Job Description

Nisum is a leading global digital commerce firm headquartered in California, with services spanning digital strategy and transformation, insights and analytics, blockchain, business agility, and custom software development. Founded in 2000 with the customer-centric motto "Building Success Together," Nisum has grown to over 1,800 professionals across the United States, Chile, Colombia, India, Pakistan, and Canada. A preferred advisor to leading Fortune 500 brands, Nisum enables clients to achieve direct business growth by building the advanced technology they need to reach end customers in today’s world, with immersive and seamless experiences across digital and physical channels.

What You'll Do: This is an ideal position for a highly motivated and client-focused individual who thrives in a fast-paced, entrepreneurial, and growth-driven environment. The AI/ML Engineer is responsible for driving innovation, leading AI research and development, and implementing cutting-edge machine learning solutions to enhance business operations and customer experiences. This role combines strategic vision, hands-on technical expertise, and leadership to ensure the successful deployment of AI-driven solutions.

AI/ML Research & Development

• Design, train, and evaluate deep learning architectures, including CNNs, RNNs, LSTMs, and transformer-based models.
• Develop and deploy generative AI-based solutions for content search, recommendation engines, and service orchestration.
• Implement and optimize AI frameworks to ensure efficient model training and deployment.
  
  

Product Innovation & Data Science Strategy

• Develop AI/ML-based accelerators and frameworks to optimize operations and enhance customer solutions.
• Drive the roadmap for AI initiatives, ensuring the adoption of scalable and efficient machine learning models.
• Explore and integrate emerging AI technologies to maintain a competitive edge in digital transformation.
  
  

Leadership & Mentorship

• Mentor and guide teams on machine learning best practices, generative AI, and model deployment.
• Collaborate with engineering, data science, and business teams to integrate AI-driven solutions into production.
• Foster a culture of innovation and experimentation within the AI/ML team.
  
  

Stakeholder & Client Engagement

• Partner with senior executives, product managers, and engineering teams to define AI strategies.
• Engage with customers to identify AI-driven opportunities and deliver tailored solutions.
• Present AI/ML advancements and business impact to stakeholders and leadership teams.
  
  

What You Know

• 10+ years of experience in AI, machine learning, and data science.
• Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras.
• Proficiency in programming languages like Python, C++, and Java.
• Experience with cloud platforms (AWS, GCP, Azure) and distributed AI systems.
• Hands-on experience in natural language processing, generative AI models, and computer vision.
• Proven track record of developing AI/ML solutions from research to production.
• Familiarity with Kubernetes, Docker, and cloud-native AI model deployment.
  
  

Additional Requirements

• Strong leadership abilities, including the ability to manage and motivate diverse teams across multiple geographies.
• Business acumen to translate client needs into actionable AI strategies.
• Detail-oriented and highly organized, with the ability to manage complex processes and multi-faceted client needs.
  
  

Education

• MS in Computer Science, AI/ML, Data Science, or a related field.
  
  

Benefits

In addition to competitive salaries and benefits packages, Nisum offers its employees some unique and fun extras:

• Health Benefits: Comprehensive health coverage, including in-patient, out-patient care, and life insurance.
• Work-Life Balance: Flexible paid time off for medical leave, pilgrimage, family planning, and personal time.
• Incentives & Rewards: Financial rewards, interest-free loans, extra salary, car financing, and savings programs.
• Development & Training: Structured training, study sponsorships, international trips, and appreciation programs.
• Corporate Appliances: Essential work tools, including a laptop, internet device, and accessories.
• Office Facilities: Gym, gaming room, free lunches, and a vibrant work environment.