20,160 Ey Gds Consulting AI Enabled Automation Genai Agentic Senior jobs in India
Machine Learning Engineer
Posted 2 days ago
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Job Description
**Team Overview:**
Join our pioneering Core-LLM platform team, dedicated to pushing the boundaries of Generative AI. We focus on developing robust, scalable, and safe machine learning models, particularly LLMs, SLMs, Large Reasoning Models (LRMs) and SRMs that power cutting-edge ServiceNow products and features. As a Senior Manager, you will lead a talented team of machine learning engineers, shaping the future of our AI capabilities and ensuring the ethical and effective deployment of our technology.
**What you get to do in this role:**
+ Design, develop, and evaluate end-to-end machine learning solutions, with a focus on large language models (LLMs), combining engineering rigor and research depth.
+ Lead the development of PoCs and applied research prototypes to explore novel AI capabilities, model interpretability, and safety strategies.
+ Conduct cutting-edge experiments to assess model behaviour, generalization, and fairness across diverse datasets and use cases.
+ Generate and curate synthetic and real-world datasets to optimize model robustness, reliability, and performance.
+ Fine-tune and deploy large-scale models, incorporating prompt engineering, few-shot learning, and retrieval-augmented techniques.
+ Collaborate cross-functionally with product, research, and engineering teams to publish white papers, participate in conferences, and contribute to open-source or peer-reviewed ML/AI research.
+ Define and implement rigorous evaluation protocols, including human-in-the-loop testing, bias detection, and safety metrics.
+ Develop CI/CD pipelines and containerized workflows for scalable training, evaluation, and deployment of ML solutions in production.
+ Identify risks in AI applications and contribute to responsible AI initiatives, including transparency, robustness, and compliance frameworks.
**Key qualifications:**
1. Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
2. Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
3. 2+ years of experience in machine learning, deep learning, or data science, with a track record of applied research or experimentation.
4. Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and NumPy.
5. Hands-on experience with prompt engineering, model training, evaluation, and optimization for LLMs or foundation models.
6. Proven experience in applied research, academic publication, technical blogging, or contributions to open-source ML projects.
7. Familiarity with data-centric AI workflows: synthetic data generation, labelling strategies, and dataset versioning tools.
8. Deep understanding of AI/ML evaluation strategies, model robustness techniques, and responsible AI practices.
9. Practical experience deploying models using inference platforms like Triton, ONNX in production environments.
10. Experience working with MLOps stacks: CI/CD, experiment tracking (e.g., MLflow), Docker, Kubernetes, and distributed training frameworks.
11. Excellent communication skills with the ability to explain complex ML ideas to non-technical stakeholders and contribute to scientific documentation.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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Machine Learning Engineer
Posted 12 days ago
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Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Machine Learning Engineer
**What you will do**
Let's do this. Let's change the world. In this vital role as a Machine Learning Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations. This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development.
**Roles & Responsibilities:**
+ Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
+ Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
+ Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
+ Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
+ Write clean, efficient, and well-tested code.
+ Participate in code reviews and provide constructive feedback.
+ Maintain system uptime and optimal performance
+ Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years
**Preferred Qualifications:**
**Functional Skills:**
+ Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
+ Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
+ Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
+ Experience with popular large language models like OPEN AI
+ Experience with language models and frameworks like Langchain or llamaIndex
+ Proficiency with prompt engineering, model fine tuning
+ Familiarity with DevOps CICD build and deployment pipeline
+ Experience with design patterns, data structures, test-driven development.
**Professional Certifications:**
+ AWS, Data Science Certifications(preferred)
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills.
+ Ability to work effectively with global, virtual teams.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Machine Learning Engineer
Posted 21 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Machine Learning Engineer
Posted today
Job Viewed
Job Description
We’re looking for a Senior MLOps & AI Developer who brings deep expertise in software development, AI/ML infrastructure, and full-stack development to help us deliver next-generation AI applications.
Location : Gurugram
What You’ll Do
- Build and optimize AI/ML infrastructure for model training, deployment, and monitoring.
- Design and implement end-to-end MLOps pipelines with CI/CD automation.
- Develop scalable AI solutions leveraging multiple LLMs, chunking, and embedding techniques.
- Manage databases and indexing systems (PostgreSQL, MySQL, NoSQL).
- Drive hybrid cloud solutions (primarily Azure) alongside on-premise integration.
- Build front-end AI applications using Angular and related technologies.
- Collaborate with AI/ML developers, data scientists, and DevOps to deliver high-performing solutions.
