AI Engineer

Keka Technologies Private Limited; Chennai District; Hybrid; INR 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

Career growth opportunities

Salary benchmarking

Job summary

Keka Technologies Private Limited is seeking an AI/ML Engineer to design, develop, train, and deploy enterprise-grade AI solutions in Chennai. The role emphasizes scalable data pipelines, model serving, and collaboration with cross-functional teams.

The candidate should have 3+ years in AI/ML, strong Python, and experience with TensorFlow/PyTorch, REST APIs, Docker, and AWS SageMaker in a hybrid work environment.

Qualifications

• Bachelor's or Master's in Computer Science, AI, or Data Science.
• 3+ years in AI/ML, technology stack familiarity.
• Strong programming in Python.
• Experience with ML frameworks like TensorFlow or PyTorch.
• Experience building REST APIs and deploying ML models.

Responsibilities

• Design, train, and deploy AI/ML models for business problems.
• Build predictive analytics, recommendation, and decision-support solutions.
• Prepare data pipelines and feature engineering.
• Develop model-serving APIs and containerized deployments.
• Collaborate with product and engineering teams in Agile environment.

Skills

Python

SQL

Deep Learning

TensorFlow

PyTorch

REST APIs

Docker

AWS SageMaker

Data preprocessing

MLOps

Education

Bachelor's or Master's in Computer Science / Data Science / AI

Tools

MLflow

Docker

Job description

You will join our high performance Data & AI team and play a key role in designing, developing, deploying, and maintaining enterprise-grade Artificial Intelligence solutions that drive business innovation, intelligent automation, and digital transformation.

• Design, develop, train, and deploy AI and Machine Learning models to solve real-world business problems.
• Build intelligent AI solutions including:
• Predictive Analytics
• Recommendation Systems
• Decision Support Systems
• Apply supervised and unsupervised machine learning techniques based on business requirements.
• Evaluate, validate, and optimize AI models to improve accuracy, robustness, scalability, and business value.
• Work with structured and unstructured datasets to prepare data for AI model training, validation, and inference.
• Design and optimize data pipelines supporting AI and machine learning workflows.
• Perform feature engineering, data transformation, cleansing, and validation activities.
• Utilize Python, SQL, NumPy, Pandas, and related libraries to process and analyze large-scale datasets.
• Deploy AI models using REST APIs, microservices, and cloud-native deployment architectures.
• Develop scalable model-serving APIs using Flask, FastAPI, or similar frameworks.
• Utilize Docker and CI/CD pipelines to enable automated, secure, and repeatable AI deployments.
• Ensure deployed AI solutions meet enterprise standards for scalability, reliability, performance, security, and maintainability.
• Troubleshoot production issues related to AI models, inference services, APIs, and data pipelines.
• Document AI models, technical designs, assumptions, experiments, and deployment procedures.
• Apply Responsible AI principles including fairness, explainability, bias mitigation, governance, and ethical AI practices.
• Collaborate with Product Managers, Data Engineers, Software Engineers, Data Scientists, and Business Stakeholders to deliver enterprise AI solutions.
• Translate complex business requirements into scalable AI-driven applications and intelligent automation solutions.
• Participate in Agile ceremonies, architecture discussions, code reviews, and continuous improvement initiatives.
• Stay updated with emerging technologies in Artificial Intelligence, Machine Learning, Generative AI, and Cloud Computing.

What We Seek In You

• 3+ years of experience in Artificial Intelligence, Machine Learning, Applied AI, or AI Engineering.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
• Strong programming expertise in:
  • Python (Mandatory)
  • SQL
  • Exposure to Java, C++, or Scala is an added advantage.
• Strong understanding of:
  • Supervised Learning
  • Unsupervised Learning
  • Predictive Analytics
• Hands-on experience with Deep Learning frameworks including:
  • TensorFlow
  • PyTorch
• Strong expertise working with:
  • NumPy
  • SQL
  • Structured and Unstructured Data
• Experience building and deploying production-grade AI and Machine Learning solutions.
• Experience developing REST APIs and model-serving applications using:
  • Flask
  • FastAPI
• Hands-on experience with:
  • Docker
• Experience working with cloud platforms including:
  • Amazon Web Services (AWS)
  • AWS SageMaker
• Strong analytical thinking, debugging, and problem-solving capabilities.
• Excellent communication, stakeholder management, and collaboration skills.
• Ability to convert business challenges into scalable AI-powered solutions.
• Strong ownership mindset with focus on quality, security, scalability, and continuous improvement.

Preferred Qualifications

• Experience with:
  • Generative AI
  • Natural Language Processing (NLP)
  • Computer Vision
• Hands-on experience with MLOps platforms including:
  • MLflow
  • AWS SageMaker
• Familiarity with Big Data technologies including:
  • Hadoop
• Understanding of:
  • Responsible AI
  • AI Ethics
  • Explainable AI (XAI)
  • AI Governance
• Experience deploying scalable cloud-native AI services using containerized and microservices architectures.
• Experience working in Agile and Scrum delivery environments.
• Domain experience within Manufacturing, Automotive, Supply Chain, Quality Engineering, Financial Services, Healthcare, or Enterprise Analytics is highly preferred.

Life At Next

At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth.

Perks Of Working With Us

• Clear objectives to ensure alignment with our mission, fostering your meaningful contribution.
• Abundant opportunities for engagement with customers, product managers, and leadership.
• You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions.
• Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory.
• Embrace continuous learning and upskilling opportunities through Nexversity.
• Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance.
• Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones.
• Embark on accelerated career paths to actualize your professional aspirations.

Who we are?

We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers.

Join our passionate team and tailor your growth with us!