Hire the Top 2% of
Remote Ml Models Operationalization Developers
in India

Ganapathy S.

Vetted Ml models operationalization developer in India (UTC+6)

At the helm of TensorHub Technologies, I lead the charge in shaping the future of AI, specializing in Conversational and Generative AI. With my hands-on involvement, our team is pioneering innovative AI solutions that are not only cutting-edge but also pragmatic, ensuring they drive tangible business results and empower a technical workforce. My strategic approach has been honed through leading corporate training and consulting, where I have fostered a culture of non-status quo thinking and continuous innovation. This ethos has proven instrumental in securing significant revenue growth and achieving customer satisfaction through tailored AI strategies and transformative digital solutions. Emerging Tech & Innovation Leader with 30 years’ experience in an ever-evolving technology landscape with track record of inspiring excellence in creating new services lines & technology adoption in Generative AI, AI & ML, Digital Transformation, Cloud Data Platform, Advanced Analytics, and by creating team culture based on performance and innovation. Extensive corporate training experience covering Data Science, AI / ML and Generative AI. Trained over 2000+ participants in the last 1 year. Futuristic & forward-focused Leader having analytical bent of mind & track record of striving in uncertainty, curiosity & challenges.

Kanak S.

Vetted Ml models operationalization developer in India (UTC+6)

**MACHINE LEARNING ENGINEER with +7 years of experience.** At MediaRadar, Inc., our team has propelled machine learning innovation, developing a Siamese-based model that significantly increased top-10 accuracy and acceptance rates. With a Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology, Jodhpur, I've honed my technical acumen to specialize in Large Language Models (LLM) and Machine Learning Algorithms, integrating them to enrich ads data and augment datasets for improved model generalization. My journey is marked by a relentless pursuit of excellence and collaboration. Building on my foundational programming skills certified by LinkedIn and Coursera, my current focus lies in optimizing ML pipelines and leveraging GPT to automate processes. Such initiatives not only enhance performance but also drive the transformative power of AI to the forefront of ad tech industry innovation.

Pranesh S.

Vetted Ml models operationalization developer in India (UTC-7)

I am a Genai researcher at Monotype, specializing in generative models,NLP, and recommender systems. I have experience in ML engineering, research, and development across various industries.

jithin K.

Vetted Ml models operationalization 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.

Riya P.

Remote Ml models operationalization developer in India (UTC-7)

Intel Corporation relies on contributions to post-silicon validation, AI domain testing, and automation processes to optimize platform performance. The role emphasizes Python scripting and creating scalable test cases across AI and multimedia domains for efficient execution. With an MTech in Computer Science from Dr. B R Ambedkar National Institute of Technology, expertise spans silicon validation, cryptography, and steganography. Motivated to advance AI/ML validation processes, fostering seamless integration and superior software quality.

Christy J.

Remote Ml models operationalization 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

Rishabh J.

Remote Ml models operationalization developer in India (UTC+6)

I am a **Data Scientist** having **10 years** of experience in **Data Science and Backend Developement**. I specialize in **Python, Machine Learning, LLMs, and Gen AI**, using **prompt engineering** to make models more accurate and relevant. I have worked on **Large Language Models like GPT-4**, enhancing text generation **accuracy by 30%** using **Generative AI techniques.** I have utilized **prompt engineering** and **RLHF** techniques to enhance **model accuracy and response quality by 25%**, and improved data readiness for **training by 30%** while reducing **processing time by 20%.** With over **10 years** of experience, I've helped create effective solutions that drive better results.

Raja B.

Remote Ml models operationalization 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.

Noor S.

Remote Ml models operationalization developer in India (UTC+6)

An active machine learning professional with over 8 years of interdisciplinary experience spanning natural language processing, computer vision, and geometric learning, while also bringing significant full-stack experience on board. Technical co-founder at two VC funded (and exited!) startups, with a proven track record of taking projects from concept to commercial success. A passionate reader and mom to four cats!

nilesh M.

Vetted Ml models operationalization 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