Senior AI and Machine Learning Scientist

5 hours ago

Ahmedabad, Gujarat, India MSBC Group Full time
Join MSBC as an AI/ML Engineer – Deliver Real-World Intelligent Systems

At MSBC, we design and implement practical AI solutions that solve real business problems across industries. As an AI/ML Engineer, you will play a key role in building and deploying machine learning models and data-driven systems that are used in production. This role is ideal for engineers with solid hands-on experience delivering end-to-end AI/ML projects.

Programming Languages – Python (FastAPI, Flask, Django)

• Machine Learning Libraries – scikit-learn, XGBoost, TensorFlow or PyTorch

• Data Pipelines – Pandas, Spark, Airflow

• Model Deployment – FastAPI, Flask, Docker, MLflow

• Cloud Platforms – AWS, GCP, Azure (any one)

• Design and develop machine learning models to address business requirements.

Build and manage data pipelines for training and inference workflows.

Train, evaluate, and optimize models for accuracy and performance.

Work with structured and unstructured data from various sources.

Ensure robust monitoring, retraining, and versioning of models.

Contribute to architecture and design discussions for AI/ML systems.

Document processes, results, and deployment procedures clearly.

Collaborate with software engineers, data engineers, and business teams.

Work with open-source models – handling, deployment, fine-tuning, and optimization – especially for privacy-focused/on-prem deployments.

Apply ML theory to design end-to-end AI architectures beyond simple API consumption.

Contribute across multiple AI subdomains including NLP, Computer Vision, Signal/Audio Processing, and Multimodal systems.

Stay ahead of emerging AI trends, demonstrating technical curiosity through self-driven projects, research, or open-source contributions.

4+ years of hands-on experience delivering ML solutions in production

~ Proven track record across multiple AI subdomains (NLP, CV, Generative AI, Signal/Audio, Multimodal)

~ Strong programming skills in Python with deep understanding of ML fundamentals

~ Experience in supervised & unsupervised learning, regression, classification, clustering

~ Practical expertise in open-source model handling, fine-tuning, optimization, and deployment

~ Solid knowledge of data preprocessing, feature engineering, and model evaluation

~ Experience with APIs, containers, and cloud platforms (AWS/GCP/Azure)

~ Excellent English communication skills for collaboration with distributed teams

~ Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field

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