Data Science 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

Roles and Responsibilities

•Deliver training sessions on Quantitative Aptitude, Logical Reasoning, Verbal Ability, and Analytical Skills soft skill is mandatory

•Prepare students for campus placements, competitive examinations, and aptitude assessments.

•Design and develop training materials, assignments, mock tests, and practice exercises.

•Assess student performance and provide constructive feedback for improvement.

•Conduct doubt-clearing sessions and mentor students to achieve their career goals.

•Track student progress and submit periodic reports.

•Collaborate with academic and placement teams to ensure training effectiveness.

•Stay updated with the latest aptitude test patterns and industry requirements.

Required Skills

•Strong knowledge of Quantitative Aptitude, Logical Reasoning, and Verbal Ability and soft skill is mandatory

•Excellent communication and presentation skills.

•Ability to engage and motivate students.

•Strong problem-solving and analytical skills.

•Proficiency in MS Office and online training platforms.

Eligibility Criteria

•Prior training or teaching experience is preferred.

Compensation

•As per company standards and candidate experience.

Preferred Candidates

•Passionate about teaching and mentoring students.

•Strong interpersonal and classroom management skills.

•Immediate joiners are preferred.

Role Overview

We are looking for a passionate Computer Science Faculty to train and mentor students in computer

science concepts and practical applications while helping them develop industry-relevant technical skills.

Key Responsibilities

• Conduct hands-on practical training sessions in Computer Science.

• Explain programming and technical concepts through practical applications.

• Conduct coding exercises, assignments, projects, and assessments.

• Monitor student attendance, assessment scores, assignment performance, and learning progress.

• Provide continuous technical mentoring and guidance.

• Help students develop industry-relevant technical skills.

• Assist students in obtaining certifications in high-demand technologies.

• Support students in securing internships and provide continuous guidance.

• Keep students updated with relevant industry trends and technologies.

• Ensure students achieve periodic learning targets and outcomes.

• Work effectively in a corporate-style training environment.

Preferred Candidates

• Prior Computer Science teaching/training experience preferred.

• Strong technical and programming knowledge.

• Strong communication and presentation skills.

• Good classroom management skills.

• Passion for teaching and mentoring students.

• Immediate joiners preferred

Qualification

• PG qualification in Computer Science

• UGC NET/SET in Computer Science OR completed PhD in Computer Science / relevant specialization

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.

We are seeking an experienced MERN Stack Trainer with a strong passion for teaching and hands-on industry exposure. The ideal candidate will have a minimum of 2 years of training experience and deep expertise in JavaScript, React.js, Node.js, and MySQL, with the ability to train learners through real-world projects and practical assignments.

Require solid understanding of:

• RESTful APIs
• MVC / modular architecture
• Authentication & authorization (JWT, sessions)
• Git and version control workflows

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.

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 looking for motivated and enthusiastic candidates for a Python and Machine Learning Internship. This internship provides an opportunity to gain practical experience in Python programming, data analysis, and machine learning through hands-on projects and industry-oriented tasks.

Key Responsibilities:

• Develop and implement Python-based applications and solutions.
• Work with data preprocessing, analysis, and visualization.
• Build, train, and evaluate machine learning models.
• Apply machine learning algorithms to real-world datasets.
• Assist in developing and testing project modules.
• Debug code and improve model performance.
• Work on practical projects under the guidance of experienced trainers/mentors.

Who Can Apply:

Pursuing students from BE/BTech, BCA, BSc, MCA, MTech, MSc, Diploma and related computer science backgrounds.

Mode of internship: Offline / Online / Hybrid

What You Will Gain:

• Hands-on experience with Python and Machine Learning.
• Practical project development experience.
• Exposure to real-world datasets and ML applications.
• Guidance from experienced mentors.
• Internship Certificate and Letter of Recommendation upon successful completion.

Requirements:

• Bachelor's degree in engineering with a specialization in computer science or a related field.
• 3+ years of experience as a software engineer in a product development setting.
• Love of technology and experience with one or more programming languages, such as Python
• Experience in full-stack development, including designing APIs and integration patterns, implementing security, and implementing frameworks for unit and end-to-end testing.
• Experience with microservices architecture.
• Experience in one or more frameworks like FastAPI, Spring, GRPC, Flask, etc.
• Extensive experience in a test-driven development environment.
• Understanding of CI/CD practices, including code check-in policies, automated unit tests, automated code deployments, etc.
• Ability to grasp new technologies and use them effectively to create industrial-strength software.
• Good communication skills. You can communicate well in the English language with product managers, your team members, and external stakeholders to understand their needs and convey yours in a clear, precise manner, verbally or in writing.
• Strong collaboration skills. You have demonstrated the ability to work with both senior and junior technical professionals and get work done. You quickly earn the trust of the people you work with. People enjoy and have fun working with you.
• Deadline-oriented. You understand that deadlines are meant to be met.
• Challenges will surface, and obstacles and roadblocks will cause delays, but you plan for them in advance and still ship your features on time to meet your commitments.
• Bias for action. Your default setting is to take action and not wait for things to happen. You love to learn about new technologies and advancements in the software industry.

Benefits at 314e Corporation:

• Medical Benefits
• Office Game space
• Referral Program
• Holiday parties

1st virtual , 2nd round F2F

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.