The Role
Develop, validate, and deploy machine learning and AI solutions using enterprise datasets. Perform EDA, feature engineering, predictive modeling, model evaluation, data pipeline construction, and visualization. Collaborate with engineers and business stakeholders to deliver production-ready analytics and dashboards, and research emerging AI techniques.
Summary Generated by Built In
What You ‘ll Do
You will join our high-performance Data & AI team and play a key role in developing advanced analytics, machine learning, and AI-driven solutions that enable data-driven decision-making and accelerate digital transformation across the enterprise.
- Collect, clean, transform, and analyze structured and unstructured data from multiple business and technology sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and business opportunities.
- Develop data-driven insights and recommendations that support strategic business decisions.
- Perform statistical analysis, hypothesis testing, root cause analysis, and predictive analytics.
- Design, develop, validate, and deploy machine learning models for real-world business use cases.
- Build predictive, classification, regression, clustering, recommendation, and forecasting models.
- Evaluate model performance using appropriate statistical metrics and optimize models for accuracy, scalability, and reliability.
- Research, prototype, and implement emerging AI and Machine Learning techniques to solve complex business problems.
- Develop feature engineering pipelines, data transformation workflows, and reusable machine learning datasets.
- Build and maintain scalable data pipelines for analytics and AI applications.
- Work with large enterprise datasets using SQL, cloud platforms, and modern data engineering frameworks.
- Ensure data quality, consistency, governance, and documentation across analytical workflows.
- Develop interactive dashboards, executive reports, and business intelligence solutions using modern visualization tools.
- Present analytical findings, business insights, and AI recommendations to technical and business stakeholders.
- Collaborate with Data Engineers, Software Engineers, Business Analysts, Product Managers, and Business Leaders to deliver end-to-end AI solutions.
- Participate in enterprise AI, analytics, and digital transformation initiatives across multiple business domains.
- Document analytical methodologies, machine learning models, and solution architectures.
- Stay updated with emerging technologies in Artificial Intelligence, Machine Learning, Data Science, and Generative AI.
What We Seek In You
- 3+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline.
- Strong programming expertise in:
- Python
- SQL
- Exposure to R is an added advantage.
- Strong understanding of:
- Statistics
- Probability
- Machine Learning Algorithms
- Predictive Analytics
- Time Series Forecasting
- Feature Engineering
- Model Evaluation
- Data Mining
- Hands-on experience with Machine Learning frameworks including:
- Scikit-learn
- TensorFlow
- PyTorch
- XGBoost
- Experience building production-ready Machine Learning models and AI solutions.
- Strong expertise in SQL and relational database concepts.
- Experience working with databases including:
- SQL Server
- PostgreSQL
- Oracle
- MySQL
- Good understanding of Data Warehousing concepts and analytical data models.
- Experience developing dashboards and business intelligence reports using:
- Power BI
- Tableau
- Matplotlib
- Seaborn
- Strong data visualization and executive-level storytelling capabilities.
- Experience working with cloud platforms such as:
- Microsoft Azure
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Exposure to Big Data technologies including:
- Apache Spark
- Databricks
- Hadoop
- Strong analytical thinking, critical reasoning, and problem-solving capabilities.
- Excellent communication, presentation, and stakeholder management skills.
- Ability to translate complex data into actionable business insights.
- Experience delivering business-focused analytical solutions in production environments.
- Strong attention to detail with the ability to work independently and collaboratively.
- Passion for continuous learning and adopting emerging AI technologies.
Preferred Qualifications
- Experience with Generative AI and Large Language Models (LLMs).
- Hands-on experience with AI platforms such as:
- Azure OpenAI
- OpenAI
- Claude
- Gemini
- Experience implementing Retrieval-Augmented Generation (RAG) solutions for enterprise applications.
- Familiarity with Vector Databases including:
- Pinecone
- FAISS
- ChromaDB
- Experience in Natural Language Processing (NLP), Deep Learning, or Computer Vision.
- Exposure to MLOps concepts including:
- Model Deployment
- Model Monitoring
- ML Lifecycle Management
- CI/CD for Machine Learning
- Experience working within Manufacturing, Automotive, Supply Chain, Healthcare, Financial Services, or Enterprise Analytics domains 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 of experience in Data Science, Machine Learning, AI, or Advanced Analytics
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related discipline
- Strong programming expertise in Python
- Strong programming expertise in SQL
- Exposure to R
- Strong understanding of statistics, probability, machine learning algorithms, predictive analytics, time series forecasting, feature engineering, model evaluation, and data mining
- Hands-on experience with machine learning frameworks including Scikit-learn, TensorFlow, PyTorch, XGBoost
- Experience building production-ready machine learning models and AI solutions
- Strong expertise in SQL and relational database concepts
- Experience working with databases: SQL Server, PostgreSQL, Oracle, MySQL
- Good understanding of data warehousing concepts and analytical data models
- Experience developing dashboards and BI reports using Power BI, Tableau, Matplotlib, Seaborn
- Experience working with cloud platforms such as Microsoft Azure, AWS, GCP
- Exposure to Big Data technologies including Apache Spark, Databricks, Hadoop
- Experience delivering business-focused analytical solutions in production environments
- Strong analytical thinking, stakeholder management, communication, and ability to translate complex data into actionable insights
- Strong attention to detail and ability to work independently and collaboratively
- Passion for continuous learning and adopting emerging AI technologies
- Experience with Generative AI and Large Language Models (LLMs)
- Hands-on experience with AI platforms such as Azure OpenAI, OpenAI, Claude, Gemini
- Experience implementing Retrieval-Augmented Generation (RAG) solutions
- Familiarity with vector databases such as Pinecone, FAISS, ChromaDB
- Experience in NLP, deep learning, or computer vision
- Exposure to MLOps concepts including model deployment, monitoring, lifecycle management, and CI/CD for ML
- Experience in Manufacturing, Automotive, Supply Chain, Healthcare, Financial Services, or Enterprise Analytics domains
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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.
