Machine Learning Engineer
- Covalensedigital
- 4 - 8 years
- Bengaluru
- 3 months ago
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Job Description
Designs, develops, and deploys ML and GenAI models for customer solutions and platform components.
Responsibilities:
- Implement ML models from prototype to production.
- Fine-tune foundation models for domain-specific applications.
- Optimize performance and ensure scalability.
- Collaborate with MLOps and Data Engineers for deployment.
Mandatory Skills:
- ML algorithms (supervised, unsupervised, reinforcement learning).
- Feature engineering, vector embeddings, time-series, unstructured data (text, images, audio) analysis.
- Model optimization (hyperparameter tuning, regularization).
- Deep Learning (CNNs, RNNs, Transformers, Attention)
- Model optimization for inference (ONNX, TensorRT, quantization)
- A/B testing, ML interpretability (SHAP, LIME), ethical AI principles.
- Tools & Frameworks: Python, PyTorch, TensorFlow, HuggingFace, Scikit-learn, LangChain, LangGraph
- Soft Skills: Analytical thinking, problem solving, collaborative mindset, Good verbal and written Communication
Good to have:
- Generative AI: diffusion models, transformers, embeddings, fine-tuning (LoRA, PEFT).
- Agentic AI: task decomposition, planning, multi-agent orchestration
- Telco or Fintech domain
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: CovalensedigitalLocation(s): Bengaluru+ View Contact
Keyskills: Agentic Ai gen ai Ml Algorithms Python Deep Learning
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