Python trainer

Data Science (SME)

FACE Prep is India’s leading employability and industry-aligned education company. For over 17 years, we have partnered with higher education institutions to bridge the gap between academia and industry.

● Worked with 2,000+ colleges and universities across India

● Trained 6+ million students across disciplines

● Market leaders in:

● Employability skills & placement readiness

● Industry-aligned academic papers(credit-bearing)

● Full-scale industry-aligned degree programs with universities

● Pan-India operations, headquartered in Coimbatore

● Young, energetic, mission-driven team

● Fast-growing organization with headcount expected to cross 1,000 employees in the next financial year

At FACE Prep, people are the platform on which outcomes are built.

Position: Data Science (SME)

Location: Coimbatore

Duration: Full-Time

Department: Training & Development

Experience: Minimum 2 Years

Role Description :

The Data Science Subject Matter Expert (SME) is a full-time, on-site role based in Coimbatore. The SME will design and deliver data science curricula, including lectures, hands-on labs, and project-based learning for students preparing for tech careers. Daily responsibilities include creating educational content, developing problem sets and case studies, mentoring learners on data analysis and model-building, and reviewing student work to provide constructive feedback. The SME will collaborate with other trainers and the product team to align content with current industry practices and hiring requirements. The role also involves analyzing learner performance data, refining teaching strategies, and occasionally contributing to workshops, bootcamps, and online learning materials.

Requirements:

• Strong foundation in Statistics and Data Science, with the ability to explain complex concepts clearly and practically.

• Hands-on experience in Data Analytics and Data Analysis, including working with real-world datasets and deriving actionable insights.

• Excellent Analytical Skills for problem-solving, designing assignments, and guiding learners through data-driven decision-making.

• Proficiency in common data science tools and languages (e.g., Python/R, SQL, data visualization tools such as Tableau/Power BI).

• Prior experience in teaching, mentoring, corporate training, or curriculum development is highly beneficial.

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or related discipline.

• Ability to communicate effectively with diverse learner groups and collaborate within a multidisciplinary team.

• Exposure to machine learning concepts, model evaluation, and deployment practices is a plus.

IMMEDIATE JOINERS REQUIRED

Apply here:

https://forms.gle/9Ls5pzQiGg6sP5C46

What is the role?

Some people come alive when they are designing a learning experience—thinking through what participants need, how a session should flow, and what activity might help a concept finally click. Others are energised by being in the room—asking the right questions, responding to the group, and creating a space where people feel comfortable participating, experimenting, and learning.

We are looking for someone who is excited by both.

Through our Capacity Building vertical, we help nonprofit teams build the confidence, practical skills, and habits they need to use data effectively. We do this through ready-to-run workshops, customised learning engagements, and longer cohort-based programmes such as our Data Literacy Program.

As demand for our workshops and programmes grows, we are looking for someone who can work closely with the Lead, Capacity Building to design and facilitate high-quality learning experiences, develop new offerings, and help build the systems and knowledge needed to scale the vertical.

We do not expect you to be equally accomplished at learning design and facilitation from day one. You may be a stronger designer who wants more opportunities to facilitate, or an experienced facilitator who wants to become more intentional about learning design. What matters is that you have experience in one, some exposure to the other, and the curiosity and learning mindset needed to develop both capabilities.

Who are we?

Goalkeep Advisors is a data consultancy and we believe that every organization should be able to measure, communicate and deepen their impact with confidence. We work with social impact organisations through three core verticals:

1. Custom MEL Projects: Helping organisations design outcomes frameworks and strengthen how they collect, analyse, visualise, and use data.
2. Goalkeep Kickstarter: Building practical data systems and processes that enable organisations to make better use of their information.
3. Capacity Building Engagements: Equipping nonprofit teams with the confidence, skills, and habits to use data through workshops, customised programmes, and longer learning journeys.

Over the past six years, we’ve partnered with 50+ nonprofits across education, health, and livelihood to help them transition into data-driven organizations.

What will be your key responsibilities?

1. Design learning experiences and resources

• Understand participant and organisational needs, and design engaging workshops and programmes through practical, contextual and interactive session plans
• Create clear and thoughtfully designed decks, participant workbooks, templates, and other supporting resources.
• Adapt and improve learning experiences based on the audience, organisational context, and participant feedback.

2. Facilitate engaging learning spaces

• Facilitate online and in-person workshops, cohort programmes, and other adult-learning experiences.
• Create participatory learning spaces where people feel heard, engaged, and confident exploring data and MEL concepts in relation to their own work and realities.
• Reflect on each facilitation experience and use feedback to continuously strengthen the participant experience.

3. Strengthen and grow the Capacity Building vertical

• Work closely with the Lead, Capacity Building to research, design, test, and refine new capacity-building offerings.
• Document programme insights, participant feedback, and facilitation learnings to strengthen future programmes.
• Lead end-of-workshop and end-of-programme reporting by synthesising participant progress, feedback, and impact findings into clear reports and narratives.
• Support the planning and coordination required to deliver engagements smoothly and build the systems and resources needed to scale the vertical.

What you must have?

