Independent Contractor Opportunity – Associate Data Scientist (India) Remote / Contract Basis Job ID: DD-11001 Open Positions: 1 (2 positions already filled) ⚠️ Very Important Note: Before applying, candidates must carefully review this job description. Only those whose profiles closely match the listed qualifications and requirements should apply. We are a U.S.-based company looking to engage an India-based independent contractor to contribute to our AI/ML research and development initiatives. This is a consultancy role, not a formal employment position, and will be governed by a consulting agreement detailing confidentiality, deliverables, intellectual property rights, and payment terms. Key Responsibilities As an independent contractor, your duties will include: • Building, training, and deploying machine learning models—primarily in PyTorch—on on-prem servers. • Running and adapting models from external sources (e.g., Kaggle, research papers) and assisting in developing original models tailored to our needs. • Supporting large language model (LLM) projects, including experimentation, fine-tuning, and evaluation. • Collaborating with senior engineers and data scientists to implement scalable systems. • Performing data preprocessing, feature engineering, and experimentation pipeline setup. • Experience with other languages (e.g., C, Verilog, VHDL) is a plus, though the primary focus will remain on Python. • Keeping current with ML research, frameworks, and tools. Required Qualifications • B.Tech/BE in Computer Science, Data Science, AI, or a related field. • 1+ years of hands-on experience in machine learning (internship experience not counted). • Strong programming skills in Python and PyTorch. • Familiarity with ML model training, validation, and tuning. • Comfort with managing datasets and experimental code. • Understanding of basic ML models (FFNNs, CNNs, RNNs, Transformers). • Experience working on Linux-based servers and resource-constrained environments. Preferred Qualifications • Familiarity with LLM tools (e.g., Hugging Face, OpenAI, Claude, Gemini) and knowledge of prompt engineering. • Experience with community-based model development (e.g., Kaggle). • Exposure to cloud platforms (AWS, GCP), though primary deployment is on-prem. • Knowledge of MLOps tools (e.g., MLflow, Weights & Biases). • Basic understanding of C or willingness to engage with low-level systems. Soft Skills • Analytical thinking and attention to detail. • Eagerness to learn and receive mentorship. • Strong communication skills and collaborative mindset. Compensation • Monthly consulting fee: $800 – $1,200 USD, slightly negotiable depending on experience and interview performance. • Contractors are responsible for any applicable taxes or regulatory filings in their jurisdiction. Legal and Administrative Notes • This is a contract/consulting role. You will not be an employee of the company. • You will be expected to sign a consulting agreement covering deliverables, timelines, IP rights, confidentiality, and payment terms. • You will be paid monthly. • Payment will be made via international wire transfer or another mutually agreed-upon method. Performance Tracking and Communication To ensure accountability and maintain clear visibility into the contractor's contributions, we will implement the following practices: • Daily Standups: Short updates to align on progress and blockers. • GitHub Activity Monitoring: Regular reviews of code commits and repository contributions. • Slack Monitoring: Oversight of communication and responsiveness within designated work channels. • Sprint-Based Reviews: Periodic evaluations aligned with project sprints to assess deliverables and progress.

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Associate Data Scientist - AI/ML