Hire the Top 2% of
Remote Ai/Ml Model Lifecycle Management Developers
in India

nilesh M.

Remote Ai/ml model lifecycle management developer in India (UTC-7)

I am an accomplished engineering leader with 20+ years in Fintech, Travel, and e-Commerce. I excel in cross-cultural team leadership, rapid product launches, and scaling for hyper-growth. My career spans pivotal roles at ThoughtWorks, Cleartrip, SAP-Ariba, and Simpl. I lead strategic roadmaps and cloud-native solutions at Simpl and Cleartrip, specializing in real-time data processing and machine learning. At Simpl, I reduced processing times to 60 milliseconds, boosting user approval and TPV. At Cleartrip, I enhanced a data platform, increasing conversions by 0.75% and implementing advanced analytics. I optimized AWS costs by 13%, improved search efficiency by 80%, and managed a monitoring system handling millions of documents with 15-millisecond latency. I also streamlined Cleartrip’s release cycles to weekly, implementing agile CI/CD practices with a 15-minute build cycle. I thrive on designing and architecting platforms, solutions, and productivity tools. My journey into distributed systems since 2015 has fueled my curiosity and love for exploring white papers and books on the subject. I enjoy programming, problem-solving, and collaborating with like-minded individuals. Deeply engaged in the tech community, I attend meet-ups to discuss cutting-edge topics in distributed systems and language advancements, while currently focusing on mastering MLOps principles for deploying machine learning models effectively. I have extensive SaaS product experience, contributing to Mingle, an agile project management tool, and Twist, a BDD test automation tool, at ThoughtWorks Studios. At SAP, I developed SAP Logistics Business Network and SAP Business Network Freight Collaboration, leading the engineering team to design scalable features for intercompany logistics collaboration, optimize cloud deployment for global accessibility, and enhance the user interface for managing logistics operations. Beyond work commitments, I find joy in photography, birdwatching, swimming, cycling, yoga, and bodyweight exercises. I am also an enthusiastic trekker, having explored extensive regions of the Western Ghats. Reach out to me to explore consulting opportunities, discuss engineering challenges, or exchange insights on technology and entrepreneurship. I'm open to talking about; - Hiring and Building Product Engineering Teams - Provided mentorship to build high-quality engineering teams for product companies, fostering growth and development within the team. - Product Development - Data Engineering Platform and MLOps capabilities - Strategic Leadership

Ravi .

Vetted Ai/ml model lifecycle management developer in India (UTC+6)

Seasoned AI/ML Specialist with 16 years of experience, specializing in AI-ML project and product strategy, program management, and quality assurance execution. Focused on developing advanced NLP applications using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). Expertise in AI-ML application development life cycle management, creating robust and scalable solutions. Proven skills in Python backend development and extensive experience in test automation with Selenium, Cypress, and Playwright. ISTQB certified and proficient in Agile methodologies, known for effective collaboration with cross-functional teams.

Pavan .

Vetted Ai/ml model lifecycle management developer in India (UTC-7)

Product Manager with 5 years of experience in Product management, Project management and full Product lifecycle ownership including launching 0-1 products leading cross-functional teams at startups. Experience working and collaborating with technical teams, utilizing LLMs, and aligning product vision with business objectives. Holds a Master’s degree in Data Science with practical experience. Skilled in market research, roadmap planning, and feature prioritization. Collaborated with international teams in USA and the Netherlands, to drive product development in cross-cultural environments.

Manimaran P.

Vetted Ai/ml model lifecycle management developer in India (UTC+6)

I am a passionate Data Scientist / Machine Learning Engineer (MLE) with 7+ years of experience building projects involving Data Analysis, Optical Character Recognition, Image processing, Deep Learning, Natural Language Processing, Computer Vision and Generative AI Visit my website ([mani2106.github.io](http://mani2106.github.io/)) for more of my work,

Raghav P.

