AI / ML : Engineers & Architect

Role : AI / ML : Engineers & Architect

Duration : 3 Months+ (Extendable)

Location : Chennai / Hyderabd

Experience : 5+ years

Job Description :

We are seeking an experienced

AI / ML Engineer

to design, develop, and deploy scalable machine learning and AI solutions across our digital ecosystem. The ideal candidate will collaborate with data scientists, engineers, and domain experts to transform large datasets into actionable insights and AI-driven applications that enhance research and operational efficiency.

Key Responsibilities :

Design, develop, train, and deploy

machine learning (ML)

and

deep learning (DL)

models for life sciences and manufacturing use cases.

Collaborate with cross-functional teams to identify opportunities for AI / ML-driven automation and optimization.

Implement

end-to-end ML pipelines

– from data ingestion and feature engineering to model training, validation, and deployment.

Work with

big data platforms

(Databricks, Snowflake, AWS Sagemaker, Azure ML, etc.) to manage and process large-scale datasets.

Develop

NLP, computer vision, or predictive analytics

models for applications in research, digital labs, and customer analytics.

Collaborate with software engineering teams to

productionize and integrate AI models

into enterprise applications.

Conduct performance tuning, model monitoring, and continuous retraining as needed.

Stay updated with emerging trends in AI / ML technologies and tools.

Required Skills and Qualifications :

Bachelor’s or Master’s degree in

Computer Science, Data Science, Statistics, or related field

Proficiency in

Python

SQL

, and ML frameworks such as

TensorFlow

PyTorch

Scikit-learn

XGBoost

, or

LightGBM

Strong understanding of

data structures, algorithms

, and

statistics

Experience with

cloud-based ML platforms

– AWS SageMaker, Azure ML, or GCP Vertex AI.

Hands-on experience in

MLOps

– model versioning, CI / CD, and monitoring using tools like MLflow, Kubeflow, or Airflow.

Exposure to

NLP, computer vision

, or

time-series forecasting

techniques.

Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications :

Experience in

Life Sciences / Healthcare / Pharma / Biotech

domains.

Familiarity with

data engineering

tools like Databricks, Apache Spark, or Snowflake.

Knowledge of

GenAI

and

LLM fine-tuning

(e.g., OpenAI, Hugging Face, LangChain).

Experience deploying models as REST APIs or microservices using Flask / FastAPI.

Understanding of

data governance, model ethics, and regulatory compliance

in AI applications.

Work on impactful projects driving innovation in healthcare and life sciences.

Collaborate with global teams across R&D, engineering, and data science.

Access to cutting-edge AI / ML platforms and technology ecosystem.

Inclusive, diverse, and innovation-driven culture.