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ai/ml scientist

applied scientist - ai/ml

artificial intelligence engineer Jobs in Pune

artificial intelligence engineer

associate engineer

applied scientist ai ml

CDK Global

<div>
 
 About Us
 
 
 
 CDK Global is a leading provider of cloud-based software to dealerships and Original Equipment Manufacturers (&ldquo;OEMs&rdquo;) across automotive and related industries. The Company&rsquo;s cloud-based, software as a service (&ldquo;SaaS&rdquo;) platform enables dealerships to manage their end-to-end business operations including the acquisition, sale, financing, insuring, repair, and maintenance of vehicles. By automating and streamlining critical workflows, the integrated platform of modern solutions enables dealers to sell and service more vehicles by creating simple and convenient experiences for customers and improves their financial and operational performance. Visit www.cdkglobal.com
 
 
 At CDK Global, we are focused on connections that allow us to deliver world-class software, support, and data insights. Our values define who we are and how we show up for each other, our customers, and our communities. Our values: Stay Curious, Own It, Be Open, Create Possibilities.
 
 
 
 About The Role
 
 
 
 CDK Global is transforming the automotive retail experience through cutting-edge AI innovations. We are looking for an exceptional
 
 Applied Scientist
 
 to join our Applied AI Engineering team and help build intelligent, scalable, and impactful solutions for dealerships, OEMs, and consumers.
 
 
 As an Applied Scientist, you will work on end-to-end development of machine learning and GenAI use-cases&mdash;ranging from recommendation engines and forecasting models to classification systems and generative AI applications. You will be part of a cross-functional team driving real-world business outcomes using advanced AI/ML and data science.
 
 
 
 Why CDK?
 
 
 
 <ul>
 <li>
 Be a part of redefining automotive retail using next-gen AI
 </li>
 <li>
 Collaborate with a diverse, global, and innovative team
 </li>
 <li>
 Opportunity to experiment with frontier AI techniques including Generative AI and RAG
 </li>
 <li>
 Competitive compensation, benefits, and a growth-oriented culture
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, build, and deploy ML models for recommendation systems, service forecasting, classification problems, and Gen AI-powered applications
 </li>
 <li>
 Own the full lifecycle of AI/ML projects&mdash;from data exploration and feature engineering to model training, evaluation, and deployment
 </li>
 <li>
 Collaborate with product managers, data engineers, MLOps teams, and architects to create production-ready solutions
 </li>
 <li>
 Leverage LLMs (Large Language Models) and Retrieval-Augmented Generation (RAG) for intelligent customer experiences and automation
 </li>
 <li>
 Ensure high model performance, interpretability, and scalability across diverse datasets and use-cases
 </li>
 <li>
 Contribute to building reusable AI/ML components and pipelines to accelerate development velocity
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Computer Science, Machine Learning, Data Science, Statistics, or a related technical field
 </li>
 <li>
 3+ years of experience in building machine learning models for real-world business applications
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Experience with key ML techniques including regression, classification, collaborative filtering, and deep learning
 </li>
 <li>
 Familiarity with model deployment tools (e.g., FastAPI, Docker, AWS/GCP/Azure ML services)
 </li>
 <li>
 Solid understanding of data structures, algorithms, and software engineering principles
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proven experience in recommendation engines, time-series forecasting, and NLP/GenAI (e.g., OpenAI, LangChain, Transformers)
 </li>
 <li>
 Experience with deploying models in production environments and maintaining MLOps workflows
 </li>
 <li>
 Strong problem-solving skills with the ability to translate business objectives into technical solutions
 </li>
 <li>
 Demonstrated thought leadership via patents, publications, or internal innovations
 </li>
 <li>
 Comfortable working in fast-paced, ambiguous environments where autonomy and self-direction are key
 
 
 </li>
 </ul>
 At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities. We are open, curious and encourage different views, so that everyone can be their best selves and make an impact.
 
 
 CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law.
 
 
 Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.
</div>

Applied Scientist - AI/ML

Red Hat

<div>
 The Business Intelligent division of GSS (Global Support Services) team is seeking a Senior Data Scientist to join us in Pune, India. The GSS team is Red Hat's customer-facing support organization. The GSS team provides high quality technical support to Red Hat customers across the globe on all Red Hat products. In order to identify improvement opportunities across the CEE (Customer Experience &amp; Engagement) business lines that includes GSS, the Business Intelligence team of Data Scientists analyse the customer and associate data. As part of the Business Intelligence group we are required to drive initiatives and programs, as well as lead the data science apprenticeship program. In this role, you are required to design, develop and maintain the Business Intelligence related projects.
 
