Hire the Top 2% of
Remote Ai Solutions Developers
in India

Vishnu G.

Vetted Ai solutions developer in India (UTC+6)

I am a self-taught, creative engineer with expertise in multiple domains including software, electronics, embedded systems, and mechanical engineering. I thrive on cross-domain projects, leveraging my skills and knowledge to solve complex problems from unique angles. I enjoy tinkering with technology, experimenting with DIY projects, and collaborating with others to bring ideas to life. I am ambitious and driven, always seeking to push the boundaries of what is possible through the creative application of engineering principles.

Christy J.

Remote Ai solutions 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

nilesh M.

Vetted Ai solutions 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

Ernest S.

Vetted Ai solutions developer in India (UTC+6)

Accomplished technology professional with 18+ years of experience specializing in machine learning research, end-to-end data science and AI engagements, business strategy, and building high-performing teams. Experienced in building transformational machine learning initiatives in multiple domains, including ad tech, automotive, manufacturing, telecom, banking, and retail. Proficient in leveraging large language models (LLMs) and Generative AI techniques to develop innovative solutions. Led R&D teams in developing novel, futuristic applications in computer vision, machine learning, and natural language processing.

Raja B.

Remote Ai solutions 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.

Divjot S.

Vetted Ai solutions developer in India (UTC+6)

Software Engineer with 8+ years of experience specializing in front-end and full-stack development. Proven ability to build scalable applications, optimize UI performance, and lead feature development for global platforms. Passionate about delivering seamless user experiences using modern web technologies.

Harsh S.

Vetted Ai solutions developer in India (UTC+6)

Meet Harsh, a dedicated member of the Applied AI Engineering team at Target, with a focus on implementing the genAI components using Vertex AI, OpenAI and open source models. This includes working extensively with Foundation Model APIs, Search and Conversation, Model Garden, and Vector Search. My role allows me the opportunity to leverage the latest and most advanced models and products from the Generative AI community. Harsh was engaged in building a MLOps platform from scratch by building abstraction layers with scalable APIs. Proficient in Python, AWS, GCP, Spring Boot, Java, Scala, Kafka, PyTorch, TensorFlow, Flask, FastAPI, React, and Docker, Harsh's expertise spans a wide range of technologies. He is a professional introvert who thrives on writing to learn and continually seeks new knowledge every day. Harsh's fascination with Data Science stems from his mathematical captivation and love for questioning existing processes and assumptions. He excels in developing novel methods and analytical algorithms, constantly striving for consistent improvement. His proficiency in Machine Learning encompasses various algorithms, including Decision Trees, Regression, Classification, Neural Networks, Ensemble methods, Kernel Methods, SVMs, Markov Decision Processes, Game Theory, and Bayesian Learning. Additionally, Harsh has a strong grasp of statistical techniques such as Regression Analysis, Time Series Forecasting, Hypothesis Testing, and A/B Testing. He is experienced in working with applications and databases like Tableau, GitHub, Power BI, Qlik, MySQL, PostgreSQL, Apache Spark, AWS Redshift, DynamoDB, Cassandra, and Hive. Harsh's multifaceted personality shines through in his work and social interactions. As a machine learning enthusiast and sociable individual, he excels in client-facing roles, actively engaging with stakeholders to understand their needs and provide effective solutions. His passion for crunching numbers and working with datasets, alongside creating compelling visualizations, enables him to reveal the stories hidden within the data. Harsh firmly believes in empathy and gratitude, fostering positive work environments and delivering outstanding results. He places great importance on clear communication and defining requirements meticulously to ensure the team achieves the desired outcomes. Outside of work, Harsh cherishes meeting new people, engaging in meaningful conversations, and building valuable relationships. This trait complements his networking skills, making him a valuable asset in both professional and social spheres.

Akshat S.

Vetted Ai solutions developer in India (UTC+6)

I am a Senior Data Scientist with 6+ years of experience in projects involving Gen AI deep learning, user insights, and biometric identification systems. Proficient in Python, TensorFlow, and various cloud platforms. TECHNICAL SKILLS □ Languages: Python (Numpy, Pandas, Jupyter, OpenCV, Scipy, Flask, Fast API, Plotly), SQL/HQL. PySpark □ Deep Learning and ML models: TensorFlow, Keras, PyTorch, fast.ai, LightGBM, XGBoost, Scikit-Learn □ Others: GCP, Azure, Docker, Kubernetes, PySpark, Conda, Git, MLflow, JMeter, Linux Bash

Abhishek R.

Vetted Ai solutions developer in India (UTC+6)

I have over 8 years of experience in software development, specializing in Python, Flask, C/C++, microservices, AWS, and database management. I have worked at Microsoft, Intel, and Tetrasoft.

Aditya S.

Vetted Ai solutions developer in India (UTC+6)

Engineering Manager at Cisco with 10+ years in tech, leading compliance automation to streamline, secure, and scale compliance processes across teams. With a background in cloud security, DevOps, and risk management, I build products that enhance security postures, reduce compliance fatigue, and drive accuracy. I bring hands-on experience with AWS, Kubernetes, Docker, and CI/CD tooling, along with a focus on integrating AI in GRC. My work leverages machine learning to proactively address security risks, automate controls, and deliver real-time insights that support better decision-making in cloud environments. Passionate about pushing boundaries in compliance automation and cloud-native development, I strive to empower teams with next-gen tools that meet today's security and regulatory challenges.