Data Scientist II
Job Summary
Job Description
Worley is seeking a skilled Data Scientist II with 4-7 years of experience in AI/ML projects. Must have strong Python coding, expertise in Generative AI components like LLMs, and experience with supervised/semi-supervised, and unsupervised machine learning algorithms. Knowledge of NLP, image processing with deep learning, and the complete AI/ML project life cycle is crucial.
Must have:
- Python Coding
- Generative AI
- Machine Learning
- AI/ML Project
Good to have:
- Cognitive APIs
- NLP Summarization
- Image Processing
- Data Structures
Perks:
- Diverse Workplace
- Sustainable Impact
8 skills required
Job Details
About the job
Building on our past. Ready for the future
Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.
At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI.
What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace.
Position Title (Global): Sr ML Engineer
MAJOR ACCOUNTABILITIES OF POSITION:
IT Skills & Experience (Priority wise):
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.
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's 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.
Education – Qualifications, Accreditation, Training:
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.
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's 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.
Company
Worley
Primary Location
IND-MM-Navi Mumbai
Other Locations
IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata
Job
Digital Platforms & Data Science
Schedule
Full-time
Employment Type
Employee
Job Level
Experienced
Job Posting
Sep 25, 2024
Unposting Date
Oct 26, 2024
Reporting Manager Title
Senior Manager
Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now.
At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI.
What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace.
Position Title (Global): Sr ML Engineer
MAJOR ACCOUNTABILITIES OF POSITION:
- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class
- Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service.
- Mentor team member for AI/ML development
- Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset.
- Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production.
- Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
IT Skills & Experience (Priority wise):
- Proven experience as a Data Scientist– AI/ML or similar role
- Ability to write robust code in Python.
- Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc.
- Experience in supervised/semi-supervised and unsupervised machine learning algorithms.
- Experience using the cognitive APIs machine learning studios on cloud.
- Up to speed on NLP (Summarization, Translation models, Named Entity Recognition)
- Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN)
- Understanding of complete AI/ML project life cycle.
- Understanding of data structures, data modelling and software architecture.
- Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture
- Ability to work independently and/or as part of cross-domain big team
- Professional and open communication to all internal and external interfaces.
- Accurately report to management in a timely and effective manner.
- Outstanding analytical and problem-solving skills
- Taking ownership of the tasks in hand and being accountable for deliverables.
- Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects.
- Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field
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.
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's 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.
Education – Qualifications, Accreditation, Training:
- Master’s in Information Technology / Big Data/Data Science/AI/Computer Science
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.
We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.
And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's 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.
Company
Worley
Primary Location
IND-MM-Navi Mumbai
Other Locations
IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata
Job
Digital Platforms & Data Science
Schedule
Full-time
Employment Type
Employee
Job Level
Experienced
Job Posting
Sep 25, 2024
Unposting Date
Oct 26, 2024
Reporting Manager Title
Senior Manager
Similar Jobs
Dublin, County Dublin, Ireland (On-Site)
• 4 Months ago
San Jose, California, United States (On-Site)
• 4 Months ago
ByteDance
San Jose, California, United States (On-Site)
• 3 Months ago
Tencent
Bellevue, Washington, United States (On-Site)
• 7 Months ago
Zoox
Foster City, California, United States (Hybrid)
• 5 Months ago
Get notifed when new similar jobs are uploaded
Similar Skill Jobs
Netflix
United States (Remote)
• 5 Months ago
ByteDance
Seattle, Washington, United States (On-Site)
• 5 Months ago
Mashgin
Palo Alto, California, United States (Hybrid)
• 5 Months ago
Meta
Redmond, Washington, United States (On-Site)
• 4 Months ago
Get notifed when new similar jobs are uploaded
Jobs in Navi Mumbai, Maharashtra, India
Saviynt
Bengaluru, Karnataka, India (On-Site)
• 5 Months ago
Get notifed when new similar jobs are uploaded
Artificial Intelligence Jobs
Keywords Studios (Player Support)
Katowice, Silesian Voivodeship, Poland (On-Site)
• 3 Months ago
Microsoft
Munich, Bavaria, Germany (On-Site)
• 2 Months ago
Los Angeles, California, United States (On-Site)
• 3 Months ago
New Taipei, New Taipei City, Taiwan (On-Site)
• 3 Months ago
Novancy One | Digital Talent Recruitment
Massachusetts, United States (On-Site)
• 7 Months ago
Microsoft
Redmond, Washington, United States (On-Site)
• 3 Months ago
Get notifed when new similar jobs are uploaded
