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Casepoint
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AI/ML Engineer

AI/ML Engineer

Casepoint

0 years

1 - 3 Lacs

surat

Posted:4 hours ago| Platform: GlassDoor logo

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Skills Required

ai ml design learning drive data model tuning retrieval engineering openai preprocessing evaluation programming python numpy pytorch storage aws gcp azure compensation collaborative

Work Mode

On-site

Job Type

Part Time

Job Description

Surat, Gujarat

Work Type: Full Time

Hi there!

Greetings from Casepoint Pvt. Ltd.

Company website: casepoint.com

No. of positions vacant: 2

Job Description

We are looking for a passionate AI/ML Engineer who can design, develop, and deploy scalable machine learning and generative AI solutions. You will work with large datasets to build intelligent systems that enhance our products and drive data-driven decision-making across the organization.

Key Responsibilities:

Design, develop, and deploy machine learning and AI models, with a strong focus on Generative AI applications.

Implement model fine-tuning, Retrieval Augmented Generation (RAG), and prompt engineering techniques.

Integrate and optimize open-source and commercial AI models (e.g., Hugging Face, OpenAI, Claude, Gemini, LlamaIndex, LangChain).

Build and manage data pipelines for ingestion, transformation, and model training.

Enhance data collection and preprocessing methods to improve model accuracy and robustness.

Work with vector databases and embeddings to enable semantic search and intelligent retrieval.

Collaborate with cross-functional teams to integrate ML models into production systems and monitor performance.

Develop and maintain automated model evaluation, retraining, and anomaly detection systems.

Conduct experiments, evaluate model results, and present insights clearly to stakeholders.

Required Skills:

Strong programming skills in Python and libraries such as NumPy, Pandas, Scikit-learn, and PyTorch/TensorFlow.

Hands-on experience with Generative AI frameworks, model fine-tuning, and RAG pipelines.

Experience integrating LLMs via APIs or frameworks (LangChain, LlamaIndex, etc.).

Familiarity with vector storage solutions (e.g., FAISS, Pinecone, Chroma).

Sound understanding of data preprocessing, feature engineering, and model evaluation techniques.

Exposure to cloud environments (AWS, GCP, or Azure) and MLOps tools is a plus.

Compensation & Culture:

We believe great culture builds great products. We foster a collaborative and growth-oriented environment where innovation thrives. Our team members are valued, empowered, and rewarded with competitive compensation and continuous learning opportunities.

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AI/ML Engineer