| AI AND Machine Learning - Direct Client at Remote, Remote, USA |
| Email: [email protected] |
| From: Megha, Infologitech [email protected] Reply to: [email protected] Hi Greetings from Info Logitech, Inc Here is our open requirement which can be filled immediately Kindly respond to this requirement with your resume, contact and current location info to speed up the interview process Job Position: AI/ML Engineer Job Location: Remote Job Duration: 6-12 Months Job Description : Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems. Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc. Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development. Support the team in creating pricing strategies, go-to-market plans, and identifying potential partnerships to promote AI/ML adoption. Working across client teams to develop Generative AI solutions using ML and GenAI Developing and promoting standards across the community Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. You'll design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like TensorFlow or PyTorch. Once your model is built, you'll train it on the prepared data, fine-tuning hyperparameters to achieve optimal performance. You'll then evaluate the model's outputs to assess its effectiveness and identify areas for improvement. You'll collaborate with other engineers to integrate your generative AI solution into existing systems or develop new applications. This might involve deploying the model on cloud platforms for scalability. The field of generative AI is rapidly evolving. Staying abreast of the latest research, advancements, and ethical considerations in AI development is an ongoing process. What you will bring Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders. Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions. Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure) Hands-on experience with RAG, agentic workflows, fine tuning, or other LLM-based techniques. Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation. Excellent python, especially for ML/AI use cases. Software engineering and/or application development background, especially in one of the major clouds. Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions. Qualifications 3+ years of experience programming in Python Knowledge of Python libraries like Pandas, Scikit-Learn, Numpy, NLTK is required 3+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM) 3+ years of experience building and maintaining scalable API solutions Experience working with RAG technologies and LLM frameworks (Langchain, Claude and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS , Milvus , OpenSearch, Pinecone etc.) Experience working with Retrieval Augmented Thoughts (RAT) and chain of thoughts. Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostGres), etc. Experience working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines Experience driving DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI Experience with machine learning libraries and services like TensorFlow, PyTorch, or Amazon SageMaker. Experience integrating GenAI solution on cloud platform (e.g., AWS, Azure, Google Cloud) 3+ years of experience in developing algorithms using data science technologies to build analytical models 3+ years of data extraction/manipulation experience using scripts specific to AI/ML 3+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques. 3+ years of experience in data wrangling/cleansing, statistical modeling, and programming 3+ years of extensive experience working in an Agile development environment Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience Thanks & Regards, Megha US IT Recruiter | InfoLogitech, Inc. 3 Independence Way, Suite 117, Princeton, NJ - 08540. Direct 609-212-0605 Email: [email protected] | www.infologitech.com Infologitech Technology Company Keywords: artificial intelligence machine learning information technology golang New Jersey AI AND Machine Learning - Direct Client [email protected] |
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| Wed Sep 18 19:04:00 UTC 2024 |