📌 Job Summary

Company: KeyValue Software Systems Private Limited

Role: Machine Learning Engineer

Location: Kochi/Cochin, Kerala, India

Experience Required: 3 – 7 Years

Posted On: 28/01/2026

Skills Required: Python, TensorFlow/PyTorch/scikit‑learn, ML model design & deployment, supervised & unsupervised learning, NLP & LLM foundations, data preprocessing, evaluation, and collaboration with cross‑functional teams. :contentReference[oaicite:0]{index=0}

🧠 Job Description

KeyValue Software Systems is seeking a talented Machine Learning Engineer to design, build, and deploy machine learning models that address real‑world challenges such as recommendation engines, fraud detection systems, and NLP‑based applications. You will work closely with data scientists, software engineers, and product managers to translate business requirements into robust, scalable solutions. :contentReference[oaicite:1]{index=1}

Main Responsibilities

• Design, develop, and deploy machine learning models for a variety of applications including NLP and predictive systems. :contentReference[oaicite:2]{index=2}
• Collaborate with data scientists and engineering teams to understand requirements and define technical specifications. :contentReference[oaicite:3]{index=3}
• Prepare and cleanse data for model training and validation tasks. :contentReference[oaicite:4]{index=4}
• Train, test, and evaluate models for accuracy, performance, and scalability. :contentReference[oaicite:5]{index=5}
• Monitor models in production, troubleshoot issues, and optimize performance over time. :contentReference[oaicite:6]{index=6}
• Stay updated on latest research trends and machine learning best practices. :contentReference[oaicite:7]{index=7}
• Clearly communicate technical insights and model decisions to technical and non‑technical stakeholders. :contentReference[oaicite:8]{index=8}

💼 Salary Expectations (India)

At KeyValue Software Systems, engineering and analytics pay tends to be competitive with industry standards for mid‑level and senior technical roles. Senior software and AI/ML roles in India often range from approximately ₹13.8 LPA to ₹23 LPA+ depending on experience and impact, with similar roles in AI/ML often earning in the upper part of that range for high‑growth product‑centric companies. :contentReference[oaicite:9]{index=9}

📘 How to Prepare for This Role

• Python Expertise: Build strong proficiency in Python with focus on data handling (pandas, NumPy). :contentReference[oaicite:10]{index=10}
• ML Frameworks: Hands‑on experience with libraries such as TensorFlow, PyTorch, and scikit‑learn. :contentReference[oaicite:11]{index=11}
• Model Lifecycle: Practice preparing datasets, feature engineering, model training, tuning, and evaluation. :contentReference[oaicite:12]{index=12}
• NLP & LLM Fundamentals: Understand basics of text preprocessing, embeddings, and transformer model use‑cases. :contentReference[oaicite:13]{index=13}
• Production Deployment: Familiarize with REST APIs, containerization (e.g., Docker), and MLOps tools. :contentReference[oaicite:14]{index=14}
• Communication: Practice explaining technical concepts to cross‑functional counterparts. :contentReference[oaicite:15]{index=15}

🏢 About KeyValue Software Systems

KeyValue Software Systems is a product engineering and technology startup that focuses on building scalable enterprise‑grade software and AI solutions. The company emphasizes a strong culture of continuous learning and collaborative engineering, with teams working across machine learning, cloud‑native development, and product innovation. Employee ratings show positive overall reviews, reflecting an engaging and growth‑oriented work environment. :contentReference[oaicite:16]{index=16}

🌍 Company Culture & Reviews

KeyValue Software Systems has a strong overall company rating (around ~4.2/5) from employees, suggesting a supportive culture with ample opportunities for learning and ownership. Reviews often highlight growth potential, open‑minded teamwork, and modern tech stacks. :contentReference[oaicite:17]{index=17}

🔥 Industry Demand & Trends

Machine learning and AI engineering hold strong demand across sectors in 2026 as businesses increasingly adopt data‑driven decision‑making, automation, and predictive systems. Roles requiring proficiency in Python, ML frameworks, LLMs, and scalable system design continue to be among the highest growth areas in technology hiring. :contentReference[oaicite:18]{index=18}

⚖️ Pros & Cons of This Role

Pros	Cons
Work on cutting‑edge machine learning & NLP models	Expectations for cross‑disciplinary technical depth
Collaborate with experienced engineers and architects	Salary varies by experience and market forces
Engaging startup‑like product environment	Rapid pace may require quick learning and adaptation

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