Senior Machine Learning Engineer
7 days ago
Company Name : MADVIT (MADVIT.COM)
Place of work : , Permanent Work from Home position
Number of Vacancies: 9
Budget : Max 45 LPA
Employment Mode : Contractual Candidate, shall be on payrolls of Gharondaa Advisors Private Limited (legal entity of ACE TALENT CONSULTING) on contract for 12 months. Renewable at the discretion of client.
BGV is applicable
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Job Title: Senior ML Engineer (Gen AI, Machine Learning) - 4 positions
Mandatory skills for this position : Graph ML, Agentic AI
Overview
Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven systems?
This is a greenfield opportunity to shape next-gen experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You'll help define every aspect of the user journey, product vision, and technical roadmap—driving innovation from concept to delivery.
Our AI Core group is pioneering platforms and solutions for Generative AI—from AI Agents, RAG, and Knowledge Bases to Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship products while enabling entirely new offerings. Together, we're driving a fundamental shift in how businesses leverage network intelligence—building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
Job Responsibilities
- Serve as a thought leader and forward thinker—driving innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation.
- Lead the full software development lifecycle (design, testing, deployment, and operations), guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation.
- Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks.
- Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale.
Requirements
- Degree in Computer Science, Mathematics, or a related field.
- 8+ years of full SDLC experience (design, coding, reviews, testing, deployment, operations).
- 5+ years of experience building and deploying end-to-end ML solutions or platforms in production.
- Hands-on experience developing Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production.
- Experience with large-scale distributed systems on cloud platforms (AWS, Azure, GCP).
- Strong ability to solve complex, ambiguous problems.
Preferred Qualifications
- MS/PhD in Computer Science, Machine Learning, or a related discipline.
- Experience with Graph ML and Graph technologies (e.g., GNNs, GraphRAG).
- Experience with distributed Big Data technologies (e.g., Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue).
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Job Type: Contractual / Temporary
Contract length: 12 months
Pay: ₹4,500,000.00 per year
Work Location: Remote
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