| Urgent requirement for Machine Learning Engineer @ Remote at Remote, Remote, USA |
| Email: [email protected] |
| Role: Machine Learning Engineer - with LLM GenAI No of positions: 3 Location: Remote / Hybrid in San Jose, California Experience: 8+ years Client: T-Mobile Visa: Any Independent candidates Duration: Long-term contract Responsibilities Write efficient machine learning workflows and pipelines. Training pipeline - Ingest/Preprocess/Vectorize and index data. Inference pipeline - AI-guided workflow to respond to user requests or provide proactive recommendations. Measure Model metrics to evaluate the model's performance (Predictive & Gen AI metrics) - ( F1 Score, Faithfulness, Answer Relevancy etc). Evaluate and compare model performance for specific tasks to pick the optimal models. Apply Guardrails for both inputs and outputs. Identify areas of improvement for machine learning pipelines and models and implement them. Collaborate with Data scientists, MLOps/Devsecops and UX engineers to implement the solution. Collaborate with cross-functional teams to translate business requirements into ML solutions. Document and communicate, ml workflows, algorithms and solutions to technical and non-technical stakeholders. AI application experience with Network Domain solutions would be a plus. Skillset ML Engineer with 4-6 Years of relevant experience. Excellent experience with Python NLP libraries (NLTK, gensim, spacy etc). Good experience with deploying production models for Classification / Regression tasks. Working experience with LLM Application frameworks like langchain. Working experience with LLM Data and pre-processing frameworks like Llamaindex and unstructured.io Experience with applying guardrails for machine learning workflows. Experience with Nemo-guardrails for LLM and Microsoft presidio or any other PII removal frameworks. Working experience with open source and commercial LLM models. Working experience in benchmarking embedding models (both open and closed source) for vectorization and indexing. Working experience integrating with any Vector Databases (elastic, quadrant etc). Experience with any MLOps frameworks (open source or commercial) would be a plus. Experience with any cloud-based AI platforms (Sagemaker, Vertex AI etc). Experience with HungginFace libraries (SentenceTransformers etc). Adept at prompt engineering - Using the right prompts that maximise the accuracy of the Model's response. Excellent experience with Python and the related ecosystem for package management. Rust, Go or C for computing efficient workflows like efficient model serving would be a plus. Excellent knowledge of Notebook environment (Jupyter, VS Code IDE) for experimentation and development. Good experience with Git platforms and development workflows (GitHub, Gitlab etc.). Thanks & Regards Raviteja Sr.Technical Recruiter & Sales Executive [email protected] 1170 US Hwy 22 East Suite 307 Bridgewater, NJ 08807 -- Keywords: cprogramm artificial intelligence machine learning user experience information technology golang New Jersey |
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| Sun Mar 17 00:32:00 UTC 2024 |