Negotiable
Outside
Remote
USA
Summary: The Machine Learning Specialist role at Amtex Systems Inc involves developing and implementing LLM-based applications for in-house legal needs, with a focus on excellence and innovation. The position requires strong foundations in machine learning, natural language processing, and Python, along with collaboration with legal experts to ensure domain-specific model requirements are met. The role emphasizes continuous improvement through experimentation and evaluation of model performance. This position is remote, allowing for flexibility in work arrangements.
Key Responsibilities:
- Develop and implement LLM-based applications tailored for in-house legal needs, ensuring alignment with excellence and innovation.
- Evaluate and maintain data assets and training/evaluation datasets for integrity and quality.
- Design and build pipelines for preprocessing, annotating, and managing legal document datasets.
- Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs.
- Conduct experiments and evaluate model performance to drive continuous improvements.
- Evaluate AI/ML and GenAI outcomes for accuracy, reliability, and alignment with business objectives.
- Interface with technical personnel to finalize requirements and demonstrate ownership of outcomes.
- Work closely with development team members to translate complex product requirements into software designs.
- Implement development processes, coding best practices, and code reviews for production environments.
Key Skills:
- Strong hands-on experience 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.
- Experience with large language models, prompt engineering, fine-tuning, and benchmarking.
- 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.
- 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.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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
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
- 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.
Lavkesh Dwivedi
Amtex System Inc.
28 Liberty Street, 6th Floor | New York, NY - 10005