LLM - Python for Machine Learning

About Client:

Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications.

Job Title: LLM - Python for Machine Learning

Location: Pan India

Experience: 4+ yrs

Job Type : Contract to hire

Notice Period:- Immediate joiner

What does day-to-day look like:

• Develop and maintain ML solutions, including data pipelines, model training, evaluation, and optimization.

• Collaborate with business stakeholders to gather and clarify requirements

• Translate business requirements into ML code that accurately reflects business logic

• Write efficient, maintainable, and well-documented ML solutions

• Participate in code reviews and follow established development standards

• Effectively analyze and select the best algorithms, optimize ML solutions for performance improvement and accuracy

• Create and maintain technical documentation for developed solutions

• Support testing activities and resolve data-related issues

Required Qualifications:

• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.

• 4+ years of hands-on ML development experience

• Proficiency in at least some of the ML areas and frameworks, including:

• Supervised learning (classification, regression, …)

• Unsupervised learning (clustering, anomaly detection, …)

• Time-series analysis

• Natural Language Processing (NLP)

• Computer Vision (CV)

• Statistical modeling

• Ability to understand and apply different models to real-world use cases

• Hands-on experience with DS and ML solutions in production environments

• Strong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metrics

• Proficiency in Python and its common data science libraries (e.g., Pandas, NumPy, Scikit-learn)

Preferred Qualifications:

• Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).

• Experience with cloud data platforms (Databricks, AWS, etc.)

• Knowledge of MLOps principles and tools for model deployment and monitoring

• Hands-on experience with PySpark and Databricks Platform

• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

• Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench