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AIML Lead

Altysys

5 - 10 years

Pune

Posted: 12/02/2026

Getting a referral is 5x more effective than applying directly

Job Description

AIML Lead - Priority

Location- Remote

Budget -2.5L

Experience 8+yrs


Position: AIML Developer

Experience : 4+ yrs

Location : Remote

Budget: 2LPM

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.

Qualification: Bachelors degree in Computer Science Engineering, or a related technical degree.

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