Machine Learning Engineer

Location:

Pune Experience:

3–8 years Role Overview: We are seeking a highly skilled

AI/ML Developer

to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in modern ML frameworks, cloud platforms, and emerging technologies such as generative AI, LLMs, and MLOps. Key Responsibilities: Design and implement machine learning models for predictive analytics, NLP, computer vision, and recommendation systems. Develop and fine-tune

Large Language Models (LLMs)

and

Generative AI

applications. Build scalable ML pipelines using

MLOps

best practices (CI/CD for ML). Optimize models for performance, accuracy, and cost efficiency. Collaborate with data engineers and product teams to integrate ML solutions into production systems. Stay updated with the latest AI/ML trends and research to drive innovation. Required Skills & Qualifications: Strong programming skills in

Python

(and optionally

R ,

Java , or

C++ ). Expertise in ML frameworks:

TensorFlow ,

PyTorch ,

Scikit-learn ,

Hugging Face Transformers . Experience with

Generative AI ,

LLMs , and

Prompt Engineering . Knowledge of

Deep Learning ,

NLP ,

Computer Vision , and

Reinforcement Learning . Familiarity with

MLOps tools :

MLflow ,

Kubeflow ,

Airflow ,

Docker ,

Kubernetes . Cloud experience:

AWS SageMaker ,

Azure ML , or

Google Vertex AI . Strong understanding of

data preprocessing ,

feature engineering , and

model evaluation . Proficiency in

API development

and

microservices architecture

for ML deployment. Nice-to-Have Skills: Experience with

Vector Databases

(e.g., Pinecone, Weaviate) for AI search. Knowledge of

Graph Neural Networks (GNNs)

and

Federated Learning . Familiarity with

Responsible AI ,

Bias Mitigation , and

Explainable AI (XAI) . Exposure to

Edge AI

and

IoT-based ML solutions .