Associate AI/ML Engineer (India)

Associate AI/ML Engineer (India)

13 Oct
|
SkySys
|
India

13 Oct

SkySys

India

Role: Associate AI/ML Engineer

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: 6-12 months+

Work Schedule: 8 hours/day (Mon-Fri)

Location: Hybrid 2x/week - Pune, India

Project Description

The Platform organization is seeking an early-career Associate AI/ML Engineer to support the development, testing, and implementation of practical artificial intelligence and machine learning solutions. This role is designed for a junior engineer with strong fundamentals, curiosity, and the ability to learn quickly in a collaborative engineering setting.

The ideal candidate is coachable, adaptable, execution-oriented, and comfortable communicating progress, questions, and technical concepts clearly. The engineer will work closely with senior engineers, product partners, and data-focused teams to translate defined requirements into reliable, maintainable solutions.

Duties/Day to Day Overview

- Contribute to the design, development, testing, and deployment of AI/ML features and supporting software components under the guidance of senior team members.
- Prepare, clean, transform, and validate data used for model development, experimentation, and evaluation.
- Build and evaluate baseline machine learning models using established techniques and clearly defined success criteria.
- Write clean, maintainable Python code and participate in code reviews, testing, debugging, and documentation.
- Assist with integrating models or AI-enabled capabilities into applications, APIs, workflows, or data pipelines.
- Monitor experiments and model outputs, identify issues, and communicate findings with appropriate context and supporting evidence.
- Break down assigned work into clear tasks, execute reliably, and raise risks or blockers early.
- Collaborate effectively in an Agile engineering team and participate in planning, stand-ups, demos, and retrospectives.
- Quickly learn new tools, concepts, and business context, then apply feedback to improve delivery quality.

Top Requirements (Must Haves)





- Approximately 6-12 months of total professional, internship, co-op, or equivalent hands-on experience in AI/ML, data science, or software engineering is strongly preferred. Candidates with 1-2 years of total experience may be considered; candidates with more than 2 years of total experience will not be considered for this associate-level role.
- Sound understanding of core machine learning concepts, including supervised and unsupervised learning, feature preparation, training and validation, overfitting, and common evaluation metrics.
- Working knowledge of Python and common data or machine learning libraries such as pandas, NumPy, and scikit-learn.
- Basic SQL skills and experience working with structured datasets.
- Foundational knowledge of software engineering practices, including version control, modular code, testing, debugging, and documentation.
- Ability to explain technical work clearly, ask thoughtful questions, and communicate status, decisions, and blockers.
- Demonstrated ability to absorb new concepts quickly, follow through on commitments, and execute with attention to detail.

Preferred Qualifications

- Hands-on academic, internship, or project experience taking an ML use case from data preparation through model evaluation.
- Exposure to deep learning or generative AI concepts, libraries, or APIs.
- Familiarity with cloud platforms, notebooks, containers, REST APIs, or CI/CD practices.
- Experience using Git and collaborating through pull requests or code reviews.
- Awareness of responsible AI practices, including data quality, privacy, bias, explainability, and model limitations.

Success Profile

- Coachable and adaptable: actively seeks feedback and applies it quickly.
- Fast learner: grasps unfamiliar technical and business concepts with limited repetition.
- Execution-oriented: converts direction into completed work and maintains momentum.
- Strong communicator: communicates clearly with both technical and non-technical partners.
- Collaborative and accountable: works well with others, owns deliverables, and escalates blockers promptly.

📌 Associate AI/ML Engineer (India)
🏢 SkySys
📍 India

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