ML Engineer

Keka Technologies Private Limited; Chennai District; Hybrid; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

Career development & mentorship

Job summary

Keka Technologies Private Limited is seeking an experienced ML Engineer to build next-generation AI-powered Digital Twin solutions for smart manufacturing. You will design and deploy ML models, implement robust feature pipelines, and operate real-time data streams from OT/IIoT devices.

You will collaborate with architects, SMEs, and data engineers to deploy scalable AI across manufacturing plants. The role emphasizes production-ready deployment, monitoring, and continuous improvement, with

Qualifications

• 3 to 5 years of experience in Machine Learning Engineering, Applied AI, Data Science, or AI Engineering.
• Strong programming experience in Python and SQL; Go exposure is a plus.
• Hands-on ML model development with scikit-learn, XGBoost, LightGBM, PyTorch or TensorFlow.

Responsibilities

• Design, develop, and deploy ML solutions for manufacturing and industrial problems.
• Build predictive and prescriptive models for operations and production optimization.
• Develop feature engineering pipelines and scalable training datasets.
• Maintain real-time ML pipelines using OT telemetry and IIoT devices.
• Build and maintain MLOps capabilities including drift monitoring and automated retraining.
• Collaborate with product architects, engineers, and data teams to deliver enterprise AI.

Skills

Python

SQL

Go

ML / AI

Time Series

MLOps

Streaming Data

Kafka

Spark

Azure

Education

Bachelor's or Master's in CS/AI/DS/Engineering

Tools

MLflow

SageMaker

Databricks ML

Plotly

Grafana

LangChain

LangGraph

Ray

Vector Databases

TimescaleDB

Job description

You will join our high performance Data & AI team and play a key role in building next-generation AI-powered Digital Twin solutions that enable smart manufacturing, Industry 4.0/5.0 transformation, and intelligent factory operations.

• Design, develop, and deploy machine learning solutions that solve complex manufacturing and industrial business problems.
• Build predictive and prescriptive machine learning models for manufacturing operations and production optimization.
• Predictive Maintenance
• Predictive Quality
• Anomaly Detection
• Throughput Prediction
• Cycle Time Prediction
• Capacity Prediction
• Production Scheduling Optimization
• Operator Assistance Recommendations
• Station Twin
• Product Twin (SFC)
• Line Twin
• Warehouse Twin
• Build AI capabilities supporting:
• Process Deviation Detection
• Robot Behavior Prediction
• Torque Anomaly Detection
• Vision Inspection Optimization
• Yield Prediction
• Simulation Calibration
• Design and develop feature engineering pipelines, scalable training datasets, and streaming data transformation workflows.
• Build and maintain real-time machine learning pipelines using operational technology (OT) telemetry, IIoT devices, and streaming platforms.
• Collaborate with Product Architects, Manufacturing SMEs, Software Engineers, and Data Engineers to deliver enterprise-grade AI solutions.
• Build and maintain MLOps capabilities including:
• Feature Store
• Drift Monitoring
• Automated Retraining Workflows
• CI/CD for Machine Learning
• Work with structured, unstructured, time-series, and streaming datasets to develop scalable AI solutions.
• Ensure production-ready deployment, monitoring, scalability, and continuous improvement of AI models.
• Support digital transformation initiatives across manufacturing plants through intelligent automation and advanced analytics.
• Participate in plant visits to understand manufacturing operations, industrial workflows, and operational challenges.

What We Seek In You

• 3 to 5 years of experience in Machine Learning Engineering, Applied AI, Data Science, or AI Engineering.
• Strong programming expertise in:
• Python
• SQL
• Exposure to Go programming is an added advantage.
• Strong hands-on experience developing machine learning models using:
• Scikit-learn
• XGBoost
• LightGBM
• PyTorch or TensorFlow
• Strong understanding of:
• Time Series Forecasting
• Classification
• Regression
• Anomaly Detection
• Hyperparameter Tuning
• Experience building production‑grade MLOps solutions using one or more of:
• MLflow
• SageMaker
• Databricks ML
• Strong understanding of:
• Drift Monitoring
• Feature Store
• Experience working with enterprise data platforms including:
• Kafka
• Spark (Preferred)
• TimescaleDB
• Exposure to Microsoft Azure cloud services including:
• Experience working with real‑time streaming data and industrial telemetry pipelines.
• Exposure to visualization frameworks such as:
• Plotly
• Grafana
• Familiarity with modern AI frameworks including:
• LangChain
• LangGraph
• Ray
• Vector Databases
• Strong understanding of Digital Twin concepts, Industrial AI, and intelligent manufacturing systems.
• Experience working in one or more of the following domains:
• Manufacturing
• Smart Factory
• Robotics
• Supply Chain Analytics
• Quality Engineering
• Exposure to:
• OPC‑UA
• MQTT
• PLC Signals
• Digital Twin Platforms
• Time Series Analytics
• Computer Vision for Manufacturing
• Strong analytical thinking, problem‑solving, and debugging capabilities.
• Ability to work with large‑scale real‑time streaming datasets and production AI systems.
• Excellent communication, stakeholder management, and documentation skills.
• Strong ownership mindset with the ability to deliver production‑ready AI solutions.
• Willingness to travel to manufacturing plants for business understanding and solution validation.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Electronics, or a related Engineering discipline.

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!