LLM - Python for Machine Learning at Gramian Consulting Group

, , Egypt -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Pipelines, Model Training, Model Evaluation, Optimization, Business Requirements, Python, Data Cleaning, Feature Engineering, Statistical Modeling, Natural Language Processing, Computer Vision, Time-Series Analysis, Unsupervised Learning, Supervised Learning, Collaboration

Industry

IT Services and IT Consulting

Description

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are seeking skilled and experienced ML Developers to join our innovative team. The ideal candidate will have strong hands-on ML experience with the ability to understand complex data models and translate business requirements into efficient solutions that capture business context accurately. Participation in machine learning competitions is a strong plus. Commitments Required : 40 hours per week with 4 hours of overlap with PST. The project will last FIVE weeks. Start date is ASAP. Locations: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico Interview Process: Two rounds of interviews (60 min technical + 30 min technical & cultural discussion) 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 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) Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench

Responsibilities

Develop and maintain machine learning solutions, including data pipelines and model training. Collaborate with business stakeholders to gather requirements and translate them into efficient ML code.