Vetted Ai/ml model lifecycle management developer in India (UTC+6)

Highly experienced Full-Stack Data Scientist / Machine Learning Engineer and Software Developer, delivering production ready ML models and customised softwares to automate business processes and decision making. With an added advantage of attaining MBA from India's finest B-school, I build tech powered solutions to ensure maximum profitability for any business venture. Skills : ● Data Science & Machine Learning : Supervised ML, Linear Regression, Decision Tree, Prompt Engineering, Hypothesis Testing, Statistics, Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering, Data Visualization, SQL, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly, Dash, Microsoft Excel, Metabase, AWS Athena & Sagemaker, Google BigQuery, Unsupervised ML, Neural Nets, NLP, Large Language Models (LLM), GPT, Text Embedding, Vector Databases, PyTorch, fastai, TensorFlow, OpenAI API, Generative AI (GenAI) ● Programming : Python, MySQL, PostgreSQL, HTML, CSS, Flask, Heroku, APIs, Git, AWS S3 & EC2, JavaScript, jQuery, Java, Werkzeug WSGI, Leaflet.js, Folium, GeoPandas, Google Maps API & Sheets API, Bootstrap Professional Work : 1. Engineered a suite of cutting-edge ensemble ML models, revolutionizing underwriting processes for personal loan products a major FinTech Lender in India. 2. Developed and deployed 6 ML models for credit-risk scorecard, using 5 data sources (Bureau, Bank Statement, SMS, Smartphone App Info and Demography), improving risk spread by 1200%. 3. Devised NLP based models (Passive Aggressive Classifier and XGBoost Classifier with TFiDF Vectorizer) for classification of SMS, improving recall by 35% and accuracy by 60%, and saved 36 man-hours daily, processing over 200 Mn SMS/day. 4. Created LLM based classifier models using Prompt Engineering on ChatGPT (OpenAI), Mistral AI (Open Source) and other open source models. Deployed using AWS Sagemaker. 5. Crafted an LLM based Law ChatBot that answers to Lawyer's questions pertaining to any specified PDF file of a Legal Document. 6. Built an in-house MLOps infrastructure with AWS Sagemaker, enhancing model integration. 7. Engineered 330+ features from SMS data to emulate metrics including cash flow, lifestyle and financial literacy indicators. Included steps like Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering. 8. Designed comprehensive daily and monthly model monitoring dashboards using Flask-Python, Metabase and SQL tables, improved response time to anomalies by 75%, enhancing overall model reliability and performance. 9. Designed a Customer Loyalty Program and delivered via a web and Android app, over 2500 DAU, rated 4.6 on play store for a manufacturer and distributor of PVC Plumbing Systems in Central India. 10. Increased territorial penetration by over 25% by building automated interactive GIS sales dashboard for a wholesale business in India. 11. Achieved 100% monthly revenue target completion by creating Business Intelligence Dashboard – Google Apps Script. 12. Reduced total credit by 20% in five months by building a Python-bot that sends regular WhatsApp messages to debtors. 13. Saved annual recurring cost of ₹25 lakh+ by automating data collection for a hedge fund using Yahoo Finance API & Python. 14. Cut time from over 4 hours to 2 clicks by developing a GIS-enabled web application for new-license territory discovery for a developer and licensor of Escape Room Game Designs in USA. Personal Projects : 1. Developed a Fake News Classifier using TfIdf Vectorizer and Passive Aggressive Classifier - ML, pandas, scikit-learn. 2. Created a Spam Email Classifier using Naïve Bayes and XGBoost Classifiers - ML, NumPy, seaborn. 3. Designed a Cat Image Classifier using multi-layer neural network - DL, NumPy, Matplotlib, h5py, PIL, SciPy. 4. Developed a web app to manage portfolio of stock with real-time prices using IEX API -SQLite, Flask, HTML, CSS, JS. 5. Built a terminal-run card game called Declare - Python. Education : Computer Science and Data Science Masters (Self-Learned) Major Electives: Computer Science: MIT 6.0001, MIT 6.0002, Automate the Boring Stuff with Python, Harvard CS50, Harvard CS50 - Web Development, Intro. to Algorithms, Design and Analysis of Algorithms, Software Development Lifecycle, GIT and GitHub, Flask for Python, The Python Mega Course, Data Structures, Analysis of Algorithms, The Odin Project etc. Data Science: Stanford CS229, Stanford Machine Learning (CS229A), Data Science path on Codecademy.com, Data Science and Machine Learning Bootcamp, Neural Networks and Deep Learning, Deep Learning with PyTorch: Zero to GANs, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

jithin K.

Vetted Ai/ml model lifecycle management developer in India (UTC+6)

Currently working as a backend developer at TCS, specializing in developing advanced Gen AI chatbots and optimizing workflows with the Langchain framework. Skilled in implementing machine learning solutions for chatbots, automated processes, conversational AI, and ticket routing services.

Gourab B.

