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Senior AI/ML Engineer

India

115 Days ago

Job Description


This role is for one of the Weekday's clients

Min Experience: 5 years

JobType: full-time

We are looking for a high-impact AI/ML Engineer to lead the development and deployment of advanced machine learning solutions across vision, audio, and language modalities. You'll work as part of a fast-paced, results-driven AI & Analytics team, collaborating with data scientists, engineers, and product stakeholders to bring real-time, scalable AI systems to life. The ideal candidate combines deep technical expertise, strong product thinking, and hands-on experience with Computer Vision, Audio Intelligence, and Deep Learning.

Requirements

Key Responsibilities
  • Design, develop, and deploy ML models for multimodal use cases, including image/video, audio/speech, and natural language.
  • Own the full ML lifecycledata ingestion, model training, experimentation, evaluation, deployment, and monitoring.
  • Apply techniques like transfer learning, foundation models, or self-supervised learning as needed.
  • Build scalable training pipelines and inference services using frameworks like PyTorch or TensorFlow.
  • Work closely with MLOps, data engineering, and DevOps teams to productionize models using Docker, Kubernetes, or serverless solutions.
  • Continuously monitor model performance and maintain retraining workflows to sustain accuracy.
  • Stay current with cutting-edge research (e.g., generative AI, video understanding, audio embeddings) and integrate relevant advancements into production.
  • Write clean, reusable, and well-documented code to support rapid experimentation and long-term platform growth.
Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 58+ years of experience in AI/ML engineering, including 3+ years of hands-on deep learning experience.
Technical Skills
  • Languages: Expert in Python; working knowledge of R or Java is a plus.
  • ML/DL Frameworks: Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX.
  • Computer Vision: Experience in classification, object detection, OCR, segmentation, tracking (e.g., YOLO, Detectron2, OpenCV, MediaPipe).
  • Audio AI: Experience with speech recognition, sound classification, and audio embeddings (e.g., Wav2Vec2, Whisper).
  • Data Engineering: Proficient in Pandas, NumPy, SQL, and building robust data preprocessing pipelines.
  • NLP/LLMs: Familiar with Transformers, BERT, LLAMA, and the Hugging Face ecosystem.
  • Cloud & MLOps: Hands-on experience with AWS, GCP, or Azure; tools like MLflow, SageMaker, Vertex AI, or Azure ML.
  • Deployment: Skilled in Docker, Kubernetes, RESTful APIs, and serverless inference.
  • CI/CD & Pipelines: Experience with Git, DVC, Jenkins, Airflow, and ML pipeline automation.
Soft Skills & Competencies
  • Strong analytical and systems-thinking abilities; can break down complex business problems into ML components.
  • Excellent communication skills; able to explain technical concepts to non-technical stakeholders.
  • Comfortable working cross-functionally with product, design, and engineering teams.
  • Bias for action and iterative delivery with a focus on measurable impact.
Core Skills
  • Machine Learning
  • Deep Learning
  • Python
  • AI / Data Science

Key Skills Required

JavaSQLJAVAPythonAWSAutomationAzureAzure MLBERTComputer VisionData EngineeringJavaCI/CDAnalyticsArtificial IntelligenceClassificationCommunicationComputer ScienceData PreprocessingData ScienceDeep LearningDesignDevelopmentEcosystemGitIntelligenceIterativeJenkinsKubernetesLearningLearning SolutionsMachine LearningNumPyObject DetectionOpenCVpandasPipelinePyTorchResearchScienceScikit-LearnSoft SkillsSupervised LearningTensorFlowTrainingTransfer LearningSpeech Recognition

Job Overview


Job Function: IT/Computers - Software & Software Services

Job Type: Full Time

Workplace Type: Not Specified

Experience Level: Mid-Senior level

Salary: Competitive & Based on Experience

Experience: 8 - 9 yrs

Contact Information


Company Name: Weekday AI

Recruiting People: HR Department

Website: https://www.weekday.works

Location

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