Hire the Top 2% of
Remote AWS SageMaker Developers
in India

Dhiraj K.

Vetted AWS SageMaker developer in India (UTC+6)

15+ years of experience as a software developer and 9+ years of experience as a data scientist. Excellent expertise in Python programming, and ML frameworks such as TensorFlow, PyTorch, Pandas, Numpy, and MLOps platforms such as SageMaker. Analyzed audio data using LibROSA and Kaldi. Experience in the development of RAG models. Expertise in architecting, developing, productionizing, and scaling GenAI applications, Computer Vision models, and Recommender systems Experience with LangChain, vector databases, and similarity search

Divyanshu S.

Vetted AWS SageMaker developer in India (UTC+6)

A proactive and curious Senior Machine Learning Engineer with 7 years of expertise in crafting Artificial Intelligence (AI) products for multiple Fortune 500 companies, including Microsoft and Samsung. With a robust and versatile skill set anchored in programming languages, frameworks, and technologies like Python, Pandas, Amazon Web Services (AWS), Amazon S3, Kubernetes, and, Docker, he brings expertise in implementing end-to-end solutions, building, deploying, executing, maintaining, and optimizing production Machine Learning (ML) pipelines. Divyanshu is also versed in automating solutions and writing unit and integration tests. Combining his outstanding technical background with excellent interpersonal skills, he is valued for collaborative teamwork, leadership and communication capabilities, and a knack for problem-solving, effectively delivering top-notch solutions that exceed client expectations.

Rajan G.

Vetted AWS SageMaker developer in India (UTC+6)

With 8 years of experience in software development and project implementation, I am a passionate and skilled machine learning engineer who thrives on delivering innovative and impactful solutions for the computer software industry. I currently work as a Machine Learning Engineer III at Phenom, a global leader in talent experience management. Looking for a place to implement and work on extensive data, machine learning pipelines with like-minded people and learn new things.

milan S.

Vetted AWS SageMaker developer in India (UTC+6)

Experienced Python developer adept in Flask framework and AWS solutions, with a strong focus on system design.Skilled in architecting scalable and resilient systems, leveraging Python's versatility along with Flask's micro service architecture and AWS services to craft efficient and maintainable solutions that meet complex business requirements.

varun S.

Vetted AWS SageMaker developer in India (UTC+6)

Experienced AI/ML Engineer with over 5 years of full-stack AI/ML solution development, specializing in Large Language Models (LLM), Generative AI, and GPT. Proficient in integrating state-of-the-art research into practical AI architectures successfully implemented LLM and Generative AI products in media and entertainment sectors. My leadership skills are demonstrated through guiding a team of five in AI/ML innovations, fostering a culture of continuous learning and innovation § **END-TO-END AI/ML SOLUTIONS:** Demonstrated proficiency in full-stack AI/ML development, with a comprehensive background in **_LLM, Generative AI, Computer Vision, NLP, MLOps, and data engineering_,**leading to the delivery of robust AI products and actionable solutions for complex business challenges. § **STRATEGIC AI LEADERSHIP:** As a team leader and mentor, **guided AI/ML teams in developing and executing visionary AI** strategies aligned with company goals. This includes **managing vendor relations, heading project teams, and fostering a culture of continuous innovation and learning.** § **AI RESEARCH AND DEVELOPMENT_:_** Adapted cutting-edge research into practical applications, significantly **enhancing AI architectures for business use cases.** Notably authored **award-winning research** papers on digital governance and developed predictive models for e-governance, earning recognition in national reports. § **Diverse AI Framework Proficiency:** Showcased versatility across multiple AI platforms and tools, including **TensorFlow, PyTorch, FastAPI, and various cloud services**. This also encompasses the deployment of machine learning models, **leveraging Docker, Kubeflow, and MLflow, and optimizing infrastructure for scalability**.

yashaswi K.

AWS SageMaker developer in India (UTC+6)

I'm a Passionate Machine Learning engineer where I'm always eager to pick challenges and sort out an issue within a confined time. Would love to lend a hand and collaborate with people in solving problems. I have working experience in MNCs for around 5 years. My expertise lies in Python, Machine Learning, Data science,C#,Angular,Devops ,AWS and AWS Sagemaker

Venkata P.

AWS SageMaker developer in India (UTC+6)

A software developer by passion with interests in Distributed Systems, Database development, Software Architecture and Deep Learning. A continuous learning investing time in learning new technologies, reading research papers & technical blogs in the fields of interest. Just Started learning Rust.

Dileep V.

AWS SageMaker developer in India (UTC+6)

Expert Professional with 5+ years of experience as Machine Learning/Deep Learning Engineer. ● Experienced in developing LLM applications using langchain, RAG and AI Bots. ● Experienced in Deploying and Maintaining Models in AWS Cloud using Services like AWS Lambda,AWS EC2,AWS S3, AWS SageMaker, AWS Kinesis etc.Skilled on utilizing tools like TensorFlow, PyTorch, Keras and Scikit-learn etc. ● Strong Experience in handling relational databases like MySQL/SQL Server using SQl. ● Extensive Knowledge on building production ready models with accurate metrics. ● Strong Experience in creating docker images with ML/DL Models and deployed to AWS Lambda service / Flask API. ● Experience in working with NO-SQL databases like influxdb. ● Excellent analytical, negotiation & interpersonal skills with demonstrated communication and relationship management abilities. ● Able to work in a fast paced environment and reach stringent timelines. ● Capable of adopting new domains, technologies, concepts and environments.

Vaibhav R.

AWS SageMaker developer in India (UTC-8)

Sr. Machine Learning Engineer with 13 years of experience. Proficient in Data Science, Statistics, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Algorithmic Trading, Recommendation System, Computer Vision, Natural Language Processing (NLP), ML on Cloud frameworks, Data Pipelines, BigData, ETL sand Distributed systems, Python, C++, CUDA, High Performance Computing, Generative AI, Large Language Model, OpenAI Full stack Data Scientist/Machine Learning Engineer who’s having experience in Data Preprocessing and Feature Engineering, Modelling ML/DL architecture and Training, Model Validation and Hyper parameter Tuning, Deploying Models in Production on different cloud environments (AmazonEC2, MicrosoftAzure), Building retraining pipeline for continuous improvement of application, Developing backend application (REST API development) which can consume the Model and supporting those application. Experience in different cloud technologies related to Machine learning application development like Amazon SageMaker, Google Cloud Machine Learning, Azure Machine Learning. Experience in Data Engineering which involves ETL, Big Data, Cloud Data Pipelines etc. Experience in story telling about data science projects using various data visualization techniques. Experience with varied forms of practical data, including Image, Speech, Text, Video, Motion-capture & other high-dimensional data. Having experience in solving Recommendation system, Computer Vision and Natural Language Processing (NLP) problems. Experience of working in multiple domains such as Retail, Quantitative Finance, Banking etc. in several client facing projects. Experience in Leading, hiring and mentoring resources in Data Science projects.

Fasith A.

AWS SageMaker developer in India (UTC-8)

Senior Machine Learning Platform Lead with extensive experience in designing and implementing scalable ML data infrastructure. Proven track record in optimizing feature engineering and data transformation pipelines, managing cross-functional teams, and delivering innovative solutions.