Senior Machine Learning Engineer - Remote at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

5000000.0

Posted On

24 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI Systems, Python, Data Engineering, Model Architecture, Multimodal ML, Voice AI, Reinforcement Learning, Cloud Deployment, CI/CD, TensorFlow, PyTorch, Scikit-learn, RAG Pipelines, GPU Clusters, Kubernetes

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer - Remote in India. In this role, you will lead the development of advanced AI systems that integrate language, vision, and voice to power intelligent, agentic platforms. You will take ownership of the full ML lifecycle, from data pipelines and model training to deployment and monitoring, while mentoring junior engineers and collaborating across cross-functional teams. The position offers an exciting opportunity to work with cutting-edge technologies, optimize high-performance AI pipelines, and influence the future of multimodal AI systems. You will contribute directly to the creation of scalable, real-time AI solutions that have tangible impact on user experiences, all within a dynamic, innovation-focused environment. Accountabilities Design, develop, and scale AI systems that handle voice, vision, and language in real time. Lead the full ML lifecycle, including data engineering, model architecture, training, deployment, and monitoring. Develop and optimize multimodal AI solutions, including speech-to-speech and reinforcement learning pipelines. Build and enhance RAG pipelines for live grounding of LLMs and multimodal integration. Collaborate with infrastructure and systems engineers to manage cloud, GPU clusters, edge deployment, and CI/CD pipelines. Mentor and guide junior ML engineers, define best practices, and shape the technical roadmap. Translate research and experimental ideas into production-ready AI innovations. Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. 3+ years of experience working with production ML systems. Strong proficiency in Python; solid understanding of data structures, algorithms, OS, and networking fundamentals. Expertise in LLMs (architecture, fine-tuning, LoRA/PEFT/instruction tuning) and multimodal ML (text, vision, voice). Hands-on experience in Voice AI (ASR, TTS, embeddings, latency optimization). Experience with RAG pipelines, vector databases, and orchestration tools. Strong foundation in reinforcement learning, continual learning, and policy optimization. Proficiency with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Familiarity with tools like HuggingFace, LangFlow, vLLM, CrewAI, LoRA frameworks. Experience with distributed training, large-scale pipelines, and inference latency optimization. Cloud deployment experience (AWS/GCP/Azure), containers, Kubernetes, and CI/CD. Ownership mindset, high resilience, ability to thrive in a startup or fast-paced environment. Competitive salary: ₹4,000,000 - ₹5,000,000 per year. Fully remote work with flexibility. Opportunity to work on cutting-edge multimodal AI systems. Collaborative and innovative environment with mentorship opportunities. Exposure to advanced AI research and production deployment. Professional growth in a technology-driven, high-impact role. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead the development of advanced AI systems that integrate language, vision, and voice. Take ownership of the full ML lifecycle, from data pipelines and model training to deployment and monitoring.