Senior Machine Learning Engineer

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.