 
 The Senior Data Scientist exercises good judgment, working with minimal instruction to serve as a technical leader who drives data-driven decision making and shapes analytical approaches across projects. This role is responsible for resolving moderately complex data issues and managing data science and Machine Learning (ML) models that impact the organization&rsquo;s operational goals.
 
 
 
 Note:
 
 This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Apply statistical and machine learning techniques to develop innovative solutions to moderately complex problems.
 </li>
 <li>
 Lead cross-functional collaborations with engineers and data stakeholders to define measurement strategies and improve systems and processes.
 </li>
 <li>
 Conduct advanced data analysis and present insights to influence decision-making.
 </li>
 <li>
 Automate routine data processes to improve workflow efficiency.
 </li>
 <li>
 Mentor team members and apprentices
 </li>
 <li>
 Collaborate with leadership on strategy
 </li>
 <li>
 Identify new opportunities that generates a Business Value
 </li>
 <li>
 Follow processes and operational policies in selecting methods and techniques for obtaining solutions
 </li>
 <li>
 Interface with sales, services, engineering, product management, and support management when necessary in order to identify business intelligence opportunities
 </li>
 <li>
 Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
 </li>
 <li>
 Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
 
 
 </li>
 </ul>
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Data Pipelines: Creation and management of processes for transferring, transforming, and storing data.
 </li>
 <li>
 Statistical Analysis: Expert-level analysis using statistical methods.
 </li>
 <li>
 Advanced proficiency in Python, machine learning, and deep learning frameworks (e.g., TensorFlow, PyTorch)
 </li>
 <li>
 Machine Learning: Expertise in designing and implementing sophisticated machine learning algorithms.
 </li>
 <li>
 Automation: Streamlining data-related tasks through automation tools.
 </li>
 <li>
 Technical Leadership: Providing guidance on complex projects.
 </li>
 <li>
 Causal inference methods
 </li>
 <li>
 Experimental design expertise
 </li>
 <li>
 Works cross-functionally with business and engineering teams to deliver solutions that generate Business Value.
 </li>
 <li>
 Strong communication skills to explain complex technical topics to non-technical stakeholders.
 </li>
 <li>
 Degree or education in AI, machine learning, or a related field.
 </li>
 <li>
 Previous experience in customer support or chatbot development.
 </li>
 <li>
 Certifications in AI technologies and familiarity with Red Hat technologies like Red Hat Enterprise Linux, OpenShift, etc will be a plus.
 
 
 </li>
 </ul>
 At Red Hat, our commitment to open source innovation extends beyond our products - it&rsquo;s embedded in how we work and grow. Red Hatters embrace change &ndash; especially in our fast-moving technological landscape &ndash; and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
 
 
 
 About Red Hat
 
 
 
 Red Hat is the world&rsquo;s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
 
 
 
 Inclusion at Red Hat
 
 
 
 Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
 
 
 
 Equal Opportunity Policy (EEO)
 
 
 
 Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
 
 
 Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
 
 
 Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
 
 
</div>

Senior Data Scientist

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are looking for a Principal Solutions Consultant (AI/GenAI) with 15+ years of experience to lead the design and delivery of advanced AI solutions across BFSI and Healthcare domains. The ideal candidate will bring deep expertise in Generative AI, cloud-native architectures, and MLOps, while also playing a key role in client engagement, technical evangelism, and business development.
 
 
 
 
 <ul>
 <li>
 
 Role: Principal Solutions Consultant (AI/GenAI)
 
 </li>
 <li>
 
 Job Location: Pune
 
 </li>
 <li>
 
 Experience: 15 Years of Experience
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 
 
 Solution Design &amp; Implementation:
 
 
 
 
 
 <ul>
 <li>
 Design and develop AI-powered solutions tailored to the industry, leveraging LLMs, predictive analytics and automation. Come up with architecture that support large-scale model deployment, automation of ML workflows, and real-time data processing using cloud-native technologies (AWS, Azure, GCP).
 </li>
 <li>
 Spearhead the development and implementation of Generative AI solutions for diverse applications such as text to query, search and summarization, chatbot, autonomous agents.
 </li>
 <li>
 Ensure responsible AI deployment with a focus on ethics, bias reduction, and compliance.
 </li>
 <li>
 Leverage AI to extract actionable insights from consumer behavior, market trends, and operational data.
 </li>
 <li>
 Enable AI-powered customer experiences, including chatbots, recommendation engines, and predictive analytics.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership:
 
