Senior Machine Learning Engineer

4 days ago

Hyderabad, Telangana, India Fastpix Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Machine Learning Advisor

Location: Remote

Position Type: Part-Time (20 hours/week)

Experience Level: Senior (8 to 10+ years)

About the Role:

We are looking for a hands-on Machine Learning Advisor who can both build initial models and mentor our junior engineers as they refine and productionize them. This is a part-time role designed for a senior professional who enjoys rolling up their sleeves to prototype and code, while also providing strategic guidance, architecture oversight, and mentorship.You will help us establish a solid ML foundation by:

  • Building and validating the first versions of our models.
  • Setting up the right processes, frameworks, and best practices.
  • Working closely with junior team members to fine-tune, scale, and optimize models.

This role is ideal for someone who thrives in a builder + advisor hybrid capacity, balancing hands-on contributions with leadership and mentorship.

Key Responsibilities

  • Hands-On Model Development

  • Design and build the initial versions of ML models (regression, classification, clustering, or deep learning, depending on problem type).

  • Perform feature engineering, experimentation, and hyperparameter tuning.

  • Develop clean, scalable code for model training and inference.

  • Mentorship & Refinement

  • Work with junior ML engineers to iterate, refine, and fine-tune models.

  • Review their code, guide debugging, and introduce advanced techniques.

  • Transfer knowledge and upskill the team for long-term ownership.

  • Architecture & Best Practices

  • Define the ML project workflow (from data prep to deployment).

  • Set up reproducibility, versioning, and experiment tracking.

  • Recommend scalable approaches for data pipelines and model serving.

  • Collaboration

  • Partner with product and engineering to align ML solutions with business needs.

  • Communicate model performance, limitations, and trade-offs clearly to both technical and non-technical stakeholders.

  • 8 to 10+ years of professional experience in machine learning, including building and deploying models.

  • Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and ML frameworks (TensorFlow, PyTorch, or Keras).
  • Experience designing end-to-end ML workflows, from feature extraction to deployment.
  • Solid knowledge of ML algorithms, evaluation metrics, and optimization techniques.
  • Hands-on experience with SQL and big data tools (Spark, PySpark).
  • Familiarity with ML lifecycle tools (MLflow, Weights & Biases, DVC, Git).
  • Strong track record of mentorship and technical leadership.

Preferred Qualifications (Good to Have)

  • Experience with cloud ML platforms (AWS SageMaker, GCP Vertex, Azure ML).
  • Exposure to deploying ML models as APIs (FastAPI, Flask).
  • Familiarity with containerization (Docker, Kubernetes).
  • Contributions to open-source ML projects or publications.

What We Offer

  • A part-time, flexible role with high impact (20 hours/week).
  • The opportunity to both build and mentor  shaping the foundation of our ML team.
  • A collaborative environment with motivated engineers eager to learn.
  • Competitive compensation tailored for senior part-time talent.Role & responsibilities

Preferred candidate profile: Who are interested in Part time to handle a team and who can join in a week notice.

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