Machine Learning Engineer

We are looking for talented Python Developers with 3 - 6 years of hands-on experience in Natural Language Processing (NLP) and Generative AI Models to join our growing team working on innovative projects in enterprise scale AI applications and solutions.

Responsibilities:

• Design, evaluation, and best fit analysis of NLP / ML Models
• Design, fine-tuning, and deployment of open-source and API-based LLMs to solve real-world use cases
• Engage with clients for data preparation process, the subtleties of the fine-tuning procedure, and the challenges it presents.
• Lead efforts to address challenging data science and machine learning problems, spanning predictive modeling to natural language processing, with a significant impact on organizational success.
• Building data ingestion pipelines, handling various data formats such as JSON and YAML.

Technical Qualifications:

• Strong in data collection, curation, and dataset preparation for ML Models (Classifiers / Categorization).
• Demonstrable expertise in area of data science or analytics (e.g., machine learning, deep learning, NLP, predictive modeling and forecasting, statistics).
• Strong experience in machine learning (unsupervised and supervised techniques) and experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, Attention, Generative Models etc would be a plus.
• SQL expertise for data extraction, transformation, and analysis.
• Experience in building and maintaining scalable APIs using FastAPI / Flask frameworks.
• Proficiency in Python, with experience in libraries such as PyTorch or TensorFlow.
• Solid understanding of data structures, embedding techniques, and vector search systems.
• Experience in SQL / NoSQL databases including PostgreSQL, MySQL and MongoDB.
• Proficiency in Graph Databases Neo4j.

Generic Qualifications:

• Comfortable working with cross-functional teams product managers, data scientists, and other developers to deliver quality software solutions.
• Ensure software quality through code reviews, unit testing, and best practices for DevOps and CI/CD pipelines.
• Ability to manage time wisely across projects and competing priorities, meet agreed upon deadlines, and be accountable for work.
• Able to write maintainable and functionally tested modules.
• You should not hesitate in learning and building innovative solutions in newer technology stacks.

Others:

Candidate should be willing to relocate or commute to North Bangalore (Yelahanka) for work.