Top Machine Learning Engineer Jobs in Mumbai, MH
Develop and implement machine learning models for risk management, collaborate with stakeholders, and optimize model development processes using cutting-edge technology. Require Ph.D. or MS in related fields.
Join a company focused on delivering business benefits through AI/Machine Learning solutions. Responsibilities include identifying opportunities, prototyping, collaborating with BI & Analytics, conducting research experiments, and deploying end-to-end data science solutions with challenging datasets. Required skills: Python, ML tool kit, DL frameworks, ML deployment strategies, micro services, infrastructure.
Software Engineer III at JPMorgan Chase within the Asset & Wealth Management responsible for AI/ML software solutions, design, development, and technical troubleshooting. Experience in AI/ML, NLP, and deploying Machine Learning Models into production.
Seeking an Engineer III with expertise in ML Ops to design and build a modern ML-Ops platform, modularize ML code, establish repeatable patterns for model development, and leverage cloud services. This role involves collaborating with Data Platform Software Engineers, Data Scientists, and Threat Analysts to influence critical business decisions through scalable ML pipelines.
The Sr. Engineer - ML Ops at CrowdStrike will play a crucial role in building the ML Experimentation Platform and designing scalable ML pipelines. Responsibilities include modularizing ML code, establishing repeatable patterns for model development, and leveraging cloud services in a cloud-first environment.
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.
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.
Lead ML Scientist responsible for transforming problems into analysis plans, developing predictive algorithms, monitoring model performance, and collaborating with cross-functional teams. Requires 6+ years of experience in machine learning roles with expertise in Python, TensorFlow, PyTorch, and Scikit-learn.
Featured Jobs
Lead ML Scientist role at Dream Sports focusing on transforming problems into analysis plans, developing predictive algorithms, monitoring model performance, and collaborating with cross-functional teams.
Principal Architect role in AI/ML with over 15 years of experience. Responsible for architecting, designing, and implementing end-to-end ML solutions and providing technical expertise in AI/ML technologies. Drive research activities, collaborate with teams, ensure quality and performance of AI/ML models, and contribute to AI/ML strategy aligned with business goals.
Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.
Integral role in designing and developing robust data pipelines and models to drive AI features within existing products and facilitate the creation of new products. Responsibilities include data processing and model innovation, traditional software engineering, collaboration and leadership, performance optimization, and AI ethics and governance.
Collaborate with data scientists and machine learning engineers to build backend systems, design and implement APIs, optimize backend infrastructure, and maintain CI/CD pipelines for automated testing and deployment. Requires 5+ years of experience in commercial software development with strong analytical skills and familiarity with microservice architecture.
The ML Engineer will be responsible for conceptualizing, designing, and implementing ML models for dynamic pricing strategies and personalized product recommendations. They will work on data pipelines, develop and deploy machine learning models, and collaborate with cross-functional teams to align solutions with strategic objectives.
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.
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.
Seeking a talented Senior Generative AI Engineer with experience in developing and training Generative AI models. Responsibilities include implementing advanced machine-learning algorithms and models to enhance the platform's capabilities. Must have proficiency in Python and hands-on experience with machine-learning models.
Lead the design and implementation of data architectures, develop data pipelines, manage databases, oversee data quality and governance, provide mentorship and leadership, collaborate with stakeholders, and monitor performance for a digital banking platform.
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.
Seeking a dynamic Recruiter with 4+ years of experience in in-house or consulting recruitment supporting diverse business needs. Responsibilities include talent acquisition, candidate relationship management, collaboration with hiring managers, job posting, interviewing and evaluation, and data management. Must have experience in Europe/UK hiring and strong communication skills.
Design and develop innovative ML-powered product capabilities, work through the entire feature lifecycle, collaborate with the team, and contribute to identifying and solving technical challenges around data streams.
As a Senior AI Research Engineer at Fractal Analytics, you will be responsible for building deep learning-based scalable AI infrastructure, productionizing deep learning models, and leveraging cutting-edge AI solutions for Fortune 500 companies. Responsibilities include understanding client requirements, designing solutions, and staying updated on the latest research in deep learning.
Looking for an AI Research Scientist to explore new ideas, design and implement next-generation architectures/techniques in image/video, language, audio, and multimodal space. Collaborate with a multidisciplinary team to develop and deploy practical and scalable solutions to real-world challenges. Conduct research in Machine Vision, NLP, Deep Learning, RL, and Agentic systems.
Top Mumbai, MH Companies Hiring Machine Learning Engineers
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