Tata Consultancy Services is an equal opportunity employer, our commitment to diversity & inclusion drives our efforts to provide equal opportunity to all candidates who meet our required knowledge & competency needs, irrespective of any socio-economic background, race, color, national origin, religion, sex, gender identity/expression , age, marital status, disability, sexual orientation or any others. We encourage anyone interested to build a career in TCS to participate in our recruitment & selection process.

We´re looking your Talent as "Senior Machine Learning Engineer"

Qualifications:

• Advanced knowledge of English
• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.

Experience:

• At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
• A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.
• A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles.
• Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products.
• Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus.
• Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries.
• Experience in leading and supporting engineering teams.

About the Role:

As a Senior Machine Learning Engineer, you will:

• Be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives.
• Create machine learning solutions that are scalable, dependable, and secure.
• Craft and sustain technical outputs such as design documentation and representative models.
• Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews.
• Provide expert oversight, guidance on implementation, and solutions for technical challenges.
• Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services.
• Promote a team-focused culture that values information sharing and diverse viewpoints.
• Cultivate an environment of continual enhancement, learning, innovation, and deployment.

We offer:

1. Full payroll (all laws benefits)

2. Food coupons

3. Medical insurance

4. Life insurance

5. 30 days Christmas bonus