Machine Learning Engineer
- Uplers
- 3 - 5 years
- United States (U.S)
- 2 months ago
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Job Description
Machine Learning Engineer
Experience: 3 - 5 Years Exp.
Salary : INR 35-50 Lacs per annum
Preferred Notice Period: Within 30 Days
Shift: 2:00 PM to 11:00 PM IST
Opportunity Type: Remote
Placement Type: Permanent
(*Note: This is a requirement for one of Uplers' Clients)
Must have skills required :
Cloud Infrastructure, AWS, Deep R&D Experience, or Azure, Python and ML frameworks, GCP
Incept Labs (One of Uplers' Clients) is Looking for:
Machine Learning Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.
Role Overview Description
Machine Learning Engineer
We're looking for a Machine Learning Engineer to help us build cutting-edge AI solutions for education and research communities. Youll work at the intersection of machine learning and language, developing and deploying models that understand and generate content with cultural nuance and linguistic accuracy across various languages. This role requires deep technical expertise in ML systems.
You'll join a high-impact, compact team responsible for designing, training, and deploying machine learning models that serve diverse educational and research use cases. You'll work directly with researchers, data engineers, and product teams to bring AI capabilities from research to production.
Responsibilities
- Design, develop, and deploy machine learning models with strong performance on language tasks, including NLP, understanding, and generation.
- Fine-tune and adapt large language models, ensuring cultural and linguistic appropriateness for target regions.
- Build and maintain ML pipelines for training, evaluation, and deployment of models capable of handling diverse languages.
- Develop evaluation frameworks and benchmarks to measure model performance on complex linguistic tasks.
- Collaborate with research teams to implement state-of-the-art ML techniques and optimise model architectures.
- Work with data engineers to define data requirements and improve data quality for language model development.
- Implement monitoring and observability solutions to track model performance and data drift in production.
- Contribute to the development of multilingual and cross-lingual capabilities.
- Document model architectures, training procedures, and deployment processes.
Requirements
- 3+ years of experience in machine learning engineering, with demonstrated expertise in NLP and language models.
- Strong experience training, fine-tuning, and deploying large language models (LLMs) in production environments.
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers, etc. ).
- Experience with distributed training, model optimisation, and inference at scale.
- Familiarity with cloud infrastructure (AWS, GCP, or Azure) and ML deployment tools (Docker, Kubernetes, model serving frameworks).
- Strong understanding of ML best practices, including experiment tracking, versioning, and reproducibility.
- Experience with evaluation methodologies and metrics for language models.
- Proactive about documentation, code quality, and collaborative development practices.
- Excellent communication skills in English.
Preferred Qualifications
- Experience building ML systems for education or research applications.
- Experience with multilingual and cross-lingual model development.
- Background in computational linguistics or related fields.
- Publications or contributions to ML/NLP open-source projects.
How to apply for this opportunity:
Easy 3-Step Process:
1. Click On Apply! And Register or log in on our portal
2. Upload updated Resume & Complete the Screening Form
3. Increase your chances to get shortlisted & meet the client for the Interview!
About Our Client:
Incept Labs is a new, agile, and well-funded machine learning lab created to bridge the gap between fundamental research and high-impact, real-world applications. Our focus is to build highly customized, domain-specific AI models to solve complex challenges in education and science. As a nascent lab, much of our specific work and internal structure is not yet public.
Our Vision & Research Focus
Incept Labs was founded by Ritankar Das and Qingqing Mao, serial entrepreneurs with a proven track record of building and scaling successful companies with notable exits in sectors including healthcare AI and Enterprise SaaS. Our long-term research and development is backed by a major investment from technologist Joseph Liemandt (founder of Trilogy Software) and Alpha School, a leader in educational innovation.
Our partnership with the Alphas School also provides us with an immediate, real-world testbed for our innovations and a powerful distribution channel to deploy solutions at scale, ensuring our research has a tangible impact.
We believe the future of AI lies not in monolithic, general-purpose models, but in deeply customized and fine-tuned LLMs that are specific to a given domain, culture, and task. Our primary research areas include:
- Domain-Specific LLMs for Education: Creating next-generation educational tools with a global perspective, targeting opportunities in the U.S. and international markets like the UAE.
- AI for Fundamental Science: Applying our customization techniques to develop models that can accelerate research and discovery in foundational scientific disciplines.
- Personalized AI Agents: Building truly personalized LLMs that can adapt and cater to individual user needs and contexts.
About Uplers:
Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.
With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.
Experience a simpler, faster, and more reliable hiring process with Uplers today.Role & responsibilities
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): United States (U.S)
Keyskills: Deep R&D Experience Cloud Infrastructure AWS or Azure GCP Python and ML frameworks Machine Learning
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