- Ensure security, networking, and performance optimization across systems.
What We’re Looking For:
- 8–10 years of proven development experience with Python.
- Strong MLOps background with Kubernetes, Docker, Terraform, and Azure.
- Hands-on experience with hybrid cloud and on-premise infrastructures.
- Database management skills (SQL & NoSQL).
- Front-end development proficiency with Angular, TypeScript, HTML, and CSS.
- Solid understanding of networking, security, and system optimization.
If you are an interested and relevant candidate, please write to me at
Note : This is an immediate requirement. Only candidates who are available to join within 15 to 30 days will be considered.
Machine Learning Engineer
Posted today
Job Viewed
Job Description
What you will enjoy doing
• You will develop, train, test and deploy machine learning models in various fields such as
computer vision, LLMs, tabular and time series data.
• Experimenting with novel deep learning based technologies such as self-supervised learning
and generative AI will also be part of your tasks
• You will support in setting up the MLOps infrastructure for existing and new AI products
• Additionally you will work directly with customer data and set up data pipelines to collect,
curate, transform and version data
You'll be working in the Artificial Intelligence team, Linde's AI global corporate division engaged with
real business challenges and opportunities in multiple countries. Focus of this role is to support the
AI team with extending existing and building new AI products for a vast amount of uses cases across
Linde’s business and value chain. You'll collaborate across different business and corporate functions
in international team composed of Project Managers, Data Scientists, Data and Software Engineers
in the AI team and others in the Linde's Global AI team.
As a Machine Learning Enginee, you will be working closely with our global AI team to create and
implement sustainable AI models, algorithms, and software solutions for our global industrial gases
and engineering services operations. You will participate in the collection, analysis, interpretation, and
output of large amounts of data using advanced AI techniques like deep learning, NLP, and computer
vision.
What Makes You Great
• You have a Bachelor or Masters Degree in Data Science, Computational
Statistics/Mathematics, Computer Science or related field
• You know the basics of neural networks and have an initial practical experience with deep
learning frameworks like PyTorch and Tensorflow.
• You have experience in backend and API development with Python (FastAPI, Flask) or similar
• You demonstrate knowledge of and basic practical experience with Object Oriented
Programming, design patterns, algorithms and data structures, version control systems (e.g.
Git)
• Having basic experience with cloud platforms (e.g. Azure), Docker and Kubernetes is a plus
• Fluent English
Why You Will Love Working With Us
At Linde, you will have the opportunity to think outside the box, work on innovative topics, and deliver
impactful solutions to our internal customers. You’ll be part of a team that values inclusivity, fosters
creativity, and welcomes diverse perspectives, making Linde an employer of choice.
We act responsibly towards our shareholders, business partners, employees, society, and the
environment. Linde is committed to technologies and products that combine customer value with
sustainable development.
What We Offer You
In addition to an attractive compensation package, we offer flexible working hours and various
benefits to support your professional and personal development. Our culture values work-life
balance, helping you to combine career ambitions with family commitments.
Have We Inspired You?
We look forward to receiving your application.
Machine Learning Engineer
Posted today
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Job Description
We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team.
You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery.
What we're looking for:
- At least 3 years of experience in designing & building AI applications for customer and deploying them into production
- At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers.
- Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.
- Design, develop, and operationalize existing ML models by fine tuning, personalizing it.
- Evaluate machine learning models and perform necessary tuning.
- Develop prompts that instruct LLM to generate relevant and accurate responses.
- Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.
- Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.
- Hands on customer experience with RAG solution or fine tuning of LLM model.
- Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.
- Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.
- Proven experience building and deploying machine learning models in production environments for real life applications
- Good understanding of natural language processing, computer vision or other deep learning techniques.
- Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).
- Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.
- Excellent communication, collaboration, and problem-solving skills.
Good to Have
- Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.
- Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.
- Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows
- Experience with AutoML and vision techniques.
- Master’s degree in statistics, machine learning or related fields.
Machine Learning Engineer
Posted today
Job Viewed
Job Description
Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.
Key Responsibilities:
- Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
- Fine-tune pre-trained LLMs for specific tasks and domains.
- Conduct research on new techniques for improving the performance and capabilities of generative AI models.
- Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
- Evaluate and analyse the performance of ML/generative AI models.
- Stay up to date on the latest advancements in generative AI research.
- Facilitate the development and deployment of proof-of-concept Generative AI systems.
Qualifications:
- Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- 3-5 years of experience in generative AI or related fields.
- Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
- Strong programming skills in Python.