 
 
 
 
 <ul>
 <li>
 Act as a technical authority, providing deep insights and guidance to the team while demonstrating advanced knowledge of our solutions and industry trends.
 </li>
 <li>
 Develop and execute the technical pre-sales strategy, aligning it with broader business objectives and contributing to revenue growth.
 </li>
 <li>
 Participate in early-stage conversations with critical clients, understanding their needs and contributing to solution development, ensuring alignment with client requirements.
 </li>
 <li>
 Collaborate with internal teams to design and create innovative, scalable AI solutions aligned with clients&rsquo; requirements, leveraging in-depth technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Evangelism &amp; Enablement:
 
 
 
 
 
 <ul>
 <li>
 Keeping abreast with latest developments in the industry and competitors&rsquo; offerings; evaluating and recommending new and emerging AI/GenAI architectures/patterns, technologies, and standards.
 </li>
 <li>
 Serve as a technical advisor to clients, educating them on the benefits of our solutions; guiding them on best practices in architecture, platform selection, and the end-to-end deployment of ML/AI solutions.
 </li>
 <li>
 Develop and deliver workshops, webinars, and technical presentations.
 </li>
 <li>
 Create white papers, case studies and reusable artifacts to showcase our company&rsquo;s AI/GenAI value proposition.
 </li>
 </ul>
 
 
 
 
 
 Business Development Support:
 
 
 
 
 
 <ul>
 <li>
 Create/own different point-of-view documents for industries and practice areas, case studies, white papers, and other sales collaterals, and assist sales in pitch evangelism.
 </li>
 <li>
 Assist and collaborate with sales and pre-sales teams to provide technical guidance, deliver compelling presentations and lead the creation of comprehensive proposals, RFP responses, and technical documentation, ensuring client alignment and adherence to industry best practices.
 </li>
 <li>
 Present capabilities and proposals to clients to support the sales cycle. Articulate the technical aspects of our solutions, addressing client queries with clarity and confidence.
 </li>
 <li>
 Identify upsell and cross-sell opportunities within existing accounts by showcasing AI/ GenAI potential for extended use cases.
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 15+ years in Data Science, AI, and ML, with a strong focus on production-scale environments and AI/ML platform development with recent experience in Generative AI technologies.
 </li>
 <li>
 Strong analytical skills with proficiency in the application of statistical analysis and machine learning algorithms like Linear Regression, Logistic Regression, Random Forest, Boosting Trees, SVM, ARIMAX, LSTM, Deep Learning etc.
 </li>
 <li>
 Strong experience in AI/ML frameworks (TensorFlow, PyTorch, Keras), MLOps practices, and automation tools for continuous model deployment and monitoring.
 </li>
 <li>
 Programming proficiency in Python, R, and experience with containerization technologies (Docker, Kubernetes).
 </li>
 <li>
 Experience solving high business value problems using AI for BFSI/Pharma/HLS.
 </li>
 <li>
 Exceptional communication and presentation skills, capable of explaining technical concepts to non-technical stakeholders.
 </li>
 <li>
 Strong interpersonal skills to foster collaboration with diverse teams.
 </li>
 <li>
 A self-starter with a growth mindset and the ability to adapt in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Principal Solutions Consultant (AI/GenAI)

Apexon

<div>
 
 
 About the Company:
 
 Apexon is a digital-first technology services firm specialising in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies &ndash; in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences &ndash; to help businesses capitalise on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients&rsquo; toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centres) across four continents. We enable #HumanFirstDigital
 
 
 
 
 
 
 About the Role:
 