• At least 2 years of experience in learning design or facilitation for adults
• Experience working with adult learners in the nonprofit or social impact sector.
• A foundational understanding of MEL concepts, including Theory of Change, indicators, data collection, analysis, and the use of data for programme learning and decision-making.
• Professional proficiency in English, with strong written and verbal communication skills.
• Ability to create clear, well-structured presentations, learning materials, and reports.
• Willingness to travel for in-person workshops and programmes when required.

What’s in it for you?

1. The opportunity to see your work directly influences how nonprofit professionals understand and use data.
2. The opportunity to join and help shape a growing vertical at an early stage.
3. Meaningful opportunities to develop as both a learning designer and a facilitator.
4. Exposure to a wide range of nonprofit organisations, programme contexts, and data and MEL challenges.
5. The space to research, experiment with, and develop new capacity-building offerings.
6. Being part of a close-knit, mission-driven team working to strengthen the social sector’s ability to use data for impact.

We are a San Francisco-based AI infrastructure company working with leading frontier AI labs to build post-training data and evaluation infrastructure for foundation models. We are hiring a Python Developer to create high-quality datasets, reinforcement learning environments, and benchmarking pipelines used to improve and evaluate state-of-the-art LLMs. This is a remote role with flexible working hours.

Responsibilities

* Create and curate datasets for LLM post-training (SFT, RLHF, RL, preference optimization).

* Build and maintain RL environments for agent evaluation.

* Develop Python tooling for dataset generation, validation, and transformation.

* Evaluate models on custom benchmarks and testing pipelines.

* Collaborate with research and engineering teams to deliver client-specific post-training datasets.

* Work with terminal-first development workflows and cloud infrastructure.

Required Skills

* Strong Python programming skills.

* Understanding of LLM fundamentals and post-training concepts (SFT, RLHF, RL).

* Experience working with structured data (JSON, CSV, YAML).

* Git, Linux/Unix command line, and solid software engineering fundamentals.

Good to Have

Experience with RAG, agentic AI systems, Hugging Face Transformers, LoRA/PEFT, LangChain or LlamaIndex, vector databases (FAISS, Qdrant, Milvus, Pinecone, Weaviate, ChromaDB), Docker, AWS/GCP, FastAPI/Flask, Bash, CLI tooling, model evaluation frameworks, benchmarking, and AI infrastructure.

Compensation

Base Salary: USD $1,250/month

Equity: ESOP/Equity package included.

Performance Bonuses: Up to USD $4,000/month (in addition to base salary).

Location

Remote (Worldwide)

Work Hours

Flexible, remote-first, asynchronous work environment.

How to Apply

Apply here: https://tally.so/r/wLReJG

Please complete the application form and submit the required details. Only shortlisted candidates will be contacted.

Strong Python Developer profile with robust AWS exposure

2

Mandatory (Experience 1): Must have 7+ years of hands-on software development experience with at least the recent 4+ years in Python and strong hands on knowledge of AWS

3

Mandatory (Tech skill 1): Must have strong working knowledge of Python.

4

Mandatory (Tech skill 2): Must have good understanding of AWS services including EC2, S3, Lambda, IAM, CloudWatch, and ECS or ECR

5

Mandatory (Tech skill 3): Must be able to write and understand REST APIs

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Mandatory (Tech skill 4): Must be comfortable with version control tools such as Git, GitHub, Bitbucket, or GitLab

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Mandatory (Tech skill 5): Must have good understanding of databases such as PostgreSQL, MySQL, or DynamoDB

8

Mandatory (Tech skill 6): Must have familiarity with Linux commands and shell scripting

9

Mandatory (Skill): Must have good debugging and problem-solving skills, with the ability to read existing code and make changes independently with light guidance

10

Mandatory (Skill 2): Must have strong communication skills

11

Preferred (Tech skill 1): Experience with AWS CodeCommit, and exposure to AWS CodeBuild, CodeDeploy, CodePipeline, GitHub Actions, Jenkins, or similar CI/CD tools

12

Preferred (Tech skill 2): Basic understanding of CI/CD pipelines

13

Preferred (Tech skill 3): Experience with Docker or container-based applications

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Preferred (Tech skill 4): Basic knowledge of infrastructure-as-code tools such as Terraform or AWS CloudFormation

Job details: Fresher/Experience.

Pay Scale : As per Norms.

Location: Saravanampatti, Coimbatore.

Core Qualifications

• Educational Background: A Bachelor’s and Master’s degree in Computer Science, IT, or a related engineering field.
• Eligibility Exams: Clearing the UGC-NET (National Eligibility Test) or SLET/SET (State Level Eligibility Test) is a standard requirement in India.
• Ph.D. Requirement: A Doctorate is often required for long-term career progression and is mandatory for certain university-level appointments as per UGC norms.

1. Programming and Coding Languages

• Core Languages:
• Python – General-purpose, easy-to-learn, popular for data science, web development, automation, etc.
• JavaScript – Essential for web development (both frontend and backend).
• Java – Widely used in enterprise applications, Android development.
• C/C++ – Great for systems programming, high-performance computing.