Looking for an AI / ML Engineer from India for our Enterprise Client
Budget: $20 – $30 USD
Looking for an AI / ML Engineer from India for our Enterprise Client (INDIVIDUALS ONLY). Teams/Enterprises/Consultancies/Agencies please stay away.
Project Duration: 3-6 months
Location: Remote/WFH.
Hours Required: 40 hrs/week
Responsibilities
• Designing ML systems.
• Researching and implementing ML algorithms and tools.
• Selecting appropriate data sets.
• Picking appropriate data representation methods.
• Identifying differences in data distribution that affects model performance.
• Verifying data quality and performing data cleaning, Transforming and converting data science prototypes.
• Performing statistical analysis.
• Running machine learning tests.
• Using results to improve models.
• Training and retraining systems when needed.
• Extending machine learning libraries.
• Developing machine learning apps according to client requirements.
Required Skills
• Good knowledge of Python or R, SQL Advanced math and statistics skills, surrounding subjects such as linear algebra, calculus, and Bayesian statistics.
• Advanced degree in computer science, math, statistics, or a related degree.
• Master's degree in machine learning, neural networks, deep learning, or related fields.
• Strong analytical, problem-solving, and teamwork skills.
• Software engineering skills.
• Experience in data science.
• Experience in working with ML frameworks.
• Experience in working with ML libraries and packages.
• Basic Knowledge of the entire ML lifecycle including deployments Understanding of data structures, data modeling, and software architecture.
• Knowledge of computer architecture.
Project Duration: 3-6 months
Location: Remote/WFH.
Hours Required: 40 hrs/week
Responsibilities
• Designing ML systems.
• Researching and implementing ML algorithms and tools.
• Selecting appropriate data sets.
• Picking appropriate data representation methods.
• Identifying differences in data distribution that affects model performance.
• Verifying data quality and performing data cleaning, Transforming and converting data science prototypes.
• Performing statistical analysis.
• Running machine learning tests.
• Using results to improve models.
• Training and retraining systems when needed.
• Extending machine learning libraries.
• Developing machine learning apps according to client requirements.
Required Skills
• Good knowledge of Python or R, SQL Advanced math and statistics skills, surrounding subjects such as linear algebra, calculus, and Bayesian statistics.
• Advanced degree in computer science, math, statistics, or a related degree.
• Master's degree in machine learning, neural networks, deep learning, or related fields.
• Strong analytical, problem-solving, and teamwork skills.
• Software engineering skills.
• Experience in data science.
• Experience in working with ML frameworks.
• Experience in working with ML libraries and packages.
• Basic Knowledge of the entire ML lifecycle including deployments Understanding of data structures, data modeling, and software architecture.
• Knowledge of computer architecture.