>
 <li>
 Develop solutions using on-premise and cloud-based machine learning.
 </li>
 <li>
 Collaborate with business leaders and decision-making personnel to define success metrics and originate ML solutions that fit the bill.
 </li>
 <li>
 Mentor emerging data scientists and foster a community of machine learning enthusiasts within Ericsson.
 
 
 </li>
 </ul>
 
 The skills you bring:
 
 
 
 <ul>
 <li>
 DevSecOps.
 </li>
 <li>
 Business Understanding.
 </li>
 <li>
 Artificial Intelligence Systems.
 </li>
 <li>
 Software Engineering.
 </li>
 <li>
 Data Management.
 </li>
 <li>
 Ericsson Business Intelligence and Analytics Competence.
 </li>
 <li>
 Open-Source Programming Languages.
 </li>
 <li>
 Data Preprocessing.
 </li>
 <li>
 Statistics.
 </li>
 <li>
 Cloud Development.
 </li>
 <li>
 Machine Learning Algorithms.
 
 
 </li>
 </ul>
 
 Why join Ericsson?
 
 
 
 At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
 
 
 What happens once you apply?
 
 
 
 Click Here to find all you need to know about what our typical hiring process looks like.
 
 
 Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
 
 
 
 Primary country and city:
 
 India (IN) || Bangalore
 
 
 
 Req ID:
 
 769882
</div>

Data Scientist

Gallagher

<div>
 
 Introduction
 
 
 
 We believe that every candidate brings something special to the table, including you! So, even if you feel that you&rsquo;re close but not an exact match, we encourage you to apply. We&rsquo;d be thrilled to receive applications from exceptional individuals like yourself.
 
 
 Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers.
 
 
 
 Overview
 
 
 
 We are seeking a data scientist to join our Data Analytics team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python). Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products&rsquo; and services&rsquo; efficiency and usability. Should be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights. Maintain good relationship with stakeholders. Should be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and transform data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques.
 
 
 
 How You'll Make An Impact
 
 
 
 <ul>
 <li>
 Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
 </li>
 <li>
 Artificial Intelligence &amp; Machine learning Techniques: Expert level knowledge on AI / ML techniques. Implement algorithms and statistical models to enable a computer to automatically learn from data.
 </li>
 <li>
 Strong knowledge of Python &amp; R, MS Azure ML Studio, AWS, or Google Cloud.
 </li>
 <li>
 Knowledge of data science toolkits such as R, NumPy, and MatLab.
 </li>
 <li>
 Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering.
 </li>
 <li>
 Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Python, Java, R, and SQL.
 </li>
 <li>
 Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
 </li>
 <li>
 Analytical thinking. Find analytical solutions to abstract business issues.
 </li>
 <li>
 Business intuition: Connect with stakeholders to gain a full understanding of the problems they&rsquo;re looking to solve.
 </li>
 <li>
 Interpersonal skills: Communicate across a diverse audience across all levels of an organization.
 </li>
 <li>
 Critical thinking: Apply objective analysis of facts before coming to a conclusion.
 </li>
 <li>
 Inquisitiveness: Look beyond what&rsquo;s on the surface to discover patterns and solutions within the data.
 </li>
 <li>
 Perform data mining, exploration, and analysis.
 </li>
 <li>
 Ability to store and process unstructured data with NoSQL databases and machine learning models
 </li>
 <li>
 Design, train, and implement machine learning algorithms.
 </li>
 <li>
 Strong attention to detail and accuracy of output.
 </li>
 <li>
 Advanced knowledge of SQL and Excel.
 </li>
 <li>
 Strong Data Visualization skills preferably MS PowerBI.
 </li>
 <li>
 Keeping up to date with the latest tools and trends.
 </li>
 <li>
 Excellent verbal and written Communication skills
 </li>
 <li>
 Leverage predictive models to optimize customer experiences.
 </li>
 <li>
 Creating automated anomaly detection.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Technical Bachelor&rsquo;s Degree. Preferably in statistics, computer science, mathematics, or engineering.
 </li>
 <li>
 3+ year of relevant experience.
 </li>
 <li>
 Strong domain knowledge.
 </li>
 <li>
 Should be ready work in shifts.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 We value inclusion and diversity
 
 
 
 Inclusion and diversity (I&amp;D) is a core part of our business, and it&rsquo;s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.
 
 
 Gallagher embraces our employees&rsquo; diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.
 
 
 Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as &ldquo;protected characteristics&rdquo;) by applicable federal, state, or local laws.
 
 
 Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.
</div>

Oracle

<div>
 
 Job Description
 
 
 
 At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.
 
