Senior AI Engineer

Overview

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.

Job Types: Full-time, Permanent

Pay: ₹1,500,000.00 - ₹4,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Supplemental Pay:

• Performance bonus

Work Location: In person