AI/ML Engineer
- Posted a month ago
- Over 100 applicants have applied
Job Description
AI Engineer (Mid-Level)
Responsibilities:
- Design, develop, and implement AI/ML models and algorithms.
- Build Proof of Concept (POC) applications to showcase feasibility and value of AI solutions.
- Write clean, efficient, and well-documented code.
- Collaborate with data engineers to ensure data quality for model training and evaluation.
- Work with senior team members to understand requirements and contribute to technical solutions.
- Troubleshoot and debug AI/ML models and applications.
- Stay current with AI/ML advancements.
- Use ML frameworks (TensorFlow, PyTorch, Scikit-learn) for model development and deployment.
- Deploy AI solutions on Google Cloud Platform (GCP).
- Implement data preprocessing and feature engineering with Pandas and NumPy.
- Utilize Vertex AI for training, deployment, and management.
- Integrate Google Gemini for specific AI functionalities.
Qualifications:
- Bachelor's degree in Computer Science, AI, or related field.
- 3+ years of experience in AI/ML model development.
- Strong Python programming skills.
- Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of machine learning concepts.
- Ability to work both independently and in teams.
- Strong problem-solving and communication skills.
- Experience with GCP preferred.
- Familiarity with Vertex AI is a plus.
More Info
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Key Skills
About Company
Skills:
Tensorflow, Machine Learning, Pytorch, Azure, Google Cloud, AWS, Deep Learning, Feature Engineering, Data Preprocessing
Skills:
Python Programming, metrics, evaluation datasets, fine-tuning, LLM and AI fundamentals, Analytical Skills, AI agent architecture, prompt optimization, production ML AI systems, structured testing, benchmarks, model and LLM evaluation, root-cause analysis, model improvement
Skills:
Pytorch, NLP techniques and libraries, Python with TensorFlow, Basic MLOps practices, Azure ML or equivalent cloud ML services
Skills:
data engineering , .NET, production deployment , Java, Scalability, Data Science, Cloud, System Design, Backend Engineering, Integration, Python, ML Engineering, Generative AI, LLMs, Agentic AI, Security, RAG, architecture, AI frameworks, AI application development
Skills:
Machine Learning, Gcp, Docker, Flask, FastAPI, Rest Apis, Azure, Kubernetes, Python, AWS, LangChain, Airflow, Generative AI, Hugging Face, MLflow, Pinecone, Agentic AI, FAISS, ChromaDB, Weaviate, Prompt Engineering, LlamaIndex