Add office photos
All Filters
165 Worley Jobs
Senior Data Scientist
Worley
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Major Accountabilities of Position : a AI/ML Architect must have
Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures.
Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions.
Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc.
Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem.
Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio.
Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning.
Knowledge / Experience / Competencies Required
IT Skills Experience (Priority wise):
1. Hands-on programming and architecture capabilities in Python.
2. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies.
3. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. )
4. Understanding of Nvidia Enterprise NEMO Suite.
5. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models.
6. Experience in AI solution development with external SaaS products like Azure OCR
7. Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow Sci-Kit Learn
8. Hands-on knowledge of API frameworks.
9. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems.
10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation.
11. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra.
12. Experience with open source software
13. Experience using the cognitive APIs machine learning studios on cloud.
14. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN)
15. Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times.
16. Understanding of complete AI/ML project life cycle
17. Understanding of data structures, data modelling and software architecture
18. Good understanding of containerization and experience working with Docker, AKS.
People Skills:
Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams.
Ability to work independently and as part of a team.
Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning.
Cooperative mindset, flexibility, and the ability to work effectively in a team.
Professional and open communication to all internal and external interfaces.
Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills.
Accurately report to management in a timely and effective manner.
Other Skills:
Outstanding analytical and problem-solving skills
Education Qualifications, Accreditation, Training:
Master s in Information Technology / Big Data/Data Science/AI/Computer Science
Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects.
Moving forward together
We re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law.
And were not just talking about it; were doing it. Were reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in todays low carbon energy infrastructure and technology.
Whatever your ambition, there s a path for you here. And there s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Senior Data Scientist roles with real interview advice
People are getting interviews at Worley through
People are getting interviews through
(based on 75 Worley interviews)
Job Portal
Campus Placement
Referral
Company Website
Walkin
Recruitment Consultant
25%
23%
12%
12%
4%
1%
23% candidates got the interview through other sources.
High
Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.
What people at Worley are saying
Senior Data Scientist salary at Worley
reported by
5
employees
with 8-10
years exp.
₹18
L/yr - ₹26
L/yr
25%
less
than the average Senior Data Scientist Salary in India
View more details
What Worley employees are saying about work life
based on 985 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Worley Benefits
View more benefits
Compare Worley with
Jacobs Engineering Group
Compare
Fluor Corporation
Compare
Bechtel
Compare
McDermott International
Compare
TechnipFMC
Compare
Aker Solutions
Compare
Wood Group
Compare
Saipem
Compare
Petrofac
Compare
Larsen & Toubro Limited
Compare
Tata Projects
Compare
Shapoorji Pallonji Group
Compare
Kalpataru Projects International
Compare
KEC International
Compare
Nagarjuna Construction Company
Compare
Alstom Transportation
Compare
Tata Technologies
Compare
AECOM
Compare
Saint-Gobain
Compare
AtkinsRealis
Compare
Similar Jobs for you
Worley Mumbai Office Location
Andheri Office
RK Mandir Rd, Kondivita, Andheri East, Mumbai, Maharashtra 400059, India
Andheri
View on map
Share an Interview