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.