Currently pursuing a Bachelor’s or Master’s degree or PhD in computer science or a related discipline with a focus on artificial intelligence, machine learning and computer vision.
A mathematical, statistical and probability inclination and deep understanding of some AI concepts.
Strong coding skills in Python or any AI language of choice.
Academic / Industry experience in Computer Vision or NLP and Machine Learning.
Expertise in Clustering Algorithms such as DBSCAN, K-Mean, and etc
Expertise in Cross-Modality Knowledge
Understanding of the usage of Transformer-based Language Models for textual embedding
Understanding of the usage of Computer Vision Models for image embedding or feature extraction
High Dimensional Vector Visualizations using PCA, TSNE
Ability to run experiments scientifically and analyze results.
Good to have:
Knowledge into Auto encoders, Latent semantic analysis (LSA), Latent discriminant analysis (LDA), Principal component analysis (PCA), Kmeans, DBSCAN, mediod allgorithms, Kmeans, DBSCAN, mediod algorithms, Fischer Discriminant Analysis (FDA)
What you will do:
Breaks down and understands complex business problems, translating it to a machine learning problem.
Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements.
Collaborates with development teams to test and deploy machine learning models.
Creates metrics to continuously evaluate the performance of machine learning solutions.
Keeps up with new tools, algorithms and techniques in machine learning and AI to implement them in the organization.
Instructions To Be Followed Before Applying for the Job:
Review the Job Description: Carefully read through the job description to understand the role, responsibilities, and requirements. Make sure that you have a clear understanding of what position you are applying.
Crosscheck Your Skills: Compare the skills listed in the job posted description with your skill set. Evaluate whether you possess the necessary technical and non-technical skills for the mentioned role. Highlight your strengths and identify any areas that may need improvements.
Check Eligibility Criteria: Verify if you meet the criteria as mentioned in the job posting, such as your educational qualifications, work experience, or relevant certifications. Ensure you fulfill the basic requirements before proceeding further.
Customize your resume and Cover Letter: Align your resume with the specific requirements mentioned in the job description. Highlight relevant experiences and skills that make you a strong fit for the role.
Research about the Company: Take some time to research the company that you are applying to. Understand the vision, culture, mission, and services they offer. This knowledge will make you tailor your application and tell you that you’re interested in the company.
ResumeDo’s:
Clearly highlight your contact information, including your name, number, email address, and LinkedIn profile(if applicable). Make sure that mentioned details are easily visible at the top of your resume.
Generate a concise professional summary or objective statement that effectively presents your career objectives while emphasizing your pertinent skills and experiences.
Include any relevant work experience, internships, or projects, focused on your accomplishments and responsibilities.
Highlight your technical skills, programming, tools, and software that are relevant to the job you’re applying for.
Provide a comprehensive overview of your educational background, encompassing the institution’s name, the degree obtained, the major of study, and the date of graduation.
Mention any certifications, training programs, or workshops that you have completed for the position(if any).
Use bullet points to organize information and make it easy to read. Keep sentences concise and use specific examples to concise your skills.
ResumeDon’ts:
Avoid including unnecessary information such as your marital status, gender, and dob. Focus on professional and job-related details.
Don’t provide false information. Be honest about your skills, as employers may verify the information that you provided during the hiring process.
Don’t use a generic resume for all job applications. Take the time to customize your resume for each position to highlight your skills.
Avoid including references directly on your resume. Perhaps, provide a separate reference page if requested by the employer
Avoid using long paragraphs. Instead, use bullet points and concise sentences to make your resume more readable. Infrrd Infrrd Infrrd Infrrd Infrrd Infrrd Infrrd
Remember, a well-arranged resume should be concise and focused on showcasing your relevant skills, and qualifications to make a strong impression on potential employers.
