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4 TechnoMile Jobs
Sr. Machine Learning Engineer
TechnoMile
posted 8hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We are looking for a highly skilled and experienced Senior Machine Learning Engineer to join the development of cutting-edge Natural Language Processing (NLP) solutions. The ideal candidate will have a strong background in machine learning, deep learning, and NLP- along with a proven track record of applying these skills to solve real-world problems.
The day-to-day
- Craft and refine advanced NLP systems utilizing state-of-the-art Python libraries such as NLTK, SpaCy, Hugging Faces Transformers, TextBlob, Gensim, Langchain, and scikit-learn.
- Analyze, preprocess, and interpret large datasets, applying techniques like sentiment analysis, topic modeling, and syntactic parsing.
- Develop and maintain machine learning models with TensorFlow or PyTorch, leveraging Pythons robust support for these frameworks.
- Innovate and implement new features for Document AI that leverage Azure Form Recognizers custom models and prebuilt options for specific domains.
Who you are:
- Bachelor s or Master s in Computer Science, Computational Linguistics, Artificial Intelligence, or related field.
- Minimum of 4 years of experience in Machine Learning; designing and implementing NLP solutions in a production environment.
- Experience in Python NLP libraries (NLTK, SpaCy, Hugging Face Transformers, Snorkal, Gensim) and frameworks (TensorFlow, PyTorch).
- Demonstrated skill in developing high-performance algorithms for NLP tasks, such as text classification, language modelling LLMs, or named entity recognition, using Python.
- Knowledge of state-of-the-art NLP models like BERT, GPT, T5 etc.
- Strong analytical and problem-solving skills.
- Experience in deploying Python-based NLP solutions in cloud environments (AWS ,GCP, Azure).
- Familiarity with Python web frameworks (e.g., Flask, Django) for deploying NLP applications as RESTful APIs.
- Background in deploying NLP models in a microservices architecture.
- Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Experience with CI/CD pipelines and test-driven development
Who we are:
TechnoMile provides transformative, AI-enabled cloud solutions that empower GovCon, aerospace and defense, and other types of companies doing business with the government to modernize their operations. Our SaaS products enable clients to optimize their business development and sales processes, streamline and de-risk contract management, and unlock the value of public and private data to gain an information advantage. Over 200 companies rely on TechnoMile, including more than half of both the top 10 federal defense contractors and the top 10 IT government contractors.
- We are hungry, humble, and smart. At TechnoMile, we re lifelong learners and foster an environment of growth, from onboarding, through continuous education, as well as with tuition reimbursement programs to help you advance your career.
- We love a challenge and driving innovation. We think creatively, devise new approaches to solve problems, and seek to deliver solutions and insights that others cannot.
- We are flexible. At TechnoMile, we offer remote, hybrid, and in-office options for employees to do their best work.
- We are one global team. From Tysons Corner, to Texas, to Nagpur India, you ll find TechnoMile employees across the globe, united in our collective mission of delivering transformative solutions that elevate the performance of companies doing business with the government.
Employment Type: Full Time, Permanent
Read full job description What people at TechnoMile are saying
Machine Learning Engineer salary at TechnoMile
reported by
1
employee
with 3
years exp.
₹33.3
L/yr - ₹42.5
L/yr
272%
more
than the average Machine Learning Engineer Salary in India
View more details
What TechnoMile employees are saying about work life
based on 11 employees
Flexible timing
Monday to Friday
No travel
Day Shift
TechnoMile Benefits
Work From Home 
Soft Skill Training 
Job Training 
Team Outings 
Health Insurance 
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