AI / ML Engineer

0 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Education

AI / ML Engineer -

Required Skills & Qualifications:

Bachelor’s or Master’s in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field

Technical Skills

Proficient in

Python

and ML libraries: scikit-learn, XGBoost, pandas, NumPy, matplotlib, seaborn, etc.Strong understanding of

machine learning algorithms

and

deep learning architectures

(CNNs, RNNs, Transformers, etc.)Hands-on with

TensorFlow

,

PyTorch

, or

Keras

Experience in

data preprocessing

,

feature selection

,

EDA

, and

model interpretability

Comfortable with

API development

and deploying models using Flask, FastAPI, or similarExperience with

MLOps

tools

like

MLflow

,

Kubeflow

,

DVC

,

Airflow

, etc.Familiarity with

cloud platforms

like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure MLStrong understanding of

version control

(Git), CI/CD, and containerization (Docker)

Bonus Skills (Good To Have)

NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers)Computer Vision experience using OpenCV or YOLO/DetectronKnowledge of Reinforcement Learning or Generative AI (GANs, LLMs)Experience with vector databases (e.g., Pinecone, Weaviate) and LangChain for AI agent buildingFamiliarity with data labeling platforms and annotation workflows

Soft Skills

Analytical mindset with problem-solving skillsStrong communication and collaboration abilitiesAbility to work independently in a fast-paced, agile environmentPassion for AI/ML and eagerness to stay updated with the latest developmentsSkills: fastapi,pandas,ml libraries,pinecone,docker,langchain,matplotlib,yolo,numpy,yolo/detectron,nltk,machine learning,spacy,vertex ai,feature selection,lambda,gans,tensorflow,airflow,weaviate,data labeling,nlp frameworks,seaborn,python,git,ai,cnns,xgboost,model interpretability,deep learning architectures,dvc,generative ai,opencv,s3,detectron,aws,data preprocessing,api development,ci/cd,gcp,scikit-learn,transformers,vector databases,mlops tools,mlflow,sagemaker,machine learning algorithms,hugging face transformers,kubeflow,eda,annotation workflows,llms,containerization,reinforcement learning,ml,pytorch,flask,rnns,azure ml,keras

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