Consultant - Associate Data Scientist (AI/ML)

1 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Independent Contractor Opportunity – Associate Data Scientist (India)

Remote / Contract Basis


Job ID : DD-11001


Open Positions: 1 (2 positions already filled)


Very


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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