Company- Algotale
Location- Pune
Exp-5+yrs
Job Position- Senior AI/ML Engineer
Position Overview:
We are looking for a senior Data Scientist to join our team to solve some of the hard problems for
customers. Our client is on a mission to use data to the best in building products and in operations that
they serve to their customers. We are looking for someone who has expertise in using ML/AI
algorithms to improve the product offering, identifying and solving customer pain points, and
operations issues.
The ideal candidate is expected to show strong business acumen and understand business problems,
develop hypotheses and test the results to influence solution design. Have experience in
understanding customer emotions and sentiments which will help you to apply and shape solutions.
Should be hands on with various AI/ML algorithms in categories like classification, correlation, rca,
prediction, anomaly deduction, etc., tools for data processing, analysis and visualization,
programming languages and frameworks to derive meaningful insights. (Examples: Python, Spark, R,
TensorFlow, PyTorch, AWS Kinesis, Redshift,etc).
Roles and Responsibilities:
● Develop Code using python for machine learning
● Discuss with Engineers, Product Managers to formulate hypotheses, solutions and desired
outcomes.
● Act as Subject Matter Expert on ML, Data and AI statistical models and how they apply to
business problems.
● You will help to implement models in Machine Learning, Optimization, Neural Networks,
Artificial Intelligence (Natural Language Processing), and other quantitative approaches.
● Familiarity with Data Engineering techniques to gather, prepare, cleanse and transform data
for analysis and AI automation, including data pipelines.
● Familiarity with getting data from social media - twitter, instagram, reddit, facebook, etc.
● Create prototypes, minimally viable products
● Deliver meaningful insights and predictions
● Demonstrate business value
● Mentor and coach others in the team.
Must Have Skills:
● 5+ years of hands-on working experience as Data Scientist with deep understanding of
Machine Learning and AI algorithms- Linear Regression, Logic Regression, Decision Trees,
K-Nearest Neighbors, Neural Networks, Random Forests, NLP/NLU, etc.
● 5+ years of experience with different frameworks such as Tensor flow, PyTorch, Keros,
SparkML.
● 4+ years of hands-on coding experience with languages such as Python, R, Scala, Go, etc.
● Good experience with source control systems such as git.
Good to Have:
● Experience in prompt engineering, RAG system setup, microservices with container
technologies like Docker/Kubernetes
● Working experience with using LLM and prompt engineering to solve problem,
● Handle on deploying and running services in Kubernetes
● Experience with the AWS services (Examples: SageMaker, Comprehend, Lex, Rekognition,
Transcribe, EKS, Lambda, S3, etc)
● Experience with troubleshooting production systems.
● Good understanding and use of CICD systems such as Jenkins, Gitlab, etc.Must Have Skills:
Skills Required
- 5+ years hands-on experience as a Data Scientist with deep understanding of ML and AI algorithms (regression, decision trees, k-NN, neural networks, NLP/NLU, random forests)
- 5+ years experience with ML frameworks such as TensorFlow, PyTorch, Keras, SparkML
- 4+ years coding experience in Python, R, Scala, Go
- Experience developing machine learning code in Python for production
- Experience with source control systems such as git
- Familiarity with data engineering techniques and building/maintaining data pipelines
- Experience ingesting and processing social media data (Twitter, Instagram, Reddit, Facebook)
- Experience with prompt engineering, LLMs, and RAG system setup
- Experience deploying and running services with Docker and Kubernetes (EKS)
- Experience with AWS services (SageMaker, Comprehend, Lex, Rekognition, Transcribe, Lambda, S3, Redshift)
- Experience troubleshooting production systems and using CI/CD tools (Jenkins, GitLab)
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.
