[15/10/2025] Senior Machine Learning Engineer

7 days ago

Bengaluru, India EdgeVerve Full time

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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