AI-ML Tech Engineer

4 days ago

Pune, Maharashtra, India Luxoft Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Project description

New settlements and confirmation system for FX trades.

Responsibilities

  • We are seeking an AI-ML Tech Engineer who has a minimum of 8 years of strong background in machine learning, data science, and software engineering. As a Machine Learning Engineer, you will develop and deploy machine learning models, work with large datasets, and collaborate with cross-functional teams to solve real-world problems.

SKILLS

Must have

  • Proficient in building ML (Machine Learning) & NLP (Natural Language Processing) solutions using common ML libraries and frameworks.
  • Proficient with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Keras, Scikit Learn.
  • Theoretical understanding of statistical models such as regression, clustering, and ML algorithms such as decision trees, Random Forests, neural networks, etc.
  • Strong understanding of cloud computing and cloud AI services.
  • Experience in deploying AI/ML models in production environments.
  • Experience in data analytics, feature creation, model selection and ensemble methods, performance metrics and visualization.
  • Experience working with large datasets and distributed computing systems.
  • Experience in fine-tuning DL models including LLMs, SLMs.
  • Knowledge of large language models from OpenAI such as GPT 3.5,GPT 4,C odex etc.
  • Experience with Vector Stores and RAG pipelines.
  • Proficient with Data-Modelling Tools.
  • Proficient with multiple ML deployment strategies including static and dynamic.
  • Excellent knowledge of CI, CD Pipelines for ML algorithms, training, prediction pipelines.
  • Experience in translating ML-based outcomes to business-digestible insights.
  • Excellent communication skills and experience in managing stakeholders at various levels.

Nice to have


• Knowledge of ML Ops like continuous integration, continuous deployment.
• Knowledge of full stack development.
• Knowledge of Databricks, Data Mesh.
• Knowledge of ETL (Extract, Transform, Load) pipeline.
• Familiarity with agile methodologies, such as Scrum or Kanban, and project management tools such as JIRA/GITLAB.
• Experience with frameworks like flask/Django.
• Knowledge of Docker containers.

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