Senior Machine Learning Engineer

2 days ago

Bengaluru, Karnataka, India EdgeVerve Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title: Senior Machine Learning Engineer

Experience: 7Yrs to 10Years

Location: Bangalore/Pune

Key Responsibilities:

  • Machine Learning Model Development:
    Research, design, and implement advanced machine learning algorithms and models to address business challenges.
  • Data Engineering:
    Extract, transform, and load (ETL) large datasets from various sources into a Postgres database.
  • Model Deployment:
    Deploy machine learning models into production environments, ensuring optimal performance and scalability.
  • AI Integration:
    Integrate AI capabilities into existing systems and applications.
  • Team Leadership:
    Mentor and guide junior team members in machine learning and data science practices.
  • Problem Solving:
    Analyze complex business problems and develop innovative solutions using machine learning techniques.
  • Collaboration:
    Work closely with cross-functional teams to understand business requirements and translate them into technical solutions

Required Skill Set:

Technical Skills:

  • Machine Learning:
    Strong proficiency in machine learning algorithms (regression, classification, clustering, deep learning) and their implementation using Python libraries (TensorFlow, PyTorch, Scikit-learn).
  • AI:
    Understanding of AI concepts, including natural language processing (NLP), computer vision, and reinforcement learning.
  • Programming:
    Expert-level Python programming skills, including data manipulation, statistical analysis, and model development.
  • Database:
    Proficiency in SQL and experience with PostgreSQL for data storage and retrieval.
  • Cloud Platforms:
    Familiarity with cloud platforms (AWS, GCP, Azure) for deploying and managing machine learning workloads.
  • Data Engineering:
    Experience with data pipelines, ETL processes, and data preprocessing techniques.
  • Big Data:
    Knowledge of big data technologies (Hadoop, Spark) is a plus.

Soft Skills:

  • Problem Solving:
    Ability to analyze complex problems and develop effective solutions.
  • Communication:
    Excellent communication skills to explain technical concepts to both technical and non-technical audiences.
  • Collaboration:
    Strong teamwork and interpersonal skills to work effectively with cross-functional teams.
  • Leadership:
    Ability to mentor and guide junior team members.
  • Business Acumen:
    Understanding of business objectives and how machine learning can drive business value.
  • Continuous Learning:
    Passion for staying updated with the latest advancements in machine learning and AI.

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