Artificial Intelligence/Machine Learning Engineer - NLP Pipeline

Job Overview :

We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning and artificial intelligence, with a proven track record of developing and deploying scalable ML solutions. This role involves close collaboration with cross-functional teams to design, implement, and optimize AI-driven products and services.

Key Responsibilities :

1. Machine Learning Model Development and Deployment:

- Design, develop, and deploy machine learning models to solve complex business problems.

- Implement MLOps practices to ensure robust and scalable model deployment.

- Optimize model performance and ensure scalability and efficiency.

2. Data Analysis and Feature Engineering :

- Analyze large datasets to extract meaningful insights.

- Develop and select appropriate features to enhance model performance.

- Collaborate with data engineers to ensure seamless data integration.

3. Collaboration and Leadership :

- Work closely with data scientists, software engineers, and product managers to integrate ML solutions into products.

- Mentor junior team members and provide technical guidance.

- Communicate technical concepts to both technical and non-technical stakeholders.

4. Research and Innovation :

- Stay abreast of the latest developments in AI/ML technologies.

- Evaluate and implement new tools and frameworks to improve existing systems.

- Drive innovation and continuous improvement in AI/ML solutions.

What You'll Do :

Innovate: Design, develop, and deploy state-of-the-art machine learning models that solve complex problems and drive strategic decisions.

Collaborate: Work cross-functionally with data scientists, software engineers, and product managers to integrate AI solutions seamlessly into our products.

Lead: Mentor junior team members, fostering a culture of continuous learning and innovation.

Optimize: Implement MLOps best practices to ensure scalable, reliable, and efficient model deployment and monitoring.

Explore: Stay abreast of the latest advancements in AI/ML, evaluating and integrating new technologies to keep us at the forefront of innovation.

Required Qualifications:

Educational Background:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Professional Experience:

Minimum of 5 years of experience in machine learning engineering or a similar role.

Technical Skills :

- Proficiency in programming languages such as Python or R.

- Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.

- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes).

- Strong understanding of data structures, algorithms, and software engineering principles.

Soft Skills :

- Excellent problem-solving and analytical abilities.

- Strong communication and teamwork skills.

Preferred Qualifications :

- Experience with big data technologies (e.g., Spark, Hadoop).

- Knowledge of NLP techniques and applications.

- Familiarity with CI/CD pipelines and version control systems like Git.

- Contributions to open-source projects or publications in reputable journals.

What We Offer :

- Competitive salary and benefits package.

- Opportunities for professional growth and development.

- A collaborative and inclusive work environment.

- Access to cutting-edge technologies and tools.