 We are seeking a skilled AI/ML Engineer with expertise in agentic AI workflows and LLM-powered applications. The ideal candidate will design, build, and optimise AI-driven solutions for the healthcare and life sciences domain, ensuring accuracy, scalability, and compliance.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design and implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.
 </li>
 <li>
 Build and integrate LLM-powered agents using AWS Bedrock and open-source frameworks (LangChain, AutoGen, LlamaIndex).
 </li>
 <li>
 Develop event-driven data pipelines leveraging AWS Lambda, Step Functions, and EventBridge.
 </li>
 <li>
 Apply prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication techniques to enhance workflow performance.
 </li>
 <li>
 Integrate AI agents securely with external systems via APIs.
 </li>
 <li>
 Collaborate with data engineers to design PHI/PII-safe ingestion pipelines, ensuring regulatory compliance.
 </li>
 <li>
 Monitor, test, and fine-tune AI workflows for accuracy, latency, scalability, and compliance.
 </li>
 <li>
 Work cross-functionally with product and domain experts to deliver regulatory-compliant healthcare/Life Sciences AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (Master&rsquo;s preferred).
 </li>
 <li>
 3&ndash;6 years of experience in AI/ML engineering with proven hands-on expertise in LLM/agentic AI development.
 </li>
 <li>
 Strong programming skills in Python and/or TypeScript.
 </li>
 <li>
 Practical experience with frameworks such as LangChain, LlamaIndex, and AutoGen.
 </li>
 <li>
 Familiarity with AWS AI/ML services: Bedrock, SageMaker, Textract, Comprehend Medical.
 </li>
 <li>
 Proficiency in API integration and event-driven architectures.
 </li>
 <li>
 Experience in healthcare/life sciences AI solutions with an understanding of regulatory and compliance standards (HIPAA, GDPR, etc.) preferred.
 </li>
 <li>
 Strong problem-solving mindset with the ability to experiment, iterate, and optimise rapidly.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Expertise in agentic AI workflows.
 </li>
 <li>
 Experience with LLM-powered applications.
 </li>
 <li>
 Strong programming skills in Python and/or TypeScript.
 </li>
 <li>
 Familiarity with AWS AI/ML services.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience in healthcare/life sciences AI solutions.
 </li>
 <li>
 Understanding of regulatory and compliance standards.
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Statement:
 
 Did you know that Apexon has been Certified&trade; by Great Place To Work&reg;, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK. Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, colour, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy.
 
 
 
 
 
 
 Our Commitment to Environment:
 
 Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.
 
 
 
 
 
 
 Our Perks and Benefits:
 
 Our benefits and rewards program has been thoughtfully designed to recognise your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.
 
 <ul>
 <li>
 Group Health Insurance covering a family of 4
 </li>
 <li>
 Term Insurance and Accident Insurance
 </li>
 <li>
 Paid Holidays &amp; Earned Leaves
 </li>
 <li>
 Paid Parental Leave
 </li>
 <li>
 Learning &amp; Career Development
 </li>
 <li>
 Employee Wellness
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

A.P. Moller - Maersk

<div>
 
 Key responsibilities:
 
 
 
 <ul>
 <li>
 Collaborate with business, platform and technology stakeholders to understand the scope of projects.
 </li>
 <li>
 Perform comprehensive exploratory data analysis at various levels of granularity of data to derive inferences for further solutioning/experimentation/evaluation.
 </li>
 <li>
 Design, develop and deploy robust enterprise AI solutions using Generative AI, NLP, machine learning, etc.
 </li>
 <li>
 Continuously focus on providing business value while ensuring technical sustainability.
 </li>
 <li>
 Promote and drive adoption of cutting-edge data science and AI practices within the team.
 </li>
 <li>
 Continuously stay up to date on relevant technologies and use this knowledge to push the team forward.
 
 
 </li>
 </ul>
 
 We are looking for:
 
 
 
 <ul>
 <li>
 A team player having 4-7 years of experience in the field of data science and AI.
 </li>
 <li>
 Proficiency with programming/querying languages like python, SQL, pyspark along with Azure cloud platform tools like databricks, ADF, synapse, web app, etc.
 </li>
 <li>
 An individual with strong work experience in areas of text analytics, NLP and Generative AI.
 </li>
 <li>
 A person with a scientific and analytical thinking mindset comfortable with brainstorming and ideation. A doer with deep interest in driving business outcomes through AI/ML.
 </li>
 <li>
 A candidate with bachelor&rsquo;s or master&rsquo;s degree in engineering, computer science with/withput a specialization within the field of AI/ML.
 </li>
 <li>
 A candidate with strong business acumen and desire to collaborate with business teams and help them by solving business problems.
 </li>
 <li>
 Prior understanding in business domain of shipping and logistics is an advantage.
 
 
 </li>
 </ul>
 Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
 
 
 We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
</div>

AI/ML Scientist

Infosys Consulting

<div>
 
 Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. You should have between 2 to 10 years of Data Science experience.
 
