Technical Requirements:

Minimum 4 - 8 years of experience in Data Science and Machine Learning.

In-depth knowledge of machine learning, deep learning, and generative AI techniques.

Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.

Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.

Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.

Expertise in data engineering, including data curation, cleaning, and preprocessing.

Knowledge of trusted AI practices, like fairness, transparency, and accountability in AI models and systems.

Strong collaboration with engineering teams to ensure seamless integration and deployment of AI models.

Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.

Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.

Understanding of data privacy, security, and ethical considerations in AI applications.

Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

Knowledge and/or hands on experience in Cyber domain AI applications

Vulnerability Management tools such as AquaSec, Qualys, Wiz, Check Marx, and MS Defender

Knowledge of secure software development lifecycle (SSDLC) processes

Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.

Knowledge on DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.

Implement CI/CD pipelines for streamlined model deployment and scaling processes.

Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.

Implement monitoring and logging tools to ensure AI model performance and reliability.

Role: Machine Learning Engineer

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

About the company

We e a community of 32,000+ Hexawarians dedicated to one singular purpose: creating smiles through great people and technology. With a presence in 54 offices across 28 countries, we enable enterprises worldwide to embark on their digital transformation journey with scale and speed.

As an employer of choice for over three decades, we e more than just a workplace. We put people at the center of everything we do. Our diverse and inclusive work environment, paired with dynamic learning and development programs, empowers our teams to innovate, collaborate, and drive meaningful change. We’re driven by our shared vision of becoming the world’s most loved digital transformation partner—a trusted ally in shaping a brighter tomorrow. Visit www.hexaware.com to learn more about how we’re transforming lives and businesses globally.