Python Developer GenAIMLOps Specialist
Python Developer GenAIMLOps Specialist
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Job Description
We are seeking a highly skilled Python Developer with 5 10 years of experience specializing in FastAPI Generative AI and MLOps practices. The ideal candidate should have handson expertise in building scalable AIdriven applications and deploying them into production environments. You will collaborate with crossfunctional teams to deliver realworld AI solutions.
Responsibilities:
Design build and maintain highperformance APIs using FastAPI.
Develop and integrate solutions using LangChain LlamaIndex or Autogen.
Train finetune and deploy Generative AI models.
Implement MLOps practices such as model versioning monitoring retraining and automation pipelines.
Containerize applications with Docker and deploy to orchestration platforms like AWS ECS.
Collaborate closely with ML engineers data scientists and DevOps teams.
Maintain clean scalable and versioncontrolled code using Git.
Requirements
Required Skills:
5 10 years of experience in Python development and backend API frameworks especially FastAPI.
Strong understanding of Machine Learning concepts and practical applications.
Handson experience with LangChain LlamaIndex or Autogen frameworks.
Proficiency in GenAI model training finetuning and deployment strategies.
Strong knowledge of MLOps practices including model lifecycle management.
Practical experience with Docker containerization and deployments (AWS ECS or similar).
Expertise in using Git for code collaboration and version control.
Nice to Have:
Knowledge of Natural Language Processing (NLP) and Deep Learning architectures.
Familiarity with cloud platforms like AWS GCP or Azure.
Experience with Vector Databases (e.g. FAISS Pinecone.
Exposure to realtime data processing or eventdriven architectures.
Added Advantage: Experience with PySpark for big data processing.
Educational Qualification:
Bachelor s or Master s degree in Computer Science Information Technology or a related field.
Benefits
What We Offer:
Opportunity to work with cuttingedge technologies in a collaborative environment.
Continuous learning and professional development opportunities.
AI/ML Engineer We are on the lookout for a resourceful and proficient AI engineer/developer to join our forward-thinking team. The ideal candidate will not only possess a strong foundation in Python programming, advanced mathematics, and algorithms, but also have specialized knowledge in generative AI (GenAI) and large language models (LLMs). This role is pivotal in developing machine learning and deep learning models, understanding and applying various neural network architectures, and handling intricate data processing and visualization. The successful candidate will be adept in natural language processing, deploying AI and ML solutions, and upholding AI security. Experience Required: 5 to 10 years of relevant experience in AI/ML development. Key Responsibilities: Develop and refine machine learning and deep learning models. Apply expertise in neural network architectures, specifically for GenAI and LLM applications. Handle complex data processing, cleaning, and visualization tasks. Utilize natural language processing techniques for advanced AI solutions. Efficiently deploy AI/ML models in production environments, focusing on scalability and robustness. Uphold and enhance AI security measures to protect systems and data. Collaborate with cross-functional teams to integrate AI solutions, particularly GenAI and LLMs, into broader systems and applications. Stay abreast of the latest trends and advancements in AI, machine learning, GenAI, and LLMs. Requirements: Proficiency in Python programming. Advanced knowledge in mathematics and algorithm development. Experience in developing machine learning and deep learning models. Strong understanding of neural network architectures, with emphasis on GenAI and LLMs. Skilled in data processing and visualization. Experienced in natural language processing. Knowledgeable in AI/ML deployment, DevOps practices, and cloud services. In-depth understanding of AI security principles and practices. Benefits: Standard Company Benefits.
Employment Type
Full Time
