Top Machine Learning Jobs in Pune, MH

Backend software engineer role at Boomi, working on AI/ML technologies. Responsibilities include collaborating on software development lifecycle, design, development, testing, and deployment of Boomi products. Requires expertise in Python and Java, knowledge of Generative AI technologies, and 3+ years of experience in development.

Principal Software Engineer role at Boomi focusing on AI/ML technologies. Collaborate on software development lifecycle, design, and deployment of products. Research and recommend technologies for robust services, mentor team members, and stay updated on industry developments.

Boomi is seeking a Senior Software Engineer (AI/ML) with strong technical expertise in backend development. The ideal candidate will collaborate in the software development lifecycle, design and deploy Boomi products and services, research and recommend technologies, mentor team members, and stay updated on the latest industry developments.

Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure and collaborate with diverse teams to deliver impactful solutions. Responsible for architecting and deploying ML models, propelling products to new levels of success.

We are looking for a Rust Engineer to contribute to our groundbreaking Hiveon ASIC Firmware product, revolutionizing the world of ASICs with innovative and game-changing solutions of our firmware.

As a Software Engineer on our ML Product team, you will be responsible for defining and improving the workflow of our open-source machine learning tools. You will work closely with technical product managers and have hands-on experience in deep learning. Strong communication and software engineering skills are required.

Lead the design and development of machine learning solutions for Twilio's Flex product team. Collaborate with cross-functional teams to innovate and deliver scalable ML models. Remote role based in India with occasional travel required.

As an Engineering Manager at Turing.com, you will lead a team of talented engineers, drive technical vision and execution of complex projects, and foster a culture of continuous improvement and excellence. Key responsibilities include leading innovation efforts, managing project allocation, optimizing development processes, and identifying high and low performers in teams. Requires strong leadership in Python with Python expertise and experience in Computer Vision (CV) as a plus.

Design, implement, monitor, and maintain machine learning systems for the Aera platform. Collaborate with Data Science, Engineering, and DevOps teams. Build core machine learning infrastructure using state-of-the-art approaches.

Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure, from model training to deployment, in a fintech company. Responsibilities include implementing cutting-edge ML infrastructure, providing technical leadership, mentoring junior engineers, and collaborating with diverse teams to deliver high-quality ML solutions in the FinTech industry.

Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure, from model training to deployment. Responsibilities include implementing ML infrastructure, providing technical leadership, mentoring a team of engineers, collaborating with data scientists, and establishing best practices for model deployment.

Lead a team of engineers in developing and integrating ML systems and software solutions, improve performance and efficiency of products, mentor junior developers, and oversee project completion and talent development.

Seeking an experienced Recruiter to join the Talent acquisition team at Tiger Analytics, an advanced analytics consulting firm. Responsibilities include end-to-end recruitment processes, candidate relationship management, collaboration with hiring managers, job posting and advertisement, interviewing and evaluation, and data management. Requirements include 4+ years of in-house or consulting recruitment experience, experience in hiring data analytics-related roles, knowledge of Europe/UK hiring, and strong communication skills.

Senior Data Engineer responsible for driving the design, implementation, and deployment of intelligent solutions combining Data Science, Engineering, and Operations practices for core products. Collaborate with cross-functional teams to build transformative solutions. Design ML model lifecycle management pipelines, data models, and data pipelines. Implement and test prototype ML models, translate ML prototypes into production solutions. Document best practices for data management and model performance monitoring. Requires MS/PhD in Computer Sciences or Engineering. Experience with developing algorithms and machine learning products using Scala, Python, R, Java, Spark. Strong scripting skills, experience with machine learning tools and frameworks. Passion for work, attention to detail, and excellent interpersonal skills. Knowledge of Life Sciences Domain is a plus.

Develop and maintain the ASIC Hub application, ensuring seamless communication with devices within the local network. Implement robust TCP/UDP communication protocols to facilitate efficient data exchange. Design and write system monitoring solutions tailored to the unique requirements of the mining industry. Collaborate closely with a team of Go Engineers, sharing knowledge and expertise to drive the project forward. Engage in data-driven development, managing and optimizing the flow of large datasets.

Looking for a Machine Learning Engineer with 6+ years of experience in AI and Machine learning to build efficient, data-driven artificial intelligence systems. Responsibilities include designing, developing, testing, and deploying machine learning models, collaborating with cross-functional teams, optimizing model performance, and staying updated on the latest ML technologies.

Seeking a DevOps Engineer with experience in Google Cloud Platform and machine learning to design, implement, and maintain infrastructure and workflows. Responsibilities include integrating machine learning models, developing CI/CD pipelines, and ensuring reliability and security of products. Bachelor’s degree required. Must have 3 years of DevOps or SRE experience with strong skills in Terraform, Docker, Kubernetes, and machine learning frameworks such as TensorFlow or PyTorch.