Vetted Ai/ml model lifecycle management developer in India (UTC-8)

Hi, I am a seasoned Machine Learning Engineer and Data Science Researcher. I specialize in analytics, natural language processing, and machine learning, with over 5 years of professional experience. Proficient in utilizing Python, R, and relevant tools, I conduct advanced predictive modeling and uncover insightful trends, patterns, and correlations within datasets, enabling data-driven decision making processes. Check out my Portfolio at: https://bagchigourab.github.io

Christy J.

Remote Ai/ml model lifecycle management developer in India (UTC+6)

🚀 Driving AI Innovation | Head of Data & AI | Generative AI | ML/LLM Architect | Mentor I’m Christy Abraham Joy, a passionate AI leader with 9+ years of experience building cutting-edge AI and data science solutions across e-commerce, healthcare, and enterprise platforms. As the Head of Data & AI at Bluehour, I lead innovation at the forefront of Generative AI, building automation products that help online sellers scale effortlessly—from intelligent product photography to auto-tagging and SEO optimization using advanced LLMs and vision models. With hands-on expertise in Llama3, Stable Diffusion, BLIP, LangChain, and ControlNet, I specialize in turning complex ML/AI ideas into scalable solutions. My work spans from medical coding LLMs (ICD-10/CPT from summaries) to real-time background enhancement engines and recommendation systems using structured and unstructured data pipelines. I’ve also built and led high-performing engineering teams, driven Agile transformations, and architected backend platforms with 80+ APIs and CI/CD pipelines using AWS, Azure, Django, and GitHub Actions. Outside of work, I mentor budding AI talent through KaggleX, Kerala Start-Up Mission, and Luminar Technolab, empowering the next generation of technologists.Area of Expertise Machine Learning | Artificial Intelligence | Deep Learning | Natural Language Processing (NLP) | Computer Vision | Neural Networks | Data Science | Big Data | Data Mining | Statistical Modeling | Algorithm Development | Programming Languages (Python, Java, C++) | Frameworks (TensorFlow, PyTorch, Keras) | Cloud Computing | AWS, Azure, Google Cloud | Data Preprocessing | Model Training | Model Evaluation | Model Deployment | Data Visualization | Hadoop | Spark | Collaborative Filtering | Dimensionality Reduction | Ensemble Learning | Feature Selection | Hyperparameter Tuning

Raja B.

Remote Ai/ml model lifecycle management developer in India (UTC-7)

I am deeply passionate about creating products that provide meaningful experiences, and I bring eight years of diverse experience in B2B SaaS, B2C retail, and e-commerce. I’ve had the privilege of bootstrapping a direct-to-consumer (D2C) brand (https://vanchai.in), and I’ve guided a SaaS product (https://www.awajahi.com) from achieving product-market fit to prototyping and successful go-to-market integration. Throughout my career in product engineering, I’ve been fortunate to be part of two unicorn engineering teams as well as mid-sized and enterprise engineering teams. Over the past five years, I’ve focused on leading and managing the entire application development lifecycle, which has been immensely rewarding. Key Areas of Focus: - Team Management & Prioritization: I understand the importance of creating clear product roadmaps, prioritizing backlogs thoughtfully, and conducting thorough code reviews. I value my role in managing performance cycles and fostering a culture of engagement and support within teams. - Strategic Planning: I’m committed to ensuring that user research informs our product design, and I embrace A/B testing in retail to understand what truly resonates with customers. Establishing fair and effective SaaS pricing strategies is also a priority for me. - Product-led Growth Strategies: I strive to develop strategies that truly enhance the customer experience, whether it’s through acquisition, conversion, or support. - Product Development: Creating impactful products from scratch, such as the Artwork Management system, the Jio Healthhub feed app, and a Refund & Customer Support system, has been a rewarding challenge. I take pride in building highly available and scalable distributed systems that can handle over 50 million transactions effectively. - Technical Skills: My experience with APIs, third-party integrations, no-code tools, Python, distributed systems, Microservices design, and LLM engineering for tasks in e-commerce listing and product analytics allows me to contribute meaningfully to innovative solutions. - Collaboration: I believe in the power of collaboration and have enjoyed working with cross-functional teams in marketing, sales, finance, support, and operations. Together, we can create products that truly make a difference in people’s lives.

Rahul A.

Remote Ai/ml model lifecycle management developer in India (UTC-7)

Machine Learning Engineer with 5.5+ years of experience in designing and developing end-to-end ML systems, recommendation engines, and NLP solutions. Expertise in NLP, ML, Generative AI, transformers, and fine-tuning models. Proficient in MLOps tools like Airflow, Docker, and MLflow to build scalable, efficient ML workflows. Passionate about leveraging AI to drive innovation and enhance user experiences.