AI and Machine Learning Solutions Architect

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.