AI/ML Engineering & Operations Roles

AI/ML Engineering & Operations Roles
Company: Logicmotive Consultant Private Limited
Experience Required: 3+ Years (Varies by Role)
Location: Remote
Notice Period: Up to 30 days (Immediate joiners preferred)

Email - hr@logicmotive.in

Contact - 9766742868

Open Positions:

1. Machine Learning Ops (ML Ops) Engineer
2. Internal LLM Engineer
3. Data Engineer'

Key Responsibilities:
ðML Ops Engineer:

• Build and maintain ML pipelines for training and deploying AI models.
• Automate workflows and optimize LLM deployments for scalability.
• Monitor AI models for performance, drift, and retraining needs.
• Work with AWS, Azure, or Google Cloud for ML operations.

ð Internal LLM Engineer:

• Develop and fine-tune large language models (LLMs) for enterprise applications.
• Deploy LLM-powered AI solutions for automation and business intelligence.
• Optimize inference performance and model integration with enterprise applications.
• Collaborate with data scientists and software engineers to scale AI solutions.

ðData Engineer:

• Design and manage ETL/ELT pipelines for large-scale data processing.
• Work with big data technologies (Spark, Kafka, Hadoop).
• Optimize cloud-based data architectures for analytics and AI-driven decision-making.
• Ensure data integrity, security, and compliance with governance policies.

Key Skills (Role-Specific):

ML Ops Engineer: MLOps, PyTorch, TensorFlow, Kubernetes, CI/CD Pipelines, Model Deployment.
Internal LLM Engineer: NLP, Hugging Face Transformers, Model Fine-Tuning, API Development.
Data Engineer: ETL/ELT, SQL, Apache Spark, AWS/GCP, Data Warehousing.

Apply Now: hr@logicmotive.in
Contact: +91-9766742868

More Opportunities: www.logic-motive.com/careers

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