Sr. AI/ML Engineer
- Kezan Inc
- 3 - 8 years
- Noida, Gurugram
- 7 days ago
- Email to a friend
- Report this job
Job Description
Role & Responsibility
Develop and maintain microservice architecture and API management solutions using REST and gRPC
for seamless deployment of AI solutions.
Collaborate with cross-functional teams, including data scientists and product managers, to acquire,
process, and manage data for AI/ML model integration and optimization.
Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art
AI/ML models.
Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance
improvements.
Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure
management.
Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to
ensure streamlined development workflows.
Operate container orchestration platforms like Kubernetes, with advanced configurations and service
mesh implementations, for scalable ML workload deployments.
Design and build scalable LLM inference architectures, employing GPU memory optimization
techniques and model quantization for efficient deployment.
Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing
on semantic retrieval and chatbot development.
Document model architectures, hyperparameter optimization experiments, and validation results using
version control and experiment tracking tools like MLflow or DVC.
Research and implement cutting-edge LLM optimization techniques, such as quantization and
knowledge distillation, ensuring efficient model performance and reduced computational costs.
Collaborate closely with stakeholders to develop innovative and effective natural language processing
solutions, specializing in text classification, sentiment analysis, and topic modeling.
Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic
improvements and decisions.
Stay up-to-date with industry trends and advancements in AI technologies, integrating new
methodologies and frameworks to continually enhance the AI engineering function.
Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge
for task adaptation and deployment.
Technical Skills:
Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn)
and deep learning frameworks (PyTorch, TensorFlow)
Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt
engineering techniques
Experience with big data processing using Spark for large-scale data analytics
Version control and experiment tracking using Git and MLflow
Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust,
expertise in microservices, test-driven development, and concurrency processing.
DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation),
CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and
service mesh implementations.
LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and
FastAPI, model quantization techniques, and vector database management.
MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with
model serving tools like TorchServe or TF Serving, and automated model retraining.
Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network
security for ML systems.
LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation
services, and optimizing LLMs for performance and security.
General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face,
TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.
Experience in creating LLD for the provided architecture.
Experience working in microservices based architecture.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Kezan incLocation(s): Noida, Gurugram
Keyskills: Python genetic AI Cloud Snowflake rag Spark AWS SQL
Similar positions
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in