The Role
Design, develop, train, deploy, and maintain production-grade AI/ML solutions. Build predictive, classification, recommendation, and automation systems; prepare and feature-engineer data; create scalable model-serving APIs; deploy with containers and CI/CD; monitor model performance and drift; apply Responsible AI principles; collaborate with product, engineering, and stakeholders in Agile delivery.
Summary Generated by Built In
What You ‘ll Do
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
- Classification Models
- Recommendation Systems
- Intelligent Automation
- 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.
- Monitor model performance, prediction quality, model drift, data quality, and retraining requirements.
- 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
- Feature Engineering
- Model Evaluation
- Model Validation
- Predictive Analytics
- Hands-on experience with Deep Learning frameworks including:
- TensorFlow
- PyTorch
- Keras
- Strong expertise working with:
- NumPy
- Pandas
- 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
- Microservices Architecture
- CI/CD Pipelines
- Git Version Control
- Experience working with cloud platforms including:
- Microsoft Azure
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Azure Machine Learning
- 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:
- Large Language Models (LLMs)
- Generative AI
- Natural Language Processing (NLP)
- Computer Vision
- Hands-on experience with MLOps platforms including:
- MLflow
- Kubeflow
- Apache Airflow
- Azure Machine Learning
- AWS SageMaker
- Familiarity with Big Data technologies including:
- Apache Spark
- Hadoop
- Understanding of:
- Responsible AI
- AI Ethics
- Bias Detection
- 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!
Skills Required
- 3+ years experience in Artificial Intelligence, Machine Learning, Applied AI, or AI Engineering
- Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related discipline
- Proficiency in Python (mandatory)
- Proficiency with SQL
- Hands-on experience with NumPy and Pandas
- Experience with deep learning frameworks: TensorFlow, PyTorch, Keras
- Experience building and deploying REST APIs and model-serving applications using Flask or FastAPI
- Experience with Docker, microservices architecture, CI/CD pipelines, and Git
- Experience deploying production ML solutions on cloud platforms (Azure, AWS, or GCP) and familiarity with Azure ML or AWS SageMaker
- Strong analytical, debugging, stakeholder management, and communication skills
- Exposure to Java, C++, or Scala
- Experience with LLMs, Generative AI, NLP, or Computer Vision
- Hands-on experience with MLOps platforms (MLflow, Kubeflow, Apache Airflow)
- Familiarity with Big Data technologies (Apache Spark, Hadoop)
- Domain experience in Manufacturing, Automotive, Supply Chain, Quality Engineering, Financial Services, Healthcare, or Enterprise Analytics
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The Company
What We Do
TVS Next is a digital technology and consulting company that accelerates growth for clients through digital transformation and enterprise modernization solutions, leveraging software engineering, intelligence, and experience design.
