Software Engineer 2, Machine Learning

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Interview Kickstart

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

📚 Education

Education

Interview Kickstart is a professional training and coaching company that focuses on helping software engineers, product managers, data scientists, and tech leaders enhance their careers. With a team of over 700 FAANG instructors, the company offers comprehensive support in upskilling, interview preparation, and career development, leveraging AI technologies to optimize resumes and provide tailored job referrals. Recognized by TIME x Statista and GSV 150, Interview Kickstart emphasizes the importance of AI skills for job readiness in today's market, particularly for high-demand positions at leading technology companies.

📋 Description

• Collaborate with product managers and business stakeholders to understand business challenges and translate them into machine learning problems and actionable project requirements. • Research and design solutions using statistical modeling, machine learning, and generative AI/LLMs. • Collaborate with machine learning engineers to develop and refine solutions. • Work with Applied AI/ML engineers to build LLM-powered agentic systems for real product use cases. • Design, develop, and optimize agent pipelines and APIs. • Build tests for agent behaviors and contribute to evaluation frameworks. • Deploy machine learning solutions into scalable production environments on cloud platforms such as AWS, Azure, and GCP. • Ensure deployed solutions are effective. • Stay informed about developments in AI/ML, publications, best practices, evaluation methodologies, technology stacks, and relevant tools.

🎯 Requirements

• 2+ years of full-time experience as an ML engineer at tier-1 product-based companies. • MIMP: An AI-first approach for solving problems. • Hands-on experience building statistical and machine learning models, with proven expertise across traditional methods (regression, classification, clustering, tree-based models) and deep learning techniques (neural networks, CNNs, RNNs). • Solid prompt engineering skills. • Good debugging and online searching skills. • Good communication skills. • Good problem-solving skills, including ability to solve hard-level data structures and algorithms problems. • Hands-on experience building and deploying AI Agents using LangChain, LangGraph, OpenAI API, Gemini API, Anthropic API, etc. (good to have). • Hands-on experience with multi-step agent workflows, orchestration, and evaluating agent reliability (good to have). • Hands-on experience with vector databases (Pinecone, Weaviate) and semantic search (good to have). • Hands-on experience fine-tuning open-weight language models and deploying and maintaining them in scalable production environments on cloud platforms such as AWS, Azure, or GCP (good to have).

🏖️ Benefits

• Permanent remote / work-from-home culture • Opportunity to work on a cutting-edge AI technology stack • An AI-first approach to solving real-world problems • Complete ownership and trust from leadership • Your ideas and concerns are actively heard by the leadership team • Freedom to experiment, fail, and learn • Rapid career progression for high performers • Work with a high-caliber team of engineers and industry experts • Learn how a fast-growing startup builds and scales

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