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Machine Learning Engineer

3 months ago

Noida, India CodeVyasa Full time

Looking for a Senior Machine Learning Engineer| Noida/Gurgaon to join a team of rockstar developers. The candidate should have a minimum of 5+ yrs. of total experience.


5+ yrs of experience in Machine Learning or NLP(Natural Language Process).


There are multiple openings. If you're looking for career growth & a chance to work with the top 0.1% of developers in the industry, this one is for you You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers).


Company Background - CodeVyasa is a Software Product-Engineering and Development company that helps Early-stage & Mid-Market Product companies with IT Consulting, App Development, and On-demand Tech Resources. Our Journey over the last 3 years has been nothing short of a roller-coaster. Along our way, we've won some of the most prestigious awards while driving immense value to our customers & employees. Here's the link to our website (codevyasa.com). To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q2 2024


Requirements:



• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related

field.

• 5-8 years of experience in building and deploying machine learning models.

• Proven experience with natural language processing (NLP) and large language models (LLMs),

including OpenAI GPT, Mistral, and LLAMA, with successful execution of related projects.

• Familiarity with Langchain framework and its application in developing ML solutions.

• Experience in developing ML models using algorithms such as linear regression, random forest,

decision tree, and other advanced techniques.

• Proficiency in supervised, unsupervised, and reinforcement learning models.

• Strong programming skills in Python and proficiency with ML libraries such as TensorFlow,

PyTorch, and scikit-learn.

• Solid understanding of MLOps principles and experience with tools such as MLflow, Kubeflow,

or similar.

• Experience with AWS cloud platforms for deploying and scaling ML models, including AWS

SageMaker, AWS Lambda, Amazon S3, Amazon EC2, and Amazon EKS.

• Proficiency in data analysis and manipulation using tools like pandas, NumPy, and SQL.

• Experience with data versioning and experiment tracking tools.

• Knowledge of ethical considerations and best practices in AI/ML


What We Offer:

Glassdoor rating of 4.8, indicating high employee satisfaction.

Free healthcare benefits.

Strong focus on upskilling and professional development opportunities.

Diverse and inclusive work environment.

Competitive compensation and benefits package.

Emphasis on maintaining a healthy work-life balance.