NAV Fund Services
Brief Job Description:
Develop and deploy cutting-edge machine learning (ML) models, focusing on NLP, computer vision, and advanced deep learning techniques.
Collaborate with business teams to gather requirements, ensuring AI/ML solutions align with
organizational objectives.
Analyze large datasets to uncover patterns, trends, and actionable insights.
Implement feature engineering, ensemble learning approaches, and fine-tuning of ML models for
optimal performance.
Flow, Py
Torch, and Hugging Face.
Leverage cloud platforms (AWS, Azure, or Google Cloud) to deploy scalable and efficient ML solutions.
Stay abreast of advancements in AI/ML technologies, including LLMs, Lang
Chain, and VLLM, to
incorporate innovative practices.
Educational Qualification: B.E or B.Tech
Experience: 4-6 years
Work Experience and Skills required:
4 to 6 years of overall experience in developing and deploying machine learning models.
Proficiency in Python and experience with ML frameworks like Tensor
Flow, Py
Torch, and scikit-learn.
Expertise in NLP, embeddings, transformers, and libraries such as NLTK and Hugging Face
Experience with advanced techniques like ensemble learning, feature engineering, and model fine
tuning
Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for deploying machine learning models.
Strong background in data preprocessing, neural networks, and deep learning approaches.
Excellent problem-solving and collaboration skills, with familiarity in domains like fintech, automation pipelines, and image processing.
Verified Listing
This role has been verified for authenticity, market-rate compensation, and remote eligibility.
Get the latest updates on AI-powered hiring, career growth, and technical deep-dives delivered to your inbox.