Skills
Required
ai
ml
design
learning
tensorflow
pytorch
data
preprocessing
model
rest
fastapi
flask
docker
analyze
sql
monitoring
logging
programming
python
software
architecture
microservices
api
git
github
tuning
numpy
apache
aws
gcp
deployment
kubernetes
algebra
statistics
communication
collaboration
mlflow
vision
security
processing
kafka
development
Job
Description
Job Description We are seeking an AI/ML Engineer - I to design, develop, and deploy machine learning models and AI solutions. This role involves working with modern ML frameworks, large language models (LLMs), and building scalable AI applications. Key Responsibilities Develop and deploy machine learning models using TensorFlow, PyTorch, and Scikit-Learn Build end-to-end ML pipelines from data preprocessing to model serving Work with LLMs, implement RAG systems, and develop AI-driven applications Create REST APIs using FastAPI or Flask and deploy using Docker and Kubernetes Process and analyze large datasets using SQL, Pandas, and Spark Implement MLOps practices such as model monitoring, logging, and versioning Required Skills Programming & Development Python – Strong proficiency, including OOP principles Software Architecture – Familiarity with frontend/backend components, microservices, and API design Version Control – Proficient with Git and platforms like GitHub or GitLab ML/AI Technologies ML Frameworks – TensorFlow, PyTorch, Scikit-Learn, XGBoost LLM Expertise – Understanding of transformer architectures, fine-tuning, and prompt engineering Vector Databases – Experience with Pinecone, Weaviate, or Chroma for embeddings and similarity search Data & Infrastructure Data Handling – Pandas, NumPy, SQL, Apache Spark Cloud Platforms – Experience with AWS, GCP, or Azure Deployment – Docker, Kubernetes, FastAPI, Flask, REST APIs Mathematical Foundation Solid understanding of linear algebra, statistics, and calculus as applied to ML algorithms Soft Skills Strong problem-solving abilities, clear technical communication, and collaboration across teams Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, or a related field Approximately 1 year of experience in ML/AI development Familiarity with MLOps tools like MLflow or Weights & Biases Knowledge of computer vision and/or NLP applications Additional Technical Areas Understanding of data privacy and security best practices Experience with streaming data processing tools such as Kafka or Apache Beam Educational Qualifications Bachelor’s degree in B.Tech/B.E Job Types: Full-time, Permanent Pay: ₹477,103.79 - ₹507,202.10 per year Benefits: Provident Fund Schedule: Monday to Friday Supplemental Pay: Yearly bonus Experience: AI Development : 1 year (Preferred) ML Engineer : 1 year (Preferred) Work Location: In person
