Job Title: AI/ML Engineer Location: San Antonio TX Visa" H1B TN Mode: C2C

 

AI/ML Engineer

Job Title: AI/ML Engineer

Location: San Antonio TX 

Visa" H1B TN 

Mode: C2C

Job Details:

As an AI/ML Engineer, you will play a pivotal role in designing, developing, and implementing machine learning solutions that drive innovation and operational efficiency within our organization. This role combines advanced technical skills in AI/ML with a deep understanding of software engineering principles and data science methodologies.

Job Responsibilities:

1. Solution Development:

   • Design, develop, and deploy end-to-end machine learning models and systems.
   • Collaborate with cross-functional teams to define AI/ML project requirements and translate them into technical solutions.
   • Implement algorithms and models that address complex business problems and enhance operational processes.

2. Data Preparation and Analysis:

   • Gather, preprocess, and analyze large datasets to extract meaningful patterns and insights.
   • Build data pipelines and workflows to support model training, testing, and validation.
   • Ensure data quality, integrity, and consistency throughout the machine learning lifecycle.

3. Model Training and Evaluation:

   • Select and implement appropriate machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
   • Fine-tune models for optimal performance and scalability.
   • Evaluate model performance metrics and iteratively improve model accuracy and efficiency.

4. Deployment and Integration:

   • Deploy machine learning models into production environments using containerization and orchestration tools (e.g., Docker, Kubernetes).
   • Integrate AI/ML solutions with existing software applications and infrastructure.
   • Implement monitoring and logging mechanisms to track model performance and ensure reliability.

5. Research and Innovation:

   • Stay abreast of the latest advancements in AI/ML research and technologies.
   • Experiment with new algorithms, techniques, and tools to improve model efficacy and innovation.
   • Contribute to the organization's intellectual property through research publications and patents.

6. Collaboration and Communication:

   • Work closely with stakeholders, including data scientists, software engineers, and business analysts, to understand project requirements and deliver effective solutions.
   • Communicate technical concepts and findings to non-technical audiences in a clear and concise manner.
   • Participate in team meetings, code reviews, and knowledge-sharing sessions to foster a collaborative environment.

Skills Required:

• Proficiency in programming languages such as Python, R, or Java, with a strong emphasis on Python for data manipulation and machine learning.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) for model development and deployment.
• Solid understanding of data structures, algorithms, and statistical methods used in machine learning.
• Knowledge of software engineering best practices, including version control (e.g., Git), testing, and agile methodologies.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services for scalable and distributed computing.
• Ability to work independently and collaboratively in a team environment, with strong problem-solving and analytical skills.
• Excellent communication skills and the ability to convey complex technical concepts to diverse audiences.

Other Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Previous experience (minimum 3-5 years) in AI/ML engineering roles, with a proven track record of developing and deploying machine learning solutions.
• Strong attention to detail and a commitment to delivering high-quality, robust AI/ML applications.
• Passion for innovation and continuous learning in the field of artificial intelligence and machine learning.

Additional Information:

• Competitive salary and benefits package.
• Opportunities for professional growth and career development in a dynamic and innovative work environment.

Connect: https://www.linkedin.com/in/dreakansh-extrahiring/