Hi,
We have below positions with Genpact. Please share me suitable profiles if you have.
No OPT and GC profiles please
Position: 1
Job Title: Senior Machine Learning Engineer
Work Location: US - Remote , EST time zone
Client is seeking a strong Senior Machine Learning Engineer to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI
Responsibilities include developing deep learning libraries that support large-scale distributed training, open sourcing high quality code and reproducible results for the community, and bringing the latest research to Client products for connecting billions of users. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.
Responsibilities
Engineer, design, implement, and improve highly-scalable machine learning systems and tools for enabling research
Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects
Write clean and robust machine learning code
Contribute to open-source projects
Minimum Qualifications
Degree in Computer Science, Computer Engineering or relevant technical field
5+ years experience with deep learning
Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++
Experience with machine learning frameworks such as PyTorch and distributed optimization techniques such as FSDP/DDP
Experience working with large datasets and data pipelines
Solid understanding of algorithms, data structures, and software engineering best practices.
Demonstrated ability to work collaboratively in a fast-paced, team-oriented environment.
Excellent problem-solving and communication skills.
Preferred Qualifications
Demonstrated software engineering experience via work experience, or widely used contributions in open source repositories (e.g. GitHub)
Prior contributions to open-source AI/ML projects
Top must-have HARD skills:
5-10 years of Python experience
3-5 years of Pytorch experience
5+ years of Distributed ML Training (FSDP/DDP) experience
3-5 years of Dataset / Pytorch DataLoader experience
Position 2
Job Title: Data Engineer // Background in AI building tools(Preferred Ex- Meta employee)
Work Location: US - Remote
Job Description: Summary:
The CWs will support efforts to perform data mitigations on large scale datasets (image, video, text) leveraged by FAIR research teams. The goal is to proactively mitigate potential risks associated with these datasets.
Job Responsibilities:
Preprocessing: converting original datasets into a format that can be consumed by mitigation pipelines.
Filtering: running filtering using Integrity's pipeline.
Post-processing: consuming filtering results to filter in the original datasets, repackaging, and re-ingestion.
Optimization: identify optimization opportunities and improve the process.
Skills:
Software engineering skills include writing scripts to automate file processing and data transferring, and creating tools to improve productivity and streamline workflows.
Data Management: Data pipeline building. Data processing and cleaning, transformation and formatting, data quality control and validation
Communication - effective communication skills to collaborate with stakeholders and team members
Must-Have Skills
- 4+ years' experience in Python.
- Some data management experience, e.g. SQL, process large data.
- Able to be flexible and work well in different environments with varying tasks and responsibilities
- Background in AI building tools
- Former Meta high preferred
- 4+ years' experience.
Education/Experience:
Strongly prefer CWs with prior experience at Meta (full 2 years preferred), as this would enable them to leverage their existing knowledge of Meta's internal tools and processes, facilitating a faster onboarding process and more effective contribution to the FAIR mitigation efforts.
Thanks & Regards,
Kandula Subba Reddy | Team Lead – Delivery
VARITE, INC
1871 The Alameda, Suite 120, San Jose, CA 95126
E: subba.reddy@varite.com | www.varite.com | Careers @ VARITE
Entrepreneur Magazine's HOT 500 | INC 5000 | Staffing Industry Analysts 100 Fastest Growing Company
VARITE is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, caste, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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