Senior AI/ML Engineer

7 days ago

Bengaluru, Karnataka, India Omni Reach Full time ₹ 8,00,000 - ₹ 20,00,000 per year

Job Description
We are seeking a high-impact AI/ML Engineer to lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities.

You'll be part of a fast-paced, outcome-oriented AI & Analytics team, working alongside data scientists, engineers, and product leaders to transform business use cases into real-time, scalable AI systems.

This role demands strong technical leadership, a product mindset, and hands-on expertise in Computer Vision, Audio Intelligence, and Deep Learning.

Key Responsibilities

  • Architect, develop, and deploy ML models for multimodal problems, including vision (image/video), audio (speech/sound), and NLP tasks.
  • Own the complete ML lifecycle : data ingestion, model development, experimentation, evaluation, deployment, and monitoring.
  • Leverage transfer learning, foundation models, or self-supervised approaches where suitable.
  • Design and implement scalable training pipelines and inference APIs using frameworks like

PyTorch or TensorFlow.

  • Collaborate with MLOps, data engineering, and DevOps to productionize models using Docker, Kubernetes, or serverless infrastructure.
  • Continuously monitor model performance and implement retraining workflows to ensure accuracy over time.
  • Stay ahead of the curve on cutting-edge AI research (e.g., generative AI, video understanding,

audio embeddings) and incorporate innovations into production systems.

  • Write clean, well-documented, and reusable code to support agile experimentation and long-

Term Platform

  • Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a

related field.

  • 5 - 8+ years of experience in AI/ML Engineering, with at least 3 years in applied deep learning.

Technical Skills

  • Languages : Expert in Python; good knowledge of R or Java is a plus.
  • ML/DL Frameworks : Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX.
  • Computer Vision : Image classification, object detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe).
  • Audio AI : Speech recognition (ASR), sound classification, audio embedding models (Wav2Vec2, Whisper, etc.).
  • Data Engineering : Strong with Pandas, NumPy, SQL, and preprocessing pipelines for

structured and unstructured data.

  • NLP/LLMs : Working knowledge of Transformers, BERT/LLAMA, Hugging Face ecosystem is preferred.
  • Cloud & MLOps : Experience with AWS/GCP/Azure, MLFlow, SageMaker, Vertex AI, or Azure ML.
  • Deployment & Infrastructure : Experience with Docker, Kubernetes, REST APIs, serverless ML

inference.

  • CI/CD & Version Control : Git, DVC, ML pipelines, Jenkins, Airflow, etc.

Soft Skills & Competencies

  • Strong analytical and systems thinking; able to break down business problems into ML

components.

  • Excellent communication skills able to explain models, results, and decisions to non-

technical stakeholders.

  • Proven ability to work cross-functionally with designers, engineers, product managers, and

analysts.

  • Demonstrated bias for action, rapid experimentation, and iterative delivery of impact.

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