Infosys - Senior Machine Learning Engineer

Description :

Job Title : Senior Machine Learning Engineer

Experience : 7Yrs to 10Years

Location : Chennai

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.