Senior AI/ML Engineer

This is a remote position.

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 sustainability.

• Bachelor’s or Master’s 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.

•  Competitive compensation and full-time benefits.
• Opportunities for certification and professional growth.
• Flexible work hours and remote work options.
• Inclusive, innovative, and supportive team culture