 
 In the OCI AI Science org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. As a Data Scientist IV, you will lead the development of large-scale datasets and leverage machine learning and generative AI to advance Generative AI models. You will drive the design of benchmarking frameworks, define best practices for data quality and fairness, and partner with scientists, engineers, and product leaders to shape the org&rsquo;s data strategy.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the design, development, and scaling of large, high-quality datasets to advance generative AI models in multimodal domains (e.g., text, vision, speech).
 </li>
 <li>
 Define data standards and best practices for acquisition, cleaning, augmentation, annotation, and evaluation to ensure fairness, diversity, and representativeness.
 </li>
 <li>
 Guide the integration of cutting-edge techniques (e.g., fine-tuning, RLHF, domain adaptation) into data generation and model alignment pipelines.
 </li>
 <li>
 Provide technical leadership in building scalable, reliable data pipelines and synthetic data platforms for production environments.
 </li>
 <li>
 Evaluate and operationalize research innovations, shaping how data preparation and generative AI methods transition into production-ready solutions.
 </li>
 <li>
 Partner with research, engineering, and product leaders to define long-term data strategy and accelerate the adoption of generative AI solutions at scale.
 </li>
 <li>
 Mentor and provide thought leadership to scientists and engineers, fostering a culture of data excellence and innovation
 
 
 
 </li>
 </ul>
 
 Qualifications and Skills:
 
 
 
 <ul>
 <li>
 Bachelors or Master&rsquo;s in Computer Science, Data Science, AI/ML, or related field with 6+ years of industry experience.
 </li>
 <li>
 Proficiency in Python and solid foundation in applied ML methods.
 </li>
 <li>
 Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production.
 </li>
 <li>
 Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation.
 </li>
 <li>
 Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.
 </li>
 <li>
 Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with Multimodal models a bonus.
 </li>
 <li>
 Familiarity with advanced techniques (e.g., RLHF, domain adaptation, data augmentation) and their application in generative AI workflows.
 </li>
 <li>
 Proven track record of delivering scalable, data-centric ML solutions.
 </li>
 <li>
 Excellent communication and leadership skills, with experience mentoring junior scientists/engineers and presenting technical strategies to senior stakeholders.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Career Level - IC4
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Data Scientist 4

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 </li>
 <li>
 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
 </li>
 <li>
 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
 </li>
 <li>
 Experience in Artificial Intelligence, Software Engineering, Machine Learning, Data Analysis.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures or algorithms.
 </li>
 <li>
 Experience developing accessible technologies.
 </li>
 <li>
 Experience with Large Language Models.
 
 
 </li>
 </ul>
 
 About the job
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 </li>
 <li>
 Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer, AI/ML, AI Innovation and Research

SuperAGI

<div>
 
 
 About SuperAGI:
 
 
 
 SuperAGI is pioneering the future of Artificial General Intelligence with groundbreaking research and innovative AI products. Our mission is to transform the future of applications through intelligent, autonomous solutions that drive unparalleled efficiency and growth. We are building a world where AI and human intelligence collaborate seamlessly to achieve extraordinary outcomes. If you are passionate about AI and eager to be part of a team that is shaping the future, SuperAGI is the place for you.
 
 
 
 
 
 
 About the role:
 
 
 
 As a Senior Business Analyst, you will play a critical role in bridging the gap between business needs and technology solutions. You will work closely with stakeholders across departments&mdash;including Product, Operations, IT, and Management&mdash;to understand their challenges, gather detailed requirements, and recommend data-driven solutions that improve processes, enhance user experiences, and support strategic goals.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Define and drive business growth experiments within the organization and report the success around them.
 </li>
 <li>
 Analyse current business processes and gaps and define &amp; execute revised processes according to business requirements.
 </li>
 <li>
 Collaborate with internal teams to identify, define, gather, and monitor key business requirements &amp; metrics.
 </li>
 <li>
 Engage with internal stakeholders to present key metrics, share highlights, gather requirements, and ensure their expectations are met.
 </li>
 <li>
 Partner with and influence stakeholders to make informed, data-driven decisions.
 </li>
 <li>
 Collaborate and coordinate with stakeholders, cross-functional teams to gather requirements, drive requirement discussions with the business independently.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Experience: 2 to 6 years of experience in B2B SaaS Company.
 </li>
 <li>
 Technical Skills: Proficiency in Excel , workable knowledge in SQL.
 </li>
 <li>
 Analytical Skills: Strong problem-solving abilities ,attention to detail, data oriented.
 </li>
 <li>
 Communication Skills: Excellent written and verbal communication skills.
 </li>
 <li>
 Strong Bias for action, Ability to connect and drive work across the teams, High business acumen.
 </li>
 </ul>
</div>

Senior Business Analyst

Explore 660+ Data scientist artificial intelligence in Mangaluru this October. Find roles across top companies and apply now to boost your career.

660 data scientist artificial intelligence jobs IN Mangaluru

Data Scientist-Artificial Intelligence

Data Scientist-Artificial Intelligence

Data Scientist

Data Scientist

Data Scientist 4

Software Engineer, AI/ML, AI Innovation and Research

Senior Business Analyst