ai/ml scientist

applied scientist - ai/ml

formulation scientist

research engineer

ai ml scientist

A.P. Moller - Maersk

<div>
 
 Key responsibilities:
 
 
 
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 Collaborate with business, platform and technology stakeholders to understand the scope of projects.
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 Perform comprehensive exploratory data analysis at various levels of granularity of data to derive inferences for further solutioning/experimentation/evaluation.
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 Design, develop and deploy robust enterprise AI solutions using Generative AI, NLP, machine learning, etc.
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 Continuously focus on providing business value while ensuring technical sustainability.
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 Promote and drive adoption of cutting-edge data science and AI practices within the team.
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 Continuously stay up to date on relevant technologies and use this knowledge to push the team forward.
 
 
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 We are looking for:
 
 
 
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 A team player having 4-7 years of experience in the field of data science and AI.
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 Proficiency with programming/querying languages like python, SQL, pyspark along with Azure cloud platform tools like databricks, ADF, synapse, web app, etc.
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 An individual with strong work experience in areas of text analytics, NLP and Generative AI.
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 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.
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 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.
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 A candidate with strong business acumen and desire to collaborate with business teams and help them by solving business problems.
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 Prior understanding in business domain of shipping and logistics is an advantage.
 
 
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 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

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?
 
 
 
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 Be a part of redefining automotive retail using next-gen AI
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 Collaborate with a diverse, global, and innovative team
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 Opportunity to experiment with frontier AI techniques including Generative AI and RAG
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 Competitive compensation, benefits, and a growth-oriented culture
 
 
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 What You&rsquo;ll Do
 
 
 
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 Design, build, and deploy ML models for recommendation systems, service forecasting, classification problems, and Gen AI-powered applications
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 Own the full lifecycle of AI/ML projects&mdash;from data exploration and feature engineering to model training, evaluation, and deployment
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 Collaborate with product managers, data engineers, MLOps teams, and architects to create production-ready solutions
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 Leverage LLMs (Large Language Models) and Retrieval-Augmented Generation (RAG) for intelligent customer experiences and automation
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 Ensure high model performance, interpretability, and scalability across diverse datasets and use-cases
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 Contribute to building reusable AI/ML components and pipelines to accelerate development velocity
 
 
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 Basic Qualifications
 
 
 
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 Master&rsquo;s degree or PhD in Computer Science, Machine Learning, Data Science, Statistics, or a related technical field
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 3+ years of experience in building machine learning models for real-world business applications
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 Strong programming skills in Python
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 Experience with key ML techniques including regression, classification, collaborative filtering, and deep learning
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 Familiarity with model deployment tools (e.g., FastAPI, Docker, AWS/GCP/Azure ML services)
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 Solid understanding of data structures, algorithms, and software engineering principles
 
 
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 Preferred Qualifications
 
 
 
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 Proven experience in recommendation engines, time-series forecasting, and NLP/GenAI (e.g., OpenAI, LangChain, Transformers)
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 Experience with deploying models in production environments and maintaining MLOps workflows
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 Strong problem-solving skills with the ability to translate business objectives into technical solutions
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 Demonstrated thought leadership via patents, publications, or internal innovations
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 Comfortable working in fast-paced, ambiguous environments where autonomy and self-direction are key
 
 
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 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

Peoplefy

<div>
 
 
 Job Details:
 
 
 
 
 
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 📢 Job Title: Data Scientist III
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 📍 Job Location: Pune
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 👉Job Type: Full-Time (Hybrid)
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 ✔️Notice Period: Immediate- 45 Days (or Serving NP)
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 👨 💼Experience Required: 3.5 Years- 7 Years
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 Responsibilities:
 
 
 
 
 
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 You will be involved in the delivery of robust, scalable ML solutions by assisting more senior data scientists in the development of detailed problem statements outlining hypotheses and effects on target clients, analysis and summarization of datasets, data selection and transformation, ML model training, and examination of model performance.
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 You will pursue effective relationships by sharing resources, information, and knowledge, receive and learn from feedback, and assess and respond to the needs of others to support a business outcome.
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 You will plan and schedule your work with minimal direction, and exercise judgment and discretion in resolving and developing solutions for both standard and nonstandard problems, interpreting broad guidelines to identify a resolution
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 Preferred Qualification:
 
 
 
 
 
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 Experience in healthcare or Finance or Banking and a matrixed organization.
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 Experience working with exploratory data analysis and visualization methods.
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 Experience with machine learning and/or algorithms, ML Models.
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 Experience with statistical analysis and Modeling or Statistical Techniques.
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 Programming experience (Python) in a paid or unpaid environment
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 Experience with any one ML frameworks such as Scikit-Learn, TensorFlow, or Keras or similar.
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 Experience with numeric, imaging, and textual data wrangling and visualization.
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 Experience with GenAI and training LLM's (LLM,RAG Architecture) OR Operation Research(Linear Programming, Or-Tools, Gurobi)
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 Good Knowledge in Numeric, Imaging Textual data Wrangling &amp; Visualization.
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</div>

Data Scientist III

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:
 
