Machine Learning Engineer - Python

About Client :

Our client is a Palo Alto-based AI infrastructure and talent platform founded in 2018. It helps companies connect with remote software developers using AI-powered vetting and matching technology. Originally branded as the Intelligent Talent Cloud,enabled companies to spin up their engineering dream team in the cloud by sourcing and managing vetted global talent.
- Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.

In recent years, they have evolved to support AI infrastructure and AGI workflows, offering services in model training, fine-tuning, and deployment-powered by their internal AI platform, ALAN, and backed by a vast talent network. They reported $300 million in revenue and reached profitability. Their growth is driven by demand for annotated training data from AI labs, including major clients like OpenAI, Google, Anthropic, and Meta.

Job Title : Python for Machine Learning

Location : Pan India

Experience : 5+ yrs

Employment Type : Contract to hire

Work Mode : Remote

Notice Period : Immediate joiners

Job Description :

Required Qualifications :

- 3+ years of hands-on DS/ML development experience.

- Proficiency in at least some of the DS/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

- 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.

- Strong knowledge of data analysis pipelines and data visualization techniques.

- Experience translating business requirements into DS/ML solutions.

Preferred Qualifications :

- 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.

Key Responsibilities :

- Work on various ML domains including supervised learning, unsupervised learning, NLP, computer vision, and time-series analysis.

- Build robust data processing and model training pipelines.

- Apply statistical modeling techniques to solve real-world business problems.

- Perform data cleaning, wrangling, feature engineering, and model optimization.

- Translate complex business requirements into scalable DS/ML solutions.

- Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders.

- Visualize results using modern data visualization tools and techniques.

- Keep up with emerging trends and technologies in the ML/AI space.