Machine Learning Specialist - Remote

Overview

Remote
Hybrid
$DOE
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6+ month(s)

Skills

Machine Learning
AI
Legal

Job Details

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.


Machine Learning Specialist

Remote
Duration: 6+ Months

Strong Foundations in : Natural Language Processing, Machine Learning and Python, Search and Re-Ranking, torch, transformers

Nice to Have: GenAI, LLM, RAG, OpenSearch, ElasticSearch, MLOps, AWS

Job Description:
  • Develop and implement LLM-based applications tailored for in-house legal needs, ensuring they align with our commitment to excellence and innovation

Evaluate and maintain our data assets and training/evaluation datasets, ensuring they meet the highest standards of integrity and quality.

Design and build pipelines for preprocessing, annotating, and managing legal document datasets, fostering a customer-centric mindset.

Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs, working as one team.

Conduct experiments and evaluate model performance to drive continuous improvements, raising the bar in all deliverables.

Evaluate AI/ML and GenAI outcomes, both human and automated, to ensure accuracy, reliability, and alignment with business objectives.

Interface with other technical personnel or team members to finalize requirements, demonstrating ownership of outcomes.

Work closely with other development team members to understand complex product requirements and translate them into software designs, ensuring ethical choices in all actions.

Successfully implement development processes, coding best practices, and code reviews for production environments, embodying Cognizant's values in every task.

REQUIREMENTS

Strong hands-on experience and foundations in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms.

Experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.

Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT.

Practical experience with large language models, prompt engineering, fine-tuning, and benchmarking using frameworks such as LangChain and LlamaIndex.

Strong Python background.

Knowledge of AWS, Google Cloud Platform, Azure, or other cloud platforms.

Understanding of data modeling principles and complex data models.

Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB).

Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred.

Knowledge of API development, containerization, and machine learning deployment is highly preferred.

Experience with ML Ops/AI Ops is highly preferred.

Thanks and Regards!

Lavkesh Dwivedi




Amtex System Inc.

28 Liberty Street, 6th Floor | New York, NY - 10005

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.