 
 
 
 
 Successful candidates will be part of a specialized customer-facing AI Labs team in our rapidly expanding Automation &amp; Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.
 
 
 
 
 
 You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge.
 
 
 
 
 
 Infosys Consulting offers exceptional opportunity for personal growth, and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
 </li>
 <li>
 Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
 </li>
 <li>
 You will be confronted with a large variety of Data Science tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
 </li>
 <li>
 Design and develop world-class technology solutions to solve business problems across multiple client engagements.
 </li>
 <li>
 Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
 </li>
 <li>
 Work closely with AI and A global team and with our Fortune 500 clients to build world-class solutions and to define AI strategy.
 </li>
 <li>
 You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
 </li>
 <li>
 Strong verbal, written and presentation skills
 </li>
 <li>
 As a Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools.
 </li>
 <li>
 You will be working on high impact initiatives with other Data Scientists across the globe
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's or master&rsquo;s degree/PhD in Statistics, computer science, information technology, or a similar field.
 </li>
 <li>
 Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.
 </li>
 <li>
 Expert level experience in Python or R.
 </li>
 <li>
 Strong experience in machine learning algorithms like
 </li>
 </ul>
 
 o Linear/Logistic regression,
 
 
 o Random Forest,
 
 
 o SVM,
 
 
 o Neural Networks,
 
 
 o Deep Learning &ndash; CNN, RNN, LSTM
 
 <ul>
 <li>
 Exposure to NLP and Computer vision use cases.
 </li>
 <li>
 In-depth knowledge of neural networks and architectures
 </li>
 <li>
 Familiarity with the latest DL architectures.
 </li>
 <li>
 Toolkits/Frameworks/Libraries - Pytorch, TF/Keras, Scikit-Learn, BERT
 </li>
 <li>
 Experience in Machine Learning Lifecycle &ndash; Data Processing, Algorithm Benchmarking, Validation
 </li>
 <li>
 Exposure to build an AI model from scratch
 </li>
 <li>
 Exposure to Graph based databases is a plus.
 </li>
 <li>
 Experience with relational databases.
 </li>
 </ul>
</div>

Data Science Consultant

InfoBeans

<div>
 
 
 About the Job:
 
 
 
 
 
 <ul>
 <li>
 
 Job Title:
 
 ServiceNow Business Analyst
 </li>
 <li>
 
 Skills :
 
 Agile/Scrum methodologies, BRDs, FRDs, process flows, user stories, and use cases
 </li>
 <li>
 
 Experience Required :
 
 5 Years +
 </li>
 <li>
 
 Location:
 
 Indore/Pune/ Chennai
 </li>
 <li>
 
 Notice Period:
 
 Immediate Joiners Preferred
 </li>
 </ul>
 
 
 
 
 
 Job Description:
 
 
 <ul>
 <li>
 Partner with business stakeholders to gather, document, and prioritize requirements for ServiceNow solutions.
 </li>
 <li>
 Analyze business processes and identify opportunities to leverage ServiceNow modules (HRSD, ITSM, ITOM) for automation and efficiency.
 </li>
 <li>
 Translate business requirements into detailed functional specifications, user stories, and acceptance criteria.
 </li>
 <li>
 Collaborate with developers, architects, and QA teams to ensure accurate solution delivery.
 </li>
 <li>
 Facilitate workshops, demos, and UAT sessions with business users.
 </li>
 <li>
 Ensure alignment of ServiceNow capabilities with organizational goals and compliance requirements.
 </li>
 <li>
 Support the design and configuration of workflows, catalog items, and reports within ServiceNow.
 </li>
 <li>
 Act as a subject matter expert (SME) for ServiceNow HRSD, ITSM, and ITOM modules.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 About InfoBeans:
 
 
 
 
 
 
 InfoBeans is a global digital transformation and product engineering company, enabling businesses to thrive through innovation, agility, and cutting-edge technology solutions. With over 1,700 team members across the globe, we specialize in
 
 custom software development, enterprise solutions, cloud, AI/ML, UX, automation, and digital transformation services
 
 .
 
 
 At InfoBeans, we live by our core purpose of
 
 &ldquo;Creating WOW!&rdquo;
 
 &mdash;for our clients, team members, and the community. Our collaborative culture, growth opportunities, and people-first approach make us one of the most trusted and rewarding workplaces.
 
 
 Link:
 
 https://infobeans.ai/
 
 
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