- Familiarity with RAG and other techniques for building generative models.
- Extensive experience with Git, Docker and a good understanding of Linux for managing servers.
- Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
- Exposure to ML/GenAI frameworks and tools.
- Excellent communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Methodical and meticulous towards work and planning.
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Machine Learning Engineer
Posted today
Job Viewed
Job Description
Key Responsibilities
● Design, develop, and deploy machine learning models for real-world business and
product applications
● Collaborate with data scientists, data engineers, and product teams to define ML
use cases and deliver actionable insights
● Clean, preprocess, and analyze structured and unstructured data using statistical
and ML techniques
● Monitor and evaluate model performance, improve accuracy, and retrain models as
needed
● Build and manage end-to-end ML pipelines, including feature engineering,
model training, deployment, and monitoring
● Work with Azure ML tools to build, register, and deploy models within a scalable
cloud environment
● Create and maintain APIs using tools like FastAPI or Flask to serve models in
production
● Stay updated with the latest developments in ML, data science, and cloud
technologies
Required Skills & Qualifications
● 2–3 years of experience in Machine Learning / Data Science roles
● Experience with Azure ML Studio, Azure Machine Learning SDK, or related Azure
data services
● Strong programming skills in Python, with proficiency in ML libraries like
scikit-learn, TensorFlow, or PyTorch
Machine Learning Engineer
Posted 1 day ago
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Job Description
Company Description
Ai Health Highway is a global team of medical professionals, signal processing engineers, data scientists, and clinicians. The company is AI-first and focused on making screening of chronic diseases cost-effective at the primary care clinic. This approach aims to improve patient outcomes and accessibility to healthcare services.
We are backed by Turbostart, Rainmatter by Zerodha, The Chennai Angels, Social Alpha, Foundation for Science, Innovation & Development (FSID) IISC and many other prominent angel investors. AiSteth is one of the 27 most promising ML startups selected for AWS ML Elevate 2022 program by Amazon, Intel, Accel & YourStory. We are also the winners of the PHC Tech Challenge 2021 award organized by PATH.
Goal - Our Goal is to reduce 30% premature deaths due to #NCDs by 2030.
Role Description - ML Engineer (Bangalore / On-Site)
- Work closely with the Product leader to define product/platform vision
- Interface with Client ML and Business teams to demonstrate thought leadership, and drive delivery of products and solutions
- Conduct original research on large proprietary and open source data sets
- Identify, research, prototype and build predictive models
- Create framework for AI/ML code deployment to ensure robustness and reliability of production ready models
- Responsible for understanding industry processes and incorporating them in the solution
- Be responsible for measuring and optimizing the quality of your algorithms
- Collaborate with engineering teams, platform teams to drive vision for AI/ML platform
Qualifications
- Minimum 2-3 years of experience working in similar field/ domain.
- Advanced degree in Computer Science, Signal Processing, Data science, Biomedical Engineering, AI/ML
- At least one core programming expertise, such as python (Tensorflow, Keras, Pytorch, Signal Processing packages etc.), R, Scala
- Strong statistical knowledge, analytical and problem-solving skills, intuition and experience applying machine learning models to real world data
- Strong project management skills to execute multiple projects in parallel
- Experience in deploying production ready ML code.
- Experience with knowledge graphs, optimization, decision theory or signal processing
- Interpersonal skills: good verbal and written communication skills, cross-group and cross-culture collaboration.
- Understanding of Algorithms and Machine Learning principles
- Experience with healthcare data analysis is a plus
Machine Learning Engineer
Posted 1 day ago
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Job Description
Machine Learning Engineer
World Salon is looking for a Machine Learning Engineer to build recommendation systems and automation models. The responsibility will be developing algorithms and data models to match speakers with suitable events and recommend events to users' interests. The candidate will contribute to data collection strategies, optimize existing datasets, and implement machine learning models using Python and vector databases.
Responsibilities:
- Build and maintain ML algorithms for speaker-event matching and personalized event recommendations.
- Develop and optimize data pipelines and vector database integrations.
- Manage data collection processes to enhance model accuracy.
- Analyze business requirements and translate them into scalable ML solutions.
Qualifications:
- Degree from a leading university in Data Science, Machine Learning, Computer Science, or a related field, or significant equivalent experience.
- Proficiency in Python and experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
- Experience working with vector databases and implementing recommendation systems.
- Strong analytical capabilities combined with an understanding of business objectives.
- Ability to manage projects independently, from initial concept through implementation and evaluation.