 
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 Design and implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.
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 Build and integrate LLM-powered agents using AWS Bedrock and open-source frameworks (LangChain, AutoGen, LlamaIndex).
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 Develop event-driven data pipelines leveraging AWS Lambda, Step Functions, and EventBridge.
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 Apply prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication techniques to enhance workflow performance.
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 Integrate AI agents securely with external systems via APIs.
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 Collaborate with data engineers to design PHI/PII-safe ingestion pipelines, ensuring regulatory compliance.
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 Monitor, test, and fine-tune AI workflows for accuracy, latency, scalability, and compliance.
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 Work cross-functionally with product and domain experts to deliver regulatory-compliant healthcare/Life Sciences AI solutions.
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 Qualifications:
 
 
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 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (Master&rsquo;s preferred).
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 3&ndash;6 years of experience in AI/ML engineering with proven hands-on expertise in LLM/agentic AI development.
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 Strong programming skills in Python and/or TypeScript.
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 Practical experience with frameworks such as LangChain, LlamaIndex, and AutoGen.
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 Familiarity with AWS AI/ML services: Bedrock, SageMaker, Textract, Comprehend Medical.
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 Proficiency in API integration and event-driven architectures.
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 Experience in healthcare/life sciences AI solutions with an understanding of regulatory and compliance standards (HIPAA, GDPR, etc.) preferred.
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 Strong problem-solving mindset with the ability to experiment, iterate, and optimise rapidly.
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 Required Skills:
 
 
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 Expertise in agentic AI workflows.
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 Experience with LLM-powered applications.
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 Strong programming skills in Python and/or TypeScript.
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 Familiarity with AWS AI/ML services.
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 Preferred Skills:
 
 
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 Experience in healthcare/life sciences AI solutions.
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 Understanding of regulatory and compliance standards.
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 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.
 
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 Group Health Insurance covering a family of 4
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 Term Insurance and Accident Insurance
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 Paid Holidays &amp; Earned Leaves
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 Paid Parental Leave
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 Learning &amp; Career Development
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 Employee Wellness
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</div>

Artificial Intelligence Engineer

Zensar Technologies

<div>
 
 Job Description
 
 
 
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 Lead the development and optimization of ASR (Automatic Speech Recognition), TTS (Text-to-Speech), NLU (Natural Language Understanding), and LLM-based components for conversational AI applications.
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 Architect and implement data pipelines for training, evaluating, and deploying speech and language models at scale.
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 Develop and fine-tune speech recognition, text-to-speech, and natural language understanding (NLU) models.
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 Evaluate and optimize ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) engines for accuracy, latency, and user experience.
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 Integrate LLMs (e.g., Open AI, GPT, PaLM, BERT, Claude) into conversational workflows to enhance contextual understanding and response generation.
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 Strong experience with NLP frameworks (spaCy, Transformers) and LLMs.
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 Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
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 Design and implement speech analytics solutions for: call categorization, call tagging, sentiment analysis and trend analysis
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</div>

Data Scientist India _Pune..., 1 Position

<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
 
 
 
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 As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders.
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 In your role, you may be responsible for:
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 Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data &amp; incorporating machine learning. techniques in your projects
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 Writing programs to cleanse and integrate data in an efficient and reusable manner
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 Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
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 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
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 Evaluating modelling results and communicating the results to technical and non-technical audiences.
 
 
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 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
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 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
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 Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
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 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
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 Document solution architectures, design decisions, implementation details, and lessons learned.
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 Create technical documentation, white papers, and best practice guides.
 
 
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 Preferred Technical And Professional Experience
 
 
 
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 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
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 Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
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 Experience and working knowledge in COBOL &amp; JAVA would be preferred.
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</div>

Data Scientist-Artificial Intelligence

Capgemini Engineering

<div>
 
 
 Responsibilities
 
 
 
 &bull; Delivering the implementation and ensuring the technical success of our solution.
 
 
 &bull; Supporting as a subject matter expert in advising the product team on industry use cases, ideation, and feature implementation.
 
 
 &bull; Supporting product managers, data scientists and customers to drive the adoption of AI / ML-based process optimization applications.
 
 
 
 
 
 
 Requirements
 
 
 
 &bull; A bachelor's degree (or higher) in Chemical Engineering or equivalent.
 
 
 &bull; Minimum of 10 years of experience implementing Advanced Process Control (APC) and/or optimization solutions with products like AspenTech DMC3, Honeywell Forge APC (UOP APC), AVEVA APC (Advanced Process Control).
 
 
 &bull; Experience and passion with data driven/ML based optimization models.
 
 
 &bull; Proven ability to successfully deliver technical implementation of APC and/or optimization projects on complex industrial processes.
 
 
 &bull; Effective communication, interpersonal, and customer engagement skills.
 
 
 &bull; Business Acumen and the ability to influence senior-level management investment decisions.
 
 
 &bull; Proven experience working with people in an operating plant or other operational setting.
 
 
 &bull; Extensive experience communicating and working with senior executive stakeholders.
 
 
 
 
 
 
 Skills required
 
 
 
 &bull; Expert-level knowledge of APC and optimization technologies and methodologies.
 
 
 &bull; Knowledge of plant data-driven process modelling/analytics and its limitations.
 
 
 &bull; Experience with varied and complex industrial processes, preferably LNG, cryogenic processes, syngas and/or fertilizer industries, gas processing, refining and olefins.
 
 
 
</div>

APC and optimization Engineer Location : Mumbai Pune

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