Machine Learning Engineer

🕒 December 8, 2025

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 69%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NEURALGO Solutions

WebsiteLinkedInAll Job Openings

1 - 1 employees

Founded 2020

💳 Fintech

🤖 Artificial Intelligence

💸 Finance

Fintech • Artificial Intelligence • Finance

NEURALGO Solutions is a fintech company that builds algorithmic, neural-network–based financial trading and investment tools. It offers high-frequency trading, market analysis and prediction, and longer-term investment opportunities aimed at retail investors, emphasizing access for people with small capital. The firm combines software development, data analytics, financial analytics, and AI/ML to deliver market-change prediction and algorithmic trading solutions.

📋 Description

• Develop training and deployment pipelines for machine learning. • Implement model compression algorithms, and productionize machine learning research. • Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. • Fine-tune pre-trained LLMs for specific tasks and domains. • Conduct research on new techniques for improving the performance and capabilities of generative AI models. • Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. • Evaluate and analyse the performance of ML/generative AI models. • Stay up to date on the latest advancements in generative AI research. • Facilitate the development and deployment of proof-of-concept Generative AI systems.

🎯 Requirements

• Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. • 3-5 years of experience in generative AI or related fields. • Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. • Strong programming skills in Python. • Familiarity with RAG and other techniques for building generative models. • Extensive experience with Git, Docker and a good understanding of Linux for managing servers. • Experience with cloud-based ecosystems, especially AWS ML/GenAI services. • Exposure to ML/GenAI frameworks and tools. • Excellent communication and collaboration skills. • Ability to work independently and in a team-oriented environment. • Methodical and meticulous towards work and planning.

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development

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