Senior AI/ML Python Developer

3 weeks ago

Bengaluru, India Ajmera Infotech Inc. Full time
Position: Senior AI ML Python DeveloperExperience: 5+ YearsEducation: BTech/BE-Computer Science, AI&ML, Data Science, IT, MS/MTech. MSc IT, AI&ML, Data ScienceNo of Positions: 5Mode: HybridLocation: Bangalore, Ahmadabad, Hyderabad, Pune, Gurugram, and Chennai

ABOUT AJMERA INFOTECH

Established in 2012, our company specializes in software research and development, focusing on high availability and mission-critical systems. We are proud to be the architects behind the technology powering some of the top 250 banks and wealth management organizations.

Join Ajmera Infotech: Where Cutting-Edge Technology Meets InnovationAt Ajmera Infotech, we're on a mission to redefine the digital landscape through our technological expertise and innovative solutions. We're seeking developers with a passion for technology and a desire to tackle complex challenges. Here’s what sets us apart:

Tech Expertise & Innovation:Diverse Tech Stack: Work with a wide array of technologies including scalable web applications, mobile apps, and cloud-native solutions across platforms like AWS, Google Cloud, and Azure.Leading-Edge Projects: Engage in projects involving AI, machine learning, IoT, and blockchain, pushing the boundaries of what's possible.Continuous Learning: Stay at the forefront of technology with access to the latest tools, resources, and training.

Position Overview:

We are seeking a talented Software Engineer with expertise in machine learning to join our newly formed Artificial Intelligence (AI) and Machine Learning (ML) team. As a Software Engineer, you will play an important role in supporting the AI and ML Computer Vision lead in training ML models and help them create training datasets, label and annotate these data sets for ongoing training, feedback and inference. There will be ample opportunities to create computer vision models touching some of the client's most vital processes.

Requirements

Design, implement, and optimize machine learning models and algorithms to solve complex problems in various domains such as natural language processing (NLP), computer vision, and predictive analytics.

Develop and maintain machine learning solutions using Python, PyTorch, TensorFlow, and other relevant frameworks and libraries.

Apply NLP techniques to extract valuable insights from unstructured and structured data sources.

Develop and implement NLP models for tasks such as language understanding, sentiment analysis, and information extraction.

Collaborate with cross-functional teams including data scientists, software engineers, and domain experts to understand requirements and deliver scalable AI/ML solutions.

Conduct data analysis and statistical modeling to derive actionable insights and drive data-driven decision-making processes.

Stay updated with the latest advancements in AI/ML technologies and methodologies, and proactively apply them to enhance existing solutions and develop new capabilities.

Document and communicate technical concepts, project plans, and results effectively to both technical and non-technical stakeholders.

Required Qualifications:

Bachelor’s degree in computer science, AI&ML, Data Science, or a related field.

Proven experience in creating training data sets, labeling, and annotating data sets for Machine Learning projects.

Strong understanding of machine learning algorithms, techniques, and frameworks.

Proficiency in Python or similar programming language needed for Machine Learning.

Experience with machine learning libraries and frameworks, like TensorFlow or PyTorch..

Solid knowledge of data preprocessing, feature engineering, and model evaluation techniques.

Familiarity with any cloud platforms like AWS or GCP, and experience deploying and managing models.

Strong analytical and problem-solving skills, with the ability to think critically and creatively to solve complex business problems.

Excellent communication and collaboration skills, with the ability to effectively convey technical concepts to non-technical stakeholders.

Preferred Qualifications:

Experience working on AI and ML projects in a professional setting.

Familiarity with data visualization tools and techniques for communicating machine learning results

Experience with natural language processing (NLP) and computer vision techniques.

Understanding of software development methodologies, such as Agile or DevOps.

Benefits

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