Poppulo Graduate Machine Learning Engineer 2024/2025/2026 freshers apply now Full Time NEW

Poppulo Graduate Machine Learning Engineer 2024/2025/2026 freshers apply now . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free 

About Company :

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

Job Description :

We are looking for a Graduate Machine Learning (ML) Engineer with a strong sense of ownership. If you’re passionate about using AI to build things that matter, this is your chance to make an impact from day one.

At Poppulo, we intend to redefine boundaries and reshape Employee Communications through the power of cutting-edge machine learning and AI. We are not just building products; we are disrupting the status-quo with transformative solutions that challenge conventional thinking, create competitive edge and create new market opportunities.

As a Graduate Machine Learning Engineer, you’ll help turn bold ideas into intelligent, working solutions that push boundaries. You’ll work hands-on with real data, cutting-edge models, and production-grade tools to bring AI solutions to life. From experimenting with new frameworks to supporting the optimization of performance in live environments, you’ll play a part in shaping products that make a difference.

Key Responsibilities

• Solve challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap.
• Build AI/ML systems – Build AI and GenAI solutions using existing frameworks and pre-trained models. Extend frameworks or finetune models, when necessary.
• Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI into innovative, practical solutions that transform customer experiences.
• Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy.
• Optimise Model and system performance: Fine-tune, optimise training and inference performances.
• Wider collaboration: Partner with cross-functional teams to demonstrate the impact of ML innovations and bring them to life.
• Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML.

Technical Skills / Competencies  

• Curious about AI/ML: You understand the basics of how machine learning works and love exploring how it can solve real problems.
• Excited about Generative AI: You’ve played around with tools like ChatGPT or image generators and are eager to learn how they work behind the scenes.
• Unstoppable with code: You can write Python and experiment with popular ML libraries like PyTorch or TensorFlow.
• Problem solver: You enjoy tackling challenges, breaking them down, and finding practical ways to make things work.
• Always learning: You’re proactive about picking up new tools, frameworks, and ideas to stay ahead in the fast-moving AI world.

Education & Experience  

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative/engineering field
• Internships, academic projects, research work, hackathons, or experience in building AI solutions will be an advantage
• Strong understanding of entire end-to-end software development lifecycle

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