Machine Learning Engineer - 2 in Bengaluru, India

Job Description : We are looking for a Senior Associate AI/ML Engineer with 3 - 5+ years of hands-on experience in ML Engineering or Applied AI. The role involves designing, developing, optimizing, and deploying production-grade machine learning and multimodal AI solutions across text, image, audio, and video https://jobeax.com/link/CYOxrWtv7KilJskJ ...

AI/ML EngineerLocation : Bhopal | Pune | BangaloreExperience : 6 - 12 YearsAbout the Role :LatentBridge is seeking an experienced AI/ML Engineer to lead the end-to-end design, development, and deployment of enterprise-scale Artificial Intelligence and Machine Learning solutions. You will architect robust, scalable, and ...

• Full-time

Suggested Full time Work at office Immediate start

• Hybrid
• On-site

... Azure (Azure OpenAI Service, Cognitive Services, Azure Machine Learning) or https://jobeax.com/link/x0s8XtEWiLbcDcct Qualifications :- Databricks Certified Machine Learning Professional or Generative AI Engineer certification.- Microsoft Certified: Azure AI Engineer Associate (AI - 102).- Demonstrated experience optimizing ...

• Hybrid
• On-site

... Azure (Azure OpenAI Service, Cognitive Services, Azure Machine Learning) or https://jobeax.com/link/x0s8XtEWiLbcDcct Qualifications :- Databricks Certified Machine Learning Professional or Generative AI Engineer certification.- Microsoft Certified: Azure AI Engineer Associate (AI - 102).- Demonstrated experience optimizing ...

... business impact to senior stakeholders.- Manage expectations, timelines, dependencies, and delivery priorities across multiple initiatives.5. Data Science Engineering & Deployment:- Collaborate with engineering teams to productionize machine learning models and analytical solutions.- Promote scalable ML pipelines, reproducible ...

... Language: Advanced proficiency in Python with a strict adherence to Object-Oriented Programming (OOP) principles, clean coding standards, and design patterns. Machine Learning Libraries: Advanced proficiency in scikit-learn (sklearn) for data preprocessing, feature engineering, and baseline modelling. Deep Learning Frameworks: ...

• Full-time

Fruit Vegetable Full time Shift work

₹2.64 INR / year

...during probation: After probation: Annual CTC: ₹ 2,64,000 - 4,20,000 /year Number of openings 1 Editor’s note Information above is Internshala's interpretation and paraphrasing of what we found on the shared link. Additional Questions Sign up...

• Hybrid

... hands-on experience in AI/ML engineering or backend systems. Proficiency in Python. Proven track record of building scalable backend services or APIs. Expertise in machine learning, deep learning, and Generative AI concepts. Hands-on experience with LLM platforms (e.g., Deep understanding of and hands-on experience with agentic ...

... continuous improvements. Write clean, maintainable, and well-tested Python code following engineering best practices. Stay updated with the latest advancements in Machine Learning, LLMs, and Agentic AI technologies. Required Technical Skills Strong proficiency in Python Machine Learning fundamentals Natural Language Processing ...

• Remote
• Full-time

160 / year

... machine learning models and algorithms to address specific business challenges. Conduct research to improve existing models and explore new approaches in AI and machine learning. Collaborate with cross-functional teams to integrate machine learning solutions into production systems. Analyze large datasets to identify patterns ...

• Remote
• Full-time

Rs 12 - 15 lakhs p.a.

... https://jobeax.com/link/2DENLGgQM7whDhaE, BCA, MCA, https://jobeax.com/link/s1WvHFV9ITSwCkyS, B.Sc., M.Sc., or related programs. 2. Strong interest in artificial intelligence, machine learning, and generative AI. 3. Knowledge of one or more of the following, Python, machine learning, artificial intelligence, deep learning, natural language ...

... research. We trade across a multitude of asset classes and trading venues using a diverse range of concepts, from time series analysis and stochastic models to machine learning and statistical inference. We analyse terabytes of data to identify pricing anomalies and drive innovation in financial markets. Key Responsibilities ...

... Troubleshoot complex technical issues across AI applications and https://jobeax.com/link/pNYMYAcVgoA9do1S Skills : - 10-12 years of experience in software engineering, AI/ML engineering, or related technology roles.- Strong proficiency in Python.- Extensive experience with Machine Learning, Deep Learning, NLP, and Generative ...

• On-site

... development, testing, and maintenance of enterprise-grade software systems deployed on public cloud platforms, including AWS and Azure. Familiarity with AI and machine learning technologies, advanced UI development using ReactJS, and hands-on banking domain experience—especially KYC/AML solutions—is highly sought. This role ...

Position Description : As a Research Engineer, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP https://jobeax.com/link/swtg2G4xFFn4ELbL will contribute to the development of intelligent systems for automated ...

• Remote
• Hybrid
• On-site

... other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some ...

Seeking a Data Engineer to build and optimize scalable data solutions for Fraud Detection, Reporting, and Machine Learning . This individual contributor role focuses on real-time streaming, large-scale data processing, cloud platforms, and analytics engineering . The ideal candidate has strong expertise in Apache Spark, ...

... and more. Job Title: Data Scientist 2 Understand data landscape Perform ad-hoc analysis and present results in a clear manner Work on the full lifecycle of machine learning development including sourcing, dataset curation, feature engineering, model training, model tuning, and offline & online experimentation Strong programming ...