Instructions To Be Followed Before Applying for the Job:
Read the Job Description: Start by carefully reading the job description. Make sure you understand what the job involves.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
Read the Job Description: Start by carefully reading the job description. Make sure you understand what the job involves.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
We are seeking a highly motivated and talented Machine Learning Engineer to join our dynamic team. This role is ideal for individuals with 0-2 years of experience who are passionate about machine learning, data science, and artificial intelligence. The successful candidate will work closely with our experienced engineers and data scientists to develop, implement, and improve machine learning models and algorithms that drive our products and services.
Key Responsibilities:
- Assist in the design, development, and implementation of machine learning models and algorithms.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Preprocess and analyze large datasets to extract meaningful insights and patterns.
- Perform data cleaning, feature engineering, and data augmentation to improve model performance.
- Conduct experiments to test hypotheses and evaluate the performance of different machine learning approaches.
- Implement and optimize machine learning pipelines for efficiency and scalability.
- Deploy machine learning models into production environments and monitor their performance.
- Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
- Stay up to date with the latest advancements in machine learning and related technologies.
Required Skills:
- Strong fundamental knowledge of statistical modeling, machine learning, and data mining techniques, including supervised and unsupervised learning, regression, classification, clustering, and neural networks.
- Proficient in programming languages such as Python and experience of development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant etc.
- Excellent problem-solving skills and ability to think critically and creatively.
- Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
- Internship or project experience related to machine learning or data science.
- A project portfolio with multiple real life projects (pet projects are welcome)
Preferred Skills:
- Experience with big data tools and platforms, such as Hadoop, Spark, or Hive
- Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform
- Familiarity with SQL and NoSQL databases
- Understanding of software development best practices, including version control (Git) and Agile methodologies.
Location: Bangalore
Eligibility Criteria:
1)Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
Experience: 0 to 2 years