Machine Learning (ML)
Data ScienceJob Description
Responsibilities:
- Collaborate with stakeholders to understand business objectives and requirements for AI/ML projects.
- Conduct research and stay up-to-date with the latest AI/ML algorithms, techniques, and frameworks.
- Design and develop machine learning models, algorithms, and data pipelines.
- Collect, preprocess, and clean large datasets to ensure data quality and reliability.
- Train, evaluate, and optimize machine learning models using appropriate evaluation metrics.
- Implement and deploy AI/ML models into production environments.
- Monitor model performance and propose enhancements or updates as needed.
- Collaborate with software engineers to integrate AI/ML capabilities into existing software systems.
- Perform data analysis and visualization to derive actionable insights.
- Stay informed about emerging trends and advancements in the field of AI/ML and apply them to improve existing solutions.
Strong experience in Apache pyspark is must
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience of 3-5 years as an AI/ML Engineer or a similar role.
- Strong knowledge of machine learning algorithms, deep learning frameworks, and data science concepts.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with popular AI/ML libraries and frameworks, such as TensorFlow, Keras, PyTorch, or scikit-learn.
- Familiarity with cloud platforms, such as AWS, Azure, or GCP, and their AI/ML services.
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience in deploying and scaling machine learning models in production environments.
- Strong problem-solving skills and ability to work on multiple projects simultaneously.
- Excellent communication and teamwork skills.
Preferred Skills:
- Experience with natural language processing (NLP) techniques and tools.
- Familiarity with big data technologies, such as Hadoop, Spark, or Hive.
- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
- Understanding of DevOps practices for AI/ML model deployment
-Apache ,Pyspark
Shubham Vishwakarma
Full Stack Developer - Averlon
About Kanerika Software
About
Kanerika has been delivering results since we opened in 2015. Our goal is to provide both a superior customer experience and tremendous value for our customers. With over 75 years of collective experience in Software Product Development and is passionate about exceeding expectations of our clients. Our passion is developing path-breaking software products. We love challenges. We are a small team that always ensures the job is done right. It is all about : Partnership, Experience and Creativity.
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Founded by two MDI alumnus, it is a student centric and personalised learning platform that delivers enjoyable learning content as per the state boards. This ed-tech provides a solution which is easy to use, lets students enjoy learning, makes life easy for a teacher and delivers learning in the language that students are most comfortable. The organisation has worked in 14 states across India and awarded Google India under "Impacting Change through Digital".
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If Interested for this Please apply or share with good folks you know.
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Academic Qualification: Any Graduation/ Post Graduation (Completed in or before 2020)
Training: All selected candidates will be part of a two-month training process under the Business Development Trainee profile at a monthly stipend of Rs 25,000. Upon successful completion of training candidates will be promoted to the role of Business Development Associates (BDA)
The first 2 weeks of this training will be classroom training followed by 6 weeks of "On- the-Job Training", both at the BDT Training Location. There will be additional performance incentives which will be applicable during the training period. Currently till our offices re-open, the training will happen in the Work from Home mode. Once our offices are open, the training will shift to the BDT Training Location.
Upon successful completion of training based on clearing the company's expected parameters, they will be confirmed as BDA - Direct Sales (at 10 LPA) or BDA - Inside Sales (at 8 LPA). Also, only after confirmation to the BDA role, they will start work at their 'Role Location'.
CTC (BDT): INR 300000 PA fixed pay+ INR 200000 PA performance pay
CTC (BDA): INR 1000000 (7 lakh fixed pay + 3 lakh performance pay) (After Successful
completion of training)
Note for candidates confirmed as BDA-Direct Sales: In the unlikely scenario where the Direct Sales Model does not resume in their role location at the end of the Training Program, the candidate will be offered the BDA-Inside Sales (at 8 LPA) role in Bengaluru. They will relocate to their role location as BDA-Direct Sales (at 10 LPA) as soon as the Direct Sales model